bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effectiveness of the osteopathic correction in the complex treatment of adult patients with gastroesophageal reﬂux disease
Authors: Naletova T. P. , Udintsev E. P. , Oreshko A. Yu. , Chusovitina O. A. 
Published: April 2021

Introduction. Gastroesophageal reﬂux disease (GERD) is now widespread throughout the world, with clear evidence of incidence increase in many countries. The importance of GERD is caused by the fact that it leads to a signiﬁcant decrease in the patient′s life quality, the appearance of extraesophageal symptoms (chest pain, persistent cough) and the risk of such complications as bleeding from ulcers and erosions, the development of peptic strictures, and esophageal adenocarcinoma. After stopping the medicine treatment, the relapse quickly occurs and it is the main risk factor for the development of Barrett′s esophagus — a precancerous pathology of the esophagus. Therefore, the search for additional, non-drug methods of treatment for increasing the standard therapy effectiveness is in demand. Osteopathic correction of somatic dysfunction can be one of these methods. To date, there is some evidence of the osteopathic correction effectiveness in children with GERD.The goal of research — to study the effectiveness of osteopathic correction in the complex treatment of adult patients with GERD.Materials and methods. The study involved 20 people, divided by simple randomization into two equal groups: control and main. The control group received standard treatment, the main group received additional osteopathic correction. At the beginning and at the end of the study, there were assessed the osteopathic status of patients and the severity of the disease using the GerdQ questionnaire. The obtained data were processed by methods of nonparametric statistics.Results. The inclusion of osteopathic correction in the complex treatment of patients with GERD is accompanied by a statistically signiﬁcant decrease in the number of local and regional somatic dysfunctions (SD), a signiﬁcant redistribution of the dominant SD structure, and a decrease in the severity of previously dominant SD in the neck and thoracic region. Compared with patients who did not receive osteopathic correction, there is a statistically signiﬁcantly more pronounced decrease in the severity of GERD clinical symptoms.Conclusion. Despite the relatively small number of patients who participated in the study, the obtained results make it possible to recommend the inclusion of osteopathic correction in the complex therapy of patients with GERD.
Pengaruh Mata Kuliah Pengukuran Besaran Listrik (PBL) Teori Terhadap Hasil Praktikum Pengukuran Besaran Listrik (PBL) Ditinjau dari Motivasi Belajar Mahasiswa IT - PLN
Authors: Anggaini Dwi 
Published: April 2021

Electrical Measurement is one of the courses in Electrical Engineering, which consists of theoretical and practical subjects. The system of taking practical courses should be implemented after taking theoretical courses or simultaneously in one semester. But in reality there are still students who take practical courses before taking theoretical courses, especially in the Electrical Measurement course. Based on the description above, the researcher would describe whether there is an influence of learning outcomes of Electrical Measurement Theoretical Courses on learning outcomes of Electrical Measurement Practical Courses. This research must be held to measure motivation to learn of students and learn the interaction between learning motivation and Electrical Measurement Practical Courses. This research was analyzed using two-way ANAVA (Two Way ANOVAI) with a 2x2 factorial design and further tests using Tukey Test. The result was there is an interaction between Electrical Measurement Theoretical Courses and student's learning motivation of their Electrical Measurement Practical Courses' results. This can be seen from 16.66 and Ft = 4.04 at ? = 0.05 with Fh> Ft means H1 is accepted.
Model Doubly Fed Induction Generator (DFIG) untuk Analisis Performa Kontrol pada Pembangkit Listrik Tenaga Angin
Authors: Putri Tri Wahyu Oktaviana , Yogianto Agus , Hajar Ibnu 
Published: April 2021

