Peer-reviewed Papers Research Articles

Agroforestry: An Effective Potential Tool for Ensuring Quality Life for the Indian Farmers: A Review

Millennium Development Goals (MDGs) and the succeeding Sustainable Development Goals (SDGs) have been at the heart of the global development agenda. Where half of the population is being employed in the agriculture sector in a rapidly growing demographics like India, the pressure is very tense on the natural resources in order to make harmony between economy and environment. Uplifting the majority of farming families from the poverty line (doubling farmer’s income by 2022 is a time frame set up by NITI Aayog) and ensuring a quality of life in the line of globally standardised development goals has been reflected in governments’ policies. The potential of tangible and intangible benefits referred to as an ecosystem service, delivered by agroforestry systems have been widely accepted all over the world. The need for a climate-resilient and sustainable system of land use for food security is the aim of the new world. The present review discusses the scope of agroforestry for food, environment and economic security that will be helpful for an all-round development of farmer’s life in a rapidly developing country like India, which has a diversified agricultural scenario throughout the length and breadth of the country. We referred peer-reviewed research papers and government publications to come into a conclusion regarding the status of agroforestry as a potential tool in Indian agricultural scenario to ensure a quality of life to the farmers and further suggestions. The potentiality of taking traditional agroforestry practices to a new level through contract tree farming, financing through banking institutions, integrating agroforestry farmers with industries and a tree insurance approach may be a way forward in the country to augment’s farm income and adaption of suitable agroforestry practices as compatible to agro-climatic zones.

INTEGRATING IOT IN PEDIATRIC HEALTHCARE: A SYSTEMATIC REVIEW OF CURRENT APPLICATIONS AND FUTURE DIRECTIONS FOR PANCREATIC DISEASES AND OBESITY Tolulope O. Olorunsogo1

In recent years, the integration of Internet of Things (IoT) technologies into healthcare systems has shown immense promise in revolutionizing patient care, particularly in pediatric populations. This systematic review aims to explore the current landscape of IoT applications in pediatric healthcare, specifically focusing on pancreatic diseases and obesity, two significant health challenges affecting children worldwide. The review comprehensively analyzes existing literature, including peer-reviewed articles, conference papers, and relevant reports. By employing systematic search strategies across various databases, studies were identified, screened, and synthesized to elucidate the diverse applications of IoT in managing pancreatic diseases and obesity among pediatric patients. The findings reveal a multitude of IoT applications tailored to pediatric healthcare, ranging from wearable devices for continuous glucose monitoring in diabetic children to smart scales and activity trackers for managing pediatric obesity. These technologies offer real-time monitoring, data analytics, and personalized interventions, enhancing disease management, improving patient outcomes, and promoting patient engagement and adherence to treatment regimens. Furthermore, this review identifies critical challenges and limitations associated with current IoT implementations in pediatric healthcare, such as data privacy concerns, interoperability issues, and the need for robust regulatory frameworks. Addressing these challenges is crucial to maximizing the potential benefits of IoT in pediatric healthcare and ensuring its safe and effective integration into clinical practice. The review outlines promising future directions for IoT in managing pancreatic diseases and obesity in pediatric populations. These include integrating advanced sensors and artificial intelligence algorithms for predictive analytics, developing user-friendly and child-centric IoT solutions, and establishing collaborative networks for data sharing and knowledge exchange. This systematic review underscores the transformative impact of IoT technologies in pediatric healthcare, particularly in managing pancreatic diseases and obesity. By highlighting current applications and future directions, this study provides valuable insights for clinicians, researchers, and policymakers to harness the full potential of IoT in improving pediatric health outcomes.
 Keywords: IoT, Healthcare, Pancreatic, Disease, Obesity, Pediatric, Review.

EURAS Conference 2023: introduction to the special issue

This special issue presents peer-reviewed papers from the 2023 EURAS/SIIT conference on 'Responsible Standardisation for Smart Systems'. The event, held in Aachen, Germany, featured 18 papers across seven sessions, along with panels, keynotes, and workshops. The special issue includes a report of the conference and three peer-reviewed papers. Topics covered are the historical functions of standards, the relationship between certificates for minimum quality and patent applications at the country level, and the importance of reference implementations in ICT standards for open source software, among others. These papers offer insights into various aspects of standardisation, such as its history, its impact on innovation, and the importance of a flexible standardisation process.

