bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Population-based Cohort to Investigate the Impact of Covid-19 on Socioeconomic Inequalities in Mental Health Care in Italy (Comeh): Cohort Profile
Authors: Petrelli Alessio , Aragona Massimiliano , Ciampichini Roberta , Napoli Anteo , Fano Valeria , Leone Sara , Pacifici Martina , Rosini Claudio , Silvestri Caterina , Zucchi Alberto , Ventura Martina 
Published: January 2024

Abstract
Background
The CoMeH cohort was established to assess the impact of the COVID-19 pandemic on the use of mental health services in Italy in the short and long term, with a particular focus on socioeconomic and/or citizenship inequalities.
Methods
All residents subjects for at least 2 years, aged ≥ 10 years, and assisted by an NHS general practitioner (GP) of the area of residence, in three vast catchment areas (N = 5,167,043). Primary outcomes of interest are the following indicators of mental health care services’ use: first access to any mental health care service, total number of accesses to mental health care services, the consumption of psychiatric drugs, the number of psychiatric or psychological outpatient visits, the number of residential or day care days spent in psychiatric facilities, the number of emergency and/or inpatient admissions to hospitals.
Results
Incident users were 3.2% of the population for Bergamo LHA, 3.5% for Rome2 LHA, and 4.4% for the Tuscany Region. The overall crude incidence rate of access to mental health care was 3.3% in the pre-COVID-19 period and 2.6% during the pandemic. Prescriptions for a mental disorder (57.2%) and ED admissions (25.1%) were the main reasons for enrollment. Compared to the general population, people with mental health conditions were older and more often female. The distribution of the incident users by deprivation index overlapped that of the population. Immigrants were younger, socioeconomically more deprived, and more often entered the study for an ED admission.
Discussion
We will focus on the impact of the pandemic through the evaluation of accesses to hospitalization, emergency, outpatient visits, residential and day care services, and drug prescriptions. We will also evaluate socioeconomic inequalities through the use of census-based deprivation index and migration status. Finally, we will also analyze the impact of COVID-19 infection and outcome on the study cohort.
Decomposition Analysis of Differences in Depressive Symptoms between Agricultural and Non-Agricultural Workers in China
Authors: Zhao Zhe , Lan Weijuan , Li Yangyi , Jiang Qinqin , Liu Yijun , Sun Jinhai , Liu Lijuan , Yuan Lei 
Published: January 2024

Abstract
Background: Chinese workers are confronted with severe mental health issues. This study aimed to investigate the reasons for the differences in depressive symptoms between agricultural and non-agricultural workers in China, and to measure the contribution of relevant influencing factors.
Methods: The data used in this study came from the 2018 China Family Panel Studies (CFPS) data. We used the brief 8-item Centre for Epidemiological Studies Depression Scale (CES-D-8) to measure participants’ depressive symptoms, and Fairlie decomposition model was used to analyze the influencing factors for the differences in depressive symptoms between agricultural and non-agricultural workers and their contribution.
Results: The percentage of employed people with depressive symptoms was 14.45%. The percentage of agricultural workers (18.71%) with depressive symptoms was higher than that of non-agricultural workers (11.33%).The results of Fairlie decomposition analysis showed that 74.59% of the differences in depressive symptoms between agricultural and non-agricultural workers was due to observed factors, which were education level (39.58%), self-rated health (25.72%), marital status (-23.80%), residence (12.19%), job satisfaction (8.31%), chronic disease (5.64%), gender (5.14%), life satisfaction (3.47%) , and body mass index (-1.26%) (all p<0.05).
Conclusions: The percentage of depressive symptoms was higher in agricultural than in non-agricultural workers, which was primarily associated with differences in socioeconomic status and health status factors between agricultural and non-agricultural workers.
Optimizing the placement of nodes in a proposed triangular plate element
Authors: Yaghoobi Majid , Sedaghatjo Mohsen , Karkon Mohammad 
Published: January 2024

