bluuebunny/crossref_metadata_2025_split huggingface dataset:
Penerapan Model Waterfall Pada Rancang Bangun Sistem Informasi Pengelolaan Surat Keterangan Usaha
Authors: Syamsul Bakhri  , Muhammad Fikri Arif  
Published: September 2022

Kantor Desa Banjarwaru Kecamatan Ciawi merupakan Instansi pemerintah tingkat yang paling bawah, dimana Kantor Desa ini merupakan suatu instansi yang melakukan pendataan penduduk. Salah satu pelayanan yang diberikan yaitu membuatkan surat keterangan usaha bagi warga yang memiliki usaha. Masih berlakunya sistem manual pada pengelolaan Surat Keterangan Usaha sering terjadi kendala seperti salah input, data tidak sama, tidak ada arsip data yang telah di ajukan akibatnya sewaktu-waktu dicari datanya tidak ada dan banyak lagi kendalanya sehingga tidak efektif dan efisien. Dalam pengelolaan Surat Keterangan Usaha tersebut menggunakan file berbentuk MS.Word yag bisa saja sewaktu-waktu hilang karena kesalahan petugas kasi pelayanan atau kerusakan komputer. Penelitian ini menganalisa dan merancang sistem berbasis desktop, untuk mempermudah petugas pelayanan dalam pembuatan, penyimpanan, pencarian Surat Keterangan Usaha, dengan metode Waterfall sebagai pengembangan sistem, sedangkan metode pengumpulan datanya menggunakan metode interview dan studi pustaka. Sistem ini juga menggunakan pemodelan struktur data unified model languange(UML). Perangkat lunak pendukungnya xampp dan database mysql.
Penerapan Algoritma Hybrid RSA Terhadap Pembangkit Kunci Diffie Hellman untuk Sistem Keamanan
Authors: Romindo  , Ferawaty  
Published: September 2022

Dalam dunia kriptografi, kunci untuk mengenkripsi dan mendekripsi pesan rahasia adalah salah satu yang paling penting. Kunci tersebut menentukan apakah ciphertext dapat dibaca atau tidak. Rahasia kunci sebenarnya adalah sesuatu yang mungkin lebih esensial dan penting daripada rahasia ciphertext itu sendiri, dalam arti pesan ciphertext bisa dibocorkan tapi kuncinya tidak bisa diungkap. Tujuan penelitian ini membahas tentang implementasi sistem keamanan data dengan metode algoritma hybrid Rivest Shamir Adleman (RSA) pada pembangkit kunci Diffie Hellman. Kombinasi suatu algoritma kriptografi kunci publik ke dalam algoritma pertukaran kunci Diffie Hellman yang digunakan untuk algoritma kunci simetri merupakan hal yang menarik. Dalam hal ini, algoritma kriptografi kunci publik yang digunakan untuk memperkuat algoritma pertukaran kunci Diffie-Hellman adalah RSA. RSA digunakan dengan alasan tingkat keamanannya sangat tinggi dari sekian banyak kemungkinan kombinasi algoritma. Pada kombinasi algoritma RSA sangat bermanfaat dalam proses pertukaran kunci dan dengan kombinasi algoritma Diffie Hellman bisa memberikan hasil pada kombinasi kedua metode tersebut sehingga keamanan data jadi lebih terjaga dan memberi tingkat kesukaran pada kunci menjadi lebih rumit serta kompleks juga membuat kunci tersebut sulit untuk dipecahkan oleh penyadap dengan hasil perhitungan nilai kunci simetris yang didapatkan oleh Alice dengan nilai kunci simetris key x = yx mod q = 805599 mod 1444 = 961 dan Bob dengan nilai kunci simetris Key y = x4 mod q = 599805 mod 1444= 961.
Analysis of Guided Inquiry-Based Cladistic E-Worksheet Development to Improve Critical Thinking in High School
Authors: Pratiwi Purnamaulida , Hidayat Topik , Amprasto Amprasto 
Published: September 2022

