bluuebunny/crossref_metadata_2025_split huggingface dataset:
MUATAN PENDIDIKAN KARAKTER DALAM CERITA PENDEK DI BUKU PELAJARAN BAHASA INDONESIA SMA
Authors: Sufanti Main , Oktaviani Anis , Cahyati Jeni Nur , Sholeh Khabib 
Published: January 2022

This study aims to (1) Describe short stories published in Indonesian textbooks for high school. (2) Describe the content of character education in short stories in Indonesian textbooks for high school. This research is a qualitative descriptive study. Data in this study are words, sentences and paragraphs in short stories in Indonesian textbooks for high school. Data sources in this study are Indonesian language textbooks for high schools which are still used in high school, both based on the 2006 curriculum and based on the 2013 curriculum. Data collection techniques used in this study are intensive reading and recording techniques. Data analysis techniques with heuristic and hermeunitic techniques. The results of this study are as follows. (1) The study found 18 lessons in Indonesian language studies, 3 books that did not include a pen, and 15 books included a pen. In 15 lessons found 27 short stories. (2) Short stories in sufficient learning have the potential for 12 educational values of religious character, responsibility, social scrutiny, love, honesty, hard work, tolerance, nationalism, water love, friendship, democracy, and curiosity. The most frequently occurring educational values of character are religious, responsibility, social scrutiny, and love.<div> </div>
STUDI KESALAHAN PEMAKAIAN EJAAN DAN STRUKTUR KARANGAN EKSPLANASI SISWA KELAS VIII SMP NEGERI 1 BANYUDONO
Authors: Susanti Dani Dwi , Andayani Andayani , Suryanto Edy 
Published: January 2022

<h1><em>This research is a case study using descriptive qualitative methods with 21 research subjects explanatory essays written by class VIII students. The results showed that (1) there were 447 findings of spelling errors, including the writing of absorption elements (0.06%), word writing (8.27%), use of punctuation marks (18.34%), and use of letters (72, 70%) dominated by capital letters errors (70.69%) in the form of findings of patterns of capital letters errors; (2) there are seven articles that have structural errors, including the structure of the composition which is not coherent, the ambiguous type of the article, and the fact that incomplete of the structure dominates the findings of structural errors and becomes one of the triggers for other errors; (3) the factors causing the error are lack of writing practice, less thoroughness, lack of understanding of students, students' language habits, and lack of student interest in following lessons which are the dominant factors because it exacerbates other factors; (4) preventive action, students choose to learn to use spelling correctly and write explanatory text; the teacher makes direct corrections, emphasizes punishment, the use of spelling guidelines and text characteristics to students; the school, especially the principal, supervises and activates school literacy, and (5) both students, teachers and school principals provide advice to deal with these mistakes, namely the use of fun learning media and creating a comfortable learning atmosphere, habituation to using PUEBI, as well as synergy from related parties.</em></h1>
PENGARUH MODEL VAK (VISUAL, AUDITORI, KINESTETIK) BERBASIS FILM ANIMASI TERHADAP KEMAMPUAN MEMERANKAN CERITA FABEL SISWA SMP
Authors: Nudianti Anise , Sumiyadi Sumiyadi , Nugroho Rudi Adi 
Published: January 2022

<p>Penelitian ini berpijak adanya permasalahan dalam pembelajaran fabel khususnya seni peran. Penelitian ini mengujicobakan model pembelajaran VAK (Visual, Auditorial, Kinestetik) yang melibatkan tiga unsur gaya dalam pembelajarannya, yaitu penglihatan, pendengaran, dan gerakan. Penerapan model VAK ini dibantu dengan menggunakan media film animasi. Adapun tujuan penelitian ini adalah untuk menguji ada tidaknya perbedaan kemampuan bermain peran cerita fabel antara kelas eksperimen yang menggunakan model VAK melalui film animasi dengan kelas kontrol yang menggunakan model konvensional. Sampel penelitian ini adalah 32 peserta didik kelas VII C sebagai kelas eksperimen dan 32 peserta didik kelas VII D sebagai kelas kontrol di SMP Negeri 12 Bandung. Penelitian ini menggunakan pendekatan eksperimen kuasi dengan desain <em>nonequivalent control group</em>. Rata-rata <em>pretest</em> kelas eksperimen adalah 48, sedangkan kelas kontrol 47. Rata-rata <em>posttest</em>kelas eksperimen adalah 85, sedangkan kelas kontrol 55. Hasil uji hipotesis menunjukkan bahwa Ho ditolak dan Ha diterima. Artinya, terdapat perbedaan signifikan kemampuan memerankan tokoh fabel antara sebelum dan sesudah diterapkannya model VAK melalui film animasi. Dengan demikian, model VAK melalui film animasi efektif diterapkan dalam pembelajaran memerankan fabel.</p>
In silico and in vitro analysis of recombinant arginine deiminase from Pseudomonas furukawaii as a potential anticancer enzyme
Authors: Dhankhar Rakhi , Kawatra Anubhuti , Gupta Vatika , Mohanty Aparajita , Gulati Pooja 
Published: January 2022

