bluuebunny/crossref_metadata_2025 huggingface dataset:
The influence of cultural characteristics on the development of social and labor relations and corporate training practices in the countries of the Middle East region
Authors: Agafonova Larisa V. ,   N. A. Semashko National Research Institute of Public Health, Byakerev Marat A. , Kolesnev Andrei A. ,   Scientific Research Institute of Healthcare Organization and Medical Management of the Department of Healthcare of the City of Moscow,   Scientific Research Institute of Healthcare Organization and Medical Management of the Department of Healthcare of the City of Moscow
Published: July 2024

The presented work examines the features of the current stage of labor market development in the agro-industrial complex of the Russian Federation. Agriculture has become a booming industry in recent years. Fully ensuring domestic food security, the Russian Federation is becoming one of the largest suppliers of food to the world market, since in recent years agricultural exports have traditionally ranked second after oil and gas revenues in export volume. However, the industry is facing serious challenges for further growth, the main of which are negative trends in the industrial labor market. The shortage of labor, aggravated by the "SMO effect", becomes a natural constraint on the further development of the industry.
Impacto de la creatividad en la capacidad emprendedora de estudiantes universitarios
Authors: Agüero Corzo Eucaris del Carmen , Dávila Morán Roberto Carlos
Published: June 2024

El objetivo del estudio fue evaluar el impacto de la creatividad en las capacidades emprendedoras de estudiantes universitarios peruanos. La investigación tuvo enfoque cuantitativo, diseño no experimental, de tipo básico y nivel explicativo. La muestra fueron 42 estudiantes de ingeniería industrial de una universidad privada de Lima, cursantes del 8vo ciclo de la asignatura Gestión de Proyectos. Para medir la creatividad se usó el Inventario de Valoración de la Creatividad de Williams y para las capacidades emprendedoras la Escala de Orientación de las Actitudes y Capacidades Emprendedoras. Se obtuvo 42.9% y 50.0% de nivel medio de creatividad y capacidades emprendedoras, respectivamente. Se constató que p-valor = 0.045 < 0.05, confirmándose la existencia de asociación significativa entre la creatividad y las capacidades emprendedoras. De forma similar, sucedió en el análisis de necesidad de logro, liderazgo, trabajo en equipo y sentido de riesgo.
A Retrospective overview of Medico Legal Study on poisoning death in Dhaka medical college
Authors: Biswas UK
Published: June 2024

Background: Poisoning deaths are filed as mostly unnatural death in Bangladesh. Both accidental and intentionalpoisoning is not uncommon. By these deaths are significant contributor to mortality and morbidity day by day.Objective: The main objectives of these studies were to find out the incidences and pattern of poisoning in rural areas.The present study carried out to evaluate the type of poisoning deaths among the unnatural death at DMC morgue forautopsy over a period of one year from January 2023 to December 2023.

Material and method: This retrospectivestudy was conducted in the year January 2023 to December 2023 in the morgue of Forensic Medicine and Toxicologydepartment of Dhaka Medical College. Out of total 2156 medico legal autopsies, 387 (17.93%) were poisoningdeaths during the study period.

Result: Specific poisons were identified in 301(77.69%) cases. Maximum number ofpoisoning deaths cases reported was due to Organo Phosphorous compound (65.36%). Peak incidence (35.81%) wasobserved in the age group 21-30 years, with male female ratio of 1.12: 1. Agricultural workers have been found to be amajor (31.86%) risk group by occupation. Most of the victims were from rural areas (62.37%). Married outnumberedthe unmarried victims 230(59.47%) and belonged to lower socioeconomic status202 (52.17%); 224 Cases (57.89%)did not complete their primary education. Intentional poisoning deaths (90.93%) were more.

Conclusion: To reducepoisoning cases proper emphasis should be given for safe use of pesticides and awareness should be created amongthe population about poisonous compounds.
Parry-Romberg Syndrome: Case Report of a Rare Type of Linear Scleroderma
Authors: Akter L
Published: June 2024

Parry–Romberg syndrome (PRS), which is also known as Progressive hemifacial atrophy, is a form of linearscleroderma of the face and head. The hallmark of this presentation is varying degrees of atrophy at one side of face,affecting the subcutaneous fat, muscle, and underlying bone structures, with mild or absent epidermal and dermalchanges. Here we report a 10-year-old girl presented with right hemifacial atrophy and convulsion. Considering theclinical features and laboratory workup diagnosis was consistent with Parry–Romberg syndrome (PRS).
Сomparative Analysis of Socio-Cultural Environment Development of Kazakhstan's Regions
Authors: Yeszhanova Zhanar , Abdykadyr Temirlan
Published: June 2024

