Topical Review Research Articles

Inflammatory pathway communication with skeletal muscle-Does aging play a role? A topical review of the current evidence.

Skeletal muscle plays an integral role in locomotion, but also as part of the integrative physiological system. Recent progress has identified crosstalk between skeletal muscle and various physiological systems, including the immune system. Both the musculoskeletal and immune systems are impacted by aging. Increased age is associated with decreased muscle mass and function, while the immune system undergoes "inflammaging" and immunosenescence. Exercise is identified as a preventative medicine that can mitigate loss of function for both systems. This review summarizes: (1) the inflammatory pathways active in skeletal muscle; and (2) the inflammatory and skeletal muscle response to unaccustomed exercise in younger and older adults. Compared to younger adults, it appears older individuals have a muted pro-inflammatory response and elevated anti-inflammatory response to exercise. This important difference could contribute to decreased regeneration and recovery following unaccustomed exercise in older adults, as well as in chronic disease. The current research provides specific information on the role inflammation plays in altering skeletal muscle form and function, and adaptation to exercise; however, the pursuit of more knowledge in this area will delineate specific interventions that may enhance skeletal muscle recovery and promote resiliency in this tissue particularly with aging.

Bibliometric Analysis of AI Technology Developments in Education: Trends, Collaborations, and Future Impact

This study employs bibliometric analysis to explore the landscape of artificial intelligence (AI) applications in education. Through an extensive review of thematic clusters, research trends, author collaborations, and potential future research topics, the study maps the evolution and current state of AI in educational settings. Key findings indicate a robust focus on integrating AI within higher education and a significant emphasis on educational technology across various specialized domains. Temporal analysis reveals a progressive shift toward exploring advanced topics such as generative AI, reflecting the field's rapid adaptation to new technological advancements. Additionally, the author collaboration network illustrates a vibrant and interconnected academic community, while also identifying less explored areas like language education and AI in art education as promising fields for future research. The study highlights the dynamic nature of AI research in education, showcasing both the depth of current integrations and the potential for innovative applications that could further transform educational practices.

Community Engagement, Equity, and Cross-Sector Public Health Practice.

In this topical review, we integrate 3 concepts-public health practice, community engagement, and cross-sector governance-to consider the following question: What is the underlying relationship between public health and cross-sector governance according to which the field can understand the role of community engagement in achieving health equity? We begin with an overview of public health practice and the practice of community engagement. Next, we position these practices in the broader turn toward cross-sector governance. The integration of these themes reveals that common tools for community engagement fail to address questions about how services should be funded, how resources should be distributed, and which members of the community have a claim to services. We therefore suggest that distinguishing between community engagement for equity and equitable community engagement is a first step toward deepening dialogue about the role of public health in achieving health equity.

Advancing Evidence-Based Public Health Policy: How Core Component Thinking Can Illuminate the Multilevel Nature of Public Health Policy.

A growing body of literature uses the concept of core components to better understand small-scale programmatic interventions. Instead of interventions being viewed as unitary "black boxes," interventions are viewed as configurations of core components, which are the parts of interventions that carry their causal potential and therefore need to be reproduced with fidelity to produce the intended effect. To date, the concept of core components has not been as widely applied to public health policy interventions as it has to programmatic interventions. The purpose of this topical review is to familiarize public health practitioners and policy makers with the concept of core components as applied to public health policy interventions. Raising the profile of core component thinking can foster mindful adaptation and implementation of public health policy interventions while encouraging further research to enhance the supporting evidence base. We present 3 types of multilevel interactions in which the core components of a public health policy intervention produce effects at the population level by (1) seeking to directly affect individual behavior, (2) facilitating adoption of programmatic interventions by intermediaries, and (3) encouraging intermediaries to take action that can shape changes in upstream drivers of population health. Changing the unit of analysis from whole policies to core components can provide a basis for understanding how policies work and for facilitating novel evidence-generating strategies and rapid evidence reviews that can inform future adaptation efforts.