This research aims to analyze the development of Guided inquiry-based cladistic worksheet websites in high schools through that website that has already been developed. The research subjects were 36 students of class X at one of the high schools in Bandung. The research was used by using the experimental method. Students were given Guided inquiry-based cladistic worksheet websites. The instrument used was a Guided inquiry-based cladistic worksheet website, a Feasibility Test by expert lecturers, and a critical thinking test. Critical thinking skill use indicators are Simple Explanation, Conclude, Strategy and Tactics, Building basic skills, Make further explanations. The data were analyzed by using the paired sample T-test. The results showed that the cladistic worksheets based on guided inquiry were valid and effective (N-Gain= 0.54). The assessment analysis by the expert judgment was found to be feasible to be tested in the field without revision, besides that Guided inquiry-based cladistic e-worksheets after validation tests by expert lecturers were obtained from various aspects, such as the application of Guided inquiry to 100% cladistic e-worksheets, practical analysis obtained 91.6%, competency aspect analysis of 91.6%, knowledge construction, obtained a value of 80 and conformity or relevance to KD 100%. It can be concluded that the development of this media can improve students’ critical thinking skills.
Differences in the Effect of Offline, Blended, and Online Learning in Statistics Learning on Physical Education Students
Authors: Rumahlewang Emma , Ratnaya I Gede , Matitaputty Johanna 
Published: September 2022

The purpose of this study was to analyze the difference in the effect of learning carried out face-to-face directly or offline, learning carried out offline, online and blended learning. The research method was a quantitative method with a design experiment. This research was conducted in Ambon city, Maluku-Indonesia. The population in this study amounted to 118 Physical Education Student Sampling was carried out randomly to obtain the number of samples using Slovin's formula: n=n/(1+ne2) = 74. Instrument used in this research is an essay test. The test scores from the two sessions were combined to get a total score of statistical learning outcome scores were analyzed using one-way ANOVA, but before being analyzed the scores were tested for requirements with homogeneity tests. The results of this study indicate that the learning carried out provides an overview of the different statistics learning outcomes based on the results of the F test with an F value of 7.131 and a p-value of 0.02. Based on the post-hoc follow-up test, it was found that the student taught by face-to-face or offline learning got better statistics learning outcomes than the students taught online, with a p-value of 0.02. Meanwhile, offline student statistics learning outcomes are not significantly better than student statistics learning outcomes taught using mixed methods or blended learning. Then, the statistics learning outcomes of students taught by mixed learning are not significantly better than online statistics learning outcomes. Thus, it can be said that learning that is carried out offline or face-to-face directly (Blended Learning) is still better and superior to learning that is carried out in Blended Learning and which is carried out online.
Interactive Partnership Between Teacher and Parent-Religious Leader to Improve Students’ Attendance and Accomplishment in the Rural Areas
Authors: Rusmadji Aloysius , Pudjiarti Emiliana Sri 
Published: September 2022

This study aims to develop a model of school cooperation with parents and religious leaders applied to rural areas, where teachers and religious leaders have a strong influence. This collaboration contains interactive monitoring activities, home learning care, religious leaders' involvement, and students' active participation in classroom learning. The method used in this study is RnD, developed by Gall & Gall., et. al. The instrument validity test was carried out by using the Rcount : Rtable, resulting 0.468. Reliability tests were performed with Alpha Chrombach Estimate, resulting in a reliability coefficient value 0.755. The validity of the contents of the instrument is obtained through the assessment of experts and practitioners. The model's construct validity was tested with the Pearson Correlation Test, while the effectiveness of the model was tested with the Wilcoxon Test and N-Gain The results of limited tests conducted at SD Inpres Workwana, SD Inpres Pir 2, and SD YPPK Dunumamoy, Keerom Regency, show that the IGOPA model can increase students' active participation in learning. Wilcoxon's test results between before and after the implementation of the IGOPA cooperation model showed significant results, namely the average attendance increased by 25.42%, and the completion of working on tasks increased by 13.28%. The effectiveness of the IGOPA Partnership model yields a value of 0.676 on the N-Gain scale, which means the degree of its significance is medium. The model is only tested in a limited rural area in the Regency of Keerom. It needs testing in a wider context for its greater validity and effectivity.
A new type of calcium-rich biochars derived from spent mushroom substrates and their efficient adsorption properties for cationic dyes
Authors: Zhang Haibo , Su Long , Cheng Caiping , Cheng Hongyan , Chang Mingchang , Liu Fenwu , Liu Na , Oh Kokyo 
Published: September 2022

