bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing a risk assessment tool for cancer-related venous thrombosis in China: a modified Delphi-analytic hierarchy process study
Authors: Qin Xiaoli , Gao Xiurong , Yang Yujie , Ou Shunlong , Luo Jing , Wei Hua , Jiang Qian 
Published: January 2024

Abstract
Objective
To develop a Risk Assessment Tool for Cancer-related Venous Thrombosis in China.

Methods
A modified two-round Delphi method was employed to establish consensus within a field to reach an agreement via a questionnaire or by interviewing a multidisciplinary panel of experts by collecting their feedback to inform the next round, exchanging their knowledge, experience, and opinions anonymously, and resolving uncertainties. Furthermore, The AHP (Analytic Hierarchy Process) was used to determine the final quality indicators’ relative importance.

Results
The expert’s positive coefficient was 85.19% in the first round and 82.61% in the second round, with authoritative coefficients of 0.89 and 0.92 in the respective surveys. The P-value of Kendall’s W test was all less than 0.001 for each round, and the W-value for concordance at the end of the two rounds was 0.115. The final Risk Assessment Tool for Cancer-related Venous Thrombosis consisted of three domains, ten subdomains, and 39 indicators, with patient factors weighing 0.1976, disease factors weighing 0.4905, and therapeutic factors weighing 0.3119.

Conclusion
The tool is significantly valid and reliable with a strong authority and coordination degree, and it can be used to assess the risk of cancer-related VTE and initiate appropriate thrombophylactic interventions in China.
Identification of a novel m6A-related lncRNAs signature and immunotherapeutic drug sensitivity in pancreatic adenocarcinoma
Authors: Li Xia-Qing , Yin Shi-Qi , Chen Lin , Tulamaiti Aziguli , Xiao Shu-Yu , Zhang Xue-Li , Shi Lei , Miao Xiao-Cao , Yang Yan , Xing Xin 
Published: January 2024

Abstract
Background
Pancreatic adenocarcinoma (PDAC) ranks as the fourth leading cause for cancer-related deaths worldwide. N6-methyladenosine (m6A) and long non-coding RNAs (lncRNAs) are closely related with poor prognosis and immunotherapeutic effect in PDAC. The aim of this study is to construct and validate a m6A-related lncRNAs signature and assess immunotherapeutic drug sensitivity in PDAC.

Methods
RNA-seq data for 178 cases of PDAC patients and 167 cases of normal pancreatic tissue were obtained from TCGA and GTEx databases, respectively. A set of 21 m6A-related genes were downloaded based on the previous report. Co-expression network was conducted to identify m6A-related lncRNAs in PDAC. Cox analyses and least absolute shrinkage and selection operator (Lasso) regression model were used to construct a risk prognosis model. The relationship between signature genes and immune function was explored by single-sample GSEA (ssGSEA). The tumor immune dysfunction and exclusion (TIDE) score and tumor mutation burden (TMB) were utilized to evaluate the response to immunotherapy. Furthermore, the expression levels of 4 m6A-related lncRNAs on PDAC cell lines were measured by the quantitative real-time PCR (qPCR). The drug sensitivity between the high- and low-risk groups was validated using PDAC cell lines by Cell-Counting Kit 8 (CCK8).

Results
The risk prognosis model was successfully constructed based on 4 m6A-related lncRNAs, and PDAC patients were divided into the high- and low-risk groups. The overall survival (OS) of the high-risk groups was more unfavorable compared with the low-risk groups. Receiver operating characteristic (ROC) curves demonstrated that the risk prognosis model reasonably predicted the 2-, 3- and 5-year OS of PDAC patients. qPCR analysis confirmed the decreased expression levels of 4 m6A-related lncRNAs in PDAC cells compared to the normal pancreatic cells. Furthermore, CCK8 assay revealed that Phenformin exhibited higher sensitivity in the high-risk groups, while Pyrimethamine exhibited higher sensitivity in the low-risk groups.

