bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of legal representation on clinical measures in involuntarily admitted psychiatric patients: a retrospective study
Authors: Cohen Yaacov , Bendor Ariel L. , Gilbar Roy , Cohen Orly , Khawaled Razek , Dienstag Arieh , Lotan Amit , Bonne Omer 
Published: October 2024

Abstract
Background
Most western countries provide funded legal representation (LR) for involuntarily admitted psychiatric patients appearing before judicial committees. In 2004, an amendment to the Israeli Mental Health Act granted this right to involuntarily committed psychiatric patients. Psychiatrists then voiced concerns that LR may increase rates of premature discharge and compromise patients’ safety and well-being. These worries have not been sufficiently addressed to date. This study aimed to provide answers to their concerns.

Methods
This study included 3124 and 3434 inpatients involuntarily admitted to psychiatric facilities in 2000 and in 2010 (respectively), prior to and after the introduction of LR in Israel. Data were acquired from the Israeli National Psychiatric Hospitalization Registry. Clinical measures included percentage of discharges by the District Psychiatric Board (DPB), duration of involuntary hospitalization and rates of readmissions within thirty days and six months of discharge by treating psychiatrists (TP) or DPB.

Results
The odds ratio (OR) of discharge by a DPB in 2010 (n = 221) compared to 2000 (n = 93) was 2.2 [95%CI 1.72–2.82]. The OR was similar for readmissions within thirty days or six months among patients discharged by TP and a DPB (OR = 1.08, p = 0.697 and OR = 0.92, p = 0.603, respectively) as well as between the two time points (p = 0.486 and p = 0.618). The duration of hospitalizations terminated by a DPB was significantly shorter than those terminated by TP, with no difference between the study time points. The mean hospitalization duration in 2010 was 21% shorter compared to 2000 among patients discharged by TP.

Conclusions
The number of DPB proceedings and the number of involuntarily hospitalized psychiatric patients discharged by DPBs increased considerably after the advent of state-funded legal representation in 2004. We found that this did not compromise beneficence and non-malfeasance of patient care. Our results emphasize the feasibility of affording even the most severely mentally ill patients the rights to due process. These findings may relieve concerns about state-funded LR procedures in involuntary psychiatric hospitalizations.
Frailty; Time for Global Action
Authors: Weiss Yotam , Matot Idit 
Published: October 2024

AbstractThis commentary examines the study “Frailty and Its Association with Long-Term Mortality Among Community-Dwelling Older Adults Aged 75 Years and Over” by Lewis et al. The retrospective cohort study utilized data from a primary healthcare provider in Israel to investigate frailty using the Frailty Index (FI) and its correlation with long-term mortality. Nearly half of the older adult cohort was identified as frail, with a strong association between higher frailty levels and increased mortality risk. The commentary emphasizes the importance of routine frailty screening in clinical practice and health policy. Integrating FI calculations into electronic health records can facilitate timely care for high-risk individuals. However, presenting frailty data must be managed carefully and in conjunction with patients’ preferences to avoid stigmatizing and negatively influencing clinical decisions. While the FI is a valuable tool, it should complement, not replace, other assessments that provide a more holistic view of the patient’s health. Furthermore, the commentary strongly advocates for a more comprehensive approach to patient care, emphasizing that non-geriatricians must also be proficient in recognizing and managing frailty. Effectively addressing frailty can lead to significant cost savings for healthcare systems, reduced burden on healthcare facilities, and decreased need for long-term care.
A framework for the acoustic simulation of passing vehicles using variable length delay lines
Authors: Damiano Stefano , Bondi Luca , Guntoro Andre , van Waterschoot Toon 
Published: October 2024

