bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of an Algorithm for Extracting and Encoding Data from Log Messages of a Computing System for Anomaly Detection Systems
Authors:   National Research University ", Drachev G. A. ,   Higher School of Economics",   , Moscow, Russian Federation
Published: July 2023

This article is devoted to development of an algorithm for automated analysis and transformation of a log message into a list of features in the form of a fixed-length vector and accumulation of the obtained vectors into a single dataset. The resulted dataset is proposed to be used in machine learning based anomaly detection systems. An additional requirement for the algorithm being developed is the diversity of protocols used to collect log messages in a computer system. These goals were achieved by develop of the software package. The software package collect and parse data from log messages in order to isolate and encode the features from log messages. The software package is enable to collect log messages by several protocols: syslog, SNMP, SQL, reading text and binary files. The data extracted from the log messages of the computing system is considered. The support of LUA scripts for data enrichment is applied. The list of features is generated. The method to encode text data extracted from log messages is proposed. The transformation algorithm of an arbitrary log message into a features vector of fixed dimension is proposed. A methodology for the formation of a dataset for subsequent use in machine learning of the anomaly detection system in a computing system is provided. An example of a dataset storage structure is given.
Instrumentos de avaliação sobre qualidade de vida em adultos estomizados: protocolo de revisão sistemática
Authors: Fernandes Amanda Delmondes de Brito Fontelene , Machado Raylane da Silva , Lopes Antonia Mauryane , Arrais Kerolayne Laiz Barbosa de Morais , Silva Grazielle Roberta Freiras da
Published: July 2023

Objetivo: analisar metodologicamente resultados de pesquisas que investigaram as propriedades psicométricas (confiabilidade, responsividade e validade) de instrumentos de qualidade de vida para pessoas com estomias de eliminação. Método: revisão sistemática da literatura que será realizada de acordo com a iniciativa Consensus-based Standards for the selection oh health Measurement INstruments (COSMIN), desenvolvida em dez etapas. As buscas serão realizadas em bases de dados nacionais e internacionais, sem restrição de idiomas e temporal. Para avaliar a qualidade metodológica dos estudos, empregar-se-á o checklist de risco de viés COSMIN, aplicando-se os critérios de qualidade para boas propriedades de medida. Por último, as evidências serão compiladas, avaliando-se sua qualidade através da abordagem GRADE. Este estudo encontra-se em andamento e o protocolo está registrado na International Prospective Register of Systematic Reviews (PROSPERO) sob o número CRD42022320642.
Clay mineral and Nd, Pb, and Sr isotope provenance of a MIS 4-3 sediment record from the Lomonosov Ridge, central Arctic Ocean
Authors:   Oulu Mining School, University of Oulu, Finland, Alatarvas Raisa , Immonen Ninna ,   Oulu Mining School, University of Oulu, Finland, Strand Kari ,   Oulu Mining School, University of Oulu, Finland
Published: July 2023

Modern techniques for detrital mineral provenance were applied to sediment core 96/12-1pc from the Lomonosov Ridge in the central Arctic Ocean. The techniques include quantitative clay mineralogy analysis combined with determination of Nd, Pb, and Sr isotopes from clay fraction. The clay mineral assemblage and the isotope signatures depict distinct changes during the Marine Isotope Stage (MIS) 4-3 transition corresponding to the Middle Weichselian deglaciation. This transition is characterised by a homogenous, 48 cm thick, dark grey, silty clay layer with a distinctive IRD concentration, forming a prominent marker bed for the central Arctic Ocean sediments. The elevated smectite and kaolinite contents in the transitional interval are possible weathering products of the Siberian basaltic rocks, such as the Putorana Plateau, feeding the shelves of the Kara Sea and the western Laptev Sea. The Nd and Sr isotope values are compatible with input from the basaltic rocks and fall within the isotopic range of sediments from these shelves. The abrupt changes in the Nd, Pb and Sr isotopic data from the distinct grey layer attributed to the MIS 4-3 transition likely mark a pronounced deglaciation event. An increase in coarse debris in the grey layer indicates a change in the sedimentation regime with a strong iceberg rafting component. This change may also be related to a sudden release of meltwater from a large ice-dammed lake in the northern Siberia.
A Quality of Experience-based Recommender System for E-learning Resources
Authors: Chakkaravarthy Midhun , Kumar G. Senthil
Published: July 2023

Web services are a rapidly developing and generally acknowledged technology across all areas of management. Independent software systems that can be shared and called from anywhere online. The creation of educational tools (such LMSs, MOOCs, and e-learning) now typically makes use of web services. Having these learning tools readily accessible online is a great method to acquire and disseminate information. The primary objective of this paper is to describe how web services can effectively manage educational resources by leveraging Quality of Experience and to develop an effective E-learning recommender system in the context of web services that help the user choose a course based on his needs in terms of availability, cost, and reputation.
Securing IoT Networks for Detection of Cyber Attacks using Automated Machine Learning
Authors: Sangwan Urvashi , Chhillar Rajender Singh
Published: July 2023

