Determinants of resistance to VEGF-TKI and immune checkpoint inhibitors in metastatic renal cell carcinoma
- Sharma, Revati, Kadife, Elif, Myers, Mark, Kannourakis, George, Prithviraj, Prashanth, Ahmed, Nuzhat
- Authors: Sharma, Revati , Kadife, Elif , Myers, Mark , Kannourakis, George , Prithviraj, Prashanth , Ahmed, Nuzhat
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Journal of Experimental and Clinical Cancer Research Vol. 40, no. 1 (2021), p.
- Full Text:
- Reviewed:
- Description: Vascular endothelial growth factor tyrosine kinase inhibitors (VEGF-TKIs) have been the mainstay of treatment for patients with advanced renal cell carcinoma (RCC). Despite its early promising results in decreasing or delaying the progression of RCC in patients, VEGF-TKIs have provided modest benefits in terms of disease-free progression, as 70% of the patients who initially respond to the treatment later develop drug resistance, with 30% of the patients innately resistant to VEGF-TKIs. In the past decade, several molecular and genetic mechanisms of VEGF-TKI resistance have been reported. One of the mechanisms of VEGF-TKIs is inhibition of the classical angiogenesis pathway. However, recent studies have shown the restoration of an alternative angiogenesis pathway in modulating resistance. Further, in the last 5 years, immune checkpoint inhibitors (ICIs) have revolutionized RCC treatment. Although some patients exhibit potent responses, a non-negligible number of patients are innately resistant or develop resistance within a few months to ICI therapy. Hence, an understanding of the mechanisms of VEGF-TKI and ICI resistance will help in formulating useful knowledge about developing effective treatment strategies for patients with advanced RCC. In this article, we review recent findings on the emerging understanding of RCC pathology, VEGF-TKI and ICI resistance mechanisms, and potential avenues to overcome these resistance mechanisms through rationally designed combination therapies. © 2021, The Author(s).
- Authors: Sharma, Revati , Kadife, Elif , Myers, Mark , Kannourakis, George , Prithviraj, Prashanth , Ahmed, Nuzhat
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Journal of Experimental and Clinical Cancer Research Vol. 40, no. 1 (2021), p.
- Full Text:
- Reviewed:
- Description: Vascular endothelial growth factor tyrosine kinase inhibitors (VEGF-TKIs) have been the mainstay of treatment for patients with advanced renal cell carcinoma (RCC). Despite its early promising results in decreasing or delaying the progression of RCC in patients, VEGF-TKIs have provided modest benefits in terms of disease-free progression, as 70% of the patients who initially respond to the treatment later develop drug resistance, with 30% of the patients innately resistant to VEGF-TKIs. In the past decade, several molecular and genetic mechanisms of VEGF-TKI resistance have been reported. One of the mechanisms of VEGF-TKIs is inhibition of the classical angiogenesis pathway. However, recent studies have shown the restoration of an alternative angiogenesis pathway in modulating resistance. Further, in the last 5 years, immune checkpoint inhibitors (ICIs) have revolutionized RCC treatment. Although some patients exhibit potent responses, a non-negligible number of patients are innately resistant or develop resistance within a few months to ICI therapy. Hence, an understanding of the mechanisms of VEGF-TKI and ICI resistance will help in formulating useful knowledge about developing effective treatment strategies for patients with advanced RCC. In this article, we review recent findings on the emerging understanding of RCC pathology, VEGF-TKI and ICI resistance mechanisms, and potential avenues to overcome these resistance mechanisms through rationally designed combination therapies. © 2021, The Author(s).
Educational big data : predictions, applications and challenges
- Bai, Xiaomei, Zhang, Fuli, Li, Jinzhou, Guo, Teng, Xia, Feng
- Authors: Bai, Xiaomei , Zhang, Fuli , Li, Jinzhou , Guo, Teng , Xia, Feng
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Big Data Research Vol. 26, no. (2021), p.
- Full Text:
- Reviewed:
- Description: Educational big data is becoming a strategic educational asset, exceptionally significant in advancing educational reform. The term educational big data stems from the rapidly growing educational data development, including students' inherent attributes, learning behavior, and psychological state. Educational big data has many applications that can be used for educational administration, teaching innovation, and research management. The representative examples of such applications are student academic performance prediction, employment recommendation, and financial support for low-income students. Different empirical studies have shown that it is possible to predict student performance in the courses during the next term. Predictive research for the higher education stage has become an attractive area of study since it allowed us to predict student behavior. In this survey, we will review predictive research, its applications, and its challenges. We first introduce the significance and background of educational big data. Second, we review the students' academic performance prediction research, such as factors influencing students' academic performance, predicting models, evaluating indices. Third, we introduce the applications of educational big data such as prediction, recommendation, and evaluation. Finally, we investigate challenging research issues in this area. This discussion aims to provide a comprehensive overview of educational big data. © 2021 Elsevier Inc. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Feng Xia” is provided in this record**
- Authors: Bai, Xiaomei , Zhang, Fuli , Li, Jinzhou , Guo, Teng , Xia, Feng
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Big Data Research Vol. 26, no. (2021), p.
