bluuebunny/crossref_metadata_2025_split huggingface dataset:
MENGANALISA MODEL PEMBELAJARAN DARING KONSEP GETARAN DAN GELOMBANG UNTUK SISWA SMK DI MASA PANDEMI COVID-19
Authors: Rahmadi Agung 
Published: November 2021

The COVID-19 pandemic that has hit the world has forced governments to take various measures to suppress the transmission of the virus. One of the efforts made by the government in the education sector is learning that is carried out without face to face or done online. This online learning model is a policy issued by the government for the sustainability of learning at all levels of education. SMK as an educational institution that creates work-ready graduates so that it demands a learning model that is able to develop the concept of student skills. In physics learning, especially related to vibrations and waves which are still considered difficult for students. This study aims to analyze the online learning model of the concept of vibration and waves in vocational students during the Covid 19 pandemic. This study uses a qualitative descriptive with the type of library research, where data is collected based on the results of a literature review such as books, journals, magazines, and articles. The results of the study show that the online learning model that is applied still has various kinds of obstacles in the process, especially on vibration and wave material for vocational students who need a learning media to be able to hone their skills.

Key word : Covid 19 Pandemic, e-learning model, SMK
Alpha 1 Antitrypsin is an Inhibitor of the SARS-CoV-2–Priming Protease TMPRSS2
Authors: Azouz Nurit P , Klingler Andrea , Callahan Victoria , Akhrymuk Ivan , Elez Katarina , Raich Lluís , Henry Brandon , Benoit Justin , Benoit Stefanie , Noé Frank , Kehn-Hall Kylene , Rothenberg Marc 
Published: November 2021

Background: Host proteases have been suggested to be crucial for dissemination of MERS, SARS-CoV, and SARS-CoV-2 coronaviruses, but the relative contribution of membrane versus intracellular proteases remains controversial. Transmembrane serine protease 2 (TMPRSS2) is regarded as one of the main proteases implicated in the coronavirus S protein priming, an important step for binding of the S protein to the angiotensin-converting enzyme 2 (ACE2) receptor before cell entry.
Methods: We developed a cell-based assay to identify TMPRSS2 inhibitors. Inhibitory activity was established in SARS-CoV-2 viral load systems.
Results: We identified the human extracellular serine protease inhibitor (serpin) alpha 1 antitrypsin (A1AT) as a novel TMPRSS2 inhibitor. Structural modeling revealed that A1AT docked to an extracellular domain of TMPRSS2 in a conformation that is suitable for catalysis, resembling similar serine protease inhibitor complexes. Inhibitory activity of A1AT was established in a SARS-CoV-2 viral load system. Notably, plasma A1AT levels were associated with COVID-19 disease severity.
Conclusions: Our data support the key role of extracellular serine proteases in SARS CoV-2 infections and indicate that treatment with serpins, particularly the FDA-approved drug A1AT, may be effective in limiting SARS-CoV-2 dissemination by affecting the surface of the host cells.
Sentiment Analysis Towards Kartu Prakerja Using Text Mining with Support Vector Machine and Radial Basis Function Kernel
Authors: Ardhani Belindha Ayu , Chamidah Nur , Saifudin Toha 
Published: November 2021

Background: The introduction of Kartu Prakerja (Pre-employment Card) Programme, henceforth KPP, which was claimed to have launched in order to improve the quality of workforce, spurred controversy among members of the public. The discussion covered the amount of budget, the training materials and the operations brought out various reactions. Opinions could be largely divided into groups: the positive and the negative sentiments.Objective: This research aims to propose an automated sentiment analysis that focuses on KPP. The findings are expected to be useful in evaluating the services and facilities provided.Methods: In the sentiment analysis, Support Vector Machine (SVM) in text mining was used with Radial Basis Function (RBF) kernel. The data consisted of 500 tweets from July to October 2020, which were divided into two sets: 80% data for training and 20% data for testing with five-fold cross validation.Results: The results of descriptive analysis show that from the total 500 tweets, 60% were negative sentiments and 40% were positive sentiments. The classification in the testing data show that the average accuracy, sensitivity, specificity, negative sentiment prediction and positive sentiment prediction values were 85.20%; 91.68%; 75.75%; 85.03%; and 86.04%, respectively.Conclusion: The classification results show that SVM with RBF kernel performs well in the opinion classification. This method can be used to understand similar sentiment analysis in the future. In KPP case, the findings can inform the stakeholders to improve the programmes in the future. Keywords: Kartu Prakerja, Sentiment Analysis, Support Vector Machine, Text Mining, Radial Basis Function
A Randomized Open Clinical Study of the Atherosclerosis Treatment Information Video Effect on Adherence to Long-Term Therapy in Patients with Cardiovascular Diseases
Authors: Bulaeva Yu. V. , Naumova E. A. , Semenova O. N. , Kanaeva T. V. , Popov K. A. , Tyapayeva А. R. 
Published: November 2021

