Analysis Approach Research Articles

Political and policy content in human behavior in the social environment textbooks

ABSTRACT Both the National Association of Social Workers (NASW) Code of Ethics and the Council on Social Work Education (CSWE) Educational Policy and Accreditation Standards (EPAS) require that social work practitioners and students engage in political and policy practice. However, social work practitioners report that they feel inadequately prepared by their education to engage in the political system. Thus, utilizing a content analysis approach, this study explores the frequency and integration of political and policy themes in Human Behavior in the Social Environment (HBSE) textbooks. Reviewing 607 learning objectives in six HBSE textbooks determined that political and policy themes are implicitly identified within these textbooks; however, more steps can be taken to integrate and explicitly incorporate political and policy themes. Thus, this article provides findings from content analysis as well as suggestions for social work educators to incorporate political and policy themes in HBSE courses.

A critical review of electrochemical and optical Vitamin B6 sensing: evolution of biosensor platforms based on advanced nanosystems.

Vitamin B6 (VB6) is a member of the water-soluble B vitamins which have a vital performance in nervous system operating activities. VB6 is highly demanded to maintain excellent skin and immune systems in the human body. furthermore, VB6 is tremendously substantial in the functions of some enzymes that participate in the metabolism of proteins, amino acids, etc. The deficiency of VB6 will eventuate in anemic situations and may lead to permanent injuries in the brain. moreover, recent studies disclosed that adequate Vitamin B6 in the human body can decrease the intensity of illnesses such as diabetes, stress, etc., in patients with COVID-19 infections. Thus, the detection of VB6 from real samples is crucial to control the amount of this vitamin in biological fluids and to monitor the pharmaceutical dosage quality. Various analytical approaches have been employed for the VB6 detection in biological and pharmaceutical samples. Although biosensing and sensing approaches hold several obvious advantages such as simplicity, capability for miniaturization, quick response time, etc. from other analytical methods. Hence, through the last decades, designing and fabricating biosensors with sufficient sensitivity and selectivity have been investigated by many researchers in order to detect VB6. The purpose of this review is to illustrate the importance of diverse electrochemical and optical approaches for VB6 detection. Additionally, novel VB6 detection techniques based on electrochemical, optical, and conventional methods have been considerably discussed, and compared with each other. Furthermore, a comprehensive summary of the current limitations and future challenges in VB6 analysis are explained and also create a pathway for subsequent expansions and applications.

Analytic analysis of free vibration problem of the plate with a rectangular cutout using symplectic superposition method combined with domain decomposition technique

Plates with rectangular cutouts is widely seen in the field of engineering structures. Therefore, it is crucial to examine analytical solutions for free vibration (FV) of these structures. Despite the existence of approximate/numerical methods, analytical solutions are lacking in the literature. In this study, we employ the symplectic superposition method to effectively analyze the FV problems encountered in plates with rectangular cutouts while integrating the domain decomposition technique. To address the issue of irregular geometry, the rectangular cutout plate is divided into multiple sub-plates. By dividing the problem into multiple sub-problems and solving them separately using variable separation and symplectic eigen expansion, we obtain analytical solutions. Finally, we combine the sub-problem solutions to resolve the initial issue. This solution method can be considered a logical, analytical, and systematic approach as it starts with the fundamental governing equation and is derived without assuming forms of solutions. The study presents a comprehensive set of numerical results that include mode shapes (MSs) and natural frequencies (NFs). The results are rigorously validated using the finite element method (FEM) and relevant literature. The symplectic superposition method demonstrates excellent convergence and precise accuracy, making it suitable for analytically modeling more complex mechanical problems of plates.

Understanding barriers to spinal cord injury rehabilitation services in Nepal: A qualitative study of rehabilitation professionals' perspectives.