- Full Text:
- Reviewed:
- Description: Educational big data is becoming a strategic educational asset, exceptionally significant in advancing educational reform. The term educational big data stems from the rapidly growing educational data development, including students' inherent attributes, learning behavior, and psychological state. Educational big data has many applications that can be used for educational administration, teaching innovation, and research management. The representative examples of such applications are student academic performance prediction, employment recommendation, and financial support for low-income students. Different empirical studies have shown that it is possible to predict student performance in the courses during the next term. Predictive research for the higher education stage has become an attractive area of study since it allowed us to predict student behavior. In this survey, we will review predictive research, its applications, and its challenges. We first introduce the significance and background of educational big data. Second, we review the students' academic performance prediction research, such as factors influencing students' academic performance, predicting models, evaluating indices. Third, we introduce the applications of educational big data such as prediction, recommendation, and evaluation. Finally, we investigate challenging research issues in this area. This discussion aims to provide a comprehensive overview of educational big data. © 2021 Elsevier Inc. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Feng Xia” is provided in this record**
Factors affecting the global distribution of Hydrilla verticillata (L. fil.) Royle : a review
- Patrick, Anton, Florentine, Singarayer
- Authors: Patrick, Anton , Florentine, Singarayer
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Weed Research Vol. 61, no. 4 (2021), p. 253-271
- Full Text: false
- Reviewed:
- Description: Hydrilla verticillata (Hydrocharitaceae) is a submerged freshwater flowering plant within the monotypic genus. Over the geological periods, fossils of this family and genus have shown distinct diversifications between warm and cool fluctuations with more adaptations occurring in warmer periods and suppressions during severely cold paleoclimate changes. Recently, H. verticillata has shown a wide range of adaptive plasticity, allowing successful proliferation into non-native regions, whilst also undergoing unexplained disappearance from its native localities, and this phenomenon has stimulated this inquiry. Against this somewhat complex background, particular interest for this investigation has been focussed on an understanding of which aspects of climate change have contributed towards global adaptations and distribution patterns of H. verticillata. Whilst it is recognised that some of these changes are natural, other aggravating impacts are due to anthropogenic influences. Identifying the appropriate combinations of these climatic factors (temperature, rainfall, photoperiod), in concert with environmental (water level, CO2, salinity, eutrophication), geographical (altitude, latitude) and other factors (UV-B) are necessary precursors for instituting appropriate management strategies. In this respect, control measures are needed in non-native regions and restoration of this plant in native habitats are essential for its ecologically balanced global distribution. © 2021 European Weed Research Society
Fermentation and the microbial community of Japanese koji and miso : a review
- Allwood, Joanne, Wakeling, Lara, Bean, David
- Authors: Allwood, Joanne , Wakeling, Lara , Bean, David
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Journal of Food Science Vol. 86, no. 6 (2021), p. 2194-2207
- Full Text:
- Reviewed:
- Description: Abstract: Miso is a well-known traditional Japanese fermented food, with a characteristic savory flavor and aroma, known predominately as the seasoning in miso soup. Miso production involves a two-stage fermentation, where first a mold, such as Aspergillus oryzae, is inoculated onto a substrate to make koji. A subsequent fermentation, this time by bacteria and yeast, occurs when the koji is added to a salt and soybean mash, with the miso left to ferment for up to 2 years. The microbial community of miso is considered essential to the development of the unique taste, texture, and nutritional profile of miso. Despite the importance of microorganisms in the production of miso, very little research has been undertaken to characterize and describe the microbial process. In this review, we provide an overview of the two-stage fermentation process, describe what is currently known about the microbial communities involved and consider any potential health benefits associated with the consumption of miso, along with food safety concerns. As the popularity of miso continues to expand globally and is produced under new environmental conditions, understanding the microbiological processes involved will assist to ensure that global production of miso is safe as well as delicious. © 2021 Institute of Food Technologists®
- Authors: Allwood, Joanne , Wakeling, Lara , Bean, David
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Journal of Food Science Vol. 86, no. 6 (2021), p. 2194-2207
- Full Text:
- Reviewed:
- Description: Abstract: Miso is a well-known traditional Japanese fermented food, with a characteristic savory flavor and aroma, known predominately as the seasoning in miso soup. Miso production involves a two-stage fermentation, where first a mold, such as Aspergillus oryzae, is inoculated onto a substrate to make koji. A subsequent fermentation, this time by bacteria and yeast, occurs when the koji is added to a salt and soybean mash, with the miso left to ferment for up to 2 years. The microbial community of miso is considered essential to the development of the unique taste, texture, and nutritional profile of miso. Despite the importance of microorganisms in the production of miso, very little research has been undertaken to characterize and describe the microbial process. In this review, we provide an overview of the two-stage fermentation process, describe what is currently known about the microbial communities involved and consider any potential health benefits associated with the consumption of miso, along with food safety concerns. As the popularity of miso continues to expand globally and is produced under new environmental conditions, understanding the microbiological processes involved will assist to ensure that global production of miso is safe as well as delicious. © 2021 Institute of Food Technologists®
Fire and its interactions with other drivers shape a distinctive, semi-arid ‘mallee’ ecosystem
- Clarke, Michael, Kelly, Luke, Avitabile, Sarah, Benshemesh, Joe, Westbrooke, Martin
- Authors: Clarke, Michael , Kelly, Luke , Avitabile, Sarah , Benshemesh, Joe , Westbrooke, Martin
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Frontiers in Ecology and Evolution Vol. 9, no. (2021), p.
