bluuebunny/crossref_metadata_2025_split huggingface dataset:
The semi-analytical model of capacitive imaging (CI) sensors based on the renormalization group method
Authors: Li Zhen , Han Jianqing , Zhao Mingrui , Zhang Yongbo , Wang Yanzhe , Zhang Cong , Chang Lin 
Published: April 2024

Purpose
This study aims to design and validate a theoretical model for capacitive imaging (CI) sensors that incorporates the interelectrode shielding and surrounding shielding electrodes. Through experimental verification, the effectiveness of the theoretical model in evaluating CI sensors equipped with shielding electrodes has been demonstrated.

Design/methodology/approach
The study begins by incorporating the interelectrode shielding and surrounding shielding electrodes of CI sensors into the theoretical model. A method for deriving the semianalytical model is proposed, using the renormalization group method and physical model. Based on random geometric parameters of CI sensors, capacitance values are calculated using both simulation models and theoretical models. Three different types of CI sensors with varying geometric parameters are designed and manufactured for experimental testing.

Findings
The study’s results indicate that the errors of the semianalytical model for the CI sensor are predominantly below 5%, with all errors falling below 10%. This suggests that the semianalytical model, derived using the renormalization group method, effectively evaluates CI sensors equipped with shielding electrodes. The experimental results demonstrate the efficacy of the theoretical model in accurately predicting the capacitance values of the CI sensors.

Originality/value
The theoretical model of CI sensors is described by incorporating the interelectrode shielding and surrounding shielding electrodes into the model. This comprehensive approach allows for a more accurate evaluation of the detecting capability of CI sensors, as well as optimization of their performance.
A review of surface acoustic wave sensors: mechanisms, stability and future prospects
Authors: Tang Zhaozhao , Wu Wenyan , Yang Po , Luo Jingting , Fu Chen , Han Jing-Cheng , Zhou Yang , Wang Linlin , Wu Yingju , Huang Yuefei 
Published: April 2024

Purpose
Surface acoustic wave (SAW) sensors have attracted great attention worldwide for a variety of applications in measuring physical, chemical and biological parameters. However, stability has been one of the key issues which have limited their effective commercial applications. To fully understand this challenge of operation stability, this paper aims to systematically review mechanisms, stability issues and future challenges of SAW sensors for various applications.

Design/methodology/approach
This review paper starts with different types of SAWs, advantages and disadvantages of different types of SAW sensors and then the stability issues of SAW sensors. Subsequently, recent efforts made by researchers for improving working stability of SAW sensors are reviewed. Finally, it discusses the existing challenges and future prospects of SAW sensors in the rapidly growing Internet of Things-enabled application market.

Findings
A large number of scientific articles related to SAW technologies were found, and a number of opportunities for future researchers were identified. Over the past 20 years, SAW-related research has gained a growing interest of researchers. SAW sensors have attracted more and more researchers worldwide over the years, but the research topics of SAW sensor stability only own an extremely poor percentage in the total researc topics of SAWs or SAW sensors.

Originality/value
Although SAW sensors have been attracting researchers worldwide for decades, researchers mainly focused on the new materials and design strategies for SAW sensors to achieve good sensitivity and selectivity, and little work can be found on the stability issues of SAW sensors, which are so important for SAW sensor industries and one of the key factors to be mature products. Therefore, this paper systematically reviewed the SAW sensors from their fundamental mechanisms to stability issues and indicated their future challenges for various applications.
Effect of smartphone addiction on compulsive app downloading tendency: protective factors for generation Z consumers
Authors: Jimenez Nadia , San Martin Sonia , Rodríguez-Torrico Paula 
Published: April 2024

Purpose
This study aims to focus on how smartphone addiction impacts young consumer behavior related to mobile technology (i.e. the compulsive app downloading tendency). After a thorough literature review and following the risk and protective factors framework, this study explores factors that could mitigate its effects (resilience, family harmony, perceived social support and social capital).

Design/methodology/approach
The study used the covariance-based structural equation modeling approach to analyze data collected from 275 Generation Z (Gen Z) smartphone users in Spain.

