bluuebunny/crossref_metadata_2025_split huggingface dataset:
Arsenic exposure and measures of glucose tolerance in Bangladeshi adults: A cross-sectional study
Authors: Mazumdar Maitreyi , Wang Xingyan , Biswas Subrata K. , Biswas Partha Pratim , Farooque Afifah , Lee Mi-Sun , North Crystal M. , Afroz Sakila , Husain Nazmul , Islam Fuadul , Mostofa Md Golam , Mow Sadia , Liang Liming , Hug Christopher , Ludwig David S. , Quamruzzaman Quazi , Fleisch Abby F. , Christiani David C. 
Published: August 2024

Background:
Arsenic has been associated with diabetes and impaired glucose tolerance in many studies, although some reports have shown null findings.

Methods:
We conducted a cross-sectional study among 300 adults in Bangladesh. Participants were randomly selected from a roster of 1800 people who previously participated in studies of arsenic and skin lesions. We measured fasting glucose and insulin levels. We assessed drinking water arsenic concentration using graphite furnace atomic absorption spectrophotometry (GF-AAS) and toenail arsenic concentration using inductively coupled mass spectrometry (ICP-MS). We ran covariant-adjusted, linear regression and spline models to examine associations of arsenic concentrations with the homeostatic model assessment of insulin resistance (HOMA-IR), a marker of insulin resistance, and HOMA of beta-cell function (HOMA-β), a marker of beta-cell function.

Results:
Among 285 participants with complete data, the median (IQR) arsenic concentration was 4.0 (6.9) μg/g in toenails and 39.0 (188.5) μg/L in drinking water. Arsenic concentrations were not associated with insulin resistance or beta-cell function. HOMA-IR was 0.67% lower and HOMA-β was 0.28% lower per µg/g increment in toenail arsenic, but these effect estimates were small, and confidence intervals crossed the null value.

Conclusions:
Although arsenic exposure has been associated with diabetes, we found no evidence of an adverse effect on insulin resistance or beta-cell function.
AI-enhanced “Two-thirds Guidelines” for Lipolifting: Addressing Multiple Hallmarks of Facial Aging
Authors: Tiryaki Kemal Tunç , Canikyan Serli , Woods Jack , Sterodimas Aris , Gentile Pietro , Cohen Steven , Andjelkov Katarina , Schlaudraff Kai-Uwe , Siolo Eva , Kul Yaren , Duyan Ceren 
Published: August 2024

Background:
Facial aging involves complex changes such as volume loss, ligament weakening, and skin quality alterations. The “two-thirds guidelines” emerge as a novel strategy to combat these aging signs, drawing from an extensive analysis of 2800 facial fat grafting procedures conducted over two decades.

Methods:
Guided by facial lipolifting data, including patient age, fat type (microfat and nanofat), and injection depth, this study devises a systematic framework for multilayer fat rejuvenation and ligament restoration. The two-thirds guidelines advocate injecting two-thirds of the patient’s age for microfat and one-third for nanofat, with specific injection codes for lower, middle, and upper facial regions.

Results:
A prospective study involving 400 patients confirms the efficacy of the two-thirds guidelines. However, applicability may vary for patients outside SD ranges, particularly concerning facial proportions and body mass index. Patients within the golden ratio range (1.4–1.9) report high satisfaction rates and a 50% fat graft uptake, with minimal complications. For patients outside this range, an artificial intelligence (AI) program was implemented.

Conclusions:
The two-thirds guidelines offer a comprehensive approach to facial rejuvenation, addressing volume loss, ligament weakening, and skin quality. They are applicable in early aging stages, promising enduring and natural outcomes while mitigating effects of weight fluctuations. These guidelines provide a safe, replicable, and adaptable approach to facial fat grafting, either standalone or in combination with facelift techniques, with minimized overfilling risks. A dataset obtained from 2800 patients serves as the foundation for developing an AI program tailored to aid doctors in diagnosing and treating similar cases.
Interventions to Reduce Surgical Waste Burden: A Systematic Review
Authors: Vu Cindy , Ibarra-Vega Alejandra , Yang Christopher D. , Manzanarez-Felix Karlos , Ting Caleb L. , Pakvasa Mikhail , Vyas Raj M. , Pfaff Miles J. 
Published: August 2024

Background:
Operating suites are significant drivers of waste, pollution, and costs. Surgeons can help fight the climate crisis by implementing innovative strategies aimed at mitigating the environmental impact of surgical procedures and decreasing operational costs, and moving toward a more sustainable healthcare system. This study aims to review the literature describing interventions that reduce surgical waste.

