bluuebunny/crossref_metadata_2025_split huggingface dataset:
Penerapan Model Inkuiri Terbimbing untuk Meningkatkan Kemampuan Berpikir Kritis dan Sikap Ilmiah Siswa dalam Pembelajaran IPA Siswa Kelas V SDN 9 Bengkulu Tengah
Authors: Julimah Julimah Julimah , Winarni Endang Widi , Hmbali Daimun Hambali 
Published: June 2021

Penelitian ini bertujuan untuk meningkatkan aktivitas, kemampuan berpikir kritis, dan sikap ilmiah siswa pembelajaran IPA melalui model inkuiri terbimbing di kelas V SDN 9 Bengkulu Tengah. Penelitian yang dilakukan adalah penelitian tindakan kelas (Classroom action research) sebanyak 3 siklus. Instrumen yang digunakan yaitu lembar observasi aktivitas pembelajaran, tes kemampuan berpikir kritis, dan lembar observasi sikap ilmiah. Hasil yang dicapai dalam penelitian ini yaitu: (1) aktivitas pembelajaran siklus I sebesar 63,64% dengan kategori Cukup, siklus II sebesar77,27% dengan kategori Baik, dan siklus III sebesar 90,91% dengan kriteria Sangat Baik; (2) kemampuan berpikir kritis untuk indikator memfokuskan pertanyaan siklus I sebesar 76,25%, siklus II sebesar 86,25%, dan siklus III sebesar 95%, indikator menjelaskan secara sederhana siklus I sebesar 58,33%, siklus II sebesar 72,50%, dan siklus III sebesar 76,67%, indikator membangun keterampilan dasar siklus I sebesar 60%, siklus II sebesar 81,67%, dan siklus III sebesar 88,33%, indikator menyimpulkan siklus I sebesar 91,25%, siklus II sebesar 97,50%, dan siklus III sebesar 100%; (3) sikap ilmiah siklus I untuk indikator rasa ingin tahu yang tinggi sebesar 76,20%, siklus II sebesar 79,30%, dan siklus III sebesar 82,95% siklus I untuk indikator ulet dan tidak putus asa siklus I sebesar 76,45%, siklus II sebesar 79,40%, dan siklus III sebesar 83,80%, indikator kreatif siklus I sebesar 72,85%, siklus II sebesar 77,05%, dan pada siklus III sebesar 82,95%. Berdasarkan hasil penelitian dapat disimpulkan bahwa penerapan model inkuiri terbimbing dapat meningkatkan kemampuan berpikir kritis dan sikap ilmiah siswa Kelas V SDN 9 Bengkulu Tengah.
Peningkatan Kemampuan Kompetensi Matematika Pendidikan Dasar melalui Pendekatan Investigasi Berbantuan Manipulatif
Authors: Susanta Agus Susanta 
Published: June 2021

Mathematical competence abilities of elementary education students play an important role in the success of learning mathematics in elementary schools. The purpose of this study was to describe an increase in students' understanding of mathematical concepts through a manipulative assisted investigative approach. The research subjects were students of the first semester elementary teachers education postgrade students who took Elementary education mathematics courses in the 2019/2020 academic year. This research is a classroom action research using data collection methods in the form of observation and tests results. Furthermore, the data were analyzed using data reduction and data triangulation. The results showed that the application of investigative learning increased the ability to understand deep mathematical concepts. The manipulative assisted mathematical investigative approach increases students in carrying out exploration, making assumptions, and making conclusions.
Pengembangan Lembar Kegiatan Mahasiswa (LKM) dengan Model Project-Based Learning (PjBL) untuk Meningkatkan Literasi Sains pada Perkuliahan IPA Pendidikan Dasar
Authors: Winarni Endang Widi , Koto Irwan Koto 
Published: June 2021