Conclusion
The prognosis of patients with PDAC were well predicted in the risk prognosis model based on m6A-related lncRNAs, and selected immunotherapy drugs have potential values for the treatment of pancreatic cancer.
The effect of parental regulatory focus on the loneliness stigma of college children
Authors: Fan Zhiguang , Shi Xiaoli , Zhang Wei , Zhang Bin 
Published: January 2024

Abstract
Background
The present study aimed to examine the relationship between regulatory focus and loneliness stigma, as well as the intergenerational transmission of the two. Specifically, the study analyzed the effects of fathers’ and mothers’ regulatory focus on their own and their spouses’ stigma of loneliness. In addition, a mediation model was constructed to explore how parents’ regulatory focus influences their children’s stigma of loneliness and the potential mediating mechanisms involved.

Methods
Questionnaires were distributed to 470 college students and their parents, employing the Regulatory Focus Questionnaire (RFQ) and the Stigma of Loneliness Scale (SLS) to collect data.

Results
The analysis of intergenerational transmission effects revealed that parents’ regulatory focus and loneliness stigma significantly and positively predicted children’s regulatory focus and loneliness stigma, respectively. The Actor-Partner Interdependence Model (APIM) elucidated that both fathers’ and mothers’ promotion focus exerted significant influence on both actor and partner’s loneliness stigma. Furthermore, the mediation model analysis indicated that parents’ loneliness stigma, along with children’s regulatory focus operate as mediators in the influence of parental regulatory focus on loneliness stigma of their college-aged offspring.

Conclusions
From a familial context, this study, investigated the association between regulatory focus and loneliness stigma, along with the mediating roles within parent-child groups and couples. The findings enhanced our comprehension of the interrelation between regulatory focus and loneliness stigma, underpinned by empirical evidence.
The association between adipokines and pulmonary diseases: a mendelian randomization study
Authors: Wu Dongcai , Wang Ziyuan , Wang Keju , Wang Yuhan , Wang Tan 
Published: January 2024

Abstract
Background
The role of adipokines in the development of lung diseases is significant, yet their specific relationship with different lung diseases remains unclear.

Methods
In our research, we analyzed genetic variations associated with adipokines and various lung conditions such as interstitial lung disease, chronic obstructive pulmonary disease, asthma, lung cancer, sleep apnea, pneumonia, and tuberculosis, using data from public genome-wide studies. We employed Mendelian randomization techniques, including inverse variance weighting, weighted median, and MR-Egger regression methods, and conducted sensitivity checks to validate our findings.

Results
A study using the FinnGen database, which included 198,955 participants, identified 13 SNPs associated with adiponectin. Notably, adiponectin was found to significantly reduce the risk of interstitial lung disease and idiopathic pulmonary fibrosis. However, little evidence was found to establish a direct cause-effect relationship between the six adipokines and several other lung conditions, including sarcoidosis, asthma, chronic obstructive pulmonary disease, lung cancer, tuberculosis, pneumonia, and sleep apnea syndrome.

Conclusion
This study reveals a reverse link between adiponectin levels and the likelihood of interstitial lung disease, including idiopathic pulmonary fibrosis.
What affects the selection of diverting ileostomy in rectal cancer surgery: a single-center retrospective study
Authors: Wang Zhen , Guo Yuchen , Li Shuang , He Liang , Zhao Yinquan , Wang Quan 
Published: January 2024

Abstract
Background
The selection of diverting ileostomy (DI) is controversial. This study aimed to explore the factors affecting the selection of diverting ileostomy (DI) following laparoscopic low anterior resection for rectal cancer.

Methods
This retrospective, case-control study included patients who underwent laparoscopic-assisted sphincter-saving surgery for mid-low rectal cancer from January 2019 to June 2021. Univariate and multivariate analyses were performed on the patient’s clinicopathological characteristics and pelvic dimensions measured by abdominopelvic electron beam computed tomography.