This study aims to explore the perspectives of rehabilitation professionals regarding the barriers to spinal cord injury (SCI) rehabilitation services in Nepal. A qualitative study involved 15 rehabilitation professionals working in the Spinal Injury Rehabilitation Center in Nepal. After obtaining informed consent, in-depth semistructured interviews were conducted using Zoom and phone calls between June and July 2023. Braun and Clarke's thematic analysis approach was utilized to analyze the interviews and generate themes from the participants' responses. The participants represented nine different rehabilitation professions. Over half of them were female (53.33%), and 86.67% had one to 10 years of experience in SCI rehabilitation. From in-depth interviews, four themes depicting barriers to rehabilitation were identified: (a) resource constraints within the rehabilitation centers, (b) concerns related to finance, awareness, and support mechanisms, (c) systemic problems coupled with geographical and physical barriers, and (d) beliefs and practices influencing access and adherence to rehabilitation. Delivering effective rehabilitation services for people with SCI presents a range of barriers. Considering the critical importance of rehabilitation for this population, the findings underscore the necessity of engaging stakeholders at multiple levels, individuals, communities, and government agencies to address the identified barriers and improve rehabilitation services in Nepal. The implications of the findings are further discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Analysing micrologistics initiatives in rural areas – Approaches to typologise and assess complex logistics solutions in regional supply networks

While demand for regional products increases and societal expectations towards a regionalisation of production are on the rise in Germany, little attention is given to the logistical challenges of local producers. At the same time, rural areas are confronted with declining supply options for goods of daily needs. Logistical challenges in rural areas are primarily caused by a scarcity of actors, low or fluctuating quantities of goods and long transport distances. A lack of economies of scale makes supply and logistics very costly. Given the rising interest and new possibilities created by digitisation, numerous private and public initiatives are developing solutions for sustainable regional logistics to secure and improve supply in rural areas - so called micrologistics solution. However, a meta-analysis of such regional logistics solutions is missing that identifies similarities and differences and indicates which characteristics are essential for the development of long-term viable regional logistics solutions.This article therefore aims at providing a general overview and at systematising current micrologistics solutions in rural regions, introducing a typology which is based on a meta-analysis of approximately 80 micrologistics initiatives in Germany and beyond. Referring to two case studies – Smart Village St. Wendel and UCKER Warentakt - we then focus analysis on solutions aiming at providing goods of daily need to the population in rural areas. We share lessons learnt on their characteristics, challenges and factors of success. This is done using a specifically developed morphological box, a viability and impact-oriented assessment framework for micrologistics initiatives as well as results of interviews with initiators and operators of such initiatives. We conclude on the usefulness of the analytical approaches developed for this new research field as well as further research needs.

Exploring the Experiences of Community-Dwelling Older Adults on Using Wearable Monitoring Devices With Regular Support From Community Health Workers, Nurses, and Social Workers: Qualitative Descriptive Study.

The use of wearable monitoring devices (WMDs), such as smartwatches, is advancing support and care for community-dwelling older adults across the globe. Despite existing evidence of the importance of WMDs in preventing problems and promoting health, significant concerns remain about the decline in use after a period of time, which warrant an understanding of how older adults experience the devices. This study aims to explore and describe the experiences of community-dwelling older adults after receiving our interventional program, which included the use of a smartwatch with support from a community health workers, nurses, and social workers, including the challenges that they experienced while using the device, the perceived benefits, and strategies to promote their sustained use of the device. We used a qualitative descriptive approach in this study. Older adults who had taken part in an interventional study involving the use of smartwatches and who were receiving regular health and social support were invited to participate in focus group discussions at the end of the trial. Purposive sampling was used to recruit potential participants. Older adults who agreed to participate were assigned to focus groups based on their community. The focus group discussions were facilitated and moderated by 2 members of the research team. All discussions were recorded and transcribed verbatim. We used the constant comparison analytical approach to analyze the focus group data. A total of 22 participants assigned to 6 focus groups participated in the study. The experiences of community-dwelling older adults emerged as (1) challenges associated with the use of WMDs, (2) the perceived benefits of using the WMDs, and (3) strategies to promote the use of WMDs. In addition, the findings also demonstrate a hierarchical pattern of health-seeking behaviors by older adults: seeking assistance first from older adult volunteers, then from social workers, and finally from nurses. Ongoing use of the WMDs is potentially possible, but it is important to ensure the availability of technical support, maintain active professional follow-ups by nurses and social workers, and include older adult volunteers to support other older adults in such programs.

