bluuebunny/crossref_metadata_2025_split huggingface dataset:
IMPLEMENTASI GERAKAN LITERASI UNTUK PENANAMAN PENDIDIKAN KARAKTER SISWA SEKOLAH DASAR DI SD NEGERI JAKENAN
Authors: Wati Marina Puspita , Surachmi Sri , Utaminingsih Sri 
Published: January 2022

Penelitian ini bertujuan 1. Mengetahui penerapan gerakan literasi di SD Negeri Jakenan, 2. Mengetahui penanaman karakter siswa yang terbentuk dalam gerakan literasi di SD Negeri Jakenan, 3. Mengetahui alasan mengapa diadakan gerakan literasi di SD Negeri Jakenan. Jenis penelitian ini adalah penelitian kualitatif. Lokasi penelitian ini di SD Negeri Jakenan Pati. Serta objek yang diteliti adalah perilaku peserta didik SD Negeri Jakenan Pati. Penelitian ini mempunyai hasil yaitu Gerakan literasi sekolah yang bertujuan sebagai penanaman karakter siswa sekolah dasar di SD Negeri Jakenan adalah salah satunya dilakukanya kegiatan pembiasaan membaca sebelum kegiatan belajar mengajar dimulai.Kegiatan ini berlangsung antara 10 sampai 15 menit setiap harinya.Kegiatan ini dikoordinasikan oleh kepala sekolah serta guru .Karakter yang terbentuk dari pelaksanaan kegiatan ini adalah antara lain :tanggung jawab,gemar membaca,menghargai prestasi,rasa ingin tahu,serta religius. Dari penelitian ini disarankan guru menjadi teladan bagi siswa sehingga guru sangat berpengaruh terhadap keberhasilan penanaman karakter kepada siswa. Hendaknya lembaga memberikan perhatian lebih kepada kegiatan literasi dengan lebih banyak lagi menyediakan buku dan program yang mendukung menarik minat siswa untuk membaca.
PENGEMBANGAN INSTRUMEN TES KETERAMPILAN MENYIMAK UNTUK SISWA KELAS IX SEKOLAH MENENGAH PERTAMA
Authors: Kharisma Nur , Auzar Auzar , Septyanti Elvrin 
Published: January 2022

Tulisan ini bertujuan mendeskripsikan prosedur pengembangan dan bentuk instrumen tes keterampilan menyimak untuk siswa kelas IX Sekolah Menengah Pertama yang dihasilkan. Penelitian ini berbasis daring menggunakan google formulir. Pengembangan menggunakan model ADDIE. Pengembangan dilakukan beberapa tahap, yaitu: (1) analisis kebutuhan (Analysis), (2) desain produk (Design), (3) pengembangan produk awal (Development), (4) uji coba produk awal (Implementation), (5) revisi produk awal (Evaluation), (6) uji coba produk revisi, (7) revisi produk revisi. Uji coba dilakukan kepada siswa kelas IX SMP/MTs dengan tekni accidental sampling. Pengembangan ini menghasilkan tes berbasis google form yang terdiri dati biodata untuk peserta tes, rekaman cerpen sebagai bahan simakan berdurasi 11 menit , 25 soal (22 pilihan ganda dan 3 jawaban singkat) lengkap dengan kunci jawaban berjumlah 951 kata, memiliki skor yang berbeda pada setiap soal, dan rubrik penilaian tes keterampilan menyimak. Uji coba produk awal diperoleh responden sebanyak 20 orang. Revisi yang peneliti lakukan, yaitu (1) merevisi soal dan petunjuk pengerjaan soal, (2) mengganti beberapa komponen penilaian yang kurang baik, dan (3) mengganti beberapa pilihan kata yang kurang tepat. Revisi yang peneliti lakukan, yaitu (1) merevisi durasi instrumen tes keterampilan menyimak, (2) merevisi soal dan petunjuk pengerjaan soal, dan (3) mengganti beberapa pilihan kata yang kurang tepat.
PENGEMBANGAN MEDIA BERBASIS POWERPOINT INTERAKTIF TEMA 1 SUBTEMA 3 PERTUMBUHAN HEWAN UNTUK SISWA KELAS III SD NEGERI 007 TEBING KARIMUN
Authors: Dewi Tisrin Maulina , Muhiri Muhiri , Simatupang Julita Sugiarto 
Published: January 2022

