bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS SOAL MATERI SEGIEMPAT DAN SEGITIGA SMP KELAS VII KURIKULUM 2013 BERDASARKAN TAKSONOMI BLOOM REVISI
Authors: Efriyanti Adelina , B Nurul Astuty Yensy , Susanta Agus , Irsal Nur Aliyyah 
Published: August 2022

ABSTRAK Penelitian ini bertujuan untuk mengetahui tingkat kognitif tentang materi, dan Segitiga berdasarkan teori Taksonomi Bloom Revisi. Sumber data dalam penelitian ini adalah Buku Teks Matematika Kelas VII Semeseter Genap Kurikulum 2013 Revisi 2017 yang disusun oleh Abdur Rahman Asy'ari, dkk. Penerbit Pusat Kurikulum dan Perbukuan, Balitbang, Kemendikbud. Jenis penelitian ini adalah Penelitian Deskriptif. Instrumen yang digunakan lembar klasifikasi soal.Hasil penelitian pada materi Segiempat dan Segitiga adalah klasifikasi untuk enam tingkat kognitif soal memiliki komponennya yaitu C1-mempertimbangkan 3,37% (5 butir pertanyaan), C2-Memahami 18,92% (28 pertanyaan pertanyaan), C3-Mengaplikasikan 58, 11% (86 butir pertanyaan), C4-Menganalisis 18,25% (27 butir pertanyaan), C5-Mengevaluasi 1, Kata Kunci : Kurikulum 2013, Tingkat Kognitif, Teori Taksonomi Bloom ABSTRAK The purpose of this research is to understand cognitive level of exercise question on Quadrilateral and Triangle topics according to Revised Bloom’s Taxonomy Theory. 2017 revision of 2013 Curriculum Mathematics text book for 7thKelas, semester genap yang ditulis oleh Abdur Rahman Asy'ari, dkk dan diterbitkan oleh Pusat Kurikulum dan Perbukuan, Balitbang, Kemendikbud, digunakan sebagai sumber data untuk penelitian ini. Penelitian ini merupakan penelitian tipe deskriptif. Instrumen yang digunakan dalam penelitian ini adalah lembar klasifikasi soal. Hasil penelitian topik Segi Empat dan Segitiga ini analisis topik klasifikasi topik latihan soal untuk masing-masing komponen sebagai berikut: C1-Mengingat 3,37% (5 soal), C2-Memahami 18,92% (28 soal), C3 -Menerapkan 58 , 11% (86 pertanyaan), C4-Menganalisis 18,25% (27 pertanyaan), C5-Mengevaluasi 1,35% (2 pertanyaan) dan C6-Membuat 0% (tidak ada sama sekali). Kata Kunci : Kurikulum 2013, Tingkat Kognitif, Teori Taksonomi Bloom
ANALISIS UJI KOMPETENSI MATERI BILANGAN PADA BUKU KURIKULUM 2013 TERBITAN KEMENDIKBUD BERDASARKAN TAKSONOMI BLOOM REVISI
Authors: Winarni Niken Ratna , Yensy B Nurul Astuty , Agustinsa Ringki , Siagian Teddy Alfra 
Published: August 2022