Cybercriminals are always developing innovative strategies to confound and frustrate their victims. Therefore, maintaining constant vigilance is essential if one wishes to protect the availability, confidentiality, and integrity of digital systems. Machine learning (ML) is becoming an increasingly powerful technique for doing intelligent cyber analysis, which enables proactive defenses. Machine learning (ML) has the potential to thwart future assaults by studying the recurring patterns that have already been successful. Nevertheless, there are two significant drawbacks associated with the utilization of ML in security analysis. To begin, the most advanced machine learning systems have significant problems with their computing overheads. Because of this constraint, firms are unable to completely embrace ML-based cyber strategies. Second, in order for security analysts to make advantage of ML for a wide variety of applications, they will need to develop specialized frameworks. In this study, we aim to put a numerical value on the degree to which a hub can improve the safety of an ecosystem. Typical cyberattacks were carried out on an Internet of Things (IoT) network located within a smart house in order to validate the hub. Further investigation of the intrusion detection system's (IDS) resistance to adversarial machine learning (AML) assaults was carried out. In this method, models can be attacked by supplying adversarial samples that attempt to take advantage of the defects in the detector that are present in the pre-trained model.
Analyze the Performance of Software by Machine Learning Methods for Fault Prediction Techniques
Authors: Gupta Nikita , Sinha Ripu Ranjan , Goyal Ankur , Sunda Neelam , Sharma Divya
Published: July 2023

Trend of using the software in daily life is increasing day by day. Software system development is growing more difficult as these technologies are integrated into daily life. Therefore, creating highly effective software is a significant difficulty. The quality of any software system continues to be the most important element among all the required characteristics. Nearly one-third of the total cost of software development goes toward testing. Therefore, it is always advantageous to find a software bug early in the software development process because if it is not found early, it will drive up the cost of the software development. This type of issue is intended to be resolved via software fault prediction. There is always a need for a better and enhanced prediction model in order to forecast the fault before the real testing and so reduce the flaws in the time and expense of software projects. The various machine learning techniques for classifying software bugs are discussed in this paper.
An Enhanced Scammer Detection Model for Online Social Network Frauds Using Machine Learning
Authors: Bharne Smita , Bhaladhare Pawan
Published: July 2023

The prevalence of online social networking increase in the risk of social network scams or fraud. Scammers often create fake profiles to trick unsuspecting users into fraudulent activities. Therefore, it is important to be able to identify these scammer profiles and prevent fraud such as dating scams, compromised accounts, and fake profiles. This study proposes an enhanced scammer detection model that utilizes user profile attributes and images to identify scammer profiles in online social networks. The approach involves preprocessing user profile data, extracting features, and machine learning algorithms for classification. The system was tested on a dataset created specifically for this study and was found to have an accuracy rate of 94.50% with low false-positive rates. The proposed approach aims to detect scammer profiles early on to prevent online social network fraud and ensure a safer environment for society and women’s safety.
Empirical Research on Machine Learning Models and Feature Selection for Traffic Congestion Prediction in Smart Cities
Authors: Jenifer J. , Priyadarsini R. Jemima
Published: July 2023

The development of smart cities has occurred over the past ten years. One primary goal of “smart city” initiatives is to lessen vehicle congestion. Several innovative technologies, including vehicular communications, navigation, and traffic control, have been created by Vehicle Networking System to address this problem. The traffic data gathered by smart devices aids in the forecasting of traffic in smart cities. This project created an Intelligent Traffic Congestion Management System (ITCMS) that uses machine learning techniques and traffic data from Kaggle to decrease the amount of time spent stuck in traffic. This study aims to assess feature selection methods and machine learning models for traffic forecasting in smart cities. The feature dimension is reduced using feature selection techniques, such information gain, correlation attribute, and principal component analysis. The recommended model successfully predicted traffic flow, assisting in the alleviation of congestion. The principal component analysis with random forest model outperforms the other machine learning models and has a 95% accuracy rate.
Survey on Various Aspects of Clustering in Wireless Sensor Networks Employing Classical, Optimization, and Machine Learning Techniques
Authors: Gunjal Monica Shivaji , Kulkarni Pramodkumar H.
Published: July 2023

A wide range of academic scholars, engineers, scientific and technology communities are interested in energy utilization of Wireless Sensor Networks (WSNs). Their extensive research is going on in areas like scalability, coverage, energy efficiency, data communication, connection, load balancing, security, reliability and network lifespan. Individual researchers are searching for affordable methods to enhance the solutions to existing problems that show unique techniques, protocols, concepts, and algorithms in the wanted domain. Review studies typically offer complete, simple access or a solution to these problems. Taking into account this motivating factor and the effect of clustering on the decline of energy, this article focuses on clustering techniques using various wireless sensor networks aspects. The important contribution of this paper is to give a succinct overview of clustering.
SGA Model for Prediction in Cloud Environment
Authors: Krishnan Smitha , Prasanthi B.G
Published: July 2023