Impact of thyroid function on coagulation and venous thromboembolism: a two-sample mendelian randomization study.

The association between thyroid function, coagulation and venous thromboembolism (VTE) has been reported in observational studies with conflicting findings. This study aimed to elucidate the causal effects of thyroid function on coagulation and VTE from a genetic perspective. Two sample Mendelian randomization analysis was conducted using summary statistics from genome-wide association studies in a European population. Coagulation status was associated with nine coagulation-related factors (F VIII, F IX, F XI, Fibrinogen, Antithrombin-III, Thrombomodulin, Plasminogen activator inhibitor-1, Protein C and Protein S). Inverse variance weighting with random effect method was used as the main analytic approach with MR-Egger, weighted median, simple mode and weighted mode methods serving as complements. Sensitivity analyses including heterogeneity test, horizontal pleiotropy test and leave-one-out analysis were conducted to further assess the reliability of results. No genetic causal effects of thyroid function on VTE (including pulmonary embolism and deep venous thrombosis) were found. Genetically, hyperthyroidism was suggestively related to decreased Antithrombin-III (β: -0.04 [95% CI: -0.06 to - 0.01], p = 0.010) and Protein C (β: -0.03 [95% CI: -0.06 to 0.00], p = 0.045). No notable associations were observed between other thyroid function parameters and coagulation-related factors. We provide suggestive genetic evidence supporting the causal effect of hyperthyroidism on decreased level of anticoagulant factors including Antithrombin-III and Protein C. However, whether this genetic causality could lead to clinically significant hypercoagulable state and increased risk of VTE in hyperthyroid population needs to be further addressed.

Analysis types and quantification methods applied in UHPLC-MS metabolomics research: a tutorial.

Different types of analytical methods, with different characteristics, are applied in metabolomics and lipidomics research and include untargeted, targeted and semi-targeted methods. Ultra High Performance Liquid Chromatography-Mass Spectrometry is one of the most frequently applied measurement instruments in metabolomics because of its ability to detect a large number of water-soluble and lipid metabolites over a wide range of concentrations in short analysis times. Methods applied for the detection and quantification of metabolites differ and can either report a (normalised) peak area or an absolute concentration. In this tutorial we aim to (1) define similarities and differences between different analytical approaches applied in metabolomics and (2) define how amounts or absolute concentrations of endogenous metabolites can be determined together with the advantages and limitations of each approach in relation to the accuracy and precision when concentrations are reported. The pre-analysis knowledge of metabolites to be targeted, the requirement for (normalised) peak responses or absolute concentrations to be reported and the number of metabolites to be reported define whether an untargeted, targeted or semi-targeted method is applied. Fully untargeted methods can only provide (normalised) peak responses and fold changes which can be reported even when the structural identity of the metabolite is not known. Targeted methods, where the analytes are known prior to the analysis, can also report fold changes. Semi-targeted methods apply a mix of characteristics of both untargeted and targeted assays. For the reporting of absolute concentrations of metabolites, the analytes are not only predefined but optimized analytical methods should be developed and validated for each analyte so that the accuracy and precision of concentration data collected for biological samples can be reported as fit for purpose and bereviewed by the scientific community.

Underrepresented Populations on Public Health Data Dashboards: Design Considerations for Improving Usability and Usefulness.

Representation of racial and ethnic minority groups and sexual and gender minority groups is limited on public health data dashboards. The small size of these populations leads to data being aggregated or suppressed to produce stable estimations and preserve individuals' information privacy. This might, however, limit the usefulness of the represented data for identifying individuals' risk factors and allocating services. To explore public health practitioners' concerns about underrepresented populations on public health data dashboards that emerged during a usability evaluation study. 20 public health practitioners from New York State, US. Virtual Zoom meetings were conducted to monitor the participants' use of a public health dashboard and ask about their experience using it. The collected data, in the form of researchers' notes and audio transcripts, were analyzed using the thematic analysis approach. Participants were very concerned about the underrepresentation of sexual and gender minority groups and racial and ethnic minority groups on public health data dashboards. Four themes emerged regarding the consequences of the underrepresentation: (1) misinterpretation of risk for underrepresented groups, (2) exacerbating the mistrust between underrepresented populations and the government, (3) a potential disservice to underserved populations if the data is used as the basis for allocating resources, and (4) and unknown impact for the individuals whose demographic information is unknown. We propose considerations for displaying underrepresented populations on public health data dashboards to improve the utility of the represented data.

