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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

A flourishing brain in the 21st century : a scoping review of the impact of developing good habits for mind, brain, well-being, and learning

- Ekman, Rolf, Fletcher, Anna, Giota, Joanna, Eriksson, Axel, Thomas, Bertil, Bååthe, Frederik

  • Authors: Ekman, Rolf , Fletcher, Anna , Giota, Joanna , Eriksson, Axel , Thomas, Bertil , Bååthe, Frederik
  • Date: 2022
  • Type: Text , Journal article , Review
  • Relation: Mind, Brain, and Education Vol. 16, no. 1 (2022), p. 13-23
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  • Description: Emerging scientific knowledge such as the role of epigenetics and neuroplasticity—the brain's capability to constantly rewire with every action, experience, and thought—is fundamentally changing our understanding of the potential impact we can have on our brain. Our brain is formed by our habits in interaction with our body, the environment, influenced by our lifestyle, successes, failures, and traumas. Neuroplasticity proves that every student's brain is a work in progress, and it is never too late to take better care of one's cognitive fitness. This review presents a repertoire of good habits (GHs). Combined, we suggest that these GHs provide conditions for optimal brain health, by acting as a “Mental Vaccine” which enhances the brain's resilience to brain health-degrading challenges. We argue that schools have a crucial role to play in empowering students to increase their own stress resilience, well-being, and learning by developing their own GHs profile. © 2021 The Authors. Mind, Brain, and Education published by International Mind, Brain, and Education Society and Wiley Periodicals LLC.

Themes in data mining, big data, and crime analytics

- Oatley,Giles

  • Authors: Oatley,Giles
  • Date: 2022
  • Type: Text , Journal article , Review
  • Relation: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Vol. 12, no. 2 (2022), p.
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  • Description: This article examines the impact of new AI-related technologies in data mining and big data on important research questions in crime analytics. Because the field is so broad, the review focuses on a selection of the most important topics. Challenges for information management, and in turn law and society, include: AI-powered predictive policing; big data for legal and adversarial decisions; bias using big data and analytics in profiling and predicting criminality; forecasting crime risk and crime rates; and, regulating AI systems. This article is categorized under: Algorithmic Development > Spatial and Temporal Data Mining Fundamental Concepts of Data and Knowledge > Big Data Mining Technologies > Artificial Intelligence Application Areas > Data Mining Software Tools. © 2021 Wiley Periodicals LLC.

A systematic review of public transport accessibility for people using mobility devices

- Unsworth, Carolyn, So, Man, Chua, Julian, Gudimetla, Prasad, Naweed, Anjum

  • Authors: Unsworth, Carolyn , So, Man , Chua, Julian , Gudimetla, Prasad , Naweed, Anjum
  • Date: 2021
  • Type: Text , Journal article , Review
  • Relation: Disability and Rehabilitation Vol. 43, no. 16 (2021), p. 2253-2267
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  • Description: Purpose: Being able to access public transport is vital for mobility device users as this is an affordable way of maintaining community connections and participating in activities that promote quality of life. This systematic review investigated literature on public transport access for people using mobility devices, excluding transit restraint and securement literature. Materials and methods: A systematic review of the peer-reviewed literature in English from 1995 to 2019, with critical appraisal and narrative synthesis. Results: Twenty-six articles were identified, including 14 studies investigating user experiences, seven examining bus formats and floor layouts, and five focusing on bus ramp incidents and optimal design. Studies were generally observational and descriptive, with 12 including analysis of video data. Conclusion: This is the first systematic review of literature related to the accessibility of public transport for people using mobility devices. Topics such as ramp access have been relatively well-researched, as have the experiences of users. However, many gaps remain and there is a need for research to; address the barriers identified through user experiences, discern the best access to stations and stops, as well as floor formats for people to ingress, manoeuvre and egress from a variety of transport modes, and promote universal design principles in the transport sector. Rehabilitation professionals can use the findings of this review to advocate for, and support people using mobility devices to successfully negotiate public transport.Implications for Rehabilitation Accessible public transport is vital to enable people using mobility devices to remain connected in their communities. Despite increased international awareness and adoption of accessibility features by the public transport sector to improve getting to a stop, ingress, manoeuvrability within and egress from conveyances, access for people using wheeled mobility devices cannot be assumed. When prescribing new wheeled mobility devices with clients, rehabilitation professionals and users need to consider public transport access and the suitability of different devices for this purpose. Rehabilitation professionals can undertake skills training with people using wheeled mobility devices to test out access prior to independent travel on public transport and develop strategies to overcome any barriers. © 2019 Informa UK Limited, trading as Taylor & Francis Group.