With virtual information, cloud computing has made applications available to users everywhere. Efficient asset workload forecasting could help the cloud achieve maximum resource utilisation. The effective utilization of resources and the reduction of datacentres power both depend heavily on load forecasting. The allocation of resources and task scheduling issues in clouds and virtualized systems are significantly impacted by CPU utilisation forecast. A resource manager uses utilisation projection to distribute workload between physical nodes, improving resource consumption effectiveness. When performing a virtual machine distribution job, a good estimation of CPU utilization enables the migration of one or more virtual servers, preventing the overflow of the real machineries. In a cloud system, scalability and flexibility are crucial characteristics. Predicting workload and demands would aid in optimal resource utilisation in a cloud setting. To improve allocation of resources and the effectiveness of the cloud service, workload assessment and future workload forecasting could be performed. The creation of an appropriate statistical method has begun. In this study, a simulation approach and a genetic algorithm were used to forecast workloads. In comparison to the earlier techniques, it is anticipated to produce results that are superior by having a lower error rate and higher forecasting reliability. The suggested method is examined utilizing statistics from the Bit brains datacentres. The study then analyses, summarises, and suggests future study paths in cloud environments.
EASND: Energy Adaptive Secure Neighbour Discovery Scheme for Wireless Sensor Networks
Authors: Mekala Sagar , A Mallareddy , Baswaraj D. , Joshi Jyothirmai , M Raghava
Published: July 2023

Wireless Sensor Network (WSN) is defined as a distributed system of networking, which is enabled with set of resource constrained sensors, thus attempt to providing a large set of capabilities and connectivity interferences. After deployment nodes in the network must automatically affected heterogeneity of framework and design framework steps, including obtaining knowledge of neighbor nodes for relaying information. The primary goal of the neighbor discovery process is reducing power consumption and enhancing the lifespan of sensor devices. The sensor devices incorporate with advanced multi-purpose protocols, and specifically communication models with the pre-eminent objective of WSN applications. This paper introduces the power and security aware neighbor discovery for WSNs in symmetric and asymmetric scenarios. We have used different of neighbor discovery protocols and security models to make the network as a realistic application dependent model. Finally, we conduct simulation to analyze the performance of the proposed EASND in terms of energy efficiency, collisions, and security. The node channel utilization is exceptionally elevated, and the energy consumption to the discovery of neighbor nodes will also be significantly minimized. Experimental results show that the proposed model has valid accomplishment.
BMSQABSE: Design of a Bioinspired Model to Improve Security & QoS Performance for Blockchain-Powered Attribute-based Searchable Encryption Applications
Authors: Bhave Roshni , Thakre Bhakti P. , Kamble Vijaya , Gogte Purva , Bhagat Dhananjay
Published: July 2023

Attribute-based searchable encryption (ABSE) is a sub-field of security models that allow intensive searching capabilities for cloud-based shared storage applications. ABSE Models require higher computational power, which limits their application to high-performance computing devices. Moreover, ABSE uses linear secret sharing scheme (LSSS), which requires larger storage when compared with traditional encryption models. To reduce computational complexity, and optimize storage cost, various researchers have proposed use of Machine Learning Models (MLMs), that assist in identification & removal of storage & computational redundancies. But most of these models use static reconfiguration, thus cannot be applied to large-scale deployments. To overcome this limitation, a novel combination of Grey Wolf Optimization (GWO) with Particle Swarm Optimization (PSO) model to improve Security & QoS performance for Blockchain-powered Attribute-based Searchable Encryption deployments is proposed in this text. The proposed model augments ABSE parameters to reduce its complexity and improve QoS performance under different real-time user request scenarios. It intelligently selects cyclic source groups with prime order & generator values to create bilinear maps that are used for ABSE operations. The PSO Model assists in generation of initial cyclic population, and verifies its security levels, QoS levels, and deployment costs under multiple real-time cloud scenarios. Based on this initial analysis, the GWO Model continuously tunes ABSE parameters in order to achieve better QoS & security performance levels via stochastic operations. The proposed BMSQABSE model was tested under different cloud configurations, and its performance was evaluated for healthcare deployments. Based on this evaluation, it was observed that the proposed model achieved 8.3% lower delay, with 4.9% lower energy consumption, 14.5% lower storage requirements when compared with standard ABSE models. It was able to mitigate Distributed Denial of Service (DDoS), Masquerading, Finney, and Sybil attacks, which assists in deploying the proposed model for QoS-aware highly secure deployments.
Evaluation of conus medullaris level in newborn infants
Authors: YILDIZ Bülent , TUNÇ Gaffari , SÖYLEMEZ Burçak
Published: July 2023

Purpose: Previous studies have reported that the conus medullaris (CM) is located between T12 and L2 in most adults, but no significant ascent has been observed during childhood. There is evidence that the normal position of the CM in an adult is acquired at birth in the majority of cases. Studies have shown that there are differences in CM levels in neonates. This situation causes problems for interventional procedures in the neonatal period. The aim of this study is to determine CM levels in preterm/term neonates using ultrasound (US).

Materials and Methods: Newborn infants (gestational age: 24–43 weeks) admitted to the neonatal intensive care unit between March 2020 and June 2021 were evaluated for CM levels by the postnatal US. Infants with central nervous system abnormalities, dysmorphic features, somatic or various genetic diseases, or their parent’s refusal to participate were excluded from the study.

Results: Of the 189 neonates infants included in our study, 85 (44.6%) were female, 104 (55.4%) were male, 139 (73.54%) were preterm (24–36 weeks), and 50 (26.46%) were term (37–42 weeks) neonates. As a result of the US performed on the first day of 189 neonates, CM levels, 31 (16.4%) were L1, 31 (16.4%) were L1-2, and 71 (37.6%) were L2. There is a strong correlation between birth weight and birth week (r 0.84). There is a negative relationship between birth weight and CM level (r -0,20), gestational age, and CM level (r -0,23).

