bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gender, marginalised groups, and young people’s mental health: a longitudinal analysis of trajectories
Authors: Lereya Suzet Tanya , Norton Sam , Crease Maddison , Deighton Jessica , Labno Angelika , Ravaccia Giulia Gaia , Bhui Kamaldeep , Brooks Helen , English Cara , Fonagy Peter , Heslin Margaret , Edbrooke-Childs Julian 
Published: February 2024

Abstract
Background
Individuals from marginalised groups experience higher levels of mental health difficulties and lower levels of wellbeing which may be due to the exposure to stress and adversity. This study explores trajectories of mental health over time for young women and girls and young people with other marginalised identities.

Methods
We conducted a secondary analysis on N = 14,215 children and young people (7,501 or 52.8% female, 6,571 or 46.2% male, and 81 or 0.6% non-binary or questioning) who completed a survey at age 11 to 12 years and at least one other annual survey aged 12 to 13 years and/or aged 13 to 14 years. We used group-based trajectory models to examine mental health difficulties.

Results
Except for behavioural difficulties, young women’s and girls’ trajectories showed that they consistently had higher levels of mental health difficulties compared to young men and boys. A similar pattern was shown for non-binary and questioning children and young people. Children and young people with economic disadvantage and/or special education needs, and/or for whom there were welfare concerns, were generally more likely to experience higher levels of mental health difficulties.

Conclusions
This information could inform public policy, guidance and interventions.
Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis
Authors: Batista Sandra , Madar Vered Senderovich , Freda Philip J. , Bhandary Priyanka , Ghosh Attri , Matsumoto Nicholas , Chitre Apurva S. , Palmer Abraham A. , Moore Jason H. 
Published: February 2024

Abstract
Purpose
Epistasis, the interaction between two or more genes, is integral to the study of genetics and is present throughout nature. Yet, it is seldom fully explored as most approaches primarily focus on single-locus effects, partly because analyzing all pairwise and higher-order interactions requires significant computational resources. Furthermore, existing methods for epistasis detection only consider a Cartesian (multiplicative) model for interaction terms. This is likely limiting as epistatic interactions can evolve to produce varied relationships between genetic loci, some complex and not linearly separable.

Methods
We present new algorithms for the interaction coefficients for standard regression models for epistasis that permit many varied models for the interaction terms for loci and efficient memory usage. The algorithms are given for two-way and three-way epistasis and may be generalized to higher order epistasis. Statistical tests for the interaction coefficients are also provided. We also present an efficient matrix based algorithm for permutation testing for two-way epistasis. We offer a proof and experimental evidence that methods that look for epistasis only at loci that have main effects may not be justified. Given the computational efficiency of the algorithm, we applied the method to a rat data set and mouse data set, with at least 10,000 loci and 1,000 samples each, using the standard Cartesian model and the XOR model to explore body mass index.

Results
This study reveals that although many of the loci found to exhibit significant statistical epistasis overlap between models in rats, the pairs are mostly distinct. Further, the XOR model found greater evidence for statistical epistasis in many more pairs of loci in both data sets with almost all significant epistasis in mice identified using XOR. In the rat data set, loci involved in epistasis under the XOR model are enriched for biologically relevant pathways.

Conclusion
Our results in both species show that many biologically relevant epistatic relationships would have been undetected if only one interaction model was applied, providing evidence that varied interaction models should be implemented to explore epistatic interactions that occur in living systems.
The first Cyclida from the Triassic of Italy
Authors: Pieroni Vittorio 
Published: February 2024

AbstractA well-preserved carapace of the crustacean Halicyne is here described. The finding comes from the Sostegno Basin (Piedmont, Italy). This is the first occurrence of a well-preserved arthropod from the Middle Triassic San Salvatore Formation of the Biellese area and the first report of a Triassic Cyclida from Italy. Cyclida often occurs in shallow marine environments with rapidly changing salinity conditions. The finding from the Sostegno area suggests a hypersaline paleoenvironment similar to that of Monte San Salvatore (Ticino, Switzerland) upper levels, where the same taxon was previously documented. These fossiliferous localities are shortly compared with that of Rasa di Varese (Lombardy, Italy).
Recognition of warheads by range-profile matching with automatic threshold
Authors: Tan Donglin , Wang Junfeng 
Published: February 2024

