bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19: introduction of a new lifestyle and diet among the Malaysians
Authors: Pitol Md. Najmus Sayadat , Sapir Ana Shakirah Md. 
Published: January 2023

Abstract
Background
The stay-at-home conditions due to the COVID-19 pandemic significantly alter the Malaysian lifestyle, and all Malaysians faced difficulties adopting the new lifestyle. A hypothetico-deductive technique has been conducted in this study, to find out what kind of changes the COVID-19 has brought about in the behavior of Malaysians and how they are coping with the changing lifestyles. According to G* Power 3.1 sample size determination in Malaysia, the entire sample of 112 was sufficient to provide the value for the medium effect size for the computation of the F-tests and the findings were reliable (The Cronbach's alpha values were all above 0.70.). To calculate the mean of the lifestyle during COVID-19, the mean scores range between 1.00 and 5.00 marks indicating much reduced to much increased.

Results
It seemed that the jobs traveling (mean 1.80) and outdoor sports time (mean = 1.94) were somewhat reduced. In contrast, indoor sports activities (mean = 3.01), online games (mean = 2.76), physical exercises (mean = 2.63), and the number of staycations (mean = 2.46) during the pandemic stayed the same. However, religious activities (mean = 3.73), body mass index (mean = 3.54), online shopping (mean = 3.90), sleeping time (mean = 3.43), amount of anxiety (mean = 3.38), amount of caffeine (mean = 3.15), medical consumption (mean = 3.10), watching movies (mean = 3.26), and watching drama series (mean = 3.37) during COVID-19 were somewhat increased. In addition, respondents' time spent on social media (mean = 4.27) and online meetings (mean = 4.37) during COVID-19 were much increased. We found no significant differences in the means of the dependent variables (lifestyle of COVID-19) among all demographic characteristics except age and employment status.

Conclusions
New behavioral changes bring new challenges. Malaysians should need to adopt some precautions to minimize the negative effect of new behavioral changes in post-COVID-19 life. The results will help policymakers to make the right decisions about improving the quality of life after COVID-19.
A low dislocation rate after revision total hip arthroplasty performed through the anterior approach
Authors: Kahhaleh Edward , Charles Tatiana , Collard Xavier , Jayankura Marc 
Published: January 2023

Abstract
Background
Dislocation is a major complication in revision total hip arthroplasties. This study aimed to evaluate the dislocation rate, complications, and functional scores of revision total hip arthroplasty performed through the direct anterior approach.

Methods
Between January 2014 and March 2020, 84 patients undergoing revision total hip arthroplasty were retrospectively reviewed. All operations were performed through the direct anterior approach. At the final follow-up, incidences of dislocation, reoperation, acute deep infections, periprosthetic fractures and psoas impingement were assessed. The median postoperative Oxford Hip Score was also calculated.

Results
At revision surgery, the mean age was 66 ± 12 years (range, 28–91). During an average follow-up of 4.2 ± 1.2 years, reoperation rate for major complications in the non-infected revisions was 15% (n = 11), including five acute deep infections (7%), four periprosthetic fractures (5%), one dislocation and one psoas impingement (1%). The median postoperative Oxford Hip Score was 39 (interquartile range = 14).

Conclusion
In our series, revision total hip arthroplasty through direct anterior approach was associated with a very low dislocation rate, acceptable complication rates and good functional results. Our results suggest that this procedure is safe and reliable.

Trial registration
Ethical approval for this study was obtained, before enrollment of the first participant, by CUB Erasme's research ethics committee (P2020/323) and C.H.U Ambroise Paré's research ethics committee.
The value of PRECISE-DAPT score and lesion complexity for predicting all-cause mortality in patients with NSTEMI
Authors: Alıcı Gökhan , Genç Ömer , Urgun Örsan Deniz , Erdoğdu Tayfur , Yıldırım Abdullah , Quisi Alaa , Kurt İbrahim Halil 
Published: January 2023

Abstract
Background
We aimed to evaluate the prognostic effects of stroke risk scores (SRS), SYNTAX score (SX score), and PRECISE-DAPT score on mortality in patients with non-ST-segment elevation myocardial infarction (NSTEMI). Three hundred forty-three patients hospitalized with a diagnosis of NSTEMI and underwent coronary angiography (CAG) between January 1, 2022, and June 1, 2022, were included retrospectively in this single-center study. Patients' demographic, clinical and routine biochemical parameters were recorded. The scores (CHADS2, CHA2DS2-VASc, R2CHA2DS2-VASc, ATRIA, SX score, PRECISE-DAPT) of each patient were calculated. Participants were then divided into two groups by in-hospital status; all-cause mortality (+) and all-cause mortality (−).

