bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perspectives of Refugee Parents and Unaccompanied Minors on Initial Health Assessment and Access to Care
Authors: Baauw Albertine , Brouwers Chanine F.S. , Afshar Sogol Fathi , Goudoever Johannes B. , Chinapaw Mai J.M. , Hoogsteder Mariëtte H.H. 
Published: January 2024

Abstract

Purpose
To explore needs, expectations and experiences of asylum-seeking parents and unaccompanied minors under the age of 18 years on the initial health assessment for children and adolescents, and access to care upon entry in the Netherlands.
Methods
We conducted five semi-structured focus group discussions with asylum seeking parents and unaccompanied minors, from Syria, Eritrea, Afghanistan and other middle-east and African countries, supported by professional interpreters. To triangulate findings, semi-structured interviews with health care professionals involved in care for refugee children were conducted. Transcripts of focus group discussions were inductively and deductively coded and content analysed, transcripts of interviews were deductively coded and content analysed.
Results
In total, 31 asylum seeking participants: 23 parents of 101 children (between 0–18 years old), 8 unaccompanied minors (between 15–17 years) and 6 healthcare professionals participated. Parents and minors expressed that upon entry, their needs were met for vaccinations, but not for screening or care for physical and mental health problems. Parents, minors and health professionals emphasized the necessity of appropriate information and education about health, diseases and the health system. Cultural change was mentioned as stressful for parent-child interaction and parental well-being.
Conclusion
The perspectives of refugee parents and unaccompanied minors revealed opportunities to improve the experience of and access to health care of refugees entering the Netherlands, especially risk-specific screening and more adequate education about health, diseases and the Dutch health care system.
A Multivariate Logistic Regression Model for Severity Classification at Admission among 1098 COVID-19 Patients in Gansu Province
Authors: chen yan , zhang liying , zhang shangzu , li yangyang , yang gengqiang , li qiyang , liu fuxian , wang xin , yong wenxing , zhang zhiming , liu yongqi 
Published: January 2024

Abstract
Background
By analyzing clinical characteristics and laboratory results among patients infected with severe acute respiratory disease coronavirus 2 (SARS-CoV-2) Omicron strains, this study aimed to investigate influencing factors of severity classification at admission in order to provide references for the prevention and treatment of SARS-CoV-2.
Methods
A total of 1,098 patients with SARS-CoV-2 Omicron strains from July 2022 to August 2022 in Lanzhou city, Gansu Province were retrospectively analyzed.
Results
All patients received traditional Chinese medicine (TCM) intervention, including 510 males and 588 females. 918 (83.683%) had no fever symptoms. Age, underlying diseases and vaccination were the most significant factors of coronavirus disease 2019 (COVID-19) severity. Specifically, age was positively correlated with moderate and severe COVID-19 while number of vaccinations had negative impact on classification at admission. For each additional unit of COVID-19 vaccination, the risk of mild, moderate and severe classification decreased by 0.532, 0.530 and 0.183 times, respectively. Besides, compared with unvaccinated patients, patients with underlying diseases were more likely to develop into critical COVID-19. Early use of TCM in the exposed population might be one of the reasons for the mild symptoms in this study.
Conclusions
Age, underlying diseases, number of COVID-19 vaccinations were three main risk factors of severity classification among COVID-19 patients at admission. We highly recommended to focus on and strengthen control for elderly patients with chronic underlying diseases, as well as the unvaccinated patients, followed by actively antiviral and control treatment. Vaccination and TCM intervention in advance might play an important role in the prevention of COVID-19.
Adam - Bayesian - Gaussian process regression based Monte Carlo simulation reliability analysis of deep soft rock tunnel
Authors: Xu Jiancong , Yang Chengbin , Rui Guorong 
Published: January 2024