Cultural safety or cultural competence : how can we address inequities in culturally diverse groups?

- Kaphle, Sabitra, Hungerford, Catherine, Blanchard, Denise, Doyle, Kerrie, Ryan, Colleen, Cleary, Michelle

A global review of the invasive aquatic weed Cabomba caroliniana [A. Gray] (Carolina fanwort) : current and future management challenges, and research gaps

- Roberts, Jason, Florentine, Singarayer

  • Authors: Roberts, Jason , Florentine, Singarayer
  • Date: 2022
  • Type: Text , Journal article , Review
  • Relation: Weed Research Vol. 62, no. 1 (2022), p. 75-84
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  • Description: Cabomba caroliniana [A. Gray] (Cabombaceae), also known as Carolina fanwort, is a native of South America which has now become a serious invasive threat to aquatic systems across the world. Its capacity to inundate a water column with active fragments and seeds makes the containment and management of C. caroliniana a challenging task and an ecological and economic necessity. Previous and current management efforts have been largely focussed on biological control, drawdown methods, herbicide application, manual removal, shading and the use of a concentrated urea solution. Although these methods have shown some success in reducing large infestations, they are generally considered to be unreliable when used alone since they are unable to contain or reduce the species in the long term with a single-use treatment protocol. It is feared that, without effective, improved and integrated management strategies, C. caroliniana will continue to invade aquatic ecosystems beyond its already wide current distribution, thus causing increased global economic and environmental damage. This review will therefore explore the biology and distribution of C. caroliniana and examine the current and previous attempts for its global management. It will also evaluate the most successful current treatments and clarify where research efforts are urgently needed for the improved long-term extirpation of this aquatic invader. © 2021 European Weed Research Society

A systematic review on fitness testing in adult male basketball players : tests adopted, characteristics reported and recommendations for practice

- Morrison, Matthew, Martin, David, Talpey, Scott, Scanlan, Aaron, Delaney, Jace, Halson, Shona, Weakley, Jonathon