This study conducts a comparative analysis of the socio-cultural environments across the regions of Kazakhstan, focusing on indicators of cultural infrastructure. The authors focus on considering the indicators of the cultural infrastructure of the regions. Utilizing data from the Bureau of National Statistics of the Republic of Kazakhstan, this research explores the dynamics and structural characteristics of these indicators from 1995 to 2022. The authors proposed using the multidimensional comparative analysis method to obtain a comprehensive rating assessment of the sociocultural environment of the regions. The central place in the study is the determination of regional ratings, reflecting the relative position of each region based on the development of its socio-cultural environment. These rankings offer valuable information to policymakers, stakeholders, and researchers alike, enabling informed decisions and targeted interventions to promote balanced socio-cultural progress across Kazakhstan. This study contributes to the understanding of the socio-cultural development of Kazakhstan by providing a detailed analysis of regional differences and the dynamics of changes in their leading indicators. The author's approach to assessing the development of the socio-cultural environment of the regions of Kazakhstan proposed in the article can be considered by researchers in this field as a convenient and reliable analysis tool. The results of the study emphasize the importance of a multidimensional approach to assessing and solving socio-cultural problems and open up opportunities for an inclusive approach in developing a strategy for the development of the socio-cultural environment of the regions of Kazakhstan.
Responsible Production: A Systematic Review and Future Research Directions
Authors: Zhidebekkyzy Aknur , Kalmakova Dinara , Kotaskova Anna
Published: June 2024

Responsible production (RP) aims to minimize negative consequences of active economic growth by producing and using resource-efficient and energy-efficient products and processes that have a minimal negative impact on the environment and are safe for employees, the community, and consumers. Despite the relevance of the RP concept, there are no systematic literature reviews containing thematic mapping and thematic evolution of research in this area. Therefore, this study aims to identify relevant research areas, research interests' current state and evolution, and potential future research directions on RP topics. A systematic review approach and content analysis were applied to achieve the study's aim. To conduct a systematic review, a search was carried out for keywords such as “responsible production" OR “sustainable production”. Then, further filtering by such criteria as subject category, document type, and publication language took place. As a result, bibliographic data from 858 papers became a research basis for descriptive analysis. Data were derived from the Scopus database. The Biblioshiny tool was used for systematic review. Finally, the most relevant research areas were identified, including sustainable supply chains, consumer behavior in the context of RP, and the impact of Industry 4.0 on the realization of RP principles. According to the systematic review results, scientific activity in RP research has increased significantly. The role of supply chain management in achieving RP principles is notable. The environmental aspects of RP, environmental management, and environmental performance are particularly relevant.
Enhancing Cultural Competence through University-Business Collaboration: The Case of the Caspian Region
Authors: Bianchi Massimo
Published: June 2024

The accelerating pace of globalization and digital transformation presents significant challenges and opportunities for higher education institutions, particularly in regions undergoing rapid economic and educational transformations such as the Caspian area. This study examines the implementation of innovative educational methodologies within the Erasmus PICASP Project, specifically focusing on the integration of Massive Open Online Courses (MOOCs) and Practice Enterprises (PE) to enhance university-business collaboration in the Caspian area. By leveraging MOOCs for scalable, flexible learning and PEs for hands-on business management experience, the project fosters critical skills such as problem-solving, teamwork, and adaptability. There are covered the project's framework, educational approaches, and the potential impacts of these methods on the education landscape management, highlighting the shift towards multidisciplinary learning environments that integrate digital technologies. The project reported improved student engagement, enhanced practical skills, and increased employability of graduates. The findings highlight the importance of integrating local contexts with global educational standards to enhance employability and competitiveness, particularly in regions with diverse economic and educational landscapes. Furthermore, future research can contribute to the ongoing development and refinement of educational and cultural tools, ensuring they remain effective and relevant in an ever-evolving global landscape.
Comparative Analysis of Machine Learning Algorithms for Multi-Class Tree Species Classification Using Airborne LiDAR Data
Authors: Airlangga Gregorius
Published: June 2024

Forests hold vital ecological significance, and the ability to accurately classify tree species is integral to conservation and management practices. This research investigates the application of machine learning techniques to airborne Light Detection and Ranging (LiDAR) data for the multi-class classification of tree species, specifically Alder, Aspen, Birch, Fir, Pine, Spruce, and Tilia. High-density LiDAR data from varied forest landscapes were subjected to a rigorous preprocessing and noise reduction protocol, followed by feature extraction to discern structural characteristics indicative of species identity. We assessed the performance of six machine learning models: Logistic Regression, Decision Tree, Random Forest, Support Vector Classifier (SVC), k-Nearest Neighbors (KNN), and Gradient Boosting. The analysis was based on metrics of accuracy, precision, recall, and F1 score. Logistic Regression and Random Forest models outperformed others, achieving accuracies of 0.81, precision of 0.80, recall of 0.81, and an F1 score of 0.80. In contrast, the KNN algorithm had the lowest accuracy of 0.60, precision and recall of 0.60, and an F1 score of 0.59. These results demonstrate the robustness of Logistic Regression and Random Forest for classifying complex LiDAR datasets. The study underscores the potential of these models to support ecological monitoring, enhance forest management, and aid in biodiversity conservation. Future research directions include the fusion of LiDAR data with other environmental variables, application of deep learning for improved feature extraction, and validation of the models across broader species and geographical ranges. This research marks a significant step towards leveraging advanced machine learning to interpret and utilize LiDAR data for environmental and ecological applications.
Implementation of Web Based Leave Information System at PT Arutmin Indonesia Tambang Kintap
Authors: Maulana Dhiya Ulhaq , Supriyanto Arif , Utomo Hendrik Setyo , Rahmanto Oky
Published: June 2024