Abstract

To evaluate the reliability of deep soft rock tunnels is a very important issue to be solved. In this paper, we proposed a novel Monte Carlo simulation reliability analysis method (MCS-RAM) integrating adaptive momentum stochastic optimization algorithm (Adam), Bayesian inference theory and Gaussian process regression (GPR) ——ABGPR-MCS-RAM, and implemented it by Python. The proposed method used the Latin hypercube sampling method to generate the dataset sample of geo-mechanical parameters, constructed combined kernel functions of GPR and adopted GPR to establish the surrogate model of the nonlinear mapping relationship between displacements and mechanical parameters of the surrounding rock. Adam was used to optimize the hyper-parameters of the surrogate model. Bayesian inference algorithm was used to obtain the probability distribution of geotechnical parameters and the optimal surrounding rock mechanical parameters. Finally, the failure probability was computed by the MCS-RAM based on the optimized surrogate model. Through the application of engineering case, the results indicate that the proposed method has less prediction error and stronger prediction ability than Kriging or XGBoost, and it can significantly save computational time compared with the traditional polynomial response surface method (PRSM). The proposed method can be used in the reliability analysis of all shapes of tunnels.
Inactivation of Escherichia coli in soil amended with organo-zeolitic substrates
Authors: Noroozi Omid , Sinegani Ali Akbar Safari , Farhangi Mohammad Bagher 
Published: January 2024

Abstract

This study evaluated the survival characteristics ofEscherichia coli(E. coli), a fecal indicator bacterium, in soil treated with organo-zeolitic substrates with different zeolite particle sizes in micro and nanoscale. For this purpose, we added 5, and 15 grams (g) zeolite or nano-zeolite to 5 g cow manure, and then added these substrates to the different amounts of a loam soil to obtain a 100 g mixture. To examine the net effects of substrates, our experiments were conducted in unsterile and sterile conditions. After the mixture’s preparation, all mixtures were inoculated by 106cells of a nalidixic-acid resistantE. coli(E. coliNAR) per g mixtures. Results showed that the application of organo-zeolitic substrates and sterilization significantly influencedE. coliNAR inactivation in soil. in unsterile mixtures, the presence of micro-size zeolite results in a highertdvalue, and in sterile mixtures,E. coliNAR survived more in mixtures containing nano-zeolite. These results clearly showed that competition and the presence of nutrient resources are the most important factors that control the inactivation of fecal bacteria in soil. These findings could have important implications for soil management and agricultural practices, as well as for the development of new soil remediation strategies.
Serum leptin and adiponectin function as indicators of allergic sensitization in pediatric adenotonsillar hypertrophy
Authors: Li Chaojie , Guo Ruixiang , Liu Yanyan , Yang Yan , Ni Shou jie , Sun Xiaojing , Zhang Yijing , Liu huayang , Zhao Zehua , Li Yanzhong , Zou Juanjuan , Wang Yan , Lei Dapeng 
Published: January 2024

Abstract
Purpose:Obesity is commonly linked to both adenotonsillar hypertrophy (ATH) and allergic disorders, in which the roles of adipokines are not fully illuminated. This study aims to investigate the levels of leptin and adiponectin and their associations with allergic sensitization in pediatric ATH.
Methods: Serum levels of speciﬁc immunoglobulin E (IgE), leptin and adiponectin were quantified in 35 controls and 111 ATH children, in which 54 were non-atopic and 57 were atopic. Spearman’s correlation analysis and polynomial linear trend test were conducted. The odds ratios and 95% conﬁdence intervals were calculated by binary logistic regression after multivariable adjustment.
Results: The serum level of leptin and leptin/adiponectin (L/A) ratio was significantly increased in children with ATH. An increase in leptin level and L/A ratio and a decrease in adiponectin level were observed in atopic children compared with non-atopic children. Among ATH children, the level of adiponectin was negatively while L/A ratio was positively correlated with specific IgE. After multivariable adjustment, leptin was significantly associated with increased risk of atopy to D. pteronyssinus and D. farina, and adiponectin was significantly associated with decreased risk of atopy to willow and mugwort. Leptin was associated with higher odds while adiponectin was associated with lower odds of overall atopy. Besides, signiﬁcant multiplicative interactions of obesity with leptin and adiponectin on atopy were observed respectively.
Conclusion: Leptin and adiponectinwere both associated with allergic sensitization and function differently in pediatric ATH. Mechanistic studies are needed to elucidate the involvement of adipokines in allergic sensitization of pediatric ATH.
Introduction of RCA Pyramid model: A problem solving tool to achieve business excellence
Authors: Jena Madhab Chandra 
Published: January 2024

