Network slicing : a next generation 5G perspective
- Subedi, Prashant, Alsadoon, Abeer, Prasad, Prasad, Rehman, Sabih, Giweli, Nabil, Imran, Muhammad, Arif, Samrah
- Authors: Subedi, Prashant , Alsadoon, Abeer , Prasad, Prasad , Rehman, Sabih , Giweli, Nabil , Imran, Muhammad , Arif, Samrah
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Eurasip Journal on Wireless Communications and Networking Vol. 2021, no. 1 (2021), p.
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- Description: Fifth-generation (5G) wireless networks are projected to bring a major transformation to the current fourth-generation network to support the billions of devices that will be connected to the Internet. 5G networks will enable new and powerful capabilities to support high-speed data rates, better connectivity and system capacity that are critical in designing applications in virtual reality, augmented reality and mobile online gaming. The infrastructure of a network that can support stringent application requirements needs to be highly dynamic and flexible. Network slicing can provide these dynamic and flexible characteristics to a network architecture. Implementing network slicing in 5G requires domain modification of the preexisting network architecture. A network slicing architecture is proposed for an existing 5G network with the aim of enhancing network dynamics and flexibility to support modern network applications. To enable network slicing in a 5G network, we established the virtualisation of the underlying physical 5G infrastructure by utilising technological advancements, such as software-defined networking and network function virtualisation. These virtual networks can fulfil the requirement of multiple use cases as required by creating slices of these virtual networks. Thus, abstracting from the physical resources to create virtual networks and then applying network slicing on these virtual networks enable the 5G network to address the increased demands for high-speed communication. © 2021, The Author(s).
- Authors: Subedi, Prashant , Alsadoon, Abeer , Prasad, Prasad , Rehman, Sabih , Giweli, Nabil , Imran, Muhammad , Arif, Samrah
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Eurasip Journal on Wireless Communications and Networking Vol. 2021, no. 1 (2021), p.
- Full Text:
- Reviewed:
- Description: Fifth-generation (5G) wireless networks are projected to bring a major transformation to the current fourth-generation network to support the billions of devices that will be connected to the Internet. 5G networks will enable new and powerful capabilities to support high-speed data rates, better connectivity and system capacity that are critical in designing applications in virtual reality, augmented reality and mobile online gaming. The infrastructure of a network that can support stringent application requirements needs to be highly dynamic and flexible. Network slicing can provide these dynamic and flexible characteristics to a network architecture. Implementing network slicing in 5G requires domain modification of the preexisting network architecture. A network slicing architecture is proposed for an existing 5G network with the aim of enhancing network dynamics and flexibility to support modern network applications. To enable network slicing in a 5G network, we established the virtualisation of the underlying physical 5G infrastructure by utilising technological advancements, such as software-defined networking and network function virtualisation. These virtual networks can fulfil the requirement of multiple use cases as required by creating slices of these virtual networks. Thus, abstracting from the physical resources to create virtual networks and then applying network slicing on these virtual networks enable the 5G network to address the increased demands for high-speed communication. © 2021, The Author(s).
Noncoding genes on sex chromosomes and their function in sex determination, dosage compensation, male traits, and diseases
- Maier, Michelle, McInerney, Molly-Rose, Graves, Jennifer, Charchar, Fadi
- Authors: Maier, Michelle , McInerney, Molly-Rose , Graves, Jennifer , Charchar, Fadi
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Sexual Development Vol. 15, no. 5-6 (2021), p. 432-440
- Relation: http://purl.org/au-research/grants/nhmrc/1123472
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- Description: The mammalian Y chromosome has evolved in many species into a specialized chromosome that contributes to sex development among other male phenotypes. This function is well studied in terms of protein-coding genes. Less is known about the noncoding genome on the Y chromosome and its contribution to both sex development and other traits. Once considered junk genetic material, noncoding RNAs are now known to contribute to the regulation of gene expression and to play an important role in refining cellular functions. The prime examples are noncoding genes on the X chromosome, which mitigate the differential dosage of genes on sex chromosomes. Here, we discuss the evolution of noncoding RNAs on the Y chromosome and the emerging evidence of how micro, long, and circular noncoding RNAs transcribed from the Y chromosome contribute to sex differentiation. We briefly touch on emerging evidence that these noncoding RNAs also contribute to some other important clinical phenotypes in humans. © 2021 S. Karger AG. All rights reserved.
- Authors: Maier, Michelle , McInerney, Molly-Rose , Graves, Jennifer , Charchar, Fadi
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Sexual Development Vol. 15, no. 5-6 (2021), p. 432-440
- Relation: http://purl.org/au-research/grants/nhmrc/1123472
- Full Text:
- Reviewed:
- Description: The mammalian Y chromosome has evolved in many species into a specialized chromosome that contributes to sex development among other male phenotypes. This function is well studied in terms of protein-coding genes. Less is known about the noncoding genome on the Y chromosome and its contribution to both sex development and other traits. Once considered junk genetic material, noncoding RNAs are now known to contribute to the regulation of gene expression and to play an important role in refining cellular functions. The prime examples are noncoding genes on the X chromosome, which mitigate the differential dosage of genes on sex chromosomes. Here, we discuss the evolution of noncoding RNAs on the Y chromosome and the emerging evidence of how micro, long, and circular noncoding RNAs transcribed from the Y chromosome contribute to sex differentiation. We briefly touch on emerging evidence that these noncoding RNAs also contribute to some other important clinical phenotypes in humans. © 2021 S. Karger AG. All rights reserved.
Nursing education to enhance culturally and linguistically diverse (CALD) community access to mental health services : a scoping review
- Radhamony, Reshmy, Cross, Wendy, Townsin, Louise
- Authors: Radhamony, Reshmy , Cross, Wendy , Townsin, Louise
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Issues in Mental Health Nursing Vol. 42, no. 11 (2021), p. 1048-1063
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- Description: Research has found that training health care professionals can enhance the access of the culturally diverse community to appropriate mental health services. Yet, little research has been conducted that explicitly focuses on improving nursing knowledge, skills, attitudes, and behaviours that can enhance the access of the Culturally and Linguistically Diverse (CALD) community. This scoping review aims to locate, summarise, and recap what is known in the academic literature about educational interventions and programs to improve mental health nurses’ cultural competence. Examining how educational interventions and programs can improve mental health nurses’ knowledge, skills, attitudes, and behaviours to facilitate Culturally and Linguistically Diverse (CALD) community access to mental health services can also identify gaps in knowledge to report future research areas. Fifteen studies included in the review reported a positive effect of cultural competence interventions; however, it was difficult to establish a single effective intervention method due to the significant heterogenicity in cultural competence intervention strategies. Most studies in this scoping review included nurses as participants. However, only one study solely focussed on cultural competence intervention for mental health nurses. Two other studies included mental health nurses as participants, along with other mental health professionals. Henceforth, there is a prerequisite for more research focussing on enhancing mental health nurses’ cultural competency. Additional research is required to evaluate educational interventions’ impact on improving cultural competence attributes on specific practitioner behaviours and the effects on health care and health care outcomes. This review can form a basis for future research studies that will emphasise the impact of cultural competence interventions for mental health nurses. © 2021 Taylor & Francis Group, LLC.