- Full Text:
- Reviewed:
- Description: Fire shapes ecosystems globally, including semi-arid ecosystems. In Australia, semi-arid ‘mallee’ ecosystems occur primarily across the southern part of the continent, forming an interface between the arid interior and temperate south. Mallee vegetation is characterized by short, multi-stemmed eucalypts that grow from a basal lignotuber. Fire shapes the structure and functioning of mallee ecosystems. Using the Murray Mallee region in south-eastern Australia as a case study, we examine the characteristics and role of fire, the consequences for biota, and the interaction of fire with other drivers. Wildfires in mallee ecosystems typically are large (1000s ha), burn with high severity, commonly cause top-kill of eucalypts, and create coarse-grained mosaics at a regional scale. Wildfires can occur in late spring and summer in both dry and wet years. Recovery of plant and animal communities is predictable and slow, with regeneration of eucalypts and many habitat components extending over decades. Time since the last fire strongly influences the distribution and abundance of many species and the structure of plant and animal communities. Animal species display a discrete set of generalized responses to time since fire. Systematic field studies and modeling are beginning to reveal how spatial variation in fire regimes (‘pyrodiversity’) at different scales shapes biodiversity. Pyrodiversity includes variation in the extent of post-fire habitats, the diversity of post-fire age-classes and their configuration. At regional scales, a desirable mix of fire histories for biodiversity conservation includes a combination of early, mid and late post-fire age-classes, weighted toward later seral stages that provide critical habitat for threatened species. Biodiversity is also influenced by interactions between fire and other drivers, including land clearing, rainfall, herbivory and predation. Extensive clearing for agriculture has altered the nature and impact of fire, and facilitated invasion by pest species that modify fuels, fire regimes and post-fire recovery. Given the natural and anthropogenic drivers of fire and the consequences of their interactions, we highlight opportunities for conserving mallee ecosystems. These include learning from and fostering Indigenous knowledge of fire, implementing actions that consider synergies between fire and other processes, and strategic monitoring of fire, biodiversity and other drivers to guide place-based, adaptive management under climate change. © Copyright © 2021 Clarke, Kelly, Avitabile, Benshemesh, Callister, Driscoll, Ewin, Giljohann, Haslem, Kenny, Leonard, Ritchie, Nimmo, Schedvin, Schneider, Watson, Westbrooke, White, Wouters and Bennett. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Martin Westbrooke” is provided in this record**
- Authors: Clarke, Michael , Kelly, Luke , Avitabile, Sarah , Benshemesh, Joe , Westbrooke, Martin
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Frontiers in Ecology and Evolution Vol. 9, no. (2021), p.
- Full Text:
- Reviewed:
- Description: Fire shapes ecosystems globally, including semi-arid ecosystems. In Australia, semi-arid ‘mallee’ ecosystems occur primarily across the southern part of the continent, forming an interface between the arid interior and temperate south. Mallee vegetation is characterized by short, multi-stemmed eucalypts that grow from a basal lignotuber. Fire shapes the structure and functioning of mallee ecosystems. Using the Murray Mallee region in south-eastern Australia as a case study, we examine the characteristics and role of fire, the consequences for biota, and the interaction of fire with other drivers. Wildfires in mallee ecosystems typically are large (1000s ha), burn with high severity, commonly cause top-kill of eucalypts, and create coarse-grained mosaics at a regional scale. Wildfires can occur in late spring and summer in both dry and wet years. Recovery of plant and animal communities is predictable and slow, with regeneration of eucalypts and many habitat components extending over decades. Time since the last fire strongly influences the distribution and abundance of many species and the structure of plant and animal communities. Animal species display a discrete set of generalized responses to time since fire. Systematic field studies and modeling are beginning to reveal how spatial variation in fire regimes (‘pyrodiversity’) at different scales shapes biodiversity. Pyrodiversity includes variation in the extent of post-fire habitats, the diversity of post-fire age-classes and their configuration. At regional scales, a desirable mix of fire histories for biodiversity conservation includes a combination of early, mid and late post-fire age-classes, weighted toward later seral stages that provide critical habitat for threatened species. Biodiversity is also influenced by interactions between fire and other drivers, including land clearing, rainfall, herbivory and predation. Extensive clearing for agriculture has altered the nature and impact of fire, and facilitated invasion by pest species that modify fuels, fire regimes and post-fire recovery. Given the natural and anthropogenic drivers of fire and the consequences of their interactions, we highlight opportunities for conserving mallee ecosystems. These include learning from and fostering Indigenous knowledge of fire, implementing actions that consider synergies between fire and other processes, and strategic monitoring of fire, biodiversity and other drivers to guide place-based, adaptive management under climate change. © Copyright © 2021 Clarke, Kelly, Avitabile, Benshemesh, Callister, Driscoll, Ewin, Giljohann, Haslem, Kenny, Leonard, Ritchie, Nimmo, Schedvin, Schneider, Watson, Westbrooke, White, Wouters and Bennett. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Martin Westbrooke” is provided in this record**