Methods:
PubMed, Cochrane, and Embase were searched. Studies reporting interventions to reduce operative waste, including emissions, energy, trash, and other, were included. Case reports, opinion-based reports, reviews, and meta-analyses were excluded. Study quality was rated using MINORS and Jadad scales. Data were extracted from each study to calculate waste on a per case basis. Narrative review of studies was performed rather than meta-analysis.

Results:
The search yielded 675 unique hits, of which 13 (level of evidence: I–III) met inclusion criteria. Included studies were categorized by intervention type in relation to the operating and procedure room. Three studies evaluated provider education initiatives, three evaluated setup of instruments, two evaluated single-use items, four evaluated technique changes, and one evaluated surgical venue. Seven studies reported significant reductions in disposable surgical waste throughput, and seven reported significant reductions in cost.

Conclusions:
The results of this systemic review demonstrated the effectiveness of surgical waste reduction initiatives in reducing waste volume, cost, and carbon emissions. Within plastic surgery, minimal surgical packs resulted in reduced gross waste and cost while promoting patient satisfaction in hand surgery, supporting the continued development and implementation of such initiatives in a surgical context.
Anal high-grade intraepithelial neoplasia and cancer in women with HIV and women without HIV with other risk factors
Authors: Capell-Morell Montserrat , Bradbury Melissa , Dinares Maria Carme , Hernandez Javier , Cubo-Abert Montserrat , Centeno-Mediavilla Cristina , Gil-Moreno Antonio 
Published: August 2024

Objective:
To determine the prevalence and the risk factors for anal high-grade intraepithelial neoplasia and anal cancer (HSIL+) in women with HIV (WWH), and to compare them to women without HIV with other risk factors.

Design:
Prospective cohort study.

Methods:
WWH and women without HIV with other risk factors were included. Screening for anal HSIL+ using anal cytology and HPV testing was performed. A high-resolution anoscopy with directed biopsy was also performed in patients with an abnormal cytology result or a positive HPV testing for high-risk (HR) genotypes, and in those with anal symptoms.

Results:
The period prevalence of anal HR-HPV infection and histological HSIL was 57.9% and 10.9% among WWH, and 60.8% and 9.2% among women without HIV. The prevalence of anal HPV 18 infection was higher in WWH. The risk factors for anal HSIL+ in WWH included anal HPV 16, other HR genotypes and low-risk genotypes infection, as well as a history of vulvar HSIL+. In women without HIV, the risk factors included anal HPV 16 infection, history of anogenital warts and of vulvar HSIL+, and immunosuppressive treatment.

Conclusions:
A high prevalence of anal HPV infection and HSIL was observed in WWH and women without HIV with other risk factors. Both groups share anal HPV 16 infection and history of vulvar HSIL+ as risk factors for the development of anal HSIL+. Genotyping for anal HPV 16 may help identify women at higher risk of anal cancer.
Highlighting the complexity of pathogenesis: the host microbiota impacts disease development on apple fruit and is a cornerstone for its biocontrol
Authors: Sare Abdoul Razack , Jijakli M. Haissam , Massart Sébastien 
Published: August 2024