- Authors: Radhamony, Reshmy , Cross, Wendy , Townsin, Louise
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Issues in Mental Health Nursing Vol. 42, no. 11 (2021), p. 1048-1063
- Full Text:
- Reviewed:
- Description: Research has found that training health care professionals can enhance the access of the culturally diverse community to appropriate mental health services. Yet, little research has been conducted that explicitly focuses on improving nursing knowledge, skills, attitudes, and behaviours that can enhance the access of the Culturally and Linguistically Diverse (CALD) community. This scoping review aims to locate, summarise, and recap what is known in the academic literature about educational interventions and programs to improve mental health nurses’ cultural competence. Examining how educational interventions and programs can improve mental health nurses’ knowledge, skills, attitudes, and behaviours to facilitate Culturally and Linguistically Diverse (CALD) community access to mental health services can also identify gaps in knowledge to report future research areas. Fifteen studies included in the review reported a positive effect of cultural competence interventions; however, it was difficult to establish a single effective intervention method due to the significant heterogenicity in cultural competence intervention strategies. Most studies in this scoping review included nurses as participants. However, only one study solely focussed on cultural competence intervention for mental health nurses. Two other studies included mental health nurses as participants, along with other mental health professionals. Henceforth, there is a prerequisite for more research focussing on enhancing mental health nurses’ cultural competency. Additional research is required to evaluate educational interventions’ impact on improving cultural competence attributes on specific practitioner behaviours and the effects on health care and health care outcomes. This review can form a basis for future research studies that will emphasise the impact of cultural competence interventions for mental health nurses. © 2021 Taylor & Francis Group, LLC.
Physical exercise and health-related quality of life in office workers: A systematic review and meta-analysis
- Nguyen, Thi, Nguyen, Huy, Kim, Jin
- Authors: Nguyen, Thi , Nguyen, Huy , Kim, Jin
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 18, no. 7 (2021), p.
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- Description: Office workers are at high risk for many chronic diseases, lowering their health-related quality of life (HRQOL). This systematic review and meta-analysis aimed to summarize the effects of physical exercise on HRQOL in office workers with and without health problems using data obtained from randomized controlled trials (RCTs), quasi-experimental, and observational studies. We searched PubMed, Web of Science, Scopus, Cochrane Library, and several grey literature databases, and identified 26 relevant studies for the synthesis. Overall, physical exercise significantly improved general (standardized mean difference (SMD) = 1.05; 95% confidence interval (CI): 0.66 to 1.44) and mental (SMD = 0.42; 95% CI: 0.19 to 0.66) HRQOL in office workers. Compared with healthy office workers, unhealthy office workers experienced greater improvements in general (unhealthy, SMD = 2.76; 95% CI: 1.63 to 3.89; healthy, SMD = 0.23; 95% CI: −0.09 to 0.56) and physical (unhealthy, SMD = 0.38; 95% CI: 0.17 to 0.58; healthy, SMD = −0.20; 95% CI: −0.51 to 0.11) HRQOL. Unsupervised physical exercise significantly improved general and mental HRQOL, while directly supervised physical exercise significantly improved only general HRQOL. Although physical exercise, especially unsupervised physical exercise, should be encouraged to improve HRQOL in office workers, detailed recommendations could not be made because of the diverse exercise types with different intensities. Therefore, further studies are needed to determine the optimal exercise for office workers with different health conditions. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- Authors: Nguyen, Thi , Nguyen, Huy , Kim, Jin
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 18, no. 7 (2021), p.
- Full Text:
- Reviewed:
- Description: Office workers are at high risk for many chronic diseases, lowering their health-related quality of life (HRQOL). This systematic review and meta-analysis aimed to summarize the effects of physical exercise on HRQOL in office workers with and without health problems using data obtained from randomized controlled trials (RCTs), quasi-experimental, and observational studies. We searched PubMed, Web of Science, Scopus, Cochrane Library, and several grey literature databases, and identified 26 relevant studies for the synthesis. Overall, physical exercise significantly improved general (standardized mean difference (SMD) = 1.05; 95% confidence interval (CI): 0.66 to 1.44) and mental (SMD = 0.42; 95% CI: 0.19 to 0.66) HRQOL in office workers. Compared with healthy office workers, unhealthy office workers experienced greater improvements in general (unhealthy, SMD = 2.76; 95% CI: 1.63 to 3.89; healthy, SMD = 0.23; 95% CI: −0.09 to 0.56) and physical (unhealthy, SMD = 0.38; 95% CI: 0.17 to 0.58; healthy, SMD = −0.20; 95% CI: −0.51 to 0.11) HRQOL. Unsupervised physical exercise significantly improved general and mental HRQOL, while directly supervised physical exercise significantly improved only general HRQOL. Although physical exercise, especially unsupervised physical exercise, should be encouraged to improve HRQOL in office workers, detailed recommendations could not be made because of the diverse exercise types with different intensities. Therefore, further studies are needed to determine the optimal exercise for office workers with different health conditions. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Regulatory resistance? Narratives and uses of evidence around “black market” provision of gambling during the british gambling act review
- Wardle, Heather, Reith, Gerda, Dobbie, Fiona, Rintoul, Angela, Shiffman, Jeremy
- Authors: Wardle, Heather , Reith, Gerda , Dobbie, Fiona , Rintoul, Angela , Shiffman, Jeremy
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 18, no. 21 (2021), p.
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- Description: Commercial gambling is increasingly viewed as being part of the unhealthy commodities industries, in which products contribute to preventable ill-health globally. Britain has one of the world’s most liberal gambling markets, meaning that the regulatory changes there have implications for developments elsewhere. A review of the British Gambling Act 2005 is underway. This has generated a range of actions by the industry, including mobilising arguments around the threat of the “black market”. We critically explore industry’s framing of these issues as part of their strategy to resist regulatory change during the Gambling Act review. We used a predefined review protocol to explore industry narratives about the “black market” in media reports published between 8 December 2020 and 26 May 2021. Fifty-five articles were identified and reviewed, and themes were narratively synthesised to examine industry framing of the “black market”. The black market was framed in terms of economic threat and loss, and a direct connection was made between its growth and increased regulation. The articles mainly presented gambling industry perspectives uncritically, citing industry-generated evidence (n = 40). Industry narratives around the “black market” speak to economically and emotionally salient concerns: fear, safety, consumer freedom and economic growth. This dominant framing in political, mainstream and industry media may influence political and public opinion to support the current status quo: “protecting” the existing regulated market rather than “protecting” people. Debates should be reframed to consider all policy options, especially those designed to protect public health. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- Authors: Wardle, Heather , Reith, Gerda , Dobbie, Fiona , Rintoul, Angela , Shiffman, Jeremy
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 18, no. 21 (2021), p.
- Full Text:
- Reviewed:
- Description: Commercial gambling is increasingly viewed as being part of the unhealthy commodities industries, in which products contribute to preventable ill-health globally. Britain has one of the world’s most liberal gambling markets, meaning that the regulatory changes there have implications for developments elsewhere. A review of the British Gambling Act 2005 is underway. This has generated a range of actions by the industry, including mobilising arguments around the threat of the “black market”. We critically explore industry’s framing of these issues as part of their strategy to resist regulatory change during the Gambling Act review. We used a predefined review protocol to explore industry narratives about the “black market” in media reports published between 8 December 2020 and 26 May 2021. Fifty-five articles were identified and reviewed, and themes were narratively synthesised to examine industry framing of the “black market”. The black market was framed in terms of economic threat and loss, and a direct connection was made between its growth and increased regulation. The articles mainly presented gambling industry perspectives uncritically, citing industry-generated evidence (n = 40). Industry narratives around the “black market” speak to economically and emotionally salient concerns: fear, safety, consumer freedom and economic growth. This dominant framing in political, mainstream and industry media may influence political and public opinion to support the current status quo: “protecting” the existing regulated market rather than “protecting” people. Debates should be reframed to consider all policy options, especially those designed to protect public health. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Secure big data ecosystem architecture : challenges and solutions
- Anwar, Memoona, Gill, Asif, Hussain, Farookh, Imran, Muhammad
- Authors: Anwar, Memoona , Gill, Asif , Hussain, Farookh , Imran, Muhammad
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Eurasip Journal on Wireless Communications and Networking Vol. 2021, no. 1 (2021), p.