Findings
Results suggest that resilience is a critical factor in preventing smartphone addiction, and smartphone addiction boosts the compulsive app downloading tendency, a relevant downside for younger Gen Z consumers.

Originality/value
Through the lens of the risk and protective factors framework, this study focuses on protective factors to prevent smartphone addiction and its negative side effects on app consumption. It also offers evidence of younger consumers’ vulnerability to smartphone addiction, not because of the device itself but because of app-consumption-related behaviors.
Everyone will know someone who died of Corona: Government threat language during the COVID‐19 pandemic
Authors: DINGLER SARAH C. , HAYEK LORE , SCHWADERER CHRISTIAN , SENN MARTIN , KRAXBERGER ANDREAS M. , RAGHEB NADA 
Published: April 2024

AbstractThreat language is an important, albeit ambivalent, element of political crisis communication. It raises public awareness and enhances compliance with emergency measures, but, if overused, it also carries the risk of making governments appear overwhelmed by a crisis. Research on political communication during the COVID‐19 pandemic has so far only produced very limited insights into the use of threat language by governments. To address this gap in the literature, our article analyses which factors influence the likelihood of threat language in the crisis communication of governments. We argue that individual‐level factors (politician vs. non‐politician and gender) shape the odds of including threat language and that contextual factors (time and subject area) determine the probability with which speakers employ this communication tool.Based on a unique dataset of 1108 press conferences with 433 speakers in 17 OECD countries and three US states, we demonstrate that men are slightly more prone to employ threat language than women. The most important determinant of its use, however, is the subject area that speakers are addressing. In particular, in the context of the health system and public management, speeches are likely to be associated with risks, dangers, and threats. Overall, our findings imply that crisis communication across countries is not as diverse as indicated by previous literature. Once countries are facing a comparable challenge, political actors largely communicate in a similar manner.
Sex estimation research trends in forensic anthropology between 2000 and 2022 in five prominent journals
Authors: Ferrell Morgan J. , Schultz John J. , Adams Donovan M. 
Published: April 2024

AbstractIn forensic anthropology, osteological sex estimation methods are continuously reevaluated and updated to improve classification accuracies. Therefore, to gain a comprehensive understanding of recent trends in sex estimation research in forensic anthropology, a content analysis of articles published between 2000 and 2022 in Forensic Science International, the Journal of Forensic Sciences, the International Journal of Legal Medicine, the American Journal of Biological Anthropology, and Forensic Anthropology, was performed. The main goals of this content analysis were to (1) examine trends in metric versus morphological research, (2) examine which areas of the skeleton have been explored, (3) examine which skeletal collections and population affinities have been most frequently utilized, and (4) determine which statistical methods were commonly implemented. A total of 440 articles were coded utilizing MAXQDA and the resulting codes were exported for analysis. Statistical analyses were conducted utilizing the Cochran‐Armitage and Jonckheere‐Terpstra tests for trends, as well as Fisher–Freeman–Halton tests. The results demonstrate that sex estimation research published in these journals has prioritized metric over morphological methods. Further, the most utilized skeletal regions continue to be the skull and pelvis, while the most popular classification statistics continue to be discriminant function analysis and logistic regression. This study also demonstrates that a substantial portion of research has been conducted utilizing U.S. and Europe‐based collections and limited populations. Based on these results, future sex estimation research must continue exploring the use of long bones and other postcranial elements, testing newer methods of analysis, as well as developing population‐inclusive methods.
Reflections on co‐productive research in a youth‐focused climate education project
Authors: Portus Rosamund , Williams Sara‐Jayne , Mansikka‐aho Anette , Reilly Kathy , Aarnio‐Linnanvuori Essi , de Vito Laura , Dillon Bronagh , Fahy Frances , Gnecco Ilaria , Palla Anna , Sposito Sabrina , McEwen Lindsey 
Published: April 2024

