Literature Review Process Research Articles

Identifying criteria for prioritizing process transformation projects

Purpose – Considering that diverse processes and peculiarities are found across organizations, defining which processes are best suited for prioritization in improvement or transformation projects is vital. The aim of this study was to identify in the literature possible criteria to be considered when making decisions regarding the prioritization of processes to be included in the transformation activities of organizations. Design/methodology/approach – The present research, classified as qualitative and applied, has adopted the literature review process with the aim of identifying and analyzing articles drawn from the Web of Science, Scopus and Scielo databases relating to process prioritization criteria in transformation projects. Findings – A total of 24 criteria for decision-making when prioritizing processes in improvement and transformation projects were identified. The criteria were classified into 5 categories (strategy, financial, quality, impact on customers, and efficiency), and a generic hierarchical structure based on the AHP (Analytic Hierarchy Process) for multi-criteria decision-making is proposed. Originality/Value – Although no universal criteria were identified in the literature that could be adopted by any given organization, significant relevance was noted in terms of the strategic aspects of organizations. The generic structure proposed, establishing criteria and macro-criteria, can be adapted by specialists or AHP practitioners, depending on the type of organization or application environment. Keywords: Prioritization; Multicriteria; Process; Improvement; Transformation.

Modeling Framework for the Assessment of a Sustainable Hydrogen Production and Supply Chain Network in California

The cost-effective and sustainable deployment of hydrogen supply and demand networks, especially in large economic regions like California, can be challenging considering the spatial-temporal availability and variability of the different actors across the network such as production processes, distribution modes, and end-users. In this presentation, we will provide an overview and demonstration of a modeling framework used to assess the environmental, economic, and human health impacts of plausible hydrogen production and supply chain networks in California. Scenarios focus on green hydrogen production pathways using water electrolysis and biomass gasification. End-use applications included in the model are transit, medium and heavy-duty trucking, port authorities, and power and aviation companies that currently consume natural gas, diesel, and aviation fuel for their day-to-day operation. Representative locations for hydrogen production and end-use are based on recent projections of the hydrogen economy in California. All mass and energy flows, as well as estimated emissions, are based on H2A process model designs and projections of technology performance, literature review, and LBNL process, economic and life cycle modeling, and not on company data for the sake of this presentation. Human health impacts are included following methodologies developed for the University of California Irvine HyDeal project. Life cycle phases associated with hydrogen production include feedstock preparation (water and biomass), energy production and consumption (renewable, grid, and combination of renewable and grid electricity), maintenance (chemical utilization in electrolysis and natural gas combustion in gasification), carbon sequestration, hydrogen storage (compression and liquefaction), and distribution (truck and pipeline). We apply the framework utilizing California specific emission factors, financial data, and human health damages and explore the impact of network characteristics on results. Example variations include: the inclusion of policy incentives or not, different representations of the electricity grid and source, electrolysis versus gasification versus combinations of both for production, liquefaction versus compression based on producer capacity cutoffs, transportation truck versus pipeline based on existing infrastructure, and ultimate end use. Comparison of these different scenarios can help inform future projects by demonstrating the trade-offs among environmental, economic, and human health impacts. This model, automated in R, is a starting platform upon which new analysis, modeling capabilities, locations, and emission factors can be rapidly tested and integrated.

Minimum Essential Force (MEF) Strategy: A Systematic Literature Review in the Context of Globalization

The primary objective of this study is to perform a systematic analysis of research references associated with the Minimum Essential Force in the defense and security or military sector over the past decade (2013 to 2023). The current study examines the development trend of Minimum Essential Force research in these sectors using Google Scholar data. The current investigation employs qualitative research combined with the literature review process. It gathered data using the web crawling technique from the Google Scholar database. This study concludes that the volume of research on Minimum Essential Force from 2013 to 2023 can be described as consistently increasing. However, each article was published by a distinct journal. This phenomenon indicates that there is no established journal on this topic. In addition, development maps based on keyword co-occurrence are clustered into two categories. The research is limited by the content of the articles used, which were extracted from the Google Scholar database. In the future, in addition to conducting research with broader literature sources, the recommendations provided in this study can be used as hypotheses for in-depth, comprehensive subsequent studies. The findings of this study will likely be useful as a resource for scholars who wish to examine the Minimum Essential Force policy. The literature and bibliometric study on the issue of Minimum Essential Force is possibly the first systematic literature review carried out in Indonesia. Keywords: globalization, minimum essential force, systematic review, national army, military