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- Description: Big data ecosystems are complex data-intensive, digital–physical systems. Data-intensive ecosystems offer a number of benefits; however, they present challenges as well. One major challenge is related to the privacy and security. A number of privacy and security models, techniques and algorithms have been proposed over a period of time. The limitation is that these solutions are primarily focused on an individual or on an isolated organizational context. There is a need to study and provide complete end-to-end solutions that ensure security and privacy throughout the data lifecycle across the ecosystem beyond the boundary of an individual system or organizational context. The results of current study provide a review of the existing privacy and security challenges and solutions using the systematic literature review (SLR) approach. Based on the SLR approach, 79 applicable articles were selected and analyzed. The information from these articles was extracted to compile a catalogue of security and privacy challenges in big data ecosystems and to highlight their interdependencies. The results were categorized from theoretical viewpoint using adaptive enterprise architecture and practical viewpoint using DAMA framework as guiding lens. The findings of this research will help to identify the research gaps and draw novel research directions in the context of privacy and security in big data-intensive ecosystems. © 2021, The Author(s).
- Authors: Anwar, Memoona , Gill, Asif , Hussain, Farookh , Imran, Muhammad
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Eurasip Journal on Wireless Communications and Networking Vol. 2021, no. 1 (2021), p.
- Full Text:
- Reviewed:
- Description: Big data ecosystems are complex data-intensive, digital–physical systems. Data-intensive ecosystems offer a number of benefits; however, they present challenges as well. One major challenge is related to the privacy and security. A number of privacy and security models, techniques and algorithms have been proposed over a period of time. The limitation is that these solutions are primarily focused on an individual or on an isolated organizational context. There is a need to study and provide complete end-to-end solutions that ensure security and privacy throughout the data lifecycle across the ecosystem beyond the boundary of an individual system or organizational context. The results of current study provide a review of the existing privacy and security challenges and solutions using the systematic literature review (SLR) approach. Based on the SLR approach, 79 applicable articles were selected and analyzed. The information from these articles was extracted to compile a catalogue of security and privacy challenges in big data ecosystems and to highlight their interdependencies. The results were categorized from theoretical viewpoint using adaptive enterprise architecture and practical viewpoint using DAMA framework as guiding lens. The findings of this research will help to identify the research gaps and draw novel research directions in the context of privacy and security in big data-intensive ecosystems. © 2021, The Author(s).
Security and privacy in IoT using machine learning and blockchain : threats and countermeasures
- Waheed, Nazar, He, Xiangjian, Ikram, Muhammad, Usman, Muhammad, Hashmi, Saad
- Authors: Waheed, Nazar , He, Xiangjian , Ikram, Muhammad , Usman, Muhammad , Hashmi, Saad
- Date: 2021
- Type: Text , Journal article , Review
- Relation: ACM Computing Surveys Vol. 53, no. 6 (2021), p.
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- Reviewed:
- Description: Security and privacy of users have become significant concerns due to the involvement of the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at an explosive pace making the existing security and privacy measures inadequate. Hence, everyone on the Internet is a product for hackers. Consequently, Machine Learning (ML) algorithms are used to produce accurate outputs from large complex databases, where the generated outputs can be used to predict and detect vulnerabilities in IoT-based systems. Furthermore, Blockchain (BC) techniques are becoming popular in modern IoT applications to solve security and privacy issues. Several studies have been conducted on either ML algorithms or BC techniques. However, these studies target either security or privacy issues using ML algorithms or BC techniques, thus posing a need for a combined survey on efforts made in recent years addressing both security and privacy issues using ML algorithms and BC techniques. In this article, we provide a summary of research efforts made in the past few years, from 2008 to 2019, addressing security and privacy issues using ML algorithms and BC techniques in the IoT domain. First, we discuss and categorize various security and privacy threats reported in the past 12 years in the IoT domain. We then classify the literature on security and privacy efforts based on ML algorithms and BC techniques in the IoT domain. Finally, we identify and illuminate several challenges and future research directions using ML algorithms and BC techniques to address security and privacy issues in the IoT domain. © 2020 ACM.
- Authors: Waheed, Nazar , He, Xiangjian , Ikram, Muhammad , Usman, Muhammad , Hashmi, Saad
- Date: 2021
- Type: Text , Journal article , Review
- Relation: ACM Computing Surveys Vol. 53, no. 6 (2021), p.
- Full Text:
- Reviewed:
- Description: Security and privacy of users have become significant concerns due to the involvement of the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at an explosive pace making the existing security and privacy measures inadequate. Hence, everyone on the Internet is a product for hackers. Consequently, Machine Learning (ML) algorithms are used to produce accurate outputs from large complex databases, where the generated outputs can be used to predict and detect vulnerabilities in IoT-based systems. Furthermore, Blockchain (BC) techniques are becoming popular in modern IoT applications to solve security and privacy issues. Several studies have been conducted on either ML algorithms or BC techniques. However, these studies target either security or privacy issues using ML algorithms or BC techniques, thus posing a need for a combined survey on efforts made in recent years addressing both security and privacy issues using ML algorithms and BC techniques. In this article, we provide a summary of research efforts made in the past few years, from 2008 to 2019, addressing security and privacy issues using ML algorithms and BC techniques in the IoT domain. First, we discuss and categorize various security and privacy threats reported in the past 12 years in the IoT domain. We then classify the literature on security and privacy efforts based on ML algorithms and BC techniques in the IoT domain. Finally, we identify and illuminate several challenges and future research directions using ML algorithms and BC techniques to address security and privacy issues in the IoT domain. © 2020 ACM.
