bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of YouTube and Family on Religiusity Behavior and Pro-Social Behavior of Teenagers in The City of Sidoarjo
Authors: Rofiva Nadhifah Amaliah Putri , Rochmaniah Ainur 
Published: October 2023

YouTube social media is one part of changes in technological advances that provide information openly to its users, so that it can indirectly have an impact, especially among teenagers. Given how YouTube's social media is very easy to access by various groups, this research aims to analysis the impact that the use of YouTube and family social media has on religious behavior and pro-social behavior of teenagers, especially in the city of Sidoarjo. This type of research is quantitative with 140 young respondents in Sidoarjo City, which was taken by random sampling technique. The data obtained in this study were obtained from filling out and distributing questionnaires. The research was completed using multiple regression analysis with the SPSS Statistics application. The results of data processing show that the impact of YouTube and family social media on religious behavior in adolescents in Sidoarjo City has a correlation coefficient of 0.695 and a coefficient of determination of 0.483 at a significance of α (0.05). Meanwhile, the impact of social media YouTube and family on pro-social behavior in adolescents in Sidoarjo City has a correlation coefficient of 0.632 and a coefficient of determination of 0.399 at a significance of α (0.05). So it can be concluded that there is an impact of YouTube and family social media on religiosity and prosocial behavior in adolescents in Sidoarjo City.
A Novel Multifactor Type-2 Fuzzy Time Series Model based on Improved Fuzzy C-means Algorithm and Justifiable Granularity for Stock Index Forecasting
Authors: Gong Zengtai , Feng Jindong 
Published: October 2023

Abstract
Fuzzy time series (FTS) models have been widely used in prediction tasks due to their excellent ability to deal with uncertain and nonlinear problems. However, type-1 fuzzy set has limitations in dealing with uncertainty in some real-world problems, so an increasing number of intelligent systems adopt type-2 fuzzy set to better solve problems such as data noise and linguistic ambiguity. In this study, we propose a novel stock index forecasting model based on type-2 fuzzy set and a variable size interval partitioning technique. Firstly, constructing information granules with enhanced effectiveness and interpretability based on fuzzy C-means (FCM) clustering algorithm and principle of justifiable granularity to partition the universe of discourse. The FCM algorithm in this model obtains the optimal clustering result by adopting interval type-2 fuzzy approach to adjust the fuzzy parameter m in FCM. Secondly, in order to improve forecasting performance, three observations of stock index are modeled as type-2 fuzzy set to obtain a group of refined first-order fuzzy relationships. To evaluate the performance of this model, we implement experiments using six benchmark datasets collected from Taiwan Stock Exchange Index (TAIEX), and calculate the corresponding root mean square error (RMSE) as the evaluation criteria. Compared with nine representative time series forecasting approaches, experimental results show that our model can not only guarantee the effectiveness and robustness but also obtain enhanced prediction performance.
“Stop, pause and take a break”: A mixed methods study of the longer- term outcomes of digital emotional wellbeing training for perinatal women
Authors: Davis Jacqueline , Ohan Jeneva L , Bear Natasha , Gibson Lisa , Silva Desiree , Prescott Susan , Finlay-Jones Amy 
Published: October 2023