Abstract
Arginine deiminase (ADI), a promising anticancer enzyme from Mycoplasma hominis, is currently in phase III of clinical trials for the treatment of arginine auxotrophic tumors. However, it has been associated with several drawbacks in terms of low stability at human physiological conditions, high immunogenicity, hypersensitivity and systemic toxicity. In our previous work, Pseudomonas furukawaii was identified as a potent producer of ADI with optimum activity under physiological conditions. In the present study, phylogenetic analysis of microbial ADIs indicated P. furukawaii ADI (PfADI) to be closely related to experimentally characterized ADIs of Pseudomonas sp. with proven anticancer activity. Immunoinformatics analysis was performed indicating lower immunogenicity of PfADI than MhADI (M. hominis ADI) both in terms of number of linear and conformational B cell epitopes and T cell epitope density. Overall antigenicity and allergenicity of PfADI was also lower as compared to MhADI, suggesting the applicability of PfADI as an alternative anticancer biotherapeutic. Hence, in vitro experiments were performed in which the ADI coding arcA gene of P. furukawaii was cloned and expressed in E. coli BL21. Recombinant ADI of P. furukawaii was purified, characterized and its anticancer activity was assessed. The enzyme was stable at human physiological conditions (pH 7 and 37 ⁰C) with Km of 1.90 mM. PfADI was found to effectively inhibit the HepG2 cells with an IC50 value of 0.1950 IU/ml. Therefore, the current in silico and in vitro studies establish PfADI as a potential anticancer drug candidate with improved efficacy and low immunogenicity.
EDChannel: Channel Prediction of Backscatter Communication Network Based on Encoder-Decoder
Authors: Li Dengao , Wen Yongxin , Xu Shuang , Wang Qiang , Bai Ruiqin , Zhao Jumin 
Published: January 2022

Abstract
Backscatter communication networks have attracted much attention due to their small size and low power waste, but their spectrum resources are very limited and are often affected by link bursts. Channel prediction is a method to effectively utilize the spectrum resources and improve communication quality. Most channel prediction methods have failed to consider both spatial and frequency diversity. Meanwhile, there are still deficiencies in the existing channel detection methods in terms of overhead and hardware dependency. For the above reasons, we design a sequence-to-sequence channel prediction scheme. Our scheme is designed with three modules. The channel prediction module uses an encoder-decoder based deep learning model (EDChannel) to predict the sequence of channel indicator measurements. The channel detection module decides whether to perform a channel detection by a trigger that reflects the prediction effect. The channel selection module performs channel selection based on the channel coefficients of the prediction results. We use a commercial reader to collect data in a real environment, and build an EDChannel model based on the deep learning module of Tensorflow and Keras. As a result, we have implemented the channel prediction module and completed the overall channel selection process. The experimental results show that the EDChannel algorithm has higher prediction accuracy than ARIMA, linear regression (Linear), and autoregression (AR). The overall throughput of our scheme is improved by approximately 2.9% and 17.4% over random frequency hopping in both stable and unstable environments.
Treatment of industrial effluent by synthesized Nano-composite ZrCdPbO4 through solar energy
Authors: lohar saroj , Kumawat Adhidesh S. , Chouhan Jeevan Kunwar , Prajapati Dushyant Kumar , Bhardwaj Shipra 
Published: January 2022