Aim. Study the effect of a study video, which was created by researchers and devoted to the atherosclerosis development and the effect of statin therapy on atherosclerotic plaque, on adherence to long-term therapy in patients with high or very high risk of cardiovascular complications.Material and methods. 120 patients admitted to hospital with cardiovascular diseases were included in the study. Patients were randomized into 2 groups: in the main group (n=60), the information video edited by the researchers was shown to patients on the eve of discharge, in addition to a printed brochure on lifestyle and diet modification, and in the control group (n=60), patients were given only a standard brochure. The motivating video shows the damage to the cardiovascular system by the atherosclerotic process and the beneficial effect on the body of constant intake of statins. After 1 and 3 months after discharge from the hospital, telephone calls were made, after which the patients had to visit the center for an objective examination by a researcher and control of laboratory parameters. After 1 month, 110 patients visited the center, after 3 months, 98 respondents visited the center.Results. The group with the information video demonstration noted more frequent adherence to medical recommendations compared to the control: after 1 month, 52 (96%) patients continued treatment versus 48 (86%) patients, 3 months after discharge 48 (96%) patients continued treatment versus 38 (79%) patients (p<0.05). After 1 month, 38 (70%) patients in the intervention group continued taking statins versus 29 (43%) respondents in the control group (p<0.05), 3 months after discharge, 40 (80%) patients in the intervention group continued to take statins versus 33 (69%) control patients (p<0.09).Conclusion. Demonstration of a motivating video about the effect of statins on the atherosclerosis course increases patient adherence to medicinal therapy, including adherence to statins.
Safety and Effectiveness of Pharmacologic Conversion of Atrial Fibrillation and Flutter: Results of Multicenter Trial. Part II: Assessment of Safety
Authors: Mironov N. Yu. , Yuricheva Yu. A. , Vlodzyanovskiy V. V. , Sokolov S. F. , Dzaurova Kh. M. , Golitsyn S. P. , Shubik Yu. V. , Berman M. V. , Medvedev M. M. , Rivin A. E. , Parkhomchuk D. S. , Barybin A. E. , Balandin D. А. , Batalov R. E. , Terekhov D. V. , Evstifeev I. V. , Kildeev I. R. , Pyataeva O. V. , Zenin S. A. 
Published: November 2021

