bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between nephrotic syndrome and tuberculosis in ICU patients: A cross-sectional study of the MIMIC-IV database
Authors: Du Shenghua , Su Ning , Li Xinya , Li Junhong , Jiang Yingyi , Zeng Limeng , Yu Zhaoxian , Hu Jinxing 
Published: April 2024

Abstract
Background
This study investigated hospital mortality rates among patients with nephrotic syndrome (NS) and tuberculosis (TB) using data from the Medical Information Mart for Intensive Care IV version 2.2 (MIMIC-IV v2.2) database. The aim was to assess the impact of TB infection on in-hospital mortality risk in NS patients.
Methods
A total of 2167 NS patients were enrolled, among whom 1079 were co-infected with TB. Potential confounding factors included demographics, vital signs, laboratory values, acute physiology score, clinical treatments, and comorbidities. Univariate logistic regression was conduted to identify in-hospital mortality risk factors and multivariable multifactorial logistic regression was performed to explore the TB’s impact on in-hospital mortality. A restricted cubic spline regression analysis was carried out to investigate the linear relationship between hemoglobin, albumin, and in-hospital mortality. Stratified analyses were conducted for age, gender, sepsis, and acute kidney injury(AKI) stage to determine their effect on mortality of NS co-infected with TB.
Results
The prevalence of NS co-infected with TB was 49.8%, with a 14.6% in-hospital mortality rate, representing a 44% increased risk (P=0.005). The adjusted multivariable analysis revealed a mortality risk exceeding 20%. Among patients with sepsis, the incidence was 48.3% in those without TB and 46.7% in those co-infected with TB, with a 63% incidence of AKI within 7 days. Sepsis was associated with a 2.54-fold increase in mortality risk, and AKI stage 3 had an odds ratio (OR) of 9.03. Subgroup analyses suggested that both sepsis and AKI were independent risk factors for mortality. Hemoglobin and albumin exhibitedL-shaped linear relationships with in-hospital mortality, acting as protective factors below the inflection point. Only 1.8% received steroid treatments (NS 2.6%, NS and TB 0.9%), and 10.1% underwent continuous renal replacement therapy.
Conclusions
Our study results revealed significantly increased in-hospital mortality risk among NS patients with concurrent TB infection, alongside numerous complications. Sepsis and AKI independently increase mortality risk in NS patients co-infected with TB. These findings inform disease severity assessment and prognosis determination in adult NS patients with TB co-infection.
PmAm, a broad-spectrum powdery mildew resistance source located on Amblyopyrum muticum chromosome 6T is transferred to common wheat
Authors: Xu Wenjing , Ma Pengtao , He Huagang , Yang Zujun , Han Ran , Xu Xiaoyi , Liu Aifeng , Cao Xinyou , Li Haosheng , Liu Jianjun , Komatsuda Takao , Liu Cheng 
Published: April 2024

Abstract

Powdery mildew (caused by Blumeria graminis f. sp. tritici) limits grain production and reduces grain quality in wheat. Amblyopyrum muticum (2n=2x=14, TT genomes), a wild relative of wheat, carries agronomically valuable traits, including resistance to powdery mildew, that have not been transferred to wheat. Here, a powdery mildew resistant Chinese Spring-Amblyopyrum muticum amphiploid was backcrossed to a powdery mildew susceptible wheat cultivar and homozygous resistant derivatives with broad-spectrum resistance were selected. Fluorescence in situ hybridization analysis identified chromosome substitution and compensating Robertsonian translocation lines involving chromosome 6T from Amblyopyrum muticum.
Effect of Vaned and Vaneless Diffuser on the Performance of Turbo Blowers
Authors: DEMIRCIOGLU Pinar , BOGREKCI Ismail , SERT Berkay , ABBAKAR Mujtaba , Gogebakan Ahmet 
Published: April 2024