Penelitian ini bertujuan untuk mengetahui bagaimana prosedur pengembangan serta kelayakan media pembelajaran powerpoint interaktif untuk siswa kelas III SDN 007 Tebing Karimun. Jenis penelitian ini adalah penelitan Research and Develoment (R&D) yang mengacu pada model Borg and Gall. Teknik pengumpulan data dilakukan dengan pengumpulan kuosioner serta teknik analisis data menggunakan deskriptif kuantitatif dan kualitatif. Hasil penelitian menunjukkan bahwa (1) validasi dari ahli materi berdasarkan penilaian kelayakan memperoleh kriteria sangat layak (83%); (2) validasi dari ahli desain memperoleh kriteria sangat layak (100%); (3) Hasil respon guru kelas III terhadap media powerpoint interaktif mendapat kriteria sangat baik (83%); (4) Hasil respon uji coba siswa terhadap kelayakan media yang dilakukan yaitu uji coba lapangan awal dengan kriteria sangat baik (92%), uji coba lapangan kelompok kecil dengan kriteria sangat baik (84%) dan uji coba lapangan kelompok terbatas dengan kriteria sangat baik (86%). Hal ini menunjukkan bahwa media pembelajaran berbasis powerpoint interaktif tema 1 subtema 3 pertumbuhan hewan untuk siswa kelas III SDN 007 Tebing layak untuk digunakan sebagai media pembelajaran di sekolah.
KAJIAN FEMINITAS PUTRI HARISBAYA DALAM WAWACAN BABAD SUMEDANG KARYA ABDURâ€™ROCHMAN
Authors: Sulianti Anna Meirlina , Widyasari  
Published: January 2022

The studi was aimed at (1) finding out citra or image of Princess Harisbaya in the Sundanese classical poetry Wawacan Babad Sumedang written by Abdurâ€™raochman; (2) finding out a femininity study of Princess Harisbaya in the Wawacan Babad Sumedang written by Abdurâ€™raochman. The study was a analytical description. The study used and applied qualitative methodology principles. To gain the data, literary and documentation study on Wawacan Babad Sumedang were conducted. The steps of collecting data were reading of the texts accurately, making note of relevant data, identifying and classifying the data, making data tabulation and descripton. In analyzing the structure, AJ Greimas theory was adobted. The result of the study showed that Wawacan Babad Sumedang decripting citra and habits of Princess Harisbaya and her stories.
Converter Phenotype: A New Profile That Is Not Exclusive to Taxanes
Authors: Jimenez-Rodriguez Teodorikez Wilfox , Manuel Marco de la Calle Francisco , Lozano-Cubo Inmaculada , Montoyo-Anton Rosa Ana , Soriano-Gomis Victor , Gonzalez-Delgado Purificación , Burgos-San José Amparo , Climent-Ballester Seira , Martínez-Banaclocha Natividad , Fernández-Sanchez Javier 
Published: January 2022

Introduction: Phenotype I hypersensitivity reactions are the most commonly reported drug reactions; however, precision medicine has made it possible to characterize new phenotypes. A recent communication proposed the existence of a “converter phenotype,” which would affect patients who present non-immediate hypersensitivity reactions and in subsequent exposures develop immediate hypersensitivity reactions. This study aimed to describe the clinical characteristics of converter phenotype reactions and their evolution during desensitization to chemotherapeutic drugs and monoclonal antibodies.Methods: We retrospectively reviewed our database of patients undergoing desensitization to chemotherapy or biological agents and selected those with a converter phenotype. Demographic and clinical characteristics of the patients, the results of skin tests, tryptase and IL-6 levels, and desensitization outcomes were assessed.Results: Of 116 patients evaluated, 12 (10.3%) were identified as having a converter phenotype. The median interval between drug exposure and reaction was 90.6 h (range 8-288 h). After the conversion, phenotype I was the most frequent (58.3%), followed by cytokine release reactions (33.3%). Fifty-one desensitizations were undertaken and all treatments completed, with 10 (19.6%) breakthrough reactions. No new changes in the phenotype were detected.Conclusions: The symptoms of non-immediate drug hypersensitivity reactions may indicate the need for an early allergological evaluation to assess the risk of future immediate drug reactions. Clinical characteristics, skin test results, and biomarkers can help predict responses to rapid drug desensitization, guiding clinicians on how to optimize therapy delivery while maintaining patient safety.
Identification of Diagnostic Markers for Breast Cancer Based on Differential Gene Expression and Pathway Network
Authors: Zhang Shumei , Jiang Haoran , Gao Bo , Yang Wen , Wang Guohua 
Published: January 2022