Abstract

Background:
Maternal psychological distress is related to poorer physical and mental health as well as child developmental problems. Interventions that optimise maternal mental health and wellbeing during the “first 1,000 days” of life should have wide-reaching benefits for the mother and her child. Digital mental health interventions (DMHIs) during this critical period have the potential to equip women with enhanced coping strategies that can be applied and maintained in daily life. This study aimed to understand uptake of DMHIs in pregnancy, and the extent participants apply intervention strategies 10-12 months post-participation in a pilot randomised controlled trial (RCT) comparing different digital programs.
Methods:
A mixed methods triangulation approach was undertaken. We explored demographic data and psychological distress measures in the intervention groups and a comparison group that were offered the intervention but did not participate or did not meet the inclusion criteria based on gestational age (n=525). Intervention participants (n=54) were invited to undertake an interview up to 12 months post-intervention to understand ongoing skills application. Fifteen interviews were undertaken using a phenomenological approach to analyse the data.
Results:
Baseline psychological distress results showed a significant difference between those who enrolled in the intervention, compared to those who did not, with higher psychological distress (combined), and stress and depression (sub-scale) scores for the intervention groups. Qualitative content analysis identified four main themes relating to long-term engagement: (1) Motivations to use skills; (2) Taking time for oneself; (3) Emotional support; and (4) Improving wellbeing (such as aids sleep and emotional impacts). Within each theme there were a number of sub-themes, including enablers or barriers to engagement.
Conclusions:
This study indicated that women who chose to enrol in DMHIs in pregnancy have greater psychological distress than those who chose not to participate. Many participants in this study continued to apply learnt skills in everyday life. This implies that digital strategies may be effective and applicable longer-term to enable women to apply positive coping skills in everyday life during critical child developmental periods. Ultimately, this will contribute to designing apps that sustain wellbeing and could be protective in preventing postnatal psychological distress.
Trial Registration:
Australian New Zealand Clinical Trials Registry Number (ACTRN12620000672954p); (12/06/2020)
http://anzctr.org.au/ACTRN12620000672954p.aspx
Psychometric Validation of the Simplified Chinese Version of FACT-Hep for Patients with Hepatocellular Carcinoma Based on Classical Test Theory and Generalizability Theory
Authors: Wan Chonghua , Chen Ying , Ma Wanrui , Meng Qiong , Li Gaofeng , Cun Yingli 
Published: October 2023

Abstract

Background: Quality of life (QOL) is now concerned worldwide in cancer clinical fields, with the specific scales for hepatocellular carcinoma patients in China being seldom and no formal validation of the Chinese Version of the FACT-Hep.
Objective: This study was aimed to validate the Chinese FACT-Hep based on Combinations of Classical Test Theory and Generalizability Theory.
Methods: 114 in-patients with hepatocellular carcinoma were measured three times before and after treatments using the FACT-Hep. The FACT-Hep was evaluated by indicators of Cronbach α, Pearson r, intra-class correlation (ICC), and standardized response mean. The Generalizability Theory was also applied to addresses the dependability of measurements deeply by estimation of multiple sources of variance.
Results: The Cronbach’s α coefficients were greater than 0.70 for all domains, and test-retest reliability coefficients were greater than 0.80 (exception of EWB 0.74) with the range of 0.81-0.96. The domains of PWB, FWB and the overall scale had significant changes after treatments with SRM ranging from 0.40 to 0.69. G-coefficients and Ф-coefficients confirmed the reliability of the scale further with exact variance components.
Conclusions: The Chinese version of FACT-Hep can be used to measure QOL for patients with hepatocellular carcinoma in China with good psychometric properties.
Developing And Implementing A Quality Improvement Curriculum In A Large Internal Medicine Residency Program
Authors: Adhyaru Bhavin , Doyle Joyce , Bussey-Jones Jada , Jones Danielle , DiFrancesco Lorenzo , Fluker Shelly Ann , Gitomer Richard , Ilksoy Nurcan 
Published: October 2023

Abstract

Background: The delivery of chronic care is increasingly complex, and the need for physicians who are competent in system-based practice and quality improvement (QI) is evident. Organizations like the American Board of Internal Medicine and the Accreditation Council for Graduate Medical Education have included QI knowledge in their recertification and accreditation requirements
Objective: The goal of this curriculum is to give internal medicine residents a working knowledge of the Model for Improvement by carrying out a QI project over an academic year.
Methods: A longitudinal QI curriculum was developed, providing residents with QI skills. Each resident participated in interactive seminars as well as a faculty-mentored, team-based QI project. Success of the curriculum was measured by the formal evaluation of each improvement team’s end-of-the-year poster presentation.
Results: Between 2007 and 2016, the curriculum covered over 120 year-long team projects. A pre-survey included 51 PGY-1 residents (59% respondent rate) and a post-survey includes 50 PGY-2 and PGY-3 residents (46% respondent rate) used as part of evaluation demonstrated increased comfortability leading a QI project and overall knowledge of QI principles. We continue a modified version of the curriculum after 2016 as the residency program changed to a x+y model and impacts of the COVID-19 pandemic.
Conclusion: Implementing a performance improvement curriculum based in a resident continuity clinic is feasible and affords several advantages. In applying QI methodologies, residents learn how to measure adherence with current evidence-based medicine guidelines and develop interventions to maintain positive momentum within the reality of busy clinical practice.
Coccidioides posadasii and SARS-CoV-2 Co-infection in the K18-hACE2 Transgenic Mouse Model
Authors: Kollath Daniel , Grill Francisca , Itogawa Ashley , Fabio-Braga Ana , Morales Matthew , Shepardson Kelly , Bryant Mitchell , Yi Jinhee , Ramsey Marieke , Luberto Emily , Celona Kimberly R. , Settles Erik W. , Lake Douglas , Keim Paul , Barker Bridget 
Published: October 2023

