bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation into the cracking potential of different composite liners under wetting-drying cycles
Authors: Puspita Annisa Sila , Budihardjo Mochamad Arief , Samadikun Budi Prasetyo 
Published: December 2023

Abstract
The formation of cracks in compacted clay liners used as landfill liners creates a preferential pathway for water flow and pollutant transport, resulting in polluted soil and an increase in the hydraulic conductivity of the soil. The desiccation crack intensity in six variations in the materials of clay soil commonly used for landfill liner was studied using the wetting-drying cycle method and analyzed using crack intensity factor (CIF) values for 15 days with observations every 8 hours; the crack intensity was identified based on color sensitivity using MATLAB R2018b software. The results indicate that the more bentonite clay there is in the soil, the higher its CIF value becomes because bentonite has a high plasticity index. Adding lime and coconut fiber is associated with a lower CIF, and higher plastic and liquid limits are associated with higher CIF values. The CIF pattern identified in the soil variations (V1 to V6) shows that the highest CIF value is in V4 (4.11%), and the lowest CIF value is in V3 (0.0138%), with the reduction of CIF in two groups of clayey soils (A1 and A2) during the experiment was over A1 (10%) and A2 (16%). According to the results of this study, desiccation cracking testing on soil using the wetting-drying cycle method using CIF values analyzed ​​every 8 hours is promising for characterizing environmental conditions with accurate observations.
Food addiction to capture severe condition in eating disorder
Authors: Jobin Alycia , Gingras Félicie , Beaupré Juliette , Legendre Maxime , Bégin Catherine 
Published: December 2023

Abstract
Food addiction (FA) is not in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). However, evidence shows that it increases the severity of eating disorder symptoms, especially when comorbid with binge eating disorder (BED). This study aims to examine the effect of FA on the severity of eating behaviors and psychological correlates in relation with an ED diagnosis. Participants (n = 223) were recruited at the Centre [blind for review] and completed a semi-structured eating disorder diagnosis interview and questionnaires measuring eating behaviors, personality traits, emotional regulation, and childhood interpersonal trauma. They were categorized by the presence of an eating disorder (BED, eating disorder not otherwise specified (EDNOS) or none) and the presence of FA. Group comparisons showed that, in patients with BED, those with FA demonstrated higher disinhibition and more maladaptive emotional regulation strategies than participants without FA. In patients without an eating disorder diagnosis, those with FA demonstrated higher disinhibition, more maladaptive emotional regulation strategies, more interpersonal trauma, and less self-directedness. The assessment of FA combined with the diagnostic assessment of eating disorder provides a better understanding of the severity of the pathology. First, in presence of BED, FA allows to target a subgroup of patients showing higher severity. Second, FA allows to target patients without an eating disorder diagnosis that would still benefit from professional help.
Detection of the JAK2V617F in Phildelphia-negative Myeloproliferative Neoplasms patients: Comparison of the PCR-RFLP and Nucleotide sequencing
Authors: Laranjeira Wanessa Horreda , Torres Dania Isamary Gutierrez , Garcia Nadja , Costa Allyson Guimarães da , Malheiro Adriana , Mourão Lucivana P. de Souza , Silva George Allan Villarouco da , Tarragô Andréa Monteiro 
Published: December 2023

