bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinician perspectives on endings and discharges in community mental health work
Authors: Moore Isobel , Archard Philip John , Simmonds Sarah 
Published: October 2024

Purpose
The process of ending mental health support is often not well-attended to in practice or research, and clinicians in UK mental health services lack focused clinical guidance in this area. This paper aims to report on a service evaluation that sought to understand from clinicians working in a single adult community mental health team (CMHT) their experiences of discharge and issues arising in the process, factors considered in decision-making and what constitutes “good” endings and what support could be helpful to them in navigating this with clients.

Design/methodology/approach
Semi-structured interviews were completed with six members of the multi-disciplinary team and analysed thematically.

Findings
Clinicians described a range of criteria considered in discharge decision-making. Collaboration, planning and preparation were represented as key ingredients for “good” endings. Factors viewed as complicating discharge included complexity and changes in presentation, psychosocial contexts and re-referrals. Perceptions of clients’ feelings (resistance and dependence, fear and anger, relief and gratitude) and varying feelings evoked for clinicians (from little or no reported impact, to pride and confidence, sadness and worry) at the ending of the working relationship were reported. Suggested organisational supports for clinicians with endings and discharges involved opportunities to consult with colleagues, psychological formulation and advice and reflective supervision.

Originality/value
There has been limited empirical attention to practitioner experiences of discharge in the work of CMHTs in a UK context; this practitioner-led evaluation explored clinician perspectives.
Numerical characterizations of the thermomechanical response of power modules with ceramic substrates and lead-free bonds
Authors: Gharaibeh Mohammad A. , Wilde Jürgen 
Published: October 2024

PurposeThe present paper aims to study the influence of the substrate system on the thermomechanical response of various lead-free die attach materials used in power electronics using nonlinear finite element simulations.Design/methodology/approachParticularly, three ceramic substrate systems, including direct copper bonded (DCB) and aluminum nitride (AlN) – as well as silicon nitride (Si3N4) –based insulated metal substrate (IMS) configurations are examined in this study. Additionally, three die attach systems, namely, silver-tin transient liquid phase (TLP), sintered silver (Ag) and sintered copper (Cu) are included in the analysis. ANSYS software is employed to build the finite element models of the power modules and to conduct the nonlinear thermomechanical investigations.FindingsThe simulation results revealed that the IMS, Si3N4 and DCB-based power modules end up with significantly lower interconnect inelastic strains and inelastic strain energies suggesting better fatigue life performance. Additionally, the bonding layer stresses and expected failure mechanism are not influenced by the substrate configuration rather than the bond material. For instance, the silver-tin TLP joints develop high stresses and hence brittle failures are expected. Nonetheless, the sintered Ag and sintered Cu have significantly lower stresses which could lead to fatigue-induced failures.Originality/valuePower electronics use various ceramic-based substrate systems because of their improved thermal conductivity, electrical insulation and heat resistance properties. The proper selection of the substrate structure could highly enhance the thermal fatigue of the power modules. Markedly, the findings of this research are useful for designing highly reliable and effective power modules continuously subjected to thermomechanical loadings.
Teacher perspectives of ChatGPT as a pedagogical tool in the K-12 setting: a case study
Authors: Bateman Tiffani 
Published: October 2024

Purpose
The purpose of this exploratory qualitative case study is to gain a deeper understanding of teacher experiences and perspectives of ChatGPT as a pedagogical tool.

Design/methodology/approach
This qualitative exploratory case study examined the benefits and concerns of using ChatGPT for curriculum and instruction. Approximately 3,000 graduate education students completed a survey and an invitation to participate in focus groups. Purposive sampling criteria included graduate education students holding a current teaching certificate and actively teaching in a K-12 setting. The sample resulted in 225 survey respondents, with 12 teachers from this group also participating in three focus group sessions. Data analysis involved descriptive statistics for the survey data and inductive thematic analysis was used to identify themes from the focus group transcripts.

