bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pelatihan Penyusunan Rencana Pembelajaran Di Masa Pandemi Dan Digitalisasi Sekolah Di SD Negeri 58 Rejang Lebong
Authors: Kurniawan Rio , Yulistio Didi , Purwadi Agus Joko 
Published: October 2022

Kegiatan Pengabdian kepada Masyarakan ini dilaksanakan dengan tujuan untuk memberikan pengalaman pengetahuan dan keterampilan serta sikap dalam menyusun rencana pembelajaran di masa pandemi dan digitalisasi sekolah bagi guru SD Negeri 58 Rejang Lebong. Khususnya, dalam upaya meningkatkan kompetensi pedagogik dan akademik guru kelas di Sekolah dasar Negeri 58 Rejang Lebong. Kegiatan ini dilaksanakan secara virtual (daring) melalui video conference yakni google meet. Pelaksanaan kegiatan hari Kamis, 23 Desember 2021, Pukul 08.00 sampai dengan Pukul 11.30 WIB. Kegiatan secara virtual ini diikuti peserta sebanyak 12 orang. Kegiatan menggunakan metode penyuluhan dan pelatihan melalui ceramah dan diskusi serta penugasan praktik, dengan penyajian materi, yakni (1) konseptual permasalahan Pendidikan di masa Pandemi, (2) konseptual kajian teoretis masalah penerapan TIK dalam Pembelajaran, dan (3) konseptual digitalisasi sekolah. Hasil kegiatan PPM ini dapat dikemukakan, bahwa upaya pemberian penyuluhan/pelatihan telah mengubah dan memberikan pengalaman pengetahuan dan keterampilan serta perubahan sikap atau pola pikir (mindset) secara baik dan bermakna kepada peserta. Hal ini terlihat dari antusias peserta yang sangat tinggi dalam mengikuti tahapan kegiatan, khususnya ketika mendapat penugasan praktik penyusunan rencana pembelajaran di masa pandemi melalui pemanfaatan ICT dan digitalisasi sekolah. Namun, karena keterbatasan waktu maka narasumber memberi kesempatan untuk melanjutkan konfirmasi dan pemecahan permasalahan praktik dari peserta secara daring melalui whatsApp. Di akhir kegiatan, peserta mengharapkan agar dimasa mendatang ada kegiatan lanjutan dalam bentuk bimtek khusus kajian praktik digitalisasi sekolah. Luaran Kegiatan berupa artikel hasil pengabdian kepada masyarakat yang ditulis pada jurnal nasional. Kata kunci: Pelatihan, Perencanaan Pembelajaran, di Masa Pandemi, Digitalisasi Sekolah
Pengembangan Modul Penyusunan Soal Higher Order Thinking Skills Berorientasi AKM pada Mata Pelajaran IPA SD untuk Meningkatkat Literasi Sain Siswa
Authors: Yanti Z Rima , Irwan Koto  , Endang Widi Winarni  
Published: October 2022

Penyusunan soal HOTS berorientasi AKM merupakan kompetensi yang harus dikuasai guru agar dapat melaksanakan dan mengevaluasi pembelajaran yang memicu keterampilan berfikir tingkat tinggi dan literasi siswa. Modul penyusunan soal HOTS berorientasi AKM disusun untuk memfasilitasi guru dalam meningkatkan komeptensinya untuk menyusun soal HOTS berorientasi AKM. Modul ini dikembangkan mengikuti metode Research dan Development dengan model Analisys, Design, Development, Implementation, dan Evaluation (ADDIE). Berdasarkan hasil penelitian modul ini layak untuk digunakan oleh guru dalam meningkatkan kompetensinya dalam menyusun soal HOTS. Modul penyusunan soal HOTS berorientasi AKM ini efektif untuk meningkatkan kompetensi guru dalam menyusun soal HOTS berorientasi AKM. Penggunaan soal HOTS berorientasi AKM yang disusun guru pada siswa menunjukan hasil rata-rata literasi sain siswa masih rendah
Semiotic Analysis on the Series of “Temu Manten” in Malang
Authors: Agustin Herastanti Putri , Nurhayani Ika , Prawoto Sigit 
Published: October 2022

