bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulating nanoparticle concentration using stochastic models to improve indoor air quality in the industry
Authors: Cebolla-Alemany Joaquim , Martí Marcel Macarulla , Viana Mar , Gasso-Domingo Santiago , Moreno-Martín Verónica , Bou David , San Félix Vicenta , López-Carreño Rubén D. 
Published: February 2025

Abstract
In industrial scenarios, nanoparticles are incidentally generated in high concentrations during diverse material transformation processes, presenting potential health hazards for exposed workers. Consequently, as an indoor air quality management measure, their concentration is commonly reduced through localized forced ventilation. However, the control of these systems usually relies on traditional rule-based algorithms, which cannot deploy efficient control strategies such as model predictive control. To solve this issue, we propose a novel grey-box reduced order model method, never used before for industrial indoor nanoparticles. This approach can be deployed in model predictive control algorithms in buildings and does not present the data-reliance and transferability issues of black-box modeling. To test this model, a data collection campaign was conducted under real-world operating conditions in an industrial-scale thermal spraying booth, aiming to test the method’s viability for model calibration and validation of indoor total nanoparticle concentration through the maximum likelihood method, statistical validation tests, and physical viability assessment. Results for three different lumped sum models illustrate the effectiveness of grey-box modeling in industrial scenarios with confined processes and forced ventilation systems, handling observations’ noise and background concentration fluctuations, and allowing a performance comparison between models. Further research could be conducted to study the viability of indoor total nanoparticle concentration reduced order models with higher spatial resolution, non-confined sources, and natural airflows.
Genetic counselling for psychiatric conditions: exploring current perceptions of family physicians and psychiatrists in Portugal
Authors: Ribeiro B. , Homem de Melo I. , Sequeira A. , Moldovan R. , Paneque M. 
Published: February 2025

Abstract
Genetic counselling emerged as a specialized healthcare discipline in the 1960s, and since then, various sub-specialties have developed globally, namely and more recently, psychiatric genetic counselling. This study provides a pioneering exploration of family physicians and psychiatrists’ perceptions regarding genetic counselling provision and its potentialities in the context of psychiatric illnesses in Portugal. A qualitative methodology with semi-structured interviews was used. Among the participants, five were family physicians, and six were psychiatrists. Thematic analysis revealed three themes: (1) the role of genetics in healthcare, (2) barriers to psychiatric genetic counselling implementation, and (3) perceived benefits associated with its implementation. Results show that while the importance of genetics in psychiatric disorders is acknowledged, there is low literacy about genetic counselling practice from the professional groups interviewed. Also, the availability and mainstreaming of genetic testing seem to influence how genetic counselling is perceived and utilized. There is a perceived need for training and guidelines that foster the dissemination of genetics into healthcare, specifically mental healthcare. A holistic and patient-centred approach is considered essential in managing psychiatric disorders and, by extension, in psychiatric genetic counselling, as it addresses both medical and psychosocial factors. Although psychiatrists and family physicians are keen to integrate psychiatric genetic counselling into their patients’ care, it seems that certain fundamental challenges still persist in genetic healthcare provision. Future research should contribute for a more comprehensive evaluation of the readiness for psychiatric genetic counselling implementation in the country.
Valorization of green market waste for sequential biohydrogen and biomethane production
Authors: Özmıhçı Serpil , Hacıoğlu İlknur , Karapınar İlgi , Küs Meltem 
Published: February 2025

