bluuebunny/crossref_metadata_2025 huggingface dataset:
An Analysis on Evaluating the Impact of Marketing Automation on Lead Generation for Amber Logistics Private Limited, Bangalore
Authors:   IV Sem MBA, RR Institutions of Advanced Studies, RR Institutions  Bangalore University, Bangalore, c m Anusha , Murthy Megha K ,   Assistant Professor, RR Institutions of Advanced Studies , RR Institutions  Bangalore University, Bangalore
Published: December 2024

This Analysis investigates the impact of marketing robotization on supereminent generation for Amber Logistics Private Limited, a prominent player in the logistics assiduity. As businesses decreasingly borrow digital strategies, marketing robotization has surfaced as a critical tool for enhancing effectiveness, perfecting client engagement, and generating high- quality leads. The exploration aims to assess how marketing robotization tools can optimize Amber Logistics' marketing sweats, streamline operations, and drive business growth. The Analysis employs a mixed- system approach, combining qualitative and quantitative exploration ways. The Study employed statistical analysis, including T-test, F-test, and ANOVA, to examine the significant difference and relationship between variables. Data analytics were employed to track crucial performance pointers( KPIs) before and after enforcing robotization tools .

KEY WORDS

Marketing Automation, Lead Generation, Logistics Industry, Business Growth, Data Analytics, Customer Engagement.
A Analysis on the Traditional and Modern Techniques of Inventory Management with Special Reference to Aruna Enterprises, Banglore
Authors:   IV Sem MBA, RR Institute Of Advanced Studies RR Institutions, C.B ARUN , R GEETHA ,   Assistant Professor, RR Institute Of Advanced Studies RR Institutions  Bangalore University, Bangalore
Published: December 2024

This study examines the traditional and modern techniques of inventory management with a specific focus on Aruna Enterprises, Bangalore. Inventory management is critical for ensuring operational efficiency, minimizing costs, and meeting customer demand in manufacturing sectors. The research delves into Economic Order Quantity (EOQ) and ABC analysis as traditional techniques while highlighting modern tools like HML analysis. It examines the challenges faced by manufacturers, including inventory optimization, material handling, and procurement, and evaluates the company’s practices over three years. Key insights emphasize the role of advanced inventory practices in enhancing productivity, reducing waste, and maintaining cost-effectiveness. Recommendations are proposed to bridge gaps in inventory handling and integrate sustainable practices. This study aims to serve as a guide for improving inventory management strategies in manufacturing industries, thereby ensuring competitiveness and profitability in the global market. In this study the Statistical tests, such as the Chi-Square test, t-test, and ANOVA, were employed to assess the significance of observed data compared to expected distributions, ensuring robust and accurate conclusions. The findings underscore the importance of prioritizing high-priority and high-value items while optimizing costs and refining inventory strategies in response to evolving demand.

Keywords: Inventory Management, Components Industry, Traditional Techniques, Modern Techniques, Economic Order Quantity (EOQ), ABC Analysis, Just-In-Time (JIT).
An Analysis of Sales and Customer Relationship Management at Emudhra Private Limited, Bangalore
Authors:   IV Sem MBA, RRIAS, RR Institutions  Bangalore University, Bangalore ,, lalmiya Asad , Murthy Megha K ,   Assistant Professor, RRIAS, RR Institutions  Bangalore University, Bangalore
Published: December 2024

This study presents an analysis of sales and customer relationship management (CRM) at eMudhra Private Limited, Bangalore, a leading provider of digital security solutions. With the rapid growth of the digital transformation sector, the company has been pivotal in delivering secure identity and trust solutions, including digital certificates and e-signatures. The research explores the company's sales strategies, CRM tools, and customer engagement practices. By examining how eMudhra utilizes CRM systems to streamline sales processes, manage customer relationships, and enhance customer satisfaction, the study provides insights into the effectiveness of these strategies in driving business growth and client retention. Furthermore, it assesses how eMudhra personalized customer service, data-driven insights, and technological innovations have contributed to building long-term customer loyalty and increasing market share in the highly competitive digital security domain. The findings highlight the significance of integrating sales and CRM for improving operational efficiency and providing superior customer experiences. The study concludes with recommendations for further enhancing CRM practices and aligning sales strategies with customer expectations in an ever-evolving digital landscape
An Analysis on Optimizing Worklife Balance Programmes and Enhancing Employee Satisfaction in HR Initiatives at EDLERNITY, Vidyaranyapura
Authors:   IV Sem MBA, RRIAS, RR Institutions  Bangalore University, Bangalore, P Haritha , Murthy Megha K ,   Assistant Professor, RRIAS, RR Institutions  Bangalore University, Bangalore
Published: December 2024

The balance between work life and personal life has become increasingly important in today's workplace, affecting employee satisfaction, productivity, and retention. This study focuses on evaluating the effectiveness of work-life balance programs at Edlernity, Vidyaranyapura in improving employee satisfaction through innovative HR strategies. The research aims to analyse the current WLB strategies to identify strengths, weaknesses, and opportunities, and propose data-driven solutions for improvement.

