bluuebunny/crossref_metadata_2025 huggingface dataset:
The Ease of Forming Motor Skills as an Indicator of the Level of Development of the Coordination Abilities of Pre-School Children
Authors:   University of Plovdiv “Paisii Hilendarski”, Shtereva Rositsa
Published: May 2024

The article presents an experimental study of the possibility of accepting the ease the formation of motor skills of children from 6 – 7 years of age as an indicator of the extend of development of their coordination abilities, a consequence of their play motor experience. The expert assessment method is used for diagnosis. The results of the process of the formation of two motor skills in two research groups are compared, and in the experimental group, a technological model of motor games was applied during the previous 4 years, as a result of which the children's coordination abilities were developed to a higher degree in comparison with the control. The dynamics of skill formation are analyzed according to the criteria: quality of performance, speed and economy in mastering the motor actions, durability of the developed skills, homogeneity of the results. The trends in the pace of skill formation are outlined. A variational analysis is performed on the recorded data. It is established that the ease of the process is an indicator of the degree of development of the coordination abilities of preschool children.
Digital Competence in Foreign Language Textbooks: Comparative Analysis of Language Learning Systems in English, German and Spanish
Authors:   Sofia University, Dimova Irena , Tsvetkov Plamen , Pavlov Mihal
Published: May 2024

The current article is aimed at examining the application of information and communication technologies in present-day foreign language learning systems in Bulgaria. It focuses on systems used in secondary education for teaching English, German and Spanish. The quantitative and qualitative analyses trace the establishment of a relationship between the development of digital competence and foreign language learning. The conclusions of this article point to a reciprocal and complementary relationship between the development of digital and language skills.
Leadership in the Context of Digitalization of Education – through the Prism of Government Documents and Scientific Research
Authors:   Sofia University, Delibaltova Vasya
Published: May 2024

The problem field in which this article is oriented is delimited, on the one hand, from digitalization in education as necessity and benefit, and on the other hand, leadership as a role and function. At the intersection between them, the main research question is brought out – to what extent the relationship between leadership and digitalization has been stated, sought and research in the Bulgarian educational policy and in research. The thesis which is defended is about the need to create competency models of leadership in different context.
Digital Learning and its Design in the Context of Mass Digitization
Authors:   Sofia University, Tareva Ralitsa
Published: May 2024

Mass digitization and high-technological advances have transformed the educational landscape and the ways people learn. In this context, the article explores the key digital learning trends that shape its intricate and diverse nature and contribute to the transition towards more complex design, aiming to guide professionals in the field who seek to provide engaging learning experiences for their learners. While many of these trends have emerged in the past, today they resurge with new impact.
Quality of service of accommodation establishments as a factor in tourism competitiveness
Authors: Apaza-Panca Cynthia Milagros , Ramos Karla Stefani Jerusalen Canova , Ramos Anthony Paul Tavara , Saico Cristobal Rufino Yapuchura , Apaza-Apaza Silverio
Published: May 2024

This study examines the quality of service provided by accommodation establishments as a factor in tourism’s competitiveness. The new application of the concept of quality is determined by the customer's perception, interests, and expectations, and quality is a competitive factor that will lead to full customer satisfaction. The purpose of the study was to determine the service quality of lodging establishments based on guests' perceptions of tangible elements such as reliability, responsiveness, safety, and empathy as factors of tourism competitiveness in northern Peru. The study had a quantitative approach with a descriptive, non-experimental, cross-sectional design. A non-probabilistic convenience and intentional sampling method was chosen, in which 14 lodging establishments participated. The modified SERVPERF service quality measurement scale was used. The tangible element dimension is perceived from the establishment's facilities and the staff's appearance. Reliability with the promise of service at the established time and the predisposition to solve problems. Responsiveness is perceived in terms of speed of service and the ability to respond to customer needs. Security is perceived in terms of trust, discretion, and respect for guests' privacy, as well as in the transactions they carry out. Finally, empathy in the personalization of service and friendliness. The results show positive perceptions in the five dimensions of the SERVPERF model, concluding that the level of service quality is regular in lodging establishments based on the guest's perception. An important fact to consider is that between 20% and 30% of the respondents' answers are neutral, showing aspects to be improved, such as the use of attractive materials, personalized attention, and guest satisfaction.
Avaliação de ansiedade, estresse e depressão em profissionais de saúde que atuam em ambientes de unidades de terapia intensiva
Authors: Bombarda Fabio , Lima Luiz Claudio de Andrades , Siqueira Júnior Antonio Carlos
Published: May 2024

