bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study of Impact of Cloud Computing and Artificial Intelligence on Banking Services, Profitability and Operational Benefits
Authors: Dr. Sunil Joshi Sadhana Tiwari, Shashank Bharadwaj, 
Published: May 2021

Banks have seen a convergence in end-customer banking interactions over the last decade, owing to IT-enabled solutions and services such as Core Banking, Online Banking, Mobile Banking, Wallet, Wallets Kiosk Banking. The evolution of IT in the banking industry supports both banks and their clients. Banks' business models are now centered on delivering consumer joy via IT-enabled solutions and services. Cloud technology allows banks to follow a digital paradigm for providing novel channels, reducing TAT to market new offerings, fulfilling consumer expectations, and adhering to regulatory requirements at a lower cost. In constantly evolving technical paradigms, cloud-based solutions offer a higher value proposition to IT solutions and services. Device administrators can remotely assemble, upload, customize, and execute virtual tools to manage a business solution using cloud infrastructure. Furthermore, cloud IT technology can be scaled up or down at any time based on planned use and specifications without incurring high costs. To assess the impact of cloud computing and artificial intelligence in operational and service advantage Confirmatory factor analysis (CFA) technique is used. The thesis demonstrates how well the measured variables reflect the number of constructs and whether the estimation hypothesis is confirmed or rejected.
Experiences in the Blue Economy Development of Northeast Asia Countries in the Context of Industrial Revolution 4.0 – Implication for Vietnam
Authors: Et al. Dr. Pham Ngoc Tram 
Published: May 2021

In the 21st century, in addition to the growing population and the depletion of land-based mineral and energy resources, the development of coastal economic sectors has become a new global concern. Therefore, all marine countries in the world consider the development and use of marine resources an essential part of their national development strategy. The marine economy gradually stimulates competition among nations. This article is based on the synthesis of documents to learn and analyze experiences of coastal development in some Northeast Asian countries in the context of the Industrial Revolution 4.0. From there, draw reference lessons for Vietnam.
An Efficient Intrusion Detection System Using Improved Bias Based Convolutional Neural Network Classifier
Authors: Pamela Vinitha Eric Mathiyalagan R, 
Published: May 2021

Today’s modern society has faced many challenges due to the rapid digitization and growing number of hackers, which makes the networking-based systems to become a target place for intruders. The attacks may allure the users, and it compromised the whole system and makes the security the biggest challenge. In this regard, the best way to combat the issues is by exploring new ways to defend the network against threats. More recently, Intrusion Detection Systems (IDS) is a key enabling technology in maintaining the novel network security. Indeed, some existing systems utilize Improved Relevance Vector Machine (IVRM) classifier for performing intrusion detection in network-based systems. In this work, feature selection is done by using Gaussian Firefly Algorithm and Improved Relevance Vector Machine (IRVM) based classification is performed according to the selected features. However, for large-scale intrusion dataset, the intrusion detection is not robust; hence, it leads to high attack rates. The proposed system designed an Improved Bias based Convolutional Neural Network (ICNN) for high attack intrusion detection. For embracing high-security factors and enhanced protection, the proposed system performs three phases, such as preprocessing, feature selection, and classification. The first phase employs the KDD dataset and Kalman filtering method followed by feature selection utilizes Inertia Weight based Dragonfly Algorithm (IWDA) and finally identified the intrusion attacks using Improved Bias based Convolutional Neural Network (IBCNN) classifier. In this work, a novel model performed with the KDD dataset. The suggested method evaluated in terms of accuracy, f-measure, recall, and precision for examining performance compared with existing systems.
Developing Learning Media Based Project Board in Electronic Materials to Improve the Analysis Capability and Skills for the Cadets of PIP Semarang
Authors: Et al. Andy Wahyu H 
Published: May 2021