AbstractThe sound produced by vehicles driving on roadways constitutes one of the dominant noise sources in urban areas. The impact of traffic noise on human activities and the related investigation on modeling, assessment, and abatement strategies fueled the research on the simulation of the sound produced by individual passing vehicles. Simulators enable in fact to promote a perceptual assessment of the nature of traffic noise and of the impact of single road agents on the overall soundscape. In this work, we present TrafficSoundSim, an open-source framework for the acoustic simulation of vehicles transiting on a road. We first discuss the generation of the sound signal produced by a vehicle, represented as a combination of road/tire interaction noise and engine noise. We then introduce a propagation model based on the use of variable length delay lines, allowing to simulate acoustic propagation and Doppler effect. The proposed simulator incorporates the effect of air absorption and ground reflection, modeled via complex-valued reflection coefficients dependent on the road surface impedance, as well as a model of the directivity of sound sources representing the passing vehicles. The source signal generation and the propagation stages are decoupled, and all effects are implemented using finite impulse response filters. Moreover, no recorded data is required to run the simulation, making the framework flexible and independent on data availability. Finally, to validate the framework capability to accurately simulate passing vehicles, a comparison between synthetic and recorded pass-by events is presented. The validation shows that sounds generated with the proposed method achieve a good match with recorded events in terms of power spectral density and psychoacoustics metrics as well as a perceptually plausible result.
Biogeographic shifts in the microbial co-occurrence network features of three domains across complex environmental gradients in subtropical coastal waters
Authors: Hou Dandi , Yan Huizhen , Lin Huaying , Zhang Huajun , Zhang Demin , Wang Kai 
Published: October 2024

Abstract
Background
Bacteria, Archaea, and Microeukaryotes comprise taxonomic domains that interact in mediating biogeochemical cycles in coastal waters. Many studies have revealed contrasting biogeographic patterns of community structure and assembly mechanisms in microbial communities from different domains in coastal ecosystems; however, knowledge of specific biogeographic patterns on microbial co-occurrence relationships across complex coastal environmental gradients remains limited. Using a dense sampling scheme at the regional scale, SSU rRNA gene amplicon sequencing, and network analysis, we investigated intra- and inter-domain co-occurrence relationships and network topology-based biogeographic patterns from three microbial domains in coastal waters that show environmental gradients across the inshore-nearshore-offshore continuum in the East China Sea.

Results
Overall, we found the highest complexity and connectivity in the bacterial network, the highest modularity in the archaeal network, and the lowest complexity, connectivity, and modularity in the microeukaryotic network. Although microbial co-occurrence networks from the three domains showed distinct topological features, they exhibited a consistent biogeographic pattern across the inshore-nearshore-offshore continuum. Specifically, the nearshore zones with intermediate levels of terrestrial impacts reflected by multiple environmental factors (including water temperature, salinity, pH, dissolved oxygen, and nutrient-related parameters) had a higher intensity of microbial co-occurrence for all three domains. In contrast, the intensity of microbial co-occurrence was weaker in both the inshore and the offshore zones at the two ends of the environmental gradients. Archaea occupied a central position in the microbial inter-domain co-occurrence network. In particular, members of the Thaumarchaeota Marine Group I (MGI, now placed within the Family Nitrosopumilaceae of the Phylum Thermoproteota) appeared to be the hubs in the biogeographic shift between inter-domain network modules across environmental gradients.

Conclusions
Our work offers new insights into microbial biogeography by integrating network features into biogeographic patterns, towards a better understanding of the potential of microbial interactions in shaping biogeographic patterns of coastal marine microbiota.
Assessing the influence of entrepreneurial education on individual entrepreneurial orientation of university students
Authors: Amaral Daniella Teles , Nieuwenhuizen Cecile , Schachtebeck Chris 
Published: October 2024