Graph learning : a survey
- Xia, Feng, Sun, Ke, Yu, Shuo, Aziz, Abdul, Wan, Liangtian, Pan, Shirui, Liu, Huan
- Authors: Xia, Feng , Sun, Ke , Yu, Shuo , Aziz, Abdul , Wan, Liangtian , Pan, Shirui , Liu, Huan
- Date: 2021
- Type: Text , Journal article , Review
- Relation: IEEE Transactions on Artificial Intelligence Vol. 2, no. 2 (2021), p. 109-127
- Full Text:
- Reviewed:
- Description: Graphs are widely used as a popular representation of the network structure of connected data. Graph data can be found in a broad spectrum of application domains such as social systems, ecosystems, biological networks, knowledge graphs, and information systems. With the continuous penetration of artificial intelligence technologies, graph learning (i.e., machine learning on graphs) is gaining attention from both researchers and practitioners. Graph learning proves effective for many tasks, such as classification, link prediction, and matching. Generally, graph learning methods extract relevant features of graphs by taking advantage of machine learning algorithms. In this survey, we present a comprehensive overview on the state-of-the-art of graph learning. Special attention is paid to four categories of existing graph learning methods, including graph signal processing, matrix factorization, random walk, and deep learning. Major models and algorithms under these categories are reviewed, respectively. We examine graph learning applications in areas such as text, images, science, knowledge graphs, and combinatorial optimization. In addition, we discuss several promising research directions in this field. Impact Statement—Real-world intelligent systems generally rely on machine learning algorithms handling data of various types. Despite their ubiquity, graph data have imposed unprecedented challenges to machine learning due to their inherent complexity. Unlike text, audio and images, graph data are embedded in an irregular domain, making some essential operations of existing machine learning algorithms inapplicable. Many graph learning models and algorithms have been developed to tackle these challenges. This article presents a systematic review of the state-of-the-art graph learning approaches as well as their potential applications. The article serves multiple purposes. First, it acts as a quick reference to graph learning for researchers and practitioners in different areas such as social computing, information retrieval, computer vision, bioinformatics, economics, and e-commence. Second, it presents insights into open areas of research in the field. Third, it aims to stimulate new research ideas and more interests in graph learning. © IEEE Transactions on Artificial Intelligence 2020.
- Authors: Xia, Feng , Sun, Ke , Yu, Shuo , Aziz, Abdul , Wan, Liangtian , Pan, Shirui , Liu, Huan
- Date: 2021
- Type: Text , Journal article , Review
- Relation: IEEE Transactions on Artificial Intelligence Vol. 2, no. 2 (2021), p. 109-127
- Full Text:
- Reviewed:
- Description: Graphs are widely used as a popular representation of the network structure of connected data. Graph data can be found in a broad spectrum of application domains such as social systems, ecosystems, biological networks, knowledge graphs, and information systems. With the continuous penetration of artificial intelligence technologies, graph learning (i.e., machine learning on graphs) is gaining attention from both researchers and practitioners. Graph learning proves effective for many tasks, such as classification, link prediction, and matching. Generally, graph learning methods extract relevant features of graphs by taking advantage of machine learning algorithms. In this survey, we present a comprehensive overview on the state-of-the-art of graph learning. Special attention is paid to four categories of existing graph learning methods, including graph signal processing, matrix factorization, random walk, and deep learning. Major models and algorithms under these categories are reviewed, respectively. We examine graph learning applications in areas such as text, images, science, knowledge graphs, and combinatorial optimization. In addition, we discuss several promising research directions in this field. Impact Statement—Real-world intelligent systems generally rely on machine learning algorithms handling data of various types. Despite their ubiquity, graph data have imposed unprecedented challenges to machine learning due to their inherent complexity. Unlike text, audio and images, graph data are embedded in an irregular domain, making some essential operations of existing machine learning algorithms inapplicable. Many graph learning models and algorithms have been developed to tackle these challenges. This article presents a systematic review of the state-of-the-art graph learning approaches as well as their potential applications. The article serves multiple purposes. First, it acts as a quick reference to graph learning for researchers and practitioners in different areas such as social computing, information retrieval, computer vision, bioinformatics, economics, and e-commence. Second, it presents insights into open areas of research in the field. Third, it aims to stimulate new research ideas and more interests in graph learning. © IEEE Transactions on Artificial Intelligence 2020.