Adsorption is commonly accepted as a most promising strategy in dye wastewater treatment, and the widespread use of adsorption emphasizes the need to explore low-cost but excellent adsorbents. Herein, a low-cost adsorbent (calcium-rich biochar) was developed, which was directly pyrolyzed from spent mushroom substate without any modification. This study evaluated the potential application of two calcium-rich biochars (GSBC and LSBC) derived from spent substrates of Ganoderma lucidum and Lentinus edodes, respectively. The effects of pyrolysis temperature on the calcium-rich biochars characteristics and their adsorption mechanism for cationic dyes (Malachite Green oxalate (MG) and Safranine T (ST)) were studied systematically. The increase in pyrolysis temperature from 350 to 750 °C led to an increase in both biochar ash, Ca content, and specific surface area, which made high-temperature biochars (GS750 and LS750) the superior adsorbents for cationic dyes. Batch adsorption results showed LS750 was more efficient to adsorb dyes than GS750 attributed to its higher Ca content and larger specific surface area. According to the Langmuir model, LS750 had high adsorption capacities of 9,388.04 and 3,871.48 mg g−1 for Malachite green and ST, respectively. The adsorption mechanism of dye MG could be attributed to pore filling, hydrogen bonding, electrostatic interaction, ion exchange, and π-π stacking, while ST adsorption mainly involved pore filling, electrostatic interaction, ion exchange, and π-π stacking. Attributed to their excellent adsorption performance, cheap source, and good reusability, biochars obtained from SMSs were very promising in dyeing wastewater treatment.
Bibliometric analysis of publications on necroptosis from 2001 to 2021
Authors: Liu Yang , Zhou Xiaojiang , Wang Fangfei , Liu Cong , Xie Jun , Guan Le , Xie Yong 
Published: September 2022

Background: Necroptosis plays an important role in inflammation, cancer, and neurodegenerative diseases. In recent years, the number of studies related to necroptosis has increased and research has become increasingly in-depth. This study aimed to summarize the research conducted since 2001 to discover hotspots and trends in the field of necroptosis.Methods: The Web of Science Core database was used to identify global publications on necroptosis from 2001 to 2021. Bibliometric analysis was performed using Rstudio, VOSviewer, and CiteSpace.Results: The number of publications related to necroptosis gradually increased from 2001 to 2021. Vandenabeele P had the most publications at 45. Yuan JY had the most citations at 5,901. Necroptosis research has been dominated by China and Chinese institutions. Cell Death and Disease had the highest number of related publications among the examined journals. Seven of the top 10 most cited papers had more than 500 citations. Necroptosis, cell death, autophagy, injury, cancer, activated B cell nuclear factor kappa-light chain enhancer, and oxidative stress were important keywords in keyword analysis. Recent research has increasingly focused on breast cancer, receptor-interacting serine/threonine protein kinase 1, modulation, pseudokinase mixed lineage kinase domain-like protein, membrane, protection, and cycle.Conclusion: Interest in necroptosis-related research continues to increase steadily, and there is close cooperation between countries and institutions in the field of necroptosis. The study of necroptosis-related molecules and mechanisms, and the relationship between necroptosis and cancer, may be hotspots and directions in future research.
Characterization of light chain c-terminal extension sequence variant in one bispecific antibody
Authors: Lin Jun , Xie Mengyu , Liu Dan , Gao Zhen , Zhao Xiaoyan , Ma Hongxia , Ding Sheng , Li Shu mei , Li Song , Liu Yanling , Zhou Fang , Hu Hao , Chen Tao , Chen He , Xie Min , Yang Bo , Cheng Jun , Ma Mingjun , Nan Yanyang , Ju Dianwen 
Published: September 2022