  • Authors: Morrison, Matthew , Martin, David , Talpey, Scott , Scanlan, Aaron , Delaney, Jace , Halson, Shona , Weakley, Jonathon
  • Date: 2022
  • Type: Text , Journal article , Review
  • Relation: Sports Medicine Vol. 52, no. 7 (2022), p. 1491-1532
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  • Description: Background: As basketball match-play requires players to possess a wide range of physical characteristics, many tests have been introduced in the literature to identify talent and quantify fitness in various samples of players. However, a synthesis of the literature to identify the most frequently used tests, outcome variables, and normative values for basketball-related physical characteristics in adult male basketball players is yet to be conducted. Objective: The primary objectives of this systematic review are to (1) identify tests and outcome variables used to assess physical characteristics in adult male basketball players across all competition levels, (2) report a summary of anthropometric, muscular power, linear speed, change-of-direction speed, agility, strength, anaerobic capacity, and aerobic capacity in adult male basketball players based on playing position and competition level, and (3) introduce a framework outlining recommended testing approaches to quantify physical characteristics in adult male basketball players. Methods: A systematic review of MEDLINE, PubMed, SPORTDiscus, Scopus, and Web of Science was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify relevant studies. To be eligible for inclusion, studies were required to: (1) be original research articles; (2) be published in a peer-reviewed journal; (3) have full-text versions available in the English language; and (4) include the primary aim of reporting tests used and/or the physical characteristics of adult (i.e., ≥ 18 years of age) male basketball players. Additionally, data from the top 10 draft picks who participated in the National Basketball Association combined from 2011–12 to 2020–21 were extracted from the official league website to highlight the physical characteristics of elite 19- to 24-year-old basketball players. Results: A total of 1684 studies were identified, with 375 being duplicates. Consequently, the titles and abstracts of 1309 studies were screened and 231 studies were eligible for full-text review. The reference list of each study was searched, with a further 59 studies identified as eligible for review. After full-text screening, 137 studies identified tests, while 114 studies reported physical characteristics in adult male basketball players. Conclusions: Physical characteristics reported indicate a wide range of abilities are present across playing competitions. The tests and outcome variables reported in the literature highlight the multitude of tests currently being used. Because there are no accepted international standards for physical assessment of basketball players, establishing normative data is challenging. Therefore, future testing should involve repeatable protocols that are standardised and provide outcomes that can be monitored across time. Recommendations for testing batteries in adult male basketball players are provided so improved interpretation of data can occur. Clinical Trial Registration: This review was registered with the International Prospective Register of Systematic Reviews and allocated registration number CRD42020187151 on 28 April, 2020. © 2022, The Author(s).

Mouse models for abdominal aortic aneurysm

- Golledge, Jonathan, Krishna, Smriti, Wang, Yutang

  • Authors: Golledge, Jonathan , Krishna, Smriti , Wang, Yutang
  • Date: 2022
  • Type: Text , Journal article , Review
  • Relation: British Journal of Pharmacology Vol. 179, no. 5 (2022), p. 792-810
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  • Description: Abdominal aortic aneurysm (AAA) rupture is estimated to cause 200,000 deaths each year. Currently, the only treatment for AAA is surgical repair; however, this is only indicated for large asymptomatic, symptomatic or ruptured aneurysms, is not always durable, and is associated with a risk of serious perioperative complications. As a result, patients with small asymptomatic aneurysms or who are otherwise unfit for surgery are treated conservatively, but up to 70% of small aneurysms continue to grow, increasing the risk of rupture. There is thus an urgent need to develop drug therapies effective at slowing AAA growth. This review describes the commonly used mouse models for AAA. Recent research in these models highlights key roles for pathways involved in inflammation and cell turnover in AAA pathogenesis. There is also evidence for long non-coding RNAs and thrombosis in aneurysm pathology. Further well-designed research in clinically relevant models is expected to be translated into effective AAA drugs. LINKED ARTICLES: This article is part of a themed issue on Preclinical Models for Cardiovascular disease research (BJP 75th Anniversary). To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v179.5/issuetoc. © 2020 The British Pharmacological Society

Network embedding : taxonomies, frameworks and applications

- Hou, Mingliang, Ren, Jing, Zhang, Da, Kong, Xiangjie, Zhang, Dongyu, Xia, Feng

  • Authors: Hou, Mingliang , Ren, Jing , Zhang, Da , Kong, Xiangjie , Zhang, Dongyu , Xia, Feng
  • Date: 2020
  • Type: Text , Journal article , Review
  • Relation: Computer Science Review Vol. 38, no. (2020), p.
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  • Description: Networks are a general language for describing complex systems of interacting entities. In the real world, a network always contains massive nodes, edges and additional complex information which leads to high complexity in computing and analyzing tasks. Network embedding aims at transforming one network into a low dimensional vector space which benefits the downstream network analysis tasks. In this survey, we provide a systematic overview of network embedding techniques in addressing challenges appearing in networks. We first introduce concepts and challenges in network embedding. Afterwards, we categorize network embedding methods using three categories, including static homogeneous network embedding methods, static heterogeneous network embedding methods and dynamic network embedding methods. Next, we summarize the datasets and evaluation tasks commonly used in network embedding. Finally, we discuss several future directions in this field. © 2020 Elsevier Inc.