Tujuan penelitian ini yakni mendeskripsikan: pengembangan, kelayakan, dan dampak LKM model PjBL untuk meningkatkan literasi sains aspek pengetahuan, sikap, konteks, dan kompetensi mahasiswa. Jenis penelitian ini pengembangan dengan model ADDIE- Analysis, Design, Development, Implementation, dan Evaluation. Subyek penelitian yakni mahasiswa S2 Pendidikan Dasar FKIP Universitas Bengkulu semester I tahun2019/2020. Obyek penelitian yakni LKM dengan model PjBL. Instrumen dalam penelitian yakni: (1) lembar validasi produk, (2) lembar keterbacaan produk, dan (3) lembar penilaian literasi sains aspek sikap, konteks, pengetahuan, dan kompetensi. Teknik analisis data secara deskriptif-kuantitatif. Hasil penelitian menunjukkan: (1) Hasil analisis silabus dan RPS Mata Kuliah IPA Pendidikan Dasar pada lingkup Biologi dan Kimia. (2) Kelayakan LKM PjBL dari validasi ahli dan uji keterbacaan oleh mahasiswa secara rata-rata mencapai kategori sangat tinggi. (3) Dampak penggunaan LKM PjBL terhadap literasi aspek pengetahuan secara rata-rata mengalami peningkatan sebesar sebesar 86,14%, aspek sikap mengalami peningkatan sebesar 48,49%, aspek kompetensi mengalami peningkatan sebesar 25%, dan aspek konteks mengalami peningkatan sebesar 24,27%. Simpulan: (1) LKM dengan model PjBLhasil pengembangan yakni Pertumbuhan dan Perkembangan pada Tumbuhan dan Hewan, Interaksi dalam Ekosistem, dan Metabolisme pada Tubuh Manusia. (2) LKM PjBL hasil pengembangan layak digunakan. (3) LKM PjBL dapat meningkatkan literasi sains secara berurutan dari yang paling tinggi sampai yang paling rendah yakni aspek pengetahuan, sikap, kompetensi, dan konteks.
Pengaruh Model Pembelajaran Project Based Learning (Pjbl) terhadap Kemampuan Berpikir Kreatif dalam Pembelajaran Tematik Muatan Pelajaran IPA Peserta Didik Kelas V SD Negeri
Authors: Febriyanti Arida Febriyanti , Susanta Agus Susanta , Muktadir Abdul Muktadir 
Published: June 2021

Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran PjBL terhadap kemampuan berpikir kreatif dalam pembelajaran Tematik muatan pelajaran IPA peserta didik kelas V SD Negeri. Penelitian ini merupakan penelitian kuantitatif. Metode yang digunakan ialah quasy experiment. Desain pada penelitian ini yaitu The Matching Only Pretest-Posttes Control Group Design. Populasi dalam penelitian ini adalah seluruh peserta didik kelas V di SD Negeri Gugus I Kecamatan Arga Makmur Kabupaten Bengkulu Utara terakreditasi A. Sampel dalam penelitian ialah siswa kelas VC SDN 009 Bengkulu Utara berjumlah 21 orang sebagai kelas eksperimen, dan SDN 016 Bengkulu Utara berjumlah 21 orang sebagai kelas kontrol. Instrumen yang digunakan berupa tes tertulis terdiri atas dimensi kemampuan berpikir lancar (fluency), kemampuan berpikir luwes (flexibility), kemampuan berpikir orisinil (originality), kemampuan berpikir merinci (elaboration), dan kemampuan berpikir menilai (evaluation). Untuk mendeskripsikan proyek pop up book menggunakan lembar observasi tahapan proses dan tahapan hasil proyek. Hasil penelitian menunjukkan bahwa terdapat pengaruh signifikan model pembelajaran PjBL terhadap kemampuan berpikir kreatif dalam pembelajaran tematik muatan pelajaran IPA peserta didik kelas V SD Negeri. Penelitian ini juga menghasilkan proyek pop up book dua dimensi dengan baik sehingga berpengaruh terhadap dimensi kemampuan berpikir lancar (fluency), kemampuan berpikir luwes (flexibility), kemampuan berpikir orisinil (originality kemampuan berpikir merinci (elaboration), kemampuan berpikir menilai (evaluation).
Hak-Hak Perempuan Enggano Dalam Sistem Kekerabatan Matrilineal
Authors: Ramadhani Susi , Wardhani Noeke Sri , Putri Lentiara 
Published: June 2021