Contribution to the harm assessment of darknet markets: topic modelling drug reviews on Dark0de Reborn

Amid the global opioid crisis, the volume of drug trade via darknet markets has risen to an all-time high. The steady increase can be explained by the reliable operation of darknet markets, affected by community-building trust factors reducing the risks during the process of the darknet drug trade. This study was designed to explore the risk reduction efforts of the community of a selected darknet market and therefore contribute to the harm assessment of darknet markets. We performed Latent Dirichlet Allocation topic modelling on customer reviews of drug products (n = 25,107) scraped from the darknet market Dark0de Reborn in 2021. We obtained a model resulting in 4 topics (coherence score = 0.57): (1) feedback on satisfaction with the transaction; (2) report on order not received; (3) information on the quality of the product; and (4) feedback on vendor reliability. These topics identified in the customer reviews suggest that the community of the selected darknet market implemented a safer form of drug supply, reducing risks at the payment and delivery stages and the potential harms of drug use. However, the pitfalls of this form of community-initiated safer supply support the need for universally available and professional harm reduction and drug checking services. These findings, and our methodological remarks on applying text mining, can enhance future research to further examine risk and harm reduction efforts across darknet markets.

Ancient and historical cooking pots and food: an eternal communion. A topical review

AbstractThis contribution provides a topical view at and review of traditional clay‐based utilitarian cooking pots that were used for millennia to prepare, serve, display, and distribute foodstuff. Key mechanical and thermal properties of ceramic cooking vessels will be discussed and strategies of property optimization outlined. In addition, some important chemical changes food constituents undergo during cooking will be explained. Mass‐produced ancient ceramic cooking pots from Neolithic Mesopotamia have revolutionized the art of cooking by allowing foodstuff to be processed in water. As an example of successfully optimizing the properties of cooking vessels, emphasis is being given to Indigenous prehistoric North American ware of the Mississippian culture (c. 800 to 1600 CE) that show impressively how ancient potters overcame the technological challenges posed by essentially unsuitable smectite‐rich clays with extreme plasticity and high swell–shrink ratio by adding copious amounts of burnt mussel shells as temper material.

An Online Hotel Selection Method With Three-Dimensional Analysis of Reviews' Helpfulness

The multi-attribute decision-making method based on online reviews has been widely used in addressing the hotel selection problem. However, due to information overload and the presence of fake reviews, traditional hotel selection methods that rely solely on unverified review analysis can affect the outcome of hotel selections. In this study, a novel three-dimensional helpful review analysis model based multi-attribute decision-making approach for hotel selection is established. Firstly, a new three-dimensional helpful review analysis model that effectively filters out sentiment inconsistency reviews, topic inconsistency reviews, and reviews from invalid sources is proposed. Secondly, this study employs TF-IDF and LDA to extract attributes for hotel selection. We further utilize BERT to extract sentiment level for each attribute. Then, a ranking result for alternative hotels is obtained using a combination compromise solution method (CoCoSo). Finally, we demonstrate its effectiveness and feasibility through a case study of selecting the optimal hotel from TripAdvisor.com.

Artificial intelligence applied to MRI data to tackle key challenges in multiple sclerosis.

Artificial intelligence (AI) is the branch of science aiming at creating algorithms able to carry out tasks that typically require human intelligence. In medicine, there has been a tremendous increase in AI applications thanks to increasingly powerful computers and the emergence of big data repositories. Multiple sclerosis (MS) is a chronic autoimmune condition affecting the central nervous system with a complex pathogenesis, a challenging diagnostic process strongly relying on magnetic resonance imaging (MRI) and a high and largely unexplained variability across patients. Therefore, AI applications in MS have the great potential of helping us better support the diagnosis, find markers for prognosis to eventually design more powerful randomised clinical trials and improve patient management in clinical practice and eventually understand the mechanisms of the disease. This topical review aims to summarise the recent advances in AI applied to MRI data in MS to illustrate its achievements, limitations and future directions.