Abstract
In this article, the optimization of element node positions using Adam's algorithm is employed to improve the finite element efficiency. While previous research has focused on the effect of changing the mesh on the finite element response, little attention has been given to the impact of node position changes without altering the mesh structure. The article presents a formulation of a triangular element with 15 degrees of freedom using a complete fourth-degree field for deformations. Through numerous numerical tests involving normal and skew geometries, different support conditions, and various loadings, the optimal positions of the nodes are determined. These tests are conducted on both coarse and fine meshes, with and without distortion. The results indicate that in the suggested element, particularly in coarse meshes and situations involving significant distortion, the outcome is greatly influenced by the positions of the nodes. By employing the proposed finite element formulation that incorporates Adam's optimization algorithm, it is possible to achieve accurate results in coarse meshes with distortion. This can be accomplished by using the proposed element without the optimization algorithm and with a uniform distribution of element nodes in fine regular meshes.
Real-time and On-site Aerodynamics using Stereoscopic PIV and Deep Optical Flow Learning
Authors: Elrefaie Mohamed , Hüttig Steffen , Gladkova Mariia , Gericke Timo , Cremers Daniel , Breitsamter Christian 
Published: January 2024

Abstract

We introduce Recurrent All-Pairs Field Transforms for Stereoscopic ParticleImage Velocimetry (RAFT-StereoPIV). Our approach leverages deep optical flowlearning to analyze time-resolved and double-frame particle images from on-sitemeasurements, particularly from the 'Ring of Fire,' as well as from wind tunnelmeasurements for real-time aerodynamic analysis. A multi-fidelity datasetcomprising both Reynolds-Averaged Navier-Stokes (RANS) and Direct NumericalSimulation (DNS) was used to train our model. RAFT-StereoPIV outperforms allPIV state-of-the-art deep learning models on benchmark datasets, with a 68% error reduction on the validation dataset, Problem Class 2, and a 47% errorreduction on the unseen test dataset, Problem Class 1, demonstrating itsrobustness and generalizability. In comparison to the most recent works in thefield of deep learning for PIV, where the main focus was the methodologydevelopment and the application was limited to either 2D flow cases or simpleexperimental data, we extend deep learning-based PIV for industrialapplications and 3D flow field estimation. As we apply the trained network tothree-dimensional highly turbulent PIV data, we are able to obtain flowestimates that maintain spatial resolution of the input image sequence. Incontrast, the traditional methods produce the flow field of~16 × lower resolution. We believe that this study brings the field of experimentalfluid dynamics one step closer to the long-term goal of having experimentalmeasurement systems that can be used for real-time flow field estimation.
Antibacterial activity of Hungarian varietal honeys changes over time against respiratory pathogens
Authors: Nagy-Radványi Lilla , Balázs Viktória L. , Kocsis Béla , Csikós Eszter , Ángyán Virág D. , Szabó Péter , Biró Viktória , Kocsis Marianna , Farkas Ágnes 
Published: January 2024