Findings
Results suggest ChatGPT saves teachers time, expedites access to resources, helps create lessons and is a resource for student learning while concerns arose regarding artificial intelligence (AI) and student cheating. As teachers’ comfort level with ChatGPT increased, their perception of AI as a useful pedagogical tool increased and their perception of ChatGPT as an academic hindrance decreased.

Research limitations/implications
Results from this study are not generalizable; however, the description provided allows for transferability to similar populations.

Practical implications
This study provides guidelines for a balanced approach for policies regarding AI in the K-12 setting and using ChatGPT an instructional tool while providing clear communication regarding unethical practices.

Originality/value
This study provides guidelines for framing teacher training in the technology acceptance model and providing a balanced approach for implementing AI policies while promoting using ChatGPT and other AI technologies for curriculum and instruction in the K-12 classroom.
Prediction model of surrounding rock deformation in double-continuous-arch tunnel based on the ABC-WNN
Authors: Zhang Yahui 
Published: October 2024

PurposeThe wavelet neural network (WNN) has the drawbacks of slow convergence speed and easy falling into local optima in data prediction. Although the artificial bee colony (ABC) algorithm has strong global optimization ability and fast convergence speed, it also has the drawbacks of slow speed while finding the optimal solution and weak optimization ability in the later stage.Design/methodology/approachThis article uses an ABC algorithm to optimize the WNN and establishes an ABC-WNN analysis model. Based on the example of the Jinan Yuhan underground tunnel project, the deformation of the surrounding rock of the double-arch tunnel crossing the fault fracture zone is predicted and analyzed, and the analysis results are compared with the actual detection amount.FindingsThe comparison results show that the predicted values of the ABC-WNN model have a high degree of fitting with the actual engineering data, with a maximum relative error of only 4.73%. On this basis, the results show that the statistical features of ABC-WNN are the lowest, with the errors at 0.566 and 0.573, compared with the single back propagation (BP) neural network model and WNN model. Therefore, it can be derived that the ABC-WNN model has higher prediction accuracy, better computational stability and faster convergence speed for deformation.Originality/valueThis article uses firstly the ABC-WNN for the deformation analysis of double-arch tunnels. This attempt laid the foundation for artificial intelligence prediction in deformation analysis of multi-arch tunnels and small clearance tunnels. It can provide a new and effective way for deformation prediction in similar projects.
Enhancing M-Government service adoption in Saudi Arabia: the role of mobile edge computing in moderating technology acceptance
Authors: Nusir Muneer 
Published: October 2024

Purpose
Mobile edge computing (MEC) services have long been used by private enterprises in Saudi Arabia with considerable success; however, there has been a stark lack of insight into how these services can be used to improve mobile government (M-Government) services for KSA citizens. This study aims to bridge this gap by integrating MEC with an enhanced version of the technology acceptance model (TAM) and examining its effects on user behavior and acceptance.

Design/methodology/approach
A closed-ended survey was administered to 1,500 people, and the responses were analyzed using sophisticated advanced statistical techniques to test an expanded TAM, using a quantitative method that uses structural equation modeling to validate the proposed model and hypotheses.

Findings
This study reveals that MEC significantly influences users’ intentions about using M-Government services and their tolerance for new technology adoption. Specifically, service cost and social influence are positively linked with end users’ intention to adopt M-Government services.

Originality/value
The novelty and contribution of this paper to existing literature are in highlighting the pivotal role of MEC in transforming public sector service delivery through technology. This study not only supports the adoption of M-Government services to enhance social welfare but also demonstrates and concludes some practical and theoretical ramifications of MEC service adoption.
Rearing impacts on dispersal and biocontrol performance: A case study on Phytoseiulus persimilis
Authors: Willden Samantha A. , Nyrop Jan , Sanderson John , Wentworth Karen , Stockton Dara G. , Loeb Gregory M. 
Published: October 2024

Abstract

Ecological theory on predator–prey interactions and an understanding of how environmental factors affect predator dispersal and host finding is foundational to biological control of herbivorous pests in agricultural systems. However, our knowledge about the potential interaction between (A) the individual experience or conditioning of the arthropod predator based on its rearing environment and (B) the environmental conditions at the ultimate release site to control a particular pest is quite limited.