Doctoral students’ reflections on generative artificial intelligence (GenAI) use in the literature review process

ABSTRACT Amidst discussions about the use of Generative AI (GenAI) for academic research, their potential for doctoral research or literature reviews is an area beginning to be explored. This qualitative study explores doctoral students’ perceptions of the value of GenAI tools in the literature review process. The analysis of 26 participants’ reflections on their exploration of three GenAI technologies revealed benefits and challenges for the literature review process. Participants highlighted the potential of these tools as complementary to traditional database searches presuming users possess prior information literacy and research skills. They also perceived several challenges such as inaccuracies, usability and privacy and emphasised the importance and indispensability of a human review. This study highlights the need for guidance and strategies for doctoral students on the appropriate and ethical integration of GenAI in literature reviews.

The Effects of Virtual Reality-Based Reminiscence Therapies for Older Adults With Cognitive Impairment: Systematic Review.

Reminiscence therapy (RT) is a commonly used nonpharmaceutical treatment for cognitive impairment. Artifacts or conversations are used in RT to recall individuals' memories and past experiences. Virtual reality (VR) has increasingly been used as an assistive technology during RT. However, the effects of VR-based RT (VR-RT) methods remain unclear, and insights into the related benefits and challenges are urgently needed. The study aims to systematically review the effects of VR-RTs for older adults with cognitive impairment. Seven databases (MEDLINE, Academic Search Premier, CINAHL, Web of Science, PubMed, the Cochrane Central Register of Controlled Trials, and ScienceDirect) were searched to identify relevant articles published from inception to August 10, 2023. Peer-reviewed publications that assessed the effect of VR-RTs (ie, using virtual clues to evoke participants' memories or past experiences) on cognitive-related outcomes were included. Two independent researchers conducted the literature search, review, and data extraction processes. A narrative synthesis approach was used to analyze the extracted data. Of the 537 identified articles, 22 were ultimately included in the data analysis. The results revealed that VR-RTs could maintain cognitive status (4/4, 100%) and reduce anxiety (2/2, 100%) in older adults with cognitive impairment. Nevertheless, one study found a cognitive improvement after VR-RTs, whereas cognitive degradation was observed at a 3- to 6-month follow-up measure. Around 88% (7/8) of the included studies indicated that VR-RTs improved memory; however, the evidence regarding the beneficial effects of VR-RTs was limited in improving quality of life (1/4, 25%) and reducing apathy (0/2, 0%) and depression (1/3, 33%). The results indicated that VR-RTs are safe, engaging, acceptable, and satisfying for older adults with cognitive impairment. In VR scenarios, personalized stimulus materials related to the users' youth experiences were more effective for treating cognitive impairment than other stimulus materials. The results of this systematic review demonstrate the potential benefits of VR-RT for older adults with cognitive impairment, especially in improving emotion and memory and maintaining cognitive status. VR-RT is also safe and enjoyable for older adults. However, due to the trial heterogeneity of included studies, we can only provide qualitative results instead of performing meta-analysis to quantify the effect size of VR-RTs. Thus, more randomized controlled trials are required to examine the designs and effects of VR-RTs for groups of older adults with specific needs.

Impact of Fractional Ablative Laser Therapy on Function, Symptoms, and Quality of Life in the Management of Traumatic Scars: A Review.

A substantial and expanding body of literature addresses the safety and efficacy of fractional ablative laser therapy for traumatic scarring resulting from burns and other trauma. However, available scar research commonly employs standardized assessment scales that generally do not directly address the impact on function and overall quality of life. Unlike past reviews, this manuscript will explore available evidence with a focus explicitly on function and quality of life (QoL) outcomes and de-emphasize surrogate outcome measures that rely primarily on visual characteristics. Through literature review conducted up to January 2024, the authors examined relevant studies focusing on function and quality of life outcomes in traumatic and burn scar management with fractional ablative laser therapy. PubMed, EMBASE, MEDLINE, and Cochrane Library were utilized as primary databases. Reference lists were secondarily reviewed to supplement the literature review process. Studies that did not highlight functional or QoL endpoints or were not in the English language were excluded. The reviewed studies demonstrated that fractional ablative therapy led to consistent significant and meaningful improvements in functional outcomes, relief from pruritus and pain, and overall enhancements in quality of life for patients with traumatic scarring. Adverse events associated with fractional ablative therapy were infrequent and generally of mild severity, indicating a favorable safety profile. The findings from this literature review document ample existing evidence supporting the efficacy and safety of fractional ablative therapy to enhance function, mobility, reduce pruritus and pain, and improve overall QoL. Fractional ablative laser therapy should be integrated more widely into standard management protocols. Given the previous reliance on standardized scar assessment tools that heavily integrate visual characteristics, future studies should prioritize functional and QoL outcomes to further advance scar management protocols and optimize patient care.