Studi mengenai pengoperasian pembangkit listrik dari energi terbarukan dengan tenaga angin khususnya terkait dengan peran sistem kontrol pada pembangkit listrik tenaga angin relatif masih sangat terbatas. Peran sistem kontrol sendiri sangat penting di dalam konversi daya pembangkit listrik seperti ini. Oleh sebab itu untuk mengetahui serta menyelidiki pengaruh sistem kontrol konverter daya pada pembangkit listrik tenaga angin khususnya dengan Double-Fed Induction Generator (DFIG) dibutuhkan pemodelan dari pembangkit listrik tenaga angin dengan DFIG serta sistem kontrol yang dapat digunakan untuk simulasi pada jaringan atau sistem tenaga listrik. Penelitian dengan demikian bertujuan untuk menghasilkan model pembangkit listrik tenaga angin dengan generator DFIG beserta sistem kontrolnya yang dapat mengatur konversi daya secara optimal pada operasi yang terkoneksi ke jaringan listrik. Beberapa tahapan dilakukan pada penelitian ini yang terdiri dari kajian literatur, persiapan perangkat untuk simulasi memakai MATLAB/Simulink, pemodelan DFIG dengan penurunan persamaan yang berlaku, penyederhanaan model, disain kontrol, simulasi dan analisis. Pada tahapan penelitian ini hasil yang didapat merupakah sebagian tahapan penelitian yaitu mendapatkan pemodelan DFIG yang disederhanakan. Model DFIG yang disederhanakan ini diperoleh setelah melalui perumusan persamaan matematis dari rangkaian ekuivalen DFIG, menurunkan persamaan untuk model transien DFIG dan menyusun model DFIG dalam bentuk state space. Selanjutnya penyederhanaan dari bentuk state space diperoleh hubungan antara stator dan rotor DFIG.
Acupuntura na prática odontológica: Ênfase na cirurgia
Authors: Lemos Ana Luisa Ferreira , Teixeira Amanda Sousa , Nascimento Fernando , Silva Luciana de Araújo Mendes , Costa Marcelo Dias Moreira de Assis , Dietrich Lia 
Published: April 2021

Atualmente, existe uma grande busca por terapias consideradas naturais, geralmente chamadas de alternativas, tanto por parte dos cirurgiões dentistas, quanto dos pacientes. Em meio a diversas opções, encontra-se a acupuntura, uma técnica que faz parte da Medicina Tradicional Chinesa, a qual, se constitui pela inserção de agulhas, em pontos específicos da pele, ao longo do corpo. Tal técnica comprovou cientificamente suas capacidades ansiolíticas, hemostáticas, anti-inflamatórias, analgésicas, mio relaxantes e ativadora da função imune. Este trabalho objetiva agrupar informações, sobre o benefício da acupuntura dentro da odontologia, dando enfoque aos procedimentos cirúrgicos. Foi realizada uma revisão de literatura narrativa do tema, utilizando como base de referência artigos disponíveis em plataformas onlines, como BVS salud, Scielo e Pubmed, nos idiomas inglês e portugues (Brasil), onde foi priorizado a utilização de artigos mais atuais ou artigos que trazem a base e fundamentação da acupuntura. A acupuntura se mostra uma alternativa, extremamente interessante, tanto para o paciente quanto para o cirurgião dentista, uma vez que, proporciona segurança e conforto para ambos.
Prognostic Significance and Tumor Immune Microenvironment Heterogenicity of m5C RNA Methylation Regulators in Triple-Negative Breast Cancer
Authors: Huang Zhidong , Pan Junfan , Wang Helin , Du Xianqiang , Xu Yusheng , Wang Zhitang , Chen Debo 
Published: April 2021

PurposeThe m5C RNA methylation regulators are closely related to tumor proliferation, occurrence, and metastasis. This study aimed to investigate the gene expression, clinicopathological characteristics, and prognostic value of m5C regulators in triple-negative breast cancer (TNBC) and their correlation with the tumor immune microenvironment (TIM).MethodsThe TNBC data, Luminal BC data and HER2 positive BC data set were obtained from The Cancer Genome Atlas and Gene Expression Omnibus, and 11 m5C RNA methylation regulators were analyzed. Univariate Cox regression and the least absolute shrinkage and selection operator regression models were used to develop a prognostic risk signature. The UALCAN and cBioportal databases were used to analyze the gene characteristics and gene alteration frequency of prognosis-related m5C RNA methylation regulators. Gene set enrichment analysis was used to analyze cellular pathways enriched by prognostic factors. The Tumor Immune Single Cell Hub (TISCH) and Timer online databases were used to explore the relationship between prognosis-related genes and the TIM.ResultsMost of the 11 m5C RNA methylation regulators were differentially expressed in TNBC and normal samples. The prognostic risk signature showed good reliability and an independent prognostic value. Prognosis-related gene mutations were mainly amplified. Concurrently, the NOP2/Sun domain family member 2 (NSUN2) upregulation was closely related to spliceosome, RNA degradation, cell cycle signaling pathways, and RNA polymerase. Meanwhile, NSUN6 downregulation was related to extracellular matrix receptor interaction, metabolism, and cell adhesion. Analysis of the TISCH and Timer databases showed that prognosis-related genes affected the TIM, and the subtypes of immune-infiltrating cells differed between NSUN2 and NSUN6.ConclusionRegulatory factors of m5C RNA methylation can predict the clinical prognostic risk of TNBC patients and affect tumor development and the TIM. Thus, they have the potential to be a novel prognostic marker of TNBC, providing clues for understanding the RNA epigenetic modification of TNBC.
Clinical Identification and Characteristic Analysis of Giant Cell Myocarditis in 12 Cases
Authors: Liu Shangyu , Zheng Lihui , Shen Lishui , Wu Lingmin , Yao Yan 
Published: April 2021