Conclusion: Conus medullaris level was negatively correlated with gestational age and increased with advancing gestational age. In addition, the CM level shows a slower rise at 28-40 weeks of postmenstrual age and reaches the normal level (L1-L2) in the neonatal period, as in adults. Knowing the level of the CM in the newborn period will ensure that spinal procedures such as lumbar puncture to be applied to the spinal region can be performed safely.
Executive functions and psychiatric disorders in adults with iron deficiency anemia
Authors: YILMAZ Yavuz , TERZİ Hatice , TAŞOVA Burak
Published: July 2023

Purpose: The focus has been on the hematological complications of iron deficiency, while the nonhematological complications have been less studied. Its effects on cognitive functions were mostly investigated in children and adolescents. The purpose of this study is to compare the executive functioning of persons with iron deficiency anemia to healthy controls in order to determine whether they have any comorbid psychiatric disorders.

Materials and Methods: 42 patients with iron deficiency anemia and 44 healthy controls participated in this study. To investigate whether any psychiatric disorders existed, the individuals were given a Structured Clinical Interview for DSM-5 Clinician's Version. Executive functioning was assessed using the Stroop Test and the Number Sequence Learning Test.

Results: When compared to the control group, the IDA group took longer on average to complete parts 1–5 of the Stroop Test. There was no difference between the groups with regards to the results of number sequence learning test. Psychiatric illnesses were more common (43%) in the IDA group than they were in the control group (13.6%). The difference was significant when the groups were compared in terms of psychiatric disorders.

Conclusion: According to the study's findings, those with iron deficiency anemia have worse executive functioning scores than healthy controls and are more likely to have psychiatric disorders. An extensive assessment of the health consequences of iron deficiency anemia is extremely important.
Osteoma infiltrated by schwannoma in sinonasal region: radiologically masquerading as a malign tumor
Authors: SAYGİN Ismail , ÇAKIR Emel , ÇOBANOĞLU Ümit , AKKAYA Selçuk
Published: July 2023

Neoplasms in sinonasal cavity are dominated by epithelial type. Sinonasal osteomas are common, benign, slow-growing, often asymptomatic neoplasms occurring mainly in the frontal and ethmoid sinuses. Peripheral nevre sheath tumors are soft tissue neoplasms rarely encountered in the sinonasal region. Schwannoma is a benign peripheral nevre sheath tumor. Here, we presented co-occurence of osteoma and schwannoma. So far, osteoma infiltrated by schwannoma in sinonasal region is not reported in English literature. Additionally it was masquerading as malignant tumor radiologically. The pathologist should be aware of a second soft-tissue tumor that may accompanied the radiologically suspicious malignant bone lesions.
Development of the Engineering Design Process (EDP) on the Ability to Design Prototypes to Increase Natural Disaster Mitigation for Elementary Schools in Indonesia
Authors:   Universitas Riau, Indonesia, Putra M. Jaya Adi , Mahdum  , Mukaromah Anisa Noor , Natuna Daeng Ayub , Syaflita Dina , Suryana Dodi
Published: July 2023

Education is the most essential part in every aspect of providing the quality of human resources. Thus, one of the learning innovations to improve quality, especially for children, is the engineering design process. The engineering design process (EDP) is a set of processes that engineers use to solve an issue. The purpose of this study is to find out the of EDP on design prototypes of the elementary school. The application of knowledge and capability through EDP were also able to develop critical and creative thinking skills so that they can solve problems, collaborate, and communicate. The method adopted in this research is case study. Seventeen elementary students from four different schools in three different cities in province Riau, Indonesia, are selected as participants. Data are collected through interviews and analyzed using a grounded approach. Finding of this study EDP became an ability that could involve students in the learning space and students were also challenged to work collaboratively in groups that were guided by researchers. From the designs made by students, the level of ability to design student prototypes was dominated by the level of the developing stage even to the level of the continuous stage. The findings indicated that the activities using EDP were able to help students to experience real learning and find components that can be used to compound a tool and solve real problems. The findings also indicate the need to reform curriculum for teacher training programs through EDP to include matters like design prototypes.
Student Satisfaction Classification Algorithm Using the Minority Synthetic Oversampling Technique
Authors:   the Faculty of Engineering and Management of the National Technological University of South Lima, Lima, Peru, Chamorro-Atalaya Omar , Aldana-Trejo Florcita , Alvarado-Bravo Nestor , Nieves-Barreto Constantino , Aguilar-Loyaga Santiago , Farfán-Aguilar José , Torres-Quiroz Almintor , Riveros-Cuellar Alípio , Pérez-Samanamud Manuel , Pérez-Guevara Luciano
Published: July 2023