Indonesia has lots of culture especially in Java. Javanese people still uphold their culture, it can be seen from many ceremonies and rituals they do. There is one ceremony that still uphold until now that is Temu Manten. Temu Manten is a highlight from the Javanese tradition wedding which has meaning as the meeting of the bride and the groom. There are lots of symbols there that represent about the marriage life. The study relates to symbol is semiotic. Based on Barthes’s theory, semiotic consists of denotative, connotative, and myths. This study aims to analyze the semiotic meaning on the series of Temu Manten that occurs in Malang. This study used qualitative method and used Barthes’s theory to analyze the data. The source of the data is from the interviewing the informant and some books that related to Temu Manten. The data collected in May 11th, 2022 in Kepuharjo, Malang, East Java. The data collected by using these techniques, such as: 1) Observing and taking notes; 2) Interviewing the informant.; 3) Recording and taking note.; 4) Transcribing. The data was analyzed by using Roland Barthes’s theory about denotative, connotative and myth. The result showed that the groom and the bride must be nice family and helpful to others. Where the family will always support and guide them to face a harmonious home life. In facing domestic life, keep learning to process the feelings and intentions that have been given by God to be able to understand one another.
Students' Perception of Using the Internet to Develop Reading Habits
Authors: Bana Arny 
Published: October 2022

The internet ubiquity in education has flooded the teaching and learning process with digital tools and drastically changed many aspects of academic life, including students' reading habits. This study aimed at exploring students' perceptions of using the internet to develop reading habits. The study employed the qualitative descriptive method with survey design and involved 43 students of the English department of Universitas Kristen Indonesia Jakarta. Data was collected by means of a questionnaire consisting of 20 items. The results showed that 43% of the respondents had a positive perception that the internet developed their reading habits. However, the majority of them regarded reading as merely an activity for getting information to finish school assignments. They viewed the internet as the main source of information they needed to finish their learning assignments. Since about one-fifth of them preferred paper-based reading, it was concluded that not the whole of Generation Z members totally ignored printed reading materials.
A facile synthesis of PEGylated Cu2O@SiO2/MnO2 nanocomposite as efficient photo−Fenton−like catalysts for methylene blue treatment
Authors: Wu Mingzhou , He Shuqing , Ha Enna , Hu Junqing , Ruan Shuangchen 
Published: October 2022

The removal of toxic organic dyes from wastewater has received much attention from the perspective of environmental protection. Metal oxides see wide use in pollutant degradation due to their chemical stability, low cost, and broader light absorption spectrum. In this work, a Cu2O−centered nanocomposite Cu2O@SiO2/MnO2−PEG with an average diameter of 52 nm was prepared for the first time via a wet chemical route. In addition, highly dispersed MnO2 particles and PEG modification were realized simultaneously in one step, meanwhile, Cu2O was successfully protected under a dense SiO2 shell against oxidation. The obtained Cu2O@SiO2/MnO2−PEG showed excellent and stable photo−Fenton−like catalytic activity, attributed to integration of visible light−responsive Cu2O and H2O2−responsive MnO2. A degradation rate of 92.5% and a rate constant of 0.086 min−1 were obtained for methylene blue (MB) degradation in the presence of H2O2 under visible light for 30 min. Additionally, large amounts of •OH and 1O2 species played active roles in MB degradation. Considering the enhanced degradation of MB, this stable composite provides an efficient catalytic system for the selective removal of organic contaminants in wastewater.
Are platelet volume indices of clinical use in COVID-19? A systematic review
Authors: Daniels Sarah , Wei Hua , van Tongeren Martie , Denning David W. 
Published: October 2022

BackgroundThe incidence of thrombotic complications is high in COVID-19 patients with severe disease. As key regulators of thrombus formation, platelets likely play a crucial role as mediators of severe acute respiratory syndrome coronavirus 2 associated pathogenesis. Studies have reported that parameters reflecting platelet size, known as platelet volume indices (PVI), are raised in patients with thrombosis and can predict poor outcomes. This systematic review evaluates the potential for PVI to be used as a predictor of COVID-19 morbidity and mortality.MethodsEnglish and Chinese databases were searched electronically to identify studies reporting data on mean platelet volume, platelet distribution width or platelet-large cell ratio in COVID-19 patients. Included articles underwent a quality rating and descriptive narrative analysis.ResultsThirty-two studies were included in the systematic review. The results show a general trend for PVI to be raised in severe COVID-19 patients and non-survivors, with 14 studies reporting significant differences of baseline PVI between severe and mild disease. Nonetheless, longitudinal studies showed varying PVI trends over the course of the disease and evidence for PVI to be associated with disease progression was limited. The quality rating of 12 studies was poor, 16 were rated fair and four were good. Most studies were retrospective in design, used small study populations and did not consider confounding factors that influence platelet volume. Studies also contained technical flaws in PVI measurement, limiting the reliability of the results.ConclusionThe evidence on the clinical usefulness of PVI is greatly limited by the lack of prospective evaluation, together with technical problems in measuring PVI. Carefully designed prospective studies are warranted.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=304305, identifier CRD42022304305.
Identification of copper-related biomarkers and potential molecule mechanism in diabetic nephropathy
Authors: Ming Jie , Sana Si Ri Gu Leng , Deng Xijin 
Published: October 2022