Results
A total of 382 patients were included in the analysis, of which 182 patients (47.6%) did not undergo DI, and 200 patients (52.4%) underwent DI. The univariate analysis suggested that male sex (p = 0.003), preoperative radiotherapy (p < 0.001), patients with an anastomosis below the levator ani plane (p < 0.001), the intertuberous distance (p < 0.001), the sacrococcygeal distance (p = 0.025), the mid pelvis anteroposterior diameter (p = 0.009), and the interspinous distance (p < 0.001) were associated with performing DI. Multivariate analysis confirmed that preoperative radiotherapy (p = 0.037, odds ratio [OR] = 2.98, 95% confidence interval [CI] = 1.07–8.30), anastomosis below the levator ani plane (p < 0.001, OR = 7.09, 95% CI = 4.13–12.18), and the interspinous distance (p = 0.047, OR = 0.97, 95% CI = 0.93-1.00) were independently associated with performing DI.

Conclusion
Pelvic parameters also influence the choice of DI. According to this single-center experience, patients with a shorter interspinous distance, particularly narrow pelvic with an interspinous distance of < 94.8 mm, preoperative radiotherapy, and anastomosis below the levator ani plane, prefer to have a DI and should be adequately prepared by the physician.
Etiology, consequences, and solutions of working women’s work-life conflict: a qualitative study
Authors: Hosseini Zahra , Rahimi Seyyede Fateme , Salmani Fatemeh , Miri Mohammad Reza , Aghamolaei Teamur , Dastjerdi Reza 
Published: January 2024

Abstract
Introduction
Work-life conflict (WLC) is important in organizational behavior research and human resource management. The present research aimed to investigate the underlying causes, consequences, and solutions to WLC in Iranian working women.

Materials and methods
The present qualitative study was conducted through a content analysis method among 19 working married women in Birjand, a city in the east of Iran, from December 2021 to February 2022. To collect the data, semi-structured interviews were held. The average interview time was 45 minutes, and all interviews were recorded upon the participants’ consent. Finally, after coding, the information was analyzed with MAXQDA software.

Findings
The causes of conflict included 4 main categories of individual, interpersonal, organizational, and cultural factors, with seven subcategories: the pressure of the mother’s role at home, personality traits, lack of individual skills, insufficient support, work characteristics, organizational policies, and the traditional role of women in society.
The consequences of conflict included 2 main categories, Decreasing quality of life and work problems with 4 subcategories: physical and mental illnesses, forgetting one’s role towards others, limiting social communication, and reducing productivity.
Conflict resolution methods included 3 main classes of individual-oriented, other-oriented, and organization-oriented with 8 subclasses: program-oriented, meaning-oriented, emotion-oriented, avoidance, emotional support, instrumental and work support, support work policies, and correct management views.

Conclusion
To solve the problem of conflict, different aspects should be considered and help to solve this challenge by influencing each dimension.
Machine learning to predict unintended pregnancy among reproductive-age women in Ethiopia: evidence from EDHS 2016
Authors: Mamo Daniel Niguse , Gebremariam Yosef Haile , Adem Jibril Beshir , Kebede Shimels Derso , Walle Agmasie Damtew 
Published: January 2024

Abstract
Background
An unintended pregnancy is a pregnancy that is either unwanted or mistimed, such as when it occurs earlier than desired. It is one of the most important issues the public health system is currently facing, and it comes at a significant cost to society both economically and socially. The burden of an undesired pregnancy still weighs heavily on Ethiopia. The purpose of this study was to assess the effectiveness of machine learning algorithms in predicting unintended pregnancy in Ethiopia and to identify the key predictors.

Method
Machine learning techniques were used in the study to analyze secondary data from the 2016 Ethiopian Demographic and Health Survey. To predict and identify significant determinants of unintended pregnancy using Python software, six machine-learning algorithms were applied to a total sample of 7193 women. The top unplanned pregnancy predictors were chosen using the feature importance technique. The effectiveness of such models was evaluated using sensitivity, specificity, accuracy, and area under the curve.

Result
The ExtraTrees classifier was chosen as the top machine learning model after various performance evaluations. The region, the ideal number of children, religion, wealth index, age at first sex, husband education, refusal sex, total births, age at first birth, and mother’s educational status are identified as contributing factors in that predict unintended pregnancy.

