bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Pembelajaran Online Pada Saat Pandemi Covid-19 di STAI Al Furqan Makassar
Authors: Asykur Muamar , Kaharuddin Kaharuddin , Ridwansyah Muh 
Published: August 2022

Penelitian ini bertujuan untuk mengetahui bagaimana evaluasi pelaksanaan pembelajaran online pada saat masa pandemi. Covid 19 di STAI Al Furqan Makassar Penelitian ini adalah penelitian kuantitatif dengan desain deskriptif online survey. Populasinya mahasiswa Prodi S1 di STAI Al Furqan Makassar. yang mengikuti pembelajaran online dan bersedia mengisi google-form sejumlah 80 mahasiswa. Hasil penelitian adalah bahwa sebagian besar mahasiswa merasa tidak nyaman dengan pembelajaran online (65,2%), sebagian besar mahasiswa memilih pembelajaran dengan media non audio visual (54,3%), hampir sebagian mahasiswa memilih pembelajaran dengan media tatap layar atau online (31,5%) dan hampir sebagian mahasiswa menginginkan cara pembelajaran yang interaktif (31,5%).
The Effect of Online Games on Changes in Student Behavior in Middle Schools
Authors: Hanafie Nurharsya Khaer , Bakhtiar Bakhtiar , Darmawati Darmawati 
Published: August 2022

The Effect of Online Games on Changes in Student Behavior in Junior High Schools The approach used in this study is an associative approach with quantitative research. The data collection techniques used observation, questionnaires/questionnaires and documentation. While the data analysis used simple linear regression test, Product Moment Correlation test, partial test (t), and the determinant coefficient. The results of this study indicate that: (1) Online games affect changes in student behavior in junior high schools, this is indicated by the results of the t-test analysis or partial test. The t-test or partial test is a statistic used to test the truth or falsity of the null hypothesis. So the results of statistical test analysis are known that there is a significant influence between the online game variable (X) and the student behavior change variable (Y). This means that the higher the intensity of playing online games played by students, the changes in student behavior are increasing/bad. The indicator factors for online game variables are the most dominant influencing changes in student behavior. namely online games are only used unilaterally, not balanced with valuable activities, so that they only have a negative impact and cause bad effects for students.
Keywords: Effect Online Games, Students Behavior, Online Games
Analysis of Effect Application of Stad-Type Cooperative Learning Model on Learning Outcomes at Elementary School
Authors: Nureva Nureva 
Published: August 2022

This study aims to determine the Influence of Cooperative Learning Model Student Team Achievement Division (STAD) Toward Learning Outcomes IPS Class V SDN 63 Gedong Tataan Pesawaran District Subdistrict.This research is using research design pretest-posttes group design. The independent variables in this study is a cooperative learning model STAD while the dependent variable is the result of learning. The data collection technique used is the test, and documentation. The data analysis technique consists of three stages, namely, stage description of the data, the test phase of requirements analysis and hypothesis testing phase.step description of the data include data distribution learning outcomes. Test requirements analysis phase includes tests of normality and homogeneity. While the hypothesis testing phase using T-test analysis results of data analysis showed> ie 5.37> 1.68 to 0.05 level signitifkan.this proves that rejected or accepted, which means there is influence between STAD cooperative learning on the results of social studies class V SDN 63 Gedong Tataan District of Gedong Tataan Pesawaran District.
Keywords: Cooperative Learning, Learning Outcome, STAD-Type Cooperative Learning
PERANCANGAN SISTEM INFORMASI MUBALIGH BINTALDAM XIV/HN VERSI MOBILE
Authors: Rokhman Abdul , Herlinah Herlinah , Hazriani Hazriani , Nur Adnan 
Published: August 2022

