bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Applying Talking Stick Type Learning Model in Mufrodat Learning
Authors: Habibah Ihda Filzafatin , Abidin Munirul 
Published: July 2023

This study aims to determine the effect of the application of the "Talking Stick" type learning model on improving Mufrodat (Arabic Vocabulary) learning in junior high school students. In this study, researchers used research based on Quasi-Experimental studies by dividing students into two classes, namely the experimental class and the control class. This research is based on several complex problems, namely Arabic learning is still considered as one of the difficult and boring subjects. The results showed that by using the "Talking stick" type of learning model, mufrodat learning in students increased compared to applying the conventional learning model to generally. With this research, it is expected to be a motivation for educators at every level of education to continue and continue to innovate in every application of learning by Models that vary and adapt to the technology of the era that exists today.
Faktor Risiko Penderita Kanker Ovarium di Rumah Sakit Ibnu Sina Makassar
Authors: St.Fatimah St.Fatimah , Latief Shofiyah , Syahruddin Febie Irsandy , Nulanda Mona , Mokhtar Shulhana 
Published: July 2023

Latar Belakang: Berdasarkan data International Agency of Research on Cancer (GLOBOCAN) tahun 2020, tumor ganas atau kanker ovarium memiliki jumlah kasus baru sejumlah 313.959 orang kasus di dunia dengan angka mortalitas sejumlah 207.252 orang. Di Indonesia kasus keganasan ovarium menempati urutan ke 10 sebagai kanker paling umum terjadi dengan kasus baru sebesar 14.979 orang dengan angka mortalitas sebesar 9.581 orang. Faktor-faktor yang dapat meningkatkan risiko kejadian kanker ovarium di antaranya yakni: usia, usia menarche, paritas, riwayat keluarga, Indeks Massa Tubuh (IMT), dan riwayat kontrasepsi. Tujuan: Untuk mengetahui faktor risiko penderita kanker ovarium di Rumah Sakit Ibnu Sina Makassar. Metode Penelitian: Jenis penelitian yang digunakan adalah deskriptif retrospektif study dengan menggunakan desain cross sectional berdasarkan data sekunder dari rekam medik di Rumah Sakit Ibnu Sina Makassar. Hasil Penelitian: Didapatkan distribusi usia terbanyak adalah kelompok usia lebih dari 40 tahun sebanyak 44 pasien (62%), distribusi usia menarche terbanyak adalah lebih dari 12 tahun sebanyak 45 pasien (63,4%), distribusi jumlah paritas terbanyak adalah dengan kriteria ≤2 sebanyak 51 orang (71,8%), distribusi riwayat keluarga terbanyak adalah tidak memiliki riwayat keluarga sebanyak 67 pasien (94,4%), distribusi indeks massa tubuh (IMT) terbanyak adalah kategori normal sebanyak 32 pasien (45,1%), dan distribusi riwayat kontrasepsi terbanyak adalah tidak memiliki riwayat menggunakan kontrasepsi sebanyak 57 pasien (80,3%). Kesimpulan: Faktor risiko kanker ovarium terbanyak ditemukan pada usia lebih dari 40 tahun, usia menarche lebih dari 12 tahun, jumlah paritas ≤2, tidak memiliki riwayat keluarga, indeks massa tubuh (IMT) dalam kategori normal, dan tidak memiliki riwayat kontrasepsi.
Концептуальні погляди щодо розвитку та застосування роботизованих систем в Збройних Силах України (концепція, завдання, класифікація, система управління, виклики щодо застосування, перспективи)
Authors: Semenenko Oleh , Baranov Sergii , Akinina Tetiana , Dobrovolskyi Yuzef , Yarmolchyk Maria , Musiienko Volodymyr 
Published: July 2023