Leave is one of the rights that must be given to employees by a company. The leave application process at PT Arutmin Indonesia Tambang Kintap is still done manually, starting from the leave application to the results of the leave decision. The process of checking employee leave balances, leave applications, approvals and leave reports still relies on previous leave files. This kind of management process is often complained about because it is felt to be less effective and efficient when searching, changing, deleting data and data redundancy often occurs. Therefore, the aim of this research is to build and implement an employee leave information system which is expected to be able to help the process of managing leave in the Company. This information system was designed using ERD, DFD using the waterfall system development model. This system was built based on a website using the My database. SQL Based on the results of system functionality testing, this leave information system can function well without any problems.
Fiber to the home (FTTH) activation system and analysis of dropcore cable connection losses on optical network performance
Authors: Asril Aprinal Adila , Maria Popy , Yustini Yustini , Setiawan Herry , Nasrul Nasrul
Published: June 2024

The FTTH network is currently a reliable network concept used in an era where very fast access to information is needed as it is today, but several problems arise in the FTTH network, for example, reduced data transmission speed due to losses in the transmission cable connection or drop core. In this study, activation of the FTTH network will be carried out so that it can function for internet data transmission and observations will also be made of the connection losses on the 10-meter dropcore cable with the number of connections respectively, namely no connection, 1 connection, and 2 connections, where each connection obtains connection losses from 0.00 to 0.02 dB which will affect the total attenuation obtained in the activated FTTH network. Standard attenuation for fiber optic network activation starting from OLT to ONT according to IEEE Std 802.3ah states that the permissible attenuation / loss tolerance is between 20-24 to 29 dB. Splicing losses are caused by errors in the process of joining the fiber optic cable cores. The number of connections in a fiber optic cable can affect the attenuation value in the fiber optic cable. The more connections, the higher the attenuation in the fiber optic cable.
Implementation of Kanban Method in Transactional System Design in the “Mr. Sneakers” Shoe Laundry Business
Authors: Puspitarani Yan , Violina Sriyani , Rumaisa Fitrah , Sulianta Feri
Published: June 2024

Laundry information system design using Kanban method is a strategic step to improve operational efficiency and responsiveness to customer needs in the laundry business. The study aims to design an information system that is integrated with the Kanban method to optimize the transaction process from receiving orders to returning to customers. The study outlines the process of designing a laundry information system using Kanban principles, including workflow mapping, suitable Kanban board design and integration with existing information systems. The results of this information system design show that the application of Kanban can provide a clear visualization of the workflow in the process, improve operational efficiency by speeding up the order cycle time, reducing waiting times, and minimizing errors in the transactions process. Good integration between the information system and the Kanban board allows managers to monitor order status in real time and respond quickly to changing customer requests. In conclusion, designing a laundry information system using the Kanban method can improve business performance, strengthen customer relationships, and create significant added value.
Enhancing the Accuracy of Diabetes Prediction Using Feedforward Neural Networks: Strategies for Improved Recall and Generalization
Authors: Setiawan Herry , Firnanda Ary , Khair Ummul
Published: June 2024

This study explores the development and evaluation of a neural network model for predicting diabetes based on clinical data. The model was built using the Keras API with TensorFlow backend. Key steps included data preprocessing, such as feature scaling with `StandardScaler` and splitting the data into training and testing sets. The neural network architecture consisted of an input layer, two hidden layers with ReLU activation functions, and an output layer with a sigmoid activation function, optimized using the Adam optimizer and binary crossentropy loss function.
The model was trained over 50 epochs with a batch size of 10, incorporating a validation split of 20% to monitor performance on unseen data during training. The results demonstrated a high accuracy of approximately 97% on the test set, indicating the model's efficacy in predicting diabetes. Further analysis using a confusion matrix revealed a high count of true positives and true negatives, alongside minimal false positives and false negatives, confirming the model's robustness. These findings suggest that neural networks can be effectively employed for diabetes prediction, offering significant potential for integration into clinical decision support systems. However, further validation with larger and more diverse datasets, alongside considerations for data imbalance and model interpretability, is recommended to ensure generalizability and practical application in real-world healthcare settings.
Semiotic Analysis of Twitter Logo Change to Logo X: User Interface (UI) Design and User Psychological Perspectives
Authors: Yulianto Arief , Putri I Gusti Ayu Agung Aristi
Published: June 2024