Advancements in natural language processing: Implications, challenges, and future directions

This research delves into the latest advancements in Natural Language Processing (NLP) and their broader implications, challenges, and future directions. With the ever-increasing volume of text data generated daily from diverse sources, extracting relevant and valuable information is becoming more complex. Conventional manual techniques for handling and examining written information are laborious and susceptible to mistakes, underscoring the necessity for effective automated alternatives. The advancements in Natural Language Processing (NLP), namely in transformer-based models and deep learning techniques, have demonstrated considerable potential in improving the precision and consistency of various NLP applications. This work presents a novel approach that combines systematic review methods with sophisticated NLP approaches to enhance the overall efficiency of NLP systems. The proposed strategy guarantees an organized and clear literature review process, resulting in more informative and contextually relevant results. The report examines NLP's implications, problems, and opportunities, providing significant insights that are anticipated to propel improvements in NLP technology and its application in many industries.

Gender and social entrepreneurship in turbulent waters: developing a gender-aware conceptual framework

PurposeThis paper identifies and maps themes and critiques emerging from feminist-informed and gender-focused mainstream entrepreneurship and social entrepreneurship (SE) literature. We aim to develop a robust, theoretically informed gender-aware framework for future SE research.Design/methodology/approachA five-stage literature review process was undertaken to identify the common themes, key knowledge gaps and areas of contention highlighted by feminist critiques of mainstream entrepreneurship and what we refer to here as the “critical SE literature”. We draw on a widely used framework of epistemological approaches to discuss the emergent themes, specifically utilising three dominant epistemologies previously found to map onto entrepreneurship policy, those being: “gender as variable”, feminist standpoint and feminist poststructuralist positions.FindingsWe find feminist perspectives on SE particularly distinctive for their high reliance on relational and embedded accounts of the economy, more attentive to collectivist themes like “belongingness” in the performance of gender and identity, and maintaining a challenge to neoliberal and postfeminist norms. Anchoring each perspective in their respective epistemologies, we demonstrate their lineage in critiques of mainstream entrepreneurship and critical (non-feminist) SE. However, divergences from these lineages lead us to identify diversely contextualised and value-adding feminist accounts of SE that add richness and nuance to mainstream entrepreneurship theorising.Research limitations/implicationsThe relative “youth” of the gender-focused and feminist-informed SE literature, alongside the theoretical relevance of the feminist critique of mainstream entrepreneurship and critical social entrepreneurship literature, lead us to draw on the strengths of a more interpretivist paradigm in our research. This amplifies our ability to support the revelation of conceptual connections and relationships between emergent themes, theories, epistemologies and approaches drawn from multidisciplinary sources and to thereby enhance the reach, and associated value, of our research findings.Originality/valueThis review responds to calls for a gender-aware framework for social entrepreneurship research by (1) developing a set of original emergent themes, (2) tracing their intellectual lineage in associated research fields and (3) using them to deepen the connection between feminist epistemologies and entrepreneurship concepts.

Initial surgical management of injuries to the lower extremities in patients with multiple and/or severe injuries - A systematic review and clinical practice guideline update.