Мета роботи: полягає у визначенні концептуальних поглядів щодо розвитку та застосування роботизованих систем в ЗСУ з визначенням: завдань роботизованих систем за різних підходів їх формування; їх класифікації; системи управління розвитком та застосуванням на різних рівнях організаційної структури ЗСУ; викликів та застережень щодо застосування роботизованих систем та перспектив їх розвитку в ЗСУ.
Метод дослідження: основними методами досліджень є методи: методи аналізу та синтезу; метод порівняння; формалізації; абстрагування та спостереження.
Результати дослідження: Основними результатами статті є: результати аналізу існуючих систем управління розвитком та застосуванням роботизованих (робототехнічних) систем в деяких іноземних країнах; погляди щодо формування концепції розвитку та застосування роботизованих систем в Збройних Силах України; завдання роботизованих систем в ЗСУ за різних підходів їх формування; виклики та застереження щодо застосування роботизованих систем в ЗСУ; погляди щодо формування системи управління розвитком і застосуванням роботизованих систем на різних рівнях організаційної структури ЗСУ.
Теоретична цінність дослідження: теоретична цінність дослідження полягає у визначенні концептуальних поглядів щодо розвитку та застосування роботизованих систем в Збройних Силах України з урахуванням тенденцій їх розвитку у світі та застосування під час російсько-української війни.
Тип статті: аналітичний, теоретично-методичний, описовий.
Outcomes of manually modified microvascular plugs to pulmonary flow restrictors in various congenital heart lesions
Authors: Haddad Raymond N. , Bentham Jamie , Adel Hassan Ahmed , Al Soufi Mahmoud , Jaber Osama , El Rassi Issam , Kasem Mohamed 
Published: July 2023

BackgroundThe development of microvascular plugs (MVPs) has enabled novel transcatheter deliverable endoluminal pulmonary flow restrictors (PFRs) with the potential to treat newborns and infants with life-threatening congenital heart diseases (CHDs) in a minimally invasive manner. We present our experience to evaluate the efficacy of this concept in controlling pulmonary blood flow in various CHDs.MethodsRetrospective clinical data review of patients with CHD and pulmonary over-circulation who received bilateral PFRs percutaneously.ResultsTwenty-eight PFRs (7 MVP-5Q, 12 MVP-7Q, and 9 MVP-9Q) were finally implanted in 14 patients with a median age of 1.6 months (IQR, 0.9–2.3) and a median weight of 3.1 Kg (IQR, 2.7–3.6). Nine patients had large intra-cardiac left-to-right shunts (including 3 with fatal trisomy and palliative programs), 2 had borderline left ventricles, 2 had Taussig-Bing anomaly, and one had a hypoplastic left heart. Four patients had concomitant ductal stenting. Two MVP-5Qs were snare-removed and upsized to MVP-7Q. Patients experienced a significant drop in oxygen saturation and Qp/Qs. All patients were discharged from the ICU after a median of 3.5 days (IQR, 2–5.8) postoperative. Five patients had routine inter-stage catheterization and no device embolization or pulmonary branch distortion was seen. Fourteen (50%) PFRs were surgically explanted uneventfully on a median of 4.3 months (IQR, 1.2–6) post-implantation during biventricular repair in 6 patients and stage-2 palliation in one patient. The latter died 1 month post-operative from severe sepsis. Four patients are scheduled for surgical PFR removal and biventricular repair. Two patients with trisomy 18 died at 1 and 6.8 months post-procedure from non-cardiac causes. One patient with trisomy 13 is alive at 2.7 months post-procedure.ConclusionIt is feasible to bespoke MVPs and implant them as effective PFRs in various CHDs. This approach enables staged left ventricular recruitment, comprehensive stage-2 or biventricular repair with lower risk by postponing surgeries to later infancy. Device explantation is uneventful, and the outcomes afterward are promising.
Cardiac osteosarcoma: a case report and literature review
Authors: Bae Dae-Hwan , Park Sangshin , Kim Min , Kim Sangmin , Choi Woong Gil , Bae Jang-Whan , Hwang Kyung-Kuk , Kim Dong-Woon , Cho Myeong-Chan , Lee Ju-Hee 
Published: July 2023

BackgroundPrimary cardiac tumors are rare, and malignant primary cardiac tumors are even rarer. Cardiac osteosarcoma is a very rare type of malignant primary cardiac tumor with limited reported cases. We present a case report of cardiac osteosarcoma and review its characteristics and the related literature.Case summaryA 44-year-old female patient without a specific medical history presented with intermittent dyspnea that started 1 month prior to presentation. A heterogeneous mass was observed in the left atrium on echocardiography and a large mass was observed in the left atrium on computed tomography. Surgery was performed under the suspicion of atypical cardiac myxoma, and the tumor was successfully removed. However, postoperative histopathological examination revealed cardiac osteosarcoma. The patient underwent chemotherapy and has been well maintained without recurrence for 10 years.ConclusionWe present a case report of the echocardiographic features and treatment strategies for cardiac osteosarcoma, an extremely rare cardiac tumor. Multimodal imaging can be helpful; however, a histological diagnosis through surgical resection is essential. Appropriate treatment and follow-up based on histological findings are necessary.
The responses of soil microbial characteristics to nitrogen addition and biochar amendment in a Larix kaempferi plantation
Authors: Hu Chen , Ma Zhiyuan , Gong Jinyu , Lei Jingpin , Cui Hongxia 
Published: July 2023