Utilizing a mixed-methods approach, the study collects data through structured surveys, semi-structured interviews, and an analysis of organizational HR records. The survey includes employees from different positions and lengths of service to assess how they view current work-life balance (WLB) programs. Interviews with human resources (HR) managers offer insights into the goals and obstacles of implementing these initiatives. The research demonstrates the potential benefits of using data analytics and artificial intelligence (AI) tools to customize WLB strategies based on individual preferences. It also emphasizes the importance of creating a culture that values work-life integration rather than strict work-life separation in order to enhance overall satisfaction levels.

This study adds to the larger conversation on human resource management by highlighting the interconnected nature of organizational objectives and employee welfare. The results are anticipated to offer guidance for HR specialists at Edlernity Vidyaranyapura and comparable companies in crafting enduring and significant work-life balance programs. Through acknowledging employee needs and harmonizing HR approaches with corporate goals, the research strives to cultivate a more involved, content, and productive workforce.
An Analysis on Inventory Management and its Control at Sri Chamundeswari Sugars Limited, Shrinivasapura, Hassan.
Authors:   IV Sem MBA, RRIAS, RR Institutions Bangalore University, Bangalore ,, G R Hruthik , Murthy Megha K ,   Assistant Professor, RRIAS, RR Institutions  Bangalore University, Bangalore
Published: December 2024

The project report was carried on at Sri chamundeshawari sugar limited, on the topic “The study on analysis of inventory management and its control at Sri chamundeswari sugars limited’’ Effective inventory management and control are crucial for the success of any manufacturing organization, including sugar factories. This study investigates the current inventory management practices and control at SCSL, with the aim of identifying areas of improvement and optimizing inventory levels. The project based on the both qualitative and quantitative data collection and analysis method. in this study use for statistical tool of chi-square testing and hypothisis testing.

The study reveals that the factory faces challenges in managing its inventory, including overstocking, stockout, and inefficient storage practices. The research identifies the root causes of these issues and proposes a framework for improving inventory management and control, including the implementation of just-in-time (JIT) inventory system, regular stock audits, and staff training. The study concludes that by implementing these recommendations, the sugar factory can reduce inventory costs, improve efficiency, and enhance overall performance. The research mainly focused on the inventory involved that the firm need to be faced while maintain stock and have to frame the strategies and methods to reduce the inventory, The managers its inventory in appropriate manner can be found as there is no much loss to the firm because of stock. Firm has a well-planned mechanism and strategies for managing the inventory.

KEYWORDS : Inventory Management ,Inventory Control ,Stock Management Inventory Turnover, Economic Order Quantity (EOQ),Just-In-Time (JIT) Warehouse Management, Supply Chain Efficiency, Material Handling
An Analysis of the Challenges in Freight Forwarding for High-Value Goods for Ensuring Security and Compliance at Acumen Intra Logistics Chennai, Tamilnadu
Authors:   IV Sem MBA, RRIAS, RR Institutions Bangalore University, Bangalore, Raj J Macklin Sundar , Shetty Dr. Janardhan G ,   Assistant Professor, RRIAS, RR Institutions Bangalore University, Bangalore
Published: December 2024