Abstract
High organic carbon wastes can be used for biofuel production for reducing raw material costs. Green market wastes (GMW) are one of the raw material candidates to generate biofuel by fermentation with low-cost production and high yield of fuel formation. Biohydrogen and biomethane are potential gaseous energy sources that can be obtained through sequential fermentation of GMW. In this study, the ground and hydrolyzed GWM (a mixture of lettuce, parsley, spring onion, and dill) solid–liquid mixture was first valorized for biohydrogen, then the organic acid-rich residue of biohydrogen fermentation was subjected to biomethane production. Biohydrogen and biomethane were produced at mesophilic (37 °C) and thermophilic (55 °C) temperatures. The initial GWM amount varied between 1000 and 5000 g ww at mesophilic biohydrogen production. The highest cumulative hydrogen formation (CHF) and the rate were obtained at 5000 g ww as CHF = 8.9 L and 916 mL H2 /L day, respectively. Thermophilic biohydrogen fermentation was conducted at 1000 and 5000 g ww and CHF reached 14.2 L at 5000 g ww GMW. The yield of hydrogen formation was 1.6 times higher at thermophilic than at mesophilic conditions. The residues from two fermentation temperatures of 5000 g ww GMW were used to produce biomethane under both fermentation conditions. Mesophilic and thermophilic conditions resulted in cumulative biomethane formations (CMF) of 8.3 L and 5.8 L, and biomethane production yields of 0.17 mL CH4/g VFA and 0.13 mL CH4/g VFA, respectively. The findings revealed that GMW is a suitable substrate for efficient biohydrogen and biomethane production.

Graphical Abstract
Operational Modeling of the Nexus Between Water-Distribution and Electricity Systems
Authors: Gu Weiying , Sioshansi Ramteen 
Published: February 2025

Abstract

Purpose of Review
We survey operational models of water-distribution systems. Although such modeling is important in its own right, our focus is motivated by the growing desire to examine and manage the nexus between water-distribution and electricity systems. As such, our survey discusses computational challenges in modeling water-distribution systems, co-ordination dynamics between water-distribution and electricity systems, and gaps in the literature.

Recent Findings
Modeling water-distribution systems is made difficult by their highly non-linear and non-convex physical properties. Co-ordinating water-distribution and electricity systems, especially with the growing supply and demand uncertainties of the latter, requires fast optimization techniques for real-time system management. Although many works suggest means of co-ordinating the two systems, practical applications are limited, due to the systems having separate and autonomous management and ownership. Nonetheless, recent works are navigating this challenge, by seeking methods to foster improved co-ordination of the two systems while respecting their autonomy. Additionally, with the backdrop of increased security threats, there is a growing need to bolster infrastructure protection, which is complicated by the intertwined nature of the two systems.

Summary
By providing a steady supply of potable water to satisfy residential, commercial, agricultural, and industrial demands, water-distribution systems are pivotal components of modern society and infrastructure. The extant literature presents many models and optimization strategies that are tailored for operating water-distribution systems. Yet, there remain unexplored problems, particularly related to simplifying model computation, capturing the flexibility of water-distribution systems, and capturing interdependencies between water-distribution and other systems and infrastructures. Future research that addresses these gaps will allow greater operational efficiency and resilience.
Applying the Cognitive Model of Post-Traumatic Stress to Examine the Role of Appraisals, Trauma Memory, and Coping Strategies Following Pediatric Injury: A Systematic Review
Authors: Patronick Jamie , Molloy Kelly R. , Bothwell Sabrina J. , Wade Shari L. 
Published: February 2025

Abstract
Following a traumatic injury, 25–57% of children will develop clinically significant post-traumatic stress symptoms (PTSS). The cognitive model of post-traumatic stress disorder posits that PTSS develop based on the encoding of trauma memories and the individual’s appraisals of the event and its sequelae. In addition, the behaviors and cognitive strategies used to cope with distress are proposed to serve as causal and maintaining factors for PTSS. The purpose of this study was to systematically review and summarize the role of psychological processing factors, including cognitive appraisals, trauma memory, and coping styles, on the development of PTSS in children following injury. Systematic searches were conducted in May 2024 for articles published at any time in PubMed, APA PsycInfo, and PTSDpubs databases. Included articles analyzed the association between cognitive appraisals, trauma memories, and/or coping strategies and PTSS in children (ages 5–18) who received medical treatment for a single-incident traumatic injury. Data were extracted related to study and sample characteristics, measures, and findings regarding the association between psychological processes and PTSS. The quality of included studies was assessed using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. The titles and abstracts of 836 articles were screened, and 105 full text articles were reviewed, resulting in 34 eligible articles. Articles were rated as being of “good” (44%) or “fair” (56%) quality. Studies examined cognitive appraisals (n = 18), trauma memory characteristics (n = 15), and coping strategies (n = 13). Several factors were associated with PTSS, including maladaptive cognitive appraisals, guilt, avoidant coping, and decreased cohesion, accuracy, and context in the trauma narrative. This review provides support for the cognitive model of PTSS when applied to pediatric injury populations. Limitations of the current literature are noted, including lack of evidence of temporal associations and relationships between variables in the cognitive model. Findings can be used to identify cognitive-behavioral treatment targets and ascertain the ideal timing for screening and preventative interventions.
A novel three-way distance-based fuzzy large margin distribution machine for imbalance classification
Authors: Liu Li , Guo Jinrui , Yin Ziqi , Chen Rui , Huang Guojun 
Published: February 2025