Nanostructured binary transition-metal-sulfides and nanocomposites as high-performance electrodes for hybrid supercapacitors

Supercapacitors (SCs) are attractive as promising energy storage devices because of their distinctive attributes, such as high power density, good current charge/discharge ability, excellent cyclic stability, reasonable safety, and low cost. Electrode materials play key roles in achieving excellent performance of these SCs. Among them, binary transition metal sulfides (BTMSs) have received significant attention, attributed to their high conductivity, abundant active sites, and excellent electrochemical properties. This topic review aims to summarize recent advances in principles, design, and evaluation of the electrochemical performance for nanostructured BTMSs (including nickel–cobalt sulfides, zinc–cobalt sulfides, and copper–cobalt sulfides.) and their nanocomposites (including those carbon nanomaterials, transition metal oxides, binary transition metal oxides, transition metal sulfides, and polymers). Nanostructuring of these BTMSs and nanocomposites as well as their effects on the performance were discussed, including nanoparticles, nanospheres, nanosheets, nanowires, nanorods, nanotubes, nanoarrays, and hierarchitectured nanostructures. Their electrochemical performance has further been reviewed including specific capacitance, conductivity, rate capability, and cycling stability. In addition, the performance of hybrid supercapacitors (HSCs) assembled using the nanostructured BTMSs as the cathodes also have been summarized and compared. Finally, challenges and further prospects in the HSCs-based BTMS electrodes are presented.

Recent Advances in Self-Assembled Molecular Application in Solar Cells.

Perovskite solar cells (PSCs) have attracted much attention due to their low cost, high efficiency, and solution processability. With the development of various materials in perovskite solar cells, self-assembled monolayers (SAMs) have rapidly become an important factor in improving power conversion efficiency (PCE) due to their unique physical and chemical properties and better energy level matching. In this topical review, we introduced important categories of self-assembled molecules, energy level modulation strategies, and various characteristics of self-assembled molecules. In addition, we focused on reviewing the application of self-assembled molecules in solar cells, and explained the changes that self-assembled molecules bring to PSCs by introducing the mechanism and effect of self-assembled molecules. Finally, we also elaborated on the challenges currently faced by self-assembled molecules and provided prospects for their applications in other optoelectronic devices.

Prehabilitation: The underutilised weapon for chronic pain management.

Prehabilitation encompasses preparatory clinical intervention(s) delivered during the period between diagnosis and treatment commencement. Despite widespread successful usage preoperatively, psychological prehabilitation is neglected in outpatient chronic pain management. Although pain management waitlists are associated with treatment attrition and psychological and physical decline, this time window is underutilised in preventing escalation. Waitlists present an under-explored opportunity to 'prehabilitate' patients waiting for treatment. This topical review aimed to: (1) examine the effectiveness of psychological prehabilitation for pain services; (2) evaluate the psychological and physical decline associated with waiting for pain management; (3) highlight key psychological prehabilitative targets for increasing treatment engagement; (4) promote pain management psychological prehabilitation within personalised pain medicine, building recommendations for future interventions. Studies regarding the impact of waitlists and prehabilitation for chronic pain were reviewed. Findings demonstrated that the psychological constructs of patient expectations, health locus of control, self-efficacy and pain catastrophizing dynamically influence attrition, treatment engagement and outcomes while waiting. These constructs are amenable to change, emphasising their potential utility within a targeted waitlist intervention. Prehabilitating chronic pain patients towards treatment engagement could circumvent cycles of failed treatment seeking, preventing psychological and physical decline, and reducing healthcare utilisation. Utilising the waitlist to identify psychosocial risk factors (external health locus of control, low self-efficacy and high pain catastrophizing) would identify who requires additional support to prevent increased risk of treatment failure, enhancing personalised care before prescribed treatment is accessed. This review cements the urgent need for pain services to engage proactively with prehabilitation innovation.