This study explores the challenges encountered in freight forwarding for high-value goods, specifically focusing on
security and compliance concerns at Acumen Intra Logistics. As global trade continues to expand, the transportation of
high-value goods has become increasingly complex, necessitating enhanced security protocols and rigorous compliance
with national and international regulations. The analysis examines how Acumen Intra Logistics manages these
challenges, considering both logistical and regulatory factors. Through a detailed survey of employees and stakeholders
within the organization, data on various security risks, compliance adherence, and operational efficiency were collected.
To assess the significance of these challenges, a T-test was applied to compare the differences in perceived risk and
compliance issues across different logistics teams. The T-test helped identify whether the differences in responses were
statistically significant, offering insights into the effectiveness of existing security measures and compliance strategies.
Results indicate that while Acumen Intra Logistics has implemented comprehensive security frameworks, there are still
significant gaps in specific areas, such as real-time tracking and regulatory documentation. The findings emphasize the
need for continuous improvement in both security technologies and compliance training programs. Recommendations
for addressing these challenges are also discussed, focusing on the integration of advanced technologies such as
blockchain and AI, as well as enhanced stakeholder collaboration.
Keywords: Freight forwarding, high-value goods, security, compliance, T-test, Acumen Intra Logistics, risk
management, operational efficiency.
An Analysis on Employees Awareness of Various HR Policies and Office Culture in CEI Design Consultancy Private Limited, Bangalore
Authors:   IV Sem MBA, RRIAS, RR Institutions  Bangalore University, Bangalore, Prithweeraj Nikhitha , Murthy Divya K ,   Assistant Professor, RRIAS, RR Institutions  Bangalore University, Bangalore
Published: December 2024

This Analysis aims to investigate the level of awareness among employees regarding the Human Resources (HR) policies and the prevailing office culture at CEI Design Consultancy. By examining employees' understanding of key HR policies—such as benefits, performance evaluations, grievance handling, and workplace ethics—along with their perceptions of the company’s culture, the study seeks to identify potential gaps in communication, alignment, and overall engagement. The research will employ both qualitative and quantitative methods, including surveys, interviews, and focus groups, to assess employee knowledge and attitudes. The findings are intended to provide actionable insights for improving HR communications, enhancing employee satisfaction, and fostering a more cohesive and inclusive organizational culture.

KEY WORDS

HR Policies, Employees Awareness, Office Cultures, organisation values, Employee Engagement.
Promoting Employee Well-Being and Mental Health: An Analysis of Initiatives at Flipkart, Bommanahalli, Bangalore
Authors:   IV Sem MBA, RRIAS, RR Institutions  Bangalore University, Bangalore, IRFAN SAFTER , Shetty Dr. Janardhan G ,   PRINCIPAL RRIAS, RR Institutions  Bangalore University, Bangalore
Published: December 2024

Employee well-being and mental health are critical for fostering a productive and engaged workforce. This analysis explores initiatives implemented at Flipkart to promote mental health and holistic well-being among employees. Key measures include flexible work policies, counselling support, mental health awareness programs, and innovative digital wellness platforms. Flipkart emphasizes creating a supportive organizational culture by encouraging open communication and work-life balance. The company’s approach integrates preventive care, such as resilience training, and reactive support, like professional counselling services. Results from these initiatives highlight increased employee satisfaction, reduced stress levels, and improved overall productivity. This study underscores the significance of proactive strategies in addressing workplace mental health challenges, setting a benchmark for similar organizations. Recommendations for future improvements and scalability are also discussed.

Key Words:Employee well-being, mental health, Flipkart, workplace initiatives, digital wellness.
An Analysis Techniques of Talent Acquisition of Employees Development with Reference to Bharathi Associates, Hassan, Karnataka
Authors:   IV Sem MBA, R.R. Institute of Advanced Studies, Institutions  Bangalore University, Bangalore, D N SHALINI , MURTHY SHRUTHI ,   Assistant Professor, R.R. Institute of Advanced Studies, Institutions  Bangalore University, Bangalore
Published: December 2024

Talent acquisition is a critical strategic process that significantly contributes to the growth and sustainability of organizations. This study examines the techniques of talent acquisition at Bharathi Associates, Hassan, and their impact on the firm's development. It focuses on recruitment strategies, selection methods, and onboarding practices, exploring the integration of traditional and modern approaches such as digital platforms, employee referrals, and campus hiring to attract and retain talent. The research adopts a mixed-method approach, combining qualitative interviews with HR professionals and quantitative surveys among employees to assess the effectiveness of current practices. The findings highlight that effective talent acquisition not only ensures timely hiring but also improves cultural alignment and employee satisfaction, contributing to organizational success. Recommendations include leveraging advanced tools like AI-driven recruitment systems, enhancing employer branding, and adopting competency-based interviews to optimize the process. This study aims to provide actionable insights to help Bharathi Associates and similar firms align talent acquisition strategies with long-term business goals, fostering organizational development and a competitive edge. This study refers to testing through T-Test and correlation for analysis and interpretation.

