bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengembangan Modul Fisika Berbasis Discovery Learning (Dl) Pada Pokok Bahasan Keseimbangan Dan Dinamika Rotasi
Authors: Unanti Nabila , Lovisia Endang 
Published: December 2021

Penelitian ini bertujuan untuk mengembangan Modul Fisika Berbasis discovery learning (DL) pada pokok bahasan Kesetimbangan dan Dinamika Rotasi yang valid, dan praktis. Masalah dalam penelitian ini adalah 1)Bagaimana Mengembangkan Modul Fisika Berbasis Discovery Learning (DL) Pada Pokok Bahasan Keseimbangan dan Dinamika Rotasi Siswa di Kelas XI SMA Negeri 2 Rujukan Muara Beliti. 2)Bagaimana Karakteristik Modul Fisika Berbasis Discovery Learning (DL) Untuk Memenuhi Sasaran Kevalidan dan Kepraktisan Pada Pokok Bahasan Keseimbangan dan Dinamika Rotasi Siswa di Kelas XI SMA Negeri 2 Rujukan Muara Beliti. Subjek dalam penelitian ini adalah kelas XI MIPA 3 SMA Negeri 2 Rujukan Muara Beliti yang terdiri dari 9 siswa yang diambil dengan teknik purposive sampling. Pengembangan penelitian ini menggunakan model Four-D yang terdiri dari Define, Design, Develop dan Dessimination. Pengumpulan data dilakukan dengan teknik angket respon siswa. Dan validasi terdiri dari 3 validasi ahli, validasi materi dengan penilaian 37 dalam kategori baik, validasi bahasa dengan penilaian 18 dalam kategori baik, dan validasi media dengan penilaian 27 dalam kategori baik. Validasi yang dilakukan mendapatkan hasil dengan penilaian 82 dalam kategori baik Respon siswa terhadap modul fisika berbasis Discovery Learning dengan penilaian 33 dalam kategori sangat baik. Sehingga dapat dikatakan bahwa Modul fisika berbasis Discovery Learning yang dikembangkan telah valid,dan praktis.
Sławomir Zatwardnicki, Księgi natchnione i ich interpretacja. Inspirujące przesłanie Josepha Ratzingera – Benedykta XVI (Lublin: Academicon 2021)
Authors: Szymik Stefan Henryk 
Published: December 2021

Recenzja książki: Sławomir Zatwardnicki, Księgi natchnione i ich interpretacja. Inspirujące przesłanie Josepha Ratzingera – Benedykta XVI (Lublin: Academicon 2021). Ss. 240. 36 PLN. ISBN 978-83-62475-56-8 (oprawa miękka), 978-83-62475-59-9 (ebook)
РОБОТА З МЕДІАТЕКСТОМ НА УРОКАХ МОВНО-ЛІТЕРАТУРНОЇ ОСВІТНЬОЇ ГАЛУЗІ ЯК МЕТОД ФОРМУВАННЯ МЕДІАГРАМОТНОСТІ МОЛОДШИХ ШКОЛЯРІВ
Authors: Єфіменко Альона , Ішутіна Олена 
Published: December 2021

У статті проаналізовано роль і можливості використання медіатекстів на уроках мовно-літературної освітньої галузі з метою формування медіаграмотності учнів початкової школи. Доведено, що проблема формування медіаграмотності молодших школярів є актуальним питанням не лише для вищої освіти в Україні, а й в інших країнах. У статті проаналізовано Типову програму нової української школи, яка пропонує змістову лінію «Досліджуємо медіа» і визначає обсяг знань, умінь і навичок учнів у роботі з медіа.
Автори зазначають, що учні початкової школи в медіапросторі натрапляють на цілу низку різноманітних медіатекстів, які можна класифікувати за джерелом сприймання інформації (візуальні, аудіальні, аудіовізуальні), за характером впливу (текст-схема, символ, ілюстрація, алгоритм, інструкція, текс-тест). Зауважено, що використання медіазасобів на уроках української мови, літературного читання допомагає активізувати навчальну діяльність, дозволяє урізноманітнювати освітній процес, підвищує якість та результативність уроку, робить його яскравішим, більш емоційно та інформаційно насиченим.
З ДОСВІДУ ПРОВЕДЕННЯ ЗАНЯТЬ ЛІНГВІСТИЧНОГО ЦИКЛУ З ВИКОРИСТАННЯМ МЕТОДІВ І ТЕХНОЛОГІЙ ДИСТАНЦІЙНОГО НАВЧАННЯ
Authors: Маторіна Наталя 
Published: December 2021