Abstract
Class imbalance is a prevalent issue in practical applications, which poses significant challenges for classifiers. The large margin distribution machine (LDM) introduces the margin distribution of samples to replace the traditional minimum margin, resulting in extensively enhanced classification performance. However, the hyperplane of LDM tends to be skewed toward the minority class, due to the optimization property for margin means. Moreover, the absence of non-deterministic options and measurement of the confidence level of samples further restricts the capability to manage uncertainty in imbalanced classification tasks. To solve these problems, we propose a novel three-way distance-based fuzzy large margin distribution machine (3W-DBFLDM). Specifically, we introduce a distance-based factor to mitigate the impact of sample size imbalance on classification results by increasing the distance weights of the minority class. Additionally, three-way decision model is introduced to deal with uncertainty, and the model’s robustness is further enhanced by utilizing the fuzzy membership degree that reflects the importance level of each input point. Comparative experiments conducted on UCI datasets demonstrate that the 3W-DBFLDM model surpasses other models in classification accuracy, stability, and robustness. Furthermore, the cost comparison experiment validate that the 3W-DBFLDM model reduces the overall decision cost.
Quantification of Workload Across the Careers of Division I Women’s Lacrosse Athletes: A Case Series
Authors: Gentry Jordan , Bunn Jennifer A. , Myers Bradley J. 
Published: February 2025

Abstract

Purpose
This study aimed to describe athlete workload over the course of a four-year collegiate lacrosse career.

Methods
Workload was evaluated each day of training and games using global positioning system microtechnology. Total workload for each athlete was calculated for each season of each year for total distance, high-intensity distance, accelerations, decelerations, and sprints. Data were tabulated as absolute and relative workloads with absolute workload representing an individual athlete and relative workload representing that athlete’s percentage of team mean workload.

Results
The workload of the entire lacrosse team was collected over four years containing the full career of six athletes. Across the five workload variables analyzed, athletes either maintained a workload near team mean workload or demonstrated an increase in workload towards the end of their careers.

Conclusion
As careers progressed, the variation in athlete workload decreased, and athletes approached the team’s average workload. Microtechnology may be useful in monitoring athlete workload over the course of a career.
Assessing the contribution of climate resilient agricultural technologies in advancing sustainable development goals in Telangana, India
Authors: Naik Boda Mahesh , Singh A. K. , Venkatesan P. , Maji Saikat , Sunil Jhade , Naik M. Ramesh 
Published: February 2025