Nitrogen (N) deposition is an important environmental factor that can change soil chemical properties. It can also alter the characteristics of microbial communities. The incorporation of biochar into soils is considered a potential strategy to enhance carbon (C) storage in soil and modify the impacts of N deposition. However, the impacts of biochar on the microbial characteristics of soil after short-term N deposition in subtropical plantations remain poorly understood. Here, we investigated the effects of biochar application (0, 5, 10 t ha−1) on soil chemical traits and microbial characteristics (extracellular enzyme activities, microbial community and microbial biomass) in a Larix kaempferi plantation in Shennongjia, China, under N addition (0, 50, 100 kg N ha−1 yr−1) during two growing seasons. We found that simulated N deposition significant increased soil total nitrogen (TN), nitrate nitrogen (NO3−-N) and total phosphorus (TP) concentrations, while heavy N deposition (100 kg N ha−1 yr−1) significant decreased soil microbial biomass nitrogen (MBN) concentration and β-glucosidase (β-GC) activity. Biochar amendment significantly increased soil microbial biomass, TN and soil organic carbon (SOC) concentrations. Both N addition and biochar amendment significantly altered Ascomycota and Basidiomycota relative abundance, with biochar amendment increasing Ascomycota relative abundance and decreasing Mortierellomycota relative abundance under heavy N deposition. Fungal diversity showed a positive correlation to TN, TP and NO3−-N concentrations, but a negative correlation to MBN. Biochar addition inhibited the increase in soil NO3−-N concentration caused by high N addition in the plantation, and influenced the change in the composition of microbial community caused by N addition. Our piecewise structural equation model suggested that N addition affected MBN and fungal diversity directly or indirectly via its effects on soil enzyme activities and properties. In contrast, there were no significant direct or indirect effects on bacterial diversity among all factors. These results improve our understanding of the influence and mechanisms of N addition and biochar amendment on soil microbial characteristics in subtropical coniferous plantations in the short term, and can provide a valuable reference for predicting the future effects of N deposition on soils in this region’s plantation.
Plasma cells are not restricted to the CD27+ phenotype: characterization of CD27-CD43+ antibody-secreting cells
Authors: Covens Kris , Verbinnen Bert , de Jong Britt G. , Moens Leen , Wuyts Greet , Verheyen Geert , Nys Kris , Cremer Jonathan , Smulders Stijn , Schrijvers Rik , Weinhäusel Andreas , Vermeire Séverine , Verschueren Patrick , Langhe Ellen De , van Dongen Jacques J. M. , van Zelm Menno C. , Bossuyt Xavier 
Published: July 2023

Circulating antibody-secreting cells are present in the peripheral blood of healthy individuals reflecting the continued activity of the humoral immune system. Antibody-secreting cells typically express CD27. Here we describe and characterize a small population of antibody-secreting class switched CD19+CD43+ B cells that lack expression of CD27 in the peripheral blood of healthy subjects. In this study, we characterized CD27-CD43+ cells. We demonstrate that class-switched CD27-CD43+ B cells possess characteristics of conventional plasmablasts as they spontaneously secrete antibodies, are morphologically similar to antibody-secreting cells, show downregulation of B cell differentiation markers, and have a gene expression profile related to conventional plasmablasts. Despite these similarities, we observed differences in IgA and IgG subclass distribution, expression of homing markers, replication history, frequency of somatic hypermutation, immunoglobulin repertoire, gene expression related to Toll-like receptors, cytokines, and cytokine receptors, and antibody response to vaccination. Their frequency is altered in immune-mediated disorders.Conclusionwe characterized CD27-CD43+ cells as antibody-secreting cells with differences in function and homing potential as compared to conventional CD27+ antibody-secreting cells.
A risk score combining co-expression modules related to myeloid cells and alternative splicing associates with response to PD-1/PD-L1 blockade in non-small cell lung cancer
Authors: Han Yichao , Liu Si-Yang Maggie , Jin Runsen , Meng Wangyang , Wu Yi-Long , Li Hecheng 
Published: July 2023