Abstract

The choice of diffuser type in centrifugal compressors and turbo blowers impacts efficiency. Vaned diffusers perform best at high flow rates but lose efficiency at lower flows due to their fixed design. Vaneless diffusers, without fixed blades, adapt better to varying flow rates and excel at part-load conditions. Therefore, vaned diffusers are ideal for applications with constant high flow rates, while vaneless diffusers offer efficiency advantages in variable flow rate applications. HAUS Centrifugal technology's XMP 122 Turbo blower will be employed in performance tests with both vaned and vaneless diffusers. The blower features an automatic variable geometry diffuser (VGD) system that optimizes flow efficiency. During testing, the blower operated within a speed range of 19,000 to 33,000 rpm. Analysis of the obtained data revealed a noticeable enhancement in volume flow rate.
Obstacle avoidance strategy and path planning of medical AGV based on the bionic characteristics of antelope migration
Authors: Hu Jing , Niu Junchao , Gao Xiang , Zhang Xinming 
Published: April 2024

Abstract
Aiming at the problem that Automated guided vehicle (AGV) faces dynamic and static obstacles in the process of transporting patients in medical environment and needs to avoid in real time, inspired by the behavior of antelopes during migration, this paper proposes a bionic obstacle avoidance strategy based on adaptive behavior of antelopes. The traditional artificial potential field and dynamic window algorithm are improved by using the bionic characteristics of antelope migration.By adding new potential field force points and improving the window size, the success rate and prediction range of AGV navigation are improved.Simulation experiments were carried out through the numerical simulation platform, and the verification results showed that:The bionic obstacle avoidance strategy proposed in this paper can avoid dynamic and static obstacles at the same time. In the example, the success rate of path planning is increased by 34%, the running time is reduced by 33%, and the average path length is reduced by 1%. The proposed method can realize the integration of “dynamic and static” avoidance in the process of transporting patients, and effectively save the time of transporting patients by AGV.It provides a theoretical basis for realizing obstacle avoidance and rapid loading of AGV in medical environment.
Evaluation of secondary metabolites, nutraceutical potential and amino acid profile of fresh dates (Phoenix dactylifera) wine
Authors: Choudhary Aditya , Kumar Aditya , Kandpal Rohan , Gupta Arun Kumar , Jha Avinash Kumar , Naik Bindu , Kumar Vijay , Rustagi Sarvesh , Chutia Hemanta , Khan Javed Masood 
Published: April 2024

Abstract
The present study comprehensively investigated the fermentation process of fresh dates juice to wine, analyzing various aspects including physicochemical properties, nutraceutical potential, amino acid composition, color properties, sensory evaluation, and microbial load. Over the fermentation period, TSS increased from an initial 3.2 to 5 oBrix, pH decreased from 7 to 3.9, and titratable acidity rose from 0.15% to 0.22%. The nutraceutical potential of the wine displayed dynamic transformations, with total phenolic content (TPC) decreasing from 23 to 9 mg GAE/mL, while total flavonoid content (TFC) increased significantly. Amino acid analysis revealed distinct concentrations, with wine exhibiting higher levels of essential amino acids due to fermentation. Color analysis showed a gradual darkening, a shift towards reddish hues, and a progression towards a more yellowish color during fermentation. Sensory evaluation favored wine over juice, scoring higher in appearance, flavor, texture, taste, mouthfeel, and overall acceptability. Microbial load increased from an initial 5–6 log CFU ml-1 to 8–9 log CFU ml-1 after 4 days, indicating the occurrence of alcoholic fermentation. Kinetics study was also performed for different quality parameters. This is the first study provides a comprehensive understanding of the multifaceted changes occurring during the fermentation process, offering valuable insights for winemakers and researchers.
Differential Learned Helplessness Phenotypes in Male and Female Rats: Exploring the Therapeutic Impact of Cannabidiol Treatment
Authors: Akirav Irit , Bright Uri 
Published: April 2024