Abstract

Effective decision-making is a critical aspect of organizational leadership, with leaders dedicating significant time to review and shape the decision-making process. As leaders ascend in organizational hierarchies, their decisions increasingly impact the attitudes and behaviors of employees throughout the organization. Decision-making is a multifaceted process involving problem-solving, option selection, and the cessation of deliberation. Key factors influencing decision-making include the role of decision-makers, deviations from organizational goals, interconnected factors, and the availability of resources. This thesis explores the significance of Root Cause Analysis (RCA) as a methodology for identifying and addressing the root causes of problems in decision-making processes. RCA is a proactive approach aimed at preventing future failures by uncovering the underlying causes of issues. It comprises a systematic five-step process: defining problems, collecting data, analyzing data, identifying root causes, and specifying corrective actions. This research introduces a comprehensive problem-solving model known as the RCA Pyramid Analysis, addressing the limitations of existing RCA tools and providing a unified framework for identifying all causes in a single place. The study employs the RCA Pyramid model in a case study within a fiber cement plant located in Odisha to address the issue of low productivity. The model systematically identifies root causes and formulates an action plan with clear timelines and responsibilities. The results demonstrate significant improvements in productivity, cost of poor quality (COPQ), production cost, waste generation, energy consumption, safety, and environmental impact. This holistic approach to problem-solving, with a focus on root causes, yields far-reaching benefits, including enhanced product quality and employee morale. In conclusion, the RCA Pyramid model offers a robust framework for comprehensive problem-solving, contributing to organizational excellence. The case study exemplifies the model's effectiveness in improving productivity and various performance indicators. This research underscores the importance of systematic methodologies like RCA in addressing complex issues and fostering continuous improvement within organizations.
Hypertension prevalence and cascade of care in Iran: Updates from the STEPs 2021 national and subnational survey
Authors: Heidari-Foroozan Mahsa , Rezaei Negar , Malekpour Mohammad-Reza , Behnoush Amir Hossein , Ahmadi Naser , Abbasi-Kangevari Mohsen , Masinaei Masoud , Azadnajafabad Sina , Ghamari Seyyed-Hadi , Rashidi Mohammad-Mahdi , Keykhaei Mohammad , Golestani Ali , Ghasemi Erfan , Farzi Yosef , Rezaei Nazila , Yoosefi Moein , Abdolhamidi Elham , Haghshenas Rosa , Nasserinejad Maryam , Daneshmand Mojdeh , Kazemi Ameneh , Moghaddam Sahar Saeedi , Rankohi Azadeh Momen Nia , Djalalinia Shirin , Farzadfar Farshad 
Published: January 2024

Abstract

Background
Hypertension (HTN) is rising worldwide. Accurate information about its prevalence, diagnosis, coverage, and control is essential for policymakers to implement effective strategies.
Method
Data were gathered from the nationally representative Iran STEPs 2021 study. ANOVA- test and chi-square were used to compare the prevalence, diagnosis, coverage, and control across the groups. Data were age-standardized. Multiple logistic regression with adjustments was performed. We also used the concentration index with concerning wealth index levels and schooling years.
Results
When using JNC8 guidelines, 32.0% (95% CI: 31.4–32.6), of Iranian adults suffered from HTN and it was more common in women (32.9% (32.1–33.8)) in comparison to men (30.9% (30-31.8)). While prevalence, diagnosis, and coverage were substantially dependent on factors such as socioeconomic status, lifestyle, age, and underlying diseases, control was independent of most of the measured variables. The distributions of HTN prevalence, diagnosis, and treatment were more concentrated in lower wealth index and years of schooling.
Conclusion
The prevalence of HTN in Iran is still high. Due to the grave consequences of hypertension, with it being a major direct and indirect cause of mortality, nationwide strategies to control its uprising prevalence are vital.
Investigating scouring phenomenon in complementary channels with screen plates
Authors: Daneshfaraz Rasoul , Nezafat Hadi , Abbaszadeh Hamidreza , Ebadzadeh Parisa 
Published: January 2024

