bluuebunny/crossref_metadata_2025 huggingface dataset:
Monitoring the Deformation of the Western part of the Nile Delta, Egypt Using Sentinel-1A and Seismicity Data
Authors:   National Research Institute of Astronomy and Geophysics, Helwan, Egypt, Etman Mahmoud , Mohamed Abdelmonem ,   National Research Institute of Astronomy and Geophysics, Helwan, Egypt, Ayyad Haitham ,   Geology Department, Faculty of Science, Al-Azhar University, Nasr City, Cairo, Egypt, Abu-Bakr Mustafa ,   Geology Department, Faculty of Science, Al-Azhar University, Nasr City, Cairo, Egypt
Published: October 2022

The Egyptian Nile Delta is one of the world's most vital regions owing to its great agricultural, industrial, and economic value. Almost half of Egypt's population resides in this region, which has experienced significant land subsidence during the past decade. The present study evaluates the land deformation rate based on Sentinel-1A C-band synthetic aperture radar imagery on the western part of the Nile Delta. Due to the impact of the earthquake event in crete at magnitude of approximately 6.2 Mw on 19 October 2021, 6 scenes were selected to know the differential interferogram and vertical deformations. In our case study, Sentinel Application Platform processing techniques are applied to 6 Sentinel-1A images on 10 September, 4 October 2021, 13-25 October 2021 and 04-21 November 2021 before and after the occurrence of the earthquake, respectively. Our results show that some places in the western part of Nile Delta region experienced low–medium ground movement. To mitigate the seismic and kinetic effects in the western part of Delta, the construction of large factories near residential areas is discouraged. Moreover, urban expansion should be managed in these regions, and excessive groundwater extraction should be avoided in the arid regions near the western part of Nile delta.
Interpretation of 2D Seismic Data of Shurau and Sheikh Alas Formations in Ismail Area, Northern Iraq
Authors:   Department of Geology, College of Science, University of Baghdad, Baghdad, Iraq, Al-Dulaimy Ammar , Al-Banna Ahmed ,   Department of Geology, College of Science, University of Baghdad, Baghdad, Iraq
Published: October 2022

The 2D seismic reflection data were used to study the structure of Shurau and Sheikh Alas formations (Oligocene) in the Ismail area, northern Iraq. The horizons of Shurau and Sheikh Alas reflectors were identified based on seismic data and well logs through a synthetic seismogram construction. The Two-Way Time, velocity and depth maps of two coinciding formations were obtained. A Great coincidence was noticed between two identical maps of the two formations. The Main closure (syncline) trending NE-SE was detected at the southwestern part of the study area, the syncline is associated with many anticlines in the same trend. The northern part of Bai Hassan structure was appeared at the southeast part of the study area, while some northeastern part of Qara chauq structure was detected in the southwestern part of the study area. The structure features of the two formations mostly trending NW-SE with some local variations may be due to transversal faults.
Yüksek Hızlı Tren Hatlarında Rayların Yeniden Profillendirilmesinde Döner Taşlama Metodunun Uygulanabilirliği: Ankara-Eskişehir Hattı Örneği
Authors: ARSLAN Elvan
Published: October 2022

Demir yolu rayları uzun süreli ve emniyetli kullanım için bakım planlaması yapılması gereken en önemli üst yapı elemanlarındandır. Rayların optimum profile sahip olması, sürüş konforunun arttırılması ve ray ömrünün ekonomik olarak uzatılabilmesi için rayların belirli periyotlarla yeniden profillendirme yapılması gereklidir. Bu çalışmada Yüksek Hızlı Tren Hatlarında rayların yeniden profillendirme çalışmalarında mobil ray taşlama makinesi ile döner taşlama metodunun uygulanabilirliği Ankara-Eskişehir hattı özelinde araştırılmıştır. Çalışmada öncelikle yeniden profillendirme stratejileri ve metotları ele alınmıştır. Çalışma öncesi hattın durumu incelenerek ön ölçümler alınmıştır. Değerlendirme sonucu belirlenen tolerans ve kalite gereksinimlerine göre döner taşlama uygulaması yapılmış olup alınan ölçümler incelenmiştir. Çalışma sonu yapılan değerlendirmede söz konusu metodun Yüksek hızlı Tren Hatlarında uygulanabilir olduğu görülmüştür. Bahse konu çalışmanın literatürde yeteri kadar yer almaması karşısında Yüksek Hızlı Tren Hatlarında yeniden profillendirme stratejilerinin oluşturulmasına katkı sağlayacağı düşünülmektedir.
Investigating different applications of Internet of Things towards identification of vulnerabilities, attacks and threats
Authors: Smail Boussaadi , Sanchez Dr. Domenic T. , Peconcillo Jr. Dr. Larry B. , De Vera Dr. John V. , Horteza Dr. AL D. , Jawarneh Malik , . Dr.Meenakshi
Published: October 2022

