bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding the barriers and facilitators to implementing and sustaining Mobile Overdose Response Services from the perspective of Canadian key interest groups: A qualitative study.
Authors: Seo Boogyung , Rider Nathan , Rioux William , Teare Adrian , Jones Stephanie , Taplay Pamela , Ghosh S. Monty 
Published: December 2023

Abstract
Introduction: Unregulated supply of fentanyl and adulterants continues to fuel the opioid epidemic across the globe. Mobile Overdose Response Services (MORS) are novel technologies that offer virtual supervised consumption (including hotline and mobile applications) to minimize the risk of fatal overdose for those who are unable to access a physical supervised consumption site. However, as newly implemented services, they are also faced with numerous limitations. The objective of this study was to examine the facilitators and barriers to the adoption and implementation of MORS in the context of the current drug poisoning crisis in Canada.
Methods: A total of 64 semi-structured interviews were conducted between November 2021 and April 2022. Participants consisted of individuals with lived or living experience of substance use (i.e. peers), family members, health care providers, harm reduction workers, members of the general public, and MORS operators. Inductive thematic analysis informed by grounded theory was used to identify major themes and subthemes.
Results: Respondents revealed that MORS facilitated a safe, trauma-informed environment for PWUS to seek harm reduction and other necessary support. It also created a new sense of purpose for operators to positively contribute to the community. However, barriers to adoption of MORS included uncertainty of funding, lacking marketing strategies, and compassion fatigue amongst the workers.
Conclusion: Although MORS were viewed as a useful addition to the currently existing harm reduction toolkit, its barriers to adoption must be continuously examined and monitored in various contexts by engaging the perspectives of key interest groups.
Nemabiome metabarcoding shows a high prevalence of Haemonchus contortus and predominance of Camelostrongylus mentulatus in alpaca herds in the northern UK
Authors: Zahid Osama , Butler Meghan , Hopker Andy , Freeman Emily , Júnior Livio M. Costa , Chaudhry Umer , Sargison Neil 
Published: December 2023

Abstract

Gastrointestinal nematodes (GINs) are a common threat faced by pastoral livestock. Since their major introduction to the UK in the early 1990s, South American camelids have been co-grazed with sheep, horses, and other livestock, allowing exposure to a range of GIN species. However, there have been no molecular-based studies to investigate the GIN populations present in these camelids. In the current study, we sampled nine alpaca herds from northern England and southern Scotland and used high-throughput metabarcoded sequencing to study the GIN species. A total of eight known GIN species were found, and 71 amplicon sequence variants (ASVs) were identified. Haemonchus contortus was the most prevalent species found in almost all herds in significant proportions. The identification of H. contortus in other livestock species is unusual in the area, implying that alpacas may be suitable hosts and potential reservoirs for infection in other hosts. In addition, the camelid-adapted GIN species Camelostrongylus mentulatus was identified predominantly on farms with higher faecal egg counts. These findings highlight the importance of applying advanced molecular methods, such as nemabiome metabarcoding to describe the dynamics of gastrointestinal nematode infections in novel situations. The results provide a strong base for further studies involving co-grazing animals to confirm the potential role of alpacas in transmitting GIN species between hosts.
Gravitational self-lensing of the supermassive black hole binary in NGC1566
Authors: Kollatschny Wolfram , Probst Malte , Ochmann Martin , Chelouche Doron 
Published: December 2023

Abstract
It is generally accepted that all massive galaxies host supermassive black holes in their center1 and that mergers of two galaxies lead to the formation of black hole binaries2. The most interesting among them comprise the mergers in their final state, i.e. with pc (3.2 light years) or sub-pc orbital separations. Binary self-lensing is a possibility to detect these systems.
Here we report the detection of a central supermassive black hole binary in the active galaxy (AGN) NGC1566 based on a microlensing outburst. The light curve of the outburst - based on observations with the All Sky Automated Survey for SuperNovae - lasted from the beginning of the year 2017 until the beginning of 2020. The shape of the symmetric light curve looks very different with respect to normal random variations of AGN3,4. However, it could be easily reproduced with a best-fit standard microlensing light curve5. Based on the light curve we derive a characteristic time-scale of 155 days. During the outburst, the continuum as well as the broad line intensities varied - however the narrow emission lines did not. This is an indication that the lensing object orbits the AGN nucleus between the broad line region and the narrow line region, i.e. at a distance on the order of 250 light days. The observed characteristic time-scale depends on the lens mass, the distances between lens and source, and the transverse velocity. The light curve can be reproduced by a lens with a black hole (BH) mass of 5x105 M⊙. This implies a mass ratio to the central AGN on the order of 1 to 10.
Associations between Life’s Essential 8 with Depression in U.S. Adult: A nationally representative cross-sectional study
Authors: Zeng Peng , Wen Xiang , Luo Xueshan , Zhou Mengyuan , Jiang Cheng 
Published: December 2023