Midwives’ experiences of facilitating informed decision-making – a narrative literature review

- Kloester, Joy, Willey, Suzanne, Hall, Helen, Brand, Gabrielle

  • Authors: Kloester, Joy , Willey, Suzanne , Hall, Helen , Brand, Gabrielle
  • Date: 2022
  • Type: Text , Journal article , Review
  • Relation: Midwifery Vol. 109, no. (2022), p.
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  • Description: Background: Informed decision-making is a vital component of midwifery philosophy and a core recommendation of the global respectful maternity care charter; however, women and midwives report a lack of informed decision-making in actual practice. Research reveals informed decision-making improves physical and mental health outcomes for women, regardless of childbearing experience, and is a protective factor for midwives’ job satisfaction. There is currently little known about midwives’ experiences of facilitating informed decision-making, and associated barriers. Objective: To critically appraise and synthesize the best qualitative evidence exploring midwives’ experiences of facilitating women's informed decision-making. Methods: A systematic search of key databases and grey literature for qualitative research in English language published between 2010-2019. Quality assessment followed CASP guidelines and this review is reported in accordance with PRISMA guidelines. Thirteen studies were included in the final review. Data were synthesised narratively. Results: Midwives were shown to have a strong desire to facilitate informed decision-making, yet reported a disparity between philosophy and practice due to multiple barriers. Barriers included; lack of specific knowledge and training, fear of blame and litigation, structural constraints including lack of time and fragmented models of midwifery care, and multidisciplinary philosophical disparities. Conclusion: Existing literature identifies informed decision-making is the gold-standard in providing safe and respectful maternity care, yet this review demonstrates that it is not well executed in actual practice. Midwives recognise this disparity and identify barriers which require urgent education, research, policy and practice solutions. © 2022

Practice nurses’ communication with people living with type 2 diabetes : a scoping review

- Hills, Sharon, Terry, Daniel, Gazula, Swapnali, Browning, Colette

  • Authors: Hills, Sharon , Terry, Daniel , Gazula, Swapnali , Browning, Colette
  • Date: 2022
  • Type: Text , Journal article , Review
  • Relation: Patient Education and Counseling Vol. 105, no. 8 (2022), p. 2664-2670
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  • Description: Objective: To identify the key characteristics of practice nurses’ communication with people living with Type 2 Diabetes (T2D) where lifestyle activities are discussed. Methods: A scoping review of the peer-reviewed literature was conducted. Reflexive thematic analysis was used to identify key themes that emerged. The PRISMA-ScR checklist was followed. Results: 25 studies were retained in the final review. Nurses who were committed to engaging in lifestyle discussions created supportive environments and built rapport to enable change conversations. However, this was present in just 20% of the studies. In most studies, (60%) nurses continued to use traditional health education communication styles, had little understanding of behaviour change theories, lacked skills in behaviour change counselling and were reluctant to engage in behaviour change discussions with people with T2D. Conclusions: Nurses require a deeper understanding of behavioural change theories and skills in behavioural counselling. Practice implications: Practice nurses have a unique opportunity to facilitate T2D remission by engaging in evidence-based behaviour change communication. A behaviour change training intervention is needed that recognises the environment of practice nurse consultations. It needs to be pragmatic and fully consider the enablers and barriers to addressing behaviour change in both the nurse and the person with T2D. © 2022

Advances in the thermo-chemical production of hydrogen from biomass and residual wastes : summary of recent techno-economic analyses