Penelitian ini bertujuan menggali pengetahuan tentang sistem matrilineal yang dianut oleh suku Enggano dan menginventarisasi hak-hak apa saja yang dimiliki oleh perempuan suku Enggano dalam sistem matrilineal serta mendiskripsikan implementasi hak-hak tersebut dalam kehidupan masyarakat suku Enggano di Pulau Enggano. Penelitian ini adalah penelitian hukum empiris. Data diperoleh dari masyarakat, sehingga akan mendapatkan data yang langsung terjadi dalam masyarakat. Hasil penelitian menunjukkan bahwa pengertian matrilineal dalam sistem kekerabatan sudah dimengerti oleh sebagian besar Ketua adat di Enggano. Sistem matrilineal yang menurunkan garis keturunan dari pihak Ibu kepada anak perempuan dan anak laki-lakinya. Anak perempuanlah yang nanti dapat menurunkan garis keturunan suku kepada anak-anaknya, tetapi terdapat pengecualian apabila anak laki-laki adalah anak tunggal maka suku Ibunya dapat diturunkan kepadanya. Sengketa terhadap hak-hak perempuan Enggano belum pernah terjadi di masyarakat adat Enggano. Penyelesaian sengketa apabila terjadi maka diselesaikan secara kekeluargaan terlebih dahulu apabila tidak dicapai kesepakatan maka dilanjutkan ke musywarah adat dengan melibatkan pengurus suku seperti Kepala Pintu Suku, Ketua Adat, Bendahara Adat, tokoh masyarakat, perangkat Desa dan pihak yang bersengketa.
Effect of Low-Density Lipoprotein Cholesterol Goal Achievement on Vascular Physiology Evaluated by Quantitative Flow Ratio in Patients Who Underwent Percutaneous Coronary Intervention
Authors: Chen Long , Chen Qin , Zhong Jiaxin , Ye Zhen , Ye Mingfang , Yan Yuanming , Chen Lianglong , Luo Yukun 
Published: June 2021

Purpose: The change in coronary physiology from lipid-lowering therapy (LLT) lacks an appropriate method of examination. Quantitative flow ratio (QFR) is a novel angiography-based approach allowing rapid assessment of coronary physiology. This study sought to determine the impact of low-density lipoprotein cholesterol (LDL-C) goal achievement on coronary physiology through QFR.Methods: Cases involving percutaneous coronary intervention (PCI) and 1-year angiographic follow-up were screened and assessed by QFR analysis. Patients were divided into two groups according to the LDL-C level at the 1-year follow-up: (1) goal-achievement group (LDL-C &lt; 1.8 mmol/L or reduction of ≥50%, n = 146, lesion = 165) and (2) non-achievement group (n = 286, lesion = 331). All QFR data and major adverse cardiovascular and cerebrovascular events (MACCEs) at 1 year were compared between groups.Results: No differences between the groups in quantitative coronary angiography (QCA) data or QFR post-PCI were found. At the 1-year follow-up, lower percentage diameter stenosis (DS%) and percentage area stenosis (AS%) were recorded in the goal-achievement group (27.89 ± 10.16 vs. 30.93 ± 12.03, p = 0.010, 36.57 ± 16.12 vs. 41.68 ± 17.39, p = 0.003, respectively). Additionally, a better change in QFR was found in the goal-achievement group (0.003 ± 0.068 vs. −0.018 ± 0.086, p = 0.007), with a lower incidence of physiological restenosis and MACCEs (2.1 vs. 8.4%, p = 0.018, 5.4 vs. 12.6%, p = 0.021, respectively).Conclusion: Evaluated by QFR, patients who achieved the LDL-C goal appear to have a better coronary physiological benefit. This group of patients also has a better clinical outcome.
The Postprandial Glycaemic and Hormonal Responses Following the Ingestion of a Novel, Ready-to-Drink Shot Containing a Low Dose of Whey Protein in Centrally Obese and Lean Adult Males: A Randomised Controlled Trial
Authors: Smith Kieran , Taylor Guy S. , Allerton Dean M. , Brunsgaard Lise Hoej , Bowden Davies Kelly A. , Stevenson Emma J. , West Daniel J. 
Published: June 2021