AbstractA number of empirical studies have underscored the significance of entrepreneurial orientation in understanding the dynamic business environment driven by entrepreneurial actions. However, the notion of individual entrepreneurial orientation (IEO) has received less attention in scholarly literature. It’s widely acknowledged that entrepreneurial education (EE) makes a substantial contribution to a country’s economy. It’s believed that EE can empower individuals and thus play a crucial role in addressing various societal challenges faced by countries globally. Nonetheless, the influence of EE on the IEO of university students, and whether it effectively guides them towards an entrepreneurial career, hasn’t been thoroughly examined. This study aimed to explore the influence of EE on the IEO of university students. This study focuses on two distinct economies—a developing one (South Africa) and a developed one (Scotland), the latter being recognized for its high-quality EE and a high proportion of individuals opting for entrepreneurial careers. A quantitative research approach was followed making use of an adapted questionnaire, which was analysed with SPSS and EQS 6.4 using descriptive statistics, reliability analysis, exploratory factor analysis, multivariate analysis of variance and path model analysis. A total of 2841 questionnaires were distributed online, yielding 575 valid responses. Findings indicate that EE significantly influences the IEO of university students in South Africa, but to a lesser extent in Scotland. The study expands the existing body of knowledge on IEO of university students. In addition, it provides insight for policymakers in the respective countries.
Pancreatic cancer tumor organoids exhibit subtype-specific differences in metabolic profiles
Authors: Ali Hassan A. , Karasinska Joanna M. , Topham James T. , Johal Danisha , Kalloger Steve , Metcalfe Andrew , Warren Cassia S. , Miyagi Anthony , Tao Lan V. , Kevorkova Maya , Chafe Shawn C. , McDonald Paul C. , Dedhar Shoukat , Parker Seth J. , Renouf Daniel J. , Schaeffer David F. 
Published: October 2024

Abstract
Background
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive disease characterized by complex metabolic rewiring that enables growth in changing nutrient availability and oxygen conditions. Transcriptome-based prognostic PDAC tumor subtypes, known as ‘basal-like’ and ‘classical’ subtypes are associated with differences in metabolic gene expression including genes involved in glycolysis. Tumor subtype-specific metabolism phenotypes may provide new targets for treatment development in PDAC, but their functional relevance has not been fully elucidated. We aimed to investigate differences in metabolic profiles and transcriptomes in tumor models derived from patients with basal-like and classical tumors.

Methods
Patient-derived organoids (PDOs) were established from tumor biopsies collected from patients with metastatic PDAC, including three PDOs from basal-like and five PDOs from classical tumors. Metabolic analyses included assessment of differences in metabolic activity using Seahorse Glycolysis and Mito Stress tests and 13C-glucose metabolites tracing analysis. In order to investigate the influence of mitochondrial pyruvate transport on metabolic differences, PDOs were treated with the mitochondrial pyruvate carrier 1 (MPC1) inhibitor UK-5099. Prognostic relevance of MPC1 was determined using a tumor tissue microarray (TMA) in resectable, and proteomics profiling in metastatic PDAC datasets. Whole genome and transcriptome sequencing, differential gene expression and gene set enrichment analyses were performed in PDOs.

Results
Metastatic PDAC PDOs showed subtype-specific differences in glycolysis and oxidative phosphorylation (OXPHOS). Basal-like tumor-derived PDOs had a lower baseline extracellular acidification rate, but higher glycolytic reserves and oxygen consumption rate (OCR) than classical tumor-derived PDOs. OCR difference was eliminated following treatment with UK-5099. In the 13C-glucose metabolites tracing experiment, a basal-like tumor PDO showed lower fractions of some M + 2 metabolites but higher sensitivity to UK-5099 mediated reduction in M + 2 metabolites than a classical tumor PDO. Protein level analyses revealed lower MPC1 protein levels in basal-like PDAC cases and association of low MPC1 levels with clinicopathologic parameters of tumor aggressiveness in PDAC. PDO differential gene expression analyses identified additional subtype-specific cellular pathways and potential disease outcome biomarkers.