Our aim was to develop new evidence-based and consensus-based recommendations for the initial inhospital management of lower-extremity injuries in patients with multiple and/or severe trauma. This guideline topic is part of the 2022 update of the German Guideline on the Treatment of Patients with multiple and/or severe Injuries. MEDLINE and Embase were systematically searched to May 2021. Randomised controlled trials, prospective cohort studies, and comparative registry studies were included if they compared interventions for the initial surgical and non-surgical management of fractures, dislocations or vascular injuries of the lower extremities in patients with multiple and/or severe trauma. We considered patient-relevant clinical outcomes such as mortality, complication rates, length of stay, and function. Risk of bias was assessed using NICE 2012 checklists. The evidence was synthesised narratively, and expert consensus was used to develop recommendations and determine their strength. Eleven studies were identified. They addressed time to definitive fixation (n = 10 studies) and amputation (n = 1). Two new recommendations were developed, one was modified. All recommendations achieved strong consensus. This systematic literature review and subsequent expert consensus process resulted in the following new key recommendations. It is recommended that isolated and multiple lower-extremity fractures are managed with primary definitive fixation in patients whose condition is stable. Patients condition is not considered stable should be managed with primary temporary fixation. In addition, it is recommended that dislocations of the lower extremities are reduced and immobilised as early as possible.

Teachers’ Competencies in Digital Integration of Learning Contents in Dynamic Classroom Practices: A Review of Teacher Professional Development Needs

Abstract Introduction: Integrating digital tools and resources into classroom instruction has become increasingly essential in modern education. As technology advances, teachers face the challenge of effectively integrating digital learning content into dynamic classroom practices. This paper explores the competencies teachers require for this task, aiming to contribute to understanding teacher professional development needs in digital integration. Purpose: This study aims to investigate the competencies required by teachers for the successful integration of digital tools and resources into classroom practices. Methods: A comprehensive literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) diagram flow to address this aim. A total of 84 articles published from 2000 to 2024 were systematically reviewed, focusing on publications in English that addressed the professional development of teachers, technology integration into classroom practices, and digital competencies. Articles that did not meet these criteria were excluded from the analysis. Results: The synthesis of findings from the literature review highlighted the knowledge base of teachers’ professional development needs in digital integration. The review identified critical competencies for successful digital integration, including technological proficiency, pedagogical knowledge, and content expertise. Additionally, theoretical frameworks such as Technological Pedagogical Content Knowledge (TPACK) and the SAMR model guided the exploration of teachers’ competencies and their implications for instructional practices. Discussion: The implications of the study’s findings extend to educational policy, teacher training programs, and classroom practices. By identifying critical competencies for successful digital integration, this study provides insights into areas for further research and teacher professional development. Moreover, the discussion delves into how these findings can inform the design of effective teacher training programs and support the development of pedagogical practices that leverage digital tools to enhance student learning outcomes. Limitations: Despite the thoroughness of the literature review process, it is essential to acknowledge certain limitations. The study focused primarily on articles published in English, potentially excluding relevant research published in other languages. Additionally, while the PRISMA diagram flow facilitated a systematic review, some relevant articles may need to be noticed. Conclusions: In conclusion, this study contributes to understanding teacher competencies required for effective digital integration of learning contents in dynamic classroom practices. The study identifies critical competencies and highlights areas for further research and teacher professional development by synthesising findings from relevant empirical studies and theoretical contributions. Ultimately, the findings have implications for educational policy, teacher training programs, and instructional practices to enhance student learning outcomes in the digital age.

Updated-Food Choice Questionnaire: Cultural Adaptation and Validation in a Spanish-Speaking Population from Mexico.

Determinants and motives related to food selection have evolved in a globalized and changing world. The traditional and useful Food Choice Questionnaire (FCQ), created in 1995, needs to be updated, adapted to new scenarios, and validated. This study aimed to: (1) assess face validity (FV) of the original 36-item FCQ, (2) generate an Updated-FCQ (U-FCQ) and assess its content validity (CV) (instrument suitability), and (3) evaluate its construct validity and reliability in a Spanish-speaking population from Mexico. FV involved a panel of nutrition professionals (NPs) rating the original items' clarity, relevance, specificity, and representativeness. A literature review process updated the FCQ by adding new items. CV with a second NP panel allowed calculating content validity ratio (CVR). Construct validation was performed via exploratory and confirmatory factor analysis (EFA-CFA). Internal consistency through Cronbach's alpha (CA) and test-retest reliability via intra-class correlation (ICC) were assessed. The FV (n = 8) resulted in the modification of 11 original items. The literature review added 36 new items (15 from previous adaptations and 21 original items). The CV (n = 13) identified nine items (non-acceptable CVR), prompting reformulation of seven and removal of two. The NPs' feedback added six new items. The EFA-CFA (n = 788) developed a 75-item U-FCQ with eight dimensions: sensory appeal, mood, health and nutritional content, price, food identity, environmental and wildlife awareness, convenience, and image management. CA ranged from 0.74-0.97 (good-excellent) and ICC from 0.51-0.78 (moderate-good). This study provides a useful instrument for the assessment of food choices and lays the groundwork for future cross-cultural comparisons, expanding its applicability in wider settings.