Aims: Giant cell myocarditis (GCM) is a rare, rapidly progressing cardiomyopathy with high mortality, if not diagnosed and treated in time. We analyzed the progression and clinical manifestations of patients with definitive diagnosis of GCM.Methods and Result: We enrolled 12 patients diagnosed with GCM in the explanted heart during heart transplantation (HTx) or by endomyocardial biopsy (EMB) and collected information on demographic data, cardiac structure and function, arrhythmias, preliminary diagnosis, and delay of the diagnosis. Seven cases were diagnosed from biopsy samples during HTx, and five cases were diagnosed through EMB. Before the diagnosis of GCM based on pathological analysis, these patients had been incorrectly diagnosed with arrhythmogenic right ventricular cardiomyopathy (n = 5), dilated cardiomyopathy (n = 2), ventricular tachycardia (n = 2), viral myocarditis (n = 1), cardiac amyloidosis (n = 1), and ischemic cardiomyopathy (n = 1) based on clues such as symptoms, arrhythmia, and cardiac imaging. Patients diagnosed with GCM through EMB had a shorter symptom-onset-to-diagnosis time (6.6 ± 2.7 months) and milder heart damage (left ventricular ejection fraction, 47.2 ± 8.8%) than those diagnosed during HTx (11.0 ± 3.3 months, P = 0.034; 31.4 ± 10.9%, P = 0.024).Conclusion: GCM is easily misdiagnosed as other types of myocarditis and cardiomyopathy. Pathological examination of the myocardium is the most reliable diagnostic method for GCM. Endocardial biopsy can identify patients with GCM at an earlier stage.
Step-Down of FSH- Dosage During Ovarian Stimulation – Basic Lessons to Be Learnt From a Randomized Controlled Trial
Authors: Lawrenz Barbara , Coughlan Carol , Melado Laura , Digma Shieryl , Sibal Junard , Jean Alliza , Fatemi Human M. 
Published: April 2021

A rise in serum progesterone in the late follicular phase is a well described adverse effect of ovarian stimulation for IVF/ICSI. Previous data suggest, that enhanced gonadotropin stimulation causes progesterone elevation and the incidence of premature progesterone elevation can be reduced by declining gonadotropin dosages. This randomized controlled trial (RCT) aimed to achieve a significant reduction of the progesterone level on the day of final oocyte maturation by a daily reduction of 12.5 IU rec-FSH from a follicle size of 14 mm in a GnRH-antagonist protocol. A total of 127 patients had been recruited (Control group (CG): 62 patients; Study group (SG): 65 patients). Due to drop out, data from 108 patients (CG: 55 patients; SG: 53 patients) were included into the analysis. Patients’ basic parameters, gonadotropin (Gn)-starting dose, total Gn-stimulation dosage, the number of retrieved and mature oocytes as well as in the hormonal parameters on the day of trigger (DoT) were not statistically significantly different. However, through stepwise Gn-reduction of 12.5 IU/day in the SG, there was a statistically highly significant difference in the Gn-stimulation dosage on the day of trigger (p &lt; 0.0001) and statistically significant associations for the DoT-P4-levels with the DoT-FSH-levels for both groups (CG: p = 0.001; SG: p = 0.0045). The herein described significant associations between DoT-P4-levels and DoT-FSH-levels confirm the theory that enhanced FSH stimulation is the primary source of progesterone elevation on the day of final oocyte maturation in stimulated IVF/ICSI cycles. Given the pathophysiologic mechanism of progesterone elevation during ovarian stimulation, the use of an increased FSH step-down dosage should be studied in future RCTs, despite the fact that a step-down approach of daily 12.5 IU rec-FSH did not achieve a significantly reduced progesterone level on the DoT.Clinical Trial Registration:clinicaltrials.gov, identifier NCT03356964.
Does Copper Contamination Affect Soil CO2 Emissions? A Literature Review
Authors: Sereni Laura , Guenet Bertrand , Lamy Isabelle 
Published: April 2021