Conclusions
Our findings point to distinct metabolic profiles in PDAC subtypes with basal-like tumor PDOs showing higher OXPHOS and sensitivity to MPC1 inhibition. Subtypes-specific metabolic vulnerabilities may be exploited for selective therapeutic targeting.
Hyperspectral retinal imaging in Alzheimer’s disease and age-related macular degeneration: a review
Authors: Du Xiaoxi , Park Jongchan , Zhao Ruixuan , Smith R. Theodore , Koronyo Yosef , Koronyo-Hamaoui Maya , Gao Liang 
Published: October 2024

AbstractWhile Alzheimer’s disease and other neurodegenerative diseases have traditionally been viewed as brain disorders, there is growing evidence indicating their manifestation in the eyes as well. The retina, being a developmental extension of the brain, represents the only part of the central nervous system that can be noninvasively imaged at a high spatial resolution. The discovery of the specific pathological hallmarks of Alzheimer’s disease in the retina of patients holds great promise for disease diagnosis and monitoring, particularly in the early stages where disease progression can potentially be slowed. Among various retinal imaging methods, hyperspectral imaging has garnered significant attention in this field. It offers a label-free approach to detect disease biomarkers, making it especially valuable for large-scale population screening efforts. In this review, we discuss recent advances in the field and outline the current bottlenecks and enabling technologies that could propel this field toward clinical translation.
In-situ monitoring of changes in temperature and microstrain during the chemical corrosion of stone cultural relics
Authors: Wu Huihua , Xie Quanhua , He Yuanyuan , He Xuefeng , Zhou Yuan , Liu Yang , Liu Yufei , Liu Yang , Wan Bo , Zhong Nianbing 
Published: October 2024

Abstract
Temperature changes during the chemical corrosion of stone cultural relics affect the condensation and evaporation of water and chemical reactions between soluble substances and corrosive solutions. This ultimately leads to changes in the internal structure and composition of the artifacts, which in turn lead to changes in the microstrain of cultural relics. To obtain in-situ real-time information on changes in the temperature and microstrain of stone cultural relics during chemical corrosion damage, a fiber Bragg grating (FBG) detection system was developed. The detection principle for the temperature and microstrain of sandstone was provided. Thermal field emission scanning electron microscopy, X-ray diffraction, and mercury intrusion porosimetry were used to characterize the surface morphology, composition, and pore structure of the sandstone samples, respectively. The temperature and microstrain changes of the sandstone samples under deionized water with different acidic/alkaline and salt solutions and at different temperatures were examined online in situ using the FBG measurement system. The results indicate that the dissolution of sandstone in the acidic solution (H2SO4 and NaHSO4) resulted in an exothermic chemical reaction as well as the dissolution of sandstone in the neutral salt solution (Na2SO4) and alkaline solution (NaOH and Na2CO3) led to material conversion and exothermic chemical reaction; the deionization reaction belongs to the dissolution reaction. The NaHSO4 solution caused the most serious corrosive disease on the sandstone surface. When the temperature of the NaHSO4 solution was 60 °C, the temperature and microstrain of the sandstone reached 63.9 °C and 253.6 με, respectively. The results of this study can support the research of revealing the corrosion mechanism of sandstone in different environments.
The effects of the COVID-19 pandemic on pediatric dog bite injuries
Authors: Menk Paul T. , Mahabee-Gittens E. Melinda , Pomerantz Wendy J. 
Published: October 2024

Abstract
Background/objective
Shortly after the onset of the COVID Pandemic, when many schools and outside activities were suspended, dog adoption rates increased. It is unknown if increased dog adoption rates along with stay-at-home orders resulted in changes to pediatric dog bite injuries. The objective of this study was to examine the incidence and characteristics of dog bites in children seen in a pediatric emergency department (PED) during the pandemic compared to before.

Methods
A retrospective review of children evaluated in the PED of a level 1 pediatric trauma center and its satellite PED from March 2018 through February 2022 who had a discharge diagnosis of dog bite (ICD-10 W54.0XXA) was conducted. Pre-pandemic cases, March 2018 through February 2020, were compared to those that occurred during the pandemic, March 2020 through February 2022.

Results
There were 2,222 patients included in the study. Compared to pre-pandemic cases, the incidence for the first 12 months of the pandemic was 1.5 times higher than the pre-pandemic 12-month periods but returned closer to the pre-pandemic rates during the second 12 months of the pandemic. More patients were admitted during the pandemic (6.1% vs. 3.7%, p < 0.05). Facial and multiple injuries occurred more frequently during the pandemic (face 35.9% vs. 33.5%: multiple 18.5% vs. 15.6% p < 0.05).