Protein modifications such as post-translational modifications (PTMs) and sequence variants (SVs) occur frequently during protein biosynthesis and have received great attention by biopharma industry and regulatory agencies. In this study, an aberrant peak near light chain (LC) was observed in the non-reduced capillary electrophoresis sodium dodecyl sulfate (nrCE-SDS) electrophoretogram during cell line development of one bispecific antibody (BsAb) product, and the detected mass was about 944 Da higher than LC. The corresponding peak was then enriched by denaturing size-exclusion chromatography (SEC-HPLC) and further characterized by nrCE-SDS and peptide mapping analyses. De novo mass spectra/mass spectra (MS/MS) analysis revealed that the aberrant peak was LC related sequence variant, with the truncated C-terminal sequence “SFNR” (“GEC”deleted) linked with downstream SV40 promotor sequence “EAEAASASELFQ”. The unusual sequence was further confirmed by comparing with the direct synthetic peptide “SFNREAEAASASELFQ”. It was demonstrated by mRNA sequencing of the cell pool that the sequence variant was caused by aberrant splicing at the transcription step. The prepared product containing this extension variant maintained well-folded structure and good functional properties though the LC/Heavy chain (HC) inter-chain disulfide was not formed. Several control strategies to mitigate the risk of this LC related sequence variant were also proposed.
Outcomes of atherectomy in treating severely calcified coronary lesions in patients with reduced left ventricular ejection fraction: A systematic review and meta-analysis
Authors: Abusnina Waiel , Mostafa Mostafa Reda , Al-Abdouh Ahmad , Radaideh Qais , Ismayl Mahmoud , Alam Mahboob , Shah Jaffer , Yousfi Noraldeen El , Paul Timir K. , Ben-Dor Itsik , Dahal Khagendra 
Published: September 2022

BackgroundSeverely calcified coronary lesions with reduced left ventricular (LV) function result in worse outcomes. Atherectomy is used in treating such lesions when technically feasible. However, there is limited data examining the safety and efficacy of atherectomy without hemodynamic support in treating severely calcified coronary lesions in patients with reduced left ventricular ejection fraction (LVEF).ObjectiveTo evaluate the clinical outcomes of atherectomy in patient with reduced LVEF.MethodsWe searched PubMed, Cochrane CENTRAL Register and ClinicalTrials.gov (inception through July 21, 2021) for studies evaluating the outcomes of atherectomy in patients with severe LV dysfunction. We used random-effect model to calculate risk ratio (RR) with 95% confidence interval (CI). The endpoints were in-hospital and long term all-cause mortality, cardiac death, myocardial infarction (MI), and target vessel revascularization (TVR).ResultsA total of 7 studies consisting of 2,238 unique patients were included in the analysis. The median follow-up duration was 22.4 months. The risk of in-hospital all-cause mortality using atherectomy in patients with severely reduced LVEF compared to the patients with moderate reduced or preserved LVEF was [2.4vs.0.5%; RR:5.28; 95%CI 1.65–16.84; P = 0.005], the risk of long term all-cause mortality was [21 vs. 8.8%; RR of 2.84; 95% CI 1.16–6.95; P = 0.02]. In-hospital TVR risk was 2.0 vs. 0.6% (RR: 4.15; 95% CI 4.15–15.67; P = 0.04) and long-term TVR was [6.0 vs. 9.9%; RR of 0.75; 95% CI 0.39–1.42; P = 0.37]. In-hospital MI was [7.1 vs. 5.4%; RR 1.63; 95% CI 0.91–2.93; P = 0.10], long-term MI was [7.5 vs. 5.7; RR 1.74; 95%CI 0.95–3.18; P = 0.07).ConclusionOur meta-analysis suggested that the patients with severely reduced LVEF when using atherectomy devices experienced higher risk of clinical outcomes in the terms of all-cause mortality and cardiac mortality. As we know that the patients with severely reduced LVEF are inherently at increased risk of adverse clinical outcomes, this information should be considered hypothesis generating and utilized while discussing the risks and benefits of atherectomy in such high risk patients. Future studies should focus on the comparison of outcomes of different atherectomy devices in such patients. Adjusting for the inherent mortality risk posed by left ventricular dysfunction may be a strategy while designing a study.
Is intracrinology of endometriosis relevant in clinical practice? A systematic review on estrogen metabolism
Authors: Mercorio Antonio , Giampaolino Pierluigi , Romano Andrea , Dällenbach Patrick , Pluchino Nicola 
Published: September 2022