A notável complexidade multidimensional dos ambientes críticos hospitalares detém potencial ampliador de estresse, ansiedade e depressão que podem gerar redução da qualidade de vida e da performance laboral. Médicos e equipe de enfermagem compõem a maior parte da força de trabalho envolvido nas unidades de terapia intensiva (UTI) tendo que enfrentar e se adaptar às grandes exigências de natureza psíquica, física e social existentes em seu ambiente de trabalho muitas vezes em paralelo à processos de ensino-aprendizagem. Avaliamos os níveis de estresse, ansiedade e depressão dos médicos, enfermeiros e técnicos de enfermagem submetidos à exposição prolongada de trabalho em ambientes de UTI em um hospital geral de grande porte através da aplicação do escore DASS-21 correlacionado à aspectos biopsicossociais com mensuração da circunferência da cintura em um estudo transversal de abordagem quantitativa e descritiva com amostra de 260 profissionais lotados em 6 unidades de terapia intensiva dos quais 100 participaram atendendo aos critérios de inclusão do estudo. Concluímos que a maioria apresentou sintomas sugestivos de depressão sendo 25% leves, 20% moderados e 10% graves; quanto à ansiedade, 66% tiveram índices acima do normal e com relação ao estresse, 26% tinham índices sugestivos de sintomas graves. O tabagismo teve baixa prevalência e a obesidade abdominal atingiu 27% correlacionada positivamente com ansiedade, idade e tempo de formação. O estudo destaca a necessidade urgente de políticas e intervenções voltadas para a saúde mental desses profissionais, considerando os desafios específicos enfrentados em ambientes críticos, especialmente durante e após a pandemia. Além disso, enfatiza a importância de abordar fatores como estresse, consumo de álcool e obesidade abdominal para promover o bem-estar e a saúde integral desses profissionais de saúde.​
Analysis of The Influence Between Mining, Agriculture and Processed Product Exports on Indonesia's Sales Development in International Trade in the Time Frame 2019-2022
Authors: Amalia Renata Anggraeni  , Sigit Puji Winarko  , Erna Puspita
Published: May 2024

Exports are one of the international trade activities that provide benefits to Indonesia, including capital transactions, employment, and foreign exchange reserves. There are 2 types of exports, namely oil and gas and non-oil and gas exports. The value of non-oil and gas exports tends to be higher than oil and gas exports. So this research focuses on three non-oil and gas sectors, which consist of mining, agriculture, and processing industry (processed products). The purpose of this study is to determine the effect of mining, agriculture, and processed product exports on Indonesia's sales in international trade in the 2019-2022 timeframe. This research uses a quantitative approach, and a multiple linear regression analysis model with the IBM SPSS 22 application. The research data comes from the Central Bureau of Statistics, the Ministry of Trade, and related agencies. The variables used include 3 independent variables and 1 dependent variable. The independent variables are mining exports (X1) with the commodities used are coal, copper, lignite, iron and steel, agricultural exports (X2), and exports of processed products (X3), and Indonesia's sales as the dependent variable (Y). Based on the results of the study, partially shows that mining exports, and processed products have a significant positive effect on Indonesian sales. While agricultural exports (X2) have no effect on Indonesian sales (Y).
Proposed Financial Education Program for Selected Rice Farmers in The Municipality of Bongabong
Authors: Melendres Jared
Published: May 2024

ABSTRACT
Purpose – The study determined the relationship of their profile, level of financial literacy, and extent of financial literacy practices to the level of financial standing of the selected rice farmers in Municipality of Bongabong. Methodology/approach – The study surveyed 84 selected rice farmers in Municipality of Bongabong. The study used descriptive-correlational research design, and percentage, weighted mean, and multiple regression for the treatment of data. A survey questionnaire, interview and focus group discussion were made in data gathering. Findings – The study revealed that selected rice farmers have remarkably high levels of financial literacy in terms of budgeting, savings, and debt management. Also, the selected rice farmers have strong financial position in terms of income, indicating that rice farming and their other sources of income generate a lot of money. However, it was found to be low in terms of social security, financial risk management, and investing. Moreover, their ability to cope with farming and household expenses, as well as savings, are limited. The study concluded that income and financial literacy knowledge in terms of borrowing had a positive influence on rice farmers' financial standing; thus, increased income generation and financial knowledge are essential to sound financial well-being. Novelty/value – Based on the findings, the researcher proposed a financial education program tailored to the needs and circumstances of rice farmers. With this, issues in financial constraints of the rice farmers could be addressed through the community extension focused on financial education.
Organizational Performance Improvement Strategies Through Organizational Learning and Employee Empowerment: Organizational Commitment as Mediation
Authors: Imam Sabferrial Fernando , Riyanto Setyo , Santoso Sugeng , Ramli Yanto
Published: May 2024

Purpose – Organizational performance is heavily influenced by human resources in government administration, including resource allocation for individual work in all organizations. Organizational performance can be improved by ensuring that each level in the organization meets the job requirements and has a clear plan to support the achievement of organizational goals.
Methodology/approach – This research uses quantitative research and uses structural equation modeling analysis (SEM) with Partial Least Squares (PLS) software. The study has a population of 50 officials who support the planning and performance measurement of the regional government unit of the province of Banten.
Findings – The result is that learning organization has a direct impact on organizational commitment, while learning organization has no impact on organizational performance. Employee empowerment affects organizational commitment and organizational performance. Organizational commitment influences organizational performance. Organizational commitment does not mediate between learning organization and organizational performance, but may mediate between employee empowerment and organizational performance.
Novelty/value – Learning organization and employee empowerment promote sustainable improvement, innovation, and adaptability, and empower employees to make the right decisions and contribute to organizational goals. It fosters commitment, emotional attachment, and productivity, enabling organizations to adapt and maintain competitive advantage.
درجة ممارسة مديري المدارس الخاصة في قصبة إربد للمهارات الإدارية الناعمة من وجهة نظر المعلمين فيها
Authors: Ibrahem Alaa
Published: May 2024