AbstractThe 1989 UN Convention on the Rights of the Child emphasises the value of listening to young people’s voices. Since its inception, there have been significant moves to involve young people in research that concerns their lives in a time of environmental emergency. Drawing on critical analysis of our work with Youth Action Partnerships (YAPs), this article explores how co‐production with young people can effectively be achieved and offers meaningful ways for young people to share their stories in a time of climate crisis. We draw on rich insights from our experience of working in partnership with young people and explore how they have been supported to shape and influence the research process. Our findings enable us to build on Hickey’s five principles for co‐production with adults in a health and social care context. We show that, in addition to those, there is need to consider three other principles when co‐working with youth. We embed the eight principles for co‐production in a new model for effective co‐production with young people to support researchers to successfully prepare for, and implement, such co‐production processes in other work.
Cranial variation in species and subspecies of kangaroo rats (Dipodomys, Dipodomyinae, Rodentia) according to geometric morphometrics
Authors: ALHAJERI Bader H. 
Published: April 2024

AbstractTraditional Dipodomys (sub)species identification uses geography, phenotype, and external/skull measurements. Such measurements are correlated with size and thus redundant. I assessed the value of scaled cranial shape, based on two‐dimensional landmarks (analyzed using geometric morphometric methods) in distinguishing Dipodomys taxa, and in summarizing their variation. My dataset includes 601 adult specimens from 20 species (49 operational taxonomic units ‐ OTUs) across 190 localities. Cranial shape was highly useful in classifying Dipodomys taxa without considering geography. The auditory bulla was the most variable region—taxa differed in its hypertrophy, accompanied by different degrees of nearby structure crowding. Cranial shape was weakly allometric, with no significant sexual dimorphism. Weak size dimorphism was detected. (Sub)specific taxonomy is not reflective of shape variation, as the number of subspecies per species is not associated with disparity. Shape had significant phylogenetic signal, but subspecies did not always cluster with conspecifics and species did not always cluster according to phylogenetic relationship/taxonomy. Shape variation was correlated with climate, and species differed in morphological disparity and degree of specialization, which may contribute to divergence in shape variation patterns from phylogeny. D. deserti was the most specialized species, diverging greatly from the genus mean; D. heermanni was the least specialized. This study provides new insights into morphological variation of North American keystone species, several of conservation interest, for example, D. heermanni berkeleyensis, D. h. dixoni, D. nitratoides brevinasus, and D. n. nitratoides.
Production of probiotic fermented salami using Lacticaseibacillus rhamnosus, Lactiplantibacillus plantarum, and Bifidobacterium lactis
Authors: Tukel Olcay , Sengun Ilkin 
Published: April 2024

AbstractThe objectives of the study were to improve the functionality of fermented salami using probiotics, to evaluate the effects of the addition of probiotics on the physicochemical and microbiological characteristics and sensory acceptance of fermented salami, and to introduce a brand‐new probiotic food to the market for meat products. Fermented salami samples were produced using various formulations, including no probiotic (A), non‐probiotic starter cultures (B) or probiotic cultures [Lacticaseibacillus rhamnosus LR32 200B (C), Lactiplantibacillus plantarum LP115 400B (D), Bifidobacterium lactis BB12 (E), and L. rhamnosus LR32 200B + L. plantarum LP115 400B (F)]. The samples were kept at 4°C for 60 days, and their probiotic viability as well as their chemical, physical, microbiological, and sensory qualities were assessed at intervals of 0, 15, 30, 45, and 60 days. The probiotic addition enhanced the safety and quality of the product while favorably affecting the microbiological, physical, chemical, and sensory properties of the samples. The sample produced with mixed probiotics (F) had the highest moisture and fat content and the lowest pH. Lactic acid bacteria counts were found above 6.0 log CFU/g in the samples produced with probiotic at the end of the storage. Probiotic added products were rated higher than products without probiotics in terms of color, texture, flavor, and overall acceptance during storage. Consequently, a probiotic fermented salami with high probiotic cell counts and meeting the sensory preferences of the consumers was produced.
Therapeutic drug monitoring in inflammatory bowel disease patients on vedolizumab
Authors: Ansari Mohammed , Glassner Kerri , Irani Malcolm , Saleh Adam , Wang Lin , Ezeana Chika , Wong Stephen , Perry Caroline , Abraham Bincy 
Published: April 2024

