bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation
Authors: Huang Jian , Chen Huaqiao , Deng Jiewen , Liu Xiaozhu , Shu Tingting , Yin Chengliang , Duan Minjie , Fu Li , Wang Kai , Zeng Song 
Published: August 2023

BackgroundTimely and accurate outcome prediction plays a critical role in guiding clinical decisions for hypertensive ischemic or hemorrhagic stroke patients admitted to the ICU. However, interpreting and translating the predictive models into clinical applications are as important as the prediction itself. This study aimed to develop an interpretable machine learning (IML) model that accurately predicts 28-day all-cause mortality in hypertensive ischemic or hemorrhagic stroke patients.MethodsA total of 4,274 hypertensive ischemic or hemorrhagic stroke patients admitted to the ICU in the USA from multicenter cohorts were included in this study to develop and validate the IML model. Five machine learning (ML) models were developed, including artificial neural network (ANN), gradient boosting machine (GBM), eXtreme Gradient Boosting (XGBoost), logistic regression (LR), and support vector machine (SVM), to predict mortality using the MIMIC-IV and eICU-CRD database in the USA. Feature selection was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm. Model performance was evaluated based on the area under the curve (AUC), accuracy, positive predictive value (PPV), and negative predictive value (NPV). The ML model with the best predictive performance was selected for interpretability analysis. Finally, the SHapley Additive exPlanations (SHAP) method was employed to evaluate the risk of all-cause in-hospital mortality among hypertensive ischemic or hemorrhagic stroke patients admitted to the ICU.ResultsThe XGBoost model demonstrated the best predictive performance, with the AUC values of 0.822, 0.739, and 0.700 in the training, test, and external cohorts, respectively. The analysis of feature importance revealed that age, ethnicity, white blood cell (WBC), hyperlipidemia, mean corpuscular volume (MCV), glucose, pulse oximeter oxygen saturation (SpO2), serum calcium, red blood cell distribution width (RDW), blood urea nitrogen (BUN), and bicarbonate were the 11 most important features. The SHAP plots were employed to interpret the XGBoost model.ConclusionsThe XGBoost model accurately predicted 28-day all-cause in-hospital mortality among hypertensive ischemic or hemorrhagic stroke patients admitted to the ICU. The SHAP method can provide explicit explanations of personalized risk prediction, which can aid physicians in understanding the model.
A deep learning framework for identifying Alzheimer's disease using fMRI-based brain network
Authors: Wang Ruofan , He Qiguang , Han Chunxiao , Wang Haodong , Shi Lianshuan , Che Yanqiu 
Published: August 2023

BackgroundThe convolutional neural network (CNN) is a mainstream deep learning (DL) algorithm, and it has gained great fame in solving problems from clinical examination and diagnosis, such as Alzheimer's disease (AD). AD is a degenerative disease difficult to clinical diagnosis due to its unclear underlying pathological mechanism. Previous studies have primarily focused on investigating structural abnormalities in the brain's functional networks related to the AD or proposing different deep learning approaches for AD classification.ObjectiveThe aim of this study is to leverage the advantages of combining brain topological features extracted from functional network exploration and deep features extracted by the CNN. We establish a novel fMRI-based classification framework that utilizes Resting-state functional magnetic resonance imaging (rs-fMRI) with the phase synchronization index (PSI) and 2D-CNN to detect abnormal brain functional connectivity in AD.MethodsFirst, PSI was applied to construct the brain network by region of interest (ROI) signals obtained from data preprocessing stage, and eight topological features were extracted. Subsequently, the 2D-CNN was applied to the PSI matrix to explore the local and global patterns of the network connectivity by extracting eight deep features from the 2D-CNN convolutional layer.ResultsFinally, classification analysis was carried out on the combined PSI and 2D-CNN methods to recognize AD by using support vector machine (SVM) with 5-fold cross-validation strategy. It was found that the classification accuracy of combined method achieved 98.869%.ConclusionThese findings show that our framework can adaptively combine the best brain network features to explore network synchronization, functional connections, and characterize brain functional abnormalities, which could effectively detect AD anomalies by the extracted features that may provide new insights into exploring the underlying pathogenesis of AD.
Severe gastrointestinal involvement in pediatric IgA vasculitis: a retrospective single-center cohort study in China
Authors: Li Yifan , Zhang Xiaomei , Liu Haimei , Li Guomin , Guan Wanzhen , Zhang Tao , Zeng Qiaoqian , Gong Yinv , Xu Hong , Sun Li 
Published: August 2023