AbstractApple fruit is the most produced temperate fruit with a trade value estimated at 7.5 billion $ and is usually stored up to one year after harvest. Postharvest pathogens often compromise storage, responsible for up to 55% of fruit losses, depending on the country and fruit. They are also a source of mycotoxin contamination. A sustainable way to control that pathogen is using beneficial microorganisms called biocontrol agents (BCA). Despite promising efficacy in laboratory conditions, BCA’s efficacy is variable and often reduced once applied at a large scale through either orchard or postharvest treatment. We hypothesized that the epiphytic microbiota plays a role in the variability of BCA efficiency (Pichia anomala, strain K) and postharvest disease development due toBotrytis cinereaon apples.A diverse set of 18 epiphytic microbial communities were harvested from apple carposphere and bio-banked. The analysis of their bacterial and fungal taxonomic composition and carbon metabolic footprint confirmed that contrasted microbiotas were harvested. Their impact onB. cinereadisease development was evaluated through a standardizedin vivobioassay. The reduction ofB. cinerearot development ranged from 20% to 80% when the microbiotas were applied alone. In addition, three microbiotas enhanced the biological control efficiency of strain K (up to +100%, whatever the tested microbiota concentrations) while others limited its action (down to -27%). A co-clustering analysis of biocontrol efficacy with carbon profiles or taxonomic composition was carried out. It identified promising molecules whose high metabolization was associated with high biocontrol by the microbiota and taxa with higher abundance in microbiota limitingB. cinerearot development. Putative beneficial taxa were isolated from the most efficient microbiota.In vivobioassays confirmed the efficacy of two molecules and two strains belonging to species never mentioned for their biocontrol properties against plant disease.This study demonstrated that natural epiphytic microbiota significantly influences postharvest disease development in apples and cause a variability in biocontrol efficacy. By mining the generated data, our approach identified promising molecules and taxa that enhance biocontrol, offering new insights for sustainable postharvest pathogen management.
DeepPWM-BindingNet: Unleashing Binding Prediction with Combined Sequence and PWM Features
Authors: Ali Sarwan , Chourasia Prakash , Patterson Murray 
Published: August 2024

AbstractA crucial challenge in molecular biology is the prediction of DNA-protein binding interactions, which has applications in the study of gene regulation and genome functionality. In this paper, we present a novel deep-learning framework to predict DNA-protein binding interactions with increased precision and interoperability. Our proposed framework DeepPWM-BindingNet leverages the rich information encoded in Position Weight Matrices (PWMs), which capture the sequence-specific binding preferences of proteins. These PWM-derived features are seamlessly integrated into a hybrid model of convolutional recurrent neural networks (CRNNs) that extracts hierarchical features from DNA sequences and protein structures. The sequential dependencies within the sequences are captured by recurrent layers. By incorporating PWM-derived features, the model’s interpretability is improved, enabling researchers to learn more about the underlying binding mechanisms. The model’s capacity to locate crucial binding sites is improved by the incorporation of an attention mechanism that highlights crucial regions. Experiments on diverse DNA-protein interaction datasets demonstrate the proposed approach improves the predictive performance. The proposed model holds significant potential in deciphering intricate DNA-protein interactions, ultimately advancing our comprehension of gene regulation mechanisms.
Anisotropic weak antilocalization in thin films of the Weyl semimetal TaAs
Authors: Leahy Ian A. , Rice Anthony D. , Jiang Chun-Sheng , Paul Goutam , Alberi Kirstin , Nelson Jocienne N. 
Published: August 2024

Device applications of topological semimetals await the development of epitaxial films in the ultrathin limit. Weak antilocalization (WAL) has been extensively utilized in the understanding of surface states in topological insulators and shows promise for use in elucidating the properties of thin film topological semimetals. Here, we report insights from WAL in the surface state and interface transport properties of our recently synthesized single-crystal-like thin films of the Weyl semimetal TaAs(001) grown on GaAs(001). We observe robust, anisotropic WAL in the magnetoconductance from 2 to 20 K in films from 10 to 200 nm thick. We link the anisotropic WAL magnetoconductance to anisotropic mobility stemming from film topography. We conclude that WAL in the films likely originates from the antilocalization of topological surface states. The WAL magnetoconductance is impacted by the film thickness and topography, solidifying the useful role of WAL in the study of topological semimetal/semiconductor heterointerfaces.