COVID-19 and lifelong learning: older adult peer educators’ perspective on the pandemic’s effect on adult education

ABSTRACT Background The COVID-19 pandemic ushered in a period of unprecedented uncertainty, profoundly affecting societies worldwide. Older adults often faced heightened risks of isolation and health complications. As research in the aftermath of the pandemic has sought to understand its multifaceted impacts, there remains a notable gap in examining older adults’ access to education, particularly within the Lifelong Learning Institutes (LLIs) or Universities of the Third Age (U3A). Methodology In the course of a broader study focusing on older adult peer educators, the topic of COVID-19 emerged as a prominent and recurring theme of 14 interviews with US-based peer educators. Using a qualitative content analysis approach supported by WebQDA (Qualitative Data Analysis Software) we identified key themes and subthemes in the interview data. Findings Major themes included the impact of COVID-19 in the classroom and institution and also in the personal lives of the students and educators. A prominent subtheme was the introduction, or shift, in technology. Technology was seen as a powerful tool for expanding educational opportunities for older adults and engaging a broader audience. The resilience and adaptability of educators in navigating the challenges posed by the pandemic were also frequently discussed. Conclusion This study highlights the way in which the COVID-19 pandemic has reshaped education within Lifelong Learning Institutes. The findings underscore the importance of addressing the specific needs and challenges faced by older adult peer educators and highlight the opportunities for enhancing specific person-based support and allocating resources effectively in the evolving post-pandemic educational landscape.

Citizens’ perspectives on healthy weight approaches in low SEP neighborhoods: a qualitative study from a systems perspective

BackgroundThe physical and the social environment are important predictors of healthy weight, especially in low socioeconomic position (SEP) neighborhoods. Many Dutch municipalities have implemented a healthy weight approach (HWA). Yet, there is room for improvement. This system science study examined what influences the utilization of HWA facilities and activities, and what aspects can help to achieve a desired systems change (also called leverage point themes (LPTs)) in the HWA system as perceived by citizens living in low SEP neighborhoods.MethodAll research phases were performed with four citizens co-researchers. Forty-seven citizens living in low SEP neighborhoods were semi-structurally interviewed about the neighborhood HWA facilities and municipal HWA activities. A rapid coding qualitative analysis approach was applied per topic. The topics were citizens’ healthy living description, personal circumstances, and satisfaction with foot and cycle paths, sports facilities, playgrounds, green spaces, museums and theaters, community centers, churches, healthcare, school, food supplies, contact with neighborhood, unfamiliar and/or unused activities, familiar and used activities, unavailable but desired (lacking) activities, and reaching citizens.ResultsThe utilization of HWA facilities and activities was influenced by the overarching themes of social cohesion, familiarity, reaching citizens, maintenance, safety, physical accessibility, financial accessibility, social accessibility, fit with personal context, and fit with the neighborhood’s specific needs. Different overarching themes stood out across different facilities and activities. LPTs indicated the overarching themes needed in combination with one another for a specific activity or facility to increase utilization. For example, the LPT regarding foot and cycle paths was “accessible, safe, and maintained foot and cycle paths”. The LPTs regarding familiar and used activities were “customized activities; information provision (e.g., about possibilities to join without paying); social contact, meeting others, and everyone feels included”.ConclusionConducting inclusive qualitative research from a systems perspective among citizens living in low SEP neighborhoods has contributed valuable insights into their needs. This enables practical implementation of HWAs by providing a deeper understanding of the LPTs within the HWA system. LPTs can help HWA stakeholders to further develop current HWAs toward systems approaches. Future research could study the leverage points that may contribute to LPT implementation.