Endometriosis is a chronic, multifactorial, estrogen-dependent disease. The abnormal endocrine microenvironment of endometriosis lesions is considered a main feature and multiple enzymatic pathways leading to local increased synthesis of estrogens have been identified. However, the relevance of intracrinology in clinical practice is still lacking. Medline, Embase, Scopus database were systematically searched for studies reporting on local estrogens metabolism of endometriotic lesions. The main enzymatic pathways involved in the intracrinology of endometriosis such as aromatase (CYP19A1), 17β-hydroxysteroid dehydrogenase (HSD17B) type 1, type 2 and type 5, steroid sulfatase (STS), estrogen sulfotransferase (SULT1E1) were assessed with a critical perspective on their role in disease endocrine phenotyping, drug resistance and as therapeutic targets. Overall, studies heterogeneity and missing clinical data affect the interpretation of the clinical role of these enzymes. Although the use of some drugs such as aromatase inhibitors has been proposed in clinical practice for two decades, their potential clinical value is still under investigation as well as their modality of administration. A closer look at new, more realistic drug targets is provided and discussed. Altered expression of these key enzymes in the lesions have far reaching implication in the development of new drugs aimed at decreasing local estrogenic activity with a minimal effect on gonadal function; however, given the complexity of the evaluation of the expression of the enzymes, multiple aspects still remains to be clarified.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022311329, identifier CRD42022311329.
Regulation and bioinformatic analysis of circ_0015891/miR-129-1-3p axis in methamphetamine-induced dopaminergic apoptosis
Authors: Deng Bingpeng , Tang Xuan , Wang Yong 
Published: September 2022

Methamphetamine (METH) abuse can result in severe neurotoxicity, for which the mechanism is not yet clear. In the present study, we investigated the role of noncoding RNAs in METH-induced dopaminergic neurotoxicity, and analyzed the underlying mechanism using bioinformatic methods. We confirmed by flow cytometry that miR-129-1-3p is involved in promoting dopaminergic apoptosis under METH treatment and its role could be inhibited by a high concentration of circ_0015891. Also, we combined transcriptomic data with bioinformatics to explore the downstream mechanism of miR-129-1-3p regulation of METH-induced apoptosis, highlighted the potentially pivotal figure of response to nutrition. Further bioinformatic analysis of circ_0015891 was conducted as well and showed that circ_0015891 was the sponge of various microRNAs that effect apoptosis by different mechanisms. Collectively, we found a novel circ_0015891/miR-129-1-3p axis that may be a promising therapeutic target for METH-induced dopaminergic neurotoxicity.
Forecast calibrations of surface air temperature over Xinjiang based on U-net neural network
Authors: Zhu Yanhe , Zhi Xiefei , Lyu Yang , Zhu Shoupeng , Tong Hua , Mamtimin Ali , Zhang Hailiang , Huo Wen 
Published: September 2022

In this study, a deep learning method named U-net neural network is utilized to calibrate the gridded forecast of surface air temperature from the Global Ensemble Forecasting System (GEFS), with forecast lead times of 1–7 days in Xinjiang. The calibration performance of U-net is compared with three conventional postprocessing methods: unary linear regression (ULR), the decaying averaging method (DAM) and Quantile Mapping (QM). Results show that biases of the raw GEFS forecasts are mainly distributed in the Altai Mountains, the Junggar Basin, the Tarim Basin and the Kunlun Mountains. The four postprocessing methods effectively improve the forecast skills for all lead times, whereas U-net shows the best correction performance with the lowest mean absolute error (MAE) and the highest hit rate of 2°C (HR2) and pattern correlation coefficient (PCC). The U-net model considerably reduces the warm biases of the raw forecasts. The skill improvement magnitudes are greater in southern than northern Xinjiang, showing a higher mean absolute error skill score (MAESS). Furthermore, in order to distinguish the error sources of each forecasting scheme and to reveal their capabilities of calibrating errors of different sources, the error decomposition analysis is carried out based on the mean square errors. It shows that the bias term is the leading source of error in the raw forecasts, and barely changes as the lead time increases, which is mainly distributed in Tarim Basin and Kunlun Mountains. All four forecast calibrations effectively reduce the bias and distribution error of the raw forecasts, but only the U-net significantly reduces the sequence error.