Published by the American Physical Society
2024
a0(1710)−f0(1710)
mixing effect in the
Ds+→KS0KS0π+
decay
Authors: Peng Yu-Wen , Liang Wei , Xiong Xiaonu , Xiao Chu-Wen 
Published: August 2024

With the measurements of the decay Ds+→KS0KS0π+ by the BESIII collaboration, we investigate this three-body weak decay via the chiral unitary approach for the final state interaction, where the resonances S(980) and S(1710) are dynamically reproduced with the interaction of eleven coupled channels, and the W-external and W-internal emission mechanisms are considered at the quark level. Besides, we also take into account the contribution from the P-wave resonance K*(892)+ and make a combined fit of the KS0KS0 and KS0π+ invariant mass spectra measured by the BESIII collaboration. The fitted results show that the enhancement around 1.7 GeV in KS0KS0 mass spectrum is overlapped with two visible peaks, indicating the mixing signal originated from the resonances a0(1710) and f0(1710) due to their different poles (masses). Thus, the decay Ds+→KS0KS0π+ is helpful to reveal their molecular nature with the mixing signal, which can be more precisely measured in the future.

Published by the American Physical Society
2024
The soft X-ray spectromicroscopy beamline BL08U1A upgrade at SSRF
Authors: Zhen Xiangjun , Guo Zhi , Zhang Zengyan , Wang Yong , Tai Renzhong 
Published: August 2024

Beamline BL08U1A is a soft X-ray spectromicroscopy beamline at Shanghai Synchrotron Radiation Facility (SSRF) that exhibits the capabilities of high spatial resolution (30 nm) and high energy resolving power (over 104). As a first-generation beamline of SSRF, owing to its continuous operation over the last ten years, an urgent upgrade of the equipment including the monochromator was deemed necessary. The upgrade work included the overall construction of the monochromator and replacement of the mirrors upstream and downstream of the monochromator. Based on its original skeleton, two elliptically cylinder mirrors were designed to focus the beam horizontally, which can increase the flux density by about three times on the exit slits. Meanwhile, the application of variable-line-space gratings in the monochromator demonstrates the dual functions of dispersing and focusing on the exit slits which can decrease abberations dramatically. After the upgrade of the main components of the beamline, the energy range is 180–2000 eV, the energy resolving power reaches 16333 @ 244 eV and 12730 @ 401 eV, and the photon flux measured in the experimental station is over 2.45 × 109 photons s−1(E/ΔE = 6440 @ 244 eV).
Revealing intelligent packaging for food products from consumers’ point of view in Georgia
Authors: Gigauri Iza , Palazzo Maria , Apostu Simona Andreea , Siano Alfonso 
Published: August 2024

PurposeThe purpose of this study is to explore the awareness, perception and attitude of consumers from Georgia toward smart, active and intelligent packaging of food products.Design/methodology/approachThis study is based on a quantitative research method using a survey questionnaire tool to gather data from consumers in Georgia.FindingsThe scope of the sample is restricted to only one developing country. Yet, the research results are still significant in creating knowledge about innovative food packaging from different country contexts and to understanding the acceptance of intelligent active packaging by consumers.Research limitations/implicationsIntelligent packaging facilitates companies with their sustainability efforts by reducing waste and environmental impact. It increases the desirability of products as responds to customer demands and leads to consumer satisfaction. Intelligent packaging can increase trust in bioproducts; for example, it is possible to track and check or monitor the origin of a product and prove that the product producer has really manufactured a bioproduct.Originality/valueThe study contributes to the discussion of the applicability and use of packaging with enhanced features in the food industry. In this respect, the performed pilot study fills the gap in the packaging literature by investigating consumers’ perspectives on intelligent packaging in Georgia – a non-EU, post-soviet, developing country.
Mediating and moderating role of socioeconomic and technological factors in assessing farmer`s attitude towards adoption of Industry 4.0 technology
Authors: Jain Mohit , Soni Gunjan , Mangla Sachin Kumar , Verma Deepak , Toshniwal Ved Prabha , Ramtiyal Bharti 
Published: August 2024

