bluuebunny/crossref_metadata_2025_split huggingface dataset:
Jewish Diversity in Israel
Authors: Rebhun Uzi 
Published: September 2023

Abstract
This article explores complementary dimensions of Jewish diversity in Israel. In the past two decades Jews have evolved in polarising directions: whereas the fringes of ultra-Orthodox and the secular widened, the traditional middle narrowed. Within each sector, religious identification across an individual's life cycle is dynamic, with the ultra-Orthodox and religious bolstering their religiosity and the secular and traditional moving away from any religious patterns. Alongside some significant differences among the religious sectors in attitudes and behaviours, such as the importance of being Jewish or the observance of ongoing rituals, there are broad consensuses on matters of belonging to the Jewish people, the importance of remembering the Holocaust, and the celebration of the major Jewish holidays. Still, Israeli society sees disagreements over values and institutions that the state should maintain, and over tension between Judaism and democracy. The discussion assesses differences in religious identity between Israel and Europe and the implications of this for European Jewry.
Захворюваність на COVID-19 та її вплив на смертність у хворих з легеневою артеріальною гіпертензією та хронічною тромбоемболічною легеневою гіпертензією
Authors: Sirenko Yu. M. , Radchenko G. D. , Torbas O. O. , Botsiuk Yu. A. , Rekovets O. L. 
Published: September 2023

The aim – the COVID-19 pandemic influenced seriously on people life in all of the world, including patients with such hard-chronic diseases like pulmonary hypertensions. The aim of our study was to evaluate the COVID-19 morbidity and its influence on mortality during the first 13 pandemic months in patients with pulmonary arterial hypertension (PAH) and chronic thromboembolic pulmonary hypertension (CTEPH). Materials and methods. We provided the retrospective analysis of the patient data which were included in the center register before 31 March 2021. The evaluation of COVID-19 morbidity and mortality rate was done for the period between 01 March 2020 and 31 March 2021 (the period without active vaccination in Ukraine). The information about virus disease had to be confirmed by source documents. Results and discussion. Till 31 March 2021 the data of 494 patients with PAH/CTEPH were included in the register. 75 (15.2 %) patients died. During the follow-up period 44 patients suffered from COVID-19 (10.2 % among all (n=433) who were alive at 01 March 2020 or included in register after 01 March 2020). The most patients (91 %) with COVID-19 had the pneumonia, but only 9 (20.5 %) were hospitalized and 4 (9.1 %) were moved to the intensive care unit and died. In general PAH/CTEPH cohort the mortality rate was 2.9 % during the first 13 months of the pandemic. It did not significant differ with mortality rates in previous years, except 2015 year when the mortality rate was 12.3 %.Conclusion. The COVID-19 mortality was higher in pulmonary hypertensive patients in comparison with general Ukrainian population. But COVID-19 pandemic did not influence significantly on mortality rate in general PAH/CTEPH cohort during the first 13 pandemic months.
Integrating mind and body: Investigating differential activation of nodes of the default mode network
Authors: Linchevski Inbal , Maimon Amber , Golland Yulia , Zeharia Noa , Amedi Amir , Levit-Binnun Nava 
Published: September 2023

Background: The default mode network (DMN) is a large-scale brain network tightly correlated with self and self-referential processing, activated by intrinsic tasks and deactivated by externally-directed tasks. Objective: In this study, we aim to investigate the novel approach of default mode activation during progressive muscle relaxation and examine whether differential activation patterns result from the movement of different body parts. Methods: We employed neuroimaging to investigate DMN activity during simple body movements, while performing progressive muscle relaxation. We focused on differentiating the neural response between facial movements and movements of other body parts. Results: Our results show that the movement of different body parts led to deactivation in several DMN nodes, namely the temporal poles, hippocampus, medial prefrontal cortex (mPFC), and posterior cingulate cortex. However, facial movement induced an inverted and selective positive BOLD pattern in some of these areas precisely. Moreover, areas in the temporal poles selective for face movement showed functional connectivity not only with the hippocampus and mPFC but also with the nucleus accumbens. Conclusions: Our findings suggest that both conceptual and embodied self-related processes, including body movements during progressive muscle relaxation, may be mapped onto shared brain networks. This could enhance our understanding of how practices like PMR influence DMN activity and potentially offer insights to inform therapeutic strategies that rely on mindful body movements.
A Recombinase-Aided Amplification Assay for the Detection of Chlamydia felis
Authors: Liu Jian , Qian Weidong , Wang Jian , Bai Yilan , Gui Yaping , Xia Luming , Gong Guohua , Ge Feifei , Shen Haixiao , Chang Xiaojing , Zhao Hongjin 
Published: September 2023