Abstract
Climate change poses enormous challenges for agriculture in developing countries, impacting farmers' livelihoods. Farmers are extremely affected by their need to adapt to changing climatic variations. Climate resilient technologies are an effective means to protect farming systems from climate variability. National Innovations on Climate Resilient Agriculture (NICRA) is a flagship initiative of the Indian Council of Agricultural Research (ICAR), New Delhi which has demonstrated, and promoted the application of climate-resilient technologies in the most vulnerable 151 districts across 28 states and 1 union territory in India. This study has been conducted to investigate the extent to which CRA technologies are being adopted by the farmers in the NICRA project executed in villages of Suryapet and Khammam districts in Telangana state, India. It further studied the factors affecting the extent of adoption of CRA technologies and whether these technologies help achieve the United Nations (UN) Sustainable Development Goals (SDGs). A structured interview was carried out to obtain data from 200 respondents. Data was analyzed using normalization of the adoption index and step-wise multiple regression analysis. Results discovered medium to high levels of adoption of CRA technologies by the farmers with interventions like deep ploughing, in situ moisture conservation technologies, improved paddy varieties, crop diversification, crop rotation, deworming in sheep and goats, improved backyard poultry breeds and Custom Hiring Centres were highly adopted by the farmers. Factors like innovative proneness, availability of water resources, economic motivation, farming system, land holding, and risk-taking ability have significantly contributed to the adoption of CRA technologies. Results revealed that NICRA interventions facilitated the achievement of various SDGs, viz., SDG-1 (no poverty), SDG-2 (zero hunger), SDG-3 (good health and well-being), SDG-8 (decent work and economic growth), SDG-12 (responsible consumption and production), SDG-13 (climate action), and SDG-15 (life on land). The study recommends increasing awareness among farmers and enhancing their capacity through various programmes by extension personnel to further improve the adoption of CRA technologies and achieve SDGs.
Virtuous Wonder
Authors: MacTaggart Eric 
Published: February 2025

Abstract
Many theorists note the important role that wonder can play in our lives. Yet, little attention has been given to the associated character virtue; characterizations of it do not go much further than basic sketches that draw on Aristotle’s view about emotional dispositions that are proper to virtue. This paper fleshes out such sketches, which helps us understand what type of virtue this trait is. The account of virtuous wonder I develop here vindicates brief suggestions in the literature that this trait is an intellectual and aesthetic virtue and reveals in what sense it is a moral and environmental virtue.
A Systematic Review on the Role of Glucagon-Like Peptide-1 (GLP-1) Receptor Agonists on Alcohol-Related Behaviors: Potential Therapeutic Strategy for Alcohol Use Disorder
Authors: Zheng Yang Jing , Soegiharto Crystaleene , Au Hezekiah C.T. , Valentino Kyle , Le Gia Han , Wong Sabrina , Teopiz Kayla M. , Rhee Taeho Greg , Guillen-Burgos Hernan F. , Cao Bing , McIntyre Roger S. 
Published: February 2025

Abstract

Introduction:
Extant literature implicates the role of glucagon-like peptide-1 (GLP-1) and GLP-1 receptor agonists (GLP-1RAs) on modulating alcohol-associated behaviors, with a particular emphasis of these agents on neural circuits subserving reward and appetite control. Herein, we explore the potential effects of GLP-1RAs on alcohol-associated behaviors in brain regions implicated in reward processing facilitating the repurposing of these agents for the treatment and prevention of problematic drinking. Understanding how GLP-1's analogs interact with alcohol-related behaviors may underscore the development of therapeutic strategies for alcohol use disorder (AUD) and those with comorbid metabolic disorders.

Methods:
A systematic review was conducted, wherein relevant literature was identified through Web of Science, PubMed, and OVID (MedLINE, Embase, AMED, PsycInfo, JBI EBP) from database inception to October 27th, 2024. Preclinical and clinical studies examining the association between GLP-1RAs and alcohol-related behaviors were assessed.

Results:
Preclinical studies (n = 19) indicate that GLP-1RAs attenuate alcohol-related behaviors, with exenatide demonstrating significant dose-dependent effects in high alcohol-consuming phenotypes. Semaglutide and liraglutide are associated with reduced alcohol intake, though their effects were often transient. In human studies (n = 2) with AUD, semaglutide significantly reduced alcohol consumption, while exenatide showed mixed results, with reductions in alcohol drinking within high BMI subpopulations.