The development of a logo has become a visual identity for big brands. Some brands create logos to be the biggest promotional resource to attract the mindset of their customers. In the context of technology applications, a logo is not just a symbol, but also an integral part of the User Interface (UI) that influences user interaction and engagement. Twitter, as one of the largest social media platforms in the world, has undergone a significant change in its visual identity by replacing its iconic logo to a new logo known as X. This research uses a descriptive analysis research method with comparative analysis from the researcher himself and data approaches carried out with the 5W + 1H theory. Semiotic Theory using Roland Barthes theory which explains that the first stage of signification is the relationship of signifier (expression) and signified (content) in a sign to external reality. In addition, this analysis also looks at the UI Design side and the user psychology side with the Gestalt Psycholgy theory. The results and findings viewed in the context of UI design, these changes present new challenges and opportunities to create a consistent and engaging user experience. Users' psychological reactions were mixed, indicating that the logo change had a major impact on users' perception and engagement with the app. Through the 5W+1H concept and personal analysis, this research provides a comprehensive understanding of the meaning and impact of the logo change.
Juvenile papillomatosis: A case report
Authors: Güneş Yasin Celal , Öztekin Pelin Seher , Değirmenci Tülin , Uçar Funda , Uysal Ramadan Selma , Nercis Koşar Pınar , Erel Serap , Ünverdi Hatice
Published: June 2024

Juvenile papillomatosis (JP) is a very rare benign proliferative breast disease, especially in young women under 30 years of age. Its etiology is not clear yet. Although some patients have breast cancer in their family history, up to 10% breast cancer can develop in the follow-up of JP patients. In this pathology, which is diagnosed with biopsy, history, clinical and radiological findings help in diagnosis. In this case report, a 37-year-old patient diagnosed with JP will be discussed in the light of the literature.
Factors associated with anastomotic leak following gastrectomy for gastric adenocarcinoma and its effect on long-term outcomes
Authors: Shaganti Rakesh , Kumar Godara Sunil , Kumar Singh Rajneesh , R Rahul , Misra Shagun , Kumar Shaleen
Published: June 2024

Objective: Gastrectomy for cancer is a technically demanding surgery and anastomotic leak is an important complication of this surgery. This study aimed to identify the factors associated with anastomotic leak following gastrectomy in gastric cancer patients and its long-term effect on outcomes.

Material and Methods: This is an ambispective study of 181 patients who underwent curative gastrectomy for gastric adenocarcinoma over 13 years, at our institution. Groups with and without anastomotic leak were compared using the Mann-Whitney U test (continuous variables) and Chi-square test (categorical variables). A multivariable analysis was performed to determine the factors associated with anastomotic leak.

Results: Out of the 181 patients who underwent curative gastrectomy, 12 (6.6%) patients experienced anastomotic leak. A multivariable analysis revealed that younger age, presence of comorbidities, hypoalbuminemia, tumor location in the proximal stomach, type of reconstruction, and positive margin status were associating factors for anastomotic leak. During a median follow-up of 34 months (ranging from 12 to 130), it was observed that 25 (18.3%) patients developed anastomotic stenosis, but it was not related to anastomotic leak. The incidence of post-operative pulmonary complications, administration of adjuvant therapy, recurrence rates, and mortality due to anastomotic leak did not significantly change. Moreover, neoadjuvant therapy did not increase the incidence of anastomotic leaks.

Conclusion: Factors like younger age, presence of comorbidities, hypoalbuminemia, tumor location in the proximal stomach, type of reconstruction, and positive margin status were associated with increased risk of anastomotic leak, which needs further studies to validate the findings. Thus, preoperative optimization and resection with adequate margins may be of utmost importance in preventing anastomotic leaks.
Evaluating Strategic Human Recourse Management’s Influence on Employee Productivity in Bangladesh’s NGO
Authors: Dash Partho Sarothi
Published: June 2024

Strategic human resource management techniques involve a strong emphasis on recognizing the value of each individual inside the firm to ensure employees are committed to its long-term objective. The goal of the study is to determine how strategic HRM factors affect employee productivity in Bangladesh's NGOs from the perspective of the NGO managers. From various organizations of NGOs in Bangladesh, a total of 50 different categories of employees were chosen. Analysis reveals that in NGOs, strategic HRM significantly affects Employee productivity. The executive authority and HR department of NGO should be aware of and concerned with addressing these strategic issues on employee productivity which will ultimately utilize the implementation costs of Strategic human resource management (SHRM). Further study can be evaluated other sectors of Bangladesh.
The Effect of Quality Costs on Damaged Product Minimization: Case Study on Food Industry Home Products
Authors: Yuniastuti Rina Milyati ,   Institut Maritim Prasetiya Mandiri, Lampung, Indonesia, Nasyaroeka Jhon , Lestari Fransiska Wahyu ,   Institut Maritim Prasetiya Mandiri, Lampung, Indonesia,   STIE Gentiaras, Lampung, Indonesia
Published: July 2024

The research aims to analyze the effect of quality costs (prevention costs, assessment costs) on the damaged products. According to this research, a damaged product is a failed product; products that cannot be traded according to business standards. This research was carried out regarding to the issue of damaged products which could cause in losses due to product quality not being guaranteed, increasing of raw materials and increasing of production costs. This research object is a home industry business which making snacks called Risoles. This home industry business is included in the micro, small and medium enterprises. This research sample was taken from 2020-2022. The research method used descriptive quantitative analysis. Statistical tests used multiple regression analysis. Model feasibility test and t test and determination test. The F test shows the prevention costs and assessment costs affect damaged products. The t test/partial test result shows the prevention costs has an effect on damaged products, the assessment costs of also has an effect on damaged products. This research can make a contribution to home industry to more focus in minimizing damaged products so that they do not suffer losses and it is also recommended to make quality cost reports periodically.
Exploring the Role of Early Childhood Educators in Cultivating Social Skills among Preschool Students: Strategies, Challenges, and Implications in Sri Lanka
Authors: Herth Jeevani , Jayathissa M.D.G.D.
Published: June 2024