ObjectiveWe aimed to investigate whether vedolizumab (VDZ) levels were associated with inflammatory markers or clinical or endoscopic scoring in inflammatory bowel disease (IBD).MethodsBesides demographic data, clinical scoring, endoscopic data, and laboratory markers of IBD patients treated with VDZ from 2015 to 2020 who had trough levels drawn on maintenance therapy were collected at baseline and at follow‐up (after at least 8 weeks on VDZ therapy or after change in dose frequency). Low drug levels were defined as VDZ trough <20 μg/mL.ResultsWe identified 89 patients with a mean age of 42.9 years. Of the 90 total trough levels drawn, 61.1% were low. Among patients on every 8 week (Q8 week) VDZ dosing, 81.5% had low troughs. After increasing dosing frequency to Q4 weeks, all patients showed improvement in VDZ levels, but 30.6% remained <20 μg/mL. Higher VDZ levels on Q8 week dosing were associated with higher albumin levels (P = 0.01). While higher VDZ levels on Q4 week dosing were associated with higher albumin (P = 0.02), lower erythrocyte sedimentation rate (P = 0.04) and higher likelihood of having mild disease or endoscopic remission (P = 0.01). No significant association was found between VDZ levels and clinical scoring, body mass index, hemoglobin, vitamin D or platelet levels on either Q8 or Q4 week dosing.ConclusionsHigher VDZ troughs were associated with higher albumin, mild endoscopic disease or endoscopic remission. Patients who continue to have low VDZ troughs despite Q4 week dosing may require a change in therapy.
Increased risk of cardiovascular and renal disease, and diabetes for all women diagnosed with gestational diabetes mellitus in New Zealand—A national retrospective cohort study
Authors: Daly Barbara M. , Wu Zhenqiang , Nirantharakumar Krishnarajah , Chepulis Lynne , Rowan Janet A. , Scragg Robert K. R. 
Published: April 2024

AbstractBackgroundGestational diabetes mellitus increases the risk of developing type 2 diabetes. The aim of this study is to compare cardiometabolic and renal outcomes for all women in New Zealand with gestational diabetes (2001–2010) with women without diabetes, 10–20 years following delivery.MethodsA retrospective cohort study, utilizing a national dataset providing information for all women who gave birth between 1 January 2001 and 31 December 2010 (n = 604 398). Adolescent girls <15 years, women ≥50 years and women with prepregnancy diabetes were excluded. In total 11 459 women were diagnosed with gestational diabetes and 11 447 were matched (for age and year of delivery) with 57 235 unexposed (control) women. A national hospital dataset was used to compare primary outcomes until 31 May 2021.ResultsAfter controlling for ethnicity, women with gestational diabetes were significantly more likely than control women to develop diabetes—adjusted hazard ratio (HR) 20.06 and 95% confidence interval (CI) 18.46–21.79; a first cardiovascular event 2.19 (1.86–2.58); renal disease 6.34 (5.35–7.51) and all‐cause mortality 1.55 (1.31–1.83), all p values <.0001. The HR and 95% CI remained similar after controlling for significant covariates: diabetes 18.89 (17.36–20.56), cardiovascular events 1.79 (1.52–2.12), renal disease 5.42 (4.55–6.45), and all‐cause mortality 1.44 (1.21–1.70). When time‐dependent diabetes was added to the model, significance remained for cardiovascular events 1.33 (1.10–1.61), p = .003 and renal disease 2.33 (1.88–2.88), p < .0001 but not all‐cause mortality.ConclusionsWomen diagnosed with gestational diabetes have an increased risk of adverse cardiometabolic and renal outcomes. Findings highlight the importance of follow‐up screening for diabetes, cardiovascular risk factors, and renal disease.image
Microbial and metabolomic profiles of type 1 diabetes with depression: A case–control study
Authors: Liu Ziyu , Yue Tong , Zheng Xueying , Luo Sihui , Xu Wen , Yan Jinhua , Weng Jianping , Yang Daizhi , Wang Chaofan 
Published: April 2024