Longitudinal Coadaptation of Older Adults With Wearables and Voice-Activated Virtual Assistants: Scoping Review.

The integration of smart technologies, including wearables and voice-activated devices, is increasingly recognized for enhancing the independence and well-being of older adults. However, the long-term dynamics of their use and the coadaptation process with older adults remain poorly understood. This scoping review explores how interactions between older adults and smart technologies evolve over time to improve both user experience and technology utility. This review synthesizes existing research on the coadaptation between older adults and smart technologies, focusing on longitudinal changes in use patterns, the effectiveness of technological adaptations, and the implications for future technology development and deployment to improve user experiences. Following the Joanna Briggs Institute Reviewer's Manual and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, this scoping review examined peer-reviewed papers from databases including Ovid MEDLINE, Ovid Embase, PEDro, Ovid PsycINFO, and EBSCO CINAHL from the year 2000 to August 28, 2023, and included forward and backward searches. The search was updated on March 1, 2024. Empirical studies were included if they involved (1) individuals aged 55 years or older living independently and (2) focused on interactions and adaptations between older adults and wearables and voice-activated virtual assistants in interventions for a minimum period of 8 weeks. Data extraction was informed by the selection and optimization with compensation framework and the sex- and gender-based analysis plus theoretical framework and used a directed content analysis approach. The search yielded 16,143 papers. Following title and abstract screening and a full-text review, 5 papers met the inclusion criteria. Study populations were mostly female participants and aged 73-83 years from the United States and engaged with voice-activated virtual assistants accessed through smart speakers and wearables. Users frequently used simple commands related to music and weather, integrating devices into daily routines. However, communication barriers often led to frustration due to devices' inability to recognize cues or provide personalized responses. The findings suggest that while older adults can integrate smart technologies into their lives, a lack of customization and user-friendly interfaces hinder long-term adoption and satisfaction. The studies highlight the need for technology to be further developed so they can better meet this demographic's evolving needs and call for research addressing small sample sizes and limited diversity. Our findings highlight a critical need for continued research into the dynamic and reciprocal relationship between smart technologies and older adults over time. Future studies should focus on more diverse populations and extend monitoring periods to provide deeper insights into the coadaptation process. Insights gained from this review are vital for informing the development of more intuitive, user-centric smart technology solutions to better support the aging population in maintaining independence and enhancing their quality of life. RR2-10.2196/51129.

Dolsko – Spodnje Škovce and a new insight into the settlement, chronology, ceramic style(s), and subsistence strategies of the Late Neolithic Sava group in Slovenia

Radiocarbon dates, analysis of ceramic finds, animal bones, fruits/seeds and wood (charcoal) from settlement features of the Sava group of the Lengyel Culture at the site of Dolsko – Spodnje Škovce in central Slovenia are presented and discussed in this paper. The aim of the study was to place the excavated material culture in its regional and supra-regional context in order to improve the understanding of Late Neolithic settlement features, chronology, pottery style(s) and subsistence strategies in settlements throughout the area of distribution of the Sava group. This is the first synthesis of archaeobotanical and archaeozoological data from the 5th millennium cal BC sites in Slovenia, including the evaluation and comparison of plant macro-remains and animal bones, and the first synthesis of data on technological and typological aspects of pottery production in the settlements obtained using the same analytical approach. Uncertainties regarding the chronology of different variations of a pottery style and subsistence strategies are emphasized.

From blocks to bridges: navigating the globalization-blockchain nexus through bibliometrics analysis