Contaminated soils are widespread and contamination is known to impact several biotic soil processes. But it is still not clear to what extent soil contamination affects soil carbon efflux (CO2) occurring through soil microfauna respiration. Regarding the large stocks of organic carbon (Corga) stored in soils, even limited changes in the outputs fluxes may modify atmospheric CO2 concentration with important feedbacks on climate. In this study, we aimed at assessing and quantifying how soil respiration is affected by contamination. For that, we performed a quantitative review of literature focusing on 1) soil heterotrophic respiration measurements thus excluding autotrophic respiration from plants, 2) soil copper contamination, and 3) the influence of pedo-climatic parameters such as pH, clay content or the type of climate. Using a dataset of 389 data analyzed with RandomForest and linear mixed statistical models, we showed a decrease in soil CO2 emission with an increase in soil copper contamination. Specific data from ex-situ spiking experiments could be easily differentiated from the ones originated from in-situ contamination due to their sharper decrease in soil Corga mineralization. Interestingly, ex-situ spikes data provided a threshold in soil Cu contents for CO2 emissions: CO2 emission increased for inputs below 265 mgCu.kg−1 soil and decreased above this concentration. Data from long-term in-situ contaminations due to anthropogenic activities (industrialization, agriculture, … ) also displayed an impact on soil carbon mineralization, much particularly for industrial contaminations (smelter, sewage sludge, … ) with decreased in CO2 emissions when Cu contamination increased. Soil pH was identified as a significant driver of the effect of Cu on CO2 emissions, as soil C mineralization was found to be more sensitive to Cu contamination in acidic soils than in neutral or alkaline soils. Conversely the clay content and the type of climate did not significantly explain the responses in soil C mineralization. Finally, the collected data were used to propose an empirical equation quantifying how soil respiration can be affected by a Cu contamination. The decrease in soil CO2 emissions cannot be related, however, in a role of C sink as it comes together with a decrease in soil microbial biomass.
Repurposing Immunomodulatory Drugs to Combat Tuberculosis
Authors: Fatima Samreen , Bhaskar Ashima , Dwivedi Ved Prakash 
Published: April 2021

Tuberculosis (TB) is an infectious disease caused by an obligate intracellular pathogen, Mycobacterium tuberculosis (M.tb) and is responsible for the maximum number of deaths due to a single infectious agent. Current therapy for TB, Directly Observed Treatment Short-course (DOTS) comprises multiple antibiotics administered in combination for 6 months, which eliminates the bacteria and prevents the emergence of drug-resistance in patients if followed as prescribed. However, due to various limitations viz., severe toxicity, low efficacy and long duration; patients struggle to comply with the prescribed therapy, which leads to the development of drug resistance (DR). The emergence of resistance to various front-line anti-TB drugs urgently require the introduction of new TB drugs, to cure DR patients and to shorten the treatment course for both drug-susceptible and resistant populations of bacteria. However, the development of a novel drug regimen involving 2-3 new and effective drugs will require approximately 20-30 years and huge expenditure, as seen during the discovery of bedaquiline and delamanid. These limitations make the field of drug-repurposing indispensable and repurposing of pre-existing drugs licensed for other diseases has tremendous scope in anti-DR-TB therapy. These repurposed drugs target multiple pathways, thus reducing the risk of development of drug resistance. In this review, we have discussed some of the repurposed drugs that have shown very promising results against TB. The list includes sulfonamides, sulfanilamide, sulfadiazine, clofazimine, linezolid, amoxicillin/clavulanic acid, carbapenems, metformin, verapamil, fluoroquinolones, statins and NSAIDs and their mechanism of action with special emphasis on their immunomodulatory effects on the host to attain both host-directed and pathogen-targeted therapy. We have also focused on the studies involving the synergistic effect of these drugs with existing TB drugs in order to translate their potential as adjunct therapies against TB.
Robust Prediction of Immune Checkpoint Inhibition Therapy for Non-Small Cell Lung Cancer
Authors: Jiang Jiehan , Jin Zheng , Zhang Yiqun , Peng Ling , Zhang Yue , Zhu Zhiruo , Wang Yaohui , Tong De , Yang Yining , Wang Jianfei , Yang Yadong , Xiao Kui 
Published: April 2021