Abstract
Early reports showed that patients with COVID-19 who had a previous diagnosis of Coccidioidomycosis (Valley fever, VF) who had cleared VF months and years prior had re-emergence of VF after COVID-19. However, total numbers of annual cases reported to CDC did not appear to rise dramatically. We therefore investigated serial infection of Coccidioides posadasii (C.p.) and variants of SARS-CoV2 in an K18-hACE2 transgenic mouse to assess the impact on disease outcomes. We intranasally challenged mice sequentially with sub-lethal doses of 100 plaque forming units (PFUs) per mouse of SARS-CoV-2 (variants WA-1, Delta, Omicron BA1) and 24 hours later with 100 arthroconidia per mouse of a low virulence Coccidioides posadasii strain 1038 and vice versa. Lungs, brain, and spleen were extracted and cultured to assess fungal burden and half of the lung was saved for histopathology. To assess pathogenesis, we repeated experiment but sacrificed a subset of mice on days 1, 3, 5, and 6 post-infections in order to assess viral/fungal burden in the lungs. Serum was collected at each time point to measure differences in systemic cytokine/chemokine responses. Experiments were conducted under IACUC protocol # 21-025 at Northern Arizona University. We examined differences in disease outcome between the co-infected groups and groups that only received a primary infection. Co-infected groups had a more severe disease progression as well as decreased survival. Interestingly, results differed depending on SARS-CoV-2 variant (WA-1, Delta, Omicron), infection timing (CoV2 first, C.p. second or vice versa). The groups that were infected with the virus first had decreased survival, increased morbidity (significant weight loss), and increased fungal and viral burdens. There were also differences in immune responses and number/size of spherules, the virus first groups had an increase in circulating pro-inflammatory cytokines and larger more abundant spherules. This is the first in vivo investigation of a co-infection of SARS-CoV-2 and Coccidioides to date. Because of the increased severity of disease, we contemplate the serious implications to the populations that live in areas of high fungal burden and how the SARS-CoV-2 virus can complicate disease progression.
DNMT1 regulates human erythropoiesis by modulating cell cycle and endoplasmic reticulum stress in a stage-specific manner
Authors: Wang Ting , Yang Qianqian , Chen Lixiang , Zhang Hengchao , Li Mengjia , Sun Lei , Wu Xiuyun , Zhao Huizhi , Qu Xiaoli , An Xiuli 
Published: October 2023

Abstract

The dynamic balance of DNA methylation and demethylation is required for erythropoiesis. Our previous transcriptomic analyses revealed that DNA methyltransferase 1 (DNMT1) is abundantly expressed in erythroid cells at all developmental stages. However, the role and molecular mechanisms of DNMT1 in human erythropoiesis remain unknown. Here we found that DNMT1 deficiency led to cell cycle arrest of erythroid progenitors which was partially rescued by treatment with a p21 inhibitor UC2288. Mechanically, this is due to decreased DNA methylation of p21 promoter, leading to upregulation of p21 expression. In contrast, DNMT1 deficiency led to increased apoptosis during terminal stage by inducing endoplasmic reticulum (ER) stress in a p21 independent manner. ER stress was attributed to the upregulation of RPL15 expression due to the decreased DNA methylation at RPL15 promoter. The upregulated RPL15 expression subsequently caused a significant upregulation of core ribosomal proteins (RPs) and thus ultimately activated all branches of unfolded protein response (UPR)leading to the excessive ER stress, suggesting a role of DNMT1 in maintaining protein homeostasis during terminal erythroid differentiation. Furthermore, the increased apoptosis was significantly rescued by the treatment of ER stress inhibitor TUDCA. Our findings demonstrate the stage-specific role of DNMT1 in regulating human erythropoiesis and provide new insights into regulation of human erythropoiesis.
Gestational hypothyroxinemia causes autistic-like behaviors, increases proinflammatory traits, and alters glutamatergic protein expression in mouse adult offspring of both sexes.
Authors: González-Madrid Enrique , Rangel-Ramírez María Andreina , Opazo María C. , Méndez Luis , Bueno Susan M. , González Pablo A. , Kalergis Alexis M. , Riedel Claudia A. 
Published: October 2023