Abstract
Introduction: Myeloproliferative Neoplasms (MPNs) are a group of hematological malignancies, characterized by the hyperplasia of progenitor hematopoietic cells in the bone marrow and increased circulation of mature cells in the peripheral blood.
Methods: This study investigated the occurrence of the c.617Val>Phe variant in patients with myeloproliferative neoplasms in the state of Amazonas-Brazil. As well, to compare the molecular analysis of JAK2V617F by PCR-Restriction Fragment Length Polymorphism (RFLP) and Sanger Sequencing. The online application OpenEpi calculated the accuracy, sensibility, and specificity of the test.
Results: Samples of 97 patients with hematological diseases were analyzed by PCR- RFLP methodology, 14 (14.43%) JAK2V617F-positiveand 83 (85.57%) were negative for variant. By Sanger sequencing, 13 patients were positive for the mutation (8 with GT genotype [heterozygote] and 3 with TT genotype [homozygous mutant].
Conclusion: Using the Sanger Sequencing results as a reference for mutation detection, the performance of the RFLP-PCR assay demonstrated similar results, with a sensitivity of 92.31%, specificity of 97.63%, and diagnostic accuracy of 96.91%. Both techniques are appropriate for detecting JAK2V617F.In summary, PCR-RFLP is the most suitable approach for quick and efficient V617F detection, may be used as a screening technique in routine laboratory.
An analysis of the influencing factors of false negative autoantibodies in patients with non-small cell lung cancer
Authors: wang ailin , Ying Hao , Huo Yunlong , Zhang Yi , Xu Xiaoman 
Published: December 2023

Abstract
Objectives: To analyze the clinical significance of seven autoantibodies (p53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGE, and CAGE) in patients with non-small cell lung cancer (NSCLC) and the factors that influence false-negative results.
Methods: Seven autoantibodies were measured in the serum of 502 patients with non-small cell lung cancer (NSCLC) using ELISA, and their correlations with age, sex, smoking history, pathological type, clinical stage, and PD-L1 gene expression were analyzed. The clinicopathological data of the false-negative and positive groups for the seven autoantibodies were compared to determine the influencing factors.
Results: P53 antibody expression level was correlated with lobulation sign, PGP9.5 antibody expression level with sex and vascular convergence; Sox2 antibody expression level with pathological type, clinical stage, and enlarged lymph nodes; and MAGE antibody expression level with the pathological type (P<0.05). False-negative autoantibodies are prone to occur in lung cancer patients with ground-glass nodules, no enlarged lymph nodes, no vascular convergence, and PD-L1 gene expression <1% (P <0.05).
Conclusion: Detection of seven autoantibodies was clinically significant in patients with NSCLC. However, poor sensitivity should be considered in clinical diagnoses to prevent missed diagnoses.
Numerical Investigation of Vortex Flow Dynamics and Heat Transport in a Wavy Cavity with Variable Cross-Section Cylinder Using Triangular Grid-Based Finite Element Method and Galerkin Weighted Residuals
Authors: Hossain Md. Nazmul , Fayz-Al-Asad Md. , Alam Md. Nur , Sarker Md. Manirul  Alam , Ali Ahmed Refaie 
Published: December 2023

Abstract
This work aims to develop a computational model to explore the dynamics of vortex flow physics and heat transport characteristics inside a wavy enclosure subjected to a cylinder of varying cross section. The physical problems are expressed in mathematical form by suitable sets of governing equations with the appropriate boundary conditions. This dimensionless form is subsequently solved using a free triangular grid-based finite element technique that utilizes the Galerkin weighted residuals methodology. The progress simulation were conducted for a range of Rayleigh number (103 ≤ Ra ≤ 106), aspect ratios (1 ≤ Ra ≤ 3), and various inclination angles of an elliptical cylinder (0° ≤ ϕ ≤ 90°). The numerical solutions to the problems are visually shown in terms of streamlines, isotherms, angle of orientation, and mean Nusselt number in terms of heat transport rate. The findings of the current study and a previously published paper are noted to be strongly in agreement. The most significant enhancement in heat transport was observed when the elliptical cylinder was oriented in a vertical arrangement when AR = 3.0 and Ra = 106.
Ocular manifestations of COVID-19 infection: A retrospective study
Authors: Ju Huan , Wang Xing , Xie Hao , Lu Jing , Peng Hui 
Published: December 2023