This study is based on the university students’ opinions on the social network Twitter, to learn the teaching performance in the context of virtual learning using sentiment analysis technique. However, to establishing the classification algorithm, an imbalance was evidenced in the amounts of opinions that qualify the teaching performance with the satisfied and dissatisfied class. Therefore, the objective of this investigation is to determine the improvement in the performance of the student satisfaction classification algorithm, based on the class balancing method from the application of the minority synthetic oversampling technique (SMOTE). From the methodological point of view, the research is a non-experimental design, applied type, and quantitative approach. The data was collected through the social network Twitter for fifteen weeks to a population defined by mechanical and electrical engineering students. After the application of the SMOTE data balancing technique, it was identified that the algorithm which presents the best performance is Logistic Regression. It was possible to identify that the impact of improvement of the algorithm turned out to be an average of 2.17% in the accuracy, 84.78% in precision, 42% in the Recall (Sensitivity) and 58.33% in the F1-score. Therefore, it is demonstrated that the algorithm classifies with high probability the opinions of the students.
The Study on a Model for Monitoring and Supervising the Ability to Face and Cope with Obstruction for Students Participating in Work-Based Learning (WBL)
Authors:   Faculty of Industrial Education and Technology, King Mongkut’s University of Technology Thonburi, Thailand, Jantorn Benjamaporn , Chanchalo Sumalee , Suksakulchai Surachai
Published: July 2023

The objectives of this research were 1) to synthesize and create a monitoring system model to develop the ability to face and cope with obstruction of interns in the Work-Based Learning (WBL) system; 2) to assess the suitability of the monitoring system to develop the ability to face and cope with obstruction of interns in the WBL system. The sample is five experts using a selective method of purposive sampling in evaluating a monitoring system model to develop the ability to face and cope with obstruction of the interns in the WBL system. From the results of the research, there was a monitoring system model to develop the ability to face and cope with obstruction of interns in the WBL system named the SP4D model. The results of the synthesized model evaluation showed that the most issue accepted by experts were 1) Component 2, Student Monitoring Process, Step 3 Promotion, and development of the ability to face and cope with obstruction, 2) Component 3, Cloud Computing system in Google Classroom for Adversity Quotient (AQ) development activities, and 3) Component 3, Cloud Computing system in Google Drive for data storage. The least acceptable issue by experts was Component 1, Defining the scope of users and students. The total synthesis was at the most suitable level (mean at 4.51, the standard deviation at 0.53) and experts agree that the synthesized model can be used appropriately.
Evaluation of Physical and Health Education Online Learning in Elementary Schools: PLS-SEM Approach
Authors:   the Department of Physical Education, Jakarta State University (UNJ), Indonesia, Rihatno Taufik , Nuraini Sri
Published: July 2023

During the COVID-19 pandemic, online learning in physical and health education encountered multiple barriers and resistance. Barriers faced in online learning include inadequate facilities and infrastructure, mastery of technology by teachers, and limited internet networks. So, to measure the achievement of PESH learning objectives, an evaluation process is needed. The Physical Education, Sport, and Health (PESH) quantitative survey research aims to evaluate the success of PESH online learning in elementary schools. It used random sampling technique and obtained a sample of 188 respondents in Yogyakarta. In addition, students, teachers, principals, and vice-principals in five elementary schools participated in the research respondents. The second-order partial least squares structural equation modeling (PLS-SEM) technique was used to test the structural model because of the complexity of the constructs and indicators, which consisting of 5 measurements, 13 aspects, 43 constructs, and 21 hypotheses. The evaluation of the measurement and structural models has met the cut-off values in this literature. Overall, each indicator can explain the variance of the success of online learning evaluation with an average of 88.821%. Each variable has a significant influence on the average success of learning outcomes. The overall recapitulation of the online learning evaluation results obtained >80% with the input variable obtaining an average of 90.359%. Student characteristics and facilities and infrastructure learning are the most dominant in the acquisition of learning evaluation achievements. The recommendation that researchers put forward is that schools should increase the provision of facilities and infrastructure and internet networks so that the implementation of technology and mastery of the material by teachers can be carried out better.
The Perception of Indonesian Millenial on Da’i: Knowledge, Presentation and Performance
Authors: Choirin Muhammad , Hadiyan Hadiyan , Suryana Anisa Maulita
Published: July 2023

As a generation which has a unique character, the millennial generation is often percieved as a generation that is fashionable, world-accessible, and priotitizes simplicity. This study examines the perception of the millennial generation on the performance of da’i, specifically regarding knowledge capacity, presentation methods, and appearance. In addition, this study also aims to measure their perception of global influence on religious life. The current study uses both qualitative and quantitative approaches to get the best result. The qualitative approach consists of literature review of previous research and in-depth interviews with experts and practitioners. While the quantitative approach is to use a single regression between the variables. The findings of this study state that demography, religiosity and knowledge have a significant influence on the preacher’s performance.
Da'wah Through Youtube in The Perspective of Millennial Society
Authors: Suriati Suriati , Faridah Faridah , Damayanti Dian
Published: July 2023