Статтю присвячено актуальній проблемі розвитку вищої освіти України – характеристиці системи дистанційного навчання в українських закладах вищої освіти, яке може й повинно посісти пріоритетне місце на теренах вітчизняної освіти, оскільки за грамотної організації дистанційне навчання забезпечує якісну освіту, що відповідає вимогам сучасного соціуму. Репрезентовано науково-методичний потенціал, інформаційні ресурси, набутий досвід використання технологій дистанційного навчання на філологічному факультеті ДВНЗ «Донбаський державний педагогічний університет» (м. Слов’янськ Донецької області, Україна) під час вивчення дисциплін лінгвістичного циклу, схарактеризовано технології опосередкованого активного спілкування викладачів і здобувачів із застосуванням телекомунікаційного зв’язку й методології індивідуальної роботи здобувачів вищої освіти з навчальним матеріалом, представленим в електронному вигляді тощо.
Dispersões sólidas de extratos de folhas de Eugenia florida DC. (Myrtaceae) para otimização da solubilidade do marcador ácido betulínico
Authors: Nóbrega Andréa Bezerra da , Bizarri Carlos Henrique Brasil , Paz Andressa Santana , Seiceira Rafael Cardoso , Conceição Edemilson Cardoso da 
Published: December 2021

Eugenia florida DC. pertence à família Myrtaceae. Estudos fitoquímicos anteriores com extratos de folhas de E. florida revelaram a ocorrência de triterpenos e, entre seus constituintes, o ácido betulínico (AB), que apresenta uma vasta literatura com diferentes atividades biológicas, como anti-inflamatório, antimalárico, antimicrobiano, antiviral e anticâncer, porém, sua baixa solubilidade aquosa limita a sua biodisponibilidade. Para o aumento da biodisponibilidade tem destaque o uso de disperões sólidas, onde fármacos lipofílicos são dispersos em carreadores hidrofílicos, acarretando um aumento da solubilidade e perfil de dissolução. Neste trabalho, dispersões sólidas contendo extratos de E. florida foram preparados utilizando o carreador Gelucire®50/13 como agente polímerérico e a lactose monohidratada como suporte hidrofílico empregando a técnica de fusão. O sistema que apresentou melhor solubilidade de AB foi caracterizado através das técnicas de espectroscopia do Infravermelho com Transformada de Fourier (FTIR), Análise de Termogravimetria (TGA), Calorimetria Exploratória Diferencial (DSC) e Difratometria de Raios-X (DRX). A técnica de dispersão sólida aumentou onze vezes a solubilidade do ácido betulínico presente no extrato de folhas de Eugenia florida DC. (Myrtaceae), sugerindo o aumento da biodisponibilidade do marcador.
Pemilihan Dosen Penguji Skripsi Menggunakan Metode ARAS, COPRAS dan WASPAS
Authors: Hutagalung Juniar , Indah R Mentari Tri 
Published: December 2021

Penentuan dosen penguji skripsi dalam penelitian ini menggunakan metode ARAS, COPRAS dan WASPAS dengan 5 kriteria : masa kerja, fungsional, kompetensi, pendidikan dan tugas belajar serta ada 20 data alternatif. Penunjukan dosen penguji skripsi di STMIK Triguna Dharma, saat ini dilakukan masih secara langsung dan manual serta adakalanya mengesampingkan jumlah mahasiswa yang akan diuji sehingga kurang seimbang jumlahnya untuk setiap dosen. Masih ada ditemukan keputusan yang kurang optimal saat penunjukan dosen yang tidak sesuai dengan tema skripsi mahasiswa sehingga nilai kualitas karya ilmiah menurun. Untuk itu diperlukan sistem yang berguna dalam penentuan calon dosen penguji, agar sesuai dengan kompetensi calon dosen penguji dan tidak terlalu banyak jumlah mahasiswa yang akan diuji agar lebih fokus. Perbandingan metode dalam penelitian ini dengan melakukan perangkingan supaya diperoleh alternatif secara optimal dan objektif diawali dengan penentuan bobot dari setiap kriteria, hasil ranking diurutkan dari nilai yang tertinggi agar pemilihan dosen penguji mudah ditentukan dan sebagai alat rekomendasi bagi pihak pengambil keputusan. Untuk mendapatkan pilihan terbaik metode ARAS menggunakan nilai utilitas (Ki) tertinggi, metode COPRAS didasarkan pada skor penilaian utilitas quantitatif (Ui) tertinggi dan metode WASPAS menggunakan nilai preferensi (Qi) tertinggi untuk mendapatkan pilihan terbaik. Alternatif terbaik dengan metode ARAS menghasilkan (A6=0,9385) selanjutnya A5, A19, A3, A11, A14, A16, A18, A10, A4, A17, A9 layak untuk direkomendasi. Metode COPRAS menghasilkan (A6=100) dan metode WASPAS menghasilkan (A6=0,7083)
Equivalence and Difference of Semantic Relations in Black Panther Movie Script
Authors: Fia Sulvia , Masri Fina Amalia 
Published: December 2021