The Internet of Things, often known as IoT, is a project whose ultimate objective is to construct, in the not-too-distant future, a global network of linked, networked goods and things that are capable of exchanging data and working together. Through the use of the internet, it will be possible to read, recognise, localise, address, and otherwise control such things. Before widespread usage of the Internet of Things (IoT), consumers and business owners need to have trust in its underlying security architecture. It is essential to provide an explanation of how different devices connected to the Internet of Things may safely and effectively share data with one another and with remote computers. When designing security solutions, new privacy and security issues brought about by the Internet of Things need to be taken into consideration throughout the design process. Establishing trustworthy end-to-end encrypted connections is difficult due to the inherent heterogeneity of Internet of Things (IoT) communications and the vast range of hardware and software capabilities supported by IoT devices. Because of their slow processing rates, high power consumption, and little quantities of memory, the majority of Internet of Things devices have few security choices available. This is as a result of the fact that many traditional security approaches are unable to be deployed on devices that have restricted resources. This article presents an overview of the many uses of the Internet of Things, together with the security threats and operational challenges that each presents.
Accurate Prediction of Type II Diabetes using Artificial Neutral Networks
Authors: Dubey Kiran Bala , Shrivastava Dr. Gyanesh
Published: October 2022

Diabetes is a serious and progressive condition that is rapidly increasing in incidence and currently ranks third on the list of all causes of mortality throughout the globe. A key challenge for any nation, but particularly for one that is undergoing substantial change is the high diabetes prevalence rate. Research in the field of epidemiology has demonstrated that obesity and Type II diabetes are the result of a combination of genetic predisposition and lifestyle factors such as bad eating habits and a lack of physical exercise. This article presents machine learning and feature selection enabled framework for diabetes type 2 prediction. This article uses artificial neural network for classification and prediction of diabetes type 2 data. Input data used in experiment is gathered from Pima Indian Diabetes Dataset. Results are compared on the basis of certain parameters like- accuracy, sensitivity, specificity. Accuracy of artificial neural network is better for classification and prediction of type 2 diabetes.
Fog Data Processing and Analytics for Agriculture IoT Data Streams
Authors: Islam Shahidul , Jamwal Sanjay , Mir Mahmood Hussain
Published: October 2022

Pervasiveness rise of smart devices and sensor-based gadgets in building IoT systems is increasing unprecedented in technological innovations. The emergence of the Internet of Things technologies reshaped nearly every sector including agriculture. The agriculture sector contributes a significant figure to the country’s economy and it has a wide-ranging involvement in the advancement of human civilization. In the current scenario, the proper techniques of farming are needed as utmost propriety for better crop quality and quantity in a high-competition market. Crop disease prediction is key to shattering the problems of the farmer, reducing the usage of insecticides, and pesticides, and improving the financial conditions of the farmer. The Internet of Things and data analytics possess the ability to positively modernize the agricultural sector. However, Internet of Things-based applications needed to be deployed on a platform that offers real-time experience, reduced latency, and optimal bandwidth usage. Fog computing extends the computational power closer to the edge network where the devices reside and facilitate edge intelligence. In this paper, the fog importance, fog computing architecture along with the perceptions of data analysis in a fog environment, and emerging research challenges are discussed. Furthermore, in this paper an IoT-Fog based framework for the prediction of crop disease is proposed. The proposed framework consists of four phases, sensor layer, fog layer, cloud layer and End-user. The proposed framework may be beneficial in the farming domain for the analysis of crop disease prediction in the early stage and may reduce the chances of disease outbreaks in the field
Analysis of Time Factor with Resource Provisioning Frameworks in Cloud Environment for Improving Scheduling Performance
Authors: Pallavi Pallavi wankhede , Rekha Dr. Rekha Shahapurkar
Published: October 2022

Time is critical in the resource provisioning process in the Cloud Computing paradigm when serving cloud resources to cloud users. It's difficult for a cloud provider to serve a large number of users while also reducing long wait times after they've submitted a request. It is possible to improve the time factor by using a systematic resource provisioning process. This paper examines several time-based resource provisioning frameworks in greater detail. Many researchers focused on various time parameters that assist cloud service providers in providing the best resource-serving services to their customers. The primary goal of this paper is to assist future researchers, as well as cloud providers in observing and selecting the best time-based resource provisioning technique also they can emphasize building a new dynamic resource provisioning paradigm in the future with this work’s observations. To validate these observations, a novel Particle Swarm Optimization (PSO) based model is designed in this text, which uses the selected time-based resource provisioning technique, and applies it to real-time cloud scenarios. It was observed that the proposed model was able to showcase better efficiency of scheduling, and optimum cloud utilization when compared with other time-based resource provisioning models for different cloud deployments
Factores de riesgo psicosocial que afectan al desempeño laboral en el área administrativa del Instituto Tecnológico Bolivariano de Guayaquil
Authors: CAMPOVERDE CORONEL TATIANA CECIBEL , Muñoz Loor Karina
Published: October 2022

En todas las empresas están presentes los factores de riesgo psicosociales que afectan al desarrollo del trabajo, la salud física y social de los colaboradores de dicha empresa. Por lo cual se propone un plan de prevención de riesgos psicosociales en el desempeño laboral, de los trabajadores en el área administrativa del Instituto Tecnológico Bolivariano de Guayaquil. Por lo cual tiene un estudio descriptivo porque se quiere analizar características y rasgos importantes basado en los factores de riesgo psicosocial y como estos influyen en el desempeño laboral.  Tiene un enfoque cuantitativo su técnica es la encuesta en la cual se aplica a los 30 trabajadores del instituto siendo este número de pobladores y muestra. Para poder analizar la presencia de riesgos psicosociales se utiliza el cuestionario ISTAS 21 en el cual se miden seis dimensiones psicosociales como: exigencias psicológicas, trabajo activo, inseguridad, apoyo social doble presencia y compensación en la cual se califica al instituto con tres opciones: bajo, medio y alto. Se detecta que de las 6 dimensiones de factores de riesgo solo 3 están en un riesgo alto, teniendo como resultado que el Instituto está en un nivel medio por consiguiente se da unas recomendaciones para todo su personal administrativo.
In Vitro Evaluation of the Broad-Spectrum Antimicrobial Potential of Lactic Acid Bacteria Isolated from Milk Whey and Nunu for Veterinary Applications
Authors:   National Biotechnology Development Agency, Musa Yaradua Express Way, Lugbe, FCT, Abuja, Nigeria, Z Labbo,
Published: October 2022