Many studies have been conducted on da'wah through YouTube, but the researchers in this study specifically analyzed the use of YouTube for preaching from the perspective of millennial society. This study is a type of descriptive research with a qualitative approach, data obtained through interviews and documentation of several millennial people who are considered representative in providing information related to research needs. The research findings show that people like to watch da'wah through YouTube and da'wah is delivered effectively, the advantages of YouTube in da'wah are in terms of audio-visual presentation of da'wah, flexible time considerations, and completeness of da'wah material delivered compared to da'wah through video on social media. Apart from the joy of being mad'u in participating in da'wah activities via YouTube, they also conveyed that there was a change in mindset, attitude and behavior after listening to the da'wah messages conveyed. This illustrates that the community has felt the benefits of using YouTube as a propaganda medium, such as in the preaching of Ustadz Adi Hidayat, K.H. Abdullah Gymnasitiar, Ustadz Abdul Shomad, Ustadzah Oki Setiana Dewi, Ustadzah Syifa Nurfadhillah who have quite a lot of followers and likes that there are up to thousands and positive comments in each of his studies.
Corporate Zakat in Perspective of Stakeholder Theory: A Case Study of Islamic Rural Banks
Authors: Riduwan Riduwan , Ilyas Hamim , Adha Mufti Alam
Published: July 2023

In Indonesia, potential sources of zakat are grouped into three parts: potential zakat from individual or family groups, potential zakat from companies/industry, and from the results of deposits of zakat funds stored in banks. This study analyzes corporate zakat from the stakeholder theory's perspective with primary and secondary data from Islamic rural banks in the Special Region of Yogyakarta. The data analysis used qualitative from interviews and quantitative descriptive approach from the company report. Conclusions are drawn by describing secondary data, which is deepened through interviews with the directors of Islamic rural banks and relating them to stakeholder theory. The results of this study indicate that corporate zakat is in line with stakeholder theory because it positively impacts the performance of Islamic rural banks in Yogyakarta. Meanwhile, the muamalah approach to corporate zakat law has opened space for ijtihad against zakat law. Another conclusion states that Islamic rural banks that run zakat will improve business performance because the social approach can maintain stronger business relationships.
Muhammadiyah and Nahdlatul Ulama Contribution to The Islamic Economics Development in Indonesia
Authors: Mas'udi Moh.
Published: July 2023

Muhammadiyah and Nahdlatul Ulama are the two pillars of the Islamic movement in Indonesia. Therefore, the discussion about Islam in Indonesia is only valid with both. Muhammadiyah represents the modernist Islamic movement. Meanwhile, Nahdlatul Ulama represents the traditionalist Islamic movement. The role of both in da'wah activities of Islam in the religious, educational, and social fields is authentic and felt by society. In the context of Islamic economics, both contribute to development in Indonesia. There is their second attempt to develop Islamic economics since the beginning founding. This is a qualitative study that uses the approach of history. The results show that Muhammadiyah and Nahdlatul Ulama have contributed to the Sharia economic development since before the independence, both in Islamic economic thought and practices. With the spirit of Al-Ma'un, the founder of Muhammadiyah, KHA Dahlan, has inspired Muhammadiyah members to activity economy Islamic philanthropy and remains preserved until the day. At the same time, KH Hasyim Asy'ari, as the founding father of Nahdlatul Ulama, initiated Nahdlatut Tujjar as an embryo for the birth of Nahdlatul Ulama. Both have contributed to developing a good Sharia economy internally and externally.
A review on prune belly syndrome
Authors: Shameem S. , Kameshwaran S. , Shanmugapriya K. , Saranya A. , Sathish K.P.
Published: July 2023

The trinity of cardinal symptoms that comprise Prune Belly Syndrome (PBS), an uncommon but severe congenital condition, include cryptorchidism, urinary tract dilatation, and flexibility of the abdominal wall musculature. In 1839, Frölich made the first mention of the prune belly condition. Osler gave the disorder its name in 1901; it relates to the wrinkly look of the abdomen brought on by the lack of muscle. Eagle-Barrett syndrome is another name for prune belly syndrome. Although aspiration pneumonia was identified as the immediate cause of death, the autopsy confirmed the PBS diagnosis.
A Educação Física e seus processos de trabalho nas Residências em Saúde no Estado do Ceará
Authors: Neto Joao Agostinho , Gonçalves Dutra Maria Carolina , Oliveira Nascimento Iasmim , Filgueira Leite Gerliane , Machado Ribeiro Bezerra Lis Maria , De Sousa Maria do Socorro
Published: July 2023

Essa é uma pesquisa de natureza qualitativa como parte de um estudo de dissertação de mestrado e teve como objetivo descrever os processos de trabalho e as possibilidades percebidas pelos profissionais de Educação Física ao se inserir nas residências em saúde no estado do Ceará. Trata-se de uma pesquisa de campo, onde o cenário da pesquisa foi formado por três instituições no Ceará que são as únicas que possuem em seus programas de residência a presença da educação física dentre as categorias profissionais. Participaram da pesquisa doze profissionais residentes do núcleo de educação física que concluíram a sua formação na residência no ano de 2019. Os profissionais foram convidados voluntariamente a participar de uma entrevista e relatar sobre os processos de trabalho em seu percurso formativo entre os anos 2018 e 2019 que estiveram na residência. Convencionou-se após a análise dos dados, a formação de duas categorias empíricas: “Locais de atuação” e “atividades desenvolvidas”. Os principais resultados apontam que a residência em saúde oportuniza ao profissional de educação física uma diversidade de vivências no contexto da intersetorialidade, das ferramentas de cuidado e do trabalho colaborativo. Com isso, as abordagens interprofissional e multiprofissional, vivenciadas pelos residentes têm o propósito de fortalecer os caminhos já trilhados e também de problematizar novas possibilidades de espaços e atividades para a categoria na saúde pública.
Vigilância popular em saúde: uma experiência durante a pandemia de COVID-19 nos territórios potiguara na Paraíba
Authors: Martins Chaves Vitória , Rodrigues da Silva Tanielson , Luderitz Hoefel Maria da Graça
Published: July 2023