Abstract

Chlamydia felis is an important zoonotic agent for humans and various animals. A recombinase-aided amplification (RAA) assay was developed for detecting C. felis. RAA can be performed in a closed tube at 39°C within 30 min. The detection limit was 10.6 copies of the C. felis plasmid DNA per reaction. No positive signals for other pathogens were detected. The coincidence rate of RAA and conventional PCR was 95.24% (20/21) and 100% (96/96) for positive and negative samples, respectively. The established RAA assay is a simple, rapid, highly sensitive, and specific method for detecting C. felis.
PENERAPAN MODEL PROBLEM BASED LEARNING BERBANTUAN ALAT PERAGA SEDERHANA UNTUK MENINGKATKAN HASIL BELAJAR KELAS VIII SMPN 04 KOTA BENGKULU
Authors: Hidayati Latifa Nurliyan , Yensy Nurul Astuty 
Published: September 2023

Penelitian ini bertujuan untuk meningkatkan hasil belajar dan aktivitas belajar peserta didik Kelas VIII SMP Negeri 04 Kota Bengkulu dengan menerapkan model Problem Based Learning berbantuan alat peraga sederhana dalam mengelola kelas. Jenis penelitian ini adalah penelitian tindakan kelas (PTK) dengan 4 tahapan yaitu perencanaan, pelaksanaan tindakan, observasi dan refleksi. Subjek penelitian ini adalah peserta didik Kelas VIII 4 SMP Negeri 04 Kota Bengkulu semester ganjil tahun ajaran 2022/2023 yang berjumlah 34 orang peserta didik. Pengumpulan data penelitian dilakukan dengan menggunakan lembar observasi aktivitas belajar peserta didik dan lembar tes akhir siklus. Peningkatan aktivitas belajar peserta didik dapat dilihat dari hasil observasi aktivitas belajar peserta didik yaitu pada siklus 1 aktivitas peserta didik berada pada kriteria cukup aktif, sedangkan pada siklus 2 aktivitas peserta didik menjadi aktif. Peningkatan hasil belajar peserta didik dapat dilihat dari skor rata-rata hasil belajar peserta didik dari siklus I sampai siklus II yaitu: 72,9; 80,0.
ASESMEN PEMBELAJARAN SEKOLAH DASAR DALAM KURIKULUM MERDEKA
Authors: Mujiburrahman Mujiburrahman , Kartiani Baiq Sarlita , Parhanuddin Lalu 
Published: September 2023

Assessment or assessment is a series of activities carried out systematically continuously which is used as a collection of information about the learning process and outcomes of students to obtain decisions based on certain criteria and considerations. The purpose of implementing learning assessment is as an effort to collect and process information to find out the learning needs, developmental achievements and learning outcomes of students. The method used is historical research or documentary study by collecting various information through news, through official government documents, and so on. The results of this study are known that the assessment used in elementary schools refers to Permendikbud No. 21 of 2022, namely formative assessment and summative assessment. A formative session is carried out at the beginning of the learning process while a summative assessment is carried out at the end of the learning activity. The independent curriculum has a big vision to create a happy and quality learning and learning atmosphere. With the aim of creating fun education, exploring the potential of teachers and students, developing the potential of students, catching up and improving the quality of learning independently.
A porous form Coomassie brilliant blue G250-isorhamnetin fluorescent composite coated with acrylic resin for tumor cell imaging
Authors: Hu Jiangpeng , Teng Bo , Xu Zhipeng , Wan Yuanye , Jin Guofan 
Published: September 2023