Background Information One of the characteristic of bacteria zoonoses diseases is their tendency to re-emerge, as such they said to be responsible for a very high proportion of morbidity and mortality. Many documented zoonotic diseases and reported to be resistant to some conventional antibiotics. Similarly challenging is the fact that most of the antibiotics currently being used against these diseases are reported not to be completely metabolized and are often released in unmetabolized forms which when they find their ways into the food chain becomes health issue. Metabolites from some Lactic Acid Bacteria are being harnessed as a bio-active compounds for the novel unconventional control of these diseases which this research seeks to make contribution. Abstract Zoonoses incidences continue to play significant roles in both human and veterinary medicine and their eradication especially in the developing country like Nigeria, is difficult. Zoonotic food-borne infections caused by Gram-positive and Gram-negative bacteria are re-emerging. Several findings indicated that the cell-free supernatant derived from some Lactic Acid Bacteria have some antibacterial effects when applied directly or added to food during packaging. The aim of this study was to investigate the in vitro antagonistic effect of cell-free supernatant derived from some LAB species isolated from whey and Nunu (obtained from a locally fermented milk product) against some zoonotic bacteria pathogens (Escherichia coli, Salmonella sp. and Staphylococcus aureus. Streptococcus sp. and Salmonella sp. Four (4) LAB isolates were isolated, identified using basic morphological and biochemical characterization and screened on the basis of functional and technological characterization. The Cell-free supernatant from these strains, Lactobacillus casei LB01, Lactobacillus sp. LB02, Lactobacillus acidophilus LB03 and Lactobacillus plantarum LB04 were prepared by centrifugation at 10,000 rpm for 5 minutes and used against the indicator organisms at 107 CFU/ml using agar well diffusion method. The cell-free supernatant inhibited the growth of both Gram- positive and Gram-negative bacteria strains of veterinary origins. Our findings suggest that the LAB strains have the potential for antibiotic alternatives for the control of several zoonotic diseases. This holds a great advantage in the current efforts to tackling and reducing the prevalence and spread of zoonotic diseases which are re-emerging in Nigeria
Factors Affecting Audit Quality with Due Professional Care as Moderating Variable at KAP in Indonesia
Authors:   Sekolah Tinggi Ilmu Ekonomi Y.A.I, Suratman Adji , Gusmiarni Gusmiarni ,   Sekolah Tinggi Ilmu Ekonomi Y.A.I, Aminah Aminah ,   Sekolah Tinggi Ilmu Ekonomi Y.A.I
Published: October 2022

The Purposes of this research are to examine the influence of continuing professional education, experience of auditor, number of clients and audit tenure as factors that affect audit quality with due professional care as moderating variables on KAP in Indonesia. The amount of population of this research were 213 Public Accountants. The sampling technique used is purposive sampling and the number of samples is 198 Public Accountants. This research used logistic regression model with cross section data using the Eviews 12 application. The results of the research: Continuing professional education, Experience of auditor, number of clients except audit tenure partially and simultaneously have influanced audit quality. Audit tenure partially have no influance on audit quality. Due professional care as a moderating variable cannot moderate the influence of continuing professional education, Experience of auditor, number of clients and audit tenure on audit quality.
The Influence of Profitability and Price Earning Ratio on Company Value through Capital Structure in the Banking Industry Sector on the Idx
Authors:   Faculty of Economics,Universitas Krisnadwipayana Jakarta, Sihombing Leonardo , Razak Ismail ,   Faculty of Economics,Universitas Krisnadwipayana Jakarta, Indratjahyo Harry ,   Faculty of Economics,Universitas Krisnadwipayana Jakarta
Published: October 2022

The purpose of this study was to examine and analyze the effect of profitability and price earning ratio on company value through capital structure in the banking industry sector on the IDX. This research is explanatory through hypothesis testing to test the causal relationship between the variables of profitability, price earning ratio, company value and capital structure. The data used in this research is secondary data from annual report data and financial report data of banking companies. The sampling method used purposive sampling. Hypothesis testing in this study uses path analysis. The results showed that profitability did not support the increase in the capital structure of the banking industry sector on the Indonesia Stock Exchange, and the price earning ratio did not support the capital structure of the banking industry sector on the Indonesia Stock Exchange. Then, profitability supports an increase in the value of the banking industry sector company on the Indonesia Stock Exchange and the price earning ratio does not support an increase in the value of the banking industry sector company on the Indonesia Stock Exchange, the capital structure does not support an increase in the value of the banking industry sector company on the Indonesia Stock Exchange, and there is no support mediation between profitability and price earning ratio to company value through capital structure, so that capital structure cannot be an intermediary from profitability and price earning ratio to company value
Influence of Takeoff and Landing Displacement Strategies on Standing Long Jump Performance
Authors: Scherrer Daniel , Barker Leland , Harry John
Published: October 2022