Aim.We aimed to assess safety and effectiveness of class III antiarrhythmic drug Refralon for conversion of atrial fibrillation (AFib) and flutter (AFl) in post-registration trial and to compare data of primary center (National medical research center in cardiology) with data of other hospitals.Material and Methods. We performed retrospective cohort study in 727 patients (451 enrolled in primary center and 276 enrolled in other hospitals) admitted between June 24, 2014 and June 24, 2019. Refralon was administered for conversion of AFib and AFl in intense care units in escalating doses (10-30 micrograms/kg) intravenously.Results.Conversion of AFib and AFl into sinus rhythm was achieved in 53,6% after administration of 10 mcg/kg dose, in 73% after administration of 20 mcg/kg dose and in 91,6% after administration of Refralon in dose up to 30 mcg/kg. No mortality and no major adverse cardiac events registered in our study. Asystole >3.0 sec observed in 5% (35 of 727) of patients): in 5% (24 of 451) of patients enrolled in primary center and in 4% (11 of 276) of patients enrolled in other hospitals; 95% confidence interval (CI) [-0.09; 0.113]. Asystole> 5.0 s observed in 1.7% of patients who further required non-urgent implantation of a permanent pacemaker due to manifestations of sinus node dysfunction. Cardiac conduction disturbances (exclusively sinus bradycardia) were registered in 7% (53 of 727) patients: in 8% (37 of 451) of patients enrolled in primary center and in 6% (17 of 276) of patients enrolled in other hospitals; 95% CI: [-0.1; 0.15]. Only 0.14% of patients had symptomatic sinus bradycardia that resolved after atropine injection. Ventricular arrhythmias (exclusively Torsade de pointes tachycardia in excessive QT interval prolongation) were registered in 1.7% (12 of 727) patients: in 2% (9 of 451) of patients in primary center and in 1% (3 of 276) of patients of other hospitals; 95% CI: [-0.06; 0.08]. QTc interval prolongation to values >500 ms documented in 19% (138 of 727) of patients: in 21% (95 of 451) of patients in primary center and in 16% (43 of 276) of patients in other hospitals; 95% CI: [-0.13; 0.24].Conclusion:In post-registration multicenter trial Refralon demonstrated good safety profile in conversion of AFib and AFl. Potential risk of TdP tachycardia mandates precautions with the use of the drug. In other hospitals Refralon did not demonstrate lower safety than in primary medical center.
Environmental magnetism evidence for longshore drift distribution of Fe-bearing phases: An example from the Brazilian southeastern coastal region
Authors: Silveira Vitor E.P. , dos Santos Natália B. , Franco Daniel R. , la Terra Emanuele F. , Feinberg Joshua M. , Scorzelli R.B. , Fontes Magda B. , Bertolino Luiz C. , Cagliari Joice , de Souza Marcelo K. , Hartmann Gelvam A. 
Published: November 2021

ABSTRACT
The accumulation of heavy minerals along a part of the southeastern Brazilian coast (northern coast of Rio de Janeiro State, Brazil) provides insight into sedimentary provenance and transport by longshore drift. In particular, recent work has focused on heavy minerals as tracers to determine sedimentary sources and transport pathways, indicating a mineral distribution according to the northward and southward coastal transport cells. There is also evidence of heavy-mineral transport by the Paraíba do Sul River. However, research has not been done in this area on the opaque fraction (iron oxides and oxyhydroxides), which are good tracers for provenance and distribution processes. Here we intend to: 1) characterize the spatial variation of the magnetic properties of heavy-mineral contents throughout a coastal area of the Itabapoana and Paraíba do Sul River mouths (state of Rio de Janeiro), 2) evaluate the contribution of coastal dynamics on the mineral distribution along this coastal area, 3) provide contributions on the provenance of iron-bearing minerals. Results indicate that a bimodal pattern was observed for the magnetic remanence of magnetite and hematite near the Paraíba do Sul River. For the northernmost section, goethite exhibits a gradual increase in concentration towards the central part of the study area. Additionally, higher heavy-mineral content is observed at the northern coastal section, which may be related to coastal morphology, which is exposed to high-energy beach processes. It is possible to verify three sampling groups in accordance with their magnetic properties: 1) the “southernmost” and 2) the “northernmost” groups, suggesting a mineral provenance related to the Paraíba do Sul and Itabapoana rivers, respectively, as possible major sources, and 3) another at the intermediate section of the area, possibly linked to the erosion of the Barreiras Formation bluffs. Results also show a correspondence between the variability of magnetic parameters and the main directions of the coastal transport cells.
Lithology and reservoir properties of the Delaware Mountain Group of the Delaware Basin and implications for saltwater disposal and induced seismicity
Authors: Smye Katie , Banerji D. Amy , Eastwood Ray , McDaid Guin , Hennings Peter 
Published: November 2021