Philippine heritage bridging cultural ecosystem service and nature’s contribution to people in cultural landscapes: a correlational literature review

PurposeNature’s contribution to people (NCP) is a concept that specifically recognizes the relationship of “humans and the natural environment” similarly to concepts of “cultural landscapes” and consistent to “heritage.” These concepts are essential in incorporating a diverse range of stakeholders from different scales, which is important for policy and practice. The paper aims to review the existing peer-reviewed papers in the Philippines, using meta-analysis and systematic review. We addressed the significant interlinkages that help facilitate the transition and strengthen the correlation of cultural ecosystem services (CES) and NCP in a cultural landscape setting.Design/methodology/approachTo distinguish and support claims for NCP from CES, we conducted a meta-analysis and systematic review based on the 30-existing peer-reviewed articles on the Philippine cultural ES in the lenses of “heritage” and “cultural landscape.”FindingsThe results generated a few numbers of the Philippine CES studies, yet it has increased cumulatively year by year consistent with previous international studies. We found that most studies are focused on topics associated with “Indigenous People, Ancestral Domains, Protected Areas/Landscapes, and Indigenous and Local Knowledge” on the linkages concurrently distinguishing NCP to CES, and may signify stronger economic valuation in uncovering the sociocultural dimensions of these scholarships through its relational values in the lenses of cultural landscape and heritage.Research limitations/implicationsThe authors limited the search to peer-reviewed journal articles published from online databases and did not consider Philippine University based and local publications to have a systematic review. This is to prevent underestimating the vast amount of CES literature and avoid gray literature that is not peer-reviewed; hence, being able to analyze and produce focused, yet, credible data.Practical implicationsIn a generalizing perspective, NCP 1, 6, 8, 12, 13, 15, 16, 17 and 18 have the most realized positive correlations of the reporting categories to the Philippine CES studies. The majority of the context-specific perspective NCP has strong conceptual claims in the existing Philippine CES literature through the studies’ variables aside from NCP 3, 4, 5, 7, 8 and 11 that are still mostly in the nature of generalizing perspective.Originality/valueIn conclusion, our results imply that the previous and existing CES studies in the Philippines harbor more attributes presented by the NCP reporting categories. This is deemed more suitable, and may signify stronger economic valuation in uncovering the sociocultural dimensions of these scholarships through its relational values in the lenses of cultural landscape and heritage.

Ethical, legal, social, and policy issues of ovarian tissue cryopreservation in prepubertal girls: a critical interpretive review.

Despite the increasing number of childhood cancer survivors, significant advances in ovarian tissue cryopreservation (OTC) technique and medical societies' recommendations, fertility preservation (FP) and FP discussions are not always offered as a standard of care in the pediatric context. The aim of this literature review is to understand what ethical, legal, social, and policy issues may influence the provision of FP by OTC in prepubertal girls with cancer. A critical interpretive review of peer-reviewed papers published between 2000 and January 2023 was conducted, guided by the McDougall's version of the critical interpretive synthesis (Dixon-Woods), to capture recurring concepts, principles, and arguments regarding FP by OTC for prepubertal girls. Of 931 potentially relevant papers, 162 were included in our analysis. Data were grouped into seven thematic categories: (1) risks of the procedure, (2) unique decision-making issues in pediatric oncofertility, (3) counseling, (4) cultural and cost issues, and (5) disposition of cryopreserved reproductive tissue. This first literature review focusing on ethical, legal, social, and policy issues surrounding OTC in prepubertal girls highlights concerns in the oncofertility debate. Although OTC is no longer experimental as of December 2019, these issues could limit its availability and the child's future reproductive autonomy. This review concludes that specific actions must be provided to enable the offer of FP, such as supporting families' decision-making in this unique and complex context, and providing pediatric patients universal and full access to free or highly subsidized OTC.

Digital Gamification Tools to Enhance Vaccine Uptake: Scoping Review.