Abstract
Prevalence of autism spectrum disorder (ASD) has increased over the past three decades. In this regard, there is growing evidence suggesting that environmental factors during pregnancy may contribute as risk factors for ASD, potentially playing a role in this rising trend. Gestational hypothyroxinemia (HTX) is an asymptomatic and frequent thyroid condition characterized by low levels of thyroxine (T4) in blood, with normal range of T3 and TSH. When this condition occurs in early pregnancy it impairs fetal neurodevelopment and diminishes cognitive capacities in the offspring. Additionally, retrospective human studies have shown that gestational HTX is associated with autistic outcomes in the offspring, however, there is an absence of knowledge about the cellular and molecular autism-like traits in the offspring gestated under gestational HTX (HTX-offspring). In this work, autistic-like phenotypes were evaluated in HTX-offspring, using a mouse model of gestational HTX. Consistent with autism-like behaviors of mice models, HTX-offspring exhibited anxiety-related behavior and impaired social interaction skills. Similar to humans, these features were more pronounced in male HTXoffspring. At the molecular level, the expression of NLGN3 and HOMER1 was increased in the prefrontal cortex and hippocampus of male HTX-offspring, compared to the offspring gestated under euthyroidism. Moreover, HTX-offspring showed increased proinflammatory cytokines in serum and an increased ratio of Th17 lymphocytes relative to T regulatory lymphocytes (Th17/Treg), as well as high neuroinflammatory-like traits in the prefrontal cortex and hippocampus, which were also more pronounced in male HTX-offspring. Notably, by administering T4 to pregnant mice during the induction of HTX, the offspring was protected from developing the observed autism-like traits. These findings support that gestational HTX constitutes a significant risk factor for the development of autism-like phenotypes in the offspring and strongly emphasizes the importance of monitoring thyroid function in early pregnancy.
Electroacupuncture Ameliorate Juvenile Collagen-Induced Arthritis by Regulating M1 Macrophages and Pyroptosis Signaling Pathways
Authors: Khadour Fater , Khadour Younes A. , Ebrahem Bashar M , Liu Jiawei , Xu Tao 
Published: October 2023

Abstract
Background: Electroacupuncture (EA) exerts significant effects in clinic, such as anti-inflammation, immune regulation, joint-related diseases, anti-cancer, etc. However, the mechanism by which EA protects juvenile idiopathic arthritis (JIA) is obscure. Thus, we explored the protective mechanisms in the juvenile collagen-induced arthritis (CIA) rat model deeply and investigated the effect of EA against synovial inflammation and whether this effect depends on the regulation of macrophage polarization.Methods: Sprague-Dawley (SD) rats (3–4 weeks) were used to establish the collagen-induced arthritis (CIA) model. The CIA rats received EA treatment once a day from day 21 of modeling, with the treatment lasting for four weeks. The anti-arthritic and anti-inflammatory effects of EA were studied using arthritis score, Immunostaining, Quantitative real-time PCR (qPCR), Western blotting (WB) and enzyme-linked immunosorbent assay (ELISA). The related pro/anti-inflammatory cytokines were detected by ELISA, qPCR, and WB. Western blotting was used to investigate the effect of EA on NLRP3, GSDMD, and Caspase-1 in the joint synovial tissues.Results: We found that EA inhibited joint inflammation, cartilage damage, and bone destruction in CIA rats. EA effectively alleviated the high expression of inflammatory cytokines in synovial tissue in vivo. EA treatment shifted macrophages from the M1 phenotype to the M2 phenotype. The expression of inducible nitric oxide synthase (iNOS) and other proinflammatory cytokines released by M1 macrophages was decreased in the EA group. However, simultaneously, the expression of markers of anti-inflammatory M2 macrophages, such as arginase (Arg)-1 and interleukin (IL)-10, was increased. In addition, EA treatment attenuated pyroptosis by downregulating the expression of NLRP3, GDSMD, and caspase-1, thereby preventing inflammatory cell death resulting from the release of IL-1β and IL-18.Conclusion: EA can effectively improve joints inflammation of juvenile collagen-induced arthritis rats by inhibiting M1 phenotype polarization and pyroptosis pathway in the joint synovial tissues.
The up-regulation of PAK2 indicates unfavorable prognosis in patients with serous epithelial ovarian cancer and contributes to paclitaxel resistance in ovarian cancer cells.
Authors: Shuang Ting , Wu Shiyun , Zhao Yifei , Yang Yanqi , Pei Meili 
Published: October 2023