Strongyloides genotyping: a review of methods and application in public health and population genetics
- Bradbury, Richard, Pafčo, Barbora, Nosková, Eva, Hasegawa, Hideo
- Authors: Bradbury, Richard , Pafčo, Barbora , Nosková, Eva , Hasegawa, Hideo
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal for Parasitology Vol. 51, no. 13-14 (2021), p. 1153-1166
- Full Text:
- Reviewed:
- Description: Strongyloidiasis represents a major medical and veterinary helminthic disease. Human infection is caused by Strongyloides stercoralis, Strongyloides fuelleborni fuelleborni and Strongyloides fuelleborni kellyi, with S. stercoralis accounting for the majority of cases. Strongyloides f. fuelleborni likely represents a zoonosis acquired from non-human primates (NHPs), while no animal reservoir for S. f. kellyi infection has been found. Whether S. stercoralis represents a zoonosis acquired from dogs and cats remains unanswered. Over the past two decades various tools have been applied to genotype Strongyloides spp. The most commonly sequenced markers have been the hyper-variable regions I and IV of the 18S rRNA gene and selected portions of the cytochrome c oxidase subunit I gene. These markers have been sequenced and compared in Strongyloides from multiple hosts and geographical regions. More recently, a machine learning algorithm multi-locus sequence typing approach has been applied using these markers, while others have applied whole genome sequencing. Genotyping of Strongyloides from dogs, cats, NHPs and humans has identified that S. stercoralis likely originated in dogs and adapted to human hosts. It has also been demonstrated that S. stercoralis is distinct from S. f. fuelleborni and S. f. kellyi. Two distinct genetic clades of S. stercoralis exist, one restricted to dogs and another infecting humans, NHPs, dogs and cats. Genotyping of S. f. fuelleborni has identified two separate clades, one associated with African isolates and another Indochinese peninsular clade. This review summarises the history and development of genotyping tools for Strongyloides spp. It describes the findings of major studies to date in the context of the epidemiology and evolutionary biology of these helminths, with a specific focus on human-infecting species. © 2021 Australian Society for Parasitology
- Authors: Bradbury, Richard , Pafčo, Barbora , Nosková, Eva , Hasegawa, Hideo
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal for Parasitology Vol. 51, no. 13-14 (2021), p. 1153-1166
- Full Text:
- Reviewed:
- Description: Strongyloidiasis represents a major medical and veterinary helminthic disease. Human infection is caused by Strongyloides stercoralis, Strongyloides fuelleborni fuelleborni and Strongyloides fuelleborni kellyi, with S. stercoralis accounting for the majority of cases. Strongyloides f. fuelleborni likely represents a zoonosis acquired from non-human primates (NHPs), while no animal reservoir for S. f. kellyi infection has been found. Whether S. stercoralis represents a zoonosis acquired from dogs and cats remains unanswered. Over the past two decades various tools have been applied to genotype Strongyloides spp. The most commonly sequenced markers have been the hyper-variable regions I and IV of the 18S rRNA gene and selected portions of the cytochrome c oxidase subunit I gene. These markers have been sequenced and compared in Strongyloides from multiple hosts and geographical regions. More recently, a machine learning algorithm multi-locus sequence typing approach has been applied using these markers, while others have applied whole genome sequencing. Genotyping of Strongyloides from dogs, cats, NHPs and humans has identified that S. stercoralis likely originated in dogs and adapted to human hosts. It has also been demonstrated that S. stercoralis is distinct from S. f. fuelleborni and S. f. kellyi. Two distinct genetic clades of S. stercoralis exist, one restricted to dogs and another infecting humans, NHPs, dogs and cats. Genotyping of S. f. fuelleborni has identified two separate clades, one associated with African isolates and another Indochinese peninsular clade. This review summarises the history and development of genotyping tools for Strongyloides spp. It describes the findings of major studies to date in the context of the epidemiology and evolutionary biology of these helminths, with a specific focus on human-infecting species. © 2021 Australian Society for Parasitology
The attributes of plakins in cancer and disease: perspectives on ovarian cancer progression, chemoresistance and recurrence
- Wesley, Tamsin, Berzins, Stuart, Kannourakis, George, Ahmed, Nuzhat
- Authors: Wesley, Tamsin , Berzins, Stuart , Kannourakis, George , Ahmed, Nuzhat
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Cell Communication and Signaling Vol. 19, no. 1 (2021), p.
- Full Text:
- Reviewed:
- Description: The plakin family of cytoskeletal proteins play an important role in cancer progression yet are under-studied in cancer, especially ovarian cancer. These large cytoskeletal proteins have primary roles in the maintenance of cytoskeletal integrity but are also associated with scaffolds of intermediate filaments and hemidesmosomal adhesion complexes mediating signalling pathways that regulate cellular growth, migration, invasion and differentiation as well as stress response. Abnormalities of plakins, and the closely related spectraplakins, result in diseases of the skin, striated muscle and nervous tissue. Their prevalence in epithelial cells suggests that plakins may play a role in epithelial ovarian cancer progression and recurrence. In this review article, we explore the roles of plakins, particularly plectin, periplakin and envoplakin in disease-states and cancers with emphasis on ovarian cancer. We discuss the potential role the plakin family of proteins play in regulating cancer cell growth, survival, migration, invasion and drug resistance. We highlight potential relationships between plakins, epithelial-mesenchymal transition (EMT) and cancer stem cells (CSCs) and discuss how interaction of these processes may affect ovarian cancer progression, chemoresistance and ultimately recurrence. We propose that molecular changes in the expression of plakins leads to the transition of benign ovarian tumours to carcinomas, as well as floating cellular aggregates (commonly known as spheroids) in the ascites microenvironment, which may contribute to the sustenance and progression of the disease. In this review, attempts have been made to understand the crucial changes in plakin expression in relation to progression and recurrence of ovarian cancer. [MediaObject not available: see fulltext.] © 2021, The Author(s).
- Authors: Wesley, Tamsin , Berzins, Stuart , Kannourakis, George , Ahmed, Nuzhat
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Cell Communication and Signaling Vol. 19, no. 1 (2021), p.
- Full Text:
- Reviewed:
- Description: The plakin family of cytoskeletal proteins play an important role in cancer progression yet are under-studied in cancer, especially ovarian cancer. These large cytoskeletal proteins have primary roles in the maintenance of cytoskeletal integrity but are also associated with scaffolds of intermediate filaments and hemidesmosomal adhesion complexes mediating signalling pathways that regulate cellular growth, migration, invasion and differentiation as well as stress response. Abnormalities of plakins, and the closely related spectraplakins, result in diseases of the skin, striated muscle and nervous tissue. Their prevalence in epithelial cells suggests that plakins may play a role in epithelial ovarian cancer progression and recurrence. In this review article, we explore the roles of plakins, particularly plectin, periplakin and envoplakin in disease-states and cancers with emphasis on ovarian cancer. We discuss the potential role the plakin family of proteins play in regulating cancer cell growth, survival, migration, invasion and drug resistance. We highlight potential relationships between plakins, epithelial-mesenchymal transition (EMT) and cancer stem cells (CSCs) and discuss how interaction of these processes may affect ovarian cancer progression, chemoresistance and ultimately recurrence. We propose that molecular changes in the expression of plakins leads to the transition of benign ovarian tumours to carcinomas, as well as floating cellular aggregates (commonly known as spheroids) in the ascites microenvironment, which may contribute to the sustenance and progression of the disease. In this review, attempts have been made to understand the crucial changes in plakin expression in relation to progression and recurrence of ovarian cancer. [MediaObject not available: see fulltext.] © 2021, The Author(s).