Applications of remote sensing technology in agriculture: A review of contributions to food security challenges and strategies in developing countries

In the agricultural sphere, particularly in developing countries where food security is still a major concern, remote sensing technology has also surfaced as an important tool. In this review, the usages of remote sensing in agricultural areas and its contributions to food security are surveyed; The overall framework is illustrated dynamically by indicating available image platforms that were instrumental for agriculture application paradigms. This research identifies certain areas where some selected case studies and existing literature are reviewed to serve as proof that remote sensing technology has been tremendously impactful. Areas like crop monitoring, yield prediction, or natural resource management have been very well reported by the literature review process adopted. This field analysis of related studies used highly sophisticated RS sensor data. The challenges like data availability, technological limitations, and socio-economic factors have been discussed besides the strategies, for instance, capacity building, policy interventions, and prospects for technological advancements. These results underscore the vitality and adoption of remote sensing technologies in agricultural practices and policies which is the key driver of improved food security in developing countries.

Efficacy of Fresh Versus Preserved Amniotic Membrane Grafts for Ocular Surface Reconstruction: META = meta-analysis.

Amniotic membrane transplantation is commonly employed in ophthalmology to mend corneal epithelial and stromal defects. Its effectiveness in restoring the ocular surface has been widely acknowledged in clinical practice. Nevertheless, there is ongoing debate regarding the comparative effectiveness of using fresh amniotic membranes versus preserved ones. The objective of this meta-analysis was to ascertain whether there is a disparity in the effectiveness of fresh versus preserved amniotic membrane in the restoration of the ocular surface in clinical practice. The study utilized the following keywords: "fresh amniotic membrane," "preserved amniotic membrane," "amniotic membrane transplantation," and "ocular surface reconstruction." The study conducted a comprehensive search for relevant studies published until April 18, 2024. Seven different databases, namely PubMed, Web of Science, Embase, Cochrane, China Knowledge, China Science and Technology Journal VIP database, and Wanfang database, were utilized. The search was performed using the keywords "fresh amniotic membrane," "preserved amniotic membrane," "amniotic membrane transplantation," and "ocular surface reconstruction." The process of literature review and data extraction was carried out separately by two researchers, and all statistical analyses were conducted using Review Manager 5.4.1. The final analysis comprised nine cohort studies, encompassing a total of 408 participants. The statistics included six outcome indicators: visual acuity (relative risk [RR] = 1.07, 95% confidence interval [CI] = 0.93-1.24, I2 = 0); amniotic membrane viability (RR = 1.00, 95% CI = 0.93-1.08, I2 = 0); ocular congestion resolution (RR = 1.11, 95% CI = 0.97-1.26, I2 = 0); fluorescent staining of amniotic membranes on the second day after the operation (RR = 1.31, 95% CI = 0.80-2.14, I2 = 11); postoperative recurrence rate (RR = 1.01, 95% CI = 0.50-2.03, I2 = 0); and premature lysis of amniotic membrane implants (RR = 0.96, 95% CI = 0.49-1.88, I2 = 0). The findings indicated that there was no statistically significant disparity between fresh and preserved amniotic membranes across any of the measured variables. There is no substantial disparity in the effectiveness of fresh and preserved amniotic membrane transplants in restoring the ocular surface, and both yield favorable and consistent outcomes.

Māori leadership and early childhood educational leadership in Aotearoa: A critical literature review

Abstract Five early childhood teacher educators in Aotearoa New Zealand explored a range of literature to respond to the question: What does literature tell us about Māori leadership and how are our findings relevant to leadership in early childhood education (ECE) in Aotearoa? The process of finding and reviewing literature sources about Māori leadership led us to think critically about how Māori values, concepts, and customs have been diminished or sustained in fields such as education and business. ECE in Aotearoa is shaped by the bicultural curriculum Te Whāriki and underpinned by obligations to Te Tiriti o Waitangi. Although education and leadership structures and processes in Aotearoa are overwhelmingly produced within Westernised perspectives, ECE curriculum and practice foregrounds Māori ways of knowing, being, and doing. Through the literature review process, we shared insights and critical discussions that enriched our perceptions of leadership by and for Māori, and of relevance to ECE leadership through shared values. The literature reviewed provided examples from education and business settings where Māori leadership grounded in values of whanaungatanga/reciprocal relationality originating in Māori traditional beliefs and societal structures has been sustained, remembered, and reclaimed through processes of navigating and negotiating present-day colonised contexts. Literature also provided examples of official programmes and policies that seek to acknowledge and enhance Māori leadership in education.