Conclusion
The ExtraTrees machine learning model has a better predictive performance for identifying predictors of unintended pregnancies among the chosen algorithms and could improve with better policy decision-making in this area. Using these important features to help direct appropriate policy can significantly increase the chances of mother survival.
Mitigation of intrahepatic cholestasis induced by 17α-ethinylestradiol via nanoformulation of Silybum marianum L.
Authors: Salem Maha B. , Mohammed Dina Mostafa , Hammam Olfat A. , Elzallat Mohamed 
Published: January 2024

Abstract
Background
Cholestasis is an important predisposing factor for hepatocyte damage, liver fibrosis, primary biliary cirrhosis, and even liver failure. Silybum marianum L. (SM) plant is used in teas or eaten in some countries due to its antioxidant and hepatoprotective properties. Because of its low and poor oral bioavailability, so we improve the therapeutic activity of Silybum marianum L. extract (SM) by studying the potential effects of nanoformulation of Silybum marianium L. extract (nano-SM) on 17α-ethinylestradiol (EE)-induced intrahepatic cholestasis.

Methods
Thirty female Sprague-Dawley rats were divided into 5 groups (6 rats/group). Group I: Rats were received the treatment vehicle and served as normal group. Group II:Rats were injected daily with EE (10 mg/kg) for five successive days. Group III-V: Rats were injected daily with EE (10 mg/kg) and treated with either Ursodeoxycholic acid (UDCA) (40 mg/kg), SM (100 mg/kg) and nano-SM (100 mg/kg) orally once/day throughout the trialfor five successive days, respectively.

Results
Nano-SM greatly dampened the increase in serum levels of total and direct bilirubin, alanine aminotransaminase, aspartate aminotransaminase, and alkaline phosphatase caused by EE. Furthermore, nano-SM increased the hepatic contents of reduced glutathione (GSH) and catalase (CAT) and also upregulated the relative hepatic gene expressions of Rho-kinase (ROCK-1), myosin light chain kinase (MLCK), and myosin phosphatase target subunit (MYPT1) compared to the EE-induced group. Administration of nano-SM reduced hepatic lipid peroxidation and downregulated the relative hepatic expressions of the nuclear factor-kappa B (NF-ҡB) and interleukin-1β (IL-1β). In addition, nano-SM improved the histopathological changes induced by EE.

Conclusion
Nano-SM possessed a superior effect over SM, which can be considered an effective protective modality against EE-induced cholestatic liver injury through its antioxidant, anti-inflammatory activities, and enhancing bile acid (BA) efflux.
The impact of public leadership on collaborative administration and public health delivery
Authors: Zia ud din Muhammad , Yuan yuan Xu , Ullah Khan Naqib , Estay Christophe 
Published: January 2024

AbstractBackgroundThis research depicts the linkage of public leadership on public health delivery (PHD) and collaborative administration. The research is also focused to examine the effect of public leadership on public health delivery through the intervening variable of collaborative administration by using both social information processing theory and collaboration theory.MethodsThis research is based on quantitative method. Data was collected from 464 public hospital administration in the context of Pakistan. This study evaluated data using SPSS, AMOS, and PROCESS Macro.ResultsPublic leadership has a positive profound effect on public health delivery and collaborative administration, and that collaborative administration significantly promotes public health delivery. The outcomes also exposed that public leadership has substantial influence on public health delivery through intervening collaborative administration.ConclusionsWhilst public leadership demonstrated positive outcomes on public health delivery and collaborative administration, there is a need for more rigor studies on collaborative governance leadership, collaborative ethics and collaborative norms in the public health service.
Development of preimplantation genetic testing for monogenic reference materials using next-generation sequencing
Authors: Zhao Weihua , Song Yanyan , Huang Chuanfeng , Xu Shan , Luo Qi , Yao Runsi , Sun Nan , Liang Bo , Fei Jia , Gao Fangfang , Huang Jie , Qu Shoufang 
Published: January 2024

Abstract
Objective
Preimplantation genetic testing for monogenic disorders (PGT-M) has been used for over 20 years to detect many serious genetic conditions. However, there is still a lack of reference materials (RMs) to validate the test performance during the development and quality control of PGT-M.