- Hui, Ting, Garvey, Loretta, Olasoji, Michael
- Authors: Hui, Ting , Garvey, Loretta , Olasoji, Michael
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal of Mental Health Nursing Vol. 30, no. 6 (2021), p. 1498-1524
- Full Text: false
- Reviewed:
- Description: People with mental illness experience a shorter life expectancy compared to the general population. Poor physical health trajectory emerges following the onset of psychosis and is further compounded by the initiation of antipsychotic treatment. Young people are particularly at risk as the onset of mental illness mostly occurs between the age of 12 and 25 years. This represents a crucial period for early intervention to prevent a physical ill health trajectory. Furthermore, those who are at ultra-high risk for psychosis should also be targeted for early intervention. Lifestyle interventions have been identified as the first-line physical health promotion practice for improving the physical health of people with severe mental illness. The aim of this study was to conduct a scoping review following the JBI methodological guidance on scoping reviews to explore the current literature on lifestyle intervention trialled for early psychosis, including first-episode psychosis and those who are at ultra-high risk for psychosis. This review also explores the extent of literature examining physical health literacy in this specific population. The literature search was conducted on Medline, Embase, PsycINFO and Scopus. Twenty-two studies were included for the purpose of this scoping review, 21 of which examined the effects of lifestyle interventions and one of which reported on physical health literacy. This scoping review indicates the need for co-designed lifestyle interventions with the involvement of service users, families and carers and a focus on promoting physical health literacy, social support, and an incorporation of a health behaviour change model focus on promoting autonomous motivation. The findings of this study can inform future development of a novel co-designed lifestyle intervention for the targeted population. © 2021 John Wiley & Sons Australia, Ltd
Infographic consensus recommendations on the classification, definition and diagnostic criteria of hip-related pain in young and middle-aged active adults from the International Hip-related Pain Research Network, Zurich 2018
- Reiman, Michael, Agricola, Rintje, Kemp, Joanne, Heerey, Joshua, Weir, Adam, Van Klij, Pim, Kassarjian, Ara, Mosler, Andrea, Ageberg, Eva, Hölmich, Perj, WArholm, Kristian, Griffin, Damian, Mayes, Suec, Khan, Karim, Crossley, Kay, Bizzini, Mario, Bloom, Nancy, Casartelli, Nicola, Diamond, Laura, Di Stasi, Stephanieu, Drew, Michael, Friedman, Daniel, Freke, Matthew, Glyn-Jones, Sionz, Gojanovic, Borisaa, Harris-Hayes, Marcie, Hunt, Michael, Impellizzeri, Franco, Ishøi, Lasseae;, Jones, Denise
- Authors: Reiman, Michael , Agricola, Rintje , Kemp, Joanne , Heerey, Joshua , Weir, Adam , Van Klij, Pim , Kassarjian, Ara , Mosler, Andrea , Ageberg, Eva , Hölmich, Perj , WArholm, Kristian , Griffin, Damian , Mayes, Suec , Khan, Karim , Crossley, Kay , Bizzini, Mario , Bloom, Nancy , Casartelli, Nicola , Diamond, Laura , Di Stasi, Stephanieu , Drew, Michael , Friedman, Daniel , Freke, Matthew , Glyn-Jones, Sionz , Gojanovic, Borisaa , Harris-Hayes, Marcie , Hunt, Michael , Impellizzeri, Franco , Ishøi, Lasseae; , Jones, Denise
- Date: 2021
- Type: Text , Journal article , Review
- Relation: British Journal of Sports Medicine Vol. 55, no. 2 (2021), p. 115-117
- Full Text:
- Reviewed:
- Description: **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Michael Drew" is provided in this record**
- Authors: Reiman, Michael , Agricola, Rintje , Kemp, Joanne , Heerey, Joshua , Weir, Adam , Van Klij, Pim , Kassarjian, Ara , Mosler, Andrea , Ageberg, Eva , Hölmich, Perj , WArholm, Kristian , Griffin, Damian , Mayes, Suec , Khan, Karim , Crossley, Kay , Bizzini, Mario , Bloom, Nancy , Casartelli, Nicola , Diamond, Laura , Di Stasi, Stephanieu , Drew, Michael , Friedman, Daniel , Freke, Matthew , Glyn-Jones, Sionz , Gojanovic, Borisaa , Harris-Hayes, Marcie , Hunt, Michael , Impellizzeri, Franco , Ishøi, Lasseae; , Jones, Denise
- Date: 2021
- Type: Text , Journal article , Review
- Relation: British Journal of Sports Medicine Vol. 55, no. 2 (2021), p. 115-117
- Full Text:
- Reviewed:
- Description: **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Michael Drew" is provided in this record**
Licorice (glycyrrhiza glabra) extracts-suitable pharmacological interventions for covid-19? a review
- Abraham, Joji, Florentine, Singarayer
- Authors: Abraham, Joji , Florentine, Singarayer
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Plants Vol. 10, no. 12 (2021), p.
- Full Text:
- Reviewed:
- Description: Even though vaccination has started against COVID-19, people should continue maintaining personal and social caution as it takes months or years to get everyone vaccinated, and we are not sure how long the vaccine remains efficacious. In order to contribute to the mitigation of COVID-19 symptoms, the pharmaceutical industry aims to develop antiviral drugs to inhibit the SARS-CoV-2 replication and produce anti-inflammatory medications that will inhibit the acute respiratory distress syndrome (ARDS), which is the primary cause of mortality among the COVID-19 patients. In reference to these tasks, this article considers the properties of a medicinal plant named licorice (Glycyrrhiza glabra), whose phytochemicals have shown both antiviral and anti-inflammatory tendencies through previous studies. All the literature was selected through extensive search in various databases such as google scholar, Scopus, the Web of Science, and PubMed. In addition to the antiviral and anti-inflammatory properties, one of the licorice components has an autophagy-enhancing mechanism that studies have suggested to be necessary for COVID-19 treatment. Based on reviewing relevant professional and historical literature regarding the medicinal properties of licorice, it is suggested that it may be worthwhile to conduct in vitro and in vivo studies, including clinical trials with glycyrrhizic and glycyrrhetinic acids together with other flavonoids found in licorice, as there is the potentiality to provide natural interventions against COVID-19 symptoms. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Licorice (glycyrrhiza glabra) extracts-suitable pharmacological interventions for covid-19? a review
- Authors: Abraham, Joji , Florentine, Singarayer
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Plants Vol. 10, no. 12 (2021), p.