Pemanfaatan teknologi telpon genggam dalam dunia da’wah seharusnya bukan hanya sebatas pada penggunaaan konunikasi personal, akan tetapi lebih lanjut harus dimanfaatkan untuk pengembangan pelayanan informsi yang lebih luas, oleh karena itu perlu drancang sistem informasi mubaligh. Metode penelitian dalam rangka merancang sistem informasi mubaligh ini adalah menggunakan metode action research, yaitu mengembangkan sistem yang ada dengan sistem baru yang lebih baik. Metode ini didukung dengan peralatan mobile phone berbasis web dan pengumpulan datanya menggunakan pengumpulan dokumen, pengamatan, wawancara dan kuisioner. Hasil perancangan menunjukkan bahwa sistem informasi mubaligh ini dapat diakses melalui handphone dengan berbagai macam informasi tentang masjid-masjid sebagai tempat da’wah, data mubaligh, aneka kegiatan muballigh di masjid-masjid dan informasi untuk muballigh, sehingga ummat dapat mengetahui siapa siapa muballigh yang akan bertugas menjadi khatib atau penceramah di masjidnya.
The microbial production of kynurenic acid using Yarrowia lipolytica yeast growing on crude glycerol and soybean molasses
Authors: Rakicka-Pustułka Magdalena , Ziuzia Patrycja , Pierwoła Jan , Szymański Kacper , Wróbel-Kwiatkowska Magdalena , Lazar Zbigniew 
Published: August 2022

Yarrowia lipolytica yeast are able to produce kynurenic acid—a very valuable compound acting as a neuroprotective and antioxidant agent in humans. The recent data proved the existence of the kynurenine biosynthesis pathway in this yeast cells. Due to this fact, the aim of this work was to enhance kynurenic acid production using crude glycerol and soybean molasses as cheap and renewable carbon and nitrogen sources. The obtained results showed that Y. lipolytica GUT1 mutants are able to produce kynurenic acid in higher concentrations (from 4.5 mg dm−3 to 14.1 mg dm−3) than the parental strain (3.6 mg dm−3) in the supernatant in a medium with crude glycerol. Moreover, the addition of soybean molasses increased kynurenic acid production by using wild type and transformant strains. The A-101.1.31 GUT1/1 mutant strain produced 17.7 mg dm−3 of kynurenic acid in the supernatant during 150 h of the process and 576.7 mg kg−1 of kynurenic acid in dry yeast biomass. The presented work proves the great potential of microbial kynurenic acid production using waste feedstock. Yeast biomass obtained in this work is rich in protein, with a low content of lipid, and can be a healthy ingredient of animal and human diet.
Solventing out crystallization-basic magnesium carbonate percipitation for thorough phosphorus removal from ammonium tungstate solution
Authors: Yang Liang , Qu Jie , Gong Dandan , Wang Zhongbing , Wang Ruixiang , Wan Linsheng 
Published: August 2022

The ammonium tungstate solution obtained by leaching scheelite with phosphate contains a large amount of phosphorus. For production of qualified ammonium paratungstate products, phosphorus must be deeply removed from the ammonium tungstate solution. In this study, a novel process for ammonium phosphate recovery and deep phosphorus removal from the solution was proposed. First, ammonium phosphate was crystallized and separated from the ammonium tungstate solution by blowing ammonia and cooling. Results showed that the crystallization ratio of phosphorus was above 95% under the conditions of an ammonia concentration of 4.18 mol/L, an initial phosphorus concentration ranging from 15 g/L to 30 g/L, a holding time of 60 min and the temperature of 20°C. Then, the small portion of phosphorus remaining in the ammonium tungstate solution was further deeply removed by basic magnesium carbonate percipitation. The phosphorus removal efficiency was above 99% and tungsten loss was less than 0.22% under the following conditions: the basic magnesium carbonate stoichiometric ratio was 1.5, the initial phosphorus concentration was ranging from 0.5 to 4 g/L, the reaction time was 120 min and temperature was 25°C. After phosphorus removal, the concentration of phosphorus in the ammonium tungstate solution was below 10 ppm, which meant deep phosphorus removal was achieved.
Machine learning for maternal health: Predicting delivery location in a community health worker program in Zanzibar
Authors: Fredriksson Alma , Fulcher Isabel R. , Russell Allyson L. , Li Tracey , Tsai Yi-Ting , Seif Samira S. , Mpembeni Rose N. , Hedt-Gauthier Bethany 
Published: August 2022