ABSTRACTDeepwater siliciclastic deposits of the Delaware Mountain Group (DMG) in the Delaware Basin (DB) are the primary interval for disposal of hydraulic fracturing flowback and produced water from unconventional oil production. Understanding the storage capacity of the DMG is critical in mitigating potential risks such as induced seismicity, water encroachment on production, and drilling hazards, particularly with likely development scenarios and expected volumes of produced water. Here we present a basin-wide geologic characterization of the DMG of the Delaware Basin. The stratigraphic architecture, lithology, and fluid-flow properties including porosity, permeability, amalgamation ratios, and pore volumes, are interpreted and mapped. Lithologies are predicted using gamma-ray and resistivity log responses calibrated to basinal DMG cores and outcrop models. Sandstones exhibit the highest porosity and permeability, and sand depocenters migrate clockwise and prograde basinward throughout Guadalupian time. Permeability is highest at the top of the Cherry and Bell Canyon formations of the DMG, reaching tens to hundreds of millidarcies in porous sandstones. Porous and permeable sandstones are fully amalgamated at the bed scale, but at the channel scale, most sandstones are separated by low-permeability siltstones or carbonates where net sandstone is less than 30%. This geologic characterization can be used to assess the regional storage capacity of the DMG and as input for dynamic fluid-flow models to address pore-pressure evolution, zonal containment, and induced seismicity.
Knowledge and treatment-seeking behavior among malaria suspected patients in two hospitals of district Malakand
Authors: Khan Wali , shah Syed Ali , Tahir Muhammad , Ullah Zakir , Ullah Nesar , Rahman Shams Ur 
Published: November 2021

Abstract
BackgroundMalaria remains a significant public health problem over the last two decades in Pakistan. to prevent malaria infection and develop malaria-free zones, understanding the knowledge, treatment-seeking behavior, and preventive measures toward the malaria infection of the inhabitant are necessary. This study is designed to assess the knowledge, malaria preventive measures, treatment-seeking behaviors, and socio-economic profiles, among suspected malaria patients in district Malakand, Pakistan.MethodsCurrent research was a hospital-based cross-sectional study, in which patients attending DHQ hospital Batkhela and THQ hospital Dargai were recruited. A pre-tested semi-structured questionnaire was used to collect demographic characteristics, knowledge, and treatment-seeking behavior of the patients for malaria infection. Data were analyzed using SPSS version 20.ResultsA total of 1100 malaria suspected individuals were interviewed. The respondent’s ages ranged from 3-80 years, with a mean of 19.5 years. Participation of Males was more than female, 54.3% and 45.6% respectively. Participants belonging to education departments were more participated in the survey (55%) than others, while most of the individuals were from rural areas (78.1%), and the number of individuals >8 is higher than below <8 members. The majority of the respondents (76.2%) were voted to sleep uncovered than covered (23.7%). Most of the individuals (83.36%) were of the view to use allopathic treatments after getting malaria while only 16.63% were used homeopathy, and financial issues were reported as the major reason for the delay in treatment. Regarding treatment time after getting malaria, 68.8% were received within a week and, 31.3% were within 24 hours. Most of the infected individuals (87.9%) were known that mosquitoes as the causing source of malaria infection, and can be controlled by eliminating breeding grounds, using mosquito repellents and bed net 86%, 7.2%, and 6.6% respectively. ConclusionsMalakand is one of the malaria-endemic regions of Pakistan. The present study highlighted that the majority of the respondents have good knowledge about malaria infection, mode of transmission of the plasmodium parasite, and preventive measures. Further strategies are required for the control of malaria infection.
CNN-Based Flow Control Device Modelling On Aerodynamic Airfoils
Authors: Portal-Porras Koldo , Fernandez-Gamiz Unai , Zulueta Ekaitz , Ballesteros-Coll Alejandro , Zulueta Asier 
Published: November 2021

Abstract
Wind energy has become an important source of electricity generation, with the aim of achieving a cleaner and more sustainable energy model. However, wind turbine performance improvement is required to compete with conventional energy resources. To achieve this improvement, flow control devices are implemented on airfoils. Computational Fluid Dynamics (CFD) simulations are the most popular method for analyzing this kind of devices, but in recent years, with the growth of Artificial Intelligence, predicting flow characteristics using neural networks is becoming increasingly popular. In this work, 158 different CFD simulations of a DU91W(2)250 airfoil are conducted, with two different flow control devices, rotating microtabs and Gurney flaps, added on its Trailing Edge (TE). These flow control devices are implemented by using the cell-set meshing technique. These simulations are used to train and test a Convolutional Neural Network (CNN) for velocity and pressure field prediction and another CNN for aerodynamic coefficient prediction. The results show that the proposed CNN for field prediction is able to accurately predict the main characteristics of the flow around the flow control device, showing very slight errors. Regarding the aerodynamic coefficients, the proposed CNN is also capable to predict them reliably, being able to properly predict both the trend and the values. In comparison with CFD simulations, the use of the CNNs reduces the computational time in four orders of magnitude.
Characterization of the Chemical Components of the Extracted Carduus Pycnocephalus L, and Assessment of Its Potential Novel Antioxidant, Antibacterial, and Anticancer Activities
Authors: Hayyany Luay El , El‐Halawany El‐Sayed , Soliman Hoda , El-Amier Yasser 
Published: November 2021