ObjectivesThe study aimed to describe the characteristics of gastrointestinal (GI) involvement in a cohort of hospitalized children with IgA vasculitis (IgAV) in China.MethodWe reviewed the records of hospitalized IgAV patients from January 2014 to December 2020 at one tertiary medical center. The patients were divided into the severe GI group and the non-severe GI group according to the presence of massive GI bleeding and complications. The clinical manifestations, laboratory factors, and treatment were analyzed between the two groups.ResultsA total of 1,179 patients were hospitalized due to IgAV. GI involvement was noted in 50% (589) of the patients, of whom 288 (48.9%) had severe GI involvement. GI complications were observed in 34 patients with IgAV with GI involvement. Rare onset age (&lt;3 years or within 13–17 years), purpura above the waist, vomiting, high neutrophil-to-lymphocyte ratio, and decreased serum albumin were factors associated with severe GI involvement. Frequencies of renal involvement and biopsy-proven nephritis were higher in the severe GI group. The most commonly used medications were corticosteroids (100.0%) in the severe GI group. The maximum corticosteroid dose was higher (2.9 vs. 2.0 mg/kg), and more second-line therapies were needed (30.9% vs. 16.94%) in the severe GI group.ConclusionsSevere GI involvement in children is common in our center. Rare onset age, purpura above the waist, vomiting, high neutrophil-to-lymphocyte ratio, and decreased serum albumin are associated with severe GI involvement. Patients with severe GI involvement need higher doses of corticosteroids and second-line therapy.
Molecular epidemiology and phylogenetic analyses of human adenovirus in pediatric patients with acute respiratory infections from Hangzhou during COVID-19 pandemic
Authors: Huang Shuangshuang , Wang Hao , Li Lin , Xiang Wenqing , Song Zhijian , Li Wei 
Published: August 2023

BackgroundAcute Respiratory Infections (ARIs) are a major cause of morbidity and mortality worldwide. Human Adenovirus (HAdV), responsible for 5%–10% of children's ARIs, is one of the most prevalent pathogens. Our study aimed to analyze the epidemiology and phylogenesis of HAdV in pediatric patients with ARIs in Hangzhou during the COVID-19 pandemic.MethodBetween November 2020 and March 2021, we collected 1,442 nasopharyngeal swabs from children with ARIs at Children's Hospital, Zhejiang University School of Medicine. Epidemiological statistics, phylogenetic and amino acid (AA) mutation analysis were conducted.ResultsOur findings revealed that 386 (26.77%) samples tested positive for HAdV, with the highest rate in children aged 6–18 years and the lowest in children aged 0–1 year, indicating a different age preference of HAdV compared with pre-pandemic period. Outpatients had a significantly higher positive rate than inpatients. Moreover, patients with HAdV-coinfection exhibited more severe clinical symptoms than those with HAdV-single infection. Our phylogenetic analysis demonstrated that species HAdV-C (type 1, 2, 6) were the predominant circulating strains in Hangzhou during the COVID-19 pandemic. Further AA mutation analysis identified seventeen mutations of particular concern for biological characterization.ConclusionIn conclusion, our study provides valuable epidemiological and molecular data that will aid in epidemiological surveillance, antiviral therapies and the development of specific vaccine types, leading to improve public health.
The association of adverse reactions and depression in cervical cancer patients treated with radiotherapy and/or chemotherapy: moderated mediation models
Authors: Ding Xiaoping , Zhang Yingying , Wang Jiaqing , Huang Ai , Liu Yilan , Han Yanhong , Hu Deying 
Published: August 2023

ObjectiveSeveral studies reported that adverse reactions to treatment, neuroticism, marital relations, and quality of life may impact the development of depression in cervical cancer patients treated with radiotherapy and/or chemotherapy, but the associations between them remained unclear. This study investigated the associations between these factors using moderated mediation models.MethodsData were extracted from a survey involving cervical cancer patients treated with radiotherapy and/or chemotherapy at five tertiary hospitals in Hubei Province, China, from June to December 2022. The SPSS-PROCESS program was used to develop a moderated mediation model to study the roles of neuroticism, quality of life, and marital relations in the association between adverse reactions and depression in the study population.ResultsA total of 802 cervical cancer patients treated with radiotherapy and/or chemotherapy (54.84 ± 9.68 years) were recruited. The prevalence of depression among these patients was 72.72%, with four symptom clusters of dizziness-ringing in the ears, digestive system-related symptoms, skin dryness and itching, and urinary frequency-urgency-leakage. Adverse reactions directly and positively affected the occurrence of depression, neuroticism mediated the association between adverse reactions and depression, while this association varied according to the quality of life and marital relations.ConclusionOur findings suggest that depression is common among cervical cancer patients receiving radiotherapy and/or chemotherapy. Intervention targets for depression in cervical cancer patients should be precisely selected and targeted according to the quality of life and marital relations differences in patients, taking into account the cost of the intervention and the benefit to the patient.
A meta-analysis of the association between mindfulness and motivation
Authors: Li Li-ying , Meng Xue , Hu Wen-ting , Geng Jia-sen , Cheng Tian-hua , Luo Jia-cheng , Hu Ming-yu , Li Hai-yue , Wang Yi , Wang Yan-yu 
Published: August 2023