Results
Overall, the mean age was 63.5 ± 11.8 years, of whom 63.3% (n = 217) were male. In-hospital mortality occurred in 31 (9.3%) patients. In the study population, those who died had significantly higher SX (p < 0.001), PRECISE-DAPT (p < 0.001), and ATRIA (p = 0.002) scores than those who survived. In logistic regression analysis, PRECISE-DAPT score [Odds ratio (OR) = 1.063, 95% CI 1.014–1.115; p = 0.012] and SX score [OR: 1.061, 95% CI 1.015–1.109, p = 0.009] were found to be independent predictors of in-hospital all-cause mortality among NSTEMI patients. In ROC analysis, the PRECISE-DAPT score performed better discriminative ability than the SX score in determining in-hospital mortality [Area under the curve = 0.706, 95% CI 0.597–0.814; p < 0.001].

Conclusions
During the hospital stay, both PRECISE-DAPT and SX scores showed better performance than SRS in predicting all-cause mortality among NSTEMI patients undergoing CAG. Aside from their primary purpose, both scores might be useful in determining risk stratification for such patient populations.
Factors influencing suicidal ideation and self-harm among undergraduate students in a Nigerian private university
Authors: Kukoyi Olasumbo , Orok Edidiong , Oluwafemi Funmilayo , Oni Olawale , Oluwadare Tunrayo , Ojo Tolulope , Bamitale Toba , Jaiyesimi Boluwaji , Iyamu Debbie 
Published: January 2023

Abstract
Background
Suicide and self-harm have been documented as the main cause of death among young adults. Nigeria as well as other low-income countries is reported to have a higher prevalence rate of suicidal ideation and self-harm as compared to high-income countries. The aim of this study was to evaluate the factors that influence self-harm and suicidal ideation among university undergraduates.

Results
Four hundred fifty students consented to participate in this study where 61.3% were female with mean age of 20.02 + 1.88 years. More than 46% (208) had moderate social support while 80.4% had a high self-esteem and 72.7% low environmental factor scores. There was an association between self-esteem (p=0.001), social support (p<0.001), and self-harm but no association between social support and suicide ideation (p=0.199) as well as between gender and self-harm (p=0.118).

Conclusions
There was some form of influence from self-esteem, social support, and environmental factors on self-harm and suicidal ideation. Interventions tailored towards these factors in order to improve mental health outcomes among undergraduates are needed.
The relation between SNPs in the NME1 gene and response to sofosbuvir in Egyptian patients with chronic HCV
Authors: AbdElrahman Mohamed , Ibrahim Marwa K. , Tawfik Salwa , Omran Dalia , Bendary Mahmoud M. , Hassanin Soha Osama , Elbatae Hassan 
Published: January 2023

Abstract
Background
Hepatitis C virus (HCV) infection is considered one of the most urgent health problems in the world, with an incidence of approximately 71 million patients and 399,000 deaths per year from related liver diseases. In this study, we examined the association between 2 single nucleotide polymorphisms (SNPs) in the nucleoside diphosphate kinase 1 (NME1) gene (encoding one of the sofosbuvir metabolizing enzymes) and the response to the sofosbuvir plus daclatasvir regimen in Egyptian HCV-infected patients.

Results
Our data showed a similarity in the distribution of the CC, CT, and TT genotypes of NME1 rs2302254 C/T (p  =  0.847) and the CC, TC, and TT genotypes of NME1 rs16949649 T/C (p  =  0.937) among patients who were either treatment responders or relapsers. Based on the univariate and multivariate logistic regression analyses of the significant predictors for sustained virological response (SVR), five factors showed a robust predictive potency for the treatment outcome: age, fasting blood glucose level, platelets, albumin, and alpha-fetoprotein. Strikingly, there was a significant correlation between the rs16949649T/C polymorphism and serum creatinine (p  =  0.023). Higher creatinine levels were observed among the CC carriers than the TC or TT carriers.