PurposeElevated postprandial glycaemia [PPG] increases the risk of cardiometabolic complications in insulin-resistant, centrally obese individuals. Therefore, strategies that improve PPG are of importance for this population. Consuming large doses of whey protein [WP] before meals reduces PPG by delaying gastric emptying and stimulating the secretion of the incretin peptides, glucose-dependent insulinotropic polypeptide [GIP] and glucagon-like peptide 1 [GLP-1]. It is unclear if these effects are observed after smaller amounts of WP and what impact central adiposity has on these gastrointestinal processes.MethodsIn a randomised-crossover design, 12 lean and 12 centrally obese adult males performed two 240 min mixed-meal tests, ~5–10 d apart. After an overnight fast, participants consumed a novel, ready-to-drink WP shot (15 g) or volume-matched water (100 ml; PLA) 10 min before a mixed-nutrient meal. Gastric emptying was estimated by oral acetaminophen absorbance. Interval blood samples were collected to measure glucose, insulin, GIP, GLP-1, and acetaminophen.ResultsWP reduced PPG area under the curve [AUC0–60] by 13 and 18.2% in the centrally obese and lean cohorts, respectively (both p &lt;0.001). In both groups, the reduction in PPG was accompanied by a two-three-fold increase in GLP-1 and delayed gastric emptying. Despite similar GLP-1 responses during PLA, GLP-1 secretion during the WP trial was ~27% lower in centrally obese individuals compared to lean (p = 0.001). In lean participants, WP increased the GLP-1ACTIVE/TOTAL ratio comparative to PLA (p = 0.004), indicative of reduced GLP-1 degradation. Conversely, no treatment effects for GLP-1ACTIVE/TOTAL were seen in obese subjects.ConclusionPre-meal ingestion of a novel, ready-to-drink WP shot containing just 15 g of dietary protein reduced PPG in lean and centrally obese males. However, an attenuated GLP-1 response to mealtime WP and increased incretin degradation might impact the efficacy of nutritional strategies utilising the actions of GLP-1 to regulate PPG in centrally obese populations. Whether these defects are caused by an individual’s insulin resistance, their obese state, or other obesity-related ailments needs further investigation.Clinical Trial RegistrationISRCTN.com, identifier [ISRCTN95281775]. https://www.isrctn.com/.
Microbiome Preprocessing Machine Learning Pipeline
Authors: Jasner Yoel , Belogolovski Anna , Ben-Itzhak Meirav , Koren Omry , Louzoun Yoram 
Published: June 2021

Background16S sequencing results are often used for Machine Learning (ML) tasks. 16S gene sequences are represented as feature counts, which are associated with taxonomic representation. Raw feature counts may not be the optimal representation for ML.MethodsWe checked multiple preprocessing steps and tested the optimal combination for 16S sequencing-based classification tasks. We computed the contribution of each step to the accuracy as measured by the Area Under Curve (AUC) of the classification.ResultsWe show that the log of the feature counts is much more informative than the relative counts. We further show that merging features associated with the same taxonomy at a given level, through a dimension reduction step for each group of bacteria improves the AUC. Finally, we show that z-scoring has a very limited effect on the results.ConclusionsThe prepossessing of microbiome 16S data is crucial for optimal microbiome based Machine Learning. These preprocessing steps are integrated into the MIPMLP - Microbiome Preprocessing Machine Learning Pipeline, which is available as a stand-alone version at: https://github.com/louzounlab/microbiome/tree/master/Preprocess or as a service at http://mip-mlp.math.biu.ac.il/Home Both contain the code, and standard test sets.
Enhancement of Responsivity in Solar-Blind UV Detector With Back-Gate MOS Structure Fabricated on β-Ga2O3 Films
Authors: Meng Dongdong D. , Ji Xueqiang Q. , Wang Dafang F. , Chen Zhengwei W. 
Published: June 2021