Background: Breast cancer is the second largest cancer in the world, the incidence of breast cancer continues to rise worldwide, and women’s health is seriously threatened. Therefore, it is very important to explore the characteristic changes of breast cancer from the gene level, including the screening of differentially expressed genes and the identification of diagnostic markers.Methods: The gene expression profiles of breast cancer were obtained from the TCGA database. The edgeR R software package was used to screen the differentially expressed genes between breast cancer patients and normal samples. The function and pathway enrichment analysis of these genes revealed significant enrichment of functions and pathways. Next, download these pathways from KEGG website, extract the gene interaction relations, construct the KEGG pathway gene interaction network. The potential diagnostic markers of breast cancer were obtained by combining the differentially expressed genes with the key genes in the network. Finally, these markers were used to construct the diagnostic prediction model of breast cancer, and the predictive ability of the model and the diagnostic ability of the markers were verified by internal and external data.Results: 1060 differentially expressed genes were identified between breast cancer patients and normal controls. Enrichment analysis revealed 28 significantly enriched pathways (p &lt; 0.05). They were downloaded from KEGG website, and the gene interaction relations were extracted to construct the gene interaction network of KEGG pathway, which contained 1277 nodes and 7345 edges. The key nodes with a degree greater than 30 were extracted from the network, containing 154 genes. These 154 key genes shared 23 genes with differentially expressed genes, which serve as potential diagnostic markers for breast cancer. The 23 genes were used as features to construct the SVM classification model, and the model had good predictive ability in both the training dataset and the validation dataset (AUC = 0.960 and 0.907, respectively).Conclusion: This study showed that the difference of gene expression level is important for the diagnosis of breast cancer, and identified 23 breast cancer diagnostic markers, which provides valuable information for clinical diagnosis and basic treatment experiments.
Synthesis and Characterization of NiMo Catalysts Supported on Fine Carbon Particles for Hydrotreating: Effects of Metal Loadings in Catalyst Formulation
Authors: Aryee Emma , Dalai Ajay Kumar , Adjaye John 
Published: January 2022

The by-products collected during the synthesis of carbon nanohorns via the arc discharge synthesis method is comprised of other carbon particles (OCP). At a hydrotreating operating temperature of 370°C, preliminary investigations using a bimetallic catalyst with support originating from the fine fractions of other carbon particles (OCPf) and containing 13 wt% Mo and 2.5 wt% Ni resulted in an HDS and HDN conversion of 78 and 25%, respectively. Variation of metal compositions in catalyst formulation and its impact on hydrotreating activity was therefore considered in this study to enhance the hydrotreating activity of OCPf–supported catalyst, and to determine if the best NiMo/OCPf catalyst achieved from this study could be a viable catalyst for hydrotreating applications. The co-incipient wetness impregnation was used in preparing series of hydrotreating catalysts with Ni and Mo loadings within the range of (2.5–5.0 wt%) and (13–26 wt%) respectively. Overall, the catalyst samples with maximum Ni loading of 5.0 wt% and Mo loadings of either 13 or 19 wt% showed higher dispersion and the ability to form a Type II Ni-Mo-S phase with enhanced activity. The effects of metal compositions on both HDS and HDN activities were correlated with their physicochemical properties.
The Application of Whole−Exome Sequencing in Patients With FUO
Authors: Guo Wanru , Feng Xuewen , Hu Ming , Shangguan Yanwan , Xia Jiafeng , Hu Wenjuan , Li Xiaomeng , Zhang Zunjing , Shi Yunzhen , Xu Kaijin 
Published: January 2022

BackgroundFever of unknown origin (FUO) is still a challenge for clinicians. Next-generation sequencing technologies, such as whole exome sequencing (WES), can be used to identify genetic defects in patients and assist in diagnosis. In this study, we investigated the application of WES in individuals with FUO.MethodsWe performed whole-exome sequencing on 15 FUO patients. Clinical information was extracted from the hospital information system.ResultsIn 7/15 samples, we found positive results, including potentially causative mutations across eight different genes: CFTR, CD209, IRF2BP2, ADGRV 1, TYK2, MEFV, THBD and GATA2.ConclusionsOur results show that whole-exome sequencing can promote the genetic diagnosis and treatment of patients with FUO.
Prospective Comparison of Plasma Biomarker and Traditional Risk Factor Profiles for Incident Isolated Atherosclerotic Disease and Incident Isolated Abdominal Aortic Aneurysm
Authors: Acosta Stefan , Fatemi Shahab , Melander Olle , Engström Gunnar , Gottsäter Anders 
Published: January 2022