- Full Text:
- Reviewed:
- Description: Even though vaccination has started against COVID-19, people should continue maintaining personal and social caution as it takes months or years to get everyone vaccinated, and we are not sure how long the vaccine remains efficacious. In order to contribute to the mitigation of COVID-19 symptoms, the pharmaceutical industry aims to develop antiviral drugs to inhibit the SARS-CoV-2 replication and produce anti-inflammatory medications that will inhibit the acute respiratory distress syndrome (ARDS), which is the primary cause of mortality among the COVID-19 patients. In reference to these tasks, this article considers the properties of a medicinal plant named licorice (Glycyrrhiza glabra), whose phytochemicals have shown both antiviral and anti-inflammatory tendencies through previous studies. All the literature was selected through extensive search in various databases such as google scholar, Scopus, the Web of Science, and PubMed. In addition to the antiviral and anti-inflammatory properties, one of the licorice components has an autophagy-enhancing mechanism that studies have suggested to be necessary for COVID-19 treatment. Based on reviewing relevant professional and historical literature regarding the medicinal properties of licorice, it is suggested that it may be worthwhile to conduct in vitro and in vivo studies, including clinical trials with glycyrrhizic and glycyrrhetinic acids together with other flavonoids found in licorice, as there is the potentiality to provide natural interventions against COVID-19 symptoms. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Matching algorithms : fundamentals, applications and challenges
- Ren, Jing, Xia, Feng, Chen, Xiangtai, Liu, Jiaying, Sultanova, Nargiz
- Authors: Ren, Jing , Xia, Feng , Chen, Xiangtai , Liu, Jiaying , Sultanova, Nargiz
- Date: 2021
- Type: Text , Journal article , Review
- Relation: IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 5, no. 3 (2021), p. 332-350
- Full Text:
- Reviewed:
- Description: Matching plays a vital role in the rational allocation of resources in many areas, ranging from market operation to people's daily lives. In economics, the term matching theory is coined for pairing two agents in a specific market to reach a stable or optimal state. In computer science, all branches of matching problems have emerged, such as the question-answer matching in information retrieval, user-item matching in a recommender system, and entity-relation matching in the knowledge graph. A preference list is the core element during a matching process, which can either be obtained directly from the agents or generated indirectly by prediction. Based on the preference list access, matching problems are divided into two categories, i.e., explicit matching and implicit matching. In this paper, we first introduce the matching theory's basic models and algorithms in explicit matching. The existing methods for coping with various matching problems in implicit matching are reviewed, such as retrieval matching, user-item matching, entity-relation matching, and image matching. Furthermore, we look into representative applications in these areas, including marriage and labor markets in explicit matching and several similarity-based matching problems in implicit matching. Finally, this survey paper concludes with a discussion of open issues and promising future directions in the field of matching. © 2017 IEEE. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Jing Ren, Xia Feng, Nargiz Sultanova" is provided in this record**
- Authors: Ren, Jing , Xia, Feng , Chen, Xiangtai , Liu, Jiaying , Sultanova, Nargiz
- Date: 2021
- Type: Text , Journal article , Review
- Relation: IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 5, no. 3 (2021), p. 332-350
- Full Text:
- Reviewed:
- Description: Matching plays a vital role in the rational allocation of resources in many areas, ranging from market operation to people's daily lives. In economics, the term matching theory is coined for pairing two agents in a specific market to reach a stable or optimal state. In computer science, all branches of matching problems have emerged, such as the question-answer matching in information retrieval, user-item matching in a recommender system, and entity-relation matching in the knowledge graph. A preference list is the core element during a matching process, which can either be obtained directly from the agents or generated indirectly by prediction. Based on the preference list access, matching problems are divided into two categories, i.e., explicit matching and implicit matching. In this paper, we first introduce the matching theory's basic models and algorithms in explicit matching. The existing methods for coping with various matching problems in implicit matching are reviewed, such as retrieval matching, user-item matching, entity-relation matching, and image matching. Furthermore, we look into representative applications in these areas, including marriage and labor markets in explicit matching and several similarity-based matching problems in implicit matching. Finally, this survey paper concludes with a discussion of open issues and promising future directions in the field of matching. © 2017 IEEE. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Jing Ren, Xia Feng, Nargiz Sultanova" is provided in this record**
Medical parasitology taxonomy update, January 2018 to May 2020
- Mathison, Blaine, Bradbury, Richard, Pritt, Bobbi
- Authors: Mathison, Blaine , Bradbury, Richard , Pritt, Bobbi
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Journal of Clinical Microbiology Vol. 59, no. 2 (2021), p.
- Full Text:
- Reviewed:
- Description: The taxonomy of parasites of medical and public health importance is rapidly evolving. This minireview provides an update of taxonomic revisions and additions in the field of medical parasitology from January 2018 to May 2020. Several established human parasites have been reassigned to different genera over the past 2 years, while a number of novel parasites of humans have been identified. A comprehensive summary of these changes is provided here, and Taenia suihominis is proposed as a replacement name for Taenia asiaticus Eom et al., which is a homonym of Taenia asiatica von Linstow. © 2021 American Society for Microbiology. All rights reserved. Erratum: Medical parasitology taxonomy update, January 2018 to May 2020 (Journal of Clinical Microbiology (2021) 59:2 (e01308-20) DOI: https://doi.org/10.1128/JCM.01308-20
- Authors: Mathison, Blaine , Bradbury, Richard , Pritt, Bobbi
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Journal of Clinical Microbiology Vol. 59, no. 2 (2021), p.