AbstractIn this paper, a novel algorithm is presented for warhead recognition in the defense of ballistic missiles. The range profiles from the warheads of interest in typical illumination directions form a dataset. First, each range profile in the dataset is compared to the range profile of the target under observation, and the most similar range profile is found. Then, the observed target is considered as a warhead if the deviation of its range profile from the most similar range profile is less than or equal to a threshold. The threshold is chosen such that the detection rate is a constant. The simulation results verify the effectiveness of the proposed algorithm. Since the threshold is automatically calculated according to the detection rate, this algorithm has a larger applicability than the current methods based on range-profile matching.
Determinants of financial distress: evidence from insurance companies in Ethiopia
Authors: Kebede Tekalign Negash , Tesfaye Getahun Deribe , Erana Obsa Teferi 
Published: February 2024

AbstractThe issue of financial distress has received much attention of scholars because it harms firm financial and operational systems which could lead to insolvency. The objective of this study is to examine the determinants of financial distress in Ethiopian insurance companies. A panel dataset was obtained from 11 insurance companies which range from 2010 to 2021. The study used the “Altman’s Z”-score model as a measure for financial distress. The pooled OLS regression results revealed that profitability (ROA), liquidity levels, insurers’ size, earnings growth, diversification have negative and significant effect on financial distress. Moreover, inflation rate, claims ratio, leverage, and asset tangibility have positive significant impact on financial distress. The study will have implications for different stakeholders, such as managers, policy makers, shareholders, etc., in that firm-specific and macro-economic factors are essential for managing the status of financial distress.
Prevalence of colistin resistance in clinical isolates of Acinetobacter baumannii: a systematic review and meta-analysis
Authors: Bostanghadiri Narjess , Narimisa Negar , Mirshekar Maryam , Dadgar-Zankbar Leila , Taki Elahe , Navidifar Tahereh , Darban-Sarokhalil Davood 
Published: February 2024

Abstract
Introduction
The development of colistin resistance in Acinetobacter baumannii during treatment has been identified in certain patients, often leading to prolonged or recurrent infections. As colistin, is the last line of therapy for A. baumannii infections that are resistant to almost all other antibiotics, colistin-resistant A. baumannii strains currently represent a significant public health threat, particularly in healthcare settings where there is significant selective pressure.

Aim
The aim of this study was to comprehensively determine the prevalence of colistin resistance in A. baumannii from clinical samples. Regional differences in these rates were also investigated using subgroup analyses.

Method
The comprehensive search was conducted using “Acinetobacter baumannii”, “Colistin resistant” and all relevant keywords. A systematic literature search was performed after searching in PubMed, Embase, Web of Science, and Scopus databases up to April 25, 2023. Statistical analysis was performed using Stata software version 17 and sources of heterogeneity were evaluated using I2. The potential for publication bias was explored using Egger's tests. A total of 30,307 articles were retrieved. After a thorough evaluation, 734 studies were finally eligible for inclusion in the present systematic review and meta-analysis.

Result
According to the results, the prevalence of resistance to colistin among A. baumannii isolates was 4% (95% CI 3–5%), which has increased significantly from 2% before 2011 to 5% after 2012. South America had the highest resistance rate to this antibiotic. The broth microdilution method had the highest level of resistance, while the agar dilution showed the lowest level.