هدفت هذه الدراسة إلى التعرف على درجة ممارسة مديري المدارس الخاصة في قصبة إربد للمهارات الإدارية الناعمة من وجهة نظر المعلمين فيها، استخدمت الباحثة المنهج الوصفي، ولتحقيق هدف الدراسة تم تطوير استبانة بالاعتماد على الأدب النظري والدراسات السابقة، تكون مجتمع الدراسة من (2260) معلماً ومعلمة، وتكونت عينة الدراسة من (327) معلماً ومعلمة تم اختيارهم بالطريقة العشوائية البسيطة، أظهرت النتائج أن درجة ممارسة مديري المدارس الخاصة في قصبة إربد للمهارات الإدارية الناعمة جاءت بدرجة كبيرة، كما أظهرت النتائج وجود فروق ذات دلالة إحصائية تعزى لأثر الجنس وجاءت الفروق لصالح الإناث، ووجود فروق تعزى لأثر المؤهل العلمي وجاءت الفروق لصالح فئة البكالوريوس، ووجود فروق ذات دلالة إحصائية تعزى لمتغير سنوات الخبرة وجاءت الفروق لصالح فئة أقل من (5) سنوات.
القدرة التنبؤية لمعدل امتحان الثانوية العامة وتحصيل الطلبة في امتحان المستوى الجامعي
Authors: طعامنة محمد
Published: May 2024

هدفت هذه الدراسة التعرف إلى القدرة التنبؤية لمعدل امتحان الثانوية العامة في تحصيل الطلبة في امتحان المستوى الجامعي، والتعرف إلى الفروق في القدرة التنبؤية لمعدل امتحان الثانوية العامة وتحصيل الطلبة في امتحان المستوى الجامعي في ضوء متغيرات الجنس (ذكر، أنثى)، والكلية (علمية، إن?D8?)، وقد تكونت عينة الدراسة من (220) طالبًا و(380) طالبة من طلبة السنة الأولى في مرحلة البكالوريوس في جامعة عجلون الوطنية، ولتحقيق أهداف الدراسة تم جمع البيانات من دائرة القبول والتسجيل في الجامعة في الفصل الأول من العام الجامعي 2021-2022. وقد اتبعت الدراسة المنهج الوصفي التحليلي، وأشارت النتائج إلى وجود أثر دال إحصائيًا لمعدل الطالب في الثانوية العامة وأنّ الامتحان يفسر ما نسبته (16.5%) من نجاح الطالب في امتحان المستوى الجامعي، كما أظهرت النتائج عدم وجود فروق ذات دلالة إحصائية عند مستوى الدلالة (0.05)=α في القدرة ‏التنبؤية لمعدل الطالب في الثانوية العامة ونجاحه في امتحان المستوى الجامعي تعزى لمتغير الجنس.
الكلمات المفتاحية: القدرة التنبؤية، طلبة الثانوية العامة، امتحان المستوى.
أثر التدقيق المستمر في تبني الأساليب الإدارية الحديثة في الشركات الصناعية المساهمة العامة الأردنية
Authors: السعايده حارث
Published: May 2024

دفت الدراسة إلى التعرف على أثر التدقيق المستمر في تبني أساليب المحاسبة الإدارية الحديثة في الشركات الصناعية المساهمة العامة الأردنية، ولتحقيق هدف الدراسة اعتمد الباحث المنهج الوصفي التحليلي، وتكون مجتمع الدراسة من الشركات الصناعية المساهمة العامة الأردنية جميعها ضمن المستويات الإدارية المختلفة والبالغ عددهم (53)، تم اختيار عينة عشوائية منهم بواقع (42) مفردة، وزعت عليهم أداة الدراسة (الاستبانه)، وتم معالجتها وتحليلها باستخدام الأساليب الاحصائية وبالاستناد إلى برمجية SPSS. توصلت الدراسة إلى مجموعة من النتائج أهمها: وجود أثر ذو دلالة احصائية عند مستوى دلالة (α≤0.05) للتدقيق المستمر بأبعاده (عمليات التدقيق المستمرة في الوقت الحقيقي، نماذج التدقيق الإستباقية، الأتمتة، طبيعة وتوقيت ومدى التدقيق) في تبني أساليب المحاسبة الإدارية الحديثة بأبعادها مجتمعة (المحاسبة الرشيقة ونظام التكاليف المبني على الأنشطة الموجهة بالوقت وبطاقة الأداء المتوازن) في الشركات الصناعية المساهمة العامة الأردنية. واقترحت الدراسة بضرورة تبني أساليب المحاسبة الإدارية الحديثة في الشركات الصناعية المساهمة العامة الأردنية وتعزيز تطبيق أبعاد التدقيق المستمر.
مستوى قوة الأنا وعلاقتها بالرضا الحياتي لدى عينة من اللاجئات السوريات
Authors: Asad Faten
Published: May 2024

هدفت الدراسة الحالية للتعرف على مستوى قوة الأنا وعلاقته بالرضا الحياتي لدى عينة من اللاجئات السوريات، كما هدفت للتعرف على طبيعة العلاقة بين قوة الأنا والرضا الحياتي، وتم استخدام المنهج الوصفي الارتباطي التحليلي لمناسبته لهدف الدراسة. كما تم تطوير اداتي الدراسة من خلال الباحثة، وبعد التحقق من الخصائص السيكو مترية للمقياسيين تم تطبيق العينة المتاحة التي بلغت (214) لاجئة المسجلات بصفة رسمية لدى المنظمات الرسمية.
          حيث أشارت نتائج الدراسة أن مستوى قوة الأنا والرضا الحياتي جاء بمستوى مرتفع وأن هناك علاقة ارتباطية دالة احصائيا بين قوة الأنا والرضا الحياتي .
Modelling an Improved Swarm Optimizer and Boosted Quantile Estimator For Malicious Flow Monitoring And Prediction In Network
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India, Moulana Moulana ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India, Mohammed Moulana
Published: May 2024