Monoclinic Ga2O3 (β-Ga2O3) films were grown on Si/SiO2 by using MOCVD. Then, we fabricated the solar-blind photodetector with a back-gate MOS structure. The device exhibited obvious photoresponse under 254-nm UV light illumination, and the photocurrent increased by five orders of magnitude, which could be controlled by VGS. The current generated under dark conditions could also be regulated by VGS and tended to constant when the regulation of VGS was reaching saturation. Meanwhile, VGS was confirmed to have a certain ability to regulate the photocurrent. The present device demonstrated excellent stability and fast response (rise) and recovery (decay) times under the 254-nm light illumination as well as a responsivity of 417.5 A/W, suggesting a valuable application in solar-blind UV photodetectors.
Orchestrating Extracellular Vesicle With Dual Reporters for Imaging and Capturing in Mammalian Cell Culture
Authors: Levy Daniel , Do Mai Anh , Zhang Jiayi , Brown Annie , Lu Biao 
Published: June 2021

Background: Recent technological advancements have enabled live-cell imaging of intracellular organelles to monitor their biogenesis in mammalian cells. However, applying this method to gain insight into extracellular organelles, such as extracellular vesicles (EVs), presents unique challenges that require special considerations in design and engineering.Results: We have developed a dual-reporter system that combines genetic fusion, fluorescence microcopy and magnetic beads capture of EVs to study the biogenesis of EVs in mammalian cell cultures. First, we genetically produced a series of reporters by fusing a green fluorescent protein (GFP) and an affinity peptide (6xHis), with either the endogenous transmembrane protein, CD63, or EVs targeting vesicular stomatitis viral glycoprotein (VSVG). Transfection of these reporters into human 293T cells resulted in expression and integration of these reporters into pre-exosome compartments, which were subsequently released into the culture medium. Confocal imaging and nano-particle tracking analysis demonstrated that EVs were appropriately labeled and exhibited a single dominant peak in the 80–110 nm size range, indicating that isolated EVs were comprised of micro-vesicles and/or exosome subpopulations. Incubation of isolated EVs with nickel-coated magnetic beads resulted in successful capture of GFP-positive EVs. Finally, addition of EVs into culture medium was able to reveal the cellular uptake of GFP-labeled EVs by recipient cells. Taken together, our dual-reporter system provides a powerful method for both monitoring and capturing of EVs in mammalian cell culture systems.Conclusion: A dual-reporter system provides a robust tool to study the life cycle of EVs in mammalian cells from biogenesis and excretion to cellular uptake.
Comparative Effectiveness of Interventions for Global Cognition in Patients With Mild Cognitive Impairment: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials
Authors: Xu Zijun , Sun Wen , Zhang Dexing , Chung Vincent Chi-Ho , Sit Regina Wing-Shan , Wong Samuel Yeung-Shan 
Published: June 2021

Background: There is a lack of study comprehensively comparing the effects of all existing types of interventions on global cognition among patients with mild cognitive impairment (MCI).Aims: To conduct a network meta-analysis to evaluate the effectiveness of different types of interventions in improving global cognition among MCI patients.Methods: Randomized controlled trials (RCTs) assessing the effects of pharmacological or non-pharmacological interventions on the Mini-Mental State Examination (MMSE) in MCI patients were included. Two authors independently screened the studies and extracted the data. Random-effects network meta-analysis was used to synthesize the data. Results were summarized as mean difference (MD) and corresponding 95% CIs of MMSE in forest plots.Results: Fifty RCTs with 5,944 MCI patients met the inclusion criteria and 49 were included in the network meta-analysis. Compared with the control group, cognition-based intervention (MD = 0.80, 95% CI 0.04–1.57), physical exercise (MD = 1.92, 95% CI 1.19–2.64), combined physical exercise and cognition-based intervention (MD = 1.86, 95% CI 0.60–3.12), and antioxidants (MD = 0.94, 95% CI 0.04–1.83) had positive effects on MMSE in participants with MCI. There was no significant difference between all other interventions included and the control group.Conclusions: This study suggested that cognition-based intervention, physical exercise, combined physical exercise and cognition-based intervention, and antioxidants could be among the most effective interventions on global cognition in older adults with MCI. The availability, acceptability, and cost-effectiveness of interventions should also be taken into consideration when selecting interventions.Registration: PROSPERO CRD42020171985.
Variability in cTBS Aftereffects Attributed to the Interaction of Stimulus Intensity With BDNF Val66Met Polymorphism
Authors: Harvey Denise Y. , DeLoretta Laura , Shah-Basak Priyanka P. , Wurzman Rachel , Sacchetti Daniela , Ahmed Ahmed , Thiam Abdou , Lohoff Falk W. , Faseyitan Olufunsho , Hamilton Roy H. 
Published: June 2021