- Shahabuddin, M., Krishna, Bhuvya, Bhaskar, Thallada, Perkins, Greg

  • Authors: Shahabuddin, M. , Krishna, Bhuvya , Bhaskar, Thallada , Perkins, Greg
  • Date: 2020
  • Type: Text , Journal article , Review
  • Relation: Bioresource Technology Vol. 299, no. (2020), p.
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  • Description: This article outlines the prospects and challenges of hydrogen production from biomass and residual wastes, such as municipal solid waste. Recent advances in gasification and pyrolysis followed by reforming are discussed. The review finds that the thermal efficiency of hydrogen from gasification is ~50%. The levelized cost of hydrogen (LCOH) from biomass varies from ~2.3–5.2 USD/kg at feedstock processing scales of 10 MWth to ~2.8–3.4 USD/kg at scales above 250 MWth. Preliminary estimates are that the LCOH from residual wastes could be in the range of ~1.4–4.8 USD/kg, depending upon the waste gate fee and project scale. The main barriers to development of waste to hydrogen projects include: waste pre-treatment, technology maturity, syngas conditioning, the market for clean hydrogen, policies to incentivize pioneer projects and technology competitiveness. The main opportunity is to produce low cost clean hydrogen, which is competitive with alternative production routes. © 2019 Elsevier Ltd

Indicators of job quality in the Australian aged care workforce : a scoping review

- Carnemolla, Phillippa, Taylor, Philip, Gringart, Eyal, Adams, Claire

  • Authors: Carnemolla, Phillippa , Taylor, Philip , Gringart, Eyal , Adams, Claire
  • Date: 2022
  • Type: Text , Journal article , Review
  • Relation: Australasian Journal on Ageing Vol. 41, no. 2 (2022), p. e94-e102
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  • Description: Objective: As governments grapple with ageing populations, there is a need to understand more about the aged care workforce and how it is managed. Methods: We undertook a scoping review according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. Scopus and PubMed were used to identify papers published between 2010 and 2020. We mapped the breadth and scale of the evidence base according to the QuInnE indicators of job quality. Results: Out of 642 titles and abstracts that were screened, 122 were selected. Outcomes were measured across a range of domains, including wages, employment quality, education and training, working conditions, work/life balance and consultative participation and collective representation. These were distributed unevenly, revealing evidence gaps. Conclusions: We identified significant knowledge gaps regarding Australia's aged care workforce at a time when the sector is coming under fresh scrutiny and projections indicate that it will face critical labour shortfalls going forward. © 2021 AJA Inc.

Biosorption of heavy metals from aqueous solution by various chemically modified agricultural wastes : a review

- Syeda, Hina, Sultan, Ibrahim, Razavi, Kamal, Yap, Pow-Seng

  • Authors: Syeda, Hina , Sultan, Ibrahim , Razavi, Kamal , Yap, Pow-Seng
  • Date: 2022
  • Type: Text , Journal article , Review
  • Relation: Journal of Water Process Engineering Vol. 46, no. (2022), p.
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  • Description: In recent years, with the global increase in industrialization, there has been a significant increase in the amount of toxic pollutants such as heavy metals being released into water bodies. Adsorption is considered as one of the most attractive methods due to its high efficiency and ability to remove heavy metals even at low concentration. Agricultural wastes-based biosorbents have attracted great interest due to their capability to effectively remove heavy metals from wastewater. Chemical modifications on biosorbents can significantly improve the biosorption capacities and the longevity of the biosorbents. Most of the adsorption studies followed the Langmuir and Freundlich adsorption isotherm models. The pseudo-second-order kinetic model best fitted most of the adsorption kinetic studies. Moreover, ion exchange, electrostatic attraction and chelation were the governing adsorption mechanisms in most of the studies. The adsorption process was usually spontaneous and endothermic in nature. The regeneration of biosorbents was most effective when acids were used as eluents and this had allowed some biosorbents to be reused efficiently up to 10 times. To elucidate a practical perspective, analysis on column studies, adsorption performance using industrial wastewater, and cost analysis had been conducted. Cost analysis proved that agricultural wastes-based biosorbents are cheaper than traditional adsorbents such as activated carbon. © 2021 Elsevier Ltd

Expanding collaborative autoethnography into the world of natural science for transdisciplinary teams