We hypothesized that simplified rearing conditions present in commercial insectaries may produce predators that are less adept to navigate complex and challenging crop systems compared to those reared on target crops. We chose Phytoseiulus persimilis (Phytoseiidae) as a case study because it is an important commercialized predator of the twospotted spider mite on diverse crops worldwide. We established colonies of P. persimilis on bean (commercial rearing host plant) and strawberry (target crop plant) for over five generations and compared patterns of ambulatory dispersal when released on bean or strawberry and feeding efficiency on strawberry.

Dispersal of P. persimilis was largely predicted by the presence of prey (higher dispersal when prey was absent), followed by the host on which predators were released (higher dispersal on bean compared to strawberry), and lastly by source colony (few examples of a significant difference). We found little evidence of an interaction between the two latter main effects. Rather, they were likely independent and additive. Prey consumption by P. persimilis on strawberry was higher for P. persimilis reared on strawberry compared to bean, but this did not translate into higher rates of oviposition.

Synthesis and applications. This study provides insight into sources of variation in dispersal and host finding behaviour of biocontrol agents that may help to predict biocontrol success. To compensate for prey availability and host plant effects on predator dispersal and biocontrol efficacy, we suggest that release rates and strategies should be tailored to host plants given their physical characteristics and prey quality.
Genome‐wide differentiation corresponds to climatic niches in two species of lichen‐forming fungi
Authors: Wong Edgar L. Y. , Valim Henrique F. , Schmitt Imke 
Published: October 2024

AbstractLichens can withstand fluctuating environmental conditions such as hydration‐desiccation cycles. Many species distribute across climate zones, suggesting population‐level adaptations to conditions such as freezing and drought. Here, we aim to understand how climate affects population genomic patterns in lichenized fungi. We analysed population structure along elevational gradients in closely related Umbilicaria phaea (North American; two gradients) and Umbilicaria pustulata (European; three gradients). All gradients showed clear genomic breaks splitting populations into low‐elevation (Mediterranean zone) and high‐elevation (cold temperate zone). A total of 3301 SNPs in U. phaea and 138 SNPs in U. pustulata were driven to fixation between the two ends of the gradients. The difference between the species is likely due to differences in recombination rate: the sexually reproducing U. phaea has a higher recombination rate than the primarily asexually reproducing U. pustulata. Cline analysis revealed allele frequency transitions along all gradients at approximately 0°C, coinciding with the transition between the Mediterranean and cold temperate zones, suggesting freezing is a strong driver of population differentiation. Genomic scans further confirmed temperature‐related selection targets. Both species showed similar differentiation patterns overall, but different selected alleles indicate convergent adaptation to freezing. Our results enrich our knowledge of fungal genomic functions related to temperature and climate, fungal population genomics, and species responses to environmental heterogeneity.
From food inflation to cash transfers and food subsidies: Assessing impacts on households' consumption and welfare in Togo
Authors: Bayale Nimonka , Lanie Tomgouani , Ngaba Eric Allara , Nagou Madow , Abah Kokou 
Published: October 2024

AbstractThis paper assesses the impacts of food price increase on households' consumption and welfare in Togo and the efficiency of policy measures, such as cash transfers and food subsidies, implemented by the Togolese government to dampen the adverse impacts. A computable general equilibrium (CGE) model is used given its appropriateness in handling economy‐wide and the welfare effect of specific policies. Simulation results show that an increase in food prices has adversely affected the consumption and welfare of all categories of households. The most affected households are self‐employed in the agriculture and other sectors, seasonal workers, trainees, and housekeepers. However, the study reveals that these adverse effects are mitigated by the government's policy responses, notably through cash transfers and food subsidies. Furthermore, the cash transfer policy seems to have a slightly greater positive effect on household consumption and welfare in response to rising food prices in Togo compared to food subsidies. This indicates that cash transfers mitigated the negative impact of food price increases on the population more effectively than food subsidies policies. These findings offer valuable insights for policymakers in optimizing public interventions and striking a balance between various policy options to address hunger and malnutrition within targeted households in Togo.
The Multilevel Implications of a Sinn Féin Government in Ireland
Authors: Kelly Conor J. 
Published: October 2024