Abstract
Background
The comprehensive impact of cardiovascular health behaviors and factors on the risk of depression is closely related. Our objective was to evaluate the correlation between the quantifiable cardiovascular health(CVH) index - known as Life’s Essential 8 (LE8) score and depression.
Method
We employed weighted multiple logistic regression to assess the association between the LE8 score with depression. The restricted Cubic Spline (RCS) model was utilized to evaluate potential non-linear relationships.
Results
A total of 25,794 U.S. adults were enrolled. In the multivariate model, a negative linear association between LE8 score and the risk of depression was observed in both males (OR for a per 10-scores increase:0.75, 95%CI: 0.70,0.81) and females(OR for a per 10-scores increase:0.69, 95%CI:0.65,0.74),. Similar patterns were noted in the association between health behavior and health factor scores with depression in females. Among males, a negative linear relationship is evident between depression and health behavior scores, while no significant association is observed with health factor scores. Regarding the LE8 components, a strong negative association between depression and sleep health scores is observed regardless of gender. Subgroup analysis demonstrated a stronger negative linear association between LE8 and depression in the Other Hispanic population, individuals with higher income, and those with higher levels of education, in both males and females.
Conclusions
The current study demonstrates a negative correlation between adults' LE8 score and the presence of depression. Enhancing compliance with LE8 may serve as an effective preventive and management strategy for reducing the burden of depression.
Substance use among students of two high schools in Yaoundé, Cameroon
Authors: Ekwoge Hilda Tonge , Mbah Sonita Anjei , Fodjo Joseph Nelson Siewe , Mbange Germaine L. , Ngarka Leonard , Ntone Felicien E. , Njamnshi Alfred K. 
Published: December 2023

Abstract

Background
Substance use among adolescents is on the rise on the African continent in general, and specifically in Cameroon. However, data on this subject remain scarce, thereby making it difficult to develop context-relevant policies.
Methods
Between January to May 2022, we conducted a study which retrospectively documented lifetime substance use among students of two high schools in Yaoundé, Cameroon. Data on socio-demographics, psychosocial parameters, and history of substance use were collected from students via facilitated self-administered questionnaires. Validated tools (such as the patient health questionnaire PHQ-4 and the 7-item Weinberger adjustment inventory) were used to assess anxiety, depression, self-esteem, and other youth behavioural risks. Factors associated with a history of substance use were investigated using multiple logistic regression.
Results
We recruited 373 students (43.0% male, mean age: 16 ± 1.6 years). Overall, 42.4% had already consumed at least one substance, notably alcohol (40.5%), vap/shisha (8.3%), and tobacco/cigarettes (2.7%). Previous tramadol use was reported by 6 (1.6%) participants. Of the 50 sexually active participants, 37 (74.0%) had a history of substance use. The multiple logistic regression analysis found that the following factors were associated with increased odds of lifetime substance use among students: Male gender (OR: 2.013, 95% CI: 1.127–3.595), depression (OR: 1.238, 95% CI: 1.031–1.487) and low self-esteem (OR: 1.083, 95% CI: 1.003–1.168). Meanwhile, increased parental concerns about drug use served as a protective factor for substance use among the students (OR: 0.196, 95% CI: 0.078–0.496).
Conclusion
About two-fifth of the enrolled high school students had already consumed one or more psychoactive substances, highlighting the need for urgent preventive interventions. For optimal impact, substance use preventive programs should include self-esteem building among the students and improved parental attitudes towards drugs.
Risk factors for subchondral bone alterations in TMJ arthralgia: a retrospective multivariate CBCT study
Authors: Emshoff Rüdiger , Rudisch Ansgar , Bertram Stefan 
Published: December 2023