Resumo: Objetivo: relatar a experiência de vigilância popular em saúde das Aldeias Indígenas Potiguara no estado da Paraíba. Método: pesquisa de cunho descritivo exploratório utilizando de entrevistas individuais semi estruturadas e diário de campo como instrumentos de pesquisa. Resultados e Discussões: Uma das estratégias adotadas para frear a Covid-19 nas Aldeias Indígenas Potiguara no estado da Paraíba foram às barreiras sanitárias, a partir da organização popular que configurou uma experiência exitosa de vigilância popular em saúde. As barreiras efetuavam o controle do deslocamento de pessoas nas terras indígenas de forma a restringir a entrada e saída de indígenas e não-indígenas visando assegurar a prevenção e promoção da saúde. Conclusão: Os indígenas Potiguara foram protagonistas e promoveram meios para proteger a vida e seu território. Através da experiência em vigilância popular em saúde foi possível refletir sobre os modelos hegemônicos da vigilância em saúde atual e nos desdobramentos que uma prática bem sucedida de vigilância pode contribuir para o senso de comunidade, consciência sobre o território e aprimoramento das ações de saúde.
Currículos inovadores na formação médica: a percepção dos estudantes sobre metodologias ativas de ensino-aprendizagem
Authors: Bastos Cruz Cavalcante Beatriz , Amorim Barreto Everton , De Miranda Avena Katia , Amaral de Brito Ana Paula , Vasconcelos de Sousa Gilmara
Published: July 2023

Resumo: Objetivo: Avaliar a percepção de estudantes de Medicina quanto ao emprego de currículos inovadores no seu processo de aprendizagem, analisando a interferência do perfil sociodemográfico e acadêmico. Métodos: Estudo transversal, realizado através de questionário virtual, estruturado, anônimo, de autopreenchimento, respondido por estudantes de Medicina em Salvador/Bahia. Além da percepção quanto ao uso de currículos inovadores, avaliou-se o perfil sociodemográfico e acadêmico. Resultados: Foram avaliados 253 estudantes de Medicina, com predomínio do sexo feminino (62,8%), da raça branca (54,9%), solteiros (88,1%), com idade de 23,9+4,9 anos, sem formação acadêmica prévia (79,1%). Os estudantes reconhecem que o emprego de currículos inovadores auxilia na consolidação do conhecimento (90,5%), principalmente por permitir uma vivência profissional precoce (90,5%), contribuir na capacidade de reflexão (92,9%), no desenvolvimento do raciocínio clínico (94,1%), na interação entre teoria e prática (90,9%) e proporcionar maior segurança quanto ao aprendizado (80,2%). Os aspectos sociodemográficos não interferiram nessas percepções, entretanto aspectos acadêmicos, como formação prévia e método tradicional na graduação anterior, associaram-se com menor grau de concordância acerca dos benefícios acadêmicos dos currículos inovadores. Conclusão: Os estudantes de Medicina reconhecem que as metodologias ativas contribuem para o processo de aprendizagem por proporcionar uma vivência profissional precoce e a articulação entre teoria e prática, estimulando a capacidade de reflexão e o raciocínio clínico.
Преимущества включения литературы в обучение английскому языку
Authors: Фурсина А.А.
Published: July 2023

В этой статье обсуждаются преимущества включения литературы в обучение английскому языку. Литература может помочь изучающим английский язык развить свои языковые навыки, культурную осведомленность, критическое мышление и творческие способности. Кроме того, использование художественных текстов может создать более увлекательный и интерактивный опыт обучения для учащихся. В этой статье приводятся примеры и доказательства, основанные на исследованиях, в поддержку использования литературы в обучении языку.
Анализ препятствий, мешающих студентам заниматься физическими упражнениями и спортом, и поиск способов их преодоления
Authors: Цику Д.А.
Published: July 2023

Данная научная статья анализирует препятствия, с которыми сталкиваются студенты при занятиях физическими упражнениями и спортом, такие как отсутствие времени, мотивации и информации, а также недоступность спортивных объектов. В статье представлены результаты исследования, выявленные препятствия и рекомендации по их преодолению. Физические упражнения и спорт имеют множество положительных эффектов на здоровье, включая снижение риска заболеваний сердечно-сосудистой системы, ожирения и депрессии. Цель данной работы - помочь студентам преодолеть препятствия и начать заниматься физическими упражнениями и спортом для поддержания своего здоровья. Данная тема актуальна в современном мире, исследуется научная литература по заданной проблеме, а также практический отечественный опыт.
Использование игр как фактор успешного взаимодействия учителя с учениками
Authors: Чотчаева М.К.
Published: July 2023

Важно помнить, что для многих учащихся единственный контакт с английским языком осуществляется через учителя, поэтому учителя играют важную роль в изучении английского языка. Из-за этой важной роли многие исследователи рассматривают их влияние на взаимодействия в классе в процессе обучения. Несмотря на то, что некоторые учителя рассматривают языковые игры как способ занять время или развлечься в классе, игры занимают особое место в любой программе обучения иностранному языку, поскольку они облегчают изучение иностранного языка, особенно для младших школьников.
Формирование коммуникативной компетенции в процессе обучения иностранному языку
Authors: Чотчаева М.К.
Published: July 2023