Electronics is one of the most widely used materials on board, but in reality, the cadets still have difficulty in understanding the concepts, solving problems and making electronic circuits. The media used today have a significant risk, such as a short circuit or electric shock. There are several problems that the authors get in this study, they are; how is the learning media for electronic practice used today, how to design an appropriate media for learning electronics practice with project board.
In this study, the method used Research and Development (R&D). It is a research method used to produce certain products, and test the effectiveness of these products. In producing certain products, the researchers used needs analysis. The final results of this study will produce the electronic learning media.
From the results of the learning model design and testing of the Analog Experimenter ASH tool, there are a number of things that can be concluded: The electronic learning media used today is still not effective and efficient because the cadets have to buy the practical materials, while in terms of safety, it is very lacking. The design of instructional media made is more effective, efficient and safer than the methods currently used. This is proven by testing the ASH Analog Experimenter with a multimeter and Oscilloscope.
Evaluation of Student Satisfaction in Using the Learning Management System for Online Learning at XYZ University
Authors: Togar Alam Napitupulu Yulyanty Chandra, 
Published: May 2021

This research is to analyse what factors that influence the student satisfaction with the learning management system and how much influence do these factors have on student satisfaction with the use of the learning management system. This research aim was to find if there is a direct influence from the system quality, information quality, service quality, and perceived ease of use into the user satisfaction and whether there is an indirect influence from System use to the User satisfaction toward learning management system. The analytical method for analyse regression with the estimation of PLS Method, this research took sample of 99 students at XYZ University in Information system online learning, major study for undergraduate students. The results show that the indirect effect through system use are not significant; however the perceived ease of use and system quality turn out significant affecting the student satisfaction. Perceived ease of use is the most high factor for affecting the satisfaction of the students to use Learning Management System(LMS) as the media for online learning.
Beneficios del entrenamiento de fuerza en el medio acuático en mujeres postmenopáusicas: una revisión sistemática
Authors: García Gómez Héctor , García Ukemi Manuel Omar , Salas Guiu Jorge 
Published: May 2021

Antecedentes: Los cambios fisiológicos y psicológicos de la postmenopausia afectan directamente a la calidad de vida de las mujeres. El entrenamiento de fuerza y el entrenamiento en el medio acuático pueden ser una forma eficaz de contrarrestar estos cambios, pero pocos estudios han evaluado estos beneficios combinados en mujeres postmenopáusicas. Surge la necesidad de estudiar si mediante la realización de un programa que reúne ambas características se podrían obtener beneficios en la postmenopausia.
Objetivos: Analizar la literatura científica sobre estudios realizados que incluyan entrenamiento de fuerza en el medio acuático en mujeres postmenopáusicas y comprobar la eficacia en la mejora de los parámetros relacionados con su salud.
Método Se analizaron 19 artículos publicados en revistas científicas, buscados en PubMed, Scopus, Science Direct, Cochrane y Google Académico bajo la búsqueda de “aquatic resistance training” AND “postmenopausal women”. Estos trabajos pasaron el filtro de selección, eliminando duplicados, estudios que no versaran sobre la materia y aquellos anteriores al año 2009. Se incluyeron estudios, de dos a cuatro grupos, y estudios que demostraron estadísticamente la influencia positiva del entrenamiento de fuerza en el medio acuático en la mejora de alguno de los parámetros evaluados.
Resultados: El entrenamiento de fuerza en el medio acuático aporta beneficios a las mujeres postmenopáusicas en la calidad de vida, fuerza muscular, composición corporal, capacidad funcional, equilibrio, presión arterial, densidad mineral ósea y artrosis.
Conclusiones: El entrenamiento de fuerza en el medio acuático es efectivo para mejorar los cambios que sufren las mujeres postmenopáusicas.
An Investigation of Mechanistic Foam Modeling for Optimum Field Development of CO2 Foam EOR Application
Authors: Izadi Mohammad , Nguyen Phuc H. , Fleifel Hazem , Maestre Doris Ortiz , Kam Seung I. 
Published: May 2021