Gamification has been used successfully to promote various desired health behaviors. Previous studies have used gamification to achieve desired health behaviors or facilitate their learning about health. In this scoping review, we aimed to describe digital gamified tools that have been implemented or evaluated across various populations to encourage vaccination, as well as any reported effects of identified tools. We searched Medline, Embase, CINAHL, the Web of Science Core Collection, the Cochrane Database of Systematic Reviews, the Cochrane Central Register of Controlled Trials, Academic Search Premier, PsycInfo, Global Health, and ERIC for peer-reviewed papers describing digital gamified tools with or without evaluations. We also conducted web searches with Google to identify digital gamified tools lacking associated publications. We consulted 12 experts in the field of gamification and health behavior to identify any papers or tools we might have missed. We extracted data about the target population of the tools, the interventions themselves (eg, type of digital gamified tool platform, type of disease/vaccine, type and design of study), and any effects of evaluated tools, and we synthesized data narratively. Of 1402 records, we included 28 (2%) peer-reviewed papers and 10 digital gamified tools lacking associated publications. The experts added 1 digital gamified tool that met the inclusion criteria. Our final data set therefore included 28 peer-reviewed papers and 11 digital gamified tools. Of the 28 peer-reviewed papers, 7 (25%) explained the development of the tool, 16 (57%) described evaluation, and 2 (7%) reported both development and evaluation of the tool. The 28 peer-reviewed papers reported on 25 different tools. Of these 25 digital gamified tools, 11 (44%) were web-based tools, 8 (32%) mobile (native mobile or mobile-enabled web) apps, and 6 (24%) virtual reality tools. Overall, tools that were evaluated showed increases in knowledge and intentions to receive vaccines, mixed effects on attitudes, and positive effects on beliefs. We did not observe discernible advantages of one type of digital gamified tool (web based, mobile, virtual reality) over the others. However, a few studies were randomized controlled trials, and publication bias may have led to such positive effects having a higher likelihood of appearing in the peer-reviewed literature. Digital gamified tools appear to have potential for improving vaccine uptake by fostering positive beliefs and increasing vaccine-related knowledge and intentions. Encouraging comparative studies of different features or different types of digital gamified tools could advance the field by identifying features or types of tools that yield more positive effects across populations and contexts. Further work in this area should seek to inform the implementation of gamification for vaccine acceptance and promote effective health communication, thus yielding meaningful health and social impacts.

Feedstock and pyrolysis temperature influence biochar properties and its interactions with soil substances: Insights from a DFT calculation

The use of biochar for soil improvement and emission reduction has been widely recognized for its excellent performance. However, the choice of feedstock and pyrolysis temperature for biochar production significantly affects its surface parameters and interactions with soil substances. In this study, we retrieved 465 peer-reviewed papers on the application of biochar in reducing greenhouse gas emissions and nutrient losses in soil and analyzed the changes in biochar physicochemical parameters from different feedstock and pyrolytic temperatures. Molecular simulation computing technology was also used to explore the impacts of these changes on the interaction between biochar and soil substances. The statistical results from the peer-reviewed papers indicated that biochar derived from wood-based feedstock exhibits superior physical characteristics, such as increased porosity and specific surface area. Conversely, biochar derived from straw-based feedstock was found to contain excellent element content, such as O, N, and H, and biochar derived from straw and produced at low pyrolysis temperatures contains a significant number of functional groups that enhance the charge transfer potential and adsorption stability by increasing surface charge density, charge distribution and bonding orbitals. However, it should be noted that this enhancement may also activate certain recalcitrant C compounds and promote biochar decomposition. Taken together, these results have significant implications for biochar practitioners when selecting suitable feedstock and pyrolysis temperatures based on agricultural needs and increasing their understanding of the interaction mechanism between biochar and soil substances.

Factors influencing academic performance and dropout rates in higher education

ABSTRACT The aim of this study was to identify and evaluate the most frequently used research methods and factors influencing academic performance, based on a pool of 95 studies, published after 2012. We considered only peer-reviewed papers containing 78 empirical and 17 meta-analytic studies. Our theoretical background lies in the different approaches of the terms ‘university dropout’ and ‘academic performance’. After the systematic analysis we ascertained the most commonly used methods are Educational Data Mining (EDM) algorithms (decision tree, logistic regression and neural networks) and Structural Equation Modelling (SEM). The strength of the predictive power depends on the dataset, however Support Vector Machines, Multilayer Perceptron, Naïve Bayes algorithm were found to be the most precise in prediction. Regarding factors influencing academic performance we derived our results based on 600,000 university students. Considering the data from meta-analyses and systematic reviews, reaching up to 900 studies, we found grade point average (GPA), obtained credits (ECTS) and gender to be the most consistent and decisive predictors of academic performance. Nevertheless, GPA and ECTS (as output variables) are mediated by student factors (intrinsic motivation, self-regulated learning strategies, self-efficacy, prior education) and throughput factors (work, finances, academic engagement). We had contradictory results on age and family background.