IntroductionMindfulness reflects attention to the present moment in a non-judgmental way and has been linked to individual autonomy and motivation, but conclusions are inconsistent. The purpose of this review was to summarize previous studies to explore the relationship between mindfulness and motivation and its intervention effects.MethodsLiterature searches were conducted in five electronic databases. Both correlational studies assessing the association between motivation and mindfulness and experimental studies to verify the effect of intervention were included.ResultsSix papers with seven intervention studies and twenty-three papers with twenty-seven correlational studies met the inclusion criteria. Meta-analysis showed that mindfulness was positively correlated with intrinsic motivation (r = 0.28, p &lt; 0.0001) and total motivation (r = 0.37, p &lt; 0.0001) but had no significant correlation with extrinsic motivation (r = 0.01, p = 0.93) or amotivation (r = −0.17, p = 0.14). Effect-size estimates suggested that mindfulness intervention was beneficial to motivation promotion, but the effect was at a low level (g = 0.12).ConclusionWe found consistent support for mindfulness practice relating to motivation promotion, especially on intrinsic motivation development. However, there was still a portion of heterogeneity that could not be explained and needed to be identified in future studies.
Risk of secondhand smoke exposure and severity of COVID-19 infection: multicenter case–control study
Authors: Kishore Surekha , Shah Vandana , Bera Om Prakash , Venkatesh U. , Kakkar Rakesh , Aggarwal Pradeep , Bhardwaj Pankaj , Singh C. M. , Maliye Chetna , Garg Suneela , Menon Geetha R. , Misra Puneet , Kishore Verma Shival ,   The COVID SHS Study Group
Published: August 2023

IntroductionExposure to secondhand smoke (SHS) is an established causal risk factor for cardiovascular disease (CVD) and chronic lung disease. Numerous studies have evaluated the role of tobacco in COVID-19 infection, severity, and mortality but missed the opportunity to assess the role of SHS. Therefore, this study was conducted to determine whether SHS is an independent risk factor for COVID-19 infection, severity, mortality, and other co-morbidities.MethodologyMulticentric case–control study was conducted across six states in India. Severe COVID-19 patients were chosen as our study cases, and mild and moderate COVID-19 as control were evaluated for exposure to SHS. The sample size was calculated using Epi-info version 7. A neighborhood-matching technique was utilized to address ecological variability and enhance comparability between cases and controls, considering age and sex as additional matching criteria. The binary logistic regression model was used to measure the association, and the results were presented using an adjusted odds ratio. The data were analyzed using SPSS version 24 (SPSS Inc., Chicago, IL, USA).ResultsA total of 672 cases of severe COVID-19 and 681 controls of mild and moderate COVID-19 were recruited in this study. The adjusted odds ratio (AOR) for SHS exposure at home was 3.03 (CI 95%: 2.29–4.02) compared to mild/moderate COVID-19, while SHS exposure at the workplace had odds of 2.19 (CI 95%: 1.43–3.35). Other factors significantly related to the severity of COVID-19 were a history of COVID-19 vaccination before illness, body mass index (BMI), and attached kitchen at home.DiscussionThe results of this study suggest that cumulative exposure to secondhand cigarette smoke is an independent risk factor for severe COVID-19 illness. More studies with the use of biomarkers and quantification of SHS exposure in the future are needed.
Analysis of the spatial-temporal distribution characteristics of hepatitis E in Jiangsu province from 2005 to 2020
Authors: Shi Yao , Shen Wenqi , Liu Wendong , Zhang Xuefeng , Shang Qingxiang , Cheng Xiaoqing , Bao Changjun 
Published: August 2023