Background: Traditional risk factors for atherosclerotic disease (AD) are well-known, of which some are relevant also for abdominal aortic aneurysms (AAA). The present study compares the importance of plasma biomarkers and traditional risk factor profiles for incident AD without concomitant AAA (isolated AD) and AAA without concomitant AD (isolated AAA) during long-term follow-up.Methods: In the Malmö Diet and Cancer Study—cardiovascular cohort, 5,381 participants were free from atrial fibrillation or flutter, AD (coronary artery disease, atherothrombotic ischemic stroke, carotid artery disease, or peripheral artery disease), and AAA underwent blood sampling under standardized fasting conditions between 1991 and 1994. Cox proportional hazards regression analysis was used to calculate hazard ratios (HR) with 95% CIs.Results: During a median follow-up of 23.1 years, 1,152 participants developed isolated AD, and 44 developed isolated AAA. Adjusted HR for lipoprotein-associated phospholipase A2 (mass) (HR 1.53, 95% CI 1.14–2.04 vs. HR 1.05, 95% CI.99–1.12) was higher for incident isolated AAA compared to incident isolated AD, respectively. Mid-regional pro-adrenomedullin (MR-proADM) was associated with incident isolated AD (HR 1.17, 95% CI 1.1–1.25) and incident isolated AAA (HR 1.47, 95% CI 1.15–1.88). MR-proADM was correlated (r = 0.32; p &lt; 0.001) to body mass index (BMI), and BMI was associated with increased risk of incident isolated AAA (HR 1.43, 95% CI 1.02–2). No participant with diabetes mellitus (DM) at baseline developed isolated AAA (0/44), whereas DM was associated with an increased risk of isolated AD (HR 2.57, 95% CI 2.08–3.18). Adjusted HR for male sex (HR 4.8, 95% CI 2.42–9.48, vs. HR 1.76, 95% CI 1.56–1.98) and current smoking (HR 4.79, 95% CI 2.42–9.47 vs. HR 1.97, 95% CI 1.73–2.23) were higher in the incident isolated AAA group compared to the incident isolated AD group, respectively.Conclusions: The data supports the view that components of vascular inflammation and cardiovascular stress drives AAA development, whereas glycated cross-links in abdominal aortic wall tissue may have a plausible role in reducing AAA risk in individuals with DM.
Depositional Setting and Enrichment Mechanism of Organic Matter of Lower Cretaceous Shale in Ri-Qing-Wei Basin in the Central Sulu Orogenic Belt
Authors: Zhou Tengfei , Zhou Yaoqi , Zhao Hanjie , Li Manjie , Mu Hongyu 
Published: January 2022

A suite of source rock consists of mudstone and shale, with great thickness and continuous deposition was found in the well LK-1 in Lingshan island in Ri-Qing-Wei basin. In order to evaluate the hydrocarbon generation prospects of these source rock and find the mechanism of organic matter enrichment, shale samples were selected from the core for TOC (total organic carbon) and element geochemistry analysis. The results show that organic matter abundance of the source rocks are generally high with average TOC content of 1.26 wt%, suggesting they are good source rocks. The geochemical features show that the sedimentary environment is mostly anoxic brackish water to salt water environment with arid to semiarid climate condition. The enrichment mechanism of organic matter varied with the evolution of the basin, which was divided into three stages according to the sedimentary characteristics. In the initial-middle period of rifting evolution (stage 1 and early stage 2), paleoproductivity is the major factor of OM-enrichment reflecting by high positive correlation between the TOC contents and paleoproductivity proxies. While with the evolution of the rift basin, redox condition and terrigenous clastic input became more and more important until they became the major factor of OM enrichment in the middle stage of rift evolution (stage 2). In the later stage of rift evolution (latest stage 2 and stage 3), besides terrigenous clastic input, the effect of paleoclimate on OM-enrichment increased gradually from a minor factor to a major factor.
Optimal Adaptive Inertial Droop Control–Based Power System Frequency Regulation via Wind Farms
Authors: Chen Yijun , Yang Bo , Han Yiming , He Tingyi , He Peng , Meng Xian , He Xin 
Published: January 2022