A Scoping Review of Compassion Fatigue and Compassion Satisfaction in Burn Therapists.

Occupational and physical therapists who routinely provide potentially painful and distressing rehabilitation to burn survivors are at risk for developing compassion fatigue. Burn therapists may also experience compassion satisfaction based on the successes their patients accomplish. The purpose of this review was to synthesize the literature related to compassion fatigue and satisfaction in therapists who work with burn survivors, explore previously reported predictors and mediators of (and responses to) these constructs, and identify gaps in the literature. Original, peer-reviewed papers published from journal inception to May 2023 were obtained from 5 electronic bibliographic databases: CINAHL, Embase, PsycINFO, PubMed, and Web of Science. Studies were eligible if they (1) reported compassion fatigue or its related concepts and (2) focused on occupational or physical therapists who work with burn survivors directly or as a member of a multidisciplinary burn treatment team. The initial search revealed 284 articles, 2 of which met inclusion criteria and are summarized in this scoping review. Neither article focused solely on burn therapists but examined the experiences of multidisciplinary burn team members working in single burn centers in North America. Both studies used a cross-sectional survey-based design to assess concepts related to compassion fatigue and compassion satisfaction. This scoping review uncovered important gaps in the literature related to compassion fatigue or satisfaction in burn therapists. More research is needed to better understand the interplay between concepts as well as their relationship to burn therapists' outcomes.

The Shape of Mobile Health: A Systematic Review of Health Visualization on Mobile Devices

mHealth apps and tracking technology are becoming popular because they help people adopt a healthier lifestyle and form healthy habits. One way mHealth apps can help users is by presenting visuals to help them better understand their health data. Commendable efforts have been carried out to personalize health-promoting interventions to help users become more aware of their own health, and health practitioners for providing healthcare services. For example, digital self-tracking apps nowadays can be used to monitor physical activity, nutrition and sleep patterns. This systematic review aims to investigate the current trends, challenges, gaps, and opportunities in health visualizations on mobile devices. Peer-reviewed papers in English collected using online databases (ACM Digital Library, PubMed, and Web of Science) from 2012 to 2022 were considered, and 56 studies were selected out of 1,168 studies. Results showed that among 11 different health domains, general health and physical health were the most heavily studied. Relatedly, results also showed that physical fitness data is the most frequently collected data type automatically from sensors/trackers. Furthermore, bar and line charts are the most popular type of visualizations used for presenting a variety of health data, and while most apps present static visualizations, interactive visualizations, as well as a combination of both static and interactive visualizations, are becoming more common. Based on our results, we offer recommendations for future research as designers and researchers continue to improve the presentation of data visualizations in mHealth apps.

Inaugural Editorial

It is a great pleasure for me to provide an editorial commentary for the first edition of the recently established Journal of Optics and Photonics Research (JOPR). Greetings and salutations to all of you on the inaugural issue of JOPR, a new and exciting portfolio journal from Bon View Publishing, which focuses on cutting-edge research trends in optics and photonics. The journal features international peer-reviewed multidisciplinary papers that provide new and original insights to the field, while maintaining accuracy in theory and technology. We are committed to ensuring that every accepted article meets these standards. Being the Editor-in-Chief of JOPR is an honor and a source of great gratitude for me. The fields of optics and photonics are primarily concerned with the study of light, its creation, and manipulation, as well as its interactions with gases, plasmas, molecules, and solids, including micro- and nanostructures. The optical domain of ultraviolet, visible, and infrared light is much surpassed by the electromagnetic spectrum covered by optics and photonics. Researchers from physics, chemical and biological engineering, electronic and electrical engineering, and other fields are involved in this highly multidisciplinary topic. JOPR draws on both theoretical and practical results in the field of optical science and engineering, without being limited to any one discipline. It is committed to a wide spectrum of fundamental and applied optical research and brings scientists from many domains together. We encourage authors to conduct interdisciplinary research through the application of reasonable modeling or computational methods and experimental analysis. My goal for JOPR is to create a premier, open-access, highly peer-reviewed platform whose goal is to publish the most significant research in photonics and optics. I'm appreciative of the community's tremendous support in assisting us in achieving this objective.