Abstract

Evidence suggests a bidirectional relationship between depressive symptoms and neuroinflammation. We studied the effects of chronic treatment with cannabidiol (CBD) in male and female rats exposed to an unpredictable chronic mild stress (UCMS) model of depression. We analyzed gene expression related to neuroinflammation, cannabinoids, and estrogen receptors, as well as specific microRNAs (miRs) in the ventromedial prefrontal cortex (vmPFC), CA1, and ventral subiculum (VS). We found sex- and brain region-dependent effects of UCMS and CBD. UCMS exerted sex-specific effects on immobility, increasing it in males while decreasing it in females; CBD reversed this effect in both sexes. Regarding neuroinflammation, CBD restored Tumor Necrosis Factor α (TNF-α) gene upregulation in the CA1 and VS in males. In both sexes, UCMS led to nuclear factor kappa B subunit 1 (NF-κB1) gene upregulation in the VS, unaffected by CBD. In males, UCMS-induced CB1 gene downregulation in the VS was restored by CBD. UCMS resulted in CB1 gene downregulation in the vmPFC in both sexes, with no CBD effect. In males, CBD restored UCMS-induced downregulation of VS ERα and ERβ genes. Finally, UCMS downregulated miR-146a-5p in the VS in females and upregulated it in the CA1 in males without CBD restoring effects. Our findings highlight sex-specific differences in learned helplessness and CBD’s modulation of neuroinflammatory, cannabinoid, and estrogen gene expression following exposure to chronic stress. Specifically, in males, hippocampal neuroinflammatory and estrogenic mechanisms play pivotal roles in mediating CBD's antidepressant effects.
Exploring the Lived Experience of faculty implementing case-based learning: A Phenomenological Study
Authors: Delany Caroline , Illing Jan , McIlroy Marie , Daly Ronan , Bruen Catherine , Alamuddin Naji , Condron Clare , Crehan Martina , Doherty Sally , Meagher Frances , Offiah Gozie , O’Neill Sarah , Stuart Ellen , Torrens Christopher , Morgan Maria P. 
Published: April 2024

Abstract
Background
Case-based learning (CBL) is a useful pedagogical approach, for which learner experience has been well researched. The experience of faculty is less known. CBL was integrated into the first year of a new pre-licensure medical curriculum, so the faculty experience of transition from large group teaching to structured CBL was investigated.
Methodology:
Interpretative phenomenological analysis (IPA) was undertaken to explore the facilitator lived experience through reflective inquiry. Ten CBL facilitators were purposively selected from a diverse pool of faculty using maximum variation; faculty were involved in patient care, research, and education, and were a mix of ages, ethnicities and genders. Semi-structured interviews were conducted and analysed according to the IPA structure.
Results
Overall experiences were positive. Facilitators repeatedly expressed the enjoyment felt from closer student interaction. They reported that CBL afforded an authentic and active teaching approach. Other themes included: initial uncertainty regarding their role, anxiety around standardisation of the student experience and concerns regarding the level of content expertise required. However, confidence generally improved with experience facilitating.
Conclusion
These new insights expose a deeper understanding of perceptions of the role and will better inform faculty development initiatives and support going forward, as well as the iterative design of the CBL process itself.
Thiourea treatment broadens the lattice structure to enhance the electrochemical stability of lithium-rich manganese-based materials
Authors: Zhao Zhifeng , Feng Wangjun , Su Wenxiao , Niu Yueping , Hu Wenting , Zheng Xiaoping 
Published: April 2024