AbstractThe electoral growth of Sinn Féin on both sides of the Irish border has generated much political and academic attention in recent years. The party could form part of the government in Dublin for the first time at the next Irish general election, though that outcome is far from certain. If it were to gain power, Sinn Féin is likely to pursue policies which address the core socioeconomic issues its new supporters south of the border are concerned with, namely housing and healthcare. It will also be expected to push for an Irish unification referendum in the coming decade. While Sinn Féin entering government would clearly constitute a seismic event in the politics of the Irish state, there would also be knock‐on effects for politics in Northern Ireland, as well as British‐Irish and EU‐Irish relations. This article examines the impact Sinn Féin gaining power in Dublin could have on these various political dynamics, arguing the party exerts a unique influence on Irish, UK and European politics.
Coffee substitutes: A review of the technology, characteristics, application, and future perspective
Authors: Tahmouzi Sima , Nasab Sara Sanaei , Alizadeh‐Salmani Behnam , Zare Leila , Mollakhalili‐Meybodi Neda , Nematollahi Amene 
Published: October 2024

AbstractDespite being one of the most frequently consumed beverages worldwide, there are concerns that excessive consumption of coffee can have adverse effects, especially concerning the addictive and stimulating effects of the alkaloid caffeine, which contributes to coffee's popularity. It is known to increase the risk of hypertension and heart rate among predisposed individuals, adversely affecting the nervous system. Even though they differ in nature from those found in coffee, coffee substitutes can be considered economically and health‐wise as a favorable alternative to natural coffee brews. This review summarizes the state‐of‐the‐art varieties of plants used as coffee substitutes and discusses their production technology, chemical composition, nutritional properties, health benefits, economic challenges, and rationale for choosing the plant as a substitute for coffee. Various instant products and coffee substitute blends are also available on the market especially based on different kinds of plants and herbs like ginger, rye, date pits, quinoa, lupine, chicory, barley, rye, oak, and so on. These coffee substitutes have several advantages especially having no caffeine and containing different beneficial phytochemicals, although the results of the difference between the levels of harmful compounds in coffee and coffee substitutes were contradictory. Therefore, it is no wonder that the development of coffee substitutes, which are beverages that are able to mimic the taste and aroma of coffee, is on the rise at present.
Future perspectives: Current trends and controversies of meat alternatives classified as ultra‐processed foods
Authors: Lee Seung Yun , Lee Da Young , Hur Sun Jin 
Published: October 2024

AbstractThis study reviewed the current state of meat alternatives including plant‐based or cell‐based ingredients and discussed the contentious factor surrounding the classification of meat alternatives as ultra‐processed foods (UPFs). The term UPFs refers to foods undergoing extensive industrial processing and containing additives such as flavors, colors, emulsifiers, and preservatives. There is growing concern regarding the potential adverse effects of UPF consumption on health, nutrition, and sociodemographic factors. Additionally, this study examined the market potential, drivers, and barriers associated with different types of meat alternatives. In light of barriers focused on UPFs, meat alternatives can be disputed in that they undergo extensive processing and are highly processed, including numerous ingredients, while meat alternatives offer potential solutions to the environmental, ethical, and health issues associated with animal meat consumption. Consequently, it is important to distinguish them from other UPFs, which are known to have detrimental effects on health. Therefore, this paper proposed a reassessment of the UPF classification system, the establishment of uniform nutritional profiles for meat alternatives, and the dissemination of their beneficial impacts. These measures are necessary to validate the exclusion of meat alternatives from the UPF category and to promote their development and adoption.
Understanding the impact of the gut microbiome on opioid use disorder: Pathways, mechanisms, and treatment insights
Authors: Kazemian Negin , Pakpour Sepideh 
Published: October 2024