Evolutionary impacts of artificial intelligence in healthcare managerial literature. A ten-year bibliometric and topic modeling review

BackgroundIn the last five years, there has been an accelerated growth in the scientific production about Artificial Intelligence and Healthcare by Scholars of the most diverse disciplines. Recently, the scientific corpus has been enriched with considerable literature reviews ranging from the overview of large collections of scientific documents to the recognition of the state of knowledge on specific aspects (e.g., in the medical field, ophthalmology, cardiology, nephrology, etc.). MethodsThe methodological approaches belong to the scientific fields of bibliometrics and topic modeling. Following a bibliometric analysis of the literature on the subject, conducted on a vast collection of scientific contributions, we also searched for the "latent" themes in the semantic structures of these documents, identified the relationships between them and recognized the most likely to be investigated in the future. ResultsResults show 24 topics about future trends in literature review connecting the field of AI and Healthcare. ConclusionsThis bibliometric review of the literature on artificial intelligence and healthcare allows identifying of some privileged areas of attention by scholars of different disciplines. However, it also reveals the limits of hard clustering techniques, as demonstrated by the presence of some keywords in several groups. The numerous existing reviews must be integrated by reviews based on Topic Modeling techniques, which make it possible to identify topics, historical trends (classical and emerging topics), associations between the documents and to predict, on a probabilistic basis, which scientific fields will be most likely to see development in the future.

Interlinking electronic band properties in catalysts with electrochemical nitrogen reduction performance: a direct influence

Abstract The wordwide energy demands and the surge towards a net-zero sustainable society let the researchers set a goal towards the end of carbon cycle. This has enormously exaggerated the electrocatalytic processes such as water splitting, CO2 capture and reduction and nitrogen reduction reaction (NRR) as a safe and green alternative as these involve the utilization of renewable green power. Interestingly, the NH3 produced from NRR has been realized as a future fuel in terms of safer green H2 storage and transportation. Nevertheless, to scale up the NH3 production electrochemically, a benevolent catalyst needs to be developed. More interestingly, the electronic features of the catalyst that actually contribute to the interaction and binding between the adsorbate and reaction intermediates should be analyzed such that these can be tuned based on our requirements to obtain the desired high-standard goals of NH3 synthesis. The current topical review aims to provide an illustrative understanding on the experimental and theoretical descriptors that are likely to influence the electronic structure of catalysts for NRR. We have widely covered a detailed explanation regarding work function, d-band center and electronic effect on the electronic structures of the catalysts. While summarizing the same, we realized that there are several discrepancies in this field, which have not been discussed and could be misleading for the newcomers in the field. Thus, we have briefed the limitations and diverging explanations and have provided a few directions that could be looked upon to overcome the issues.

A Topical Review on Container-Based Cloud Revolution: Multi-Directional Challenges, and Future Trends

A Topical Review on Container-Based Cloud Revolution: Multi-Directional Challenges, and Future Trends

Uncommon Causes of Nontraumatic Intracerebral Hemorrhage.

Nontraumatic intracerebral hemorrhage is an important health issue. Although common causes such as hypertension and cerebral amyloid angiopathy predominantly affect the elderly, there exists a spectrum of uncommon etiologies that contribute to the overall incidence of intracerebral hemorrhage. The identification of these rare causes is essential for targeted clinical management, informed prognostication, and strategic secondary prevention where relevant. This topical review explores the uncommon intracerebral hemorrhage causes and provides practical clues for their clinical and imaging identification. By expanding the clinician's differential diagnosis, this review aims to bridge the gap between standard intracerebral hemorrhage classification systems and the nuanced reality of clinical practice.