For a long time, malware has posed a significant risk to computer system security. The effectiveness of conventional detection techniques based on static and dynamic analysis is restricted due to the quick advancement of anti-detection technologies. In recent years, AI-based malware detection has increasingly been employed to combat malware due to its improved predictive ability. Unfortunately, because malware may be so diverse, it can be challenging to extract features from it, which makes using AI for malware detection ineffective. A malware classifier based on an Improved Salp Swarm optimization for feature selection and a Boosted tree with Conditional Quantile Estimation (ISSO-BCQE) is developed to adapt different malware properties to solve the problem. Specifically, the malware code is extracted, and the feature sequence is generated into a boosting tree where the feature map of the node is extracted using BCQE, where a boosting network is used to design a classifier and the method's performance is finally analyzed and compared. The results show that our model works better than other approaches regarding FPR and accuracy. It also shows that the method beats current methods with the highest accuracy of 99.6% in most detecting circumstances. It is also stable in handling malware growth and evolution.
Heterogeneous Wireless Sensor Network Design with Optimal Energy Conservation and Security through Efficient Routing Algorithm
Authors:   Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore, India, D. D. ,   Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore, India, Santhosh R.
Published: May 2024

A heterogeneous wireless sensor network (H-WSN) comprises multiple sensor nodes having varied abilities, like diverse processing power and sensing range. H-WSN deployment and topology control seem to be more difficult than homogeneous WSNs. Research on H-WSNs has increased in the last few years to improve real-time sensor networks' reliability and deliver better networking services than a homogenous WSN does. When it comes to H-WSN's energy consumption and security, the major problem remains the efficient routing process. To that end, this research aims at demonstrating how an efficient routing algorithm of hierarchical H-WSN can greatly enhance the network's performance. It is important to note that the nodes' capabilities mostly determine the suitability of a given routing algorithm. Hence, the H-WSN design issues for routing in a heterogeneous environment are discussed in this paper. This research designs an Optimal Energy Conservation and Security-aware Routing Algorithm (OECS-RA) for H-WSN using clustering and a secure-hop selection scheme. In this proposed model, the optimal cluster head selection and routing have been found through various computational stages based on the energy conservation of each sensor node. It further secures the transmission by selecting the secured node with credential factor computation and comparing each hop of the optimal route. The MATLAB simulation scenario finds the significant performance of the routing mechanism with security compared to existing models. The proposed OECS-RA gives highly recognizable throughput, lifetime, energy efficiency, and reliability. With these results, this proposed algorithm is suggested for real-time implementation in the medical industry, transportation, education, business, etc.
Prediction of Skin Lesions Using Integrated Multi-Layered Network Model with Baseline Learning Approaches
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India, Shaik Shaik ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India, Razia Shaik
Published: May 2024

Skin cancer has become more common in recent decades, raising severe concerns about world health. Creating an automated system to distinguish between benign and malignant images is challenging because of the subtle variations in how skin lesions appear. This study introduces Computer-Aided Diagnosis (CAD) system that offers high classification accuracy while maintaining low computing complexity for categorizing skin lesions. The system incorporates a pre-processing stage that uses morphological filtering to remove hair and artefacts. With the least minimum of human interaction, deep learning techniques are employed to separate skin lesions automatically. Image processing methods are currently being utilized to investigate the automated implementation of the prediction criteria for distinguishing between benign and malignant melanoma lesions. Various pre-trained convolutional neural networks (CNNs) with multi-layered (ML-CNN) are under examination for the classification of skin lesions as either benign or malignant. The best performance is achieved when RF, k-NN and XGBoost are combined, according to average 5-fold cross-validation findings. The outcomes also demonstrate that data augmentation works better than acquiring novel images for training and testing purposes. The experiment results show that the suggested diagnostic framework performs better than existing methods when used on actual clinical skin lesions, with accuracy at 97.5%, F1-score at 91.3%, precision at 96.5%, sensitivity at 89.2% and specificity at 96.7%. It also takes 2.6 seconds to complete with the MNIST dataset and accuracy at 98.2%, F1-score at 92.5%, precision at 98.4%, sensitivity at 92.3% and specificity of 97.2% with the ISIC dataset. This indicates that medical professionals can benefit from using the suggested framework to classify various skin lesions.
Examining the Application of a Similar Problem-Based Learning Procedure in Teacher Education and Engineering Education Programs
Authors: Turhan Burcu , Kirkgöz Yasemin
Published: May 2024

This multiple case study aims to describe how Turkish students in English Language Teaching (ELT) and Electrical-Electronics Engineering Program (EEP) conceive of Problem-based Learning (PBL), and how they experience their studies within a PBL-oriented curriculum. With the inclusion of these two cases into the study, the rationale is to represent two different educational perspectives and to obtain in-depth, extensive, and comparable data. The participants from the ELT and EEP were first-year students who pursued courses in English, which is taught as a foreign language in Turkiye. During one semester, the data were collected through open-ended questionnaires and reflection reports, both of which were analyzed qualitatively with an interpretative phenomenological approach. The results revealed commonalities as well as differences in how students in these two comparable programs perceived and experienced PBL. Commonalities were many in number and involved positive perceptions along with beneficial experiences of PBL. Yet, differences only stemmed from the number of frequencies of some similar issues raised by both groups of students. The most eye-catching difference was that the EEP students emphasized the anticipated benefits of PBL less frequently than the ELT students did. However, at the end of the process, the EEP students proposed benefits gained from PBL more frequently.
Bedarf an Myopie-Management in Deutschland
Authors: Ohlendorf Arne , Barraza-Berna Maria Jose , Böck-Maier Christina , Sanz Diez Pablo , Kratzer Timo , Wahl Siegfried
Published: May 2024