Impact of AI on Architecture: An Exploratory Thematic Analysis

The huge impact of artificial intelligence (AI) on various spheres is commonly attested in the literature. This study is informed by the dire need for more research on the increased adoption of AI and awareness of it for architectural activities. It is aimed at exploring the impact of AI on architecture, with a view to drawing evidence from extant studies to determine the extent of its adoption and positive impact on architecture. Literature review process, interpretive devices, and content and thematic analyses are employed to show scholarly evidence for its arguments on the thematic concern. Being an exploratory research, exploratory method and qualitative approach are employed. The study relies on observation and secondary data, focusing on their thematic preoccupations in relation to its arguments. The data are sourced online from only reputable repositories and databases. The analysis demonstrates that AI has been impacting positively on the broad field of architecture, and has the capacity to optimize and transform the architecture industry with huge innovations, results, efficiency, performance, and productivity. The study concludes that AI and other cutting-edge technologies, as technological innovations, are transforming the broad field of architecture. It charges the government and stakeholders in the field to ensure significant adoption of AI and increase awareness about AI, its impact, and ethical concerns. Ethical governance and pragmatic measures can help address the ethical concerns associated with AI.

Development, Implementation, and Formative Evaluation of a Social Needs Screening Tool.

We aim to develop and formatively evaluate a brief social needs screening tool that adheres to Massachusetts Department of Public Health (MDPH) clinical service standards for sexual and reproductive health (SRH) agencies and is acceptable and feasible for use by staff during a clinical encounter. Through a multi-stage literature and expert review process, we developed an evidence-informed, two-page social needs screening tool, scoring form, and implementation guide. We piloted this tool at three SRH agencies in Massachusetts and recruited staff to provide quantitative and qualitative feedback through post-pilot test self-reported surveys and semi-structured interviews. Participants (n = 13) felt the social needs screening tool was easy to integrate into their clinical workflow and were comfortable using it with patients. All participants reported feeling comfortable administering the tool, scoring it, and referring patients to appropriate resources, if applicable. Most reported they would like to continue using the tool after the pilot implementation period, either with or without modifications. Our multi-stage tool development and formative evaluation process involving literature review, expert review, and pilot-testing in clinical settings enabled our team to create a brief, evidence-informed social needs screening tool that is acceptable to staff and feasible for use during a short clinic visit at SRH agencies in Massachusetts. Staff felt that there is value in using this tool, are comfortable using it, and are able to integrate it into their existing clinical workflows.

A Systematic Literature Review on Visualisation Skills for Understanding Science

Previous and recent research have documented the argument fuelled by credential scholars about visualisation skills in various subjects. However, whether this visualisation skill can fulfil students’ understanding has been debated. Meanwhile, despite its widely used in other subjects, the application of science subjects, particularly for understanding certain topics, is still sparse. This study identifies suitable visualisation skills to be incorporated into a science learning approach. Furthermore, a systematic literature review has been conducted to achieve the objective. This paper shows the rigorous systematic literature review process done on some selected journal articles and papers on visualisation skills. The analysis indicates that, while different subjects apply different visualisation skills, most share similar themes in implementing visualisation skills as proven necessity advocated in the 21st learning. Thus, these finding act as an enhancing tool to propose the development of various topic visualisation approaches.

A Brief Review on Caenorhabditis elegans Role in Modelling Neurodegenerative Disease.