- Haeffner, Melissa, Hames, Fern, Barbour, Margaret, Reeves, Jessica, Platell, Ghislaine, Grover, Samantha

  • Authors: Haeffner, Melissa , Hames, Fern , Barbour, Margaret , Reeves, Jessica , Platell, Ghislaine , Grover, Samantha
  • Date: 2022
  • Type: Text , Journal article , Review
  • Relation: One Earth Vol. 5, no. 2 (2022), p. 157-167
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  • Description: Wicked problems such as climate change and the COVID-19 pandemic require authentically transdisciplinary approaches to achieving effective collaboration. There exist several research approaches for identifying the components and interactions of complex problems; however, collaborative autoethnography provides an empirical way to collect and analyze self-reflection that leads to transformative change. Here, we present a case study of collaborative autoethnography, applied as a tool to transform research practice among a group of natural and social scientists, by constructively revealing and resolving deep, often unseen, disciplinary divides. We ask, “How can natural and social scientists genuinely accept, respect, and share one another's approaches to work on the wicked problems that need to be solved?” This study demonstrates how disciplinary divisions can be successfully bridged by open-minded and committed collaborators who are prepared to recognize the academic bias they bring to their research and use this as a platform of strength. © 2022 Elsevier Inc.

Equity in healthcare resource allocation decision making : a systematic review

- Lane, Haylee, Sarkies, Mitchell, Martin, Jennifer, Haines, Terry

  • Authors: Lane, Haylee , Sarkies, Mitchell , Martin, Jennifer , Haines, Terry
  • Date: 2017
  • Type: Text , Journal article , Review
  • Relation: Social Science and Medicine Vol. 175, no. (2017), p. 11-27
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  • Description: Objective To identify elements of endorsed definitions of equity in healthcare and classify domains of these definitions so that policy makers, managers, clinicians, and politicians can form an operational definition of equity that reflects the values and preferences of the society they serve. Design Systematic review where verbatim text describing explicit and implicit definitions of equity were extracted and subjected to a thematic analysis. Data sources The full holdings of the AMED, CINAHL plus, OVID Medline, Scopus, PsychInfo and ProQuest (ProQuest Health & Medical Complete, ProQuest Nursing and Allied Health Source, ProQuest Social Science Journals) were individually searched in April 2015. Eligibility criteria for selecting studies Studies were included if they provided an original, explicit or implicit definition of equity in regards to healthcare resource allocation decision making. Papers that only cited earlier definitions of equity and provided no new information or extensions to this definition were excluded. Results The search strategy yielded 74 papers appropriate for this review; 60 of these provided an explicit definition of equity, with a further 14 papers discussing implicit elements of equity that the authors endorsed in regards to healthcare resource allocation decision making. Five key themes emerged i) Equalisation across the health service supply/access/outcome chain, ii) Need or potential to benefit, iii) Groupings of equalisation, iv) Caveats to equalisation, and v) Close enough is good enough. Conclusions There is great inconsistency in definitions of equity endorsed by different authors. Operational definitions of equity need to be more explicit in addressing these five thematic areas before they can be directly applied to healthcare resource allocation decisions. © 2016 Elsevier Ltd

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).

Lean Six Sigma in financial services industry : a systematic review and agenda for future research

- Vashishth, Abhishek, Chakraborty, Ayon, Antony, Jiju

  • Authors: Vashishth, Abhishek , Chakraborty, Ayon , Antony, Jiju
  • Date: 2019
  • Type: Text , Journal article , Review
  • Relation: Total Quality Management and Business Excellence Vol. 30, no. 3-4 (2019), p. 447-465
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  • Description: The purpose of this paper is to explore the trend and most common themes about Lean Six Sigma (LSS) implementation in the finance sector, and also to identify gaps in the themes that may be preventing organisations from identifying benefits from their LSS strategy and developing an agenda for future research on LSS themes. The following research is based on a systematic literature review of 30 papers that were published on LSS in the finance sector, from 2005 to 2015. Many issues and important themes have emerged, which are benefits, motivation factors, limitations and reasons for implementing LSS in financial organisations. Review identified many gaps and limitations that need to be explored as future research since little have been written on LSS as a holistic strategy for business improvement. It is important for practitioners to be aware of LSS benefits, limitations and motivating factors before starting the implementation process. This paper is based on a comprehensive literature review which gives an opportunity to LSS researchers to understand some common themes about LSS implementation in depth. In addition, by highlighting gaps in the current literature and proposing an agenda for future research saves time and effort for readers looking to research topics within LSS. © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.