Purpose This study aims to comprehensively inspect the impact of blockchain technology in the context of globalization, focusing on the most influential research works, scientific production by countries, commonly used keywords, trending topics and the conceptual and intellectual structure of this field. Design/methodology/approach A bibliometric analysis was conducted in R Studio, involving the review and scrutiny of 194 research papers indexed in the Scopus database. This analytical approach allowed for a systematic examination of the literature and the identification of key patterns and trends in blockchain and globalization research. Findings The analysis revealed the most influential research contributions, highlighted countries with significant scientific production, identified frequently used keywords and unveiled emerging trends and areas of focus in the field of blockchain and digitization. Additionally, the study explores prospective research directions. Research limitations/implications This research provides insights into the current state of blockchain and globalization research, offering valuable information for scholars, policymakers and industry professionals. The recognized themes provide a systematic structure for upcoming inquiries, directing studies toward vital domains like supply chain management and sustainable development. Moreover, the analysis emphasizes the significance of interdisciplinary collaboration and provides practical insights, enabling businesses and policymakers to enhance transparency, counteract fraud and adjust to the digital era for societal and economic advancement. Originality/value The study contributes to the prevailing literature by steering a comprehensive analysis of the interplay between blockchain technology and globalization, shedding light on influential works and emerging trends. It adds value by providing a structured overview of the field's intellectual landscape.

The role of trust on investors' intention to shares waqf in Indonesia

Purpose – This study examines the direct and indirect relationships between the variables of waqf literacy, reputation, and integrity and investors' intentions in waqf shares.Methodology – This study uses the Smart Equation Modeling (SEM) analysis approach with SEM PLS 4.0. A total of 247 investors were obtained through the questionnaire distribution.Findings – The results of this study indicate that waqf literacy, reputation, and integrity have a significant positive direct effect on trust and investor intention in waqf shares. The trust variable has a significantly positive effect on investor intention in waqf shares. The trust variable can moderate the influence of waqf literacy, reputation, and integrity on investor intention in waqf shares.Implications – For future researchers to enrich research on share waqf by adding other factors, discussing case studies specifically on share waqf nazirs, and comparing their management with other countries. To establish cooperation with stock exchange members who have Sharia Online Trading System (SOTS) services to make it easier for investors to share waqf. Originality – This study adds trust variables as mediation for other variables and revalidates the results of the influence of waqf literacy, reputation, and integrity on investor intention in waqf shares.

Formal Modeling and Verification of Lycklama and Hadzilacos’s Mutual Exclusion Algorithm

This study describes our thorough experience of formal modeling and exhaustive verification of concurrent systems, particularly mutual exclusion algorithms. The experience focuses on Lycklama and Hadzilacos’s (LH) mutual exclusion algorithm. LH rests on the reduced size of the shared state, contains a mechanism that tries to enforce an FCFS order to processes entering their critical section, and embodies Burns and Lamport’s (BL) mutual exclusion algorithm. The modeling methodology is based on timed automata and the model checker of the popular Uppaal toolbox. The effectiveness of the modeling and analysis approach is first demonstrated by studying the BL’s solution and retrieving all its properties, including, in general, its unbounded overtaking, which is the non-limited number of by-passes a process can suffer before accessing its critical section. Then, the LH algorithm is investigated in depth by showing it fulfills all the mutual exclusion properties when it operates with atomic memory. However, as this study demonstrates, LH is not free of deadlocks when used with non-atomic memory. Finally, a state-of-the-art mutual exclusion solution is proposed, which relies on a stripped-down LH version for processes, which is used as the arbitration unit in a tournament tree (TT) organization. This study documents that LH’s TT-based algorithm satisfies all the mutual exclusion properties, with a linear overtaking, both using atomic and non-atomic memory.

Systematic review of methods used in prediction models with recurrent event data

BackgroundPatients who suffer from chronic conditions or diseases are susceptible to experiencing repeated events of the same type (e.g. seizures), termed ‘recurrent events’. Prediction models can be used to predict the risk of recurrence so that intervention or management can be tailored accordingly, but statistical methodology can vary. The objective of this systematic review was to identify and describe statistical approaches that have been applied for the development and validation of multivariable prediction models with recurrent event data. A secondary objective was to informally assess the characteristics and quality of analysis approaches used in the development and validation of prediction models of recurrent event data.MethodsSearches were run in MEDLINE using a search strategy in 2019 which included index terms and phrases related to recurrent events and prediction models. For studies to be included in the review they must have developed or validated a multivariable clinical prediction model for recurrent event outcome data, specifically modelling the recurrent events and the timing between them.The statistical analysis methods used to analyse the recurrent event data in the clinical prediction model were extracted to answer the primary aim of the systematic review. In addition, items such as the event rate as well as any discrimination and calibration statistics that were used to assess the model performance were extracted for the secondary aim of the review.ResultsA total of 855 publications were identified using the developed search strategy and 301 of these are included in our systematic review. The Andersen-Gill method was identified as the most commonly applied method in the analysis of recurrent events, which was used in 152 (50.5%) studies. This was closely followed by frailty models which were used in 116 (38.5%) included studies. Of the 301 included studies, only 75 (24.9%) internally validated their model(s) and three (1.0%) validated their model(s) in an external dataset.ConclusionsThis review identified a variety of methods which are used in practice when developing or validating prediction models for recurrent events. The variability of the approaches identified is cause for concern as it indicates possible immaturity in the field and highlights the need for more methodological research to bring greater consistency in approach of recurrent event analysis. Further work is required to ensure publications report all required information and use robust statistical methods for model development and validation.PROSPERO registrationCRD42019116031.