ABSTRAKPenelitian ini bertujuan untuk mengetahui tingkat kognitif soal uji kompetensi pada materi bilangan berdasarkan teori Taksonomi Bloom Revisi. Jenis penelitian ini adalah penelitian deskriptif dengan menggunakan instrumen penelitian berupa lembar klasifikasi soal. Hasil penelitian diperoleh enam tingkat kognitif soal dengan persentase C1-Mengingat 0% (tidak ada sama sekali), C2-Memahami sebesar 6,90% (2 butir soal), C3-Mengaplikasikan sebesar 68,96% (20 butir soal), C4-Menganalisis sebesar 20,69% (6 butir soal), C5-Mengevaluasi sebesar 3,45% (1 butir soal), dan C6-Mencipta 0% (tidak ada sama sekali). Hal ini menunjukkan bahwa persentase tingkat kognitif mengaplikasikan (C3) lebih besar dari tingkat kognitif lainnya, sehingga soal uji kompetensi materi bilangan pada buku Matematika kelas VII kurikulum 2013 edisi revisi 2017 Kemendikbud cenderung melatih kemampuan peserta didik dalam menerapkan hasil belajar. Kata kunci : Kurikulum 2013, Taksonomi Bloom, Tingkat KognitifABSTRACTThis research aimed to determine the cognitive level of competency test questions on number topic based on Revised Bloom's Taxonomy theory. This research was descriptive research with using research instruments in the form of question classification sheets. The results of this research obtained six cognitive levels of question with the percentage C1-Remembering 0% (none at all), C2-Understanding 6,90% (2 items), C3-Applying 68,96% (20 items), C4-Analyzing 20,69% (6 items), C5-Evaluating 3,45% (1 items), and C6-Creating 0% (none at all).This showed that the percentage of the applying cognitive level was greater than other cognitive levels, so that the number topic competency test question in the Mathematics Book Class VII Curriculum 2013 revised edition 2017 Kemendikbud tend to trained students’ abilities in applying learning outcomes. Keywords : 2013 Curriculum, Bloom’s Taxonomy, Cognitive Level
Global research trends in extracellular vesicles based on stem cells from 1991 to 2021: A bibliometric and visualized study
Authors: Lin Jianjing , Yang Zhen , Wang Li , Xing Dan , Lin Jianhao 
Published: August 2022

Objective: With the development of extracellular vesicles (EVs) based on stem cells research all over the world, our present study was aiming to discover the global trends in this field.Methods: All publications related to EVs based on stem cells from 1991 to 2021 were collected from the Science Citation Index-Expanded of Web of Science Subsequently, the data were evaluated using the bibliometric methodology. In terms of visualized study, the VOS viewer software was performed to investigate the bibliographic coupling, co-citation, co-authorship, and co-occurrence trends, and last for the publication’s trends involved in the field of EVs based on stem cells.Results: A total of 8,208 publications were retrieved and the relative number of global publications and research interests were increasing every year especially in recent 5 years. China rank top one in terms of total publications, prolific authors, and funds, whereas the USA made the greatest contributions with the most total citations and highest H-index to the global research. Stem cell research therapy contributed the highest publications, whereas the journal of PLOS ONE showed the best total link strength. The Shanghai Jiao Tong University, University of California System, and Harvard University were the most contributive institutions. The global studies could be divided into six clusters as follows: cancer research, musculoskeletal system research, respiratory system research, urinary system and endocrine system research, nerve system research, and cardiovascular system research. All the directions were predicted to still hotspots in near future researches in this field.Conclusion: The total number of publications about EVs based stem cells would be increasing according to the current global trends. China and the USA was the largest contributors in this field. Further efforts should be put in the directions of cancer research, musculoskeletal system research, respiratory system research, urinary system and endocrine system research, nerve system research, as well was cardiovascular system research in this field of EVs based stem cells.
Electrospun aligned poly(ε-caprolactone) nanofiber yarns guiding 3D organization of tendon stem/progenitor cells in tenogenic differentiation and tendon repair
Authors: Yang Qiao , Li Jianfeng , Su Weiwei , Yu Liu , Li Ting , Wang Yongdi , Zhang Kairui , Wu Yaobin , Wang Ling 
Published: August 2022

Hierarchical anisotropy structure directing 3D cellular orientation plays a crucial role in designing tendon tissue engineering scaffolds. Despite recent development of fabrication technologies for controlling cellular organization and design of scaffolds that mimic the anisotropic structure of native tendon tissue, improvement of tenogenic differentiation remains challenging. Herein, we present 3D aligned poly (ε-caprolactone) nanofiber yarns (NFYs) of varying diameter, fabricated using a dry-wet electrospinning approach, that integrate with nano- and micro-scale structure to mimic the hierarchical structure of collagen fascicles and fibers in native tendon tissue. These aligned NFYs exhibited good in vitro biocompatibility, and their ability to induce 3D cellular alignment and elongation of tendon stem/progenitor cells was demonstrated. Significantly, the aligned NFYs with a diameter of 50 μm were able to promote the tenogenic differentiation of tendon stem/progenitor cells due to the integration of aligned nanofibrous structure and suitable yarn diameter. Rat tendon repair results further showed that bundled NFYs encouraged tendon repair in vivo by inducing neo-collagen organization and orientation. These data suggest that electrospun bundled NFYs formed by aligned nanofibers can mimic the aligned hierarchical structure of native tendon tissue, highlighting their potential as a biomimetic multi-scale scaffold for tendon tissue regeneration.
Synergistic effect of GF9 and streptomycin on relieving gram-negative bacteria-induced sepsis
Authors: Wei Bing , Ma Yingmin 
Published: August 2022