- Full Text:
- Reviewed:
- Description: The taxonomy of parasites of medical and public health importance is rapidly evolving. This minireview provides an update of taxonomic revisions and additions in the field of medical parasitology from January 2018 to May 2020. Several established human parasites have been reassigned to different genera over the past 2 years, while a number of novel parasites of humans have been identified. A comprehensive summary of these changes is provided here, and Taenia suihominis is proposed as a replacement name for Taenia asiaticus Eom et al., which is a homonym of Taenia asiatica von Linstow. © 2021 American Society for Microbiology. All rights reserved. Erratum: Medical parasitology taxonomy update, January 2018 to May 2020 (Journal of Clinical Microbiology (2021) 59:2 (e01308-20) DOI: https://doi.org/10.1128/JCM.01308-20
Medicinal value of three agricultural weed species of the asteraceae family : a review
- Jayasundera, Mithila, Florentine, Singarayer, Tennakoon, Kushan, Chauhan, Bhagirath
- Authors: Jayasundera, Mithila , Florentine, Singarayer , Tennakoon, Kushan , Chauhan, Bhagirath
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Pharmacognosy Journal Vol. 13, no. 1 (2021), p. 264-277
- Full Text:
- Reviewed:
- Description: Ageratum conyzoides L., Tridax procumbens L. and Bidens pilosa L. are well known plant species of the Asteraceae family that are considered weeds in intensive agriculture. These weeds are traditionally known to have medicinal properties and have been used for therapeutic treatments. However, it is only the lack of proper knowledge, awareness and screening that have limited their use in pharmaceutical sectors. This review attempts to consolidate the traditional, phytochemical and pharmacological studies that have been carried out on Ageratum conyzoides L., Tridax procumbens L. and Bidens pilosa L., which we note are widely spread throughout the world. This study was conducted through a coherent search on Ageratum conyzoides L., Tridax procumbens L. and Bidens pilosa L. with respect to traditional uses, phytochemical and pharmacological studies that have been performed on these three agricultural weeds all over the world. An exploration of reported descriptions of the potential medical importance of three agricultural weed species (A. conyzoides, T. procumbens and B. pilosa) has been presented. The present review would encourage further clinical investigations into these three plants and their extracts to more closely define the range of uses of these herbs for clinical applications. This, in turn, would give a clear understanding whether these weed species might be targeted to be conserved in a sustainable manner rather than eradicated. © 2021 Phcogj.Com. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
- Authors: Jayasundera, Mithila , Florentine, Singarayer , Tennakoon, Kushan , Chauhan, Bhagirath
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Pharmacognosy Journal Vol. 13, no. 1 (2021), p. 264-277
- Full Text:
- Reviewed:
- Description: Ageratum conyzoides L., Tridax procumbens L. and Bidens pilosa L. are well known plant species of the Asteraceae family that are considered weeds in intensive agriculture. These weeds are traditionally known to have medicinal properties and have been used for therapeutic treatments. However, it is only the lack of proper knowledge, awareness and screening that have limited their use in pharmaceutical sectors. This review attempts to consolidate the traditional, phytochemical and pharmacological studies that have been carried out on Ageratum conyzoides L., Tridax procumbens L. and Bidens pilosa L., which we note are widely spread throughout the world. This study was conducted through a coherent search on Ageratum conyzoides L., Tridax procumbens L. and Bidens pilosa L. with respect to traditional uses, phytochemical and pharmacological studies that have been performed on these three agricultural weeds all over the world. An exploration of reported descriptions of the potential medical importance of three agricultural weed species (A. conyzoides, T. procumbens and B. pilosa) has been presented. The present review would encourage further clinical investigations into these three plants and their extracts to more closely define the range of uses of these herbs for clinical applications. This, in turn, would give a clear understanding whether these weed species might be targeted to be conserved in a sustainable manner rather than eradicated. © 2021 Phcogj.Com. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
Model predictive control of microgrids – An overview
- Hu, Jiefeng, Shan, Yinghao, Guerrero, Josep, Ioinovici, Adrian, Chan, Ka, Rodriguez, Jose
- Authors: Hu, Jiefeng , Shan, Yinghao , Guerrero, Josep , Ioinovici, Adrian , Chan, Ka , Rodriguez, Jose
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Renewable and Sustainable Energy Reviews Vol. 136, no. (2021), p.
- Full Text: false
- Reviewed:
- Description: The development of microgrids is an advantageous option for integrating rapidly growing renewable energies. However, the stochastic nature of renewable energies and variable power demand have created many challenges like unstable voltage/frequency and complicated power management and interaction with the utility grid. Recently, predictive control with its fast transient response and flexibility to accommodate different constraints has presented huge potentials in microgrid applications. This paper provides a comprehensive review of model predictive control (MPC) in individual and interconnected microgrids, including both converter-level and grid-level control strategies applied to three layers of the hierarchical control architecture. This survey shows that MPC is at the beginning of the application in microgrids and that it emerges as a competitive alternative to conventional methods in voltage regulation, frequency control, power flow management and economic operation optimization. Also, some of the most important trends in MPC development have been highlighted and discussed as future perspectives. © 2020 Elsevier Ltd
- Description: This work was supported by School of Engineering, IT and Physical Sciences, Federation University Australia , under Project RGS20-5 .
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.
- 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).
- 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
- 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.