Abstract
The lithium-rich manganese-based material Li1.2Mn0.54Ni0.13Co0.13O2 is currently the most promising anode material due to its high capacity and low cost. However, the material still suffers from severe capacity degradation and low multiplicity performance. After thiourea treatment, the electrochemical performance of the material is improved. Through elemental and morphological characterization, the treated crystals show more dispersed particles and a small amount of Sulphur doped on the surface. Various electrochemical tests were performed on the cells and the 3wt% thiourea treated cells showed improved discharge specific capacity and cycling performance compared to the non-thiourea treated cells. Moreover, the polarity of the battery was reduced and the impedance decreased. The specific capacity of the first cycle was 274.2mAh/g at 0.1C. The specific capacity was 236mAh/g at 0.5C and the capacity retention rate was 72.46% after 100 cycles.
HGCN_MDA: Hierarchical Heterogeneous GraphConvolutional Neural Network for PredictingmiRNA-Disease Associations
Authors: Li Ying , Yang Xiao , Sun Ruihan , Zhang Jielin , Zhang Lu 
Published: April 2024

Abstract
miRNAs are non-coding, single-stranded RNA molecules approximately 22 nucleotides in length. They play pivotal roles in numerous biological regulatory processes and have close associations with a variety of diseases, including cancer, cardiovascular diseases, and neurodegenerative disorders. miRNAs have become new candidate molecular targets for disease diagnosis and treatment. Therefore, the swift and effective identification of associations between miRNAs and diseases holds significant clinical significance. Presently, the available methods for predicting miRNA-disease associations remain quite limited. Moreover, there is a scarcity of approaches that specifically address the varying importance of different nodes in miRNA and disease interactions, and then model these variations. Consequently, there is an urgent and challenging need to develop computational models for forecasting potential miRNA-disease associations. In this paper, we propose a hierarchical heterogeneous graph convolutional network named HGCN_MDA for the prediction of miRNA-disease associations. Our approach encompasses several key steps: First, we gather data on the associations between miRNAs and diseases, miRNAs and miRNAs, and diseases and diseases. Subsequently, we compute the importance scores of nodes in the graph, which serve as indicators for stratifying the hierarchical network. We then construct a multi-layer network to extract features based on their respective importance. Our approach combines global and local features, which are integrated by the attention mechanism. Finally, a fully connected layer is used to build a prediction model. Comprehensive experimental comparisons demonstrate that our proposed HGCN_MDA has better ability to predict positive samples and comprehensive performance.
SGLT2 Inhibitors in COVID-19: Umbrella Review, Meta-analysis, and Bayesian Sensitivity Assessment
Authors: Suresh Vinay , Shamim Muhammad Aaqib , Ghosh Victor , Dave Tirth , Jayan Malavika , Verma Amogh , Sanker Vivek , Roy Priyanka , Bardhan Mainak 
Published: April 2024

Abstract
Background: Several studies have reported a reduced risk of COVID-19-related mortality in patients taking antidiabetic medications. This is an umbrella review, meta-analysis, and Bayesian sensitivity assessment of SGLT2 inhibitors in COVID-19 patients with type 2 diabetes mellitus (T2DM).
Methods: A search was conducted in the MEDLINE (PubMed), EMBASE, Cochrane, and ClinicalTrials.gov databases on 5/12/2023. We performed an umbrella review of systematic reviews and meta-analyses on SGLT2i effects in T2DM patients with COVID-19 and critically appraised them using AMSTAR 2.0. Trials investigating SGLT2i use in COVID-19 patients post-hospitalisation and observational studies on prior SGLT2i use among COVID-19 patients were included in the meta-analysis, adhering to the PRISMA guidelines.
Results: SGLT2 inhibitors exhibited significantly lower odds of mortality (OR 0.67, 95% CI 0.53-0.84) and hospitalisation (OR 0.84, 0.75-0.94) in COVID-19 patients with T2DM. Bayesian sensitivity analyses corroborated most of the findings, with differences observed in hospitalisation and mortality outcomes. SGLT-2 inhibitors showed an OR of 1.20 (95% CI 0.64-2.27) for diabetic ketoacidosis. Publication bias was observed for hospitalisation but not for mortality. The GRADE assessment indicated a low to very low quality of evidence because of observational studies.
Conclusions: Prophylactic use of SGLT2 inhibitors reduces mortality and hospitalization among COVID-19 patients, particularly in diabetic patients. The utility of SGLTi after hospitalization is uncertain and warrants further investigation. Limited efficacy has been observed under critical conditions. Individualized assessment is crucial before integration into COVID-19 management.
Rider Re-Route Suggestions Using Demand Forecasting Based on Passenger's Routes and User Behaviour Analysis
Authors: Dharun.V.S  , S Bairavel , Suriyalakshmi.V.C  , Sricharan.A  , M Kanipriya 
Published: April 2024