Triggering receptor expressed on myeloid cells-1 (TREM-1) regulates inflammation and promotes a vigorous immune response. GF9 is one of the peptides that inhibit the mTREM-1 signaling pathway, thus reducing the inflammatory mediators in diseases including sepsis. Nanotechnology could offer a new complementary strategy for diseases. Streptomycin is also one treatment of sepsis. However, the role of nanoparticles delivered GF9 combined with streptomycin on sepsis had never been discovered. In the present study, cecal ligation and puncture (CLP) and lipopolysaccharide [LPS, Escherichia coli (E. coli) O111:B4] sepsis models were constructed. SDS-PAGE was used to evaluate the size of nano drugs; Western blot was used to detect the protein levels of MMP2 and TREM-1 in cells. The levels of TNF-α and IL-6 were detected by ELISA. Histopathological changes were observed by HE staining. And the nanomedicines of GF9-HFn/Str were successfully constructed. The size of GF9-HFn/Str is 40 kD. The ferritin-based nanoparticle plays a vital role in delivering streptomycin into cells and tissues. GF9 (1.6 μM) and streptomycin (40 μM) co-delivery nanomedicine showed a better effect on promoting overall survival, decreasing E. coli, significantly suppressed the expression levels of inflammatory factors (TNF-α and IL-6), and can reduce lung injury. Our study demonstrated that combination delivery of nanomedicine GF9 and streptomycin have a better effect on overall survival rate, anti-inflammatory, and anti-bacterial in sepsis. Our present study revealed a new potential therapeutic method for sepsis.
Green synthesis, structure optimization and biological evalution of Rhopaladins’ analog 2–styryl–5-oxopyrrolidine-2- carboxamide RPDPRH on CaSki cells
Authors: Ke Li-Na , Kong Ling-Qi , Zhu Xiu-Lian , Wu Feng-Xu , Chen Qin-Hua , Li Bin , Dong Yun , Wang Hong-Mei , Zeng Xiao-Hua 
Published: August 2022

We have synthesized Rhopaladins’ analog (2E,4E)-4-chlorobenzylidene-2-(4-chlorostyryl)-N-cyclohexyl-1-(4-fluorophenyl)-5-oxopyrrolidine-2-carboxamide (RPDPRH) via a highly facile, inexpensive and green approach and verified the structural superiority of compound RPDPRH through molecular docking. Moreover, we further detected the anti-proliferation, apoptosis and HPV E6/E7 effects of RPDPRH on CaSki cells. Finally, we confirmed that compared with the previous compound (E)-N-(tert-butyl)-2-(4-chlorobenzoyl)-4-(4-fluorobenzylidene)-1-isopropyl-5-oxopyrrolidine-2-carboxamide (RPDPB), RPDPRH could better inhibit proliferation, induce apoptosis, and down-regulate HPV E6/E7 mRNA expression on Caski cells. And preliminary RT-PCR experiments have demonstrated that RPDPRH also could affect the expression of Bcl-2, Bax and Caspase-3 mRNA in Caski cells. In summary, RPDPRH has potential as an effective agent against cervical cancer and will play an important role in our subsequent research.
Pt-Sn alloy shells with tunable composition and structure on Au nanoparticles for boosting ethanol oxidation
Authors: Qian Ningkang , Ji Liang , Li Xiao , Huang Jingbo , Li Junjie , Wu Xingqiao , Yang Deren , Zhang Hui 
Published: August 2022