BackgroundDiabetic nephropathy (DN) is a chronic microvascular complication in patients with diabetes mellitus, which is the leading cause of end-stage renal disease. However, the role of copper-related genes (CRGs) in DN development remains unclear.Materials and methodsCRGs were acquired from the GeneCards and NCBI databases. Based on the GSE96804 and GSE111154 datasets from the GEO repository, we identified hub CRGs for DN progression by taking the intersection of differentially expressed CRGs (DECRGs) and genes in the key module from Weighted Gene Co-expression Network Analysis. The Maximal Clique Centrality algorithm was used to identify the key CRGs from hub CRGs. Transcriptional factors (TFs) and microRNAs (miRNAs) targeting hub CRGs were acquired from publicly available databases. The CIBERSORT algorithm was used to perform comparative immune cell infiltration analysis between normal and DN samples.ResultsEighty-two DECRGs were identified between normal and DN samples, as were 10 hub CRGs, namely PTGS2, DUSP1, JUN, FOS, S100A8, S100A12, NAIP, CLEC4E, CXCR1, and CXCR2. Thirty-nine TFs and 165 miRNAs potentially targeted these 10 hub CRGs. PTGS2 was identified as the key CRG and FOS as the most significant gene among all of DECRGs. RELA was identified as the hub TF interacting with PTGS2 by taking the intersection of potential TFs from the ChEA and JASPAR public databases. let-7b-5p was identified as the hub miRNA targeting PTGS2 by taking the intersection of miRNAs from the miRwalk, RNA22, RNAInter, TargetMiner, miRTarBase, and ENCORI databases. Similarly, CREB1, E2F1, and RELA were revealed as hub TFs for FOS, and miR-338-3p as the hub miRNA. Finally, compared with those in healthy samples, there are more infiltrating memory B cells, M1 macrophages, M2 macrophages, and resting mast cells and fewer infiltrating activated mast cells and neutrophils in DN samples (all p&lt; 0.05).ConclusionThe 10 identified hub copper-related genes provide insight into the mechanisms of DN development. It is beneficial to examine and understand the interaction between hub CRGs and potential regulatory molecules in DN. This knowledge may provide a novel theoretical foundation for the development of diagnostic biomarkers and copper-related therapy targets in DN.
Pitfalls in complement analysis: A systematic literature review of assessing complement activation
Authors: Brandwijk Ricardo J. M. G. E. , Michels Marloes A. H. M. , van Rossum Mara , de Nooijer Aline H. , Nilsson Per H. , de Bruin Wieke C. C. , Toonen Erik J. M. 
Published: October 2022

BackgroundThe complement system is an essential component of our innate defense and plays a vital role in the pathogenesis of many diseases. Assessment of complement activation is critical in monitoring both disease progression and response to therapy. Complement analysis requires accurate and standardized sampling and assay procedures, which has proven to be challenging.ObjectiveWe performed a systematic analysis of the current methods used to assess complement components and reviewed whether the identified studies performed their complement measurements according to the recommended practice regarding pre-analytical sample handling and assay technique. Results are supplemented with own data regarding the assessment of key complement biomarkers to illustrate the importance of accurate sampling and measuring of complement components.MethodsA literature search using the Pubmed/MEDLINE database was performed focusing on studies measuring the key complement components C3, C5 and/or their split products and/or the soluble variant of the terminal C5b-9 complement complex (sTCC) in human blood samples that were published between February 2017 and February 2022. The identified studies were reviewed whether they had used the correct sample type and techniques for their analyses.ResultsA total of 92 out of 376 studies were selected for full-text analysis. Forty-five studies (49%) were identified as using the correct sample type and techniques for their complement analyses, while 25 studies (27%) did not use the correct sample type or technique. For 22 studies (24%), it was not specified which sample type was used.ConclusionA substantial part of the reviewed studies did not use the appropriate sample type for assessing complement activation or did not mention which sample type was used. This deviation from the standardized procedure can lead to misinterpretation of complement biomarker levels and hampers proper comparison of complement measurements between studies. Therefore, this study underlines the necessity of general guidelines for accurate and standardized complement analysis
Coastal landscape pattern optimization based on the spatial distribution heterogeneity of ecological risk
Authors: Yi Lin , Ma Sunjie , Tao Shiwei , Zhang Jiyi , Wang Jiujuan 
Published: October 2022