This study delved into the critical role of early childhood educators in nurturing social skills among preschool students within Sri Lanka. Due to a lack of understanding of the type of stimulation that children under the age of three need, teachers do not pay enough attention to improving social skills for personality development. Employing a mixed research methodology and involving two preschools, forty parents, and six teachers, the research explored a diverse range of perspectives and experiences related to social skills development in preschool education. The objectives were to examine the motivation of teachers to develop soft skills of preschool students, examine the techniques used by teachers to develop social skills, identify classroom management strategies to improve social skills, and analyze the effects of teacher attitudes on social skill development. The study investigated various strategies employed by educators, challenges they encountered, and the broader implications of their efforts. Findings highlighted that teacher behavior and personality traits, as well as activities designed for children, significantly influenced the enhancement of social skills among preschoolers. Educators’ interactions with students, their teaching approaches, and the learning environments they created played pivotal roles in shaping the social development of young learners. These insights underscored the crucial role of early childhood educators in fostering social skills and preparing children for success in their academic and social lives. Furthermore, the study shed light on the complexities and nuances involved in cultivating social skills in preschool settings.
Studying activity silver Nanoparticles of Arirthrospira platensis In Some Biofilm Bacteria
Authors: J.Hadi Sheimaa
Published: June 2024

Arirthrospira platensis was conducted at the University of Kufa, Faculity of Science / from November 2021 to February 2022 . Escherichia coli and pseudomonas eroginosa are among the diagnosed bacteria that are obtained from Al-Amin Research Center and advanced biotechnology in the holy city of Najaf. The antibacterial activity of three concentrations (100, 150, and 200 mg/ml) of each extract is assessed in three replicates using the spreading fine agar method.The average diameter and three-dimensional structure of the A. platensis silver nanoparticles were measured using an atomic force microscope (AFM). The average diameter was found to be 2.07. Silver nanoparticles that were biosynthesized shown antibacterial action against the study's microorganisms
AN EXPLORATION OF BIG DATA AS THE BASIS FOR DEVELOPING A FLUID AND ADAPTABLE
ARCHITECTURE PROGRAMMING
Authors: Arnis Rochma Harani , Anugerah Nan Mulia
Published: July 2024

Many discussions have been devoted to the use of big data in architecture, particularly as atool for data predictive analysis. Interpretation of big data rules, however, is rarely discussed. This paper explores the use of big data as a basis for programming architectures. It emphasizes the use of big data in design beyond predicting the future. Instead, it is a descriptive resource that transcends rigid data dependencies. This allows architectural program development to become more flexible and adaptable. This study was conducted using exploratory qualitative methodology. A variety of sources in Google were used to collect the data. By using the tracing method, a rule inquiry is conducted. To gain a better understanding of how big data can be applied in architectural programming, a rules-based design exploration was conducted. Based on the results of this study, the following methods may be used to determine the rules: (1) data collection for reading patterns, (2) trace lines as a basis for discovering rules, and (3) exploration of rules as a basis for programming design. The concept of architecture can be considered asa component that incorporates digital technology, which enhances efficiency and adaptability
Comparative Analysis of Diabetes Diagnosis with Machine Learning Methods
Authors: Aktaş Tuğba , Temel İsmail Mert , Saygılı Ahmet
Published: June 2024

Diabetes is a disease that occurs when the body cannot regulate the level of sugar (glucose) in the blood. Early diagnosis of this disease is important in preventing more serious diseases that may arise later. Within the scope of this study, an attempt was made to optimize the diabetes data set for use by training it with different models. At the very beginning of the study, Logistic Regression, KNN, SVM (Support Vector Machine), CART (Classification and Regression Trees), RF (Random Forest), Adaboost, GBM (Gradient Boosting Machines), XGBoost (Extreme Gradient Boosting), LGBM (Light Gradient Boosting). Machine), CatBoost models were used. According to the results of the models, RF, LGBM, XGBoost accuracy, and f1 values were observed as the best models, respectively. As a result, in the Random Forest model, which produced the most successful results, Accuracy: 0.88, F1 Score: 0.84, and ROC AUC: 0.95 values were obtained, respectively.
Advanced Web-Based Customer Taxi Appointment Request System
Authors: Avuçlu Emre , Meral Süleyman
Published: June 2024

In today's rapidly digitalizing world, significant transformations are also taking place in the service sector. In this context, the taxi industry is also being reshaped by technological innovations. A study was conducted in the literature to reduce traffic congestion. In this study, a web-based online taxi calling and control application was developed. This application was implemented to ensure that users receive safer, faster and more comfortable transportation services. This study aims to prevent security problems that may arise in the taxi industry. Since the application allows the information of the taxi driver and the passenger to be easily visible on the system, it is aimed to prevent situations such as loss of belongings and events that could endanger the life of the taxi driver. With the study, an innovative platform was presented that aims to improve the experiences of both passengers and taxi drivers. Thanks to user-friendly interfaces, users can easily make a taxi appointment and choose the driver they want. This application, which has a dynamic structure, was coded in the PHP programming language.
A Web-Based Advanced Law Firm Tracking System Application For Lawyers
Authors: Avuçlu Emre , Yalçın Selin
Published: June 2024