Keywords: Talent Acquisition, Recruitment Strategies, Employee Retention, Onboarding Practices, Organizational Development, Bharathi Associates.
Revolutionizing MRI Brain Tumor Detection Through GAN Augmentation and Smart Algorithms.
Authors:   Artificial Intelligence & Data Science, CIT, Gubbi, Rajeshwari Rajeshwari , M G Venuchandan , N M Veerendra
Published: December 2024

The accurate detection and classification of brain tumors in Magnetic Resonance Technology is critical to accurate diagnosis and therapy planning. However, the absence of annotated MR imaging datasets presents a significant challenge for advanced machine learning models, which require a range of data to achieve high accuracy and generalizability. This study provides a novel data augmentation method to enhance MR images for improved tumor identification by combining noise-to-image and image-to-image Generative Adversarial Networks (GANs). Noise-to-image GANs generate synthetic MR images from random noise, expanding the dataset with a range of anatomical variations, whereas image-to-image GANs refine and enhance existing MR images, highlighting important features relevant to tumor detection.

The enlarged set of input data was taken to teach CNN, which was then correlated to a baseline model built solely on the original dataset. The GAN-augmented model beat the baseline cancer sorting and division tasks, as measured by parameters such as accuracy, recall, F1-score, and Dice coefficient. An ablation study verified the independent contributions of noise-to-image and image-to-image GANs, demonstrating that both types of augmentation operate together to improve model performance.

This work illustrates the promise of GAN-based augmentation in medical imaging by giving a realistic solution to data restrictions and improving the robustness of deep learning models in brain tumor detection. This technology provides the way for more accurate and reliable based on artificial intelligence tools for diagnosis that can help medical practitioners make clinical decisions by integrating alternative GAN techniques.

Key Words: GAN-based augmentation, Deep learning, Image augmentation techniques, Generative adversarial networks (GANs)
Machine Learning in Cyber security
Authors:   Scholar Master Computer of Application Babu Banarasi Das University Lucknow, Country, Gupta Tanishq
Published: December 2024

Data science powers cyber security advancements by using machine learning to detect patterns and build intelligent systems. It addresses issues like phishing, network intrusion, and spam detection. By analyzing data, extracting features, and training models, machine learning enhances security. Regular updates and combining models improve accuracy in detecting evolving cyber threats.

Keywords— Security, Machine Learning, Survey, Machine Learning, Intrusion Detection, Spam Cyber security
WORK-LIFE BALANCE AMONG MALAYSIAN FEMALE ENGINEERS: BIBLIOMETRIC REVIEW
Authors: CHEN SUSU , IDRIS NORHALIMAH , FUZI NURSYAZWANI MOHD
Published: December 2024

This study uses bibliometric analysis to provide a detailed overview of research on the work-life balance of female engineers in Malaysia. By examining data from the Scopus database, 3718 relevant documents were identified using keywords related to work-life balance, Malaysia, engineers, and women. The analysis includes various aspects such as the number of sources published over time, the most cited countries, documents by country or territory, frequent keywords, and subject areas. The study offers a thematic overview of the challenges and trends related to the work-life balance of Malaysian female engineers. It also highlights emerging trends in the literature, such as the growing attention to the psychological impact of work-life balance and the role of flexible work arrangements. However, significant gaps remain, particularly in understanding the unique challenges faced by female engineers in Malaysia, indicating a need for more targeted research. The findings reveal that while female engineers play a crucial role in Malaysia, there is insufficient focus on helping them balance their professional and personal lives. This study contributes significantly to understanding this issue and suggests the need for further research in this area.
INFLUENCING FACTORS AND IMPROVEMENT PATH OF TAX COMPLIANCE IN CHINESE SMES
Authors: XIN SHEN , NOR ROSHAZLIZAWATI MOHD , RAZAK SITI SURAYA ABD
Published: December 2024

The purpose of this paper is to explore the influencing factors and improvement paths of tax compliance in Chinese small and medium-sized enterprises (SMEs). Through semi-structured interviews with the staff of 12 SMEs, this study finds that the failure to establish a tax compliance system, the lack of professional competence of SMEs' tax staff, the failure to use tax incentives correctly, and the complexity of tax laws and regulations are the main obstacles affecting SMEs' tax compliance. Based on the results of the study, this paper puts forward targeted suggestions to improve the tax compliance level of SMEs, with a view to providing references for the government to improve tax policies and SMEs to improve their tax management level.
SIGNIFIKANSI PERAN AKTIF MASYARAKAT DALAM PENGELOLAAN DANA DESA UNTUK MEMBANGUN DESA
Authors: Permatasari Aditya Eka
Published: December 2024

Dