bluuebunny/crossref_metadata_2025_split huggingface dataset:
MANAJEMEN PENDIDIKAN KARAKTER DALAM MEWUJUDKAN GENERASI BERAKHLAKUL KARIMAH DI SMP NEGERI 4 PURWOREJO
Authors: Muhamad Dukhri 
Published: March 2022

Penelitian ini didasari oleh pentingnya akhlakul karimah. Sehubungan dengan hal tersebut, penelitian ini bertujuan untuk mengetahui Manajemen Pendidikan Karakter dalam Mewujudkan Generasi Berakhlakul Karimah di SMP Negeri 4 Purworejo. Penelitian ini merupakan penelitian kualitatif. Pengumpulan data menggunakan wawancara, observasi, dan dokumentasi, dan keabsahan data menggunakan triangulasi, dan teknik analisis data meliputi reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian ini menunjukkan bahwa: (1) Penanaman nilai-nilai dan moralitas dalam mewujudkan generasi berakhlakul karimah di SMP Negeri 4 Purworejo dilakukan oleh kepala sekolah, guru dan karyawan dan seluruh warga sekolah. Guru mengintegrasikan karakter melalui RPP pembelajaran dan melalui kegiatan ektra kurikuler sekolah, pemberian motivasi. (2) Pemodelan Nilai-Nilai dan Moralitas dalam Mewujudkan Generasi Berakhlakul Karimah dilakukan oleh kepala sekolah semua guru dan karyawan serta orang tua. Mereka menyadari bahwa perilakunya menjadi model bagi anak didiknya. Oleh karena itu semua warga sekolah senantiasa berhati hati dalam bertingkah laku dan bertutur kata dihadapan Peserta didik di sekolah. (3) SMP Negeri 4 Purworejo memfasilitasi nilai-nilai dan moralitas dalam mewujudkan generasi berakhlakul karimah. Sekolah memberikan kesempatan peserta didik untuk mengatasi masalah berkaitan dengan kegiatan sekolah. Kepala sekolah, guru karyawan senantiasa mendengarkan dengan sungguh-sungguh keluhan, saran peserta didik. Guru melibatkan peseta didik secara langsung sehingga berpengaruh terhadap karakter peserta didik. (4) Pengembangan nilai dan literasi moral dalam mewujudkan generasi berakhlakul karimah dilakukan SMP N 4 Purworejo untuk memberikan keterampilan berfikir kritis, kreatif, dan berkomunikasi dengan jelas. (5) Pengembangan program pendidikan nilai untuk mewujudkan generasi berahlakul karimah yang dilakukan SMP N 4 Purworejo yaitu dengan memasukkan dalam pembelajaran ekstra kurikuler.
Strategi Manajemen Pembelajaran Pada Masa Covid-19 di SMK Ma’arif 9 Kebumen
Authors: Soleh . Agus Nur 
Published: March 2022

Penulisan karya ilmiah ini merupakan hasil penelitian kolaboratif tentang Manajemen Kurikulum dan Pembelajaran di Masa Covid-19 di SMK Ma’arif 9 Kebumen. Penelitian ini bertujuan untuk mengetahui manajemen kurikulum dan pembelajaran pada masa covid-19. Rumusan masalah dalam artikel ini adalah (1) Bagaimana manajemen kurikulum dan pembelajaran pada masa covid-19 di SMK Ma'arif 9 Kebumen? (2) Bagaimana hasil analisa swot terhadap manajemen kurikulum dan manjemen pembelajaran di SMK Ma’arif 9 Kebumen? Penelitian ini menggunakan metode penelitian kualitatif dengan teknik wawancara, observasi, dan dokumentasi serta analisa SWOT yang dilaksanakan pada tanggal 20 – 24 Juli 2020 di SMK Ma’arif 9 Kebumen. Informan dari penelitian ini diantaranya kepala sekolah, waka kurikulum, dan kepala jurusan. Hasil dari penelitian ini adalah SMK Ma’arif 9 Kebumen tetap menggunakan kurikulum yang sama seperti sebelum terjadi pandemi yaitu kurikulum 2013. Meskipun ada beberapa perubahan di dalam proses pembelajaran, dimana proses pembelajaran yang tadinya menggunakan metode tatap muka diubah dengan beberapa metode untuk menyesuaikan protokol kesehatan diantaranya metode daring, dan lain sebagainya.
Evaluasi Program Ujian Akhir Semester (Uas) Virtual Model Cipp (Context, Input, Process, Product) Di Iainu Kebumen Tahun Akademik 2019/2020
Authors: Subarkah , Imam , Rinawati , Atim 
Published: March 2022

Abstrak:
Penelitian ini bertujuan untuk mengetahui: 1) Untuk mengetahui bagaimana tahapan evaluasi program UAS virtual di Perguruan Tinggi IAINU Kebumen dengan model CIPP. 2) Untuk Mengetahui Efektivitas dan efisiensi dari pelaksanaan UAS virtual di IAINU Kebumen.
Penelitian ini merupakan penelitian evaluasi (evaluation research) dengan objek penelitian penyelenggaraan program Ujian Akhir Semester (UAS) Virtual pada Perguruan Tinggi IAINU Kebumen, yang dilaksanakan oleh seluruh fakultas di IAINU Kebumen. Sumber data dalam penelitian ini adalah Wakil Rektor 1 bidang Akademik dan Kemahasiswaan, Koordinator pelaksanaan UAS Virtual dan Mahasiswa yang menjadi peserta UAS Virtual perdana pada tahun 2019 di Perguruan Tinggi IAINU Kebumen. Mahasiswa yang dijadikan sampel dengan teknik Cluster Random Sampling, model evaluasi yang digunakan adalah model evaluasi CIPP dengan metode evaluasi kuantitatif. Pengumpulan data diambil melalui kuesoner, wawancara dan dokumentasi. Analisis data menggunakan statistik deskriptif dan disajikan dalam bentuk tabel dan histogram.
Hasil dari penelitian ini adalah tahapan evaluasi program yang dilakukan oleh peneliti disesuaikan dengan prosedur evaluasi program, yaitu tahap perencanaan, tahap pelaksanaan, tahap monitoring, tahap analisis data penafsiran dan tahap penyusunan rekomendasi. Setelah proses analisis data selesai dilaksanakan diperoleh hasil penelitian yang menunjukkan bahwa evaluasi program UAS virtual di IAINU Kebumen Tahun Akademik 2019/2020 adalah sebagai berikut: persentase evaluasi terhadap context menunjukkan hasil yang tergolong baik dengan persentase 75,20%, persentase evaluasi terhadap input menunjukkan hasil yang tergolong baik yaitu 68,37%, persentase evaluasi terhadap process menunjukkan hasil yang tergolong baik yaitu 71,50%, persentase evaluasi terhadap product menunjukkan hasil yang tergolong baik yaitu 73,28%. Berdasarkan hasil penelitian tersebut dapat disimpulkan bahwa pelaksanaan UAS virtual ditinjau dari keseluruhan aspek yaitu context, input, process, product tergolong baik dengan hasil persentase 72,09%. Berdasarkan persentase tersebut pelaksanaan UAS virtual dapat dikatakan efektif dan efisien. Jadi, rekomendasi yang dapat penulis berikan kepada pembuat keputusan yaitu (1) meningkatkan sarana dan prasarana penunjang UAS virtual; (2) meminimalisir terjadinya gangguan dalam sistem yang digunakan sebagai media UAS virtual; (3) meningkatkan keamanan jawaban supaya tidak terjadi plagiasi.
Investigation of Antimicrobial and Cytotoxic Properties and Specification of Silver Nanoparticles (AgNPs) Derived From Cicer arietinum L. Green Leaf Extract
Authors: Baran Ayşe , Fırat Baran Mehmet , Keskin Cumali , Hatipoğlu Abdulkerim , Yavuz Ömer , İrtegün Kandemir Sevgi , Adican Mehmet Tevfik , Khalilov Rovshan , Mammadova Afat , Ahmadian Elham , Rosić Gvozden , Selakovic Dragica , Eftekhari Aziz 
Published: March 2022

Using biological materials to synthesize metallic nanoparticles has become a frequently preferred method by researchers. This synthesis method is both fast and inexpensive. In this study, an aqueous extract obtained from chickpea (Cicer arietinum L.) (CA) leaves was used in order to synthesize silver nanoparticles (AgNPs). For specification of the synthesized AgNPs, UV-vis spectrophotometer, Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction analysis (XRD), transmission electron microscopy (TEM), scanning electron microscopy (SEM), electron dispersive X-ray (EDX), and zeta potential (ZP) analyses data were used. Biologically synthesized AgNPs demonstrated a maximum surface plasmon resonance of 417.47 nm after 3 h. With the powder XRD model, the mean crystallite dimension of nanoparticles was determined as 12.17 mm with a cubic structure. According to the TEM results, the dimensions of the obtained silver nanoparticles were found to be 6.11–9.66 nm. The ZP of the electric charge on the surface of AgNPs was measured as −19.6 mV. The inhibition effect of AgNPs on food pathogen strains and yeast was determined with the minimum inhibition concentration (MIC) method. AgNPs demonstrated highly effective inhibition at low concentrations especially against the growth of B. subtilis (0.0625) and S. aureus (0.125) strains. The cytotoxic effects of silver nanoparticles on cancerous cell lines (CaCo-2, U118, Sk-ov-3) and healthy cell lines (HDF) were revealed. Despite the increase of AgNPs used against cancerous and healthy cell lines, no significant decrease in the percentage of viability was detected.
Regulation of Dystroglycan Gene Expression in Early Myoblast Differentiation
Authors: Hamed Munerah , Chen Jihong , Li Qiao 
Published: March 2022

Dystroglycan, a component of the dystrophin-associated glycoprotein complex, connects the extracellular matrix and cytoskeleton to maintain muscle membrane integrity. As such, abnormalities of dystroglycan are linked to different types of muscular dystrophies. In an effort to develop therapeutic approaches to re-establish signal integration for muscle repair and homeostasis, we have previously determined that a clinically approved agonist of retinoid X receptor enhances myoblast differentiation through direct regulation of gene expression of the muscle master regulator MyoD. Using comprehensive omics and molecular analyses, we found that dystroglycan gene expression is responsive to retinoid X receptor-selective signaling in early myoblast differentiation. In addition, the dystroglycan gene is a MyoD target, and residue-specific histone acetylation coincides with the occupancy of histone acetyltransferase p300 at the MyoD binding sites. Consequently, the p300 function is important for rexinoid-augmented dystroglycan gene expression. Finally, dystroglycan plays a role in myoblast differentiation. Our study sheds new light on dystroglycan regulation and function in myoblast differentiation and presents a potential avenue for re-establishing signal integration of a specific chromatin state pharmacologically to overcome muscle pathology and identify additional myogenic interactions for therapeutic applications.
Optimization in Chemical Modification of Single-Stranded siRNA Encapsulated by Neutral Cytidinyl/Cationic Lipids
Authors: Li Zheng , Wang Xixian , Zhou Xinyang , Wang Jie , Guan Zhu , Yang Zhenjun 
Published: March 2022

Single-stranded siRNA (ss-siRNA) refers to the antisense strand of siRNA, which plays the role of gene silencing. Since single-stranded RNA is unstable, the present study employed a homemade neutral cytidinyl/cationic lipid delivery system and chemical modifications to improve its stability. The results showed that with the aid of mixed lipids, ss-siRNA could knock down 40% of target mRNA at 25 nM. With 2ʹ-F/2ʹ-OMe, phosphorothioate and 5ʹ-terminal phosphorylation, the optimized ss-siRNA could knock down 80% of target mRNA at 25 nM. Further knocking down AGO2, the ss-siRNAs could not effectively silence target mRNAs. Analysis of the biodistribution in vivo showed that ss-siRNA was less durable than siRNA, but spread more quickly to tissues. This study provides a safe and efficient ss-siRNA delivery and modification strategy, which lays the foundation for future works.
Development and Validation of a Risk Prediction Model for Venous Thromboembolism in Lung Cancer Patients Using Machine Learning
Authors: Lei Haike , Zhang Mengyang , Wu Zeyi , Liu Chun , Li Xiaosheng , Zhou Wei , Long Bo , Ma Jiayang , Zhang Huiyi , Wang Ying , Wang Guixue , Gong Mengchun , Hong Na , Liu Haixia , Wu Yongzhong 
Published: March 2022

BackgroundThere is currently a lack of model for predicting the occurrence of venous thromboembolism (VTE) in patients with lung cancer. Machine learning (ML) techniques are being increasingly adapted for use in the medical field because of their capabilities of intelligent analysis and scalability. This study aimed to develop and validate ML models to predict the incidence of VTE among lung cancer patients.MethodsData of lung cancer patients from a Grade 3A cancer hospital in China with and without VTE were included. Patient characteristics and clinical predictors related to VTE were collected. The primary endpoint was the diagnosis of VTE during index hospitalization. We calculated and compared the area under the receiver operating characteristic curve (AUROC) using the selected best-performed model (Random Forest model) through multiple model comparison, as well as investigated feature contributions during the training process with both permutation importance scores and the impurity-based feature importance scores in random forest model.ResultsIn total, 3,398 patients were included in our study, 125 of whom experienced VTE during their hospital stay. The ROC curve and precision–recall curve (PRC) for Random Forest Model showed an AUROC of 0.91 (95% CI: 0.893–0.926) and an AUPRC of 0.43 (95% CI: 0.363–0.500). For the simplified model, five most relevant features were selected: Karnofsky Performance Status (KPS), a history of VTE, recombinant human endostatin, EGFR-TKI, and platelet count. We re-trained a random forest classifier with results of the AUROC of 0.87 (95% CI: 0.802–0.917) and AUPRC of 0.30 (95% CI: 0.265–0.358), respectively.ConclusionAccording to the study results, there was no conspicuous decrease in the model’s performance when use fewer features to predict, we concluded that our simplified model would be more applicable in real-life clinical settings. The developed model using ML algorithms in our study has the potential to improve the early detection and prediction of the incidence of VTE in patients with lung cancer.
Visit-to-Visit Heart Rate Variability Is Positively Associated With the Risk of Adverse Cardiovascular Outcomes
Authors: Zeng Rong , Wang Zuoguang , Cheng Wenli , Yang Kun 
Published: March 2022

IntroductionPrevious studies found visit-to-visit heart rate variability (VVHRV) may be positively associated with risks of several cardiovascular events, but whether VVHRV affected the benefit of intensive blood pressure control remained unknown. In this study, we assessed the risk of the composite cardiovascular outcomes associated with VVHRV among the older patients with hypertension and evaluated whether the benefit of intensive blood pressure control in the prevention of the composite cardiovascular outcomes was consistent in the context of elevated VVHRV.MethodsThis was a post-hoc analysis of the Systolic Blood Pressure Intervention Trial (SPRINT). We explored the relationship between VVHRV and the composite cardiovascular outcomes by multivariate Cox proportional hazard regressions. The primary endpoint was the composite cardiovascular outcomes, same as SPRINT, defined as a composite of myocardial infarction, stroke, heart failure, and/or death from cardiovascular causes. We used multiple adjustment models for all regressions.ResultsNine thousand two hundred and fourty-seven patients from the SPRINT were included in our analysis. We found a positive association between VVHRV and the risk of composite cardiovascular outcomes among the elderly with hypertension. Per 1 CV increment in HRCV, the hazard ratio of the risk of composite cardiovascular outcomes was 1.04 (95CI: 1.03, 1.05) in the fully adjusted Model. The benefit of intensive blood pressure control in managing cardiovascular events was consistent in different VVHRV subgroups. There was no significant interaction in other confounders.ConclusionWe found the VVHRV was associated with the composite cardiovascular outcomes among the elderly with hypertension, intensive blood pressure control did not change the above association, and the benefits of intensive blood pressure management were consistent across different VVHRV groups.
Relationship Between Summer Compound Hot and dry Extremes in China and the Snow Cover Pattern in the Preceding Winter
Authors: Yao Haoxin , Zhao Liang , Shen Xinyong , Xiao Ziniu , Li Qingquan 
Published: March 2022

With global warming, the probability of summer compound hot and dry extreme (CHDE) days, which are higher risk compared with single-factor extreme events, increases in some regions. However, there have been few studies on the winter precursor signals of such events. In this study, we found that summer CHDEs have generally increased in the last 20 years, with the increases in the middle and lower reaches of the Yangtze River region and Southwest China being more than double those in other regions of China. The dominant mode of summer CHDEs in China is characterized by more hot–dry days in the Yangtze–Huaihe River Basin (YHRB). Importantly, we found that there is an obvious cross-seasonal relationship between the first mode of winter snow cover in the Northern Hemisphere (NH) and summer CHDEs in China. When the mode of winter snow cover in the NH is in a positive phase with a negative-phase Arctic Oscillation (AO), i.e., more snow cover in Europe, Northeast China, and the northern United States, and less snow cover in central Asia and the midlatitudes in winter, more CHDEs in China in the following summer. Compared with the signals from the AO, these signals from winter snow can be better stored and transmitted into summer through the snow, soil and ocean, inducing a northward shift of the upper-level westerly jet and strengthening of South Asia high. Through the strong dynamic forcing of negative vorticity advection with the change of westerly jet, the subsidence movement in the western Pacific subtropical high (WPSH) region is strengthened, resulting in the stable maintenance of the WPSH in the YHRB. Under the synergy of a remote mid- and high-latitude wave train in summer, which also relates closely to winter snow cover, more CHDEs ultimately occur in the YHRB of China.
miRNAs as Predictive Factors in Early Diagnosis of Gestational Diabetes Mellitus
Authors: Juchnicka Ilona , Kuźmicki Mariusz , Niemira Magdalena , Bielska Agnieszka , Sidorkiewicz Iwona , Zbucka-Krętowska Monika , Krętowski Adam Jacek , Szamatowicz Jacek 
Published: March 2022

IntroductionCirculating miRNAs are important mediators in epigenetic changes. These non-coding molecules regulate post-transcriptional gene expression by binding to mRNA. As a result, they influence the development of many diseases, such as gestational diabetes mellitus (GDM). Therefore, this study investigates the changes in the miRNA profile in GDM patients before hyperglycemia appears.Materials and MethodsThe study group consisted of 24 patients with GDM, and the control group was 24 normoglycemic pregnant women who were matched for body mass index (BMI), age, and gestational age. GDM was diagnosed with an oral glucose tolerance test between the 24th and 26th weeks of pregnancy. The study had a prospective design, and serum for analysis was obtained in the first trimester of pregnancy. Circulating miRNAs were measured using the NanoString quantitative assay platform. Validation with real time-polymerase chain reaction (RT-PCR) was performed on the same group of patients. Mann-Whitney U-test and Spearman correlation were done to assess the significance of the results.ResultsAmong the 800 miRNAs, 221 miRNAs were not detected, and 439 were close to background noise. The remaining miRNAs were carefully investigated for their average counts, fold changes, p-values, and false discovery rate (FDR) scores. We selected four miRNAs for further validation: miR-16-5p, miR-142-3p, miR-144-3p, and miR-320e, which showed the most prominent changes between the studied groups. The validation showed up-regulation of miR-16-5p (p&lt;0.0001), miR-142-3p (p=0.001), and miR-144-3p (p=0.003).ConclusionWe present changes in miRNA profile in the serum of GDM women, which may indicate significance in the pathophysiology of GDM. These findings emphasize the role of miRNAs as a predictive factor that could potentially be useful in early diagnosis.
Design, Fabrication, and Thermal Evaluation of a Solar Cooking System Integrated With Tracking Device and Sensible Heat Storage Materials
Authors: Komolafe Clement A. , Okonkwo Clinton E. 
Published: March 2022

Energy need for cooking in both the rural and urban areas all over the world is increasing every day as a result of an increase in population. The consequence of global warming due to the usage of fuels such as fossil fuel, firewood, and other biomass products for cooking necessitates innovative techniques that will improve the standard of living of people. In this study, the design, fabrication, and thermal evaluation of a solar cooking system integrated with an Arduino-based tracking device and sensible heat storage (SHS) materials was investigated. During the water boiling trials with black oil sensible material (BOSHSM), the obtained maximum temperatures for water, cooking box, and sensible heat storage material at 14:00 h when the solar radiation attained its peak value of 881.2 W/m2 were 64,52, and 54°C, respectively, while at 14:00 h with Black coated granite sensible heat storage material (BCGSHSM) at the solar radiation peak value of 890.4 W/m2, the maximum temperatures for water, cooking box, and sensible heat storage material were 73.5, 76, and 59°C, respectively. The maximum cooking power and thermal efficiency obtained from the water boiling trials were 48.4 and 56.4 W, and 31.6 and 35.8% respectively. Also, the results from the cooking of edibles revealed that the cooking power values ranged between 42.5 and 58.2, while that of efficiency ranged between 34.5 and 40.3% respectively. The maximum solar radiation during the cooking trial period was 986, 975, 956, and 953 W/m2. In general, from the results, the developed solar cooking system is a viable alternative to cooking with traditional/open burning of wood or other biomass products that pose a serious environmental and health-related threat to the people living in developing countries.
Performance and Economic Analysis of Organosolv Softwood and Herbaceous Lignins to Activated Carbons as Electrode Materials in Supercapacitors
Authors: Yu Lu , Seabright Kendhl , Bajaj Ishan , Keffer David J. , Alonso David M. , Hsieh Chien-Te , Li Mi , Chen Hao , Dai Sheng , Gandomi Yasser Ashraf , Maravelias Christos T. , Harper David P. 
Published: March 2022

In this work, yellow pine (YP, softwood) and switchgrass (SG, grass) lignins were extracted as a coproduct of an organosolv γ-valerolactone (GVL) biorefinery that also produces biofuels and furfural. The extracted lignins were converted to carbon precursors for synthesizing porous activated carbon electrodes for high energy-density supercapacitors. This research details the impact of lignin composition on the derived porous structures and electrochemical properties of activated carbons. Lignin precursors with various syringyl (S) to guaiacyl (G) contents were characterized using31P nuclear magnetic resonance (NMR) and two-dimensional1H‒13C NMR. A two-step activation process, using steam and carbon dioxide as the activating agents, enabled the formation of porous carbons structures with high surface area. The capacitive behavior of supercapacitors was systematically characterized by cyclic voltammetry, charge-discharge cycling, and electrochemical impedance spectroscopy. The specific capacitance of YP and SG capacitors reached 367 and 221 F g−1, respectively. Both types of capacitors demonstrated remarkably stable capacitance (capacitance retention &gt;90%) along with excellent Coulombic efficiency (&gt;99%) over 10,000 cycles. Compared to SG electrode, the better electrochemical performance achieved with YP electrodes was mainly due to shorter diffusion path, improved ionic mobility, and increased active surface area. The inexpensive lignin-based porous electrodes synthesized in this work can be used for various electrochemical devices for improved performance, decreased cost, and enhanced durability. This work also demonstrates that the selection of feedstock and appropriate processing conditions can tailor the structure of carbon composites for targeted applications. Techno-economic analysis indicates that YP and SG activated carbons can be produced at a minimum selling price of $8,493 and $6,670 per ton, respectively, which is competitive with the commercially available supercapacitor-grade activated carbons.