Combining the core-shell structure with the optimization of surface composition and structure in the shell is a fantastic strategy to enhance the electrocatalytic performances. Here, we synthesized trimetallic Au@PtxSny core-shell nanoparticles (NPs) with tunable composition and structure of Pt-Sn alloyed shells. Impressively, the Au@PtSn core-shell NPs with hexagonal PtSn alloyed shells exhibited the highest mass activity and specific activity toward ethanol oxidation reaction (EOR) in alkaline electrolyte, which are 13.0 and 12.7 times higher than those of the commercial Pt/C. In addition, the Au@PtSn core-shell NPs displayed the best stability compared to commercial Pt/C, with only 44.8% loss vs. 86.8% loss in mass activity after 1,000 s due to the stronger anti-poisoning ability for reaction intermediates. The theory calculations reveal that the introduction of Au core and alloying Pt with Sn both endow Pt with an appropriate d-band center, and thus effectively boosting the EOR activity.
Prognostic significance of troponin increment after percutaneous coronary intervention: A retrospective study
Authors: Li Ya , Li Duanbin , Zhao Liding , Xu Tian , Lv Qingbo , He Jialin , Wang Yao , Zhang Wenbin 
Published: August 2022

ObjectiveThe prognostic significance of troponin elevation following percutaneous coronary intervention (PCI) remains debated. This study aimed to evaluate the association between different thresholds of post-PCI cardiac troponin I (cTnI) and mortality.MethodsFrom January 2012 to July 2017, 5,218 consecutive patients undergoing elective PCI with pre-PCI cTnI &lt; 99th percentile of the upper reference limit (URL) were included. Levels of cTnI were measured before PCI and every 8 h for 24 h after procedural. The outcomes were 3-year cardiac mortality.ResultsPatients had a mean age of 66.2 years, 27.6% were women, 67.0% had hypertension, and 26.2% had diabetes mellitus. During the 3 years of follow-up, cardiac death occurred in 0.86%, 1.46%, 1.69%, 2.36%, and 2.86% of patients with cTnI &lt; 1, ≥ 1 to &lt; 5, ≥ 5 to &lt; 35, ≥ 35 to &lt; 70, and ≥ 70 times URL. The cardiac mortality rate was moderately increased with higher peak cTnI values, but the Kaplan–Meier curve demonstrated no significant association between any increment of cTnI and either cardiac or non-cardiac mortality. Isolated cTnI increment of ≥ 5 × URL, ≥ 35 × URL, and ≥ 70 × URL was occurred in 1,379 (26.4%), 197 (3.8%), and 70 (1.3%) patients, respectively. In multivariate Cox regression analysis and Fine-Gray model, none of the above cTnI thresholds was significantly associated with an increased risk of cardiac death.ConclusionIn patients who underwent elective PCI, post-PCI cTnI elevation is not independently associated with cardiac mortality.
The non-linear association between ascending aorta diameter and risk of 12-month mortality in Chinese patients with heart failure: A retrospective cohort study
Authors: Chen Jin , Huang Yuan-Lei , Huang Hui , Zheng Tao , Cong Guang-Zhi 
Published: August 2022

BackgroundThere is no conclusive proven link between ascending aorta diameter (AoD) and the risk of death from heart failure (HF). As a result, a retrospective cohort analysis was carried out to determine whether AoD is associated with 12-month mortality in Chinese HF patients.MethodsFrom January 2017 to March 2020, we collected data on 575 Chinese patients with HF. The exposure and outcome variables were baseline AoD and 12-month risk of mortality (all-cause + cardiac origin), respectively. Data on demographics, drug usage, clinical characteristics, recognized indicators of HF, and comorbidities were included as covariates. To investigate the independent relationships of AoD with the risk of 12-month death, binary logistic regression and two-piecewise linear models were utilized.ResultsOur findings imply that there was a non-linear relationship between AoD and the risk of 12-month mortality. For the AoD range of 23 to 37, there was no association with the risk of cardiac mortality [odds ratio (OR) 0.78, 95% confidence interval (CI), 0.62–1.04]. In the AoD range of 37–49, however, the risk of 12-month cardiac death increased by approximately 70% for every 1 mm increase in AoD (OR 1.70, 95% CI, 1.13–2.55). When all-cause death was chosen as the outcome, the same outcome was shown.ConclusionAn AoD larger than 37 mm is a hazardous threshold for Chinese HF patients. Beyond this limit increased the risk of cardiac death by 70% for every 1 mm increase in AoD.
Prognostic value of plasma phenylalanine and gut microbiota-derived metabolite phenylacetylglutamine in coronary in-stent restenosis
Authors: Fu Yuan , Yang Yixing , Fang Chen , Liu Xinming , Dong Ying , Xu Li , Chen Mulei , Zuo Kun , Wang Lefeng 
Published: August 2022

ObjectiveThis study was designed to explore the predictive value of plasma phenylalanine (Phe) and gut microbiota-derived metabolite phenylacetylglutamine (PAGln) in coronary in-stent restenosis (ISR).MethodsPatients with coronary ISR, in-stent hyperplasia (ISH), and in-stent patency (ISP) were retrospectively enrolled in this study. Multivariable logistic regression analyses were used to identify independent risk factors of ISR. The predictive value of plasma Phe and PAGln levels was evaluated by receiver operating characteristic (ROC) curve analysis. The areas under the ROC curve (AUCs) were compared using the Z-test. The correlation between PAGln and clinical characteristics were examined using Spearman's correlation analysis.ResultsSeventy-two patients (mean age, 64.74 ± 9.47 years) were divided into three groups according to coronary stent patency: ISR (n= 28), ISH (n= 11), and ISP (n= 33) groups. The plasma levels of Phe and PAGln were significantly higher in the ISR group than in the ISP group. PAGln was positively associated with the erythrocyte sedimentation rate, homocysteine, SYNTAX score, triglyceride to high-density lipoprotein ratio, Phe, and microbiota-related intermediate metabolite phenylacetic acid (PA). In the ISR group, with the aggravation of restenosis, PAGln levels were also elevated. In multivariate regression analyses, Phe, PAGln and SYNTAX score were independent predictors of coronary ISR (allP&lt; 0.05). In the ROC curve analyses, both Phe [AUC = 0.732; 95% confidence interval (CI), 0.606–0.858;P= 0.002] and PAGln (AUC = 0.861; 95% CI, 0.766–0.957;P&lt; 0.001) had good discrimination performance in predicting coronary ISR, and the predictive power of PAGln was significantly better (P= 0.031).ConclusionPlasma Phe and PAGln are valuable indices for predicting coronary ISR, and gut microbes may be a promising intervention target to prevent ISR progression.
Using Bayesian networks with Max-Min Hill-Climbing algorithm to detect factors related to multimorbidity
Authors: Song Wenzhu , Gong Hao , Wang Qili , Zhang Lijuan , Qiu Lixia , Hu Xueli , Han Huimin , Li Yaheng , Li Rongshan , Li Yafeng 
Published: August 2022

ObjectivesMultimorbidity (MMD) is a medical condition that is linked with high prevalence and closely related to many adverse health outcomes and expensive medical costs. The present study aimed to construct Bayesian networks (BNs) with Max-Min Hill-Climbing algorithm (MMHC) algorithm to explore the network relationship between MMD and its related factors. We also aimed to compare the performance of BNs with traditional multivariate logistic regression model.MethodsThe data was downloaded from the Online Open Database of CHARLS 2018, a population-based longitudinal survey. In this study, we included 10 variables from data on demographic background, health status and functioning, and lifestyle. Missing value imputation was first performed using Random Forest. Afterward, the variables were included into logistic regression model construction and BNs model construction. The structural learning of BNs was achieved using MMHC algorithm and the parameter learning was conducted using maximum likelihood estimation.ResultsAmong 19,752 individuals (9,313 men and 10,439 women) aged 64.73 ± 10.32 years, there are 9,129 ones without MMD (46.2%) and 10,623 ones with MMD (53.8%). Logistic regression model suggests that physical activity, sex, age, sleep duration, nap, smoking, and alcohol consumption are associated with MMD (P &lt; 0.05). BNs, by establishing a complicated network relationship, reveals that age, sleep duration, and physical activity have a direct connection with MMD. It also shows that education levels are indirectly connected to MMD through sleep duration and residence is indirectly linked to MMD through sleep duration.ConclusionBNs could graphically reveal the complex network relationship between MMD and its related factors, outperforming traditional logistic regression model. Besides, BNs allows for risk reasoning for MMD through Bayesian reasoning, which is more consistent with clinical practice and thus holds some application prospects.
Timing of Paleoearthquakes and Seismic Hazard of the Zhuozishan West Piedmont Fault in the Northwestern Ordos Block
Authors: Liu Xingwang , Gao Zemin , Lei Qiyun , Shao Yanxiu , Yao Yunsheng 
Published: August 2022