A smartphone-based approach for comprehensive soil microbiome profiling

The soil microbiome is crucial for nutrient cycling, health, and plant growth. This study presents a smartphone-based approach as a low-cost and portable alternative to traditional methods for classifying bacterial species and characterizing microbial communities in soil samples. By harnessing bacterial autofluorescence detection and machine learning algorithms, the platform achieved an average accuracy of 88% in distinguishing common soil-related bacterial species despite the lack of biomarkers, nucleic acid amplification, or gene sequencing. Furthermore, it successfully identified dominant species within various bacterial mixtures with an accuracy of 76% and three-level soil health identification at an accuracy of 80%–82%, providing insights into microbial community dynamics. The influence of other soil conditions (pH and moisture) was relatively minor, showcasing the platform's robustness. Various field soil samples were also tested with this platform at 80% accuracy compared with the laboratory analyses, demonstrating the practicality and usability of this approach for on-site soil analysis. This study highlights the potential of the smartphone-based system as a valuable tool for soil assessment, microbial monitoring, and environmental management.

Transitioning from conventional energy to clean renewable energy in G7 countries: A signed network approach

The transition from conventional energy to clean renewable energy is becoming a global trend, and related issues are attracting widespread attention. Given the possible time-varying energy transition process, this paper proposes a dynamic signed network topology approach for empirical analysis, which is then applied to evaluate the transition from conventional energy to clean renewable energy in G7 countries. The research findings indicate a discrepancy between the positive and negative spillover effects of conventional and clean renewable energy consumption in G7 nations. The transition from conventional energy on clean renewable energy involves alternating positive and negative spillover effects. On average, oil exhibits a positive spillover effect on clean renewable energy consumption. However, the spillover effect of natural gas on clean renewable energy consumption presents an asymmetric relationship across the G7 countries.

Design and management considerations for the Kenya-Tanzania marine transboundary conservation area.

Although transboundary conservation areas (TCAs) are critical tools for protecting ecosystems and ecological processes that transcend national jurisdictions, they are challenging to create due to the differences in governance contexts and capacity and power dynamics among countries. Marine TCAs are also more difficult to enforce relative to terrestrial TCAs because most nations still treat oceans as open access. Current guidelines for TCA development and implementation also focus mostly on terrestrial TCAs, which are not practical for marine TCAs. Hence, we reviewed the challenges associated with the design and management of marine TCAs and devised analytical and practical approaches to support the application of spatial planning frameworks and adaptive governance mechanisms. We used the lessons from the review to examine the decisions made for the proposed marine TCA in the Kenya-Tanzania border region and created options and considerations to promote effective design and management processes. We found the obstacles to marine TCAs in general are related to issues of fit, particularly differences in environmental research capacity, socioeconomic contexts, and internal institutional arrangements. These included differences in knowledge and capacity for marine ecological research and conservation; ability to adjust and update data; differences in values, interests, and resource uses; conservation costs; jurisdictional differences; engagement of multiple levels of organization; and differences in legal bases and policy development processes. Understanding and reconciling these challenges during the TCA development process can help enhance meaningful discussions in the design of the TCA and cultivate the enabling conditions for collaborative governance across countries and within different levels of organization from national to local actors.