AbstractThe widespread use of opioids for chronic pain management not only poses a significant public health issue but also contributes to the risk of tolerance, dependence, and addiction, leading to opioid use disorder (OUD), which affects millions globally each year. Recent research has highlighted a potential bidirectional relationship between the gut microbiome and OUD. This emerging perspective is critical, especially as the opioid epidemic intensifies, emphasizing the need to investigate how OUD may alter gut microbiome dynamics and vice versa. Understanding these interactions could reveal new insights into the mechanisms of addiction and tolerance, as well as provide novel approaches for managing and potentially mitigating OUD impacts. This comprehensive review explores the intricate bidirectional link through the gut–brain axis, focusing on how opiates influence microbial composition, functional changes, and gut mucosal integrity. By synthesizing current findings, the review aims to inspire new strategies to combat the opioid crisis and leverage microbiome‐centred interventions for preventing and treating OUD.
The effects of Pseudomonas strains isolated from Achnatherum inebrians on plant growth: A genomic perspective
Authors: Liang Jinjin , Liu Bowen , Christensen Michael J. , Li Chunjie , Zhang Xingxu , Nan Zhibiao 
Published: October 2024

AbstractAchnatherum inebrians is a perennial grass widely distributed in northwest China. Nearly all wild A. inebrians plants are infected by Epichloë endophytes. In this study, bacteria from the phyllosphere were isolated from leaves of both endophyte‐free and endophyte‐infected A. inebrians and sequenced for identification. Pseudomonas, comprising 48.12% of the culturable bacterial communities, was the most dominant bacterial genus. Thirty‐four strains from 12 Pseudomonas species were used to inoculate A. inebrians seeds and plants. Results indicated that Epichloë significantly increased the diversity and richness index of the phyllosphere. Pseudomonas Sp1, Sp3, Sp5 and Sp7 had a significantly positive effect on plant growth and photosynthesis, whereas Sp10, Sp11 and Sp12 had a significantly negative effect. Whole‐genome and pan‐genome analysis suggested that the variability in the effects of Pseudomonas on A. inebrians was related to differences in genome composition and genomic islands.
SOX17 expression in tumor‐penetrating vessels in relation to CD8+ T‐cell infiltration in cancer stroma niches
Authors: Yamamoto Hirotaka , Hanamatsu Yuki , Saigo Chiemi , Takeuchi Tamotsu , Iwata Hisashi 
Published: October 2024

AbstractIntroductionSex‐determining region Y‐related high‐mobility group box 17 protein (SOX17), a proangiogenic transcription factor, is specifically expressed in tumor endothelial cells (TECs) of implanted Lewis lung carcinoma. However, the expression profile of SOX17 is largely unknown in human lung cancer. We aimed to elucidate SOX17 expression in cancer cells and the tumor microenvironment of lung adenocarcinoma.MethodsIn the present study, we examined SOX17 expression in whole‐tissue specimens of 83 lung adenocarcinomas by immunohistochemistry.ResultsSOX17 immunoreactivity was minimal in lung adenocarcinoma cells, except in five non‐mucinous adenocarcinomas in situ. SOX17 was also expressed in cultured A549 lung adenocarcinoma cells, which is widely used as a model of malignant alveolar type II epithelial cells. Notably, SOX17 immunoreactivity was found in endothelial cells of tumor‐penetrating vessels in 19 of 83 lung adenocarcinoma tissue specimens, with statistical significance to stromal infiltration of CD8+ T cells (p < 0.01) but was not associated with the number of tertiary lymph nodes. Although not statistically significant, SOX17 immunoreactivity was related to favorable patient outcomes.ConclusionOur findings indicate that SOX17 might play a pleiotropic role in lung adenocarcinoma in cancer cells and stromal niches. SOX17‐mediated CD8+ T‐cell‐rich tumor microenvironment might attract interest in improving the effect of cancer immunotherapy.