BackgroundComprehensive analysis of transcriptomic profiles of non-small cell lung cancer (NSCLC) may provide novel evidence for biomarkers associated with response to PD-1/PD-L1 immune checkpoint blockade (ICB).MethodsWe utilized weighted gene co-expression network analysis (WGCNA) to analyze transcriptomic data from two NSCLC datasets from Gene Expression Omnibus (GSE135222 and GSE126044) that involved patients received ICB treatment. We evaluated the correlation of co-expression modules with ICB responsiveness and functionally annotated ICB-related modules using pathway enrichment analysis, single-cell RNA sequencing, flow cytometry and alternative splicing analysis. We built a risk score using Lasso-COX regression based on hub genes from ICB-related modules. We investigated the alteration of tumor microenvironment between high- and low- risk groups and the association of the risk score with previously established predictive biomarkers.ResultsOur results identified a black with positive correlation and a blue module with negative correlation to ICB responsiveness. The black module was enriched in pathway of T cell activation and antigen processing and presentation, and the genes assigned to it were consistently expressed on myeloid cells. We observed decreased alternative splicing events in samples with high signature scores of the blue module. The Lasso-COX analysis screened out three genes (EVI2B, DHX9, HNRNPM) and constructed a risk score from the hub genes of the two modules. We validated the predictive value of the risk score for poor response to ICB therapy in an in-house NSCLC cohort and a pan-cancer cohort from the KM-plotter database. The low-risk group had more immune-infiltrated microenvironment, with higher frequencies of precursor exhausted CD8+ T cells, tissue-resident CD8+ T cells, plasmacytoid dendritic cells and type 1 conventional dendritic cells, and a lower frequency of terminal exhausted CD8+ T cells, which may explain its superior response to ICB therapy. The significant correlation of the risk score to gene signature of tertiary lymphoid structure also implicated the possible mechanism of this predictive biomarker.ConclusionsOur study identified two co-expression modules related to ICB responsiveness in NSCLC and developed a risk score accordingly, which could potentially serve as a predictive biomarker for ICB response.
Genomic epidemiology of Streptococcus dysgalactiae subsp. equisimilis strains causing invasive disease in Norway during 2018
Authors: Kaci Alba , Jonassen Christine M. , Skrede Steinar , Sivertsen Audun ,   The Norwegian Study Group on Streptococcus dysgalactiae, Steinbakk Martin , Oppegaard Oddvar 
Published: July 2023

BackgroundStreptococcus dysgalactiae subspecies equisimilis (SDSE) is an emerging global pathogen, yet the epidemiology and population genetics of SDSE species have not been extensively characterized.MethodsWe carried out whole genome sequencing to characterize 274 SDSE isolates causing bloodstream infections obtained through national surveillance program in 2018. We conducted multilocus sequence typing (MLST), emm-typing, core genome phylogeny, as well as investigated key features associated with virulence. Moreover, comparison to SDSE from other geographic regions were performed in order to gain more insight in the evolutionary dynamics in SDSE.ResultsThe phylogenetic analysis indicated a substantial diversity of emm-types and sequence types (STs). Briefly, 17 emm-types and 58 STs were identified that formed 10 clonal complexes (CCs). The predominant ST-types were ST20 (20%), ST17 (17%), and ST29 (11%). While CC17 and CC29 clades showed a substantial heterogeneity with well-separated emm-associated subclades, the CC20 clade harboring the stG62647 emm-type was more homogenous and the most prevalent in the present study. Moreover, we observed notable differences in the distribution of clades within Norway, as well as several disseminated CCs and also distinct geographic variations when compared to data from other countries. We also revealed extensive intra-species recombination events involving surface exposed virulence factors, including the emm gene important for phylogenetic profiling.ConclusionRecombination events involving the emm as well as other virulence genes in SDSE, are important mechanisms in shaping the genetic variability in the SDSE population, potentially offering selective advantages to certain lineages. The enhanced phylogenetic resolution offered by whole genome sequencing is necessary to identify and delimitate outbreaks, monitor and properly characterize emerging strains, as well as elucidate bacterial population dynamics.
Saccharomyces boulardii protects against murine experimental colitis by reshaping the gut microbiome and its metabolic profile
Authors: Gao Hui , Li Yinzheng , Xu Jiqu , Zuo Xuezhi , Yue Tiantian , Xu Huzi , Sun Jie , Wang Meng , Ye Ting , Yu Yan , Yao Ying 
Published: July 2023