Abstract
Carduus pycnocephalus L, which is related to the Astraceae family, was well-known as a privileged medicinal plant that has innumerable respected biological potency. The current research aims to identify the chemical constitutes of the essential oils of the extracted C. pycnocephalus by Gas Chromatography-Mass Spectroscopic analysis (GC-MS) and to assess the biological profiles of the plant and its botanical ingredients as a precise antioxidant, and anticancer, as well as, antimicrobial agents. The extraction process of the medicinal plant by methanol provided a possibility to extract and identify the polar chemical constitutes that have the most effective categories of components. The DPPH antioxidant potency of the botanical ingredients of the plant indicated that the flower extract is the most potent with IC50 = 30.69 mg/L followed by leaves (IC50= 32.78 mg/L), stem (IC50= 41.31 mg/L), and root (IC50= 46.84 mg/L). The antibacterial activities of the root, stem, leaf, and flower extracts of C. pycnocephalus exhibited remarkable potency to kill or inhibit the growth of the bacterial species. Leaf, and flower extracts revealed the most potent activities than the antibiotic standards against E. coli, S. typhimurium, and B. cereus species with inhibition zones ranged from 20-26 mm. Also, the extracted C. pycnocephalus revealed a moderate cytotoxic effect against hepatocellular carcinoma (HepG2) tumor cell line using MTT assay with IC50= 46.2 µg/mL. The experimental interpretations inveterate the potential of C. pycnocephalus extract indicated its biological impacts as antioxidant, antibacterial, and moderate cytotoxic agents that provided the ease of using it in cancer therapy.
Prognostic impact of advanced lung cancer inflammation index (ALI) on patients with adenocarcinoma of esophagogastric junction (AEG) after radical resection
Authors: Liao Qianchao , Yang Zifeng , Hu Xu , Zheng Chengbin , Feng Huolun , Deng Zhenru , Zheng Jiabin , Wang Junjiang , Hu Weixian , Li Yong 
Published: November 2021

Abstract
Background
To evaluate the prognostic impact of the advanced lung cancer index (ALI) in patients with the adenocarcinoma of esophagogastric junction (AEG) after radical resection.
Methods
The data of patients with AEG after radical resection at Guangdong Provincial People’s Hospital from January 2008 to December 2018 were retrieved. The cutoff value of ALI was determined and the prognostic impact of clinicopathological factors and ALI were analyzed. A nomogram based on the independent prognostic factors for overall survival was then built.
Results
A total of 147 patients were eligible and based on a cutoff of ALI 43.1, 90 (61.2%) and 57 (38.8%) patients were classified in a low- (ALI༜43.1) and high-ALI (ALI༞43.1) group. Multivariate Cox proportional hazard analysis showed that low-ALI was associated with poor overall survival (OS) (p༜0.001, HR 2.541, 95%CI 1.408-4.410) and disease-free survival (DFS) (p=0.021, HR 1.789, 95%CI 1.020-2.674). In subgroup analysis, low-ALI was independent predictor for OS (p=0.001, HR 2.628, 95%CI 1.467-4.707) in stage III/IVA AEG patients. A nomogram for OS estimation was constructed and the C-index was 0.699 (95%CI 0.636-0.762) and the calibration plots showed satisfactory consistency between actual observation and nomogram-predicted OS probabilities. Further, satisfactory predictive accuracy for 1-, 2-, and 3-year OS rates with an area under the curve of 0.736, 0.712 and 0.697, respectively, was observed.
Conclusions
ALI was an independent prognostic factor for AEG patients after radical resection, and demonstrated promising ability for risk stratification of AEG, especially in advanced-stage disease.