Abstract
This project explores the optimization of ride-sharing in urban transportation through data analysis and internet networking. It aims to revolutionize commuting habits by connecting riders and passengers via an intelligent platform, suggesting alternative routes based on demand. By addressing the issue of lone commuters, the project aims to enhance urban mobility efficiency, reduce trip costs, and promote sustainability. Divided into components for rider and passenger registration, demand forecasts, matchmaking, and route optimization, the project showcases significant results. The suggested deviations offer comparable travel times, substantial cost savings, and increased customer satisfaction. This initiative aligns with environmental goals by reducing single-occupancy car use. Additionally, the project delves into analyzing user behavior within the ride-sharing platform, utilizing data analytics and vehicle telemetry. Leveraging K-Means clustering, it classifies behavior patterns to anticipate future actions and enhance user experiences while contributing to vehicle health management and safety. The proposed solution integrates feature engineering, behavior classification, and automation modules supported by robust database design and implemented using React JS, Python, and Node.js. The algorithm employs preprocessing, optimal K determination, and K-Means clustering for behavior analysis, leading to actionable insights and targeted interventions. Through simulation tools and real-time implementation, the project demonstrates its potential to optimize user engagement, enhance safety, and boost service efficiency, marking a data-driven shift in urban transportation paradigms.
Estimation of the Generalized Exponential Distribution Parameters Based on Picard’s Method
Authors: Maswadah Mohamed Sadek 
Published: April 2024

Abstract
In statistical inference, Bayes’ method is the most commonly applicable in reliability analysis, despite its subjectivity to prior information other than data. Therefore, the main objective of this work is to introduce an efficient numerical method, Picard’s method, as a tool for estimation in statistical inference and compatible with Bayes’ method. The proposed method has been applied to the generalized exponential distribution parameters and compared to Bayes’ method based on different priors via Monte Carlo simulation. The simulation results indicated that Picard’s method provides better estimates and outperforms Bayes’ method based on the generalized progressive hybrid censoring scheme. Finally, two real datasets have been analyzed for illustrations and comparison of the proposed methods.
Quem dança seus males espanta? Dança como prática promotora de saúde no SUS
Authors: Mariano Vinícius Gonçalves , Graup Susane 
Published: April 2024

Objetivos: analisar as percepções de mulheres sobre os efeitos da prática da dança na sua saúde e identificar as barreiras e facilitadores da participação em um projeto de uma ESF de um município da fronteira Oeste do Rio Grande do Sul, Brasil. Métodos: trata-se de um estudo de caráter qualitativo e delineou-se quanto aos seus objetivos como um estudo descritivo. A amostra foi composta por mulheres acima de 18 anos, integrantes de um projeto de dança de uma ESF, cujo os dados foram coletados por meio de uma entrevista semiestruturada. Resultados: a amostra foi composta por 11 mulheres, cuja a média de idade foi de 45 anos, sendo que 9 apresentaram alguma condição de saúde, com destaque para hipertensão (n=3) e diabetes (n=2). Em relação a percepção dos benefícios da prática da dança, todas as participantes relataram que percebem benefícios para a saúde, sendo que 54,4% percebem uma maior felicidade e melhora no ânimo e no humor. Ainda, 45,5% relatam maior disposição e também diminuição do estresse e da ansiedade. Em relação a influência da dança na saúde física e mental, 35,4% relatou possuir “maior disposição”, sendo quando questionada sobre os efeitos da dança sobre os sintomas da doença, 33,3% relataram melhoria na pressão arterial e nas atividades diárias. Considerações finais: os resultados nos mostram que além da saúde física, a saúde mental também é um importante benefício da prática da dança como atividade física e que a gratuidade do projeto e a proximidade do local facilitam a participação.
Profil Keamanan Ventilator Venindo Kode R-03 dengan Penilaian Oxygen Index (OI), Rasio PaO2/FiO2 dan Oxygen Saturation Index (OSI) Pada Pasien Paska Operasi di ICU RSUP Dr. Sardjito Yogyakarta
Authors: Yuniarti Aisyah Ratna 
Published: April 2024