Purpose: The increasing prevalence of myopia, particularly in Southeast Asia, and the predicted increase of the prevalence of myopia in Western countries mean that more children will benefit from myopia management. The current study evaluated by retrospectively analyzing electronic health records from eye health care practices in Germany how many children receiving single vision correction showed an annual myopia progression that indicates the need of myopia management (MM). Material and Methods: The Euronet database with a total data set of > 1 million orders from the years 2000 to 2020 served as the basis for the present analysis. The dataset was filtered by age (6 - 14 years), refractive errors and the presence of longitudinal order data (baseline and second visit after 11 - 24 months, n = 64,825). First, the database was filtered to only include children with a myopic refraction of the right eye (in terms of the SE) of −0.5 D or below (n = 52,936). Next, the database was divided into children with an annual progression of the SE of ≤ −0.5 D (as a criterion for the need of MM, n = 25,432) and children with an annual progression of > −0.50 D (n = 27,504), respectively. The number of children that require MM per shop per year was evaluated and the groups were further characterized with regards to the distribution of baseline SE and SE progression. Results: The analysis revealed that there are children of all ages who require myopia management, while their number increases with age, reaching a maximum at 10 to 11 years and declining afterwards (60 % of all children at age 7 and 30 % of all children at age 14, respectively). Children who have an early onset and high progression have baseline SE of around −1.50 D to −1.75 D and a second prescription SE of around −3.00 D. In contrast, children with later onset and lower progression have a similar baseline SE (average −1.62 D) but develop a second prescription SE of only around −2.00 D. Conclusion: Awareness of myopia, its progression and its potential impact on eye health needs to be raised in Germany. Even though the absolute number of children requiring myopia management is still rather low compared to other regions, the baseline refraction of myopic children is already very high. It is important to note that children who require myopia management benefit from efficient treatment options.
Exploring Helicobacter pylori Infection Rates and Associated Risk Factors in Dyspeptic Individuals from Brack Al-Shati, Southern Libya"
Authors: Alajwad Aisha , Shahlol Aisha , Nami Abdurrazag
Published: May 2024

Helicobacter pylori, sometimes known as H. pylori, is the most prevalent bacterium worldwide; it colonizes the stomachs of people on the planet, and the incidence of the disease is 85–90% in underdeveloped nations. The pathogenicity of bacteria varies according to the type of strain and the virulence factors it carries, such as the cytotoxin-related gene cagA, in addition to risk factors related to the host and environment. Due to the absence of data about the seroprevalence of antibodies to H. pylori in patients with dyspepsia in Libya in general and in the south in particular, the study aimed to assess the prevalence of H. pylori infection and its risk factors in Brack Al-Shati which is located in the Southwest of Libya. The study included 100 serum samples from dyspeptic patients whose ages varied in age from 18 to 72, with an average of 37.27 ± 1.515. All samples were examined using enzyme-linked immunosorbent assays (ELISA) to detect the presence of IgG antibodies against the CagA protein and H. pylori of the bacteria. The findings indicated that the rate of infection with H.pylori was 73% of the total patient samples, and 68.2% of the samples were positive for the CagA protein. Taking into account the frequency of CagA-positive strains and the seroprevalence of H. pylori in dyspeptic patients, we recommend paying attention to eradicating the bacteria through treatment, especially when more than one risk factor is present.
Analisis Pengelolaan Keuangan pada Yayasan
Authors: Pratiwi Riri , Adda Harnida Wahyuni , Anisah Anisah , Evrianti Hesti
Published: May 2024

Pengelolaan keuangan dibeberapa yayasan menunjukan hasil yang beragam. Undang-Undang Nomor 16 Tahun 2001 tentang yayasan telah diubah dengan Undang-Undang Nomor 28 Tahun 2004 tentang mengatur yayasan. Tujuan dari Undang-Undang ini untuk meningkatkan keamanan dan ketertiban hukum serta meningkatkan pemahaman masyarakat tentang yayasan sehingga dapat kembali menjalankan fungsinya sebagai pranata hukum untuk mencapai tujuan tertentu dibidang sosial, keagamaan, dan kemanusiaan. Penelitian ini mengidentifikasi pengelolaan keuangan meliputi perencanaan, pelaksanaan, penatausahaan, pelaporan atau pertanggungjawaban. Metode yang digunakan adalah metode deskriptif-kualitatif. Teknik pengumpulan data yang digunakan adalah wawancara, yaitu sesi Tanya jawab dan dialog dengan informan. Untuk memastikan fokus wawancara. Selain teknik wawancara, juga digunakan teknik observasi dan dokumentasi. Data observasi ini untuk  melengkapi data wawancara. Selanjutnya metode dokumentasi mengkaji dokumen-dokumen yang berkaitan dengan focus penelitian. Hasil berdasarkan penelitian menyimpulkan: 1) proses pengelolaan keuangan yang terstruktur, dimulai dari tahap perencanaan, pelaksanaan pencarian dana, penatausahaan, hingga tahap pelaporan atau pertanggung jawaban ke mitra atau donator. 2) dalam tahap perencanaan, yayasan membagi perencanaan keuangan menjadi perencanaan operasional dan perencanaan program. 3) pelaksanaan pencarian dana dilakukan ketika adanya kegiatan yang direncanakan, dengan metode pengumpulan dananya melibatkan berbagai sumber. 4) mekanisme pelaporan atau pertanggungjawaban kepada mitra atau donator dilakukan melalui penyusunan laporan pelaksanaan kegiatan yang dikumpulkan oleh bendahara.
Pemberdayaan UMKM Melalui Pemahaman Pemahaman Literasi Digital untuk Meningkatkan Derajat Kesehatan Masyarakat di Dunia Sayur Kota Banjarbaru
Authors: As-Syahri Hidayatullah , Yunarti Azmi , Hasymi Liana Fitriani , Hadarani Muhammad
Published: May 2024