We evaluated the influence of takeoff and landing distance contributions to measured jump distance during the standing long jump (SLJ). Twenty male soccer players performed three SLJs while ground reaction force data (GRF) were obtained. The horizontal distances created by lower body position (DBODY) prior to takeoff (DTO) and landing (DLA) were calculated. Ratios for DTO (RTO) and DLA (RLA) were calculated relative to standing height, quantifying the proportion of measured jump distance (DJUMP) created during each phase. Variables were compared using dependent t-tests (α=0.05) and effect sizes (ES; large>1.2). Pearson correlations determined the relationships among variables. RLA was greater than RTO (p<0.001). DLA was greater than DTO (p<0.001). Very large ES were detected between RTO and RLA and DTO and DLA (ES≥2.53). Near perfect correlations were identified between DTO and RTO (r=0.96; p<0.001) and DLA and RLA (r=0.99; p<0.001). Strong correlations were identified between DJUMP and RLA (r=0.63; p=0.003) and DBODY and DJUMP (r=0.70; p<0.001). It is concluded that DLA more greatly influences the total distance measured during the SLJ versus DTO. These results highlight athletes’ strategy to maximize jump distance (flight distance plus the distances prior to takeoff and landing) during SLJ tests.
Estudio de la relación de la ancestría genética con el riesgo al cáncer colorrectal en Colombia
Authors: Criollo-Rayo Angel , Bohórquez Mabel Elena , Lott Paul , Carracedo Angel , Tomlinson Ian , Carvajal Luis , Echeverry Magdalena
Published: October 2022

Introducción. El cáncer colorrectal es una carga para la salud pública en Colombia y el mundo. Estudios de asociación genética han identificado regiones cromosómicas asociadas a esta enfermedad, mostrando riesgo variable entre poblaciones, debido a la historia demográfica y la ancestría genética. Objetivo. Estudiar el riesgo que aportan 20 marcadores al cáncer colorrectal en Colombia, empleando 955 casos y 972 controles del consorcio CHIBCHA, analizando conjuntamente el efecto de la ancestría genética global y local. Metodología. Las muestras se genotipificaron usando microarreglos Axyom Affymetrix LAT y CUSTOME, para obtener los genotipos genómicos globales, incluyendo 20 SNPs de riesgo. Los análisis estadísticos se realizaron en PLINK (asociaciones), ADMIXTURE (ancestría global), Elai (ancestría local) y R (modelos logísticos). Resultados. Once regiones cromosómicas resultaron asociadas presentando ORs entre 1.14 y 1.41 (p<0.05): 18q21.1, 19q13.11, 10p14, 14q.2.2, 20p12.3, 8q23.3, 6p21.2, 15q13.3 y 8q24.21. Una mayor ancestría europea se asoció con el riesgo a nivel global (OR=3.016, IC 95%:1.162-7.894, p=0.00325), y a nivel cromosómico local se detectaron las regiones 6q23.2 (ORajustado=1.378, IC95%: 1.202-1.580, Pajustado=4.2e-6) y 4p13 (ORajustado=1.301, IC95%:1.137-1.489;
Pajustado=0.00013). Conclusiones. La ancestría podría considerarse un factor en la explicación de la susceptibilidad en Colombia, indicando que la mezcla genética de origen amerindio y europeo, influye en la estructura poblacional y explicaría las diferencias en la incidencia del CCR entre poblaciones latinas y europeas.
Oyuna Yönelik Ölçme Araçlarını Karşılaştırmalı Bir Derleme
Authors: COŞKUNMERİÇ Beste , KARADENİZ Gülçin
Published: October 2022

Oyun, çocukların gelişim alanlarını etkilemesi sebebiyle yaşamlarında büyük bir önem taşımaktadır. Oyun esnasında çocuklar bilişsel, fiziksel ve sosyal-duygusal olmak üzere gelişimsel becerilerini ortaya koyma ve geliştirme fırsatı bulurlar. Bu sebeplerden dolayı oyun, gelişim psikolojisi araştırmalarının önemli bir konusu haline gelmektedir. Bu çalışma, oyun hakkında Türkiye’de yapılan araştırmalar ile geliştirilen ya da Türkiye için güvenilirliği geçerli ölçeklerin belirlenmesi ve bu ölçeklerin çocukların gelişim alanları hakkındabu ölçeklerden elde edilen bilgilerin betimlenerek derlenmesi amaçlanmıştır. Çalışma için öncelikle ULAKBİM, Google, Google Akademik ve YÖK TEZ veri tabanlarında oyun, geleneksel oyun, dijital oyun, oyun araştırmaları, ölçek, oyun davranışı, ebeveyn oyunu, gelişim alanları, oyunculuk anahtar kelimeleri ile literatür taraması yapılmıştır. Değerlendirmeler sonucunda çalışmaya Türkiye’de geliştirilen 4 adet ve Türkçe’ye uyarlanan 7 adet olmak üzere toplam 11 ölçek dahil edilmiştir. Ölçekler benzer alanları araştırsalar da ölçeklerin alt boyutlarının hizmet ettiği bilişsel, sosyal-duygusal ve fiziksel olmak üzere gelişim alnalarına göre birbirinden farklılaşmakta olduğu gözlenmiştir. Sonuç olarak, bu derleme çalışmasının oyun alanında araştırma yapmak isteyen araştırmacılar için öneri niteliği taşıması ve çocukların gelişim alanları hakkında bilgi edinmeyi amaçlayan çalışmalara katkı sağlaması hedeflenmiştir.
An Intelligent Video Editing Automate Framework using AI and Computer Vision
Authors: Yang Mei Yi , Sun Yu
Published: October 2022