Objective: To evaluate whether a common polymorphism (Val66Met) in the gene for brain-derived neurotrophic factor (BDNF)—a gene thought to influence plasticity—contributes to inter-individual variability in responses to continuous theta-burst stimulation (cTBS), and explore whether variability in stimulation-induced plasticity among Val66Met carriers relates to differences in stimulation intensity (SI) used to probe plasticity.Methods: Motor evoked potentials (MEPs) were collected from 33 healthy individuals (11 Val66Met) prior to cTBS (baseline) and in 10 min intervals immediately following cTBS for a total of 30 min post-cTBS (0 min post-cTBS, 10 min post-cTBS, 20 min post cTBS, and 30 min post-cTBS) of the left primary motor cortex. Analyses assessed changes in cortical excitability as a function of BDNF (Val66Val vs. Val66Met) and SI.Results: For both BDNF groups, MEP-suppression from baseline to post-cTBS time points decreased as a function of increasing SI. However, the effect of SI on MEPs was more pronounced for Val66Met vs. Val66Val carriers, whereby individuals probed with higher vs. lower SIs resulted in paradoxical cTBS aftereffects (MEP-facilitation), which persisted at least 30 min post-cTBS administration.Conclusions: cTBS aftereffects among BDNF Met allele carriers are more variable depending on the SI used to probe cortical excitability when compared to homozygous Val allele carriers, which could, to some extent, account for the inconsistency of previously reported cTBS effects.Significance: These data provide insight into the sources of cTBS response variability, which can inform how best to stratify and optimize its use in investigational and clinical contexts.
Identification of Diagnostic Markers for Major Depressive Disorder Using Machine Learning Methods
Authors: Zhao Shu , Bao Zhiwei , Zhao Xinyi , Xu Mengxiang , Li Ming D. , Yang Zhongli 
Published: June 2021

BackgroundMajor depressive disorder (MDD) is a global health challenge that impacts the quality of patients’ lives severely. The disorder can manifest in many forms with different combinations of symptoms, which makes its clinical diagnosis difficult. Robust biomarkers are greatly needed to improve diagnosis and to understand the etiology of the disease. The main purpose of this study was to create a predictive model for MDD diagnosis based on peripheral blood transcriptomes.Materials and MethodsWe collected nine RNA expression datasets for MDD patients and healthy samples from the Gene Expression Omnibus database. After a series of quality control and heterogeneity tests, 302 samples from six studies were deemed suitable for the study. R package “MetaOmics” was applied for systematic meta-analysis of genome-wide expression data. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic effectiveness of individual genes. To obtain a better diagnostic model, we also adopted the support vector machine (SVM), random forest (RF), k-nearest neighbors (kNN), and naive Bayesian (NB) tools for modeling, with the RF method being used for feature selection.ResultsOur analysis revealed six differentially expressed genes (AKR1C3, ARG1, KLRB1, MAFG, TPST1, and WWC3) with a false discovery rate (FDR) &lt; 0.05 between MDD patients and control subjects. We then evaluated the diagnostic ability of these genes individually. With single gene prediction, we achieved a corresponding area under the curve (AUC) value of 0.63 ± 0.04, 0.67 ± 0.07, 0.70 ± 0.11, 0.64 ± 0.08, 0.68 ± 0.07, and 0.62 ± 0.09, respectively, for these genes. Next, we constructed the classifiers of SVM, RF, kNN, and NB with an AUC of 0.84 ± 0.09, 0.81 ± 0.10, 0.73 ± 0.11, and 0.83 ± 0.09, respectively, in validation datasets, suggesting that the SVM classifier might be superior for constructing an MDD diagnostic model. The final SVM classifier including 70 feature genes was capable of distinguishing MDD samples from healthy controls and yielded an AUC of 0.78 in an independent dataset.ConclusionThis study provides new insights into potential biomarkers through meta-analysis of GEO data. Constructing different machine learning models based on these biomarkers could be a valuable approach for diagnosing MDD in clinical practice.