Di era digital yang terus berkembang, pemberdayaan Usaha Mikro, Kecil, dan Menengah (UMKM) melalui literasi digital menjadi prioritas utama pemerintah. Pemahaman literasi digital membantu UMKM dalam berbagai aspek bisnis antara lain kemudahan pembuatan izin berusaha (NIB), izin PIRT (Pangan Industri Rumah Tangga), sertifikasi halal sampai pemanfaatan digital marketing sebagai sarana dalam merancang strategi pemasaran yang efektif untuk meningkatkan penjualan produk. Program Pemberdayaan Masyarakat (PKM) Universitas Borneo Lestari melalui metode sosialisasi, pelatihan dan pendampingan memberikan manfaat besar, terbukti dengan lebih dari 95% pelaku UMKM di Dunia Sayur Banjarbaru memahami materi setelah pelaksanaan PKM. Selain itu, terjadi peningkatan omset penjualan rata-rata sebesar 35% setelah dua bulan pelatihan. Saran untuk perbaikan mencakup peningkatan intensitas kegiatan PKM, mengingat tingginya kebutuhan pemahaman terhadap kemajuan ekonomi global, selain itu Dinas Koperasi dan UMKM Kota Banjarbaru harus terus mendampingi dan memantau UMKM secara konsisten dalam penerapan teknologi digital, mendukung pertumbuhan dan keberhasilan usaha yang dijalankan.
Implikasi Hukum Penerapan Restorative Justice pada Tahap Penuntutan Perkara Tindak Pidana Pencurian
Authors: Juventus Boniek , Tanjung Andry Syafrizal , Ismaidar Ismaidar
Published: May 2024

Penelitian ini bertujuan untuk mengkaji Implikasi hukum dari penerapan Restorative Justice pada tahap penuntutan perkara tindak pidana pencurian. Penelitian ini dimulai dengan mengidentifikasi latar belakang masalah yang meliputi tantangan-tantangan yang dihadapi sistem peradilan pidana konvensional dalam menangani tindak pidana pencurian, khususnya berkaitan dengan proses penuntutan. Dalam pendekatan metodologis, penelitian ini menggunakan metode penelitian hukum normatif yang mengkombinasikan analisis dokumen, peraturan perundang-undangan, dan literatur yang relevan untuk memahami kerangka hukum Restorative Justice dan Implikasinya dalam konteks penuntutan tindak pidana pencurian. Hasil penelitian menunjukkan bahwa penerapan Restorative Justice pada tahap penuntutan memberikan sejumlah Implikasi hukum yang signifikan. Di antaranya adalah peningkatan efektivitas penyelesaian perkara dengan cara yang lebih humanis, pemulihan hubungan antara pelaku dan korban, serta reintegrasi sosial pelaku ke dalam masyarakat. Namun, penelitian ini juga mengidentifikasi beberapa tantangan, termasuk kebutuhan akan perubahan dalam peraturan perundang-undangan yang ada, serta perlunya peningkatan kapasitas dan pemahaman para pemangku kebijakan dan praktisi hukum tentang prinsip dan praktik Restorative Justice. Berdasarkan temuan tersebut, penelitian ini merekomendasikan pengembangan kerangka hukum yang lebih mendukung terhadap penerapan Restorative Justice dalam sistem peradilan pidana, termasuk reformasi peraturan perundang-undangan untuk mengakomodir pendekatan Restorative Justice pada tahap penuntutan.
Pengaruh Penempatan Kerja, Karakteristik Individu dan Pengembangan Karir terhadap Kinerja Karyawan pada PT. Citra Sedayuh Denpasar
Authors: Tahu Gregorius Palus , Tristan I Gede Agus , Gunadi I Gusti Ngurah Bagus
Published: May 2024

Peningkatan kinerja karyawan bukanlah hal yang mudah dilakukan, adanya beberapa faktor penghambat pada peningkatan karyawan seperti halnya penempatan kerja karyawan, karakteristik individu dan pengembangan karir. Teori yang digunakan dalam penelitian ini adalah teori atribusi. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh penempatan kerja, karakteristik individu dan pengembangan karir terhadap kinerja karyawan pada PT. Citra Sedayuh Denpasar. Populasi dan sampel dalam penelitian ini yaitu karyawan PT. Citra Sedayuh Denpasar dengan jumlah 39 karyawan. Pengumpulan data dilakukan dengan metode wawancara, kuisioner. Teknik analisis yang digunakan adalah analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa penempatan kerja berpengaruh positif dan signifikan terhadap kinerja karyawan pada PT. Citra Sedayuh Denpasar, karakteristik individu berpengaruh positif dan signifikan terhadap kinerja karyawan pada PT. Citra Sedayuh Denpasar dan pengembangan karir berpengaruh positif dan signifikan terhadap kinerja karyawan pada PT. Citra Sedayuh Denpasar.
Troponin I, Hyperlipidemia and Obesity as Predictor of Cardiovascular Complications: A Cross Sectional Study
Authors: Haq Zainab , Zaidi Syed Usama Shayan , Shahid Muhammad Nauman , Munir Maria , Butt Tahreem Waheed , Yousuf Nawal , Shahbaz Muhammad Nasir
Published: May 2024