Conclusions
The 2 studied SNPs of NME1 had no significant association with SVR in Egyptian HCV-infected patients; however, the noticeable relation between rs16949649T/C and creatinine level might represent a foundation for future studies on the renal extra-hepatic manifestation of HCV and SNPs of NME1 gene.
Disability prevalence: comparing four types of disability measures in the community
Authors: Ganesh G. Shankar , Gedamkar Garima , Rami Meet Alpeshkumar , Patel Milan Dipakkumar , Patel Deep Pankajbhai 
Published: January 2023

Abstract

Background
There is no general consensus on how to measure disability and disability prevalence rates. The results of previous estimates could not be compared due to the varied nature of the methodologies used and the lack of standardization in the measurement of disability. The primary objective of the study was to estimate the prevalence of disability using a population-based disability survey and questions selected by the National Center for Promotion of Employment for Disabled People (NCPEDP). The secondary objective is to determine whether there was any relationship between the severity of disability and essential sociodemographic factors.
The survey was carried out in the Indian state of Gujarat’s Piplag village. Eight final-year physiotherapy students gathered sociodemographic data and answers to the four disability-related questions—disability question asked in India census 2011, Washington Group (WG)-suggested question, United Nations Convention on the Rights of Persons with Disabilities (UNCRPD)-based question, and National Sample Survey Organization (NSSO)-based question.

Results
A greater percentage of the population was classified as having a functional limitation in the questions based on the UNCRPD (28.29%) (95% CI 25.1–31.3%) and the WG (29.69%) (95% CI 26.0–34.4%). Our findings demonstrated that there were significant relationships between the questions in different questionnaires (p < 0.01). Female gender strongly influences how people self-identify as having a disability (by 5.7 to 12.07 times), and the predictor variables based on the Indian census 2011 questions explained 61.7% of the variation in prevalence of disability.

Conclusions
The prevalence statistics may vary based on the questions used to gather information about disabilities. As gender and socioeconomic status can impact the prevalence of disabilities, it is important to focus on ways to improve economic growth, especially for women.
Platelet lymphocyte ratio, lymphocyte monocyte ratio, mean platelet volume, and neutrophil lymphocyte ratio in Behcet’s disease and their relation to disease activity
Authors: Selim Zahraa I. , Mostafa Naima M. , Ismael Esraa O. , Kamal Doaa 
Published: January 2023

Abstract
Background
Behcet’s disease (BD) does not have specific laboratory finding or pathological physical examination sign, and only few studies have investigated Neutrophil to lymphocyte ratio (NLR), platelets to lymphocytes ratio (PLR), lymphocytes to monocytes ratio (LMR), or mean platelet volume (MPV) values in patients with BD. We conducted this study to investigate the relationship between these indices and Behcet’s disease (BD) and to determine their relation to BD disease activity.

Results
This study is a case-control study that included 36 Behcet’s disease patients and 36 healthy controls. BD patients showed significant increase in the mean of NLR and PLR in comparison to control (P = 0.008 and 0.011) respectively, and highly significant decrease in LMR and MPV levels in BD patients in comparison to control (P < 0.001 and < 0.001) respectively. Also, we found that NLR, PLR, and LMR were significantly related to BD activity, and there were significant associations between the studied hematological parameters with some of muco-cutaneous, articular, gastrointestinal, eye, and nervous system manifestations in BD patients.

Conclusion
The blood indices NLR, PLR, LMR, and MPV are potential inflammatory markers that can be used to evaluate inflammatory status and disease activity in patients with BD. NLR and PLR showed positive relation being higher in active disease and also higher in highly active disease than in low disease activity. Also, LMR was significantly decreased in Behcet’s disease patients in relation to disease activity. Furthermore, NLR and PLR levels were significantly more associated with muco-cutaneous and nervous system involvement while, LMR levels were significantly associated with muco-cutaneous, articular, gastrointestinal and eye manifestations and MPV levels were associated with articular manifestations being significantly related to disease activity. These easily evaluated markers could help in the management of this disease with multisystem affection that are sometimes serious and potentially life threatening.
Improved Cancer-Specific Risk Stratification by the Lymph Node Ratio-Based Nomogram: A Potential Role in Guiding Postoperative Management Decisions for Oral Cavity Carcinoma
Authors: Liu Yang , Ma Yuchao , Shayan Gulidanna , Sun Shiran , Huang Xiaodong , Wang Kai , Qu Yuan , Chen Xuesong , Wu Runye , Zhang Ye , Liu Qingfeng , Zhang Jianghu , Luo Jingwei , Xiao Jianping , Li Yexiong , Yi Junlin , Wang Jingbo 
Published: January 2023