Law office tracking system is a digital solution used in today's legal practice to ensure that work is carried out efficiently and regularly. With the rapid development of technology, law offices also save time and resources by moving their transactions to digital platforms. These systems offer many functions such as case tracking, client management, document archiving, calendar and appointment management, alleviating the workload of lawyers and allowing them to work more strategically. Modern law firms can manage client relationships more effectively by using these systems. They make litigation processes more transparent and traceable and minimize the error rate. Especially in large-scale offices, it has become almost impossible to carry out critical functions such as file tracking and process management using manual methods. For this reason, digital tracking systems both increase the competitiveness of offices and increase the quality of legal services. In this study developed in web-based PHP language, an application that provides solutions to all these problems has been developed and this application is explained in detail.
Call Centre Influence on the Delivery of Mental Health Services Among Young People: A Case of One2one Call Centre in Nairobi County
Authors: Mutwiri Robert Kimathi , Kawila Caroline , Olouch Musa
Published: July 2024

Purpose: The purpose of this study was to examine the influence of call centers on the delivery of mental health services among young people in Nairobi County. Specifically, the study aimed to investigate the impact of crisis intervention, round-the-clock availability, resource sharing, and follow-ups on mental health service delivery.
Methodology: The study employed a descriptive-cross-sectional research design to assess the impact of call centers on mental health service delivery. The target demographic consisted of healthcare providers affiliated with the one2one Call Centre in Nairobi County. A sample size of 112 respondents was selected using basic random selection methods. Data was collected through the distribution of questionnaires, and Statistical Package for Social Science (SPSS) version 25 was utilized for data analysis. Descriptive statistics such as mean, standard deviation, frequencies, and percentages were employed, along with correlation and regression analysis to evaluate the relationships between research variables.
Findings: The study found that crisis intervention, round-the-clock availability, and resource sharing had a positive impact on the delivery of mental health services among young people in Nairobi County. Specifically, crisis intervention strategies were shown to significantly enhance the overall mental health support system, ensuring timely assistance for young individuals in need. Furthermore, maintaining round-the-clock availability allowed service providers to cater to the diverse needs and schedules of young people seeking assistance, thereby improving the overall delivery of mental health services across the county.
Unique Contribution to Theory, Practice, and Policy: This study makes several contributions to theory, practice, and policy in the field of mental health service delivery. Firstly, it adds to the body of literature on the effectiveness of call centers in enhancing accessibility and reachability of mental health services, particularly among young people. Secondly, the findings provide valuable insights for healthcare practitioners and policymakers on the importance of crisis intervention, round-the-clock availability, and resource sharing in improving mental health service delivery.
Mathematical morphology based lung segmentation using multiscale dense pyramid network architecture
Authors: Kumar Pradeep , Raja Linesh , Soni Pramod Kumar , Gaur Kuntal
Published: June 2024

Chest radiographs (CXR) are widely used technique in healthcare for the diagnosis and treatment of patients. The recognition of visual irregularities from CXR is most difficult task for expert radiologists as the chest area composed of many sensitive anatomical structures. In this paper, a reliable and secure fully automated mathematical morphologybased architecture (M2LS-Net) is designed for extracting lungs region from CXRs. This method uses dense and multiscale features to segment lungs from chest followed by the use of morphological features to eliminate the non-lung regions to enhance the accuracy of the segmentation. The designed method has attained better performance in comparison to established architectures when evaluated against different performance metrics.
Security issues in cloud, fog and edge computing models and suggested solutions
Authors: Kumar Krishan , Saini Dinesh Kumar
Published: June 2024

This investigation on data and information security in cloud, fog and edge computing explores the essential security challenges and solutions in all three computing paradigms. We identify the gaps between current security requirements and the state-of-the-art security solutions. Security gaps eventually lay path to areas for future research in cloud security. During this investigation, we study and analyze existing cloud, Fog and Edge security solutions and figure out their limitations to address current security issues.
Interpolation of electrocardiogram signals using Chebyshev polynomials optimization using genetic algorithms
Authors: Sharma Seema , Vasudeva Chetan , Soni Neetika
Published: June 2024