BackgroundThe development of immune checkpoint inhibitors (ICIs) is a revolutionary milestone in the field of immune-oncology. However, the low response rate is the major problem of ICI treatment. The recent studies showed that response rate to single-agent programmed cell death protein 1 (PD-1)/programmed cell death-ligand 1 (PD-L1) inhibition in unselected non-small cell lung cancer (NSCLC) patients is 25% so that researchers defined several biomarkers to predict the response of immunotherapy in ICIs treatment. Common biomarkers like tumor mutational burden (TMB) and PD-L1 expression have several limitations, such as low accuracy and inadequately validated cutoff value.MethodsTwo published and an unpublished ICIs treatment NSCLC cohorts with 129 patients were collected and divided into a training cohort (n = 53), a validation cohort (n = 22), and two independent test cohorts (n = 34 and n = 20). We identified six immune-related pathways whose mutational status was significantly associated with overall survival after ICIs treatment. Then these pathways mutational status combined with TMB, PD-L1 expression and intratumor heterogeneity were incorporated to build a Bayesian-regularization neural networks (BRNN) model to predict the ICIs treatment response.ResultsWe firstly proved that TMB, PD-L1, and mutant-allele tumor heterogeneity (MATH) were independent biomarkers. The survival analysis of six immune-related pathways revealed the mutational status could distinguish overall survival after ICIs treatment. When predicting immunotherapy efficacy, the overall accuracy of area under curve (AUC) in validation cohort reaches 0.85, outperforming previous predictors in either sensitivity or specificity. And the AUC in two independent test cohorts reach 0.74 and 0.80.ConclusionWe developed a pathway-model that could predict the efficacy of ICIs in NSCLC patients. Our study made a significant contribution to solving the low prediction accuracy of immunotherapy of single biomarker. With the accumulation of larger data sets, further studies are warranted to refine the predictive performance of the approach.
A Ferroptosis-Related Signature Robustly Predicts Clinical Outcomes and Associates With Immune Microenvironment for Thyroid Cancer
Authors: Ge Mingqin , Niu Jie , Hu Ping , Tong Aihua , Dai Yan , Xu Fangjiang , Li Fuyuan 
Published: April 2021

Objective: This study aimed to construct a prognostic ferroptosis-related signature for thyroid cancer and probe into the association with tumor immune microenvironment.Methods: Based on the expression profiles of ferroptosis-related genes, a LASSO cox regression model was established for thyroid cancer. Kaplan-Meier survival analysis was presented between high and low risk groups. The predictive performance was assessed by ROC. The predictive independency was validated via multivariate cox regression analysis and stratified analysis. A nomogram was established and verified by calibration curves. The enriched signaling pathways were predicted via GSEA. The association between the signature and immune cell infiltration was analyzed by CIBERSORT. The ferroptosis-related genes were validated in thyroid cancer tissues by immunohistochemistry and RT-qPCR.Results: A ferroptosis-related eight gene model was established for predicting the prognosis of thyroid cancer. Patients with high risk score indicated a poorer prognosis than those with low risk score (p = 1.186e-03). The AUCs for 1-, 2-, and 3-year survival were 0.887, 0.890, and 0.840, respectively. Following adjusting other prognostic factors, the model could independently predict the prognosis (p = 0.015, HR: 1.870, 95%CI: 1.132–3.090). A nomogram combining the signature and age was constructed. The nomogram-predicted probability of 1-, 3-, and 5-year survival approached the actual survival time. Several ferroptosis-related pathways were enriched in the high-risk group. The signature was distinctly associated with the immune cell infiltration. After validation, the eight genes were abnormally expressed between thyroid cancer and control tissues.Conclusion: Our findings established a prognostic ferroptosis-related signature that was associated with the immune microenvironment for thyroid cancer.