Abstract
Water is the most essential natural resource for living beings, animals and plants but unfortunately it is being polluted by various means. Coloured pollutants, mainly dyes contribute maximum to this. Thus an attempt is made to remove such pollutants in an eco friendly manner. Novel nano sized composite material ZrCdPbO4 is synthesized by coprecipitation method, characterized by UV-vis, IR, FESEM, XRD, XPS and EDX analysis methods and is used for removing such pollutants from water. The emphasis of the present work is to use the prepared material as photocatalyst for degradation of various pollutants. Experimental details of degradation of a common industrial effluent, Azure-A dye as role model are discussed. Number of factors are varied to obtain maximum degradation rate through pseudo first order kinetic study. Hydroxyl radicals are found to play important role in cleavage of various bonds of the pollutant and is endorsed by scavenger study. LCMS/MS analysis is carried to rule out the route of the degradation. Final products are ascertained by laboratory tests.
LncRNA HCP5 Promotes ADSC Adipogenic Differentiation via Its Sponging of miR-27a-3p and a Concomitant Increase in PPARγ Expression
Authors: Shi Yao , Chen Hao 
Published: January 2022

Abstract
Current studies have shown that lncRNA plays an essential regulatory role in the physiological metabolism of cells. lncRNA HCP5 promotes proliferation and invasion in tumor cells and regulates differentiation in some stem cells. Our study was designed to determine the effects of HCP5 on the adipogenic differentiation of adipose-derived stem cell (ADSCs) and explore its underlying molecular mechanisms. ADSCs are known for their pluripotent differentiation potential and ready availability, making them promising intermediates for cell-based tissue damage repair. Our data revealed that HCP5 expression was elevated in differentiation-induced ADSCs, and that its overexpression promoted adipogenic differentiation in these cells. Then we predicted and then confirmed the effects of targeted interaction between HCP5 and miR-27a-3p. We also predicted and confirmed that miR-27a-3p demonstrated some binding affinity for PPARγ and then used this information to design a gain-and-loss-of-function experiment to verify that HCP5 regulates ADSCs adipogenic differentiation via its regulation of miR-27a-3p and PPARγ. These experiments showed that HCP5 overexpression promotes adipogenic differentiation in ADSCs, which was impaired by the upregulation of miR-27a-3p. Overexpression of miR-27a-3p inhibited PPARγ expression, and overexpression of HCP5 restored this inhibitory effect. Finally, transfection with PPARγ siRNAs reduced the adipogenic promotion due to HCP5 overexpression in these cells. Taken together our data suggest that the HCP5/miR-27a-3p/PPARγ axis may be a major regulator of adipogenic differentiation in ADSCs, which might be the probable molecular mechanism underlying the effects of HCP5 in these cells.
Application of Risk Scoring System in Intra-operative Cell Salvage Patients: A Retrospective Study Based on Multicenter Data
Authors: Lyu Bin , Liu Xinghui , Chen Daijuan , Chen Meng , Gou Jinhai 
Published: January 2022

Abstract
Background: Intraoperative cell salvage (IOCS) is widely used in cesarean section, and this study applied use of multi-center big data of IOCS in cesarean section to establish a bleeding risk assessment scale for IOCS patients. The purpose of this retrospective study was to explore the safety, health economy, and application guidelines of IOCS in obstetrics.Methods: We included 2621 patients who received IOCS technology during cesarean section in 12 hospitals between January 2012 - January 2020. The patients were divided into two groups, Group A, intraoperative blood loss <1500 ml; Group B, intraoperative blood loss ≥1500 ml. The clinical and imaging data associated with the risk of bleeding in patients taking IOCS were collected, and multivariable logistic regression analysis was conducted to develop a scoring system.Results: All patients who received IOCS in our study had no serious adverse outcomes. Multivariate logistic regression analysis was performed by selecting significant indicators from the univariate analysis and high-risk factors related to bleeding. The variables were maternal age ≥35 years, number of cesarean sections, placental attachment position, and placenta previa, each scored 1 point; placenta accreta, blood pool in the placenta, abnormal retroplacental myometrium, placenta protruding to the anterior uterine wall and continuous disruption of the myometrium, each scored 2 points; and cervical canal invasion, scored 4 points. All were risk factors for intraoperative blood loss volume ≥1500 ml in IOCS patients. A bleeding risk scoring system was constructed according to the above indicators. The area under the curve of the receiver operating characteristic curve (AUC) of the scoring system was 0.837, and a total score of 5 points was identified as the optimal cut-off value, allowing good differentiation of intraoperative massive bleeding in IOCS patients (AUC, 0.837; 95% confidence interval, 0.820–0.854), along with a sensitivity of 81.2% and specificity of 75.3%.Conclusion: IOCS technology is a safe and effective hemostatic measure in obstetric cesarean section. Moreover, the bleeding risk scoring system could better guide the clinical application of IOCS technology. Therefore, strictly mastering the clinical application guidelines of IOCS can save medical resources and reduce the economic burden on patients.
Solar Radio Emission as A Disturbance of Radiomobile Networks
Authors: Muratore Giuliano , Giannini Teresa , Micheli Davide 
Published: January 2022