SummaryWhile there are a number of mechanistic foam models available in the literature, it still is not clear how such models can be used to guide actual field development planning in enhanced oil recovery (EOR) applications. This study aims to develop the framework to determine the optimum injection condition during foam EOR processes by using a mechanistic foam model. The end product of this study is presented in a graphical manner, based on the sweep-efficiency contours (from reservoir simulations) and the reduction in gas mobility (from mechanistic modeling of foams with bubble population balance).The main outcome of this study can be summarized as follows: First, compared to gas/water injection with no foams, injection of foams can improve cumulative oil recovery and sweep efficiency significantly. Such a tendency is observed consistently in a range of total injection rates tested (low, intermediate, and high total injection rates Qt). Second, the sweep efficiency is more sensitive to the injection foam quality fg for dry foams, compared to wet foams. This proves how important bubble-population-balance modeling is to predict gas mobility reduction as a function of Qt and fg. Third, the graphical approach demonstrates how to determine the optimum injection condition and how such an optimum condition changes at different field operating conditions and limitations (i.e., communication through shale layers, limited carbon dioxide (CO2) supply, cost advantage of CO2 compared to surfactant chemicals, etc.). For example, the scenario with noncommunicating shale layers predicts the maximum sweep of 49% at fg = 55% at high Qt, while the scenarios with communicating shale layers (with 0.1-md permeability) predicts the maximum sweep of only 40% at fg = 70% at the same Qt. The use of this graphical method for economic and business decisions is also shown, as an example, to prove the versatility and robustness of this new technique.
Three-body problem - from Newton to supercomputer plus machine learning
Authors: LIAO Shijun , Li Xiaoming , Yang Yu 
Published: May 2021

Abstract
The famous three-body problem can be traced back to Newton in 1687, but quite few families of periodic orbits were found in 300 years thereafter. In this paper, we propose an effective approach and a roadmap to numerically gain planar periodic orbits of three-body systems with arbitrary masses by means of machine learning based on an artificial neural network (ANN) model. Given any a known periodic orbit as a starting point, this approach can provide more and more periodic orbits (of the same family name) with variable masses, while the mass domain having periodic orbits becomes larger and larger, and the ANN model becomes wiser and wiser. Finally, we have an ANN model trained by means of all obtained periodic orbits of the same family, which provides a convenient way to give accurate enough predictions of periodic orbits with arbitrary masses for physicists and astronomers. It suggests that the high-performance computer and artificial intelligence (including machine learning) should be the key to gain periodic orbits of the famous three-body problem.
Ceramide Levels and COVID-19 Respiratory Distress, a Causal Relationship
Authors: Khodadoust Mehran 
Published: May 2021

Abstract
A causal relationship between plasma ceramide concentration and respiratory distress symptoms in COVID-19 patients is presented. In this study, plasma samples of 52 individuals infected with COVID-19 were utilized in a lipidomic analysis. Lipids belonging to the ceramide class exhibited a 400-fold increase in total plasma concentration in infected patients. Further analysis led to the demonstration of concentration dependency for severe COVID-19 respiratory symptoms in a subclass of ceramides. The subclasses Cer(d18:0/24:1), Cer(d18:1/24:1), and Cer(d18:1/22:0) were shown to be increased by 48-, 40-, and 33-fold, respectively, in infected plasma samples and to 116-, 91- and 50-fold, respectively, in plasma samples with respiratory distress. Hence, monitoring plasma ceramide concentration, targeting ceramide synthesis, its salvage and its regulatory mechanisms are validated approaches towards enhancing survival from COVID-19 respiratory distress.
Stereotactic body radiation therapy versus surgery for patients with early-stage non–small cell lung cancer( ≤ 5cm): A systematic review and meta-analysis
Authors: Zhou Yueling , Wen Ping , Yu Yue , Yang Zhenyi , Luo Yixuan , Wu Chunli 
Published: May 2021

Abstract
Background: Stereotactic body radiation therapy (SBRT) is considered as the preferred treatment method for inoperable early-stage non-small cell lung cancer (NSCLC). However, there is still a debate on the efficacy of SBRT and surgery. This meta-analysis aimed to compare survival outcomes of SBRT and surgery for early-stage NSCLC (≤5cm).Methods: A systematic review and meta-analysis were performed to compare survival outcomes of surgery and SBRT. And the pooled analysis was conducted with STATA 14.0 software. Results: Thirty-nine comparative studies were included for systematic review and twenty-eight of which for quantitative analysis. Compared with SBRT, overall survival (OS) was superior after surgical resection, included lobectomy, sublobar resection, video-assisted thoracoscopic surgery, and thoracotomy, for patients with early-stage NSCLC (≤5cm). And the results of subgroup analysis remained the support of surgery except for the OS of operable matched cohorts and the one matched cohort of age ≥75. However, the HR of OS showed a reduction from patients with unspecific age, ≥65 to ≥75 years old and histopathologically confirmed NSCLC to clinical NSCLC. Although cancer-specific survival and local control was superior after surgery, the recurrence rate of tumors, locoregional control, distant control, and regional control of matched patients demonstrated no significantly different outcomes between SBRT and surgery for early-stage NSCLC.Conclusions: Results show that surgery has superior OS, CSS and local control compared to SBRT for early-stage NSCLC. There is still necessary to explore the survival difference between SBRT and surgery for patients with different characteristics by large-sample, long-term follow-up randomized clinical studies.
Erb-(IL10)2 Induces Abscopal Antitumor Effects of Radiotherapy through the Activation and Recruitment of Lymph node CD8+ T Cells
Authors: xue jiao , Qi Ziwei , Yao Yimin , Zhao Qi , Zhang Zheng , Fu Shilong , Zhou Liyao , Zhu Jiaxing , Liu Zhenhua , Xu Haiyan , Huang Yuhui , Qin Songbing 
Published: May 2021

Abstract
Background: Although radiotherapy (RT) has been widely used in cancer treatment, it provides limited benefits in patients with metastatic cancers due to rare abscopal antitumor effects. The recent progression in cancer immunotherapy provides a potential new strategy to boost abscopal antitumor effects of RT.Methods: we fused Interleukin 10 (IL10) dimer onto an anti-epidermal growth factor receptor antibody Cetuximab (Erbitux) to form a new bispecific protein Erb-(IL10)2. The antitumor effect and biological activity of Erb-(IL10)2 was measured in B16-EGFR-OVA tumor model. In vivo cell depletion and flow cytometry analysis were used to access the mechanism of antitumor effects.Results: Erb-(IL10)2 treatment alone showed modest tumor growth inhibition, while local single dose RT (10 Gy) retarded irradiated tumor growth without affecting on the growth of nonirradiated tumors. Notably, the combination therapy of RT and Erb-(IL10)2 not only additively inhibited irradiated tumor growth, but also induced abscopal antitumor responses. In vivo depletion of CD8+ T cells abrogated the combinational antitumor effects, while blockade of lymphocyte trafficking by FTY720 treatment abolished the abscopal antitumor responses without affecting the antitumor effects on the irradiated tumor sites. Conclusion: This study provides evidences for the radio-sensitivity role of Erb-(IL10)2 in B16-EGFR-OVA tumor model. Our findings suggest a novel strategy to elicit abscopal antitumor effects of RT through combining tumor-targeted therapy of IL10.
Did self‐reported tobacco smoking, alcohol consumption, and physical activity change during the COVID-19 restrictions in Germany in spring 2020? Findings from a population survey (the DEBRA study)
Authors: Klosterhalfen Stephanie , Kastaun Sabrina , Kotz Daniel 
Published: May 2021

Abstract
Background

Broad nationwide restrictions of social life and contacts were implemented in Germany on March 22nd, 2020, to reduce the spread of the severe acute respiratory syndrome coronavirus type 2 (SARS‑CoV‑2). It is unclear how these restrictions affected peoples’ health behaviour.
Objective

To: i) examine changes in self-reported health behaviour of the German population regarding tobacco smoking, alcohol consumption, and physical activity during the restrictions compared with the time prior to these restrictions; ii) explore associations between potential changes and socioeconomic and sociodemographic characteristics.
Methods

We used data from two waves (June-August 2020) of the German Study on Tobacco Use (DEBRA): a cross-sectional, representative, face-to‐face household survey in people aged ≥ 14 years (N = 4078). Associations between socioeconomic and sociodemographic characteristics and changes in each health behaviour were analysed using multinomial logistic regression analyses (categories of the dependent variable: increase, no change, decrease).
Results

People reported changes in their health behaviour: smoking increase = 24.0% (95% confidence interval (CI) = 21.5–26.7), decrease = 12.2% (95%CI = 10.4–14.4); alcohol consumption increase = 12.9% (95%CI = 11.7–14.1), decrease = 19.9% (95%CI = 18.4–21.3); physical activity increase = 18.5% (95%CI = 17.3–19.7); decrease = 29.4% (95%CI = 28.0–31.0). People with a lower level of education and younger age were more likely to report a harmful change in health behaviour.
Conclusion