The Australian digital online farm trials database increases the quality of systematic reviews and meta-analyses in grains crop research
- Authors: Walters, Judi , Light, Kate
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Crop and Pasture Science Vol. 72, no. 10 (2021), p. 789-800
- Full Text:
- Reviewed:
- Description: Synthesis and analysis of past cropping research can provide valuable information to direct future decisions around crop management. Systematic reviews and meta-analyses are considered gold standards in the synthesis and analysis of scientific research because they distil large amounts of information about complex issues, provide a summary of knowledge to date, and identify knowledge gaps. However, several issues concerning the methodologies employed to conduct systematic reviews have been identified; among them is the risk of publication bias when a review relies too heavily on 'white' literature from published academic sources and in so doing fails identify relevant 'grey' literature. Grey literature is inherently difficult to identify and collect, but forms a large portion of information available in many fields including agricultural-based research within Australia. The Online Farm Trials (OFT) database is a digital database of crop research field trial data from across Australia that has the potential for use as a discipline-specific source of grey literature to inform systematic reviews and meta-analyses. Using a case study approach to investigate the amount of information available on time of sowing (sowing date) on crop yield across Australia, we demonstrate that the OFT database provides easy access to transparent and reproducible search results similar to other commonly used academic databases. © 2021 Journal Compilation
- Authors: Walters, Judi , Light, Kate
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Crop and Pasture Science Vol. 72, no. 10 (2021), p. 789-800
- Full Text:
- Reviewed:
- Description: Synthesis and analysis of past cropping research can provide valuable information to direct future decisions around crop management. Systematic reviews and meta-analyses are considered gold standards in the synthesis and analysis of scientific research because they distil large amounts of information about complex issues, provide a summary of knowledge to date, and identify knowledge gaps. However, several issues concerning the methodologies employed to conduct systematic reviews have been identified; among them is the risk of publication bias when a review relies too heavily on 'white' literature from published academic sources and in so doing fails identify relevant 'grey' literature. Grey literature is inherently difficult to identify and collect, but forms a large portion of information available in many fields including agricultural-based research within Australia. The Online Farm Trials (OFT) database is a digital database of crop research field trial data from across Australia that has the potential for use as a discipline-specific source of grey literature to inform systematic reviews and meta-analyses. Using a case study approach to investigate the amount of information available on time of sowing (sowing date) on crop yield across Australia, we demonstrate that the OFT database provides easy access to transparent and reproducible search results similar to other commonly used academic databases. © 2021 Journal Compilation
The effectiveness of the role of advanced nurse practitioners compared to physician-led or usual care : a systematic review
- Htay, Maung, Whitehead, Dean
- Authors: Htay, Maung , Whitehead, Dean
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal of Nursing Studies Advances Vol. 3, no. (2021), p.
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- Description: Aim: To evaluate the effectiveness of the role of advanced nurse practitioners compared to physicians-led/ usual care (care managed by medical doctors or non-advanced nurse practitioners) Background: Advanced nurse practitioners contribute to the improvement of quality patient care and have substantial potential to optimise the health of people globally. Since the formal recognition of advanced nurse practitioners by the International Council of Nurses, among others, the role has been adopted across most departments and clinical specialties, particularly in high-income countries. Design: Systematic review of primary research evidence Data Source: MEDLINE, EMBASE, CINAHL, Cochrane registry, Cochrane trials, and Cochrane EPOC (PDQ Evidence) were searched for randomised controlled trials (RCTs) of patient care and health resource utilisation outcomes associated with advanced nurse practitioners. Review Methods: The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. The chosen articles were restricted to full-text English language trials published in the last 20 years, incorporating comparators of usual care. Search terms were limited to variations of advanced nurse practitioner role and practice. The eligible studies were bias risk assessed and quality assessed using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE). Clinical and service outcomes were analysed using narrative synthesis as the marked heterogeneity between studies precluded meta-analysis. Results: Thirteen RCTs were reviewed. All of them were conducted across high-income countries within primary care and hospital settings involving paediatric and adult patients. Five trials were assessed as high quality, and eight were of low to moderate quality. Positive effects were demonstrated for the impact of advanced nurse practitioners on usual care; for indigestion, mean difference [MD] 2.3: 95% CI 1.4, 3.1]), perceptions of health status [ (MD –140.6; 95% CI –184.8, –96.5)], satisfaction levels [ (MD ranged from –8.79; 95% CI –13.59, –3.98 to 0.61; 95% CI –4.84, 6.05)], physical function (1.58 [SD 0.76] v. 1.81 [SD 0.90]), and blood pressure control (systolic [133 [SD 21] v. 135 [SD 19] mmHg p = 0.04] and diastolic [77 [SD 10] v. 80 [SD 11] mmHg p = 0.007]) were looked at. Positive effects related to service provision included improved patient satisfaction and reductions in waiting times and costs, which significantly favored advanced nurse practitioners (all p < 0.05). Conclusion: The evidence of this review supports the positive impact of advanced nurse practitioners on clinical and service-related outcomes: patient satisfaction, waiting times, control of chronic disease, and cost-effectiveness especially when directly compared to medical practitioner-led care and usual care practices - in primary, secondary and specialist care settings involving both adult and pediatric populations. © 2021
- Authors: Htay, Maung , Whitehead, Dean
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal of Nursing Studies Advances Vol. 3, no. (2021), p.
- Full Text:
- Reviewed:
- Description: Aim: To evaluate the effectiveness of the role of advanced nurse practitioners compared to physicians-led/ usual care (care managed by medical doctors or non-advanced nurse practitioners) Background: Advanced nurse practitioners contribute to the improvement of quality patient care and have substantial potential to optimise the health of people globally. Since the formal recognition of advanced nurse practitioners by the International Council of Nurses, among others, the role has been adopted across most departments and clinical specialties, particularly in high-income countries. Design: Systematic review of primary research evidence Data Source: MEDLINE, EMBASE, CINAHL, Cochrane registry, Cochrane trials, and Cochrane EPOC (PDQ Evidence) were searched for randomised controlled trials (RCTs) of patient care and health resource utilisation outcomes associated with advanced nurse practitioners. Review Methods: The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. The chosen articles were restricted to full-text English language trials published in the last 20 years, incorporating comparators of usual care. Search terms were limited to variations of advanced nurse practitioner role and practice. The eligible studies were bias risk assessed and quality assessed using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE). Clinical and service outcomes were analysed using narrative synthesis as the marked heterogeneity between studies precluded meta-analysis. Results: Thirteen RCTs were reviewed. All of them were conducted across high-income countries within primary care and hospital settings involving paediatric and adult patients. Five trials were assessed as high quality, and eight were of low to moderate quality. Positive effects were demonstrated for the impact of advanced nurse practitioners on usual care; for indigestion, mean difference [MD] 2.3: 95% CI 1.4, 3.1]), perceptions of health status [ (MD –140.6; 95% CI –184.8, –96.5)], satisfaction levels [ (MD ranged from –8.79; 95% CI –13.59, –3.98 to 0.61; 95% CI –4.84, 6.05)], physical function (1.58 [SD 0.76] v. 1.81 [SD 0.90]), and blood pressure control (systolic [133 [SD 21] v. 135 [SD 19] mmHg p = 0.04] and diastolic [77 [SD 10] v. 80 [SD 11] mmHg p = 0.007]) were looked at. Positive effects related to service provision included improved patient satisfaction and reductions in waiting times and costs, which significantly favored advanced nurse practitioners (all p < 0.05). Conclusion: The evidence of this review supports the positive impact of advanced nurse practitioners on clinical and service-related outcomes: patient satisfaction, waiting times, control of chronic disease, and cost-effectiveness especially when directly compared to medical practitioner-led care and usual care practices - in primary, secondary and specialist care settings involving both adult and pediatric populations. © 2021
Using digital health technologies to manage the psychosocial symptoms of menopause in the workplace : a narrative literature review
- Cronin, Camille, Hungerford, Catherine, Wilson, Rhonda
- Authors: Cronin, Camille , Hungerford, Catherine , Wilson, Rhonda
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Issues in Mental Health Nursing Vol. 42, no. 6 (2021), p. 541-548
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- Description: Many women experience vasomotor, psychosocial, physical and sexual symptoms during their menopausal life-stage. Specifically, the psychosocial symptoms of menopause can include loss of confidence, issues with self-identity and body image, inattention and loss of memory, increased levels of stress, and a higher risk of developing anxiety and depression. In the workplace, such symptoms can impact the woman’s capacity to perform to her optimal levels. Even so, many women do not seek help to manage their symptoms due to feelings of embarrassment, the possibility of experiencing adverse reactions from others, or the cultural taboos that are attached to the condition. Digital health technologies, including virtual consultations, therapeutic interventions, and participation in online communities of support, provide an important means by which women can obtain information about menopause. In the field of mental health, digital technologies have an increasing evidence base. This paper considers how mental health practitioners can adapt, utilise or recommend digital health strategies to support older women in occupational settings to manage their psychosocial symptoms of menopause. © 2020 Taylor & Francis Group, LLC.