Abstract
This paper analyses the effects of solar radio emissions in the radiomobile context, for the first time leveraging massive ETSI (European Telecommunications Standards Institute) 3GPP (3rd Generation Partnership Program) MDT (Minimization of Drive Test) radio measures produced by 4G LTE (Long Term Evolution) terminals and by 4G LTE BS (Base Station) cells. A method to study solar noise effects starting from radiomobile 3GPP standard MDT measures is illustrated and correlated with the excellent 10.7 cm (2800 MHz) indicator of solar activity (National Research Council Canada). The effects of solar disturbance on the LTE radio access network (RAN) for mobile services are analysed, and possible countermeasures are presented from the perspective of radiomobile network evolution to 5G and 6G.
DNA Barcoding Provides Insights Into Fish Diversity and Molecular Taxonomy of the Amundsen Sea
Authors: Cao Shuai , Li Yuan , Miao Xing , Zhang Ran , Lin Longshan , Li Hai 
Published: January 2022

Abstract
The Southern Ocean is experiencing complex climate change, and the Amundsen Sea is one of the regions that responds most rapidly to climate change. Due to their role in ecosystems, environmental sensitivity and high endemism, Antarctic demersal fish are a favourable group that can act as an indicator to indicate the response of Antarctic organisms to climate change. However, our knowledge of Antarctic fish fauna is insufficient, with knowledge gaps even in their taxonomy. This situation is greatly influenced by the limitations of traditional taxonomy and thus calls for alternative solutions such as DNA barcoding. In this study, DNA barcoding analyses of 69 fish samples obtained from the Amundsen Sea were conducted using the mitochondrial COI gene. Based on molecular species delimitation results, 13 fish species belonged to two orders, six families, and 12 genera. Both the maximum likelihood and Bayesian inference methods showed that the phylogenetic relationships of Bathydraconidae were paraphyletic, which was consistent with previous phylogenetic research. Our research showed that the COI gene, as a DNA barcode, not only is suitable for the identification of Antarctic fish species but also reflects some phylogenetic characteristics that might provide important evidence and support for studies of Antarctic fish phylogenetic relationships. In summary, our study provides an important reference for fish diversity and taxonomy in the Amundsen Sea, which may further enhance our understanding of the biodiversity, taxonomy and biogeography of fish in this area.
Development of an in-house Quantitative ELISA for the Evaluation of Different Covid-19 Vaccines in Human
Authors: GDOURA MARIEM , Ghaloum Fatma Ben , HAMIDA MERIEM BEN , CHAMSA WAFA , TRIKI HENDA , Bahloul Chokri 
Published: January 2022