This study used the Black Panther movie script by Ryan Coogler and Joe Robert Cole as the object of the study. The aim of this study was to find out equivalences and differences of semantic relations used in the Black Panther movie script. This study used Norman Fairclough’s theory that was equivalence and difference of semantic relations. The method used in this study was descriptive qualitative study methods. The primary data was taken from the Black Panther movie script, and secondary data was taken from the audiovisual movie related to the material objects. Techniques of the data collection were downloading Black Panther movie scripts on the internet, reading all the movie scripts repeatedly and comprehensively, checking the words or utterances spoken in the movie script, identifying the semantic relations between clauses and sentences in the form of addition, elaborating, and contrasting in the movie scripts, and then coding the data. Techniques of the data analysis were presenting the data, describing and interpreting the data in the form of words, clauses, and sentences, and then concluding the data. The result of the study showed that there were 55 data found, they were Elaboration consists of 14 data, Addition consists of 9 data, and Contrast consists of 32 data. Equivalences of semantic relations were used with the repetition in the form of words, phrases, clauses, and sentences where the purpose has the same perspective or vision. While differences of semantic relations were used by writing a different meaning from the previous clause or sentence.
Biochemical Characterization of Cellulase From Bacillus subtilis Strain and its Effect on Digestibility and Structural Modifications of Lignocellulose Rich Biomass
Authors: Malik Waseem Ayoub , Javed Saleem 
Published: December 2021

Microbial cellulases have become the mainstream biocatalysts due to their complex nature and widespread industrial applications. The present study reports the partial purification and characterization of cellulase from Bacillus subtilis CD001 and its application in biomass saccharification. Out of four different substrates, carboxymethyl cellulose, when amended as fermentation substrate, induced the highest cellulase production from B. subtilis CD001. The optimum activity of CMCase, FPase, and amylase was 2.4 U/ml, 1.5 U/ml, and 1.45 U/ml, respectively. The enzyme was partially purified by (NH4)2SO4 precipitation and sequenced through LC-MS/MS. The cellulase was found to be approximately 55 kDa by SDS-PAGE and capable of hydrolyzing cellulose, as confirmed by zymogram analysis. The enzyme was assigned an accession number AOR98335.1 and displayed 46% sequence homology with 14 peptide-spectrum matches having 12 unique peptide sequences. Characterization of the enzyme revealed it to be an acidothermophilic cellulase, having an optimum activity at pH 5 and a temperature of 60°C. Kinetic analysis of partially purified enzyme showed the Km and Vmax values of 0.996 mM and 1.647 U/ml, respectively. The enzyme activity was accelerated by ZnSO4, MnSO4, and MgSO4, whereas inhibited significantly by EDTA and moderately by β-mercaptoethanol and urea. Further, characterization of the enzyme saccharified sugarcane bagasse, wheat straw, and filter paper by SEM, ATR-FTIR, and XRD revealed efficient hydrolysis and structural modifications of cellulosic materials, indicating the potential industrial application of the B. subtilis CD001 cellulase. The findings demonstrated the potential suitability of cellulase from B. subtilis CD001 for use in current mainstream biomass conversion into fuels and other industrial processes.
Transcriptional, Electrophysiological, and Metabolic Characterizations of hESC-Derived First and Second Heart Fields Demonstrate a Potential Role of TBX5 in Cardiomyocyte Maturation
Authors: Pezhouman Arash , Nguyen Ngoc B. , Sercel Alexander J. , Nguyen Thang L. , Daraei Ali , Sabri Shan , Chapski Douglas J. , Zheng Melton , Patananan Alexander N. , Ernst Jason , Plath Kathrin , Vondriska Thomas M. , Teitell Michael A. , Ardehali Reza 
Published: December 2021