- Authors: Cronin, Camille , Hungerford, Catherine , Wilson, Rhonda
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Issues in Mental Health Nursing Vol. 42, no. 6 (2021), p. 541-548
- Full Text:
- Reviewed:
- Description: Many women experience vasomotor, psychosocial, physical and sexual symptoms during their menopausal life-stage. Specifically, the psychosocial symptoms of menopause can include loss of confidence, issues with self-identity and body image, inattention and loss of memory, increased levels of stress, and a higher risk of developing anxiety and depression. In the workplace, such symptoms can impact the woman’s capacity to perform to her optimal levels. Even so, many women do not seek help to manage their symptoms due to feelings of embarrassment, the possibility of experiencing adverse reactions from others, or the cultural taboos that are attached to the condition. Digital health technologies, including virtual consultations, therapeutic interventions, and participation in online communities of support, provide an important means by which women can obtain information about menopause. In the field of mental health, digital technologies have an increasing evidence base. This paper considers how mental health practitioners can adapt, utilise or recommend digital health strategies to support older women in occupational settings to manage their psychosocial symptoms of menopause. © 2020 Taylor & Francis Group, LLC.
Vietnam’s healthcare system decentralization : how well does it respond to global health crises such as COVID-19 pandemic?
- Nguyen, Huy, Debattista, Joseph, Pham, Minh, Dao, An, Gilmour, Stuart
- Authors: Nguyen, Huy , Debattista, Joseph , Pham, Minh , Dao, An , Gilmour, Stuart
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Asia Pacific Journal of Health Management Vol. 16, no. 1 (2021), p.
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- Description: This article discussed Vietnam’s ongoing efforts to decentralize the health system and its fitness to respond to global health crises as presented through the Covid-19 pandemic. We used a general review and expert’s perspective to explore the topic. We found that the healthcare system in Vietnam continued to decentralize from a pyramid to a wheel model. This system shifts away from a stratified technical hierarchy of higher- and lower-level health units (pyramid model) to a system in which quality healthcare is equally expected among all health units (wheel model). This decentralization has delivered more quality healthcare facilities, greater freedom for patients to choose services at any level, a more competitive environment among hospitals to improve quality, and reductions in excess capacity burden at higher levels. It has also enabled the transformation from a patient-based traditional healthcare model into a patient-centered care system. However, this decentralization takes time and requires long-term political, financial commitment, and a working partnership among key stakeholders. This perspective provides Vietnam’s experience of the decentralization of the healthcare system that may be consider as a useful example for other countries to strategically think of and to shape their future system within their own socio-political context. Copyright © 2020 Via Medica
- Authors: Nguyen, Huy , Debattista, Joseph , Pham, Minh , Dao, An , Gilmour, Stuart
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Asia Pacific Journal of Health Management Vol. 16, no. 1 (2021), p.
- Full Text:
- Reviewed:
- Description: This article discussed Vietnam’s ongoing efforts to decentralize the health system and its fitness to respond to global health crises as presented through the Covid-19 pandemic. We used a general review and expert’s perspective to explore the topic. We found that the healthcare system in Vietnam continued to decentralize from a pyramid to a wheel model. This system shifts away from a stratified technical hierarchy of higher- and lower-level health units (pyramid model) to a system in which quality healthcare is equally expected among all health units (wheel model). This decentralization has delivered more quality healthcare facilities, greater freedom for patients to choose services at any level, a more competitive environment among hospitals to improve quality, and reductions in excess capacity burden at higher levels. It has also enabled the transformation from a patient-based traditional healthcare model into a patient-centered care system. However, this decentralization takes time and requires long-term political, financial commitment, and a working partnership among key stakeholders. This perspective provides Vietnam’s experience of the decentralization of the healthcare system that may be consider as a useful example for other countries to strategically think of and to shape their future system within their own socio-political context. Copyright © 2020 Via Medica
What helps, what hinders? Undergraduate nursing students’ perceptions of clinical placements based on a thematic synthesis of literature
- Cant, Robyn, Ryan, Colleen, Hughes, Lynda, Luders, Elise, Cooper, Simon J.
- Authors: Cant, Robyn , Ryan, Colleen , Hughes, Lynda , Luders, Elise , Cooper, Simon J.
- Date: 2021
- Type: Text , Journal article , Review
- Relation: SAGE Open Nursing Vol. 7, no. (2021), p.
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- Description: Introduction: Clinical placements are a mandatory component of nursing students’ education internationally. Despite clinical education being a key to nursing students’ achievement of nursing competencies, few studies have reviewed students’ narratives to describe their experiences of learning during clinical placement. Such studies may be important in offering a deeper insight into clinical learning experiences than quantitative surveys. Methods: A systematic thematic synthesis of qualitative studies between 2010 and June 2020 was conducted. English language studies that offered a thematic analysis of undergraduate nursing students’ experiences of learning during placement were sought. A search was made of five databases PubMed, Ovid Medline, CinahlPlus, SCOPUS, and Google Scholar. The study was guided by the ENTREQ statement for enhancing transparency in reporting the synthesis of qualitative research. Results: Twenty-seven qualitative studies were included in the review. A thematic synthesis showed over 100 themes and subthemes across the studies. A cluster analysis revealed positive elements and others that were seen in the studies as a barrier (hindrance) to clinical learning. Positive elements included supportive instructors, close supervision, and belonging (in the team). Unsupportive instructors, a lack of supervision and not being included were seen as a hindrance. Three key overarching themes that could describe a successful placement were revealed as “Preparation,” “Welcomed and wanted” and “Supervision experiences”. A conceptual model of clinical placement elements conducive to nursing students’ learning was developed to enhance understanding of the complexities associated with supervision. The findings and model are presented and discussed. Conclusion: The conceptual model presents positive elements that influence students’ clinical placement experiences of learning. This model may provide a framework to guide professional development programs and strategies to support students and supervisors alike, an important step forward in moving beyond the current clinical placement rhetoric. © The Author(s) 2021.
- Authors: Cant, Robyn , Ryan, Colleen , Hughes, Lynda , Luders, Elise , Cooper, Simon J.
- Date: 2021
- Type: Text , Journal article , Review
- Relation: SAGE Open Nursing Vol. 7, no. (2021), p.