PURPOSETo develop and validate a nomogram integrating lymph node ratio (LNR) to predict cancer-specific survival (CSS) and assist decision making for postoperative management in nonmetastatic oral cavity squamous cell carcinoma (OCSCC).MATERIALS AND METHODSWe retrospectively retrieved 6,760 patients with OCSCC primarily treated with surgery from surveillance, epidemiology, and end results database between 2010 and 2015. They were randomly divided into training and validation cohorts. Performance of the nomogram was evaluated by calibration curve, consistency index, area under the curve, and decision curve analysis and was compared with that of the LNR, positive lymph nodes (PLN) and tumor node metastasis (TNM) staging. According to the individualized nomogram score, patients were classified into three risk cohorts. The therapeutic efficacy of postoperative radiotherapy and chemotherapy was evaluated in each cohort.RESULTSThe nomogram incorporated six independent variables, including race, tumor site, grade, T stage, PLN, and LNR. Calibration plots demonstrated a good match between the predicted and observed CSS. C-indices for training and validation cohorts were 0.746 (95% CI, 0.740 to 0.752) and 0.726 (95% CI, 0.713 to 0.739), compared with 0.687, 0.695, and 0.669 for LNR, PLN, and TNM staging, respectively ( P < .001). Decision curve analyses confirmed that nomogram showed the best performance in clinical utility. Postoperative radiotherapy presented survival benefit in medium-and high-risk groups but showed a negative effect in the low-risk group. Chemotherapy was only beneficial in the high-risk group.CONCLUSIONThe LN status-incorporated nomogram demonstrated good discrimination and predictive accuracy of CSS for patients with OCSCC and could identify those most likely to benefit from adjuvant therapy.
Digital twin and contact analysis of ultra-long distance coiled tubing operation structures
Authors: Wei Wenlan , Qu Hao , Cheng Jiarui , Wang Wenyuan , Wang Maliang 
Published: January 2023

Background: Coiled tubing operation is a high-quality operation method that considers both cost and efficiency in current oil and gas well operations. There is a significant difference between the calculation and prediction before operation and the actual operation. The reason is that the complex wellbore trajectory makes it difficult to evaluate the contact state between coiled tubing and wellbore, resulting in a significant error in the pipe string mechanics calculation and analysis. Methods: Aiming at the contact problem between coiled tubing and wellbore in the process of coiled tubing operation, the digital twin unit of coiled tubing and wellbore is established in this study. By constructing a feedback correction collision contact algorithm, the contact state of coiled tubing and casing under different three-dimensional trajectory models was simulated. Results: The research results show that the digital twin coiled tubing and contact algorithm can effectively predict the contact state of coiled tubing operations; the verification model shows that the contact algorithm can accurately analyze the contact state of different well trajectories. Conclusions: The digital twin of the coiled tubing operation structure and its contact algorithm can effectively solve the problem of deterministic friction state in the process of mechanical calculation of the tubing string, which has important guiding significance and engineering value for the mechanical calculation and operation safety analysis of coiled tubing operation.
Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network
Authors: Arias-Serrano Isaac , Velásquez-López Paolo A. , Avila-Briones Laura N. , Laurido-Mora Fanny C. , Villalba-Meneses Fernando , Tirado-Espin Andrés , Cruz-Varela Jonathan , Almeida-Galárraga Diego 
Published: January 2023

Background: Glaucoma and diabetic retinopathy are the leading causes of blindness due to an irreversible damage to the retina which results in vision loss. Early detection of these diseases through regular screening is especially important to prevent progression. The image of retinal fundus is the main evaluating strategy for the glaucoma and diabetic retinopathy detection. Then, automated eye disease detection is an important application of retinal image analysis. Compared with classical diagnostic techniques, image classification by convolutional neural networks (CNN) have the potential for better cost-effective performance. Methods: In this paper, we propose the use of MATLAB – retrained AlexNet CNN for computerized eye diseases identification, particularly glaucoma and diabetic retinopathy, by employing retinal fundus images. The acquisition of the database was carried out through free access databases and access upon request. A transfer learning technique is used for retraining the AlexNet CNN. Specifically, the model divides the fundus image dataset into training and testing data. Results: As datasets were added by network training, different values were reported for validation accuracy, false positives and false negatives, precision, and recall. Thus, having NetTransfer I with a validation accuracy value of 94.3% for two classes. NetTransfer II with a validation accuracy value of 91.8% for two classes. NetTransfer III with a validation accuracy value of 89.7% for three classes. Net transfer IV with a validation accuracy value of 93.1% for three classes. Finally, NetTransfer V with a validation accuracy value of 92.1% for three classes. Conclusions: Re-training of the AlexNet network proved to be a powerful tool to create disease detection systems having high accuracy values and being able to discern between more than two diseases.
Food insecurity in the Eastern Indo-Gangetic plain: Taking a closer look
Authors: Pyne Saumyadipta , Guha Saurav , Das Sumonkanti , Ray Meghana , Chandra Hukum 
Published: January 2023