Discussion:
Extant preclinical and clinical literature provides preliminary support for the potential therapeutic role of GLP-1RAs in attenuating alcohol consumption and preference. There is a need for large well controlled studies evaluating the effect of GLP-1RAs as a treatment strategy for behavioral modifications in individuals living with alcohol use disorder.
Classical Studies and the Public Humanities
Authors: Kindt Julia 
Published: February 2025

Abstract
This article introduces the reader to current work at the intersection of classical studies and the public humanities. It begins from the observation that in recent years, efforts by classical scholars to relate to a wider public have intensified and taken on a new quality. Not so long ago, public-facing research was considered detrimental to “real” scholarship. By contrast, as this article sets out to show, there is now a growing interest in a true exchange of perspectives, knowledges, and methodologies with stakeholders outside of the confines of the academe. I argue that some of the most interesting work in this space emerges from the way in which the aims and objectives of the public humanities intersect with several trends currently driving classical studies. These include the emergence of the digital humanities, the maturing of classical reception studies, and the (often difficult) conversations around calls to “decolonize” the classics.
Use of surrogate endpoints in health technology assessment: a review of selected NICE technology appraisals in oncology
Authors: Wheaton Lorna , Bujkiewicz Sylwia 
Published: February 2025

Abstract

Objectives
Surrogate endpoints, used to substitute for and predict final clinical outcomes, are increasingly being used to support submissions to health technology assessment agencies. The increase in the use of surrogate endpoints has been accompanied by literature describing the frameworks and statistical methods to ensure their robust validation. The aim of this review was to assess how surrogate endpoints have recently been used in oncology technology appraisals by the National Institute for Health and Care Excellence (NICE) in England and Wales.

Methods
This article identifies technology appraisals in oncology published by NICE between February 2022 and May 2023. Data are extracted on the use and validation of surrogate endpoints including purpose, evidence base, and methods used.

Results
Of the 47 technology appraisals in oncology available for review, 18 (38 percent) utilized surrogate endpoints, with 37 separate surrogate endpoints being discussed. However, the evidence supporting the validity of the surrogate relationship varied significantly across putative surrogate relationships with 11 providing randomized controlled trial evidence, 7 providing evidence from observational studies, 12 based on the clinical opinion, and 7 providing no evidence for the use of surrogate endpoints.

Conclusions
This review supports the assertion that surrogate endpoints are frequently used in oncology technology appraisals in England and Wales and despite the increasing availability of statistical methods and guidance on appropriate validation of surrogate endpoints, this review highlights that use and validation of surrogate endpoints can vary between technology appraisals, which can lead to uncertainty in decision making.
The efficacy of pomegranate flower on the radiation-induced oral mucositis in the head and neck malignancy: a phase II clinical trial
Authors: Mosalaei Ahmad , Dayani Maliheh , Ansari Mansour , Nasrolahi Hamid , Mohammadianpanah Mohammad , Omidvari Shapour , Andalibi Susan , Mohammad Hosseini Ehsan 
Published: February 2025

Abstract

Introduction:
Oral mucositis (OM) emerged in the late 1980s to describe the adverse effects of radiation therapy (RT) on the oral mucosa. OM is the most common and clinically significant acute adverse effect of radiotherapy for head and neck cancer. Symptoms of OM vary from pain and discomfort to an inability to tolerate food or fluids, and it may affect the quality of life, breaks in treatment, hospitalisation, and therefore cancer treatment and outcome. This study aimed to evaluate the pomegranate flower’s efficacy in preventing and treating radiation-induced mucositis due to antioxidant, anti-inflammatory and anti-cancer effects.

Methods and materials:
This phase II clinical trial was conducted on 50 patients (case and control) with head and neck malignancy. Patients in the case groups were instructed to rinse their mouths with 5 mg Pomegranate powder with 15 cc of sterile water three times a day. The patients in the control group rinsed their mouths with normal saline mouthwash, which is the most relatively accepted preventive and supportive care in this setting. The onset and degree of radiation-induced mucositis were graded during treatment, with ‘WHO mucositis grading’ and the ‘quality of life questionnaire’ (QLQ-OES18).

Result:
Forty-eight patients were analysed. There was a significant difference between the two groups on onset and severity of mucositis in the two groups. There were longer intervals for the incidence of different grades of mucositis in the case group, in comparison with the control groups (P value < 0·05). Also, Complaints of dysphagia in the case groups were lower than in the control.

Conclusion:
Pomegranate flower seems to be effective at the time of onset, and the severity of oral mucositis during head and neck radiation. It could be a simple, potent, and inexpensive agent, which is easily available.