Background: Human embryonic stem cell-derived cardiomyocytes (hESC-CMs) can be used as a source for cell delivery to remuscularize the heart after myocardial infarction. Despite their therapeutic potential, the emergence of ventricular arrhythmias has limited their application. We previously developed a double reporter hESC line to isolate first heart field (FHF: TBX5+NKX2-5+) and second heart field (SHF: TBX5-NKX2-5+) CMs. Herein, we explore the role of TBX5 and its effects on underlying gene regulatory networks driving phenotypical and functional differences between these two populations.Methods: We used a combination of tools and techniques for rapid and unsupervised profiling of FHF and SHF populations at the transcriptional, translational, and functional level including single cell RNA (scRNA) and bulk RNA sequencing, atomic force and quantitative phase microscopy, respirometry, and electrophysiology.Results: Gene ontology analysis revealed three biological processes attributed to TBX5 expression: sarcomeric structure, oxidative phosphorylation, and calcium ion handling. Interestingly, migratory pathways were enriched in SHF population. SHF-like CMs display less sarcomeric organization compared to FHF-like CMs, despite prolonged in vitro culture. Atomic force and quantitative phase microscopy showed increased cellular stiffness and decreased mass distribution over time in FHF compared to SHF populations, respectively. Electrophysiological studies showed longer plateau in action potentials recorded from FHF-like CMs, consistent with their increased expression of calcium handling genes. Interestingly, both populations showed nearly identical respiratory profiles with the only significant functional difference being higher ATP generation-linked oxygen consumption rate in FHF-like CMs. Our findings suggest that FHF-like CMs display more mature features given their enhanced sarcomeric alignment, calcium handling, and decreased migratory characteristics. Finally, pseudotime analyses revealed a closer association of the FHF population to human fetal CMs along the developmental trajectory.Conclusion: Our studies reveal that distinguishing FHF and SHF populations based on TBX5 expression leads to a significant impact on their downstream functional properties. FHF CMs display more mature characteristics such as enhanced sarcomeric organization and improved calcium handling, with closer positioning along the differentiation trajectory to human fetal hearts. These data suggest that the FHF CMs may be a more suitable candidate for cardiac regeneration.
Anaerobic Digestion of Animal Manure and Influence of Organic Loading Rate and Temperature on Process Performance, Microbiology, and Methane Emission From Digestates
Authors: Ahlberg-Eliasson Karin , Westerholm Maria , Isaksson Simon , Schnürer Anna 
Published: December 2021

Biogas production from manure is of particular value in regard of lowering greenhouse gas emissions and enhancing nutrient re-circulation. However, the relatively low energy content and the characteristics of manure often result in low degradation efficiency, and the development of operating strategies is required to improve the biogas yield and the economic benefits. In this study, the potential to enhance the performance of two full-scale biogas plants operating with cattle manure, in mono-digestion or combined with poultry manure, was investigated. Four continuously fed laboratory-scale reactors were operated in sets of two, in which the temperature in one reactor in each set was increased from 37–42°C to 52°C. The potential to increase the capacity was thereafter assessed by increasing the organic loading rate (OLR), from ca 3 to 5 kg volatile solids (VS)/ m3 and day. The processes were evaluated with both chemical and microbiological parameters, and in addition, the residual methane potential (RMP) was measured to evaluate the risk of increased methane emissions from the digestate. The results showed that both processes could be changed from mesophilic to themophilic temperature without major problems and with a similar shift in the microbial community profile to a typical thermophilic community, e.g., an increase in the relative abundance of the phylum Firmicutes. However, the temperature increase in the reactor co-digesting cattle and poultry manure caused a slight accumulation of fatty acids (2 g/l) and reduced the specific methane production, most likely due to ammonia inhibition (0.4–0.7 g NH3/l). Still, during operation at higher OLR, thermophilic as compared to mesophilic temperature slightly increased the methane yield and specific methane production, in both investigated processes. However, the higher OLR decreased the overall degree of degradation in all processes, and this showed a positive correlation with increased RMP values. Chemical analyses suggested that high RMP values (40–98 Nml gVS−1) were related to the degradation of cellulose, hemicellulose, and volatile fatty acid enriched in the digestate. Conclusively, increased temperature and load can increase the methane yield from manure but can result in less efficient degradation and increased risks for methane emissions during storage and handling of the digestate.
Presence of Anti-MDA5 Antibody and Its Value for the Clinical Assessment in Patients With COVID-19: A Retrospective Cohort Study
Authors: Wang Geng , Wang Qian , Wang Yeming , Liu Changzheng , Wang Linghang , Chen Hong , Jiao Tao , Hu Chaojun , Lei Xiaobo , Guo Li , Ren Lili , Li Mengtao , Zhao Yan , Zeng Xiaofeng , Zhang Dingyu , Cao Bin , Wang Jianwei 
Published: December 2021