Latar Belakang: Gagal napas adalah suatu kondisi akibat tidak adekuatnya sistem respirasi dalam pertukaran gas yang ditandai dengan kegagalan transport O2 ke dalam darah (gagal napas tipe hipoksemik) atau pengeluaran karbondioksida (CO2) dari dalam darah (gagal napas tipe hiperkapnia). Ventilator adalah alat yang digunakan untuk membantu dan menggantikan system respirasi pada pasien kritis yang mengalami kondisi gagal nafas. Ventilasi mekanik dapat menginduksi cedera paru. Pengunaan Oxygen Index (OI), rasio PaO2/FiO2, Oxygen Saturation Index (OSI) dapat menggambarjan aspek keparahan cedera paru.
Tujuan: Untuk mengetahui nilai OI, Rasio PaO2/FiO2, dan OSI sebagai penanda untuk menilai keamanan Ventilator Venindo R-03 pada pasien paska operasi yang dirawat di ICU RSUP Dr. Sardjito.
Metode: Penelitian ini menggunakan rancangan penelitian quasi eksperimental. Jumlah sampel yang diambil merupakan pasien paska operasi yang dirawat di ICU. Didapatkan jumlah sampel 38 pasien yang selanjutnya dapat dilakukan pengolahan data.
Hasil : Penelitian ini menunjukkan bahwa penggunaan ventilator Venindo kode R-03 dan ventilator Hamilton kode T1 tidak mempengaruhi status oksigenasi individu dari kondisi dasar sebelum pemasangan ventilator dibuktikan dengan rata-rata nilai OI dengan kedua jenis ventilator tidak berbeda bermakna dibandingkan kondisi dasar sebelum pemasangan ventilator (OI pre vs OI post 1 p = 0.527, OI pre vs OI post 2 p = 0.566, PF pre vs PF post 1 p = 0.199, PF pre vs PF post 2 p = 0.274, OSI pre vs OSI post 1 p = 0.600, OSI pre vs OSI post 2 p = 0.402). Rata-rata rasio PaO2/FiO2 setelah pemasangan ventilator Venindo kode R-03 apabila dibandingkan dengan setelah pemasangan ventilator Hamilton memiliki perbedaan yang bermakna secara statistik (PF post 1 vs PF post 2 p = 0.039) namun secara klinis tidak didapatkan perbedaan.
Kesimpulan : Pada penelitian ini didapatkan tidak ada perbedaan bermakna nilai OI, rasio PaO2/FiO2 dan OSI sebelum dan etelah penggunaan ventilator Venindo R-03 dan Ventilator HamiltonT-1 . Sedangkan, rata-rata rasio PaO2/FiO2 setelah pemasangan ventilator Venindo kode R-03 apabila dibandingkan dengan setelah pemasangan ventilator Hamilton memiliki perbedaan yang bermakna secara statistik namun secara klinis tidak didapatkan perbedaan bermakna.. Penelitian ini juga membuktikan korelasi kuat antara OI dan rasio PaO2/FiO2 sehingga OI dapat memiliki potensi untuk menjadi parameter dalam menilai kerusakan paru
Kata Kunci: Ventilator, Oksigen Indeks, Rasio PaO2/FiO2, oksigen saturasi indeks