Abstract
Introduction: Corona Virus Disease 2019 (COVID-19) swept the world rapidly to become the world’s first major public health problem. SARS-CoV-2’s receptors are expressed in multiple tissues throughout the body and can cause multiple organ damage when engaged by the virus. We collected and classified the clinical ocular manifestations of individuals infected with the SARS-CoV-2 during the pandemic and analyzed them to gain an understanding of the ocular manifestations of COVID-19.
Methods: We conducted a retrospective study to collect the demographic characteristics, the SARS-CoV-2 infection signs and symptoms, and specifically, the ocular manifestations of the individuals with COVID-19. We used SPSS for all statistical analyses, to calculate the incidence of COVID-19 ocular manifestations and to analyze the possible associations between those and sex, age, and clinical manifestations of COVID-19.
Results: Of the 452 records reviewed, 134 didn’t pass any tests to confirm COVID-19, so this group did not participate in the analysis. Of the remaining 318 reviewed records, 147 (46.2%, n=318) belonged to men and 171 (53.8%, n=318) to women. The most common systemic symptoms were cough, expectoration, chills, fever, and fatigue. In addition, we found women to be more likely than men to experience cough, expectoration, nasal congestion, runny nose, sore throat, hoarseness, low back pain, taste changes, and arthralgia. The overall incidence ofCOVID-19 eye manifestations was 26.7% (n=318) and the most common symptoms were eyeball pain, decreased vision , eye itching or foreign body sensation, and photophobia or tearing. Women were more likely than men to experience eyeball pain and orbital pain. We found sex and the prolonged screen time usage to be associated with COVID-19 ocular manifestations, whereas age, BMI, history of eye disease, basic diseases, types of COVID-19, vaccination status, and vaccination time were not associated with the presence of ocular manifestations.
Conclusion: COVID-19 ocular manifestations are common, and the main ones include eyeball pain and decreased vision. The variables associated with eye discomfort are sex and the prolonged screen time usage. Other variables such as age, BMI, underlying diseases, and type of COVID-19 were not associated with the occurrence of ocular symptoms in COVID-19.
A generalisation of the method of regression calibration and comparison with the Bayesian 2-dimensional Monte Carlo method
Authors: Little Mark P. , Hamada Nobuyuki , Zablotska Lydia B 
Published: December 2023

Abstract

For many cancer sites it is necessary to assess risks from low-dose exposures via extrapolation from groups exposed at moderate and high levels of dose. Measurement error can substantially alter the shape of this relationship and hence the derived population risk estimates. Even in studies with direct measurement of low-dose exposures measurement error could be substantial in relation to the size of the dose estimates and thereby distort population risk estimates. Recently, much attention has been devoted to the issue of shared errors, common in many datasets, and particularly important in occupational settings. In this paper we test a Bayesian model averaging method, the so-called Bayesian two-dimensional Monte Carlo (2DMC) method, that has been fairly recently proposed against a very newly proposed modification of the regression calibration method, which is particularly suited to studies in which there is a substantial amount of shared error, and in which there may also be curvature in the true dose response. We also compared both methods against standard regression calibration and Monte Carlo maximum likelihood. The Bayesian 2DMC method performs poorly, with coverage probabilities both for the linear and quadratic dose coefficients that are under 5%, particularly when the magnitudes of classical and Berkson error are both moderate to large (20%-50%). The method also produces substantially biased (by a factor of 10) estimates of both the linear and quadratic coefficients, with the linear coefficient overestimated and the quadratic coefficient underestimated. By comparison the extended regression calibration method yields coverage probabilities that are too low when shared and unshared Berkson errors are both large (50%), although otherwise it performs well, and coverage is generally better than the Bayesian 2DMC and all other methods. The bias of the predicted relative risk at a variety of doses is generally smallest for extended regression calibration, and largest for the Bayesian 2DMC method (apart from unadjusted regression), with standard regression calibration and Monte Carlo maximum likelihood exhibiting bias in predicted relative risk generally somewhat intermediate between the other two methods.
Is women’s social independence a strong determinant for the reproductive health-related outcomes of the Turkish population?
Authors: Özdemir Raziye , Horasan Gönül Dinç 
Published: December 2023