ObjectiveThis study attempts to analyze the spatial clustering and spatial-temporal distribution characteristics of hepatitis E (HE) at the county (city and district) level in Jiangsu province to provide a scientific basis for the prevention and control of HE.MethodThe information on HE cases reported in the Chinese Center for Disease Control and Prevention Information System from 2005 to 2020 was collected for spatial autocorrelation analysis and spatial-temporal clustering analysis.ResultFrom 2005 to 2020, 48,456 HE cases were reported in Jiangsu province, with an average annual incidence rate of 3.87/100,000. Male cases outnumbered female cases (2.46:1), and the incidence was highest in the 30–70 years of age group (80.50%). Farmers accounted for more than half of all cases (59.86%), and in terms of the average annual incidence, the top three cities were all in Zhenjiang city. Spatial autocorrelation analysis showed that Global Moran's I of HE incidence varied from 0.232 to 0.513 for the years. From 2005 to 2020, 31 counties (cities and districts) had high and statistically significant HE incidence, and two clustering areas were detected by spatial-temporal scanning.ConclusionHE incidence in Jiangsu province from 2005 to 2020 was stable, with age and gender differences, regional clustering, and spatial-temporal clustering. Further investigation of HE clustering areas is necessary to formulate corresponding targeted prevention and control measures.
Long-term outcomes of COVID-19 intensive care unit survivors and their family members: a one year follow-up prospective study
Authors: Laurent Raphael , Correia Patricia , Lachand Raphael , Diconne Eric , Ezingeard Eric , Bruna Franklin , Guenier Pierre-Alban , Page Dominique , Périnel-Ragey Sophie , Thiéry Guillaume 
Published: August 2023

PurposeTo describe the long-term physical, functional and mental status of COVID-19 intensive care unit (ICU) patients and their family members 1 year after ICU discharge.MethodsWe performed a prospective observational cohort study among patients admitted to the ICU for COVID-19-associated respiratory failure and their family members. Patients attended a one-year follow-up consultation with family members. Physical, functional and respiratory outcomes were collected. In addition, participants completed the Hospital Anxiety and Depression Scale and the Revised Impact of Event Scale. Qualitative components were collected during a 2-h face-to-face interview.ResultsFifty-four patients and 42 family members were included. Thirty-four (63%) patients reported chronic fatigue and 37 (68.5%) dyspnea. Computed tomography scans were abnormal in 34 patients (72.3%). Anxiety symptoms were present in 23 (48%) patients and 26 (66%) family members, depression in 11 (23%) and 13 (33%), and post-traumatic stress disorder in 12 (25%) and 23 (55%), respectively. Visit limitation was reported as the most painful experience for family members. Numerous patients recalled nightmares that contributed to the anxiety. Long-term reconstruction was difficult for both patients and family members.ConclusionThe vast majority of patients and their relatives reported long-term consequences on various physical and mental components, leading to a profound impact on their well-being.
Sur la convergence d'une classe de méthodes itératives de J.F. Traub
Authors: Păvăloiu I. 
Published: August 2023

Let \(X\) be a Banach space, \(Y\) a normed space and \(P:X\rightarrow Y\) a nonlinear operator. We study the convergence of the following method for solving the equation \(P\left( x\right) =0\) \[ x_{n+1}=Q\left( x_{n}\right) -\left[ P^{\prime}\left( x_{n}\right) \right] ^{-1}P\left( Q(x_n)\right),\ n=0,1,..., \ x_{0}\in X \] where \(Q\) is a nonlinear operator associated to the nonlinear equation \(P\left( x\right) =0\). We show that if the successive approximations of \(Q\) converge with order \(k\geq2\), there the above sequence converge to the solution with order \(k+1\).
Analisis Pengaruh Non Perfoming Loan (NPL) Dan Debt To Equity Ratio (DER) Terhadap Return On Asset (ROA) Pada PT. Bank KB Bukopin, Tbk .
Authors: Anggriani Ririn , Muniarty Puji 
Published: August 2023

Penelitian ini bertujuan untuk mengetahui menganalisis pengaruh Non Perfoming Loan (NPL) dan Debt To Equity Ratio (DER) terhadap Return On Asset (ROA) pada PT. Bank KB Bukopin, Tbk. Jenis penelitian ini adalah asosiatif dengan jenis data kuantitatif dan bersumber dari data sekunder. Instrumen penelitian yang digunakan yaitu daftar tabel yang berisi data total kredit yang diberikan, total kredit bermasalah, total hutang, total ekuitas, laba bersih dan total aset. Populasi dalam penelitian ini adalah seluruh laporan keuangan PT. Bank KB Bukopin, Tbk sejak terdaftar di BEI dari tahun 2006-2021 yaitu selama 15 tahun. Sampel dalam penelitian ini adalah laporan keuangan PT. Bank KB Bukopin, Tbk selama 9 tahun yaitu dari tahun 2013-2021 dengan teknik penentuan sampel menggunakan purposive sampling. Teknik pengumpulan data menggunakan dokumentasi dan studi pustaka. Teknik analisis data mengunakan analisa perkomponen Non Perfoming Loan (NPL) dan Debt to Equity Ratio (DER) dan Return On Asset (ROA) dan analisis statistik yang terdiri dari uji asumsi klasik, analisis regresi linear berganda, uji t dan uji f. Hasil penelitian menunjukan bahwa Non Perfoming Loan (NPL) dan Debt to Equity Ratio (DER) berpengaruh signfikan secara simultan terhadap Return On Asset (ROA) pada PT. Bank KB Bukopin, Tbk.
Optimalisasi Nilai Perusahan: Pengaruh Inflasi Terhadap Harga Saham Perusahaan Dengan Good Corporate Governance Sebagai Variabel Pemoderasi
Authors: Saputra Muhammad Haris , Firmasari Puja , Fadillah Yosi , Suratno Eddy , Kartika Yulia Dwi , Lie Kanaya Puspita 
Published: August 2023