Abstract

Today, antibiotic therapies that previously worked well against certain bacteria due to their natural sensitivity, are becoming less effective. Honey has been proven to inhibit the biofilm formation of some respiratory bacteria, however few data are available on how the storage time affects the antibacterial effect. The activity of black locust, goldenrod, linden and sunflower honeys from three consecutive years was analyzed against Gram-negative (Haemophilus influenzae, H. parainfluenzae, Pseudomonas aeruginosa) and Gram-positive (Streptococcus pneumoniae) bacteria using in vitro microbiological methods. After determining the physicochemical parameters of honey, broth microdilution was applied to determine the minimum inhibitory concentration of each honey type against each bacterium, and crystal violet assay was used to test their antibiofilm effect. The possible mechanism of action was explored with membrane degradation test, while structural changes were illustrated with scanning electron microscopy. As the storage time increased, the color of honeys became darker, and their antibacterial activity decreased significantly. The most remarkable inhibitory effect was exerted by linden and sunflower honeys, and P. aeruginosa proved to be the most resistant bacterium. Based on our results, honey intended for medicinal purposes should be used as fresh as possible during a treatment.
Effectiveness and safety of primary prophylaxis of granulocyte colony-stimulating factor during dose-dense chemotherapy for urothelial cancer: Clinical Practice Guidelines for the Use of G-CSF 2022
Authors: Uchino Keita , Tamura Shingo , Kimura Shoji , Shigeta Keisuke , Kimura Takahiro , Ozaki Yukinori , Nishio Hiroshi , Tsuchihashi Kenji , Ichihara Eiki , Endo Makoto , Yano Shingo , Maruyama Dai , Yoshinami Tetsuhiro , Susumu Nobuyuki , Takekuma Munetaka , Motohashi Takashi , Ito Mamoru , Baba Eishi , Ochi Nobuaki , Kubo Toshio , Kamiyama Yutaro , Nakao Shinji , Tamura Shinobu , Nishimoto Hitomi , Kato Yasuhisa , Sato Atsushi , Takano Toshimi , Miura Yuji 
Published: January 2024

Abstract
Granulocyte colony-stimulating factor (G-CSF) decreases the incidence, duration, and severity of febrile neutropenia (FN); however, dose reduction or withdrawal is often preferred in the management of adverse events in the treatment of urothelial cancer. It is also important to maintain therapeutic intensity in order to control disease progression and thereby relieve symptoms, such as hematuria, infection, bleeding, and pain, as well as to prolong the survival. In this clinical question, we compared treatment with primary prophylactic administration of G-CSF to maintain therapeutic intensity with conventional standard therapy without G-CSF and examined the benefits and risks as major outcomes. A detailed literature search for relevant studies was performed using PubMed, Ichu-shi Web, and Cochrane Library. Data were extracted and evaluated independently by two reviewers. A qualitative analysis of the pooled data was performed, and the risk ratios with corresponding confidence intervals were calculated and summarized in a meta-analysis. Seven studies were included in the qualitative analysis, two of which were reviewed in the meta-analysis of dose-dense methotrexate, vinblastine, doxorubicin, and cisplatin (MVAC) therapy, and one randomized controlled study showed a reduction in the incidence of FN. Primary prophylactic administration of G-CSF may be beneficial, as shown in a randomized controlled study of dose-dense MVAC therapy. However, there are no studies on other regimens, and we made a "weak recommendation to perform" with an annotation of the relevant regimen (dose-dense MVAC).
Divergence and genetic parameters between Melia dubia genotypes based on morpho-anatomical stomatal descriptors
Authors: Samji Aghila , Eashwarlal Komal , Warrier Kannan CS , Kumar Santhosh , Tamilmaran R , Shanthi Krishnan , Warrier Rekha R 
Published: January 2024

Abstract

Stomata, a regulatory system in leaves, aids in identifying plant species to complete taxonomic data. This study investigated the stomatal descriptors of Melia dubia, a potential plywood species to distinguish within variation in the species to explain the diversity and diagnostic significance of these attributes. Twenty clones were selected to investigate nine stomatal characters related to stomatal type, length, width, density, and distribution. The results showed the presence of hypostomatic leaves with anomocytic stomata that falls under the category small. Stomatal clustering, an abnormal stomatal patterning formed by two or more stomata in the epidermis was also observed. The examined data were subjected to a numerical analysis using SPSS and R packages. A significant variation in observed parameters were obtained. Correlation analysis shows that stomatal length, width, and size were significantly correlated to pore length, pore width, pore perimeter and stomatal pore depth. Further hierarchical cluster analysis using average linkage between groups method clustered all the 20 clones into 5 clusters apportioning the variation among clones. Divergence analysis using Mahanalobis distance-based clustering detailed the dissimilarities and differences between the clones. The study highlights the diagnostic potential of stomatal features in identifying variations within the species. This report is the first detailed description of stomatal features in the genus Melia, implying its significant contribution to the knowledge in this area. This study underscores the potential of stomatal features as a diagnostic tool for plant species identification and taxonomic studies.
ScRNA-seq and bulk RNA-seq reveal the characteristics of NK cell and establish a risk signature in bladder cancer
Authors: Xu Tao , Tao Jiayi , Zhang Jinsong , Liu Huiyong , Zhan Zhibin , Lin Mei , Chen Min , Liu Qi , wang bin 
Published: January 2024