The increasingly intensified development of coastal cities causes excessive consumption of natural resources, leading to environmental damage and increasing conflict between development and ecological protection. In addition to emphasizing ecological development, planners should pay more attention to the practical optimization and regulation of the developed landscape pattern. Taking Dafeng as an example, this study constructs a landscape-pattern optimization method suitable for the spatial distribution heterogeneity of ecological risk-level units in the coastal zone. The study is based on (a) an analysis of the composition and evolution characteristics of Dafeng’s coastal landscape elements, (b) the landscape pattern index of the ecosystem’s overall risk assessment, and (c) the minimal cumulative resistance (MCR) model. The study uses an ecosystem service value to build a resistance model by analyzing the medium and high-risk composition and distribution characteristics of space unit elements. Finally, 23 ecological sources, 14 ecological nodes, and 17 ecological corridors (total length 169.63 km) were built. The optimized coastal zone landscape pattern jointly protects the landscape area of high ecological value by 462.02 km2. The total ecological value is 105,01.71 million yuan. Landscape connectivity has been optimized, as well as the ecosystem’s stability and total service value. The optimization method proposed in this paper can reduce the protection area and cost. The spatial optimization unit is highly targeted, providing new ideas for the coastal cities to implement their ecological development and protection strategies.
Clinical features and prognostic factors of pulmonary carcinosarcoma: A nomogram development and validation based on surveillance epidemiology and end results database
Authors: Zhang Ming-Yi , Tang Lian-Sha , Qin Zhao-Juan , Hao Ya-Ting , Cheng Ke , Zheng Ai 
Published: October 2022

BackgroundPulmonary carcinosarcoma (PCS) is a rare but aggressive malignant disease in the lung. It is characterized by coexisting histologic elements of carcinomatous and sarcomatous components. This study aimed to comprehensively understand the clinical features of PCS and develop a nomogram for prognostic prediction of PCS patients.MethodsData were collected from the Surveillance Epidemiology and End Results (SEER) database between 1975 and 2018. Propensity-score matching (PSM) was used to match the demographic characteristic of the PCS vs. pulmonary sarcoma (PS). Cancer-specific survival (CSS) and overall survival (OS) were the main endpoints of the survival of patients and were evaluated using the Kaplan Meier curves and Cox proportional hazards regression. We further randomly split enrolled PCS patients from SEER into the training and validation sets. All independent predictors for OS of the training set were integrated to create a predictive nomogram. The performance of the nomogram was determined by discrimination, calibration ability, clinical usefulness, and risk stratification ability both in the training and validation cohorts. In addition, the clinical data of PCS patients from the West China Hospital were also retrospectively analyzed by this model.ResultsA total of 428 PCS patients and 249 PS patients were enrolled from SEER. Compared to pure PS, PCS was associated with significantly better survival in the unmatched cohorts, whereas non-significantly better survival after PSM. In subgroup analysis, PCS showed significantly worse survival than pure PS in subgroups among the race, marital status, and radiation treatment. A nomogram was constructed for PCS patients’ survival prediction by combining the independent risk factors, including gender, stage, surgery, radiation, and chemotherapy. The nomogram showed good discrimination, calibration, and predictive power in the training and validation sets. Risk stratification analysis indicated that the nomogram scores efficiently divided PCS patients into low and high-risk groups.ConclusionPCS is a rare malignant disease of the lung with distinct clinical features. It had a comparable survival compared with pure PS in the matched cohorts. In addition, a nomogram was developed and validated for predicting the OS in PCS patients.
The change of plasma metabolic profile and gut microbiome dysbiosis in patients with rheumatoid arthritis
Authors: Zhu Jing , Wang Tingting , Lin Yifei , Xiong Minghao , Chen Jianghua , Jian Congcong , Zhang Jie , Xie Huanhuan , Zeng Fanwei , Huang Qian , Su Jiang , Zhao Yi , Li Shilin , Zeng Fanxin 
Published: October 2022