Science Learning Accompanied By Formative Assessment: A Literature Review

21st century learning requires students to have critical thinking skills, creative, collaboration and communication. These 21st century skills are acquired from the learning process and assessed through formative assessment. Formative assessment is carried out during the learning process. Researchers conducted a literature review review of formative assessment topics. Literature study data were taken from Google Scholar and ERIC in 2015-2023. The articles obtained were as many as 20 articles and then grouped by year of publication, subject, research design and research object. The results of the study showed that the most scientific publications of articles were found in 2019-2020. This formative assessment is widely used in physics subjects. This study uses a lot of quasi-experimental designs. The object of research is widely used on students' conceptual understanding abilities.

Climate Change and Stroke: A Topical Narrative Review.

The impacts of accumulating atmospheric greenhouse gases on the earth's climate are now well established. As a result, there have been increases in ambient temperatures and resultant higher frequency and duration of temperature extremes and other extreme weather events, which have been linked to a wide range of adverse health outcomes. This topical narrative review provides a summary of published evidence on the links between climate change and stroke. There is consistent evidence of associations between stroke incidence and mortality and increasing ambient temperature and air pollution. Associations have also been shown for changes in barometric pressure, wildfires, and desert dust and sandstorms, but current evidence is limited. Flooding and other extreme weather events appear to primarily cause service disruption, but more direct links to stroke may emerge. Synergies between dietary changes that reduce stroke risk and may also reduce carbon footprint are being explored. We also discuss the impact on vulnerable populations, proposed pathophysiologic mechanisms, mitigation strategies, and current research priorities. In conclusion, climate change increasingly impacts the stroke community, warranting elevated attention.

A Topical Review on Enabling Technologies for the Internet of Medical Things: Sensors, Devices, Platforms, and Applications.

The Internet of Things (IoT) is still a relatively new field of research, and its potential to be used in the healthcare and medical sectors is enormous. In the last five years, IoT has been a go-to option for various applications such as using sensors for different features, machine-to-machine communication, etc., but precisely in the medical sector, it is still lagging far behind compared to other sectors. Hence, this study emphasises IoT applications in medical fields, Medical IoT sensors and devices, IoT platforms for data visualisation, and artificial intelligence in medical applications. A systematic review considering PRISMA guidelines on research articles as well as the websites on IoMT sensors and devices has been carried out. After the year 2001, an integrated outcome of 986 articles was initially selected, and by applying the inclusion-exclusion criterion, a total of 597 articles were identified. 23 new studies have been finally found, including records from websites and citations. This review then analyses different sensor monitoring circuits in detail, considering an Intensive Care Unit (ICU) scenario, device applications, and the data management system, including IoT platforms for the patients. Lastly, detailed discussion and challenges have been outlined, and possible prospects have been presented.

Soil science research in Brazilian terrestrial biomes: A review of evolution, collaboration, current topics, and impact

Soil science research in Brazilian terrestrial biomes: A review of evolution, collaboration, current topics, and impact

What do we know about Indigenous Peoples with low back pain around the world? A topical review.

Low back pain (LBP) represents a worldwide burden with rising disability, especially in low- and middle-income countries. Indigenous Peoples are exposed to many risk factors for LBP and seem to have overall worse health and higher mortality compared to non-Indigenous. This article aims to provide a topical overview of LBP in Indigenous Peoples. A comprehensive search was done using the keywords "Indigenous" and "back pain." Secondly, a cross-reference search of the citations list of the included articles was conducted. LBP is a prevalent, disabling health condition among Indigenous Peoples that impacts activities of daily living, emotional well-being, and cultural identity. Indigenous Peoples face numerous and unique barriers to obtain Western health care. LBP in Indigenous Peoples is partly iatrogenic and available health care lacks a culturally secure setting. In combination with racism and discrimination by health care providers, this leads to miscommunication, frustration, and poor outcome in Indigenous patients around the world. Contextual considerations and interpretation of findings within the appropriate cultural context are needed in future research and treatment of LBP in Indigenous Peoples. However, our literature analysis exhibits disproportionate representation with the scarcity of studies of Indigenous Peoples of Asia and Africa. Addressing this gap in the literature could provide significant scientific value. Indigenous Peoples should not be forgotten in reducing the global burden for LBP.