Abstract
Background
Temporomandibular joint (TMJ) osteoarthritis (OA) is a progressive degenerative joint disorder characterized by loss of cartilage and alterations in subchondral bone architecture. Prospective studies using multivariable analysis to identify risk factors for subchondral bone alterations (SBAs) are lacking. The aim of this study was to identify clinical baseline predictors mostly associated with the severity of TMJ condylar SBAs.
Methods
This retrospective paired-design study enrolled 233 consecutive TMJ pain patients. TMJ pain patients were classified according to the diagnostic criteria for temporomandibular disorders (DC/TMD) Axis I protocol. Following clinical examination, each patient underwent cone beam computed tomography (CBCT) evaluation of both TMJs. A composite condylar SBA grading score was created from the following items: erosion, resorption, cyst, sclerosis, osteophyte, and flattening; the maximum possible score was 4. Multivariate ordinal regression analysis identified baseline predictors of CBCT condylar SBA grades.
Results
The study group included 87.6% women, and the overall average age of the study population was 41.9 ± 18.1 years. The following factors were significantly associated with the severity of condylar SBAs: older age (> 45 years) (odds ratio [OR], 4.53; p < 0.001), having concomitant arthralgia (OR, 1.85; p = 0.035), and higher number of missing posterior teeth (> 4) (OR, 1.80; p = 0.039). Gender (p = 0.080) and time since pain onset (p < 0.05) had no significant association with condylar SBA grade.
Conclusions
Older patients with missing posterior teeth who have a concurrent arthralgia should be advised of their increased risk of developing SBAs. Delayed diagnosis and treatment can be avoided by focusing on these risk factors.
Injury Characteristics, Psychological Symptomatology, and Pain-Related Disability in Workers' Compensation Claimants: The Mediating Role of Case Manager Interactions
Authors: Boyd Brayden 
Published: December 2023

Abstract
Purpose Facing difficulties related to the workers’ compensation process has the potential to negatively impact the psychological health of occupational injury claimants and may hinder recovery and return-to-work outcomes. This research investigates how the relationship between physical injury characteristics and claimants’ perceptions of their interactions with case managers impact psychological symptomatology and pain-related disability. It was anticipated that case-manager interactions would mediate the relationship between chronic pain and pain-related disability through their impact on depression, anxiety, and stress. Additionally, it was posited that case manager interactions would mediate the relationships between injury type/visibility and psychological health.
Methods A cohort of 210 compensation claimants from British Columbia, Canada, completed the Graded Chronic Pain Scale-Revised (GCPS-R); the Interpersonal Justice (INTPJ) and Informational Justice (INFOJ) subscales of the Perceived Justice of Compensation Process Scale; the Depression, Anxiety, and Stress Scales 21-item (DASS); the Pain Disability Index (PDI) and a demographic and claim information questionnaire.
Results After controlling for potential confounds, bootstrapped multiple mediation analysis revealed that perceived justice and DASS collectively mediate the relationship between GCPS-R and PDI: INTPJ (bi* = 0.06, BCa CI [0.02, 0.12]), INFOJ (bi* = 0.08, BCa CI [0.02, 0.15]). Further, the relationship between injury visibility and psychological health is mediated by INTPJ (bi* = 0.45, BCa CI [0.23, 0.70]) and INFOJ (bi* = 0.38, BCa CI [0.17, 0.63]).
Conclusions These findings suggest that claims involving complex conditions are associated with poorer interactions between claimants and case managers, which magnifies psychological distress and pain-related disability.
Calibration-Free Travel Time After Photobleaching Velocimetry
Authors: Wang Audrey J. , Deng Jianyu , Westbury David , Downey Austin R.J. , Wang Yi , Wang Guiren 
Published: December 2023