ObjectiveRheumatoid arthritis (RA) is a chronic inflammatory joint disease, which is associated with progressive disability, systemic complications, and early death. But its etiology and pathogenesis are not fully understood. We aimed to investigate the alterations in plasma metabolite profiles, gut bacteria, and fungi and their role of them in the pathogenesis of RA.MethodsMetabolomics profiling of plasma from 363 participants including RA (n = 244), systemic lupus erythematosus (SLE, n = 50), and healthy control (HC, n = 69) were performed using the ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry. The differentially expressed metabolites were selected among groups and used to explore important metabolic pathways. Gut microbial diversity analysis was performed by 16S rRNA sequencing and ITS sequencing (RA = 195, HC = 269), and the specific microbial floras were identified afterward. The diagnosis models were established based on significant differential metabolites and microbial floras, respectively.ResultsThere were 63 differential metabolites discovered between RA and HC groups, mainly significantly enriched in the arginine and proline metabolism, glycine, serine, and threonine metabolism, and glycerophospholipid metabolism between RA and HC groups. The core differential metabolites included L-arginine, creatine, D-proline, ornithine, choline, betaine, L-threonine, LysoPC (18:0), phosphorylcholine, and glycerophosphocholine. The L-arginine and phosphorylcholine were increased in the RA group. The AUC of the predictive model was 0.992, based on the combination of the 10 differential metabolites. Compared with the SLE group, 23 metabolites increased and 61 metabolites decreased in the RA group. However, no significant metabolic pathways were enriched between RA and SLE groups. On the genus level, a total of 117 differential bacteria genera and 531 differential fungal genera were identified between RA and HC groups. The results indicated that three bacteria genera (Eubacterium_hallii_group, Escherichia-Shigella, Streptococcus) and two fungal genera (Candida and Debaryomyces) significantly increased in RA patients. The AUC was 0.80 based on a combination of six differential bacterial genera and the AUC was 0.812 based on a combination of seven differential fungal genera. Functional predictive analysis displayed that differential bacterial and differential fungus both were associated with KEGG pathways involving superpathway of L-serine and glycine biosynthesis I, arginine, ornithine, and proline interconversion.ConclusionThe plasma metabolism profile and gut microbe profile changed markedly in RA. The glycine, serine, and threonine metabolism and arginine and proline metabolism played an important role in RA.
Identification of mRNA expression biomarkers associated with epilepsy and response to valproate with co-expression analysis
Authors: Min Jun , Chen Qinglan , Wu Wenyue , Zhao Jing , Luo Xinming 
Published: October 2022

PurposeValproate (VPA) resistance was reported to be an important predictor of intractable epilepsy. We conducted this study to identify candidate biomarkers in peripheral blood correlated with VPA resistance.MethodsThe microarray dataset (GSE143272) was downloaded from the Gene Expression Omnibus database. Weighted gene co-expression network analysis (WGCNA) was performed to construct co-expression modules and obtain the most prominent module associated with VPA resistance. Differentially expressed genes (DEGs) between VPA-responsive and VPA-resistant patients were obtained using the “Limma” package in R. The intersections between the most prominent module and DEGs were identified as target genes. Metascape was performed to discover the possible involved pathways of the target genes. GeneCards database was used to know the function of each target gene.ResultsAll genes in the GSE143272 were divided into 24 different modules. Among these modules, the darkred module showed a pivotal correlation with VPA resistance. A total of 70 DEGs between VPA-responsive and VPA-resistant patients were identified. After taking the intersection, 25 target genes were obtained. The 25 target genes were significantly enriched in T cell receptor recognition, T cell receptor signaling pathway, regulation of T cell activation, cytokine–cytokine receptor interaction, and in utero embryonic development. Half of the target genes (CD3D, CD3G, CXCR3, CXCR6, GATA3, GZMK, IL7R, LIME1, SIRPG, THEMIS, TRAT1, and ZNF683) were directly involved in the T cell development, migration, and activation signaling pathway.ConclusionWe identified 25 target genes prominently associated with VPA resistance, which could be potential candidate biomarkers for epilepsy resistance in peripheral blood. The peripheral blood T cells may play a crucial role in VPA resistance. Those genes and pathways might become therapeutic targets with clinical usefulness in the future.