A small, translucent nematode known as Caenorhabditis elegans, or C. elegans, is frequently utilized as a model organism in biomedical studies. These worms, which are around 1 mm long and feed on bacteria, are usually found in soil. For accessible and effective research on genetics, developmental biology, neuroscience, cell biology, and aging, C. elegans provide an ideal model. Its simplicity, which includes a translucent body and a nervous system with only 302 neurons, makes it possible to see cellular and developmental processes in great detail. Because of its special benefits, the worm Caenorhabditis elegans allows for a thorough characterization of the cellular and molecular processes causing age-related neurodegenerative diseases. This is a general review of the life cycle, experimental methodologies, and the use of C. elegans to model brain diseases, including those related to molecular and genetic factors that cause neurodegenerative diseases. Additionally, we go over how C. elegans is a perfect model organism for studying neurons in instances of prevalent age-related neurodegenerative illnesses due to a combination of its biological traits and new analytical techniques. The literature review process was carried out step-by-step using online search databases such as Web of Science, PubMED, Embase, Google Scholar, Medline, and Google Patents. In the first searches, keywords like C.elegans, disease modelling, and neuroprotective activity were employed. Because of C. elegans's physiological transparency, it is possible to track the development of neurodegeneration in aging organisms by using co-expressed fluorescent proteins. Importantly, a fully characterized connectome provides a unique ability to precisely connect cellular death with behavioural instability or phenotypic diversity in vivo, thus permitting a deep knowledge of the detrimental effect of neurodegeneration on wellbeing. In addition, pharmacological therapies and both forward and reverse gene screening speed up the discovery of modifiers that change neurodegeneration. These chemical-genetic investigations work together to determine important threshold states that either increase or decrease cellular stress in order to unravel related pathways.

Enhancing linguistic research through AI-powered reference management: A proposal for a voice-controlled academic assistant

In today’s digital age, the amount of available research literature is growing exponentially, making it more challenging for researchers to efficiently manage and cite relevant sources. This issue is particularly pronounced in fields like linguistics, where scholars must contend with interdisciplinary sources spanning linguistics, psychology, and computer science. This paper proposes the development of an AI-powered, voice-controlled academic assistant aimed at enhancing the research experience for linguists by streamlining the literature review and citation process. The assistant would use natural language processing (NLP) and machine learning to allow researchers to search for, retrieve, and cite references using voice commands, thereby eliminating many of the tedious aspects of academic research. This proposal outlines the current state of voice-controlled technology, discusses how these technologies can be implemented in academic workflows, and presents a roadmap for the development of a linguist-friendly reference management system. By addressing key technical, ethical, and practical concerns, this paper offers a compelling vision for the future of linguistic research, powered by AI.

Artificial intelligence methods used in various aquaculture applications: A systematic literature review

AbstractThis research article presents a systematic literature review on the current state‐of‐the‐art artificial intelligence (AI) methodologies used in aquaculture applications. As the demand for seafood continues to grow, the aquaculture industry faces numerous challenges, including disease management, feeding optimization, water quality monitoring, and extraction of aquaculture area. To address these challenges effectively and sustainably, AI techniques have been increasingly applied in aquaculture systems over recent years. This review aims to analyze various AI methodologies utilized within different aspects of aquacultural practices. By examining existing studies and identifying trends and gaps in research areas related to AI integration into aquaculture practices, this paper provides valuable insights for further advancements. The purpose was to synthesize current knowledge on application and its challenges in implementing AI technologies within the commercial aquaculture industry. Specifically, the review is to identify and analyze peer‐reviewed studies reporting on applications of AI technologies in aquaculture industry, to classify and summarize the key findings from the selected studies in aquaculture operations through AI, and to evaluate and discuss any challenges reported regarding the implementation and adoption of AI solutions in commercial aquaculture. The overall goal was to comprehensively assess these via a systematic literature review process. Challenges of AI technologies and methods were identified in the research literature for applying AI to optimize commercial aquaculture practices and production. An exhaustive search of a scholarly database from Scopus, was performed and papers published in English between 2020 and 2024 were considered for inclusion. After a rigorous screening process involving over 116 studies, 57 highly relevant works were identified and analyzed according to key themes involving demonstrated AI applications, employed methodologies and challenges that are expected when applying such methods. The findings revealed that AI‐driven tools such as computer vision, machine learning, and predictive modeling hold much potential for enhancing sustainability, efficiency, and productivity within aquaculture operations through applications like disease monitoring, environmental management, and production optimization. However, the review also uncovered substantial challenges that will continue limiting widespread adoption, including restricted access to representative data, prohibitive expenses, technical complexities, lack of social acceptance, and data privacy and security concerns. This comprehensive synthesis of the current evidence available provides an empirical foundation upon which further progress can be built by identifying priority areas requiring additional research efforts to fully address challenges on the responsible integration of suitable solutions for the commercial aquaculture industry globally.