- Full Text:
- Reviewed:
- Description: Introduction: Clinical placements are a mandatory component of nursing students’ education internationally. Despite clinical education being a key to nursing students’ achievement of nursing competencies, few studies have reviewed students’ narratives to describe their experiences of learning during clinical placement. Such studies may be important in offering a deeper insight into clinical learning experiences than quantitative surveys. Methods: A systematic thematic synthesis of qualitative studies between 2010 and June 2020 was conducted. English language studies that offered a thematic analysis of undergraduate nursing students’ experiences of learning during placement were sought. A search was made of five databases PubMed, Ovid Medline, CinahlPlus, SCOPUS, and Google Scholar. The study was guided by the ENTREQ statement for enhancing transparency in reporting the synthesis of qualitative research. Results: Twenty-seven qualitative studies were included in the review. A thematic synthesis showed over 100 themes and subthemes across the studies. A cluster analysis revealed positive elements and others that were seen in the studies as a barrier (hindrance) to clinical learning. Positive elements included supportive instructors, close supervision, and belonging (in the team). Unsupportive instructors, a lack of supervision and not being included were seen as a hindrance. Three key overarching themes that could describe a successful placement were revealed as “Preparation,” “Welcomed and wanted” and “Supervision experiences”. A conceptual model of clinical placement elements conducive to nursing students’ learning was developed to enhance understanding of the complexities associated with supervision. The findings and model are presented and discussed. Conclusion: The conceptual model presents positive elements that influence students’ clinical placement experiences of learning. This model may provide a framework to guide professional development programs and strategies to support students and supervisors alike, an important step forward in moving beyond the current clinical placement rhetoric. © The Author(s) 2021.
‘High trust’ and ‘low trust’ workplace settings : implications for our mental health and wellbeing
- Hungerford, Catherine, Cleary, Michelle
- Authors: Hungerford, Catherine , Cleary, Michelle
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Issues in Mental Health Nursing Vol. 42, no. 5 (2021), p. 506-514
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- Authors: Hungerford, Catherine , Cleary, Michelle
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Issues in Mental Health Nursing Vol. 42, no. 5 (2021), p. 506-514
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A guide to the short, long and circular RNAs in hypertension and cardiovascular disease
- Prestes, Priscilla, Maier, Michelle, Woods, Bradley, Charchar, Fadi
- Authors: Prestes, Priscilla , Maier, Michelle , Woods, Bradley , Charchar, Fadi
- Date: 2020
- Type: Text , Journal article , Review
- Relation: International Journal of Molecular Sciences Vol. 21, no. 10 (2020)
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- Description: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in adults in developed countries. CVD encompasses many diseased states, including hypertension, coronary artery disease and atherosclerosis. Studies in animal models and human studies have elucidated the contribution of many genetic factors, including non-coding RNAs. Non-coding RNAs are RNAs not translated into protein, involved in gene expression regulation post-transcriptionally and implicated in CVD. Of these, circular RNAs (circRNAs) and microRNAs are relevant. CircRNAs are created by the back-splicing of pre-messenger RNA and have been underexplored as contributors to CVD. These circRNAs may also act as biomarkers of human disease, as they can be extracted from whole blood, plasma, saliva and seminal fluid. CircRNAs have recently been implicated in various disease processes, including hypertension and other cardiovascular disease. This review article will explore the promising and emerging roles of circRNAs as potential biomarkers and therapeutic targets in CVD, in particular hypertension. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
- Authors: Prestes, Priscilla , Maier, Michelle , Woods, Bradley , Charchar, Fadi
- Date: 2020
- Type: Text , Journal article , Review
- Relation: International Journal of Molecular Sciences Vol. 21, no. 10 (2020)
- Full Text:
- Reviewed:
- Description: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in adults in developed countries. CVD encompasses many diseased states, including hypertension, coronary artery disease and atherosclerosis. Studies in animal models and human studies have elucidated the contribution of many genetic factors, including non-coding RNAs. Non-coding RNAs are RNAs not translated into protein, involved in gene expression regulation post-transcriptionally and implicated in CVD. Of these, circular RNAs (circRNAs) and microRNAs are relevant. CircRNAs are created by the back-splicing of pre-messenger RNA and have been underexplored as contributors to CVD. These circRNAs may also act as biomarkers of human disease, as they can be extracted from whole blood, plasma, saliva and seminal fluid. CircRNAs have recently been implicated in various disease processes, including hypertension and other cardiovascular disease. This review article will explore the promising and emerging roles of circRNAs as potential biomarkers and therapeutic targets in CVD, in particular hypertension. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
A role for MAIT cells in colorectal cancer
- Berzins, Stuart, Wallace, Morgan, Kannourakis, George, Kelly, Jason
- Authors: Berzins, Stuart , Wallace, Morgan , Kannourakis, George , Kelly, Jason
- Date: 2020
- Type: Text , Journal article , Review
- Relation: Frontiers in Immunology Vol. 11, no. (2020), p.
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- Description: MAIT cells are MR1-restricted T cells that are well-known for their anti-microbial properties, but they have recently been associated with different forms of cancer. Several studies have reported activated MAIT cells within the microenvironment of colorectal tumors, but there is conjecture about the nature of their response and whether they are contributing to anti-tumor immunity, or to the progression of the disease. We have reviewed the current state of knowledge about the role of MAIT cells in colorectal cancer, including their likely influence when activated and potential sources of stimulation in the tumor microenvironment. The prospects for MAIT cells being used in clinical settings as biomarkers or as targets of new immunotherapies designed to harness their function are discussed. © Copyright © 2020 Berzins, Wallace, Kannourakis and Kelly.
- Authors: Berzins, Stuart , Wallace, Morgan , Kannourakis, George , Kelly, Jason
- Date: 2020
- Type: Text , Journal article , Review
- Relation: Frontiers in Immunology Vol. 11, no. (2020), p.
- Full Text:
- Reviewed:
- Description: MAIT cells are MR1-restricted T cells that are well-known for their anti-microbial properties, but they have recently been associated with different forms of cancer. Several studies have reported activated MAIT cells within the microenvironment of colorectal tumors, but there is conjecture about the nature of their response and whether they are contributing to anti-tumor immunity, or to the progression of the disease. We have reviewed the current state of knowledge about the role of MAIT cells in colorectal cancer, including their likely influence when activated and potential sources of stimulation in the tumor microenvironment. The prospects for MAIT cells being used in clinical settings as biomarkers or as targets of new immunotherapies designed to harness their function are discussed. © Copyright © 2020 Berzins, Wallace, Kannourakis and Kelly.
Attacks on self-driving cars and their countermeasures : a survey
- Chowdhury, Abdullahi, Karmakar, Gour, Kamruzzaman, Joarder, Jolfaei, Alireza, Das, Rajkumar
- Authors: Chowdhury, Abdullahi , Karmakar, Gour , Kamruzzaman, Joarder , Jolfaei, Alireza , Das, Rajkumar
- Date: 2020
- Type: Text , Journal article , Review
- Relation: IEEE Access Vol. 8, no. (2020), p. 207308-207342
- Full Text:
- Reviewed:
- Description: Intelligent Traffic Systems (ITS) are currently evolving in the form of a cooperative ITS or connected vehicles. Both forms use the data communications between Vehicle-To-Vehicle (V2V), Vehicle-To-Infrastructure (V2I/I2V) and other on-road entities, and are accelerating the adoption of self-driving cars. The development of cyber-physical systems containing advanced sensors, sub-systems, and smart driving assistance applications over the past decade is equipping unmanned aerial and road vehicles with autonomous decision-making capabilities. The level of autonomy depends upon the make-up and degree of sensor sophistication and the vehicle's operational applications. As a result, self-driving cars are being compromised perceived as a serious threat. Therefore, analyzing the threats and attacks on self-driving cars and ITSs, and their corresponding countermeasures to reduce those threats and attacks are needed. For this reason, some survey papers compiling potential attacks on VANETs, ITSs and self-driving cars, and their detection mechanisms are available in the current literature. However, up to our knowledge, they have not covered the real attacks already happened in self-driving cars. To bridge this research gap, in this paper, we analyze the attacks that already targeted self-driving cars and extensively present potential cyber-Attacks and their impacts on those cars along with their vulnerabilities. For recently reported attacks, we describe the possible mitigation strategies taken by the manufacturers and governments. This survey includes recent works on how a self-driving car can ensure resilient operation even under ongoing cyber-Attack. We also provide further research directions to improve the security issues associated with self-driving cars. © 2013 IEEE.