The Zhuozishan West Piedmont Fault (ZWPF) is an active normal fault in the northwestern corner of the Ordos Block. Studying the recurrence characteristics of paleoearthquakes is useful for understanding the regional seismic hazard potential. In this study, paleoseismic trench and optically stimulated luminescence (OSL) dating methods are used to determine the temporal sequence of paleoearthquakes. Severn earthquakes were constrained to be E7 (73.4 ± 12.9 ka to 75.3 ± 10.6 ka), E6, (63.7 ± 7.4 ka to 64.4 ± 8.2 ka), E5 (53.2 ± 7.0 ka to 58.7 ± 6.5 ka), E4 (42.6 ± 6.3 ka to 47.7 ± 5.8 ka), E3 (31.0–3.4 ka to 31.3 ± 3.4 ka), E2 (26.1 ± 2.7 ka to 28.1 ± 3.8 ka) and E1 (15.8 ± 1.9 ka to 20.2 ± 2.6 ka). The recurrence interval of strong earthquakes in the ZWPF is roughly constrained to be 8.1–14 ka, with magnitudes of Mw 7.0–7.4 that ruptured the entire fault. Based on the timing of the latest earthquake event, the elapsed time approached or exceeded the recurrence interval revealed from paleoearthquakes. Hence, we suggest that the northwestern corner of the Ordos Block has a significantly high seismic hazard potential and that the occurrence of a strong earthquake should not be underestimated.
Prognostic model based on m6A-associated lncRNAs in esophageal cancer
Authors: Wang Weidong , Dong Danhong , Yu Pengfei , Chen Tong , Gao Ruiqi , Wei Jiangpeng , Mo Zhenchang , Zhou Haikun , Yang Qinchuan , Yue Chao , Yang Xisheng , Li Xiaohua , Ji Gang 
Published: August 2022

BackgroundThis research aimed to build an m6A-associated lncRNA prognostic model of esophageal cancer that can be used to predict outcome in esophageal cancer patients.MethodsRNA sequencing transcriptome data and clinical information about patients with esophageal cancer were obtained according to TCGA. Twenty-four m6A-associated genes were selected based on previous studies. m6A-associated lncRNAs were determined through Pearson correlation analysis. Three m6A-associated lncRNA prognostic signatures were built through analysis of the training set using univariate, LASSO, and multivariate Cox regression. To validate the stabilization of the risk signature, Kaplan–Meier and ROC curve analyses were performed on the testing and complete sets. The prognoses of EC patients were predicted quantitatively by building a nomogram. GSEA was conducted to analyze the underlying signaling pathways and biological processes. To identify the underlying mechanisms through which the lncRNAs act, we constructed a PPI network and a ceRNA network and conducted GO and KEGG pathway analyses. EC samples were evaluated using the ESTIMATE algorithm to compute stromal, immune, and estimate scores. The ssGSEA algorithm was used to quantitatively infer immune cell infiltration and immune functions. The TIDE algorithm was performed to simulate immune evasion and predict the response to immunotherapy.ResultsWe identified and validated an m6A-associated lncRNA risk model in EC that could correctly and reliably predict the OS of EC patients. The ceRNA network, PPI network, and GO and KEGG pathway analyses confirmed and the underlying mechanisms and functions provided enlightenment regarding therapeutic strategies for EC. Immunotherapy responses were better in the low-risk subgroup, and PD-1 and CTLA4 checkpoint immunotherapy benefited the patients in the low-risk subgroup.ConclusionsWe constructed a new m6A-related lncRNA prognostic risk model of EC, based on three m6A-related lncRNAs: LINC01612, AC025166.1 and AC016876.2, that can predict the prognoses of EC patients.