BackgroundMaternal and neonatal health outcomes in low- and middle-income countries (LMICs) have improved over the last two decades. However, many pregnant women still deliver at home, which increases the health risks for both the mother and the child. Community health worker programs have been broadly employed in LMICs to connect women to antenatal care and delivery locations. More recently, employment of digital tools in maternal health programs have resulted in better care delivery and served as a routine mode of data collection. Despite the availability of rich, patient-level data within these digital tools, there has been limited utilization of this type of data to inform program delivery in LMICs.MethodsWe use program data from 38,787 women enrolled in Safer Deliveries, a community health worker program in Zanzibar, to build a generalizable prediction model that accurately predicts whether a newly enrolled pregnant woman will deliver in a health facility. We use information collected during the enrollment visit, including demographic data, health characteristics and current pregnancy information. We apply four machine learning methods: logistic regression, LASSO regularized logistic regression, random forest and an artificial neural network; and three sampling techniques to address the imbalanced data: undersampling of facility deliveries, oversampling of home deliveries and addition of synthetic home deliveries using SMOTE.ResultsOur models correctly predicted the delivery location for 68%–77% of the women in the test set, with slightly higher accuracy when predicting facility delivery versus home delivery. A random forest model with a balanced training set created using undersampling of existing facility deliveries accurately identified 74.4% of women delivering at home.ConclusionsThis model can provide a “real-time” prediction of the delivery location for new maternal health program enrollees and may enable early provision of extra support for individuals at risk of not delivering in a health facility, which has potential to improve health outcomes for both mothers and their newborns. The framework presented here is applicable in other contexts and the selection of input features can easily be adapted to match data availability and other outcomes, both within and beyond maternal health.
Pathfinder elements for gold exploration in the Hongqigou tectonic zone of the Wulonggou goldfield (Qinghai Province, Western China)
Authors: Zhen Shikun , Sun Meiqing , Xia Chulin , Zhang Wenzhao , Quan Chang’en , Han Zhihong , Du Yu 
Published: August 2022

Gold is strongly enriched (up to 12 ppb) in the Hongqigou tectonic zone, which represents a potential metal source for the Wulonggou goldfield. In this study, a suite of 20 elements (Au, Ag, As, B, Ba, Bi, Cd, Co, Cu, Hg, Mn, Mo, Ni, Pb, Sb, Sn, Ti, V, W, and Zn) were analyzed on 30 altered rock samples from the tectonic zone. Compared with the average abundance of the earth's crust, these samples are generally enriched in Hg, have comparable Au, Ba, and As, and depleted in Ba, Co, and W. We suggested that Au, As, Hg, and Ba are the major ore-forming elements. The coupling relationship in multielement variation patterns between the altered rocks (in the tectonic zone) and wall rocks indicates wallrock involvement during the alteration process. Correlation statistical analysis (with SPSS software) on the 20 elements suggests that the elements of Ag, Cu, Pb, Hg, and Cd are closely related, and useful pathfinder elements include As, Sb, Hg, W, Sn, Cu, Ni, Mn, and Zn.
Effect of metformin versus metformin plus liraglutide on gonadal and metabolic profiles in overweight patients with polycystic ovary syndrome
Authors: Xing Chuan , Zhao Han , Zhang Jiaqi , He Bing 
Published: August 2022

ObjectiveTo observe the effect of metformin (MET) monotherapy versus MET plus liraglutide (LIRA) on gonadal and metabolic profiles in overweight patients with polycystic ovary syndrome (PCOS).MethodsSixty overweight patients with PCOS were recruited from January 2021 to January 2022 in Shengjing Hospital of China Medical University and were randomly assigned to the MET or combination (COM) group to receive 12 weeks of MET monotherapy or MET plus LIRA therapy. Anthropometric measurements, menstrual cycle changes, gonadal profiles, and oral glucose tolerance tests (OGTT) were conducted at baseline and after the 12-week treatment.ResultsFifty-two subjects completed the trial while eight were lost during the follow-up. Both MET and COM improved menstrual cycles, anthropometric parameters, and glucose metabolism after the 12-week treatment; however, there was no statistical difference between the two groups. MET plus LIRA therapy improved hyperandrogenemia, including TT (total testosterone), SHBG (sex hormone binding globulin) and FAI (free androgen index), whereas MET monotherapy only improved SHBG and FAI when compared with baseline. Furthermore, both MET monotherapy and MET plus LIRA therapy improved E2 (estradiol) while only MET plus LIRA therapy improved LH (luteinizing hormone), FSH (follicle stimulating hormone) and Prog (progesterone) more effectively than baseline. Additionally, MET plus LIRA therapy may improve TT, SHBG, FAI, LH and Prog more effectively than MET monotherapy; however, there were no significant differences on E2, FSH and LH/FSH between the two groups.ConclusionsIn overweight patients with PCOS, both MET monotherapy and MET plus LIRA therapy improved glucose metabolism and relieved insulin resistance (IR). Additionally, MET plus LIRA therapy was more effective than MET monotherapy in improving reproductive abnormalities and hyperandrogenemia, potentially by modulating the hypothalamic-pituitary-ovarian axis.
DNA methylation affects freezing tolerance in winter rapeseed by mediating the expression of genes related to JA and CK pathways
Authors: Wei Jiaping , Shen Yingzi , Dong Xiaoyun , Zhu Yajing , Cui Junmei , Li Hui , Zheng Guoqiang , Tian Haiyan , Wang Ying , Liu Zigang 
Published: August 2022