AI-DRIVEN PREDICTIVE ANALYTICS IN AGRICULTURAL SUPPLY CHAINS: A REVIEW: ASSESSING THE BENEFITS AND CHALLENGES OF AI IN FORECASTING DEMAND AND OPTIMIZING SUPPLY IN AGRICULTURE

This study provides a comprehensive review of the integration and impact of Artificial Intelligence (AI) in agricultural supply chains, focusing on its role in enhancing demand forecasting and optimizing supply. The primary objective was to assess how AI-driven predictive analytics transforms agricultural practices, addressing challenges, and shaping future trends. A systematic literature review and content analysis methodology were employed, utilizing academic databases and digital libraries to source peer-reviewed articles and conference papers published between 2014 and 2024. The inclusion criteria focused on studies related to AI applications in agricultural supply chains, while exclusion criteria filtered out non-peer-reviewed and irrelevant literature. Key findings reveal that AI significantly improves the accuracy and efficiency of demand forecasting and supply chain operations in agriculture. AI technologies, including machine learning and big data analytics, have led to advancements in real-time data analysis, predictive maintenance, and resource optimization. However, challenges such as data quality, infrastructure development, and skill gaps among agricultural professionals persist. The future landscape of AI in agriculture is marked by growth opportunities and challenges, including the need for equitable AI technology access and ethical considerations. The study recommends that industry leaders and policymakers invest in infrastructure, promote AI research and development, and provide training to facilitate AI adoption. Future research should focus on developing robust AI models tailored to agriculture, exploring AI's integration with emerging technologies, and assessing AI's long-term socio-economic impacts. This study contributes to understanding AI's current applications and future potential in transforming agricultural supply chains, offering valuable insights for stakeholders in the agricultural sector.
 Keywords: Artificial Intelligence, Agricultural Supply Chains, Predictive Analytics, Demand Forecasting.

Who Funds Published Disability Research in Australia?

In this article, we describe the sources of funding cited, and topics of research associated with that funding, in Australian disability research. We conducted a systematic search for publicly available peer-reviewed papers reporting the findings of Australian disability research studies focused on Australia in the 2018–2020 period. Papers identified were analyzed according to research topic, participant group, study methodology, and funding sources acknowledged. In total, 1,241 relevant papers were identified. Of these, 582 papers (47%) reported at least one funding source. Government sources accounted for most funding identified ( n = 487), followed by university sector ( n = 112), nongovernment organizations ( n = 99) and for-profit organization funding ( n = 17). The most funding went to intellectual disability (22%), autism (15%), and psychosocial disability (12%). Only 16 (1.3%) papers citing funding sources reported their research was conducted in partnership with people with disability. Research funding influences the priorities of disability research, how it is conducted, and its outputs. Funding therefore shapes the information available to build evidence-based systems of service and support for and with people with disability. It is essential that research funding policies are considered in relation to broader disability policy goals and the research priorities of the disability community.

Inventory Optimization of Deteriorating Items: A Comprehensive Review of Carbon-Control Policies and Their Impact on Shelf Life, Greening Effects, and Rework Policies

This study examines the deteriorating inventory management problem for items with short shelf life, considering alternative carbon control strategies from 2018 to 2023. These policies include carbon cap and trade, trade and credit policy, carbon-emission control, and others. The study takes into account critical elements such as shelf life, optimal policies, modelling approaches, greening effects, subsidies, and rework policies. The analysis started with a search for 'EOQ Model' in the Science Direct database, which generated 788 items. For a comprehensive evaluation, were restricted our resources to 329 scientific publications, including deterioration. Following that, it was limited to carbon emissions, obtaining 123 results. The papers referenced above cover a wide range of issues, including remanufacturing and rework, as well as carbon caps and trade-credit systems for data collection, yielding 45 and 32 research articles, respectively. The review prioritizes respected publications of peer-reviewed journals papers for reliable results were examined. A review of the literature suggested that future research should concentrate on stochastic modelling. The emphasis has been placed on identifying future study gaps that will aid in the development of most relevant models. The current work will serve as a guideline for selecting the suitable mathematical technique(s) and methodology(s) in various situations involving deteriorating items. The current analysis examined 42 research papers on deteriorating inventory modelling accessible in the literature to characterize its current state and indicate probable future directions. Future research needs have also been identified. This comprehensive study is firmly believed to fill a knowledge gap on deteriorating inventory and support in the formulation of appropriate methods for the creation of a successful and effective inventory control system for deteriorating products.

AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review.

Over the past few years, there has been a noticeable surge in efforts to design novel tools and approaches that incorporate Artificial Intelligence (AI) into rehabilitation of persons with lower-limb impairments, using robotic exoskeletons. The potential benefits include the ability to implement personalized rehabilitation therapies by leveraging AI for robot control and data analysis, facilitating personalized feedback and guidance. Despite this, there is a current lack of literature review specifically focusing on AI applications in lower-limb rehabilitative robotics. To address this gap, our work aims at performing a review of 37 peer-reviewed papers. This review categorizes selected papers based on robotic application scenarios or AI methodologies. Additionally, it uniquely contributes by providing a detailed summary of input features, AI model performance, enrolled populations, exoskeletal systems used in the validation process, and specific tasks for each paper. The innovative aspect lies in offering a clear understanding of the suitability of different algorithms for specific tasks, intending to guide future developments and support informed decision-making in the realm of lower-limb exoskeleton and AI applications.

The effect of classroom acoustics and noise on high school students’ listening, learning and well-being: a scoping review

PurposeThe purpose of this paper is to systematically map research on the effect of classroom acoustics and noise on high school students’ listening, learning and well-being, as well as identify knowledge gaps to inform future research.Design/methodology/approachThis scoping review followed the PRISMA-ScR protocol. A comprehensive search of four online databases (ERIC, PubMed, Scopus and Web of Science) was conducted. Peer-reviewed papers were included if they conducted a study on the effect of classroom acoustics or noise on students’ listening, learning or well-being; had a clear definition of the noise level measurement; were conducted with high school students; and had the full text in English available.FindingsIn total, 14 papers met the criteria to be included in the review. The majority of studies assessed the impact of noise on students’ listening, learning or well-being. Overall, the results showed that higher noise levels have a negative effect on students’ listening, learning and well-being. Effects were even more pronounced for students who were non-native speakers or those with special educational needs such as hearing loss. Therefore, it would be beneficial to limit unnecessary noise in the classroom as much as possible through acoustic insulation, acoustic treatment and classroom management strategies.Originality/valueThis paper is the first review paper to synthesize previous research on the effect of classroom acoustics and noise on high school students’ listening, learning and well-being. It provides an analysis of the limitations of existing literature and proposes future research to help fill in these gaps.

Migrant entrepreneurship support in Europe: a PRISMA systematic literature review

Background This systematic literature review (SLR) analyzes migrant entrepreneurship support in Europe through three research questions (RQs) to understand 1) migrant entrepreneur characteristics in the European context, 2) challenges encountered by migrant entrepreneurs in European host countries, and 3) policies supporting migrant entrepreneurship in Europe. This review addresses gaps in current knowledge in academia as well as issues that policymakers and practitioners face when addressing migrant entrepreneurship support. Methods This SLR employed a search protocol to retrieve published sources from 1970 to 2021, via Scopus (27 March 2022) and Web of Science (7 April 2022). Inclusion criteria targeted migrant entrepreneurship support studies while exclusion criteria eliminated domestic migration and non-European contexts. The authors worked iteratively, aligning the data with the RQs to reduce bias, and adapted Bourdieu's forms of capital to create an analytical framework for the sources included in the SLR, with a table for each RQ to synthesize relevant data for analysis. Results The review examined 91 peer-reviewed papers, with a focus on migrant entrepreneurship support in Europe, covering characteristics, challenges, and support policies. It classified migrant entrepreneur challenges and characteristics into financial, human, and social capital, as well as external factors. Common challenges include the local culture and language, network, funding, and adapting to local business practices. Migrant entrepreneurs' stability relates to time in the host country and local language proficiency and reflects past entrepreneurial experience and education. Supportive mechanisms involve local networks, financing, and mentoring. Conclusions The SLR's limitations encompass possible oversight of pertinent studies, along with potential bias in data extraction, analysis, and subjectivity due to thematic analysis. Nonetheless, the findings suggest the following research agenda for migrant entrepreneurship support: evaluating and enhancing human and social capital, sharing information, designing support programs, addressing in-group/out-group bias in support programs, and exploring bottom-up migrant entrepreneurship support approaches.