Abstract
Recognizing the significance of scouring and implementing effective measures to mitigate and control its impact is paramount. This research delves into the examination of scouring downstream of hydraulic structures, employing screen plates as a pivotal component. To serve as energy absorbers, screen plates with varying aperture ratios of 40% and 50% have been strategically positioned at a distance of 1.5 m from the sluice gate. The primary focus is on evaluating the impact of screens on the maximum depth and length of the scour hole. Subsequently, a moving bed comprising particles of three distinct sizes (1.8, 2.6, and 5.2 mm) was selected. The outcomes of the study reveal that key parameters, including the thickness and opening ratio of the screens and their placement distance from the gate, significantly influence scouring. Notably, the maximum and minimum depths and lengths of the scour holes were observed in screens with opening ratios of 40% and 50%, respectively. Consequently, an increase in the opening ratio and thickness of the screens correlates with a reduction in the dimensions of scour holes, suggesting potential strategies for enhancing bridge resilience against scouring effects.
Prognostic value of arterial carbon dioxide tension during cardiopulmonary resuscitation in out-of-hospital cardiac arrest patients receiving extracorporeal resuscitation
Authors: Su Pei-I , Tsai Min-Shan , Chen Wei-Ting , Wang Chih-Hung , Chang Wei-Tien , Ma Matthew Huei-Ming , Chen Wen-Jone , Huang Chien-Hua , Chen Yih-Sharng 
Published: January 2024

Abstract
Background
Current guidelines on extracorporeal cardiopulmonary resuscitation (ECPR) recommend careful patient selection, but precise criteria are lacking. Arterial carbon dioxide tension (PaCO2) has prognostic value in out-of-hospital cardiac arrest (OHCA) patients but has been less studied in patients receiving ECPR. We studied the relationship between PaCO2 during cardiopulmonary resuscitation (CPR) and neurological outcomes of OHCA patients receiving ECPR and tested whether PaCO2 could help ECPR selection.
Methods
This single-centre retrospective study enrolled 152 OHCA patients who received ECPR between January 2012 and December 2020. Favorable neurological outcome (FO) at discharge was the primary outcome. We used multivariable logistic regression to determine the independent variables for FO and generalised additive model (GAM) to determine the relationship between PaCO2 and FO. Subgroup analyses were performed to test discriminative ability of PaCO2 in subgroups of OHCA patients.
Results
Multivariable logistic regression showed that PaCO2 was independently associated with FO after adjusting for other favorable resuscitation characteristics (Odds ratio [OR] 0.23, 95% Confidence Interval [CI] 0.08–0.66, p-value=0.006). GAM showed a near-linear reverse relationship between PaCO2 and FO. PaCO2 <70 mmHg was the cutoff point for predicting FO. PaCO2 also had prognostic value in patients with less favorable characteristics, including non-shockable rhythm (OR, 3.78) or low flow time >60 min (OR, 4.66).
Conclusion
PaCO2 before ECMO implementation had prognostic value for neurological outcomes in OHCA patients. Patients with PaCO2 <70 mmHg had higher possibility of FO, even in those with non-shockable rhythm or longer low-flow duration. PaCO2 could serve as an ECPR selection criterion.
Acacetin targets STING to alleviate the destabilization of the medial meniscus induced osteoarthritis in mice
Authors: Xu Dingjun , Zhang Linjie , Song Chenyu , Zhang Dinglei , Xing Chunlei , Lv Juan , Bian Huihui , Zhu Minyu , Han Minxuan , Yu Yongsheng , Su Li 
Published: January 2024