Abstract

Background
Women's empowerment is increasingly recognized as a crucial factor in achieving reproductive health goals and gaining related rights. This study analyzed the relationship between women’s social independence and various reproductive health-related outcomes.
Methods
The study used data from the nationally representative 2018 Turkey Demographic and Health Survey. We analyzed data from 5156 married women. The study included eight dependent variables: 1) a total number of births; 2) an ideal number of children; 3) women’s ability to have just the desired number of children; 4) unplanned births; 5) needs for modern family planning methods; 6) contraceptive category (female-only or couple contraceptive methods); 7) induced abortions; and 8) miscarriages. The main predictor of outcome variables was women’s social independence, which was measured using a modified form of the social independence domain of the survey-based women's empowerment (SWPER) index. Principal component analysis was used to estimate the factor loadings of the items and calculate individual standardized scores. Social independence scores were classified into 20% quintiles as lowest, lower, middle, higher, and highest. The relationship between the dependent and independent variables was explored by calculating prevalence ratios and corresponding 95% confidence intervals (PRs, 95% CI) using a robust Poisson regression analysis. PRs were adjusted by age, household wealth quantiles, residence, and region.
Results
Women with the lowest levels of social independence had higher PRs than those with the highest social independence in the following categories: number of births of four or more [PR = 16.0 (7.2–25.3)], ideal number of children of four or more [PR = 1.9 (1.6–2.2)], more children than the ideal number [PR = 5.7 (3.3–8.1)], having an unplanned birth [PR = 2.3 (1.6–2.9)], the use of female-only contraceptive methods [PR = 1.7 (1.4–1.9)], induced abortions [PR = 1.9 (1.5–2.4)], and miscarriages [PR = 1.7 (CI 1.3-2.0)]. As women's social independence levels decreased, there was a consistent and gradual increase in negative reproductive health outcomes.
Conclusion
The study indicates that higher social independence levels are strongly associated with better reproductive health outcomes, emphasizing the need for women's empowerment in social independence for reproductive health policies.
Solving the problem of stability of the stationary quality indicator of complex technical systems
Authors: Karmanov A. V. , Orlova K. P. , Serkin V. E. , Tokarev M. A. 
Published: December 2023

Aim. To define and solve the problem of stability of the stationary quality indicator of a complex technical system. The random process of the system’s walking by its possible states is described with a homogeneous Markov process. The stability problem consists in defining such stationary (final) probabilities of the Markov process that implement the maximum and minimal values of the quality indicator, provided that the rate of state transitions have interval estimations and the rates are conditioned by the process of failures and recoveries of the system’s elements. The stationary quality indicator has a fairly standard form and is a scalar product of the final probability vector of the Markov process and the vector that characterises the “weight” of each state, where “weight” may be understood as various contensive characteristics of states.Methods. The paper uses mathematical methods of optimal control of a Markov process using an income vector of a special form and linear programming.Results. A method is proposed and substantiated for solving the problem of stability of a stationary indicator of the quality of operation of a complex technical system. A numerical algorithm for solving the above problem is presented as well. The paper gives an example of the solution of a problem of stability with quality indicator that is a “penalty” function.Conclusion. The paper discusses the problem of numerical solution of the stability problem of a large dimensionality.
Predictive models of the dependability of electric power transmission (using the example of AO Tyvaenergo)
Authors: Naumov I. V. 
Published: December 2023