The issue to be resolved was videos may be a difficult and time-consuming process to edit, specifically with cropping videos [4]. The solution that was implemented was a mobile application that was capable of cropping videos using a body tracking solution called MediaPipe Pose [5]. Using a landmark model that labeled the body parts of a person, the application can recognize where the person is located in the video frame by saving the minimum and maximumx- and y- coordinates. In the image array, the rows and columns not included within those coordinates are deleted, which leaves only the area with the person inside. To prove the effectiveness of the application in daily life, a survey was performed on fifteen participants. Each participant was shown the same video demonstration of the application being used, then the participants answered questions regarding how useful the application would likely be in daily life and how convenient the application would be to use. Results indicate that the general public would be willing to use the application as a long-term solution for video cropping [7].
Hyper-Parameter Tuning in Deep Neural Network Learning
Authors: Zhan Tiffany
Published: October 2022

Deep learning has been increasingly used in various applications such as image and video recognition, recommender systems, image classification, image segmentation, medical image analysis, natural language processing, brain–computer interfaces, and financial time series. In deep learning, a convolutional neural network (CNN) is regularized versions of multilayer perceptrons. Multilayer perceptrons usually mean fully connected networks, that is, each neuron in one layer is connected to all neurons in the next layer. The full connectivity of these networks makes them prone to overfitting data. Typical ways of regularization, or preventing overfitting, include penalizing parameters during training or trimming connectivity. CNNs use relatively little pre-processing compared to other image classification algorithms. Given the rise in popularity and use of deep neural network learning, the problem of tuning hyperparameters is increasingly prominent tasks in constructing efficient deep neural networks. In this paper, the tuning of deep neural network learning (DNN) hyper-parameters is explored using an evolutionary based approach popularized for use in estimating solutions to problems where the problem space is too large to get an exact solution.
An Interactive and Scenario-based Simulation Gaming System for Business Education using Game Engine and Machine Learning
Authors: Ma Yingzhi , Sun Yu
Published: October 2022

Technology has become increasingly vital in society. The COVID-19 pandemic demonstrated how useful technology was in keeping society running, especially education [15]. One major trend is the use of simulations as a tool for education. Business is one of the fields that could benefit massively from the implementation of new educational simulations. For this study, a survey was conducted to gauge their prior educational experience and interest in fields such as business and computer science. Additionally, the survey participants were questioned on their previous experiences with using interactive simulations. The study had fifty-one participants both complete the survey and give consent to have their data shared in this research paper. These participants were given an additional survey to either test a business simulation or watch a video of one and respond whether they learned from it. The results indicate that although most people would want to play a game that taught more about business, only roughly 45% of individuals expressed interest in the topic of business. Furthermore, the survey responses also indicated that a large majority of individuals would also prefer more interactive educational simulations for other topics. The reception to the business simulation was mostly positive, and participants indicated that it was effective at helping them learn business. Overall, it was concluded that there is not enough access to business simulations to meet the public’s interest, and either more should be created or existing ones should be made better known.
Image Segmentation in Shape Synthesis, Shape Optimization, And Reverse Engineering
Authors: Ćurković Milan , Ćurković Andrijana , Vučina Damir , Samardžić Domagoj
Published: October 2022

Image segmentation and segmentation of geometry are one of the basic requirements for reverse engineering, shape synthesis, and shape optimization. In terms of shape optimization and shape synthesis where the original geometry should be faithfully replaced with some mathematical parametric model (NURBS, hierarchical NURBS, T-Spline, …) segmentation of geometry may be done directly on 3D geometry and its corresponding parametric values in the 2D parametric domain. In our approach, we are focused on segmentation of 2D parametric domain as an image instead of 3D geometry. The reason for this lies in our dynamic hierarchical parametric model, which controls the results of various operators from image processing applied to the parametric domain.
Validation and Reliability of Self-Efficacy English Learning of Health Vocational Students with Jigsaw Learning Strategy
Authors: Istanto Wisnu , Amelia Noer , Anggoro Sapto Dwi
Published: October 2022

The purpose of this study was to put to the test a self-efficacy survey of four language skills (listening, speaking, writing, and reading) using the Jigsaw Learning Strategy. This study was a descriptive qualitative study in which 20 question items about self-efficacy and four language skills in English mastery for health vocational students are tested. This qualitative study was carried out in two classrooms with 39 health vocational students each from January 2021 to August 2022. Two classrooms were set up for the lecture group, one for Jigsaw and one for non-Jigsaw. Self-efficacy questionnaires were used to gather information. In the learning group, there were fourteen sessions totaling two hours, during which each class learned the same practice and comprehension material. Four language skills were worked on by the students. The questionnaire data was analyzed by the product moment to determine validity, and all were found to be valid with results greater than the value of the r table and less than 0.025. The reliability test results on questionnaire data revealed that the data were reliable or consistent. The Keiser-Meyers-Oklin Self-Efficacy Measure in the group of questions for all questionnaire items could be considered appropriate. The Measure of Sampling Adequacy results were also used to determine whether the self-efficacy variable was large enough for further analysis. The communality value was greater than 0.03, indicating a positive relationship between variables. Descriptive analysis, jigsaw classes respond better to self-efficacy surveys than non-jigsaw classes, implying increased self-confidence in the English learning process.
Keywords: Jigsaw Learning Strategy, Self-Efficacy English Learning, Validation and Reliability
Negative regulation of CDKN1A by the histone methyltransferase EHMT2 for cell growth in colorectal cancer
Authors: Kim Kwangho , Kim Dae-Soo , Son Mi-Young , Cho Hyun-Soo
Published: October 2022