BackgroundStriking similarities have been found between coronavirus disease 2019 (COVID-19) and anti-melanoma differentiation-associated gene 5 (MDA5) antibody (Ab)-related dermatomyositis, implying a shared autoinflammatory aberrance. Herein, we aim to investigate whether the anti-MDA5 Ab is present in COVID-19 and correlates with the severity and adverse outcome of COVID-19 patients.Methods and FindingsWe retrospectively recruited 274 adult inpatients with COVID-19 in this study, including 48, 164, and 62 cases of deaths, severe, and non-severe patients respectively. The anti-MDA5 Ab was determined by ELISA and verified by Western Blotting, which indicated that the positive rate of anti-MDA5 Ab in COVID-19 patients was 48.2% (132/274). The clinical and laboratory features, as well as outcomes between patients with positive and negative anti-MDA5 Ab were compared and we found that the anti-MDA5 Ab positive patients tended to represent severe disease (88.6% vs 66.9%, P&lt;0.0001). We also demonstrated that the titer of anti-MDA5 Ab was significantly elevated in the non-survivals (5.95 ± 5.16 vs 8.22 ± 6.64, P=0.030) and the positive rate was also higher than that in the survivals (23.5% vs 12.0%, P=0.012). Regarding severe COVID-19 patients, we found that high titer of anti-MDA5 Ab (≥10.0 U/mL) was more prevalent in the non-survivals (31.2% vs 14.0%, P=0.006). Moreover, a dynamic analysis of anti-MDA5 Ab was conducted at different time-points of COVID-19, which revealed that early profiling of anti-MDA5 Ab could distinguish severe patients from those with non-severe ones.ConclusionsAnti-MDA5 Ab was prevalent in the COVID-19 patients and high titer of this antibody is correlated with severe disease and unfavorable outcomes.
Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting the Risk of Surgical Site Infection Following Minimally Invasive Transforaminal Lumbar Interbody Fusion
Authors: Wang Haosheng , Fan Tingting , Yang Bo , Lin Qiang , Li Wenle , Yang Mingyu 
Published: December 2021

Purpose: Machine Learning (ML) is rapidly growing in capability and is increasingly applied to model outcomes and complications in medicine. Surgical site infections (SSI) are a common post-operative complication in spinal surgery. This study aimed to develop and validate supervised ML algorithms for predicting the risk of SSI following minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF).Methods: This single-central retrospective study included a total of 705 cases between May 2012 and October 2019. Data of patients who underwent MIS-TLIF was extracted by the electronic medical record system. The patient's clinical characteristics, surgery-related parameters, and routine laboratory tests were collected. Stepwise logistic regression analyses were used to screen and identify potential predictors for SSI. Then, these factors were imported into six ML algorithms, including k-Nearest Neighbor (KNN), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), Multi-Layer Perceptron (MLP), and Naïve Bayes (NB), to develop a prediction model for predicting the risk of SSI following MIS-TLIF under Quadrant channel. During the training process, 10-fold cross-validation was used for validation. Indices like the area under the receiver operating characteristic (AUC), sensitivity, specificity, and accuracy (ACC) were reported to test the performance of ML models.Results: Among the 705 patients, SSI occurred in 33 patients (4.68%). The stepwise logistic regression analyses showed that pre-operative glycated hemoglobin A1c (HbA1c), estimated blood loss (EBL), pre-operative albumin, body mass index (BMI), and age were potential predictors of SSI. In predicting SSI, six ML models posted an average AUC of 0.60–0.80 and an ACC of 0.80–0.95, with the NB model standing out, registering an average AUC and an ACC of 0.78 and 0.90. Then, the feature importance of the NB model was reported.Conclusions: ML algorithms are impressive tools in clinical decision-making, which can achieve satisfactory prediction of SSI with the NB model performing the best. The NB model may help access the risk of SSI following MIS-TLIF and facilitate clinical decision-making. However, future external validation is needed.