Objective
Food security is an important policy issue in India. As India recently ranked 107th out of 121 countries in the 2022 Global Hunger Index, there is an urgent need to dissect, and gain insights into, such a major decline at the national level. However, the existing surveys, due to small sample sizes, cannot be used directly to produce reliable estimates at local administrative levels such as districts.

Design
The latest round of available data from the Household Consumer Expenditure Survey (HCES 2011–12) done by the National Sample Survey Office of India used stratified multi-stage random sampling with districts as strata, villages as first stage and households as second stage units.

Setting
Our Small Area Estimation approach estimated food insecurity prevalence, gap, and severity of each rural district of the Eastern Indo-Gangetic Plain (EIGP) region by modeling the HCES data, guided by local covariates from the 2011 Indian Population Census.

Participants
In HCES, 5915 (34429), 3310 (17534) and 3566 (15223) households (persons) were surveyed from the 71, 38 and 18 districts of the EIGP states of Uttar Pradesh, Bihar and West Bengal respectively.

Results
We estimated the district-specific food insecurity indicators, and mapped their local disparities over the EIGP region. By comparing food insecurity with indicators of climate vulnerability, poverty and crop diversity, we shortlisted the vulnerable districts in EIGP.

Conclusions
Our district-level estimates and maps can be effective for informed policy-making to build local resiliency and address systemic vulnerabilities where they matter most in the post-pandemic era.

Advances
Our study computed, for the Indian states in the EIGP region, the first area-level small area estimates of food insecurity as well as poverty over the past decade, and generated a ranked list of districts upon combining these data with measures of crop diversity and climatic vulnerability.
Educomunicação socioambiental e pandemia
Authors: Ribeiro Brito Marcela Cristiane , Feitoza Senra Ronaldo Eustáquio , Cury Luiz Thiago 
Published: January 2023

Este artigo é parte dos resultados da pesquisa de Mestrado intitulada “Educomunicação socioambiental – narrativas da periferia”, apresentada no âmbito do Programa de Pós-Graduação em Ensino do Instituto Federal de Educação, Ciência e Tecnologia do Estado de Mato Grosso. Realizada em uma escola da periferia de Cuiabá-MT entre março de 2020 e setembro de 2021, a investigação contou com fomento do Edital 52/2020 PROPES/IFMT e está inserida na Rede Internacional de Educação Ambiental e Justiça Climática (REAJA) e no Grupo de Estudos em Educação Ambiental e Educação Campesina (GEAC/IFMT). Com base na realidade das aulas pela internet durante a pandemia da covid-19, o objetivo deste trabalho é demonstrar a percepção de estudantes do Ensino Fundamental da Escola Estadual Manoel Cavalcanti Proença sobre o fenômeno da emergência climática e a sua relação com o meio ambiente, com base na produção de conteúdo midiático em foto e vídeo. A metodologia utilizada neste estudo está calcada no estudo de caso, cujo substrato é o desenvolvimento de processos formativos sobre produção comunicacional e as questões ambientais contemporâneas, e na intervenção nesta escola de periferia de Cuiabá-MT. Como resultado, observamos que o debate sobre o clima ocorreu na perspectiva das percepções dos estudantes sobre o que é meio ambiente e suas mudanças na realidade de cada participante. Concluímos que o cenário da pandemia impossibilitou a ampliação da partilha de saberes, se comparado ao modo presencial com rodas de conversas freireanas, por exemplo. Todavia, os encontros virtuais com os estudantes os motivaram a querer estender as conversas sobre o meio ambiente.