The epigenetic regulation of oncogenes and tumor suppressor genes by histone methyltransferases is an important process for colon cancer growth and metastasis. Although various epigenetic modifiers have been recognized as attractive therapeutic targets for colon cancer treatment, alternative epigenetic regulation in colon cancer for reducing side effects and increasing the effectiveness of treatments has not been thoroughly explored. In this study, we identified CDKN1A as a direct target for EHMT2 by RNA-sequencing and found increased growth suppression via upregulation of CDKN1A by EHMT2 knockdown. In addition, using a 3-dimensional culture system for spheroid formation with an ultralow attachment plate, we confirmed EHMT2-related growth suppression and CDKN1A regulation. Thus, we suggest that EHMT2 may be a therapeutic target for colon cancer treatment, and an EHMT2 inhibitor should be developed for the effective treatment of colon cancer.
Pandemia COVID-19: adversidades e desafios enfrentados pela gestão escolar e docentes
Authors: Santos Ketlen Saides Santana dos , Almeida Simone Aparecida Pinheiro de , Santos Adiléia Ribeiro
Published: October 2022

Em 2020 e 2021 a pandemia trouxe impactos na rotina de todos os envolvidos no processo educacional, seja alunos, professores e grupo pedagógico das escolas. Tal período forçou que as aulas presenciais fossem paralisadas e que o ensino passasse a ser remoto, sem que houvesse um preparo adequado a equipe pedagógica. Essa mudança de rotina trouxe agravamento a saúde destes profissionais, bem como afetou a forma com que eles tiveram que preparar as aulas, gerando afazeres dobrados a estes. A presente pesquisa teve como problemática descobrir quais foram as dificuldades que diretores, pedagogos e professores encontraram na escola durante a pandemia? Tendo como objetivo principal analisar os problemas enfrentados pela gestão escolar e docentes devido a pandemia de COVID-19. Quanto aos procedimentos metodológicos a pesquisa se classifica como estudo de caso, qualitativa, e de análise documental. Para a coleta de dados foi realizado uma entrevista estruturada com uma diretora e um questionário aplicado a professores da Escola Reitor Alvaro Augusto Cunha Rocha - CAIC, localizada em Ponta Grossa, no estado do Paraná. Por meio da análise dos dados obtidos foi possível levantar os principais pontos de dificuldade, bem como os desafios causados aos professores e grupo de gestão devido a pandemia.
Formulation And Testing Of The Effectiveness Of The Ethanol Extract Lotion Of Rosella Flower (Hibiscus Sabdariffa L.) Lotion As A Skin Moisturizer
Authors: Kurnia Felicia , Suyono Tan , Napiah Nasuyion Ali , Ferdinan Sahna
Published: October 2022

Rosella flowers are able to provide a moisturizing and smoothing effect because they contain many substances that are useful for the skin, rosella flowers are also synonymous with a sour taste so that it gives a fresh sensation. In this study, the ethanolic extract of rosella flowers used was at a concentration of 2%, 2.5%, 3%, and 5%. This type of research is experimental research using a pre-test and post-test control group design. The sample of this research is Rosella flower extract lotion (Hibiscus Sabdariffa L.). Data analysis using ANOVA. The results showed that the entire concentration group of rosella flower (Hibiscus Sabdariffa L.) ethanol extract in this study was effective in moisturizing the skin. Ethanol extract of rosella flower (Hibiscus Sabdariffa L.) which is most effective in moisturizing the skin is ethanol extract with a concentration of 5%. The entireconcentration group of Rosella flower (Hibiscus Sabdariffa L.) ethanol extract in this study was effective in smoothing the skin. The ethanol extract of rosella flower (Hibiscus Sabdariffa L.) which was most effective in smoothing the skin was ethanol extract with a concentration of 5%.
Implementation Of Minimum Service Standards (Mss) In The Pharmaceutical Field At Pharmaceutical Installations At Royal Prima Hospital
Authors: Amelia Firdha , Kaban Karmila , Wahyuni Nasution Sri , Khu Adrian
Published: October 2022

Minimum Service Standards (MSS) are provisions regarding the type and quality of basic services which are mandatory regional affairs that every citizen has the right to obtain at a minimum. Withthe preparation of MSS, it is hoped that it can help implement the implementation of Minimum Service standards in hospitals. Knowing the implementation of minimum service standards (MSS) for the pharmaceutical hospital in the pharmacy installation of Royal Prima Hospital. The type and design of this research are qualitative. The population in this study was 5 informants. The results showed that the minimum service standards consisting of medication errors, writing drugs according to the formulary, patient satisfaction, and waiting time for drugs had been carried out at Royal Prima Hospital. Based on the results of research on the implementation of minimum service standards (MSS) for the pharmacy sector at the pharmacy installation of Royal Prima Hospital, it can be concluded that the minimum service standards consist of medication errors, drug writing according to the formulary, patient satisfaction and waiting time for drugs have been carried out. at the Royal Prima Hospital.
Dengue Virus Detection Using Rt-Pcr Method In Ternate City, North Maluku, Indonesia
Authors: Tomia Amalan , Tuharea Rosmila
Published: October 2022