Wind farm–based frequency regulation of the power system has progressively attracted more attention owing to its higher power generation capacity. Among which the step start-up and adaptive inertial droop control of wind turbines with a maximum power point efficiently regulate the system frequency via fully utilizing the rotational kinetic energy. Besides, the coefficients of adaptive droop control and virtual inertial control will facilitate a significant influence on the frequency support performance and operation status of wind turbines for the power grid. To obtain optimal control parameters, a parameter optimization framework of a step start-up adaptive inertial and droop controller combined with the CGO algorithm is proposed, whose effectiveness is verified by a three-area four-terminal VSC-MT-HVDC–based WFs and AC system in MATLAB/Simulink. As a result, a set of parameters with a satisfactory and comprehensive dynamic control performance can be acquired by the proposed method under both 200 MW and 300 WM load increases compared with the trial-and-error approach.
Preparation and Electrochemical Performance of a Graphene Cathode Catalyst Decorated With Pt by Prolysis
Authors: Wang Xi , Ren Ying , Suo Ni , Zhang Guifeng 
Published: January 2022

For fuel cells, to produce high-quality and low-platinum catalyst is a pressing technical problem. In this study, graphene cathode catalysts with controllable platinum content were decorated by pyrolyzing chloroplatinic acid under various process parameters to obtain a high catalytic activity and durability. The results show that platinum particles generated by pyrolyzing chloroplatinic acid are uniformly loaded on graphene without agglomeration. The average particle size of platinum particles is about 2.12 nm. The oxygen reduction reaction catalytic activity of catalyst samples first increases, then decreases with increasing platinum loading in cyclic voltammetry and LSV. Compared with the commercial Pt/C (20 wt% Pt) catalyst, the initial potential and the current density retention rate of the catalyst decorated with 8% platinum are 55 mV and 23.7% higher, respectively. From i-t curves, it was found that the stability of the catalyst prepared in this paper was improved compared with the commercial Pt/C catalyst. The catalysts prepared in the present research exhibits superior catalytic activity and stability.
Monitoring Progress in Citywide Sanitation
Authors: Safi Farhad , Furlong Claire , Luthra Bhitush , Rohilla Suresh Kumar , Brdjanovic Damir 
Published: January 2022

For over 10 years, citywide sanitation plans have been developed, and now, citywide inclusive sanitation is being piloted globally, yet no tools exist to monitor changes in sanitation at a citywide level. This paper explores the use of Shit Flow Diagram Graphics (SFDGs) and City Service Delivery Assessments (CSDAs) to monitor changes in sanitation at a citywide level. This was done by documenting the changes in sanitation from 2015 to 2019 in Tiruchirappalli, India, and developing SFDGs and CSDAs for those years. The changes in the SFDGs and CSDAs were then compared with the documented changes. The SFDGs captured all changes in service delivery that affected &gt;1% of the population, and all of the interventions in the enabling environment change in terms of appropriateness, acknowledgment, or implementation were captured by the CSDAs. Therefore, units of both tools were assessed to be appropriate for monitoring purposes. Using these tools to monitor change was complex and tedious, and this was improved by the development of Trend Graphs and Citywide CSDAs. This paper highlights the potential of Trend Graphs and Citywide CSDAs to monitor sanitation at a citywide level. Additionally, this is the first paper to attempt to monitor changes in sanitation holistically at a citywide level.
Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation
Authors: Ehteram Mohammad , Panahi Fatemeh , Ahmed Ali Najah , Mosavi Amir H. , El-Shafie Ahmed 
Published: January 2022

Predicting evaporation is essential for managing water resources in basins. Improvement of the prediction accuracy is essential to identify adequate inputs on evaporation. In this study, artificial neural network (ANN) is coupled with several evolutionary algorithms, i.e., capuchin search algorithm (CSA), firefly algorithm (FFA), sine cosine algorithm (SCA), and genetic algorithm (GA) for robust training to predict daily evaporation of seven synoptic stations with different climates. The inclusive multiple model (IMM) is then used to predict evaporation based on established hybrid ANN models. The adjusting model parameters of the current study is a major challenge. Also, another challenge is the selection of the best inputs to the models. The IMM model had significantly improved the root mean square error (RMSE) and Nash Sutcliffe efficiency (NSE) values of all the proposed models. The results for all stations indicated that the IMM model and ANN-CSA could outperform other models. The RMSE of the IMM was 18, 21, 22, 30, and 43% lower than those of the ANN-CSA, ANN-SCA, ANN-FFA, ANN-GA, and ANN models in the Sharekord station. The MAE of the IMM was 0.112 mm/day, while it was 0.189 mm/day, 0.267 mm/day, 0.267 mm/day, 0.389 mm/day, 0.456 mm/day, and 0.512 mm/day for the ANN-CSA, ANN-SCA, and ANN-FFA, ANN-GA, and ANN models, respectively, in the Tehran station. The current study proved that the inclusive multiple models based on improved ANN models considering the fuzzy reasoning had the high ability to predict evaporation.