The research presented in this article specifically explores the utility of Chebyshev polynomials in electrocardiogram (ECG) signal processing and specializes in its correction and development capability. ECG sign evaluation is an important a part of coronary heart monitoring and is crucial for figuring out and monitoring heart issues. However, dependable analysis is hard, mainly while looking to come across small defects. Additionally, this observe presents a brand new technique for interpolation, smoothing and optimization of ECG statistics using Chebyshev polynomials. ECG features had been normalized to conform to the character of Chebyshev polynomials. Then the polynomial coefficients are calculated by way of the orthogonal projection technique. The aim of this look at is to reduce the mistake among the reconstructed ECG characteristics and the original ECG traits with the aid of optimizing the coefficients using a genetic algorithm (GA) in MATLAB. This strategy calls for collecting ECG statistics, segmenting it into person heartbeats the use of the Pan-Tompkins technique, the usage of a finite impulse reaction (FIR) bandpass filter as a preprocessing step, and ultimately applying Chebyshev polynomials for function extraction. The effects show how effective our technique is, showing desirable convergence of GA and lowering errors, for that reason offering an accurate and dependable illustration of ECG alerts that may be utilized in prognosis and monitoring
Vigilance and surveillance reinforced using mathematical approaches in object tracking techniques
Authors: Upreti Kamal , Kapoor Shreya , Ghosh Soumi , Jain Dhyanendra , Kushwah Virendra Singh , Parashar Jyoti , Jain Rituraj , Bloch Tarannum
Published: June 2024

Visual tracking is crucial to the study of object recognition and has been utilized in a variety of realistic settings, such as robotics, traffic monitoring, self-driving automobiles, forensics, and more. This research concentrates on techniques for counting the total number of individuals entering or exiting a space under the watchful eye of a camera. The techniques described here can detect the number of persons in a scene, both for a single individual and for many passers in front of the camera. With the aid of surveillance that use the centroid concept, an effective solution has been devised for monitoring. Secondly, in this study, object tracking methods utilising deep learning are also reviewed and analysed. This study also compares the effectiveness of various algorithms on the LaSOT, VOT2015, VOT2016, VOT2017 and OTB2015 tests.
A Gravity Model Analysis of China’s Bilateral Trade Flows: The Role of Free Trade Agreements and Exchange Rates
Authors: . Abhishree
Published: June 2024

In the field of International Economics, the gravity model of trade has been one of the most successful empirical models guiding trade-policy decisions by nations. This paper aims to incorporate the theoretical foundations into the real world of trade flows between China and rest of the countries. An augmented gravity model is applied to study the impact of two variables, free trade agreements and nominal effective exchange rate on bilateral trade flows. Multiple regression analysis is carried out on a panel data consisting of trade flows with 224 countries from 1992-2015. The estimated results reveal a positive and significant influence of FTA on exports and imports. NEER displays a positive, though not significant, relationship with China’s imports and negative with exports.
MOTIVATIONAL ASPECTS OF THE MECCAN AND MEDINA AYATS: COMPARATIVE ANALYSIS
Authors: Rashimbetov Rakhymzhan , Kabylova Aina
Published: June 2024

In this article, the motivational aspects of the Ayats of the Qur’an were studied: Meccan and Medina. The changes and peculiarities of the motivation of the Ayats of the Qur’an during the early Muslim society were analyzed.In the study, all efforts will be directed at finding answers to the main three questions: a description of the main features of the Meccan surahs in the Qur’an, which give spiritual support to early Muslims and inspire the Prophet Muhammad; a comparison of how the characteristics of motivation changed over time; an analysis of the motivational methods of the Qur’an in the period of early Muslims. The historical and comparative study was conducted using the hermeneutical method. In the course of the study, it can be noted that the motivational direction and method of the Qur’an in the above periods changed with the emergence of changes in social, religious, and political relations. Despite the differences in the motivational directions of the Ayats of these two periods, there were also similar sides.The authors of the article highlight the importance of studying the issues that can currently serve as a crucial basis for Muslim society, in a deep knowledge of the significance of the Qur’an in society and an understanding of religious phenomena.
ОРТАЛЫҚ АЗИЯ ЖӘНЕ ТАЯУ ШЫҒЫС ЕЛДЕРІНІҢ САЯСИ ПРОЦЕСТЕРІНДЕГІ ДІНИ ФАКТОР
Authors: Алияров Есенжол , Нуров Мархаббат , Жангужекова Динара
Published: June 2024

Бұл мақалада Орталық Азия мен Таяу Шығыс елдеріндегі діни факторды ескере отырып, саяси процестерді талдауға әрекет жасалды. Қазақстандық қоғамның тұрақтылығы мен қауіпсіздігіне әсер етуі мүмкін түрлі процестердің алдын алу үшін Сириядағы ағымдағы діни және саяси жағдайға талдау жүргізілді. Ғылыми және сараптамалық қауымдастық үшін модернизациялық трансформацияларының үлгілері, аймақтағы елдерді демократияландыру және либералдандыру, оларда саяси және экономикалық реформалар жүргізу сияқты проблемалық мәселелер әлі де үлкен қызығушылық тудырады. Осы мәселелер аясындағы даму жүйелері, рәсімдері, тетіктері, жолдары мен тәсілдері Орталық Азия өңірі үшін ғана емес, Таяу Шығыс елдері үшін де жақсы таныс қоғамның тұрақсыздануының туындау себептерін анықтаудың іргелі маркерлері болып табылады. Зерттеудің мақсаты – қоғамның тұрақсыздануын ынталандыратын геосаяси стратегиялардың, діни және мәдени факторлардың қалай тоғысатынына көрсете, ортақ және алшақтықтарды анықтау. Дін саласындағы сириялық тәжірибені талдауды ескере отырып, Қазақстан үшін нақты ұсыныстар келтірілген.
Identificação De Fungos Endofíticos Associados A Plantas Do Semiárido Alagoano
Authors: Ribeiro da Silva Livia , Silva Maria Clariana da , Jesus Évelly Vitória Oliveira de , Costa Maria Eduarda Lino da , Silva Paula Cibelly Vilela da , Silva João Manoel da
Published: June 2024