Method
Sixteen thalassemia cell lines from four thalassemia families were selected to establish the RMs. Each family consisted of parents with heterozygous mutations for α- and/or β-thalassemia and two children, at least one of whom carried a homozygous thalassemia mutation (proband). The RM panel consisted of 12 DNA samples (parents and probands in 4 families) and 4 simulated embryos (cell lines constructed from blood samples from the four nonproband children). Four accredited genetics laboratories that offer verification of thalassemia samples were invited to evaluate the performance of the RM panel. Furthermore, the stability of the RMs was determined by testing after freeze‒thaw cycles and long-term storage.

Results
PGT-M reference materials containing 12 genome DNA (gDNA) reference materials and 4 simulated embryo reference materials for thalassemia testing were successfully established. Next-generation sequencing was performed on the samples. The genotypes and haplotypes of all 16 PGT-M reference materials were concordant across the four labs, which used various testing workflows. These well-characterized PGT-M reference materials retained their stability even after 3 years of storage.

Conclusion
The establishment of PGT-M reference materials for thalassemia will help with the standardization and accuracy of PGT-M in clinical use.
Adipokines in atopic dermatitis: the link between obesity and atopic dermatitis
Authors: Zhang Shiyun , Zhang Bingjie , Liu Yuehua , Li Li 
Published: January 2024

AbstractAtopic dermatitis (AD) is a chronic skin condition with intense pruritus, eczema, and dry skin. The recurrent intense pruritus and numerous complications in patients with AD can profoundly affect their quality of life. Obesity is one of its comorbidities that has been confirmed to be the hazard factor of AD and also worsen its severity. Nevertheless, the specific mechanisms that explain the connection between obesity and AD remain incompletely recognized. Recent studies have built hopes on various adipokines to explain this connection. Adipokines, which are disturbed by an obese state, may lead to immune system imbalances in people with AD and promote the development of the disease. This review focuses on the abnormal expression patterns of adipokines in patients with AD and their potential regulatory molecular mechanisms associated with AD. The connection between AD and obesity is elucidated through the involvement of adipokines. This conduces to the in-depth exploration of AD pathogenesis and provides a new perspective to develop therapeutic targets.
CD44-targeting hyaluronic acid-selenium nanoparticles boost functional recovery following spinal cord injury
Authors: Luo Wenqi , Li Yueying , Zhao Jianhui , Niu Renrui , Xiang Chunyu , Zhang Mingyu , Xiao Chunsheng , Liu Wanguo , Gu Rui 
Published: January 2024

Abstract
Background
Therapeutic strategies based on scavenging reactive oxygen species (ROS) and suppressing inflammatory cascades are effective in improving functional recovery after spinal cord injury (SCI). However, the lack of targeting nanoparticles (NPs) with powerful antioxidant and anti-inflammatory properties hampers the clinical translation of these strategies. Here, CD44-targeting hyaluronic acid-selenium (HA-Se) NPs were designed and prepared for scavenging ROS and suppressing inflammatory responses in the injured spinal cord, enhancing functional recovery.

Results
The HA-Se NPs were easily prepared through direct reduction of seleninic acid in the presence of HA. The obtained HA-Se NPs exhibited a remarkable capacity to eliminate free radicals and CD44 receptor-facilitated internalization by astrocytes. Moreover, the HA-Se NPs effectively mitigated the secretion of proinflammatory cytokines (such as IL-1β, TNF-α, and IL-6) by microglia cells (BV2) upon lipopolysaccharide-induced inflammation. In vivo experiments confirmed that HA-Se NPs could effectively accumulate within the lesion site through CD44 targeting. As a result, HA-Se NPs demonstrated superior protection of axons and neurons within the injury site, leading to enhanced functional recovery in a rat model of SCI.

Conclusions
These results highlight the potential of CD44-targeting HA-Se NPs for SCI treatment.