Abstract
Bladder cancer poses a significant risk of recurrence and progression to intramuscular disease, also known as non-muscle invasive bladder cancer (NMIBC). Immunotherapy has emerged as a pioneering strategy for managing non-muscle invasive bladder cancer (NMIBC). However, there exist variations in the resistance patterns of immune checkpoint inhibitors (ICIs) and the corresponding patient response, thereby necessitating further investigation into novel therapeutic interventions.Several research studies have indicated that the focused metabolism of sulphur dioxide could potentially serve as a substitute for existing approaches to treating bladder cancer. The research was centred on the examination of genetic variations of genes responsible for the metabolism of sulphur dioxide (DRGs) that are linked to bladder cancer. The research revealed that out of the 412 samples analysed, 136 exhibited mutations in DRGs, indicating a mutation rate of 33.01%.The research additionally discovered that duplications or deletions of genomic segments, known as copy number variants (CNV), are prevalent in bladder carcinoma, particularly in relation to dorsal root ganglia (DRGs).The investigation additionally examined the impact of genetic variations on messenger RNA (mRNA) expression. The results indicated a positive correlation between the level of expression of specific genes in bladder cancer tissue and the variation in replicating numbers. The investigation also recognised two types of sulphur dioxide metabolism that are dispersed, and are linked with distinct gene expression patterns and characteristics of immune cell infiltration. The investigation enhanced the examination of genes with differential expression and revealed that the bladder cancer tumour microenvironment was linked to the metabolism of sulphur dioxide, which resulted in varying prognostic outcomes. The investigation additionally formulated a prognostic instrument utilising clinical parameters and risk assessments. The potential of the predictive signature to correlate with the metabolism of sulphur dioxide has implications for the characterization of a patient's immune landscape and the prediction of their prognosis. However, additional research is required to address various concerns, such as the validation of models' accuracy and efficacy, as well as the undertaking of more prospective and fundamental investigations.
Superconductivity of Thulium Substituted Clathrate Hexahydrides at Moderate Pressure
Authors: Huang Hongyu , Deng Chao , Song Hao , Du Mingyang , Duan Defang , Liu Yanhui , Cui Tian 
Published: January 2024

Abstract

Due to the BCS theory, hydrogen, the lightest element, would be the prospect of room-temperature superconductor after metallization, but because of the difficulty of the hydrogen metallization, the theory about hydrogen pre-compression was proposed that the hydrogen-rich compounds could be a great option for the high Tc superconductors. The superior properties of TmH6, YbH6 and LuH6 indicated the magnificent potential of heavy rare earth elements for low-pressure stability. Here, we designed XTmH12 (X = Y, Yb, Lu, and La) to obtain higher Tc while maintaining low pressure stability. Most prominently, YbTmH12 can stable at a pressure of 60 GPa. Compared with binary TmH6 hydride, its Tc was increased to 48 K. The results provide an effective method for the rational design of moderate pressure stabilized hydride superconductors.
An accurate temperature field reconstruction method based on multi-physics decoupling with schlieren imaging
Authors: Wu Jun , Zhang Zhen , Zhu Yuheng , Tang Yuanhong , Guo Runxia , Chen Jiusheng 
Published: January 2024