Abstract

Osteoarthritis (OA), a widespread joint disorder affecting approximately 7% of the global population, is primarily characterized by the gradual loss of articular cartilage. This degeneration results from local inflammation, matrix depletion, and direct cartilage damage. A critical element in this cascade is the activation of the Stimulator of the Interferon Genes (STING) pathway. Emerging evidence underscores its potential as a therapeutic target, with natural products showing promise as inhibitors. This study centers on Acacetin, a basic unit of polyketides known for its anti-inflammatory attributes. Prior research has highlighted its potential interaction with STING based on the structure. Therefore, this study aimed to assess Acacetin's effectiveness as a STING inhibitor and its protective role against OA. In vitro experiments demonstrated that Acacetin pretreatment not only mitigated interleukin-1β (IL-1β)-induced cytotoxicity but also decreased the inflammatory response and degeneration in IL-1β-stimulated chondrocytes. In vivo studies revealed that Acacetin administration significantly reduced articular cartilage destruction, abnormal bone remodeling, and osteophyte formation in a model of OA induced by destabilization of the medial meniscus (DMM). Mechanistically, Acacetin was found to directly interact with STING, and inhibit IL-1β-induced activation of STING and subsequent phosphorylation of the TBK1/NFκB pathway in chondrocytes. In conclusion, our findings confirm that Acacetin is an effective inhibitor of STING, offering protection to chondrocytes against IL-1β-induced damage and attenuating the progression of OA in mice.
Hypergraph regularized nonnegative triple decomposition for multiway data analysis
Authors: Liao Qingshui , Liu Qilong , Razak Fatimah Abdul 
Published: January 2024

Abstract

Tucker decomposition is widely used for image representation, data reconstruction , and machine learning tasks, but the calculation cost for updating the Tucker core is high. Bilevel form of triple decomposition (TriD) overcomes this issue by decomposing the Tucker core into three low-dimensional third-order factor tensors and plays an important role in the dimension reduction of data representation. TriD, on the other hand, is incapable of precisely encoding similarity relationships for tensor data with a complex manifold structure. To address this shortcoming, we take advantage of hypergraph learning and propose a novel hypergraph regu-larized nonnegative triple decomposition for multiway data analysis that employs the hypergraph to model the complex relationships among the raw data. Furthermore , we develop a multiplicative update algorithm to solve our optimization problem and theoretically prove its convergence. Finally, we perform extensive numerical tests on six real-world datasets, and the results show that our proposed algorithm outperforms some state-of-the-art methods.
Functional differentiation and genetic diversity of rice CAX genes and their potential use in rice improvement
Authors: Lian Shangshu , Chen Yanjun , Zhou Yanyan , Feng Ting , Chen Jingsi , Liang Lunping , Qian Yingzhi , Huang Tao , Zhang Chenyang , Wu Fengcai , Zou Wenli , Li Zhikang , Meng Lijun , Li Min 
Published: January 2024

Abstract
CAX genes play an important role in plant growth/development and response to biotic and abiotic stresses. Here, we tried to obtain important information on the functionalities and phenotypic effects of CAX gene family by systematic analyses of their expression patterns, genetic diversity (gene CDS haplotypes, structural variations, gene presence/absence variations) in 3010 rice genomes and nine parents of 496 Huanghuazhan introgression lines, the frequency shifts of the predominant gcHaps at these loci to artificial selection during modern breeding, and their association with tolerances to several abiotic stresses. Significant amounts of variation also exist in the cis-regulatory elements (CREs) of the OsCAX gene promoters in 50 high-quality rice genomes. The functional differentiation of OsCAX gene family were reflected primarily by their tissue and development specific expression patterns and in varied responses to different treatments, by unique sets of CREs in their promoters and their associations with specific agronomic traits/abiotic stress tolerances. Our results indicated that OsCAX1a and OsCAX2 as general signal transporters were in many processes of rice growth/development and responses to diverse environments, but they might be of less value in rice improvement. OsCAX1b, OsCAX1c, OsCAX3 and OsCAX4 was expected to be of potential value in rice improvement because of their associations with specific traits, responsiveness to specific abiotic stresses or phytohormones, and relatively high gcHap and CRE diversity. Our strategy was demonstrated to be highly efficient to obtain important genetic information on genes/alleles of specific gene family and can be used to systematically characterize the other rice gene families.