Na região do semiárido alagoano existem dificuldades para os pequenos produtores em fornecerem alimento para produção animal, a escassez de água é um dos desafios enfrentados e causa prejuízos significativos. No entanto, a falta de conservação e o desconhecimento, são fatores que atribuem ao superaquecimento e escassez da precipitação das chuvas. Ao combinar esses fatores, surge a necessidade de estudar e comprovar a importâncias dessas espécies arbóreas não apenas na manutenção dos ecossistemas naturais, mas também na melhoria da qualidade da produção animal. Através do método de micro cultivo, foi realizada a identificação primária dos endófitos, segundo o Manual da Anvisa (2004) para a identificação de fungos filamentosos. Foram observados os aspectos morfológicos, microscópicos e padrões de esporulação. Em placas de Petri estéreis foram colocadas lâminas, com blocos de ágar BDA. Após semeadura dos endófitos nos meios de cultura, foram recobertos com lamínulas, após o crescimento em 3 e 5 dias as lamínulas foram coradas com azul de metileno e a partir da observação em microscópio, foi feita a consulta das estruturas de esporulação mediante a referências bibliográficas como atlas e manuais para a identificação do gênero dos endófitos.
Beyond general challenges: exploring physical education teachers' lived experiences and resilience in flexible learning environments
Authors: Quibral Jeric , Garganera Ma. Michelle , Mangali Glen
Published: July 2024

Resilience is the ability to bounce back from difficult situations and adapt to change. Resilience has become an essential skill for students, teachers, and institutions in the context of flexible learning during a pandemic. Unsurprisingly, there are several emotions, reactions, and feelings around the pandemic. During this phenomenon's transitional era, key institutions are experiencing discomfort and disorder. The primary objective of this study is to explore the lived experiences and resilience of physical education teachers during the implementation of the flexible learning approach. The study employed a phenomenological research approach and an inductive approach to develop theories or generalizations based on specific observations or data collected during the research process. The researchers developed a coping mechanism framework for physical education teachers that showed significant forces that distress their coping and adaptation. The study revealed that physical education teachers at Rizal Technological University were able to manage and adapt to the changeover because they embraced change, showed adaptability, and prioritized mental preparedness, collaboration, and administrative assistance. In addition, physical education teachers who increase their computer and technology literacy in preparation for flexible learning, reskilling, and upskilling play a crucial role in adjusting to the new norm. Edpuzzle, Padlet, and Wordwall, as well as other educational platforms, were found to aid educators in engaging their students in conversations. Similarly, social media sites were utilized as instructional resources and assessment instruments.
2024 Türkiye Yüzyılı Maarif Modeli Ortaokul Türkçe Dersi Öğretim Programı'nın Dijital Okuryazarlık Açısından İncelenmesi
Authors: Banaz Emrullah
Published: June 2024

Gelişen teknoloji ile beraber okuma ve yazma kavramlarının tanımlarında çeşitli değişmeler meydana gelmiş, dijital cihazlar üzerinden okuma ve yazma eylemi yapmayı temel alan, dijital tabanlı okuryazarlık türleri meydana gelmiştir. Özellikle eğitim öğretim sürecine yönelik hazırlanan programların güncelliği takip etmesi, bir gerekliliktir. Araştırmada 2024 Türkiye Yüzyılı Maarif Modeli Ortaokul Türkçe Dersi Öğretim Programı’nın dijital okuryazarlık açısından incelenmesi amaçlanmıştır. Bu amaç doğrultusunda araştırmada nitel araştırma yöntemlerinden olan doküman inceleme tekniği kullanılmıştır. Araştırmanın örneklemini, Millî Eğitim Bakanlığı tarafından hazırlanan 2024 Türkiye yüzyılı maarif modeli ortaokul Türkçe ders programı oluşturmaktadır. Ele alınan programın her başlığı ayrı ayrı incelenerek, dijital okuryazarlıkla ilgili olan, dijital, teknoloji, yapay zekâ, sosyal medya, genel ağ, video, film, infografik, vlog, e-posta, çoklu ortam, kitle iletişim, web, elektronik, reklam, ekran sanal şeklindeki anahtar sözcükler ile sıklıklarına bakılmıştır. Araştırma sonuçlarına göre 2024 Türkçe Dersi Öğretim Programında, özellikle dijital okuryazarlıkla ilgili en fazla, dijital (f=187), çoklu ortamlar(f=124), ve teknoloji (f=36) kavramlarına yer verildiği dikkati çekerken programda yeni olarak ifade edilebilecek yapay zekâ, infografik, vlog gibi kavramların da kullanıldığı gözlenmiştir. Bu açıdan programın dijital okuma ve yazma kavramlarını, teknolojiyi ve çağın gereksinimlerini gözeterek hazırlandığı ifade edilebilir.