Abstract
Purpose: Reliable serological assays are needed to understand the real impact of COVID-19. In order to compare the efficiency of different COVID-19 vaccines used in the National Vaccination Program in Tunisia, we have developed a quantitative in-house ELISA. Methods: The ELISA is based on the ectodomain of the SARS-CoV-2 Spike Baculovirus recombinant protein. We have used a panel of 145 COVID-19 RT-PCR positive serum samples and 116 pre-pandemic serum samples as a negative panel. The validation was carried out by comparison to four commercial techniques (Vidas® SARS-CoV-2 IgG anti-RBD Biomérieux®, Elecsys® Anti-Nucleocapsid of SARS-CoV-2 Roche®, cPass® GenScript® and the quantitative Elecsys® Anti-RBD of SARS-CoV-2, Roche®). For the evaluation of the National Vaccination campaign, we have included 115 recipients of one of the different used vaccines.Results: The qualitative performances of the developed ELISA gave 96% sensitivity, 97.5% specificity and 0.968 accuracy. For the evaluation of the different brand of vaccines in recipients not previously infected with SARS-CoV-2, it seems that mRNA vaccine of Pfizer/BioNTech has shown a higher efficacy compared to inactivated virus vaccines. COVID-19 convalescent individuals have generated poor antibody responses. Nevertheless, when they are vaccinated with any brand of the COVID-19 vaccines, many of them mounted an exponential increase of the induced immune responses, qualified as a “hybrid vigor immunity”.Conclusion: Our developed in-house ELISA seems to be very efficient in evaluating the effectiveness of anti-COVID-19 vaccination. Platforms based on mRNA vaccine are better performing than that based on inactivated virus.
On The Prediction of Landslide Occurrences and Sizesvia Hierarchical Neural Networks
Authors: Aguilera Quinton , Lombardo Luigi , Tanyas Hakan , Lipani Aldo 
Published: January 2022

Abstract
For more than three decades, the scientific community that studies landslides through data-driven models has focused on estimating where landslides occur across a given landscape. This concept is widely known as landslide susceptibility. And, it has seen a vast improvement from old bivariate statistical techniques to modern deep learning routines. Despite all these advancements, no spatially-explicit data-driven model is currently capable of also predicting how large landslides may be once they trigger in a specific study area. In this work, we exploit a model architecture that has already found a number of applications in landslide susceptibility. Specifically, we opt for the use of Neural Network (NN). But, instead of focusing exclusively on where landslides may occur, we extend this paradigm to also spatially predict classes of landslide sizes. As a result, we keep the traditional binary classification paradigm but we make use of it to complement the susceptibility estimates with a crucial information for landslide hazard assessment. We will refer to this model as Hierarchical Neural Network (HNN) throughout the manuscript. To test this analytical protocol, we use the Nepalese area where the Gorkha earthquake induced tens of thousands of landslides in 2014. The results we obtain are quite promising. The component of our HNN that estimates the susceptibility outperforms a binomial Generalized Linear Model (GLM) baseline we used as benchmark. We did this for a GLM represents the most common classifier in the landslide literature. Most importantly, our HNN also suitably performed across the entire procedure. As a result, the landslide-area-class prediction returned not just a single susceptibility map, as per tradition. But, it also produced several informative maps on the expected landslide size classes. Our vision is for administrations to consult these suite of model outputs and maps to better assess the risk to local communities and infrastructure. And, to promote the diffusion of our HNN, we are sharing the data and codes in the supplementary material in the hope that we would stimulate others to replicate similar analyses.
Shock Wave Induced Switchable Phase Transition (Molecular Distortion Type) of Ammonium Sulfate Crystal
Authors: Sivakumar A , Eniya P. , Dhas S.Sahaya Jude , Sivaprakash P. , Kumar Raju Suresh , I.Almansour Abdulrahman , Sundar J.Kalyana , Chakraborty Shubhadip , Arumugam S. , Dhas Martin Britto 
Published: January 2022

Abstract
In the present context, ammonium sulfate (NH4)2SO4 crystal phase stability has been examined at shocked conditions and observed that the title crystal undergoes the reversible crystallographic phase transitions with respect to the number of shock pulses and the observed phase transition sequence is Pnam-Pnam-distorted Pnam- Pnam-Pnam for 0,1,2,3, and 4 shocks, respectively and the observed phase transition sequence is evaluated by X-ray diffraction (XRD), Raman spectroscopy and optical spectroscopy (UV-DRS). Based on the observed analytical experimental results, it is authenticated the occurrence of the reversible phase transition which is caused by the molecular distortions accompanied by the rotational disorder of ammonium and sulfate groups of ions because of the impact of shock waves. This report is the first of its kind regarding the switchable phase transition inclusive of static temperature experiments observed for title crystal.