Aim. The paper analysed the damage rate of the electric power networks of AO Tyvaenergosbyt between 2014 and 2022 and preventively evaluates emergency shutdowns in the company’s networks in 2023. The author provides a brief historical reference regarding the company’s foundation, a description of the structure of its power supply network. The damage rate of elements, as well as main electrical equipment of the company’s power supply network were examined. The quantity of electrical power undersupplied to customers as the result of emergency shutdowns was analysed. The number of failures was classified depending on the amount of undersupplied electrical power. The paper studied the applicability of certain methods of prediction of the number of emergency shutdowns for the obtained interpolated series of preceding failures. The most appropriate method was established that was used for preventively evaluating the damage rate of the examined power networks for each month of 2023.Methods. The paper uses methods of mathematical analysis, general scientific methods of research, properties and capabilities of the MATLAB graphic interface and Excel tables. Statistical and cybernetical methods of prediction were considered for the purpose of predictive model development. The probability of failures within the examined power networks was evaluated. Equations were obtained for autoregression failure models that enable predictive evaluation of failure by months.The Results of the study may prove to be useful to the experts of Tyvaenergosbyt, as well as other power grid companies that are developing advanced emergency prevention activities aimed at improving the reliability of power supply.Conclusion. The approach to predictive evaluation of emergency shutdowns proposed in the paper showed that the most efficient method of predicting failures in a company’s power networks is the method of autoregression models using interpolation of data on preceding failures. The probability of prediction fulfilment is 95%.
Distance Electronic Learning Strategy in Medical Teaching During the COVID-19 Pandemic: Cross-Sectional Survey Study
Authors: Alkuran Oqba , Al-Mehaisen Lama , Abu Mahfouz Ismaiel , Al-Kuran Lena , Asali Fida , Khamees Almu’atasim , AL-Shatanawi Tariq , Jaber Hatim 
Published: December 2023

Background
Teaching hospitals have been regarded as the primary settings where doctors teach and practice high-quality medicine, as well as where medical students learn the profession and acquire their initial clinical skills. A percentage of instruction is now done over the internet or via electronic techniques. The present COVID-19 epidemic has pushed distance electronic learning (DEL) to the forefront of education at all levels, including medical institutions.

Objective
This study aimed to observe how late-stage medical students felt about DEL, which was put in place during the recent COVID-19 shutdown in Jordan.

Methods
We conducted a prospective, cross-sectional, web-based, questionnaire-based research study during the COVID-19 pandemic lockdown between March 15 and May 1, 2020. During this period, all medical schools in Jordan shifted to DEL.

Results
A total of 380 students responded to a request to fill out the questionnaire, of which 256 completed the questionnaire. The data analysis showed that 43.6% (n=112) of respondents had no DEL experience, and 53.1% (n=136)of respondents perceived the DEL method as user-friendly. On the other hand, 64.1% (n=164) of students strongly believed that DEL cannot substitute traditional clinical teaching. There was a significant positive correlation between the perception of user-friendliness and the clarity of the images and texts used. Moreover, there was a strong positive correlation between the perception of sound audibility and confidence in applying knowledge gained through DEL to clinical practice.

Conclusions
DEL is a necessary and important tool in modern medical education, but it should be used as an auxiliary approach in the clinical setting since it cannot replace conventional personal instruction.
The Finnegan Score for Neonatal Opioid Withdrawal Revisited With Routine Electronic Data: Retrospective Study
Authors: Rech Till , Rubarth Kerstin , Bührer Christoph , Balzer Felix , Dame Christof 
Published: December 2023

Abstract

Background
The severity of neonatal abstinence syndrome (NAS) may be assessed with the Finnegan score (FS). Since the FS is laborious and subjective, alternative ways of assessment may improve quality of care.

Objective
In this pilot study, we examined associations between the FS and routine monitoring data obtained from the electronic health record system.

Methods
The study included 205 neonates with NAS after intrauterine (n=23) or postnatal opioid exposure (n=182). Routine monitoring data were analyzed at 60±10 minutes (t–1) and 120±10 minutes (t–2) before each FS assessment. Within each time period, the mean for each variable was calculated. Readings were also normalized to individual baseline data for each patient and parameter. Mixed effects models were used to assess the effect of different variables.

Results
Plots of vital parameters against the FS showed heavily scattered data. When controlling for several variables, the best-performing mixed effects model displayed significant effects of individual baseline-controlled mean heart rate (estimate 0.04, 95% CI 0.02‐0.07) and arterial blood pressure (estimate 0.05, 95% CI 0.01‐0.08) at t–1 with a goodness of fit (R2m) of 0.11.

Conclusions
Routine electronic data can be extracted and analyzed for their correlation with FS data. Mixed effects models show small but significant effects after normalizing vital parameters to individual baselines.