Pengaruh inflasi terhadap harga saham perusahaan telah menjadi perdebatan yang kompleks di kalangan peneliti dan praktisi keuangan sehingga penelitian ini bertujuan untuk menganalisis pengaruh inflasi terhadap harga saham dan melihat peran Tata Kelola Perusahaan yang Baik (Good Corporate Governance) sebagai variabel moderasi pada Perusahaan Tekonologi selama Pandemi Covid-19. Metode penelitian ini menggunakan data historis berupa data inflasi, laporan keuangan dan harga saham perusahaan Teknologi selama Pandemi Covid 19. Metode analisis data yang digunakan adalah regresi linera dengan bantuan SPSS 25 untuk menguji hubungan antara inflasi dan harga saham perusahaan dan peran moderasi GCG terhadap Harga Saham, Hasil penelitian ini menemukan bahwa selama pandemi Inflasi tidak memiliki pengaruh siginifikan terhadap harga saham, GCG memiliki pengaruh signifikan terhadap harga saham sedangkan variable komite audit, kepemilikian manajerial dan dewan komisaris tidak signifikan dalam memoderasi inflasi terhadap harga saham.
РОЗВИТОК КАЛІГРАФІЇ В ОСВІТНІЙ ПРАКТИЦІ ЗАРУБІЖЖЯ
Authors: Шпак Ольга 
Published: August 2023

У статті проаналізовано закордонний історико-педагогічний досвід розвитку каліграфії в освітній практиці шрифтового мистецтва та графічного дизайну, що є одним із напрямів дизайн-освіти та важливим засобом національної ідентифікації народу, країни. З’ясовано, що у зарубіжній педагогічній теорії й освітній практиці науковці, педагоги обґрунтовують міждисциплінарні, інтегративні засади розвитку дизайну, акцентуючи увагу на комунікативній сутності, історичній обумовленості, національній специфіці графічного дизайну, каліграфії, шрифтотворення. Виявлено, що цінний досвід використання каліграфії, графіки в освітній практиці, що уможливлює означення націєзберігаючих функцій каліграфії, шрифтового дизайну у сучасному інформаційному просторі, зокрема: використання різних технік каліграфії – від далекосхідної каліграфії до аборигенної графіки та західної технології друку та гравюри – у сучасній дизайн-освіті; застосування моделі віртуального пензля, інших інтерактивних засобів навчання в сучасному мистецтві шрифтотворення; доцільність вивчення дизайну, опанування технологіями графічного дизайну у старшій школі за такими темами, як: комерційне мистецтво, дизайн календаря, дизайн плаката, каліграфію, дизайн вивісок, ілюстрацію, архітектурний дизайн, декоративне мистецтво, промисловий дизайн, дизайн упаковки, карикатуру та книжкова ілюстрація; врахування у розвитку каліграфії і шрифтового мистецтва релігії, стану економіки, національної специфіки та створення шкіл каліграфії, графічного дизайну та образотворчого мистецтва з урахуванням запитів промисловості, виробництва; реалізація етнографічно-культурологічного підходу до дизайн-освіти, структурування змісту освіти на основі вивчення етнічної специфіки культури певного народу у підготовці дизайнерів; використання каліграфії в дизайні як метод зображення історії та культури, вираженої через характер літер, які будуть використовуватися на меблях, колонах, стелі, архітектурних будівлях тощо; як джерело натхнення для дизайнерів, які інтегрують мистецтво каліграфії в сучасний дизайн; визначення каліграфії як важливої практичної традиції етносу, адже дитина долучається до надбань культури, у неї формується почуття етнічної приналежності; каліграфія визначається як форма відображення індивідуальності художника, митця, дизайнера і пов’язане з мистецтвом авторської інтерпретації мистецьких технік у різних сферах, зокрема у дизайні.