High levels of Troponin I, cholesterol, triglycerides, Low Density Lipoprotein (LDL), High Density Lipoprotein (HDL) and Body Mass Index (BMI) are predictor of cardiac complications. Objective: To investigate the predictive efficacy of Troponin I, BMI, and lipid profiles in detecting cardiovascular problems. Methods: 300 male and female individuals were selected for current study. 100 normal individuals were in Control Group A, while 100 participants were placed in Group B all the individuals of Group B have the indications of different cardiac medical complications. BMI, systolic, diastolic blood pressure, Troponin I, cholesterol, triglycerides, LDL, HDL levels were measured respectively. Results: In present study BMI, systolic blood pressure, diastolic blood pressure, Troponin I, cholesterol, triglycerides, LDL, HDL blood serum levels of male and female in Group A and Group B were measured, the comparative analysis of above biomarkers showed a significant p-Value ≤ 0.05 change (0.02 ± 0.01, 183.01 ± 0.02, 120.01 ± 0.02, 87.01 ± 0.03, 44.01 ± 0.01), (0.02 ± 0.01, 172.01 ± 0.02, 130.01 ± 0.01, 88.01 ± 0.03, 42.01 ± 0.04), (0.39 ± 0.04, 272.01 ± 0.02, 180.01 ± 0.01, 138.01 ± 0.03, 37.01 ± 0.01) and ( 0.37 ± 0.04, 282.01 ± 0.02, 184.01 ± 0.01, 141.01 ± 0.03, 36.01 ± 0.01) were measured respectively. Conclusions: The present study found that there were notable significant p-value <0.05 differences in the blood serum levels of BMI, systolic and diastolic blood pressure, Troponin I, cholesterol, triglycerides, LDL, and HDL in both the male and female groups in Groups A and B
Impact of COVID-19 Pandemic on Legal Professionals in Bangladesh: A Study Findings in Dhaka City
Authors: Rashid Md. Harunur
Published: May 2024

This article is focused on the various consequences of the COVID-19 pandemic on legal professionals in Bangladesh. It is a primary data-based study findings. It strives to explore the socio-economic and psychological conditions of legal professionals, especially in Dhaka City, the capital of Bangladesh. Like many other countries, Bangladesh has also faced severe critical factors due to this global pandemic. Because of COVID-19 nationwide lockdown was imposed from 26th March to 30th May 2020, extending several times. The upshots of the nationwide lockdown impacted the daily life of all people in different categories not only in Bangladesh but all over the world. During emergencies, all professionals have to maintain the code of conduct while serving the client, managing appointments, and working with a limited workforce due to illness and isolation of the needed force were not accessible by the legal profession in the COVID-19 era. In that situation, those who are engaged with faced many challenges as gathering on court premises, lack of social distance, and carelessness about themselves. It hampers their professional worth and falls them into a stressed situation.
SDN Multi-Domain Supervisory Controller with Enhanced Computational Security Count
Authors: Abubakar Ibrahim Adamu , Razaq Atayee Abdul , Lawal Ibrahim A.
Published: May 2024

As a new paradigm, software-defined networks (SDNs) are becoming increasingly popular in the network world. From the available research, it can be concluded that SDN multi-domain environments have been under-protected. In areas where security was not a primary concern, management and policies received the vast majority of attention. Previous studies have proposed a "distributed SDN Supervisory Controllers in Multi-Domain Environment" but still suffer from an operational count limitation. An improved framework for distributed SDN supervisory controllers operating in a multi-domain environment is the main focus of this paper. Additionally, we implemented an SDN supervisory controller on the network layer and a global SDN supervisory controller to improve operational counts for security. Furthermore, a security layer with a local and a global security controller was implemented. To test the proposed framework's compatibility, we constructed a network using Mininet, consisting of virtual hosts, switches, controllers, and links. In order to connect the various domains and the control centre, the network uses a wide area network. The switch takes an average of 120 milliseconds, with a packet loss rate of 1.89 percent on average, according to simulation and experiment results. A more efficient security architecture has been put forth, and it is superior to the one currently in place.
The Blade Edge-Shaped Microstrip Antenna for X Band Applications
Authors: Singh Pushpendra , Ray Kanad , Ahmad Badrul Hisham , Yupapin Preecha , Bandyopadhyay Anirban
Published: May 2024

In this paper, a simple design of a microstrip patch antenna with a blade edge shape is proposed. It is based on annular rings with blade-shaped edges. The antenna has a wide range of applications in the X band such as terrestrial, radar, satellite communication,wave-guide probing and etc. The model antenna has a compact structure with a size of 25 × 20 mm2 and is etched over the FR-4 (  = 4.54). The design is simulated in Computer Simulation Technology, CST software-Microwave Studio. The proposed antenna offers a stable radiation pattern, a high gain factor, and a reduced lobe level. Sharp edges of antenna elements increase the antenna activity scale in the X band.
A Review of Downhole Communication Technologies
Authors: E. Ibhaze Augustus , O. Akinola Deborah , Lucky Imoize Agbotiname , E. Orukpe Patience , O. Edeko Frederick
Published: May 2024