- 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
- 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.
- 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.
- Kerbage, Samira, Garvey, Loretta, Lambert, Gavin, Willetts, Georgina
- Authors: Kerbage, Samira , Garvey, Loretta , Lambert, Gavin , Willetts, Georgina
- Date: 2021
- Type: Text , Journal article , Review
- Relation: International Journal of Nursing Studies Vol. 122, no. (2021), p.
- Full Text: false
- Reviewed:
- Description: Background: Pain is frequently encountered in the intensive care setting. Given the impact of pain assessment on patient outcomes and length of hospital stay, studies have been conducted to validate tools, establish guidelines and cast light on practices relating to pain assessment. Objective: To examine the extent, range and nature of the evidence around pain assessment practices in adult patients who cannot self-report pain in the intensive care setting and summarise the findings from a heterogenous body of evidence to aid in the planning and the conduct of future research and management of patient care. The specific patient cohort studied was the sedated/ ventilated patient within the intensive care setting. Design: A scoping review protocol utilised the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping review checklist (PRISMA-ScR). Methods: The review comprised of five phases: identifying the research question, identifying relevant studies, study selection, charting the data and collating, summarizing, and reporting the results. Databases were systematically searched from January to April 2020. Databases included were Scopus, Web of Science, Medline via Ovid, CINAHL COMPLETE via EBSCO host, Health Source and PUBMED. Limits were applied on dates (2000 to current), language (English), subject (human) and age (adult). Key words used were “pain”, “assessment”, “measurement”, “tools”, “instruments”, “practices”, “sedated”, “ventilated”, “adult”. A hand search technique was used to search citations within articles. Database alerts were set to apprise the availability of research articles pertaining to pain assessment practices in the intensive care setting. Results: The review uncovered literature categorised under five general themes: behaviour pain assessment tools, pain assessment guidelines, position statements and quality improvement projects, enablers and barriers to pain assessment, and evidence appertaining to actual practices. Behaviour pain assessment tools are the benchmark for pain assessment of sedated and ventilated patients. The reliability and validity of physiologic parameters to assess pain is yet to be determined. Issues of compliance with pain assessment guidelines and tools exist and impact on practices. In some countries like Australia, there is a dearth of information regarding the prevalence and characteristics of patients receiving analgesia, type of analgesia used, pain assessment practices and the process of recording pain management. In general, pain assessment varies across different intensive care settings and lacks consistency. Conclusion: Research on pain assessment practices requires further investigation to explore the causative mechanisms that contribute to poor compliance with established pain management guidelines. The protocol of this review was registered with Open Science Framework (https://osf.io/25a6) Tweetable abstract: Pain assessment in intensive care settings lacks consistency. New information is needed to understand the causative mechanisms underpinning poor compliance with guidelines. © 2021
- Bist, Bhuwan, Ghimire, Prashant, Nishan, K., Poudel, Buddi, Wright, Wendy
- Authors: Bist, Bhuwan , Ghimire, Prashant , Nishan, K. , Poudel, Buddi , Wright, Wendy
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Biodiversity and Conservation Vol. 30, no. 13 (2021), p. 3763-3790
- Full Text: false
- Reviewed:
- Description: Nepal is a global biodiversity hotspot, supporting 213 mammal species with diverse habitats across various landscape types, from the lowland Terai to the high Himalayas. Studies of Nepal’s mammalian fauna are not evenly distributed and better understanding of past biases towards some species, research themes and locations can provide better strategic direction for future research investments. Therefore, we reviewed 575 scientific articles on mammals in Nepal, published between 2000 and 2019 and compiled these in March 2020, to examine trends, patterns and gaps, and pave future plans for mammalian research in Nepal. A positive increase in the number of publications (β = 0.27 ± 0.02SD, P < 0.00) was observed, with a more than threefold increase between 2010 and 2019 compared to 2000–2009 (t = − 6.26, df = 12.21, P < 0.000). Analysis of these documents revealed that mammalian researches favored large flagship, threatened species of carnivores inside Nepal’s protected area system. Geographically, mammalian research was not uniform in Nepal, as most studies were concentrated in Bagmati Province and in the Terai and Chure region. Baseline surveys and ecological studies were more common types of research, while studies on the impact of climate change and wildlife trade and poaching, are scant, which deserves a future look. While these studies shape current mammalogy in Nepal, studies of small, uncharismatic species, and in areas outside protected areas and other provinces except Bagmati, Lumbini and Province One are severely lacking. The research identified habitat loss, degradation and human-wildlife conflict as the major threats to the survival of mammalian species in Nepal. Therefore, redesigning and strict implementation of policies based on habitat management and human-wildlife co-existence, including other threat mitigation measures, are warranted. To address knowledge gaps, the prioritization of future research and funding should be focused on relatively unexplored research themes and under-researched provinces. This approach will help to re-align the research focus with the current need, and assist to fully understand and effectively conserve the wealth of mammalian diversity that Nepal holds. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. Correction to: Patterns and trends in two decades of research on Nepal’s mammalian fauna (2000–2019): examining the past for future implications (Biodiversity and Conservation, (2021), 30, 13, (3763-3790), 10.1007/s10531-021-02289-2) Biodiversity and Conservation, Volume 30, Issue 13, Pages 3791 - 3792, November 2021
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.
- 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.
- 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.
- 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.
- 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.