Conclusions
There was a higher incidence of PED visits, higher admission rates, and an increase in multiple body part and facial injuries in children with dog bite injuries during the COVID pandemic compared to pre-pandemic. Pediatric providers should emphasize safe dog interactions with anticipatory guidance.
Ensemble of vision transformer architectures for efficient Alzheimer’s Disease classification
Authors: Shaffi Noushath , Viswan Vimbi , Mahmud Mufti 
Published: October 2024

AbstractTransformers have dominated the landscape of Natural Language Processing (NLP) and revolutionalized generative AI applications. Vision Transformers (VT) have recently become a new state-of-the-art for computer vision applications. Motivated by the success of VTs in capturing short and long-range dependencies and their ability to handle class imbalance, this paper proposes an ensemble framework of VTs for the efficient classification of Alzheimer’s Disease (AD). The framework consists of four vanilla VTs, and ensembles formed using hard and soft-voting approaches. The proposed model was tested using two popular AD datasets: OASIS and ADNI. The ADNI dataset was employed to assess the models’ efficacy under imbalanced and data-scarce conditions. The ensemble of VT saw an improvement of around 2% compared to individual models. Furthermore, the results are compared with state-of-the-art and custom-built Convolutional Neural Network (CNN) architectures and Machine Learning (ML) models under varying data conditions. The experimental results demonstrated an overall performance gain of 4.14% and 4.72% accuracy over the ML and CNN algorithms, respectively. The study has also identified specific limitations and proposes avenues for future research. The codes used in the study are made publicly available.
Sport and Autism: What Do We Know so Far? A Review
Authors: Grosprêtre Sidney , Ruffino Célia , Derguy Cyrielle , Gueugneau Nicolas 
Published: October 2024

AbstractAutism, or autism spectrum disorders, is a neurodevelopmental condition characterized by limitations in social interaction, communication skills, and repetitive behaviors. Although motor disorders were previously considered marginal in autism, recent research has highlighted their significance. Numerous studies have underscored the positive impact of sports on autistic individuals. This article presents a comprehensive overview of the literature regarding the effects of sport interventions on autistic individuals and aims to extract general and practical recommendations. Initially, the article reviews the various characteristics of autism that are positively impacted by sports, ranging from psycho-social skills to motor behavior. Subsequently, it examines how different configurations of sports practice (individual/collective, indoor/outdoor, etc.) may be suitable for autistic individuals. Literature research was conducted in two databases, resulting in the inclusion of 92 articles meeting longitudinal criteria (i.e., containing full sport/physical activity programs with pre-to-post analyses) out of 1665 initially identified articles. The findings suggest that individuals with autism can benefit from sports across a wide range of physical, psychological, and social factors. Importantly, there is no full contraindication for any activity, although some may require specific step-by-step preparation. Each activity has the potential to provide benefits in specific areas, as discussed in the article. In conclusion, further research is needed to explore the most effective strategies for implementing sports programs and maximizing their benefits for individuals across the autism spectrum.
Do earthquakes shake the stock market? Causal inferences from Turkey’s earthquake
Authors: Khan Khalid , Cifuentes-Faura Javier , Shahbaz Muhammad 
Published: October 2024

AbstractThis study’s main purpose is to use Bayesian structural time-series models to investigate the causal effect of an earthquake on the Borsa Istanbul Stock Index. The results reveal a significant negative impact on stock market value during the post-treatment period. The results indicate rapid divergence from counterfactual predictions, and the actual stock index is lower than would have been expected in the absence of an earthquake. The curve of the actual stock value and the counterfactual prediction after the earthquake suggest a reconvening pattern in the stock market when the stock market resumes its activities. The cumulative impact effect shows a negative effect in relative terms, as evidenced by the decrease in the BIST-100 index of − 30%. These results have significant implications for investors and policymakers, emphasizing the need to prepare for natural disasters to minimize their adverse effects on stock market valuations.