- Authors: Chowdhury, Abdullahi , Karmakar, Gour , Kamruzzaman, Joarder , Jolfaei, Alireza , Das, Rajkumar
- Date: 2020
- Type: Text , Journal article , Review
- Relation: IEEE Access Vol. 8, no. (2020), p. 207308-207342
- Full Text:
- Reviewed:
- Description: Intelligent Traffic Systems (ITS) are currently evolving in the form of a cooperative ITS or connected vehicles. Both forms use the data communications between Vehicle-To-Vehicle (V2V), Vehicle-To-Infrastructure (V2I/I2V) and other on-road entities, and are accelerating the adoption of self-driving cars. The development of cyber-physical systems containing advanced sensors, sub-systems, and smart driving assistance applications over the past decade is equipping unmanned aerial and road vehicles with autonomous decision-making capabilities. The level of autonomy depends upon the make-up and degree of sensor sophistication and the vehicle's operational applications. As a result, self-driving cars are being compromised perceived as a serious threat. Therefore, analyzing the threats and attacks on self-driving cars and ITSs, and their corresponding countermeasures to reduce those threats and attacks are needed. For this reason, some survey papers compiling potential attacks on VANETs, ITSs and self-driving cars, and their detection mechanisms are available in the current literature. However, up to our knowledge, they have not covered the real attacks already happened in self-driving cars. To bridge this research gap, in this paper, we analyze the attacks that already targeted self-driving cars and extensively present potential cyber-Attacks and their impacts on those cars along with their vulnerabilities. For recently reported attacks, we describe the possible mitigation strategies taken by the manufacturers and governments. This survey includes recent works on how a self-driving car can ensure resilient operation even under ongoing cyber-Attack. We also provide further research directions to improve the security issues associated with self-driving cars. © 2013 IEEE.
Big networks : a survey
- Bedru, Hayat, Yu, Shuo, Xiao, Xinru, Zhang, Da, Xia, Feng
- Authors: Bedru, Hayat , Yu, Shuo , Xiao, Xinru , Zhang, Da , Xia, Feng
- Date: 2020
- Type: Text , Journal article , Review
- Relation: Computer Science Review Vol. 37, no. (2020), p.
- Full Text:
- Reviewed:
- Description: A network is a typical expressive form of representing complex systems in terms of vertices and links, in which the pattern of interactions amongst components of the network is intricate. The network can be static that does not change over time or dynamic that evolves through time. The complication of network analysis is different under the new circumstance of network size explosive increasing. In this paper, we introduce a new network science concept called a big network. A big networks is generally in large-scale with a complicated and higher-order inner structure. This paper proposes a guideline framework that gives an insight into the major topics in the area of network science from the viewpoint of a big network. We first introduce the structural characteristics of big networks from three levels, which are micro-level, meso-level, and macro-level. We then discuss some state-of-the-art advanced topics of big network analysis. Big network models and related approaches, including ranking methods, partition approaches, as well as network embedding algorithms are systematically introduced. Some typical applications in big networks are then reviewed, such as community detection, link prediction, recommendation, etc. Moreover, we also pinpoint some critical open issues that need to be investigated further. © 2020 Elsevier Inc.
- Authors: Bedru, Hayat , Yu, Shuo , Xiao, Xinru , Zhang, Da , Xia, Feng
- Date: 2020
- Type: Text , Journal article , Review
- Relation: Computer Science Review Vol. 37, no. (2020), p.
- Full Text:
- Reviewed:
- Description: A network is a typical expressive form of representing complex systems in terms of vertices and links, in which the pattern of interactions amongst components of the network is intricate. The network can be static that does not change over time or dynamic that evolves through time. The complication of network analysis is different under the new circumstance of network size explosive increasing. In this paper, we introduce a new network science concept called a big network. A big networks is generally in large-scale with a complicated and higher-order inner structure. This paper proposes a guideline framework that gives an insight into the major topics in the area of network science from the viewpoint of a big network. We first introduce the structural characteristics of big networks from three levels, which are micro-level, meso-level, and macro-level. We then discuss some state-of-the-art advanced topics of big network analysis. Big network models and related approaches, including ranking methods, partition approaches, as well as network embedding algorithms are systematically introduced. Some typical applications in big networks are then reviewed, such as community detection, link prediction, recommendation, etc. Moreover, we also pinpoint some critical open issues that need to be investigated further. © 2020 Elsevier Inc.
Blending big data analytics : review on challenges and a recent study
- Amalina, Fairuz, Targio Hashem, Ibrahim, Azizul, Zati, Fong, Ang, Imran, Muhammad
- Authors: Amalina, Fairuz , Targio Hashem, Ibrahim , Azizul, Zati , Fong, Ang , Imran, Muhammad
- Date: 2020
- Type: Text , Journal article , Review
- Relation: IEEE Access Vol. 8, no. (2020), p. 3629-3645
- Full Text:
- Reviewed:
- Description: With the collection of massive amounts of data every day, big data analytics has emerged as an important trend for many organizations. These collected data can contain important information that may be key to solving wide-ranging problems, such as cyber security, marketing, healthcare, and fraud. To analyze their large volumes of data for business analyses and decisions, large companies, such as Facebook and Google, adopt analytics. Such analyses and decisions impact existing and future technology. In this paper, we explore how big data analytics is utilized as a technique for solving problems of complex and unstructured data using such technologies as Hadoop, Spark, and MapReduce. We also discuss the data challenges introduced by big data according to the literature, including its six V's. Moreover, we investigate case studies of big data analytics on various techniques of such analytics, namely, text, voice, video, and network analytics. We conclude that big data analytics can bring positive changes in many fields, such as education, military, healthcare, politics, business, agriculture, banking, and marketing, in the future. © 2013 IEEE.
- Authors: Amalina, Fairuz , Targio Hashem, Ibrahim , Azizul, Zati , Fong, Ang , Imran, Muhammad
- Date: 2020
- Type: Text , Journal article , Review
- Relation: IEEE Access Vol. 8, no. (2020), p. 3629-3645
- Full Text:
- Reviewed:
- Description: With the collection of massive amounts of data every day, big data analytics has emerged as an important trend for many organizations. These collected data can contain important information that may be key to solving wide-ranging problems, such as cyber security, marketing, healthcare, and fraud. To analyze their large volumes of data for business analyses and decisions, large companies, such as Facebook and Google, adopt analytics. Such analyses and decisions impact existing and future technology. In this paper, we explore how big data analytics is utilized as a technique for solving problems of complex and unstructured data using such technologies as Hadoop, Spark, and MapReduce. We also discuss the data challenges introduced by big data according to the literature, including its six V's. Moreover, we investigate case studies of big data analytics on various techniques of such analytics, namely, text, voice, video, and network analytics. We conclude that big data analytics can bring positive changes in many fields, such as education, military, healthcare, politics, business, agriculture, banking, and marketing, in the future. © 2013 IEEE.