IntroductionSaccharomyces boulardii (S. boulardii) has shown clinical beneficial effect in inflammatory bowel diseases recently. However, the underlying mechanisms remain incompletely understood. The aim of present study was to tested whether S. boulardii targets gut microbiota to protect against the development of experimental colitis in mice.MethodsFemale C57BL/6 mice were gavaged with S. boulardii for 3 weeks before being challenged with dextran sulphate sodium to induce ulcerative colitis. Bodyweight, diarrhea severity, intestinal permeability, colonic histopathology, colonic inflammatory status, and epithelial cell death of mice were examined. The fecal microbiota and its metabolomic profiles were detected by 16S rDNA sequencing and UPLC-MS, respectively.Results and DiscussionSupplementation with S. boulardii significantly prevented weight loss and colon shortening, lowered colonic inflammation, ameliorated epithelial injury, and enhanced the intestinal barrier integrity in colitis mice. By inhibiting the abundance of pathogenic bacteria and increasing the probiotics abundance, S. boulardii improved the microbial diversity and restored the microbiota dysbiosis. Moreover, it also modulated microbial metabolome and altered the relative contents of metabolites involving amino acids, lipids, energy and vitamin metabolisms. These yeast-driven shifts in gut flora and metabolites are were associated with each other and with the inflammation profile in colitis. Collectively, S. boulardii exerts protective effects on colitis in mice by reshaping gut microbiome and its metabolic profile, indicating it as a promising therapeutic avenue.
Rapid identification of bacteria using a multiplex polymerase chain reaction system for acute abdominal infections
Authors: Kakizaki Nanako , Asai Koji , Kuroda Makoto , Watanabe Ryutaro , Kujiraoka Manabu , Sekizuka Tsuyoshi , Katagiri Miwa , Moriyama Hodaka , Watanabe Manabu , Saida Yoshihisa 
Published: July 2023

PurposeAcute abdominal infections can be fatal if the causative organism (s) are misidentified. The spread of antimicrobial-resistant bacteria has become a serious problem worldwide, making antibiotic selection extremely difficult. Using quantitative metagenomic analysis, we evaluated a commercial multiplex polymerase chain reaction (PCR) system (FilmArray™, bioMérieux, Marcy-l’Étoile, France) for the rapid identification of causative bacteria.MethodsThe cases of 10 patients with acute abdominal infections were enrolled in this retrospective study. There were six cases of perforated peritonitis and four cases of intraabdominal abscess. Fluid collected from the acute surgical abdominal infections were examined.ResultsAll specimens tested positive for microorganisms in culture, and six involved two or more microorganisms. Using the multiplex PCR system, nine of ten specimens were found to involve at least one microorganism. One specimen was not included in the multiplex PCR system panel. Nineteen of 21 microorganisms (90.5%) isolated by culture were detected by the multiplex PCR system. Microorganisms with very small numbers of reads (19 reads) were detectable.ConclusionThis multiplex PCR system showed a high detection rate for causative microorganisms in ascites and intraabdominal abscesses. This system may be suitable as an affordable rapid identification system for causative bacteria in these cases.
Identifying SARS-CoV-2 infected cells with scVDN
Authors: Hu Huan , Feng Zhen , Shuai Xinghao Steven , Lyu Jie , Li Xiang , Lin Hai , Shuai Jianwei 
Published: July 2023

IntroductionSingle-cell RNA sequencing (scRNA-seq) is a powerful tool for understanding cellular heterogeneity and identifying cell types in virus-related research. However, direct identification of SARS-CoV-2-infected cells at the single-cell level remains challenging, hindering the understanding of viral pathogenesis and the development of effective treatments.MethodsIn this study, we propose a deep learning framework, the single-cell virus detection network (scVDN), to predict the infection status of single cells. The scVDN is trained on scRNA-seq data from multiple nasal swab samples obtained from several contributors with varying cell types. To objectively evaluate scVDN’s performance, we establish a model evaluation framework suitable for real experimental data.Results and DiscussionOur results demonstrate that scVDN outperforms four state-of-the-art machine learning models in identifying SARS-CoV-2-infected cells, even with extremely imbalanced labels in real data. Specifically, scVDN achieves a perfect AUC score of 1 in four cell types. Our findings have important implications for advancing virus research and improving public health by enabling the identification of virus-infected cells at the single-cell level, which is critical for diagnosing and treating viral infections. The scVDN framework can be applied to other single-cell virus-related studies, and we make all source code and datasets publicly available on GitHub at https://github.com/studentiz/scvdn.