Winter rapeseed is the largest source of edible oil in China and is especially sensitive to low temperature, which causes tremendous agricultural yield reduction and economic losses. It is still unclear how DNA methylation regulates the formation of freezing tolerance in winter rapeseed under freezing stress. Therefore, in this study, the whole-genome DNA methylation map and transcriptome expression profiles of freezing-resistant cultivar NTS57 (NS) under freezing stress were obtained. The genome-wide methylation assay exhibited lower levels of methylation in gene-rich regions. DNA methylation was identified in three genomic sequence contexts including CG, CHG and CHH, of which CG contexts exhibited the highest methylation levels (66.8%), followed by CHG (28.6%) and CHH (9.5%). Higher levels of the methylation were found in upstream 2 k and downstream 2 k of gene regions, whereas lowest levels were in the gene body regions. In addition, 331, 437, and 1720 unique differentially methylated genes (DMGs) were identified in three genomic sequence contexts in 17NS under freezing stress compared to the control. Function enrichment analysis suggested that most of enriched DMGs were involved in plant hormones signal transduction, phenylpropanoid biosynthesis and protein processing pathways. Changes of genes expression in signal transduction pathways for cytokinin (CK) and jasmonic acid (JA) implied their involvement in freezing stress responses. Collectively, these results suggested a critical role of DNA methylation in their transcriptional regulation in winter rapeseed under freezing stress.
PIRCHE-II scores prove useful as a predictive biomarker among kidney transplant recipients with rejection: An analysis of indication and follow-up biopsies
Authors: Spitznagel Tahm , Matter Laurenz S. , Kaufmann Yves L. , Nilsson Jakob , von Moos Seraina , Schachtner Thomas 
Published: August 2022

BackgroundIndication biopsies for deterioration of kidney allograft function often require follow-up biopsies to assess treatment response or lack of improvement. Immune-mediated injury, namely borderline rejection (BLR), T-cell mediated rejection (TCMR), or antibody-mediated rejection (ABMR), results from preformed or de novo alloreactivity due to donor and recipient HLA-mismatches. The impact of HLA-mismatches on alloreactivity is determined by highly immunogenic HLA-epitopes.MethodsWe analyzed 123 kidney transplant recipients (KTRs) from 2009 to 2019 who underwent a first indication and a follow-up biopsy. KTRs were divided into three groups according to the first biopsy: No rejection (NR)/BLR (n=68); TCMR (n=21); ABMR (n=34). The HLA-derived epitope-mismatches were calculated using the Predicted Indirectly Recognizable HLA-Epitopes (PIRCHE-II) algorithm.ResultsGroup NR/BLR: KTRs with higher total PIRCHE-II scores were more likely to develop TCMR in the follow-up biopsy (p=0.031). Interestingly, these differences were significant for both HLA-class I- (p=0.017) and HLA-class II-derived (p=0.017) PIRCHE-II scores. Group TCMR: KTRs with ongoing TCMR in the follow-up biopsy were more likely to show higher total PIRCHE-II scores (median 101.50 vs. 74.00). Group ABMR: KTRs with higher total PIRCHE-II scores were more likely to show an increase in the microvascular inflammation score in the follow-up biopsy. This difference was more pronounced for the HLA-class II-derived PIRCHE-II scores (median 70.00 vs. 31.76; p=0.086).ConclusionsPIRCHE-II scores may prove useful as a biomarker to predict the histopathological changes of immune-related injury from a first indication to a follow-up biopsy. This immunological risk stratification may contribute to individualized treatment strategies.
Neoadjuvant immunotherapy and chemoimmunotherapy for stage II-III muscle invasive bladder cancer
Authors: Chen Hualin , Yang Wenjie , Xue Xiaoqiang , Li Yingjie , Jin Zhaoheng , Ji Zhigang 
Published: August 2022