Формирование навыков коммуникативной компетенции при обучении иностранному языку является предметом дискуссий на протяжении долгого времени. Были представлены различные теории и методы изучения языка. Интерактивное обучение в рамках преподавания английского языка обеспечивает полноценное общение между учащимися и формирование навыков решения коммуникативных задач. Коммуникативная компетенция, определяемая как значимый компонент ключевых компетенций и результат современного образования, включает лингвистическую, дискурсивную, социолингвистическую и социокультурную компетенции, а также социально-личностный интерактивный компонент, коррелирующий с сотрудничеством учащегося
Организация работы по формированию духовно-нравственных качеств у младших школьников
Authors: Шублакова И.Х
Published: July 2023

Статья посвящена изучению организацию работы по формированию духовнонравственных качеств у младших школьников. Рассматривается на необходимость формирования в младшем школьном возрасте системы нравственных ценностей, моральных принципов, толерантности, уважению к окружающим, доброте, сочувствию.
Развитие лидерских компетенций в командах аспирантов: проблемы и решения
Authors: Махмутов Д.В.
Published: July 2023

В данной научной статье описывается развитие лидерских компетенций в команде аспирантов, проблемы, которые возникли на еѐ пути и их решения
Психоэмоциональное состояние в стрессовых ситуациях студентов Петрозаводского государственного университета
Authors: Степанова С.А. , Смирнова О.Е , Блажевич Л.Е
Published: July 2023

Цель статьи заключается в рассмотрении особенностей психоэмоционального состояния студентов в стрессовых ситуациях. Для анализа уровня стресса использовались «Шкала психологического стресса PSM 25» (адап. Н.Е. Водопьяновой), «Шкала оптимизма и активности AOS» (адап. Н.Е. Водопьяновой), опросник «Проактивное совладающее поведение» (PCI, адап. Старченковой Е.С.) и опросник эмоционального интеллекта «ЭмИн» (Д.В. Люсин). С помощью этих методов были выявлены общий уровень стресса, испытываемый студентами, регулярные недомогания и перепады настроения. Углубленное прочтение позволяет более полно выявить, что именно оказывает влияние на психоэмоциональное состояние студентов разных возрастных групп Петрозаводского государственного университета.
Особенности сформированности образа будущей профессии у бакалавров направления «психолого-педагогическое образование»
Authors: Черкасова Ю.А , Кондратова В.А
Published: July 2023

В статье поднимается проблема сформированности образа будущей профессии педагогапсихолога у студентов и еѐ актуальность, описываются результаты исследования
Аграрные реформы России
Authors: Каравацкий И.А., , Соломаха С.В.
Published: July 2023

Статья посвящена особенностям реформирования аграрной сферы в России, историческим особенностям реформирования, а также деятельность одного из известнейших реформаторов в аграрной сфере - Петра Столыпина.
Первая помощь пострадавшим
Authors: Семеняков Д.А., , Ефремова В.Н.
Published: July 2023

В статье представлена концепция неотложной медицинской помощи, которая определяется как система, организующая все аспекты ухода, оказываемого пациентам надо госпитальном этапе или вне стационара. Отмечено, что отличительной особенностью первой помощи является улучшение исходовтравм и других заболеваний, зависящихотвремени. Тем не менее, существует потребность в фактических данных для улучшения нашего понимания возможностей таких систем, а так же их сильных и слабых сторон и приоритетныхобластейдляулучшения в условиях нехватки ресурсов. Целью было разработать инструмент для оценки догоспитальной системы скорой медицинской помощи с использованием рамок системы здравоохранения Всемирной организации здравоохранения (ВОЗ). Поиск соответствующей литературы помогли определить переменные, описывающие возможности системы, результаты и цели до госпитальной скорой медицинской помощи. Они были организованы в соответствии с системой здравоохранения, и для сбора данных предлагается комплексный подход, включающий использование качественных методов информации от заинтересованных сторон, прямое наблюдение и обзор директивных документов.
Социальная работа в условиях глобализации: вызовы и перспективы
Authors: Хаджимурадова Т.Х.
Published: July 2023

Данная статья посвящена анализу влияния глобализации на социальную работу и ее вызовы и перспективы. Рассмотрены возможности, которые предоставляет глобализация для развития профессии социальной работы, такие как создание международных сетей и организаций и развитие программ обмена.
Диалектная основа одного из удмуртских переводов Евангелия от Луки начала XIX в.
Authors: Безенова М.П.
Published: July 2023

В статье рассматриваются фонетико-морфологические особенности одного из удмуртских переводов Евангелия от Луки начала XIX в. Источниковой базой исследования послужил корпус рукописного текста «Отъ Луки Святое Благовѣствованiе» на удмуртском языке, который хранится в Российском государственном историческом архиве. Цель исследования ‒ выявить диалектную основу письменного источника. В качестве основных методов работы выступили описательный и сопоставительный. В результате анализа в тексте рукописи были обнаружены диалектные особенности, характерные для говоров северного наречия удмуртского языка