Abstract
The main challenge in the treatment of ovarian cancer has been the development of resistance to chemotherapy. Previous studies have reported over-expression of PAK2 in various cancers through different mechanisms. The objective of this study was to investigate whether up-regulation of PAK2 contributes to chemo-resistance and poor prognosis in ovarian cancer. Bioinformatics analysis was initially employed and revealed a significant up-regulation of PAK2 in ovarian malignant tumors compared to adjacent tissues, particularly in patients with stage III-IV disease compared to those with stage I-II disease (P = 0.0056). High expression of PAK2 was associated with decreased OS, but not DFS, in ovarian cancer patients. Immunohistochemistry demonstrated positive expression of PAK2 in chemo-resistant serous EOC tissues, predominantly localized in the cytoplasm, which correlated with poor OS and DFS. In vitro studies indicated that inhibition of PAK2 expression in A2780/Taxol cells resulted in reduced colony formation, increased apoptosis, and impaired cell migration. Finally, RNA Binding Protein Immunoprecipitation (RIP) Assay and luciferase reporter assays were employed which confirmed that lnc-SNHG1 acts as a competing endogenous RNA (ceRNA) by binding to miR-216b-5p and subsequently modulating the expression of PAK2. In conclusion, our study confirmed that PAK2 may serve as a predictive marker for chemo-resistance and poor prognosis in ovarian cancer and could potentially be targeted therapeutically to overcome chemo-resistance.
Genetics and Pathologic Landscape of Lineage Switch of Acute Leukemia during Therapy: A Multi-institutional Study
Authors: Hu Shimin , Zhou Ting , Curry Choladda , khanlari Mahsa , Shi Min , Cui Wei , Peker Deniz , Chen Weina , Wang Endi , Gao Juehua , Shen Qi , Xie Wei , King Rebecca , Ji Yuan , Wang Xiaoqiong , Zhao Chen , Obiorah Ifeyinwa , Courville Elizabeth , Nomura Eric , Cherian Sindhu , Xu Mina , Burack Richard , Takahashi Koichi , Wang Wei , Wang Sa , Khoury Joseph , Medeiros L. 
Published: October 2023

Abstract
The dismal outcome of acute leukemia undergoing immunophenotype-switch, compounded by the increased incidence in the era of immunotherapy, highlights the need for in-depth systemic studies. We investigated the clinicopathological, cytogenetic, and molecular features of 33 patients experiencing switch between acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). The median duration from the primary diagnosis to lineage switch was 7.8 months, with the subsequent median survival being < 3 months. The majority experienced a transition from B-ALL to AML. The AML cases demonstrated a spectrum of differentiation, ranging from minimal to erythroid, with monocytic being the most common. Cytogenetic analysis revealed 11q23/KMT2A fusions as the most recurrent abnormalities (n = 18); also observed were complex karyotype, 7/7q-, 9p-/CDKN2A deletion, t(5;14)/TCLX3::BCL11b, t(8;9)/PCM1::JAK2, t(9;22)/BCR::ABL1, and t(12;19)/TCF3::ZNF384. Remarkably, in 60% of patients lacking KMT2A fusions, a chronic myeloid neoplasm was observed preceding the first leukemia. In contrast, no prior hematological malignancies were observed in KMT2A cases. Deep mutational profiling reinforced the inherent clonal relationship between the initial and subsequent leukemias, evident from the overlapping mutational signatures. The presence of distinct additional mutations across the two phases supports the long-standing theory of lineage switch emerging via divergent evolution of a multipotential progenitor.