Deep learning and big data technologies for IoT security

- Amanullah, Mohamed, Habeeb, Riyaz, Nasaruddin, Fariza, Gani, Abdullah, Ahmed, Ejaz, Nainar, Abdul, Akim, Nazihah, Imran, Muhammad

  • Authors: Amanullah, Mohamed , Habeeb, Riyaz , Nasaruddin, Fariza , Gani, Abdullah , Ahmed, Ejaz , Nainar, Abdul , Akim, Nazihah , Imran, Muhammad
  • Date: 2020
  • Type: Text , Journal article , Review
  • Relation: Computer Communications Vol. 151, no. (2020), p. 495-517
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  • Description: Technology has become inevitable in human life, especially the growth of Internet of Things (IoT), which enables communication and interaction with various devices. However, IoT has been proven to be vulnerable to security breaches. Therefore, it is necessary to develop fool proof solutions by creating new technologies or combining existing technologies to address the security issues. Deep learning, a branch of machine learning has shown promising results in previous studies for detection of security breaches. Additionally, IoT devices generate large volumes, variety, and veracity of data. Thus, when big data technologies are incorporated, higher performance and better data handling can be achieved. Hence, we have conducted a comprehensive survey on state-of-the-art deep learning, IoT security, and big data technologies. Further, a comparative analysis and the relationship among deep learning, IoT security, and big data technologies have also been discussed. Further, we have derived a thematic taxonomy from the comparative analysis of technical studies of the three aforementioned domains. Finally, we have identified and discussed the challenges in incorporating deep learning for IoT security using big data technologies and have provided directions to future researchers on the IoT security aspects. © 2020 Elsevier B.V.

Real-time big data processing for anomaly detection : a survey

- Ariyaluran Habeeb, Riyaz, Nasaruddin, Fariza, Gani, Abdullah, Targio Hashem, Ibrahim, Ahmed, Ejaz, Imran, Muhammad

  • Authors: Ariyaluran Habeeb, Riyaz , Nasaruddin, Fariza , Gani, Abdullah , Targio Hashem, Ibrahim , Ahmed, Ejaz , Imran, Muhammad
  • Date: 2019
  • Type: Text , Journal article , Review
  • Relation: International Journal of Information Management Vol. 45, no. (2019), p. 289-307
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  • Description: The advent of connected devices and omnipresence of Internet have paved way for intruders to attack networks, which leads to cyber-attack, financial loss, information theft in healthcare, and cyber war. Hence, network security analytics has become an important area of concern and has gained intensive attention among researchers, off late, specifically in the domain of anomaly detection in network, which is considered crucial for network security. However, preliminary investigations have revealed that the existing approaches to detect anomalies in network are not effective enough, particularly to detect them in real time. The reason for the inefficacy of current approaches is mainly due the amassment of massive volumes of data though the connected devices. Therefore, it is crucial to propose a framework that effectively handles real time big data processing and detect anomalies in networks. In this regard, this paper attempts to address the issue of detecting anomalies in real time. Respectively, this paper has surveyed the state-of-the-art real-time big data processing technologies related to anomaly detection and the vital characteristics of associated machine learning algorithms. This paper begins with the explanation of essential contexts and taxonomy of real-time big data processing, anomalous detection, and machine learning algorithms, followed by the review of big data processing technologies. Finally, the identified research challenges of real-time big data processing in anomaly detection are discussed. © 2018 Elsevier Ltd