Conclusions
This meta-analysis found a low prevalence of colistin resistance among A. baumannii isolates responsible for infections worldwide from 2000 to 2023. However, there is a high prevalence of colistin-resistant isolates in certain countries. This implies an urgent public health threat, as colistin is one of the last antibiotics available for the treatment of infections caused by XDR strains of A. baumannii.
Development of fermented beverage with citrus fruit extract using probiotics: impact on antioxidant activity and in vitro digestibility
Authors: Kim Doyoung , Oh Imkyung 
Published: February 2024

AbstractRedhyang (Citrus hybrid ‘Kanpei’,CHK) is a subtropical citrus species introduced in Korea due to climate change. To enhance the nutritional value and usability of CHK as a processed food product, CHK extract was fermented with four types of commercial starters (YoFlex Harmony 1.0 (YFH), ABY-3 (ABY), YC-X11 (YXC), and YC-180 (YC)), and their antioxidant activities and changes in chemical properties during fermentation were investigated. The consumer acceptance of probiotic beverages containing fermented CHK extracts and their viability and antioxidant activity through in vitro digestion were also elucidated. The enumeration of lactic acid bacteria (LAB) in all samples after fermentation was above 7.60 log colony-forming units (CFU)/mL, with YC exhibiting the highest number after 24 h. Fermented CHK extracts containing higher levels of organic acids, total polyphenols, and flavonoids tended to exhibit higher antioxidant activities. YFH, ABY, and YC showed maximum antioxidant activity at 24 h, whereas YXC showed differences in the types of LAB at 12 h. After in vitro digestion, YXC showed higher antioxidant activity and LAB viability than the control. This result indicates that CHK extract fermented with YXC can increase antioxidant activity, bioactive ingredients, and sensory preference and positively impact the production of probiotic beverages.
Microplastic contamination, an emerging threat to the freshwater environment: a systematic review
Authors: Bhardwaj Laxmi Kant , Rath Prangya , Yadav Poornima , Gupta Urvashi 
Published: February 2024

AbstractMicroplastics have been noticed as widespread in an aquatic environment at the microscale. They have nonstop increased due to the increase in the production of synthetic plastics, population and poor waste management. They are ubiquitous in nature and slowly degrade in water and soil. They are emerging pollutants that have received interest from public audiences and research communities. They have great stability and can adsorb various other pollutants like pesticides, heavy metals, etc. After entering the freshwater environment, microplastics can be stored in the tissue of organisms and stay for a long time. They can generate a serious threat to freshwater ecosystems and can cause physical damage to organisms. Visual identification, Raman spectroscopy, pyrolysis–gas chromatography–mass spectrometry (Pyro–GC–MS), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and combined methods are the commonly known methods for the quantification and identification of microplastics. The detected concentration of microplastics depends on the sampling method, locations and identification techniques. The authors assessed the sources, transport, impacts, identification and characterization, and treatment of microplastics in freshwater environments in detail. The authors are also giving some recommendations for the minimization of the MPs from the freshwater environment. This review article will provide the baseline facts for the investigators to do more research on microplastic pollution in the future.Graphical Abstract
Electrochemical random-access memory: recent advances in materials, devices, and systems towards neuromorphic computing
Authors: Kwak Hyunjeong , Kim Nayeon , Jeon Seonuk , Kim Seyoung , Woo Jiyong 
Published: February 2024