Different telemetry techniques have been tested and used in the oil and gas industry to acquire data via downhole monitoring. However, the rate at which conventional telemetry systems transmit data is low. In order to address this problem, some telemetry techniques have been proposed. The wired and wireless drill pipes are among the contending classifications of telemetry techniques used in downhole monitoring. This review provides an in-depth overview of the existing and researched methods of downhole monitoring by highlighting their particular challenges and innovations for which the wireless drill pipe based on visible light communication techniques proves to be promising as an optimal telemetry technique. The review will guide future research studies in the common area of interest in downhole monitoring. The study will contribute significantly to the oil and gas industry by investigating the effectiveness of emerging technologies such as visible light communication technology in transmitting data at a very high rate compared to the existing telemetry techniques.
Robotic Arm Gripper Using Force Sensor for Crop Picking Mechanism
Authors: Syafeeza A.R. , Abdul Hamid Norihan , Ling Eng Man , Wei Lee Guan , Jia Thai Hui , Naja Amsan Azureen
Published: May 2024

A dynamic gripper with qualities that resemble the human hand as closely as possible is sought after in the field of robotics. The idea of a robotic arm has been used in various cutting-edge technology fields, including agriculture, to assist people or farmers in carrying out regular tasks, such as gathering fruit, etc. The robot arm's end effector is one of the essential parts of the robot that we can configure based on their tasks, such as a spraying adaptor for fertilization function or a gripper for the picking mechanism. Since fruits have a delicate and fragile surfaces, it is vital to have a gripper with a smooth contact surface that can apply the right amount of force to pick the fruits without causing any bruising that can degrade the crop's quality. Hence, this paper proposes a robotic arm gripper design for the crop-picking mechanism using a force sensor as the main component of the Arduino Uno embedded system. The reliability result for the chili obtained is around 95% showing that this design is promising for designing an adaptive robotic arm gripper.
A Multiband Tree-shaped Microstrip Antenna for Wireless Communication
Authors: Singh Pushpendra , Ray Kanad , Ahmad Badrul Hisham , Yupapin Preecha , Bandyopadhyay Anirban
Published: May 2024

In the modern world, wireless communications are growing very fast and changing the world of antennas. Conventional antennas are insufficient to meet the requirements in the field of wireless communications. The continuous evolution of wireless communication systems has added cost, size, bandwidth, gain, and polarization constraints to the antennas used. In this paper, the performance of the microstrip antenna is enhanced by overlapping the patch elements. A tree-shaped micro-strip antenna is presented here, in which the tree-shaped geometry emerged from five overlapping circles on the substrate. The proposed antenna could operate in the X and Ku bands. The antenna is resonant at 9.3 GHz, 10.07 GHz, 11.76 GHz, and 13.16 GHz frequencies and has various applications such as satellite communications, radar, terrestrial broadband, space communications, and amateur radio. The built antenna has an improved radiation pattern as compared to conventional antennas.
General Words Representation Method for Modern Language Model
Authors: Lokman Abbas Saliimi , Ameedeen Mohamed Ariff , Ab. Ghani Ngahzaifa
Published: May 2024

This paper proposes a new word representation method emphasizes general words over specific words. The main motivation for developing this method is to address the weighting bias in modern Language Models (LMs). Based on the Transformer architecture, contemporary LMs tend to naturally emphasize specific words through the Attention mechanism to capture the key semantic concepts in a given text. As a result, general words, including question words are often neglected by LMs, leading to a biased word significance representation (where specific words have heightened weight, while general words have reduced weights). This paper presents a case  study, where general words' semantics are as important as specific words' semantics, specifically in the  abstractive answer area within the Natural Language Processing (NLP) Question Answering (QA) domain. Based on the selected case study datasets, two experiments are designed to test the hypothesis that "the significance of general words is highly correlated with its Term Frequency (TF) percentage across various document scales”. The results from these experiments support this hypothesis, justifying the proposed intention of the method to emphasize general words over specific words in any corpus size. The output of the proposed method is a list of token (word)-weight pairs. These generated weights can be used to leverage the significance of general words over specific words in suitable NLP tasks. An example of such task is the question classification process (classifying question text whether it expects factual or abstractive answer). In this context, general words, particularly the question words are more semantically significant than the specific words. This is because the same specific words in different questions might require different answers based on their question words (e.g. "How many items are on sale?" and "What items are on sale?" questions). By employing the general weight values produced by this method, the weightage of question and specific words can be heightened, making it easier for the classification system to differentiate between these questions. Additionally, the token (word)-weight pair list is made available online at https://www.kaggle.com/datasets/saliimiabbas/genwords-weight.
LoRa-based Smart Patient Monitoring System
Authors: Murdan A.P. , Ramphul J.S.
Published: May 2024

Advancements in mobile technologies, internet, cloud computing, digital platforms and social media have significantly contributed to connecting people after the COVID-19 pandemic. With people becoming much more health-conscious, there is a growing demand for innovative ways to monitor health and well-being. This project aims at deploying Internet of Things (IoT) devices for measuring vital medical parameters of patients and securely transmitting the data to caregivers or any authorized persons for timely decisions. Essentially, our proposed system allows patients to move freely within a certain radius, while wearing an IoT kit, consisting of several sensors and communication modules. The project consists of three main parts: transmission, receiving and ‘body fall’ detection and alert systems. The transmission section records data through sensors and sends it to the receiving section, which then uploads the data to the cloud. The ‘body fall’ system detects changes in orientation and acceleration, alerting caregiver, in case the patient falls. Implementation and testing were successfully performed, with live data presented to caregivers through the LoRa technology and IoT platforms such as Blynk and Cayenne.