ObjectiveConsidering the striking evidence revealed by immunotherapy in advanced or metastatic bladder cancer, investigators have explored neoadjuvant immunotherapy and chemoimmunotherapy in muscle-invasive bladder cancer (MIBC). Currently, there have been a large number of studies reporting varied efficacy and safety of these approaches. Herein, we pooled the available evidence in terms of oncological outcomes (pathological complete response [pCR] and pathological partial response [pPR]) and safety outcomes (immune-related adverse events [irAEs], treatment-related adverse events [TRAEs]), through a systematic review and meta-analysis.MethodWe searched PubMed, Embase, Cochrane Library, and American Society of Clinical Oncology meeting abstracts to identify relevant studies up to June 2022. Studies were included if they evaluated the neoadjuvant immunotherapy or chemoimmunotherapy in MIBC and reported at least the pCR.ResultsA total of 22 records involving 843 patients were included. For pCR of immunotherapy, the pooled rate of immune checkpoint inhibitor (ICI) monotherapy and dual-ICIs therapy was 24% (95% confidence interval [CI]: 15.3% - 32.8%) and 32.1% (95%CI: 20.6% - 43.7%), respectively. For pCR of chemoimmunotherapy, the overall pooled rate was 42.6% (95% CI: 34.9% - 50.2%). Subgroup of gemcitabine/cisplatin (GC) plus ICI had a pCR rate of 41.7% (95%CI: 35.8% - 47.5%). In terms of safety, the pooled rate of Grade≥3 irAEs was 11.7% (95% CI: 6.5%-16.9%). In subgroup analysis, the Grade≥3 irAEs rate of ICI monotherapy, dual-ICIs therapy, and GC plus ICI therapy was 7.4% (95% CI: 4.3%-10.5%), 30.3% (95% CI: 15.3%-45.3%), and 14.5% (95% CI: 3.5% - 25.4%), respectively. Besides, the pooled Grade≥3 TRAEs rate for chemoimmunotherapy was 32.4% (95% CI: 13.1% - 51.6%).ConclusionNeoadjuvant immunotherapy and chemoimmunotherapy were effective and safe in the treatment of MIBC. Compared to ICI monotherapy, dual-ICIs therapy or chemoimmunotherapy can improve the response rate, while increasing the morbidity of Grade≥ 3 irAEs or Grade≥ 3 TRAEs.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD4202233771.
Synthesis and characterization of low-carbon cementitious materials from suspended calcined coal gangue
Authors: Jiu Shaowu , Wang Mingming , Chen Yanxin , Chen Jingyi , Gao Qianwen 
Published: August 2022

Coal gangue is used to replace cement clinker to prepare cementitious material via activation techniques. Thus, the solid waste can be effectively disposed, and the carbon emission from cement production processes can be significantly reduced. In this paper, the product transformation, reaction mechanism, and thermal activation kinetics of coal gangue were analyzed by X-ray diffraction, thermal analysis, infrared analysis, and scanning electron microscopy. We employed a suspension calcination process to prepare high-activity metakaolin. A cementitious material was prepared from the metakaolin and cement, and the mechanical properties and hydration products were analyzed. The results show that metakaolin was formed by the dehydroxylation of kaolinite in the coal gangue during calcination, and the reaction was based on the Z–L–T three-dimensional diffusion mechanism with an activation energy of 190.2 kJ/mol. Metakaolin with dissolution rates of 69.5%–76.3% and 44.5%–52.3% of activated alumina and silica, respectively, were synthesized by calcining the coal gangue at 750°C–850°C for approximately 5 s via suspension calcination. The prepared cementitious material showed 28-days compressive strength of 57.5–61.5 MPa and an activity index of 114%–135%. The cementitious material participated in the hydration of cement and formed a structurally dense hardened body, which resulted in a high replacement volume and high strength of the specimens. The preparation of low-carbon cementitious materials by activating gangue via suspension calcination provides a basis for gangue utilization and reduction of carbon emissions during cement production.