AbstractArtificial neural networks (ANNs), inspired by the human brain's network of neurons and synapses, enable computing machines and systems to execute cognitive tasks, thus embodying artificial intelligence (AI). Since the performance of ANNs generally improves with the expansion of the network size, and also most of the computation time is spent for matrix operations, AI computation have been performed not only using the general-purpose central processing unit (CPU) but also architectures that facilitate parallel computation, such as graphic processing units (GPUs) and custom-designed application-specific integrated circuits (ASICs). Nevertheless, the substantial energy consumption stemming from frequent data transfers between processing units and memory has remained a persistent challenge. In response, a novel approach has emerged: an in-memory computing architecture harnessing analog memory elements. This innovation promises a notable advancement in energy efficiency. The core of this analog AI hardware accelerator lies in expansive arrays of non-volatile memory devices, known as resistive processing units (RPUs). These RPUs facilitate massively parallel matrix operations, leading to significant enhancements in both performance and energy efficiency. Electrochemical random-access memory (ECRAM), leveraging ion dynamics in secondary-ion battery materials, has emerged as a promising candidate for RPUs. ECRAM achieves over 1000 memory states through precise ion movement control, prompting early-stage research into material stacks such as mobile ion species and electrolyte materials. Crucially, the analog states in ECRAMs update symmetrically with pulse number (or voltage polarity), contributing to high network performance. Recent strides in device engineering in planar and three-dimensional structures and the understanding of ECRAM operation physics have marked significant progress in a short research period. This paper aims to review ECRAM material advancements through literature surveys, offering a systematic discussion on engineering assessments for ion control and a physical understanding of array-level demonstrations. Finally, the review outlines future directions for improvements, co-optimization, and multidisciplinary collaboration in circuits, algorithms, and applications to develop energy-efficient, next-generation AI hardware systems.
Lung- and diaphragm-protective strategies in acute respiratory failure: an in silico trial
Authors: Ratano Damian , Zhang Binghao , Dianti Jose , Georgopoulos Dimitrios , Brochard Laurent J. , Chan Timothy C. Y. , Goligher Ewan C. 
Published: February 2024

Abstract
Background
Lung- and diaphragm-protective (LDP) ventilation may prevent diaphragm atrophy and patient self-inflicted lung injury in acute respiratory failure, but feasibility is uncertain. The objectives of this study were to estimate the proportion of patients achieving LDP targets in different modes of ventilation, and to identify predictors of need for extracorporeal carbon dioxide removal (ECCO2R) to achieve LDP targets.

Methods
An in silico clinical trial was conducted using a previously published mathematical model of patient–ventilator interaction in a simulated patient population (n = 5000) with clinically relevant physiological characteristics. Ventilation and sedation were titrated according to a pre-defined algorithm in pressure support ventilation (PSV) and proportional assist ventilation (PAV+) modes, with or without adjunctive ECCO2R, and using ECCO2R alone (without ventilation or sedation). Random forest modelling was employed to identify patient-level factors associated with achieving targets.

Results
After titration, the proportion of patients achieving targets was lower in PAV+ vs. PSV (37% vs. 43%, odds ratio 0.78, 95% CI 0.73–0.85). Adjunctive ECCO2R substantially increased the probability of achieving targets in both PSV and PAV+ (85% vs. 84%). ECCO2R alone without ventilation or sedation achieved LDP targets in 9%. The main determinants of success without ECCO2R were lung compliance, ventilatory ratio, and strong ion difference. In silico trial results corresponded closely with the results obtained in a clinical trial of the LDP titration algorithm (n = 30).

Conclusions
In this in silico trial, many patients required ECCO2R in combination with mechanical ventilation and sedation to achieve LDP targets. ECCO2R increased the probability of achieving LDP targets in patients with intermediate degrees of derangement in elastance and ventilatory ratio.
Cardiac tamponade complicating esophagectomy and retrosternal gastric tube reconstitution in a patient with an abnormal ascending aorta position: a case report
Authors: Aoyama Shu , Miyazaki Yasuhiro , Motoori Masaaki , Hirota Masashi , Itami Takefumi , Matsumoto Sayaka , Hirano Masataka , Aomatsu Michihiro , Goto Takasumi , Kitahara Mutsunori , Ozato Yuki , Nishizawa Yujiro , Komatsu Hisateru , Inoue Akira , Kagawa Yoshinori , Tomokuni Akira , Iwase Kazuhiro , Nishi Hiroyuki , Fujitani Kazumasa 
Published: February 2024

Abstract
Background
Cardiac tamponade is a rare postoperative complication of esophageal cancer surgery, which leads to rapid hemodynamic changes and can be fatal if not treated properly and promptly. Herein, we report a case of cardiac tamponade after thoracoscopic subtotal esophagectomy and retrosternal gastric tube reconstitution for esophageal cancer that was successfully treated with surgical drainage.