PurposeAgriculture is a vital sector for every country, especially for a country like India, where the majority of the population is dependent on agriculture as their earning source. Technological improvements in agriculture will increase output with proper forecasting of input resources. In this study, the author tries to investigate the attitude of end users (farmers) about the use of Industry 4.0 (I4.0) technologies.Design/methodology/approachThe unified theory of acceptance and use of technology (UTAUT) model is used to assess the behavioral aspects. The significance of socioeconomic and technological factors is highlighted, providing the study with a thorough understanding of farmers' decision-making processes. A research questionnaire was developed for data collection, and descriptive and inferential statistics were used to analyse the results using AMOS and SPSS software.FindingsA total of 371 survey responses were collected. The results demonstrate that the hypothesis regarding UTAUT model components is validated, while several mediating hypotheses are not supported, indicating that they are not significant in farmers' decision-making.Originality/valueIn this study, socioeconomic and technological factors are considered to be mediating and moderating elements between the constructs of the UTAUT model. Increasing the accuracy and reliability of our study by integrating mediating and moderating variables. This study assists industry specialists in understanding the elements that farmers consider while switching toward new technologies.
A career-lifespan perspective on strengths utilization at work
Authors: van Woerkom Marianne 
Published: August 2024

PurposeWhile the career literature does acknowledge that personal strengths may function as protective factors that increase the likelihood of positive career outcomes, the topic of strengths has predominantly been studied in the context of career guidance for adolescents and young adults. However, the evolution of strengths persists throughout the entire career and individuals’ awareness and inclination to leverage their strengths change when aging. This paper aims to examine strengths over the (career) lifespan.Design/methodology/approachFor this purpose, a conceptual analysis was made of the interplay between age and strengths application within the work environment, based on a narrative review of both empirical and conceptual literature on strengths and lifespan (career) development.FindingsBased on lifespan development theory and results from studies that investigate the relationship between age and strengths, it can be expected that the prominence, awareness and use of strengths, as well as the active engagement in strengths development increase with age. Also, based on the corresponsive principle it is proposed that strengths prominence is reciprocally related to the awareness, use and development of strengths. Implications for future research and practice are discussed.Originality/valueWhereas positive psychology has contributed to research on career development by its focus on healthy functioning, human potential and well-being the implications from theorizing and research on strengths for the career-lifespan are still relatively unclear. This paper develops testable propositions regarding the relationship between age and strengths and discusses implications for the types of organizational support for strengths that workers of different ages might need.
MLFV: a novel machine learning feature vector method to predict characteristics of turbulent heat and fluid flow
Authors: Bashtani Iman , Abolfazli Esfahani Javad 
Published: August 2024

Purpose
This study aims to introduce a novel machine learning feature vector (MLFV) method to bring machine learning to overcome the time-consuming computational fluid dynamics (CFD) simulations for rapidly predicting turbulent flow characteristics with acceptable accuracy.

Design/methodology/approach
In this method, CFD snapshots are encoded in a tensor as the input training data. Then, the MLFV learns the relationship between data with a rod filter, which is named feature vector, to learn features by defining functions on it. To demonstrate the accuracy of the MLFV, this method is used to predict the velocity, temperature and turbulent kinetic energy fields of turbulent flow passing over an innovative nature-inspired Dolphin turbulator based on only ten CFD data.

Findings
The results indicate that MLFV and CFD contours alongside scatter plots have a good agreement between predicted and solved data with R2 ≃ 1. Also, the error percentage contours and histograms reveal the high precisions of predictions with MAPE = 7.90E-02, 1.45E-02, 7.32E-02 and NRMSE = 1.30E-04, 1.61E-03, 4.54E-05 for prediction velocity, temperature, turbulent kinetic energy fields at Re = 20,000, respectively.

Practical implications
The method can have state-of-the-art applications in a wide range of CFD simulations with the ability to train based on small data, which is practical and logical regarding the number of required tests.

Originality/value
The paper introduces a novel, innovative and super-fast method named MLFV to address the time-consuming challenges associated with the traditional CFD approach to predict the physics of turbulent heat and fluid flow in real time with the superiority of training based on small data with acceptable accuracy.