AbstractBackgroundDepression is the most common psychological disorder in patients with type 1 diabetes (T1D). However, the characteristics of microbiota and metabolites in these patients remain unclear. This study aimed to investigate microbial and metabolomic profiles and identify novel biomarkers for T1D with depression.MethodsA case–control study was conducted in a total of 37 T1D patients with depression (TD+), 35 T1D patients without depression (TD−), and 29 healthy controls (HCs). 16S rRNA gene sequencing and liquid chromatography–mass spectrometry (LC–MS) metabolomics analysis were conducted to investigate the characteristics of microbiota and metabolites. The association between altered microbiota and metabolites was explored by Spearman's rank correlation and visualized by a heatmap. The microbial signatures to discriminate TD+ from TD− were identified by a random forest (RF) classifying model.ResultsIn microbiota, 15 genera enriched in TD− and 2 genera enriched in TD+, and in metabolites, 14 differential metabolites (11 upregulated and 3 downregulated) in TD+ versus TD− were identified. Additionally, 5 genera (including Phascolarctobacterium, Butyricimonas, and Alistipes from altered microbiota) demonstrated good diagnostic power (area under the curve [AUC] = 0.73; 95% CI, 0.58–0.87). In the correlation analysis, Butyricimonas was negatively correlated with glutaric acid (r = −0.28, p = 0.015) and malondialdehyde (r = −0.30, p = 0.012). Both Phascolarctobacterium (r = 0.27, p = 0.022) and Alistipes (r = 0.31, p = 0.009) were positively correlated with allopregnanolone.ConclusionsT1D patients with depression were characterized by unique profiles of gut microbiota and serum metabolites. Phascolarctobacterium, Butyricimonas, and Alistipes could predict the risk of T1D with depression. These findings provide further evidence that the microbiota–gut–brain axis is involved in T1D with depression.image
The potential of 5‐methoxy‐N,N‐dimethyltryptamine in the treatment of alcohol use disorder: A first look at therapeutic mechanisms of action
Authors: Tap Stephan C. 
Published: April 2024

AbstractAlcohol use disorder (AUD) remains one of the most prevalent psychiatric disorders worldwide with high economic costs. Current treatment options show modest efficacy and relapse rates are high. Furthermore, there are increases in the treatment gap and few new medications have been approved in the past 20 years. Recently, psychedelic‐assisted therapy with psilocybin and lysergic acid diethylamide has garnered significant attention in the treatment of AUD. Yet, they require significant amounts of therapist input due to prolonged subjective effects (~4–12 h) leading to high costs and impeding implementation. Accordingly, there is an increasing interest in the rapid and short‐acting psychedelic 5‐methoxy‐N,N‐dimethyltryptamine (5‐MeO‐DMT). This paper offers a first look at potential therapeutic mechanisms for AUD by reviewing the current literature on 5‐MeO‐DMT. Primarily, 5‐MeO‐DMT is able to induce mystical experiences and ego‐dissolution together with increases in psychological flexibility and mindfulness. This could decrease AUD symptoms through the alleviation of psychiatric mood‐related comorbidities consistent with the negative reinforcement and self‐medication paradigms. In addition, preliminary evidence indicates that 5‐MeO‐DMT modulates neural oscillations that might subserve ego‐dissolution (increases in gamma), psychological flexibility and mindfulness (increases in theta), and the reorganization of executive control networks (increases in coherence across frequencies) that could improve emotion regulation and inhibition. Finally, animal studies show that 5‐MeO‐DMT is characterized by neuroplasticity, anti‐inflammation, 5‐HT2A receptor agonism, and downregulation of metabotropic glutamate receptor 5 with clinical implications for AUD and psychiatric mood‐related comorbidities. The paper concludes with several recommendations for future research to establish the purported therapeutic mechanisms of action.