An effective global biochar application strategy for reducing global cropland nitrogen emissions without compromising crop yield: Findings from a global meta-analysis and density functional theory calculation

Biochar is widely used to mitigate nitrogen (N) emissions in global croplands. However, its effectiveness varies due to spatial disparities in external factors such as soil properties and climate conditions, as well as biochar characteristics such as pH and carbon content. In this study, we used a molecular model to assess the distinct impacts of biochar and soil on soil N emissions. We employed a back-propagation neural network optimized using a genetic algorithm (GA-BPNN) to simulate N emissions in global croplands, utilizing data from 351 peer-reviewed papers. Then, a global biochar application strategy aimed at optimizing the reduction of N emissions across global croplands was devised by aligning biochar and soil parameters. Our findings indicate that the high electrophilic and nucleophilic properties of biochar's reactive surface significantly contribute to the reduction of soil N emissions. The GA-BPNN-based machine learning (ML) technology demonstrated superior predictive performance (with R2 ranging from 0.47 to 0.69) in predicting changes in soil N emissions post-biochar application compared to other machine learning algorithms. Our simulations show that optimized global biochar application increases NH3 volatilization but achieves the most significant reduction in global cropland N emissions, amounting to 16.04 Tg N yr−1 and representing approximately 28.45% of the estimated total N emissions from global croplands, all while preserving crop yields. Therefore, aligning biochar properties with specific soil parameters and environmental conditions could be a promising strategy for mitigating N emissions in global croplands and addressing climate degradation.

A review of travel behavioural pattern using GPS dataset: A systematic literature review

In the last few years, the Global positioning system (GPS) has been used to study travel patterns with the advancement of data collection techniques. A GPS device precisely records the time and the location data of an individual travel. The accuracy of travel studies is usually improved by integrating travel surveys or travel activity diaries with GPS data. GPS surveys are implemented to replace paper-based techniques and reduce human error on trip-misreporting issues. Several reviews have been performed previously on GPS travel studies. Still, a detailed systematic review on the comparison of different modes and methods on the entire procedure of GPS data processing has not been thoroughly studied. This review identified 116 peer-reviewed studies and journal papers from 2013 to 2020, and 53 papers were studied. The review focused on travel behavior pattern (TBP) analysis using GPS studies only and a combination of travel surveys. Our review reveals that 53 only 40 have quality assessment scores of >50 %, meaning the remaining TBP studies are conventional methods. The study also benefits data analysis and researchers to select the most appropriate data collection techniques for studying TBP and improvise them further for meta-analysis travel behavior studies.

The effectiveness of positive psychological coaching at work: a systematic review

ABSTRACT The purpose of this study is to provide a thorough review of empirical research on the antecedents, outcomes, and underlying mechanisms that contribute to the effectiveness of positive psychological coaching at work. A systematic review of the literature utilising specific keywords, gathered from four bibliographic databases, yielded 505 records. All the records went through a screening process that included examining the titles, abstracts, and specific inclusion and exclusion criteria. A total of fifteen publications on positive psychological coaching were incorporated into the study. These consisted of fourteen peer-reviewed journal papers and one doctoral dissertation. Our findings confirm that positive psychological coaching benefits both individuals and organisations by boosting well-being and work-related outcomes. Success factors and underlying mechanisms that determine intervention success were also highlighted. While this evaluation did identify some encouraging outcomes, it also revealed a dearth of rigorous methodology in addressing the aforementioned study variables, and a need for further research. We conclude by outlining strengths, limitations, and a future direction to expand this field's theoretical and empirical knowledge. Practitioners can benefit from this research to improve their performance in the coaching process by considering the key success factors in the delivery of a high-quality service to their clients.