Abstract

In interfacial science and microfluidics, there is an increasing need for improving the ability to measure flow velocity profiles in the sub-micrometer range to better understand transport phenomena at interfaces, such as liquid-solid interfaces. Current standard methods of velocimetry typically use particles as tracers. However, seed particles can encounter issues at liquid and solid interfaces, where charge interactions between particles and surfaces can limit their ability to measure near-wall flows accurately. Furthermore, in many flows, seed particles have a different velocity from that of their surrounding fluid, which the particles are intended to represent. Several molecular tracer-based velocimeters have been developed which can bypass these issues. However, they either have limited resolution for measurement near solid surfaces, such as for slip flows, or require pre-calibration. Laser-induced fluorescence photobleaching anemometry (LIFPA) is one such technique that is noninvasive and has achieved unprecedented nanoscopic resolution for flow velocity profile measurement. However, it also requires pre-calibration, which is unavailable for unknown flows. Here, we present a novel, calibration-free technique called travel time after photobleaching (TTAP) velocimetry, which can measure flow velocity profiles and near-wall flow with high spatiotemporal resolution. Furthermore, TTAP velocimetry is compatible with LIFPA, and thus, the two systems can be coupled to satisfy LIFPA’s long-anticipated need for pre-calibration, enabling measurement of flow velocity profiles in unknown flows with salient resolution.
Irrigated rice yield plateau is caused by management factors in Argentina
Authors: Meus Lorenzo Dalcin , Quintero Cesar Eugenio , Silva Michel Rocha da , Streck Nereu Augusto , Carvalho Ivan Ricardo , Soares Maurício Fornalski , Zarmero María de Los Angeles , Ribas Giovana Ghisleni , Zanon Alencar Junior 
Published: December 2023

Abstract
Over the past 15 years, Argentina has experienced a consistent stability in rice grain yield, diverging from the substantial annual increases seen in other South American countries, reaching up to 3%. This study addresses two primary objectives: (a) quantifying the yield potential and gap in irrigated rice production and (b) identifying key management practices influencing yield disparities. Leveraging an extensive dataset from the analysis of over 2,600 rice fields across ten growing seasons, we utilized estimations with the ORYZA v3 crop simulation model. The estimated yield potential for irrigated rice in Argentina averaged 14.1 Mg ha-1, with regional range from 13.4 to 15.1 Mg ha-1. Southern regions exhibited the highest yield potential at 15.1 Mg ha-1, while Northern regions showed a lower yield potential at 13.4 Mg ha-1. The current yield gap in Argentina stands at 53% of the yield potential, with variations across regions between 47% and 56%. To overcome the current yield plateau, Argentina can strategically shift management practices, including: earlier sowing date and irrigation, increased rotation, optimized density, and adjusted K2O fertilizer rates. These measures offer the potential to significantly enhance the average rice yield, positioning Argentina as a major global player in rice exports, contributing to global food security without substantial land expansion. This study underscores the overlooked potential for growth in Argentina's rice production sector and its pivotal role in ensuring global food security.
Extreme Tibetan Plateau cooling caused by tropical volcanism
Authors: Liu Fei , Zhu Xian , Ji Zhenming , Dong Wenjie , Gao Chaochao 
Published: December 2023

Abstract

The Tibetan Plateau (TP) is experiencing a significant imbalance of glacier mass as a result of atmospheric warming. The warming on the TP has generally been attributed to both climate internal variability and anthropogenic forcing. Here we show that the recent five large tropical volcanic eruptions since 1863 have caused an extreme TP cooling up to -0.80 K during the first boreal winter following the eruptions, much larger than the global average terrestrial cooling of -0.30 K. The extreme TP cooling response of -0.79 K to tropical eruptions is simulated by the multimodel ensemble mean of the Phase 6 Coupled Model Intercomparison Project when realistic sea surface temperatures are specified for the atmospheric models, and it is much larger than the direct aerosol cooling of -0.36 K simulated by the historical runs. The positive North Atlantic Oscillation during the post-eruption winter plays the key role in amplifing the TP cooling through atmospheric teleconnection, which overwhelms the warming response associated with the frequently occurring El Niños. Results from this study put into perspective the potential contribution of volcanic activity to certain TP cooling.
metaExpertPro: a computational workflow for metaproteomics spectral library construction and data-independent acquisition mass spectrometry data analysis
Authors: Sun Yingying , Xing Ziyuan , Liang Shuang , Miao Zelei , Zhuo Lai-bao , Jiang Wenhao , Zhao Hui , Gao Huanhuan , Xie Yuting , Zhou Yan , Yue Liang , Cai Xue , Chen Yu-ming , Zheng Ju-Sheng , Guo Tiannan 
Published: December 2023