Case presentation
An 86-year-old man with lower thoracic esophageal cancer underwent thoracoscopic subtotal esophagectomy and retrosternal gastric tube reconstitution. No intra-operative complications were observed. On the first postoperative day, tachycardia and hypotension were observed, and pericardial effusion was identified on computed tomography images. The patient was diagnosed with obstructive shock secondary to cardiac tamponade. As percutaneous puncture drainage was not possible due to the presence of a retrosternal gastric tube, pericardiotomy with a small left anterior thoracotomy was performed, and a large amount of hematogenous fluid was drained, which instantly improved circulation. On the second postoperative day, the patient showed decreased pulse pressure, and computed tomography revealed a residual and enlarged hematoma around the right ventricle. The patient underwent surgical drainage and another pericardiotomy with a small right anterior thoracotomy was performed to drain the hematoma. At this time, multiple injuries to the fatty tissue, epicardium, and myocardium with active bleeding were observed on the anterior surface of the right ventricle near the root of the pulmonary artery. In this patient, the ascending aorta ran further to the right and dorsal sides than usual, causing the anterior wall of the right ventricle near the root of the pulmonary artery to be closer to the back of the sternum. This abnormality may have contributed to injury during the creation of the retrosternal pathway, leading to cardiac tamponade.

Conclusions
Cardiac tamponade after esophagectomy can occur because of manipulation during creation of the retrosternal route, with an anomaly in the aortic position being present in this case. Gentle manipulation and selection of the reconstruction route according to the patient’s condition are necessary in cases with such anatomical abnormalities.
Dietary assessment of type 2 diabetic patients using healthful plant-based diet score in the Eastern Province of Saudi Arabia
Authors: Alali Rudaynah A. , Alateeq Suad A. , Almuhanna Afnan F. , Al Elq Abdulmohsen H. , Albaker Waleed I. , Habara Alawi , Alrubaish Fatima A. , Vatte Chittibabu , Loza Bao-Li , Al-Muhanna Fahad A. , Al-Ali Amein K. 
Published: February 2024

Abstract
Background
Diabetes mellitus is a chronic disease characterized by a wide range of metabolic problems. The current study sought to assess nutritional habits of Saudi patients with type 2 diabetes (T2D) and to propose recommendations to improve these patients’ dietary habits and delay possible disease complications.

Methods
Over a period of three years, (2017–2019) 577 patients with T2D attending the outpatient’s diabetic clinics at King Fahd Hospital of the University, Al Khobar, Saudi Arabia were invited to participate in this study. Data of dietary intake were collected by trained nurses using a pretested structured validated semi quantitative food frequency questionnaire. The dietary data were collected using 7-day dietary recall questionnaire. A modified score system that associates dietary habits with glycemic control and lipid profile was used.

Results
Overall, a high healthful plant-based diet score was associated with a significant (P = 0.018) reduction in triglycerides (TG) level (mean difference − 3.78%; 95% CI, -0.65% to -6.81%) and a statistically non-significant (P = 0.06) increase in high density lipoprotein (HDL) levels (mean difference 1.87%; 95% CI -0.06–3.84%) in T2D patients from the Eastern Province of Saudi Arabia. Additionally, in our patient group, the prevalence of coronary artery disease, stroke, peripheral artery disease, and chronic kidney disease in T2D patients was 11.3%, 6.2%, 3.3%, and 8.4%, respectively and were higher when compared to the prevalence in the general population.

Conclusion
The present study showed that adherence to a healthful plant-based diet, when compared to high glycemic index diet, is associated with a favorable outcome in glycemic control and lipid profile in T2D patients. Prior assessment of total diet quality may be beneficial when giving nutritional advice to T2D patients with the possibility of improving glycemic control and lipid profile.