The Dengue disease is caused by a virus from the family Flaviviridae and there are four distinct, but closely related, virus serotypes that cause dengue (DENV-1, DENV-2, DENV-3 and DENV-4). Dengue virus detection is very important to determine the virus serotype that develops in an area. There are several methods to detect dengue virus based on different targets, namely nucleic acids, viral antigens, and antibodies. This study aims to determine the type of dengue virus serotype in four working areas of the Public Health Center in Ternate City. The sample in this study was the eggs of Aedes sp mosquitoes caught in the homes of DHF sufferers and the houses around them. Collection of mosquito eggs Ae. Aegypti was carried out in four Puskesmas working areas in Ternate City. Ovitrap installation was carried out in 200 houses, with a total of 400 ovitraps. Rearing eggs and dengue virus detection were carried out at the Microbiology Laboratory, LITBAGKES Banjarnegara. The method used in this research is the RT-PCR test. The data analysis of the research results was carried out descriptively. Based on the identification results, the mosquito used in this study was the Aede aegypti mosquito. The results of electrophoresis produced viral RNA with a base length of 100 bp, while the target RNA that had been determined were Den1 = 342 bp, Den2 = 251 bp, Den3 = 538 bp. Den4 = 752 bp. The results of the RT-PCR examination showed that the Ae. aegypti in the four working areas of the Puskesmas did not contain the dengue virus (virus negative).
Effectiveness of midline lumbar fusion with cortical bone trajectory screw fixation for degenerative lumbar spine disease in geriatric patients over 80 years old: a single-center, one-decade experience
Authors: Jang Giwuk , Ryu Seungjun
Published: October 2022

Objective: We aimed to retrospectively analyze clinical and surgical outcomes following posterior lumbar interbody fusion with concomitant pedicle screw fixation, midline lumbar fusion, and decompressive laminectomy in patients aged 80 years or older with degenerative lumbar spine disease.Methods: The study group comprised 94 patients aged 80 years or older who received degenerative lumbar spinal surgery at our spine center from January 2011 to December 2020. Among them, 28 patients underwent decompressive laminectomy, 19 underwent posterior lumbar interbody fusion with pedicle screw fixation, and the remaining 47 underwent midline lumbar fusion.Results: No significant intergroup differences were found regarding age, sex ratio, follow-up duration, and surgical level. The visual analog scale for lower back pain on postoperative day 7 was significantly different among the groups (P<0.05). The Oswestry disability index was significantly different among the groups after 1 week of follow-up (P<0.05). The estimated blood loss and operation time also showed significant differences among the groups (P<0.05). There was a statistically significant difference among the groups in postoperative morbidity (P<0.05).Conclusion: Although the clinical outcomes were not significantly different among the three groups, perioperative morbidity was more favorable in the decompression and midline lumbar fusion groups. Therefore, we suggest that midline lumbar fusion is not inferior to posterior lumbar interbody fusion with pedicle screw fixation, if there is a need for fusion in elderly patients over 80 years of age.
PENINGKATAN PEMAHAMAN LITERASI ANAK DAN REMAJA DI DESA SUKAREMA KECAMATAN LENEK
Authors: Munir Muhammad Munir , Alwan Muhammad Alwan , Husairi Husairi , Lisnawati Lisnawati , Nita Nita Sunarya Herawati , Hayaturrayan Hayaturrayan , Sholehah Hijriati Sholehah
Published: October 2022

The implementation of digital literacy training in the village of Sukarema has a very big influence on changes in people's habits, especially parents in controlling and supervising children when carrying out activities related to digital literacy. The implementation of PKM activities is carried out using the lecture method, aiming to provide understanding to parents that digital literacy is very necessary to help children digitally. We use practical methods to strengthen understanding of digital literacy. After the PKM implementation took place, the community (parents) could feel positively both the usefulness and benefits of digital literacy in finding information related to learning and other things. In addition, about 83.3% of the Sukarema villagers use digital for more than 4 hours per day. This shows that the progress of digital literacy is growing very fast. This proves that the implementation of digital literacy training can increase public or parents' understanding of digital literacy and can control and supervise children in using digital.
Awareness and Usage Reference Management Tools and Referencing Styles among Faculty Members of University of Tamil Nadu, India
Authors: Jegan M. S. , Balasubramanian P.
Published: October 2022

This paper studied about to identify the Awareness and Usage Reference Management Tools and Referencing Styles among Faculty Members of University of Tamil Nadu. The online questionnaires were used to collect the data in the universities among the faculty members and 200 questionnaires were distributed, 189 questionnaires were filled, and returned for usable by the participant and remaining not replied. The responses rate is 95.94.50%. The ‘Female’ faculty members’, 3(1.59%) of them ‘Fully Unaware’, 6(3.17%) of them ‘Slightly Aware’, 18(9.52%) of them ‘Somewhat Aware’, 32(16.93%) of them ‘Moderately Aware’ and 12(6.35%) of them ‘Fully Aware’. And also the faculty members have given first priority to the ‘APA. ‘MLA and ‘Chicago’ are the familiar referencing styles and the second and third preference respectively.
Library User Education as it Correlates Students’ Use of Library Resources in Private University Libraries in Edo State, Nigeria
Authors: Adebayo-Atchrimi Imade , Agina-Obu Rachael , Ogunbodede Kolawole Francis
Published: October 2022