The majority of people in Germany did not change their health behaviour during the 2020 corona restrictions. Among those who changed, relatively more increased their smoking and decreased their alcohol consumption and physical activity. Public health interventions in this context should particularly target people with lower socioeconomic status and younger age e.g., by offering more online courses.
Low dose allopurinol is associated with modest but significant improvements in glycemic control (GC) and glycemic variability (GV) in patients with type 2 diabetes mellitus: A cross-sectional study
Authors: Alem Manal M. 
Published: May 2021

Abstract
BackgroundType 2 diabetes mellitus (DM), gout, and asymptomatic hyperuricemia are inter-connected pathologies. Glycemic control (GC), involving a range of treatments is central to the management of DM, whereas allopurinol continues to be the most widely recommended urate lowering agent. Allopurinol has been shown to possess anti-oxidant properties: this study explores the favorable potential effect of allopurinol on glucose homeostasis.MethodsThis is an observational study with a cross-sectional design performed on patients with type 2 diabetes mellitus (DM), recruited from centers in Saudi Arabia. Patients were divided into two groups; allopurinol users; (for gout or asymptomatic hyperuricemia) and matching control patients. Patient demographics, co-morbid conditions, biochemical tests, and pharmacological treatments were extracted from electronic records to investigate the effect of allopurinol therapy on Glycemic control (GC), as assessed by glycated haemoglobin (HbA1c as primary endpoint), and on parameters of glycaemic variability (GV) (secondary endpoints).ResultsA total of 194 patients with type 2 DM were recruited (97 in both groups). The two groups were matched for age and sex: mean age: 59.4 years, 73% males in the allopurinol group vs 59.6 years, 73% males in the control group. Allopurinol, daily dose 100 mg, was prescribed for 77% of the patients, with median duration of 39.5 months treatment. HbA1c values were; 6.90% (6.20, 7.80) in the allopurinol group vs 7.30% (6.60, 8.40) in the control group (P=0.010). Parameters of GV were calculated from 3 consecutive fasting blood sugar (FBS) readings: variability independent of the mean (VIM) was 0.140 in the allopurinol group vs 0.987 in the control group (P<0.001).ConclusionConcomitant low-dose allopurinol therapy in patients with type 2 DM was associated with modest but significant improvements in GC and GV.
Physiological Effects of Wearing N95 Respirator on Medical Staff During Prolong Work Hours in Covid-19 Departments
Authors: shechtman liran , Ben-Haim Gal , Ben-Zvi Ilan , steel Laurence , Ironi Avinoah , Huszti Ella , Chatterji Sumit , levy liran 
Published: May 2021

Abstract
Background

Since the emergence of coronavirus disease, health care professionals in high-risk environments are mandated to wear N95 respirators for prolonged periods. The effect of this prolonged use on cardio-respiratory variables and gas-exchange is poorly defined. The objective of the current study was to determine gas exchange abnormalities and physiological changes among healthcare workers during a 4-hour emergency department (ED) shift while wearing the N95 respirator.
Methods

This was a single-center prospective observational study that consisted of medical staff working at the Sheba Medical Center ED. Physiological effects and gas exchange variables were obtained under normal breathing conditions and after 4-hour shifts while continuously wearing an N95 respirator. Comparisons of paired measurements were performed using a non-parametric Wilcoxon matched-pairs signed-rank test.
Results

Forty-one subjects were included in the study. Prolonged N95 respirator use was associated with a significant decline in plasma pH [7.35mmHg vs. 7.34mmHg, P = 0.02], PvO2 [23.2 mmHg vs. 18.6 mmHg, P < 0.001] and a concurrent increase in EtCO2 [32.5mmHg vs. 38.5mmHg, p < 0.0001]. PvCO2 and bicarbonate levels did not differ. No significant change was observed for heart rate or oxygen saturation.
Conclusion

Using an N95 respirator for prolonged periods by healthcare professionals may provoke changes in gas exchange. The clinical significance of these changes in terms of symptoms or longer-term health status is unknown and remains to be determined.