Abstract
Background
Analysis of mass spectrometry-based metaproteomic data, in particular large-scale data-independent acquisition MS (DIA-MS) data, remains a computational challenge. Here, we aim to develop a software tool for efficiently constructing spectral libraries and analyzing extensive datasets of DIA-based metaproteomics.
Results
We present a computational pipeline called metaExpertPro for metaproteomics data analysis. This pipeline encompasses spectral library generation using data-dependent acquisition MS (DDA-MS), protein identification and quantification using DIA-MS, functional and taxonomic annotation, as well as quantitative matrix generation for both microbiota and hosts. To enhance accessibility and ease of use, all modules and dependencies are encapsulated within a Docker container.
By integrating FragPipe and DIA-NN, metaExpertPro offers compatibility with both Orbitrap-based and PASEF-based DDA and DIA data. To evaluate the depth and accuracy of identification and quantification, we conducted extensive assessments using human fecal samples and benchmark tests. Performance tests conducted on human fecal samples demonstrated that metaExpertPro quantified an average of 45,000 peptides in a 60-minute diaPASEF injection. Notably, metaExpertPro outperformed three existing software tools by characterizing a higher number of peptides and proteins. Importantly, metaExpertPro maintained a low factual False Discovery Rate (FDR) of less than 5% for protein groups across four benchmark tests. Applying a filter of five peptides per genus, metaExpertPro achieved relatively high accuracy (F-score = 0.67–0.90) in genus diversity and demonstrated a high correlation (rSpearman = 0.73–0.82) between the measured and true genus relative abundance in benchmark tests.
Additionally, the quantitative results at the protein, taxonomy, and function levels exhibited high reproducibility and consistency across the commonly adopted public human gut microbial protein databases IGC and UHGP. In a metaproteomic analysis of dyslipidemia patients, metaExpertPro revealed characteristic alterations in microbial functions and potential interactions between the microbiota and the host.
Conclusions
metaExpertPro presents a robust one-stop computational solution for constructing metaproteomics spectral libraries, analyzing DIA-MS data, and annotating taxonomic as well as functional data.
Fasting blood glucose as an independent mortality predictor in anti-MDA5-positive dermatomyositis-associated interstitial lung disease
Authors: Chen Bo , Liu Tao , Yang Leiyi , Yin Geng , Xie Qibing 
Published: December 2023

Abstract
Background: Anti-MDA5-positive dermatomyositis-associated interstitial lung disease (ILD) is a life-threatening disease with poor prognosis. Hyperglycemia is associated with an increased risk of mortality in patients with auto-immune disease. This work aimed to assess the clinical significance of fasting blood glucose (FBG) level in patients with anti-MDA5-positive dermatomyositis (DM)-associated interstitial lung disease.
Methods: This is a retrospective study in a single center at West China Hospital of Sichuan University, Chendu, China. The outcome was defined as death from any cause during the follow-up period. Multivariable Cox regression was performed to explore the risk factors associated with mortality in patients with anti-MDA5-positive DM-associated ILD.
Results: A total of 200 consecutive patients were enrolled, among which 55 died during the follow-up period. Multivariable Cox regression analysis showed that the hazard ratio (HR) for long-term mortality in patients with FBG ≥ 7 mmol/L and 5.6-6.9 mmol/L vs. < 5.6 mmol/L was 2.16 (95% confidence interval [CI] 1.10 to 4.23) and 1.61 (95% CI 0.80 to 3.26), respectively. Patients with the history of diabetes showed no significantly increased overall mortality compared with those without a history of diabetes (crude HR 0.75, 95% CI 0.27 to 2.06).
Conclusions: Hyperglycemia is highly prevalent in anti-MDA5-positive CADM-ILD patients. FBG ≥ 7 mmol/L on admission represents a clinical risk factor for long-term mortality in patients with anti-MDA5-positive DM-associated ILD. Thus, timely and strict glycemic control may substantially affect mortality.