The study examined library user education as it correlates with students’ use of information resources in private university libraries in Edo state, Nigeria. A descriptive survey design was used. Four research questions and one hypothesis guided the study. The population of the study comprised 7400 undergraduate students at the three private universities in Edo state. A simple random sampling technique was used to determine the sample size, which is 891 students, representing 65% of the total population. The study’s sample size was determined using the Taro Yamane sample size formula. The questionnaire was the instrument used for data collection. The study’s data were reviewed to see whether there was any internal consistency of reliability, and a reliability coefficient of 0.98 was gotten through the Cronbach Alpha method. The questionnaire was deemed credible based on the coefficient obtained. Data were analyzed with frequency counts, simple percentages, and Statistical Product and Service Solutions (SPSS) version 23 was used to generate the mean and standard deviation while Pearson’s product-moment correlation coefficient was used to test the hypothesis at 0.05 significant level. The findings revealed that the majority of the students used the library information resources daily with textbooks and digital resources being the most commonly used. The study also established that the students have a positive perception of the impacts of library user education on the use of information resources and that no challenges are hindering the effective use of information resources in the libraries. Lastly, the test of hypothesis shows that there is a significant relationship between library user education and student’s use of information resources in private university libraries in Edo state. The positive relationship implied that library user education enhanced students’ use of information resources in the libraries. Based on the findings, the researchers recommended that the university library administrators should regularly plan and enhance library user education training to better meet users’ information demands.
Global Scientific Productivity of Top Four Journals of Virology Over Three Decades: A Scientometrics Study
Authors: Sankar Vishakha , Ramaswamy Sarangapani
Published: October 2022

Trends in Virology research have been inclined after outbreak of COVID 19 pandemic. The main objective of this study is to identifying and visualizing the scientometric indicators of top four highly productive journals publishing papers on area related to Virology research. The data collected on 5 January 2022 from Web of Science all relevant global publications of Virology research. Then, publications were restricted to top 4 highly productive journals in this field. An Exploratory and descriptive analysis of bibliographic data (number of publication/citations yearly output, growth rate, authorship and collaborative pattern, productive countries) by using Bibexcel, MS Excel and VOS viewer software packages were used. The top ranked journals of virology ranked as Journal of Virology (N= 37205, 51.50%), Virology Journal (N= 15052, 20.83%), Journal of General Virology (N= 10745, 14.87%) and Archives of Virology (N= 9238, 12.79%) respectively. Cross-country comparison reveals that the USA is currently taking the leading role, followed by the UK, Germany & Japan and China is a newcomer with potential contributions to make in this research area. The present study offers important quantitative information on top journals of Virology. In addition, researchers are increasingly investigating the intellectual structures of disciplines by using various bibliometric techniques.
Success Factors in Alternative Delivery Channels of Banking: Innovative Solutions to Meet the Challenges of Bank of the Future
Authors: Rapti Saila Sarmin , Masudur Rahman Md.
Published: October 2022

This paper aims at understanding the success factors in the Alternative Delivery Channel (ADC) of different scheduled commercial banks in Bangladesh. This research includes the most commonly used channels provided by commercial banks such as ATM, POS, Credit/debit card, mobile banking, internet banking, agent banking, etc. The research methodology involves collecting both primary and secondary data. The primary data was sourced from the questionnaire prepared to find out the significant factors that responsible for the successful venture of any alternative delivery channel of the scheduled banks. The clients were selected based on their services received from ADCs and the sample size is 144. The study also focuses on the reasons why some banks are so successful in this area, why some banks are not. For the secondary data, the authors have taken the individual bank’s data from Bangladesh Bank. The secondary data enabled to assess of the present scenario of the ADC facilities of the commercial banks in Bangladesh. The study will help policymakers to detect the challenges of promoting alternative delivery channels in the banking sector and make solutions to meet the challenges of the future banking system.
COVID-19 Pandemic and Tourism Industry in Himachal Pradesh: An Economic Analysis
Authors: Sood Ajay , Pal Dharam , Singh Ritesh
Published: October 2022

The emerging infection of COVID-19 pandemic was initiated from Wuhan, China got spread to more than 200 countries around the globe including India. The COVID-19 pandemic is not only dangerous for our health but for the health of the nation also. Indian economy is highly affected due to the lockdown. A large segment of the Indian population lost their livelihood due to shutdown of trades, travel and tourism, commercial and other business activities during the lockdown. In India, the various measures adopted to control this deadly virus had a wide- ranging impact on the various business activities in general and Tourism and Hospitality Industry in particular. Tourism Industry is the backbone of the economy of Himachal Pradesh and provides employment to larger section of the society directly or indirectly. During COVID-19 pandemic, the Tourism Industry has experienced negative growth rate and affected a larger section of the society. This paper made an attempt to study various impact of COVID-19 pandemic on the Tourism sector of Himachal Pradesh.