Abstract
The tail jet field’s temperature distribution of aircraft engines is of great significance to reflect the combustion efficiency and the formation mechanism of pollutants. The traditional temperature sensor measurement method has a series of shortcomings such as single point measurement, destruction of the flow field and poor spatial and temporal resolution, so it is not suitable for the application scenarios of the tail jet temperature field measurement. Schlieren method, as a visual measurement technology of flow field, is an effective method for real-time measurement of flow field parameters, with the characteristics of large measuring range, fast response speed and simple testing equipment. In order to improve the accuracy of the traditional schlieren method, this paper presents a temperature field distribution reconstruction method by decoupling flow velocity and density field, considering the influence of flow field velocity, density and other factors on temperature field. Firstly, the light deflection angle of the schlieren image is obtained by the change of brightness and darkness in the picture, and then the density distribution of the flow field is obtained indirectly. Then, through the schlieren images of continuous frames, the flow velocity distribution is obtained by using the optical flow velocity measurement algorithm. After that, the obtained density and velocity information can be used to calculate the pressure distribution of the flow field. Finally, the temperature distribution of the flow field can be obtained by using the obtained flow velocity, density and pressure information through the numerical calculation of the energy equation. The experimental results show that the maximum deviation of this method is about 5% compared with that of thermocouple measurement. Therefore, the method proposed in this paper can accurately reconstruct the temperature distribution of high temperature and high speed flow field, and effectively expand the application range of schlieren method in the quantitative measurement of flow field.
Study on the effect of H 2 S on the adsorption of CH 4 , N 2 and CO 2 by anthracite
Authors: Gao Dameng , Liang Jiawei , Hong Lin , Zheng Dan 
Published: January 2024

Abstract
In order to study the effect of H2S on gas adsorption in coal seam, the adsorption characteristics of single-component CO2, CH4, N2 and H2S and multi-component H2S mixed with CO2, CH4 and N2 by anthracite were simulated by using the Grand Canonical Ensemble Monte Carlo (GCMC) method. The results show that the adsorption capacity of CO2, CH4, N2 and H2S in anthracite decreases with the increasing of temperature and increases with the increasing of pressure. The adsorption isotherms of CO2, CH4, N2, H2S and different ratios of H2S/CH4, H2S/N2, H2S/CO2 were consistent with the Langmuir equation. The adsorption capacity of H2S and CO2 is significantly higher than that of N2 and CH4. There is competitive adsorption among H2S, CO2, CH4 and N2, and the adsorption capacity of H2S is better than that of CO2, CH4 and N2.
Machine learning as a control strategy for smart upper limb orthosis: a scoping review
Authors: Holanda Ledycnarf J. , Fernandes Ana Paula M. , Netto Severino P. Nunes , Amorim Júlia A. , Matias Aryel M. , Nagem Danilo A. P. , Valentim Ricardo A. M. , Morya Edgard , Lindquist Ana Raquel R. 
Published: January 2024

Abstract

Upper limb (UL) orthoses have long been used in rehabilitation to assist with movement and improve functional outcomes. However, current orthoses often lack the ability to provide individualized and adaptive assistance to each user. Machine learning (ML)-based orthoses may address these limitations by classifying movement patterns using biomedical signals. This review aimed to explore ML-based UL orthoses by describing the features, algorithms, and benefits from the data collected in articles and patents. We conducted a scoping review using multiple databases (PubMed, Web of Science, SciELO, Koreamed, AMED, CENTRAL, PEDro, IEEE Xplore, Scopus, and Arxiv), and patents websites (Patentscope, Patentlens, Google Patents Kripis, and J-platpat), and reference lists were reviewed to identify additional studies. Following the screening, the authors conducted data extraction (algorithm used, physical description of the orthosis, control system characteristics, and usability test performed); and the risk of bias (RoB) assessment, through prediction model study risk of bias assessment tool (PROBAST). Our review included 16 articles and 4 patents that met our inclusion criteria. Orthoses controlled by ML tools presented different features in the distinct aspects considered in this review. Regression models and surface electromyography signals were the most common approach in articles and patents. Unclear and high RoB data were identified in studies assessed through PROBAST. Our findings suggest ML-controlled orthoses provide benefits to UL movement. Nevertheless, larger and methodologically sounder studies should be conducted to assess the benefits of these devices.