Four distinct fluorescence complexes, the fluorescent complex-1 (FC-1), fluorescent complex-2 (FC-2), fluorescent complex third (FC-3) and fluorescent complex fourth (FC-4), were created using isorhamnetin and Coomassie brilliant blue G250 as raw materials. The issue of isorhamnetin’s low solubility has been resolved, and isorhamnetin-coomassie brilliant blue G250 now has better biocompatibility. Four different forms of fluorescence compounds’ ultraviolet absorption spectra were identified. It was discovered that FC-2, FC-3, and FC-4, respectively, had double peaks at 483–620 nm. FC-4 had the highest ultraviolet absorption intensity, whereas FC-1 exhibited the most consistent and longest wavelength of ultraviolet absorption. Transmission electron microscopy revealed that the acrylic resin evenly disseminated the Coomassie brilliant blue G250-isorhamnetin complex in an amorphous flocculent form. Human prostate cancer cells (PC3) and human cervical cancer cells (HeLa) were investigated in the (Cell Counting Kit-8) CCK8 experiment under 10 different concentration circumstances, and the proliferation impact was 64.30% and 68.06%, respectively. Shown the complex’s strong anti-tumor properties and minimal cytotoxicity. Through in vitro imaging of tumor cells, it was found that FC-1’s fluorescent complex has high selectivity and can accurately infiltrate tumor cells, proving that it is biocompatible. The design not only addresses the issue of isorhamnein-Coomassie Bright Blue G250’s bioavailability, but it also has an effective visual fluorescence targeting effect.
The gut microbiota as a potential biomarker for methamphetamine use disorder: evidence from two independent datasets
Authors: Liu Linzi , Deng Zijing , Liu Wen , Liu Ruina , Ma Tao , Zhou Yifang , Wang Enhui , Tang Yanqing 
Published: September 2023

BackgroundMethamphetamine use disorder (MUD) poses a considerable public health threat, and its identification remains challenging due to the subjective nature of the current diagnostic system that relies on self-reported symptoms. Recent studies have suggested that MUD patients may have gut dysbiosis and that gut microbes may be involved in the pathological process of MUD. We aimed to examine gut dysbiosis among MUD patients and generate a machine-learning model utilizing gut microbiota features to facilitate the identification of MUD patients.MethodFecal samples from 78 MUD patients and 50 sex- and age-matched healthy controls (HCs) were analyzed by 16S rDNA sequencing to identify gut microbial characteristics that could help differentiate MUD patients from HCs. Based on these microbial features, we developed a machine learning model to help identify MUD patients. We also used public data to verify the model; these data were downloaded from a published study conducted in Wuhan, China (with 16 MUD patients and 14 HCs). Furthermore, we explored the gut microbial features of MUD patients within the first three months of withdrawal to identify the withdrawal period of MUD patients based on microbial features.ResultsMUD patients exhibited significant gut dysbiosis, including decreased richness and evenness and changes in the abundance of certain microbes, such as Proteobacteria and Firmicutes. Based on the gut microbiota features of MUD patients, we developed a machine learning model that demonstrated exceptional performance with an AUROC of 0.906 for identifying MUD patients. Additionally, when tested using an external and cross-regional dataset, the model achieved an AUROC of 0.830. Moreover, MUD patients within the first three months of withdrawal exhibited specific gut microbiota features, such as the significant enrichment of Actinobacteria. The machine learning model had an AUROC of 0.930 for identifying the withdrawal period of MUD patients.ConclusionIn conclusion, the gut microbiota is a promising biomarker for identifying MUD and thus represents a potential approach to improving the identification of MUD patients. Future longitudinal studies are needed to validate these findings.
Application of machine learning and artificial intelligence in the diagnosis and classification of polycystic ovarian syndrome: a systematic review
Authors: Barrera Francisco J. , Brown Ethan D.L. , Rojo Amanda , Obeso Javier , Plata Hiram , Lincango Eddy P. , Terry Nancy , Rodríguez-Gutiérrez René , Hall Janet E. , Shekhar Skand 
Published: September 2023

IntroductionPolycystic Ovarian Syndrome (PCOS) is the most common endocrinopathy in women of reproductive age and remains widely underdiagnosed leading to significant morbidity. Artificial intelligence (AI) and machine learning (ML) hold promise in improving diagnostics. Thus, we performed a systematic review of literature to identify the utility of AI/ML in the diagnosis or classification of PCOS.MethodsWe applied a search strategy using the following databases MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, the Web of Science, and the IEEE Xplore Digital Library using relevant keywords. Eligible studies were identified, and results were extracted for their synthesis from inception until January 1, 2022.Results135 studies were screened and ultimately, 31 studies were included in this study. Data sources used by the AI/ML interventions included clinical data, electronic health records, and genetic and proteomic data. Ten studies (32%) employed standardized criteria (NIH, Rotterdam, or Revised International PCOS classification), while 17 (55%) used clinical information with/without imaging. The most common AI techniques employed were support vector machine (42% studies), K-nearest neighbor (26%), and regression models (23%) were the commonest AI/ML. Receiver operating curves (ROC) were employed to compare AI/ML with clinical diagnosis. Area under the ROC ranged from 73% to 100% (n=7 studies), diagnostic accuracy from 89% to 100% (n=4 studies), sensitivity from 41% to 100% (n=10 studies), specificity from 75% to 100% (n=10 studies), positive predictive value (PPV) from 68% to 95% (n=4 studies), and negative predictive value (NPV) from 94% to 99% (n=2 studies).ConclusionArtificial intelligence and machine learning provide a high diagnostic and classification performance in detecting PCOS, thereby providing an avenue for early diagnosis of this disorder. However, AI-based studies should use standardized PCOS diagnostic criteria to enhance the clinical applicability of AI/ML in PCOS and improve adherence to methodological and reporting guidelines for maximum diagnostic utility.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42022295287.
Association between estradiol levels in early pregnancy and risk of preeclampsia after frozen embryo transfer
Authors: Hsieh Yun-Chiao , Kao Tzu-Ching , Yang Ih-Jane , Yang Po-Kai , Chao Kuang-Han , Chen Mei-Jou , Yang Jehn-Hsiahn , Chen Shee-Uan 
Published: September 2023

IntroductionThe failure of remodeling the spiral arteries is associated with the pathogenesis of preeclampsia. Estradiol (E2) plays a crucial role in placentation and may be involved in the development of preeclampsia. However, there is a lack of data in this area. This study aims to assess the association between serum estradiol levels in early pregnancy and the risk of preeclampsia.MethodsWe conducted a retrospective cohort study on patients who conceived after frozen embryo transfer (FET) using data from a database at a university-affiliated in vitro fertilization center. The study period spanned from January 1, 2010, to December 31, 2020. Multivariable logistic regression analyses were performed to determine the adjusted effect of E2 levels on the risk of preeclampsia. We compared the odds ratios of preeclampsia across quartiles of E2 levels and assessed their significance.ResultsSerum E2 levels at the fifth gestational week were significantly different between women with and without preeclampsia after FET programmed cycles (607.5 ± 245.4 vs. 545.6 ± 294.4 pg/ml, p=0.009). A multivariable logistic regression model demonstrated that E2 levels in early pregnancy were independent risk factors for preeclampsia. We observed an increased odds ratio of preeclampsia with increasing quartiles of estradiol levels after adjusting for potential confounders in FET programmed cycles. When comparing quartiles 3 and 4 (E2 &gt; 493 pg/ml at the fifth gestational week) to quartiles 1 and 2, the odds ratios of preeclampsia were significantly higher.ConclusionWe found that serum E2 levels in early pregnancy may impact the risk of preeclampsia, particularly following FET programmed cycles. The association between E2 levels in early pregnancy and preeclampsia deserves further investigation.
Unkeito promotes follicle development by restoring reduced follicle-stimulating hormone responsiveness in rats with polycystic ovary syndrome
Authors: Yoshita Sayako , Osuka Satoko , Shimizu Tomofumi , Fujitsuka Naoki , Matsumoto Chinami , Bayasula  , Miyake Natsuki , Muraoka Ayako , Nakanishi Natsuki , Nakamura Tomoko , Goto Maki , Kajiyama Hiroaki 
Published: September 2023

BackgroundPolycystic ovary syndrome (PCOS) is a common disorder resulting in irregular menstruation and infertility due to improper follicular development and ovulation. PCOS pathogenesis is mediated by downregulated follicle-stimulating hormone receptor (FSHR) expression in granulosa cells (GCs); however, the underlying mechanism remains elusive. Unkeito (UKT) is a traditional Japanese medicine used to treat irregular menstruation in patients with PCOS. In this study, we aimed to confirm the effectiveness of UKT in PCOS by focusing on follicle-stimulating hormone (FSH) responsiveness.MethodsA rat model of PCOS was generated by prenatal treatment with 5α-dihydrotestosterone. Female offspring (3-week-old) rats were fed a UKT mixed diet or a normal diet daily. To compare the PCOS phenotype in rats, the estrous cycle, hormone profiles, and ovarian morphology were evaluated. To further examine the role of FSH, molecular, genetic, and immunohistological analyses were performed using ovarian tissues and primary cultured GCs from normal and PCOS model rats.ResultsUKT increased the number of antral and preovulatory follicles and restored the irregular estrous cycle in PCOS rats. The gene expression levels of FSHR and bone morphogenetic protein (BMP)-2 and BMP-6 were significantly decreased in the ovarian GCs of PCOS rats compared to those in normal rats. UKT treatment increased FSHR staining in the small antral follicles and upregulated Fshr and Bmps expression in the ovary and GCs of PCOS rats. There was no change in serum gonadotropin levels. In primary cultured GCs stimulated by FSH, UKT enhanced estradiol production, accompanied by increased intracellular cyclic adenosine monophosphate levels, and upregulated the expression of genes encoding the enzymes involved in local estradiol synthesis, namely Cyp19a1 and Hsd17b. Furthermore, UKT elevated the expression of Star and Cyp11a1, involved in progesterone production in cultured GCs in the presence of FSH.ConclusionsUKT stimulates ovarian follicle development by potentiating FSH responsiveness by upregulating BMP-2 and BMP-6 expression, resulting in the recovery of estrous cycle abnormalities in PCOS rats. Restoring the FSHR dysfunction in the small antral follicles may alleviate the PCOS phenotype.
Integrated energy system optimization and scheduling method considering the source and load coordinated scheduling of thermal-storage electric boilers and electric vehicles
Authors: Yang Yulong , Wu Xinge , Zhang Ziye , Jin Rong , Zhang Chong , Li Songyuan , Yi Pengyu 
Published: September 2023

The northern regions of China face the challenges of the mismatch of the power supply and demand, as well as serious wind curtailment issues, caused mainly by the limitation of the “with heat to determine electricity” mode for combined heat and power generation during the winter season. To further absorb the surplus wind power and alleviate restrictions, a comprehensive energy system optimization method for parks based on coordinated scheduling between sources and loads is proposed in this paper. First, the implementation of a heat-storage electric boiler on the source side further achieves the decoupling of heat and power. Second, an optimized scheduling method for electric vehicles combining incentive scheduling and orderly scheduling is proposed on the load side, which helps flatten the load curve. Finally, a tiered carbon trading mechanism is introduced and a community integrated energy system (CIES) optimization scheduling model is established with the aim of minimizing the total cost of the CIES, and the problem is solved using the CPLEX commercial solver. The simulation results indicate that the overall system efficiency is significantly improved through the coordinated scheduling of power sources and loads. Specifically, the integration rate of wind power increases by 3.91% when compared to the sole consideration of the integrated demand response. Furthermore, the peak shaving and off-peak filling effect is considerably enhanced compared to the utilization of only thermal-storage electric boilers. Additionally, the implementation of coordinated scheduling leads to a reduction in the total system cost by 2764.32 yuan and a decrease in total carbon emissions by 3515.4 kg. These findings provide compelling evidence that the coordinated scheduling of power sources and loads surpasses the limitations of thermal power units, strengthens the demand response capability of electric vehicles, and enhances the economic benefits of the CIES.
Correlation between pseudotyped virus and authentic virus neutralisation assays, a systematic review and meta-analysis of the literature
Authors: Cantoni Diego , Wilkie Craig , Bentley Emma M. , Mayora-Neto Martin , Wright Edward , Scott Simon , Ray Surajit , Castillo-Olivares Javier , Heeney Jonathan Luke , Mattiuzzo Giada , Temperton Nigel James 
Published: September 2023

BackgroundThe virus neutralization assay is a principal method to assess the efficacy of antibodies in blocking viral entry. Due to biosafety handling requirements of viruses classified as hazard group 3 or 4, pseudotyped viruses can be used as a safer alternative. However, it is often queried how well the results derived from pseudotyped viruses correlate with authentic virus. This systematic review and meta-analysis was designed to comprehensively evaluate the correlation between the two assays.MethodsUsing PubMed and Google Scholar, reports that incorporated neutralisation assays with both pseudotyped virus, authentic virus, and the application of a mathematical formula to assess the relationship between the results, were selected for review. Our searches identified 67 reports, of which 22 underwent a three-level meta-analysis.ResultsThe three-level meta-analysis revealed a high level of correlation between pseudotyped viruses and authentic viruses when used in an neutralisation assay. Reports that were not included in the meta-analysis also showed a high degree of correlation, with the exception of lentiviral-based pseudotyped Ebola viruses.ConclusionPseudotyped viruses identified in this report can be used as a surrogate for authentic virus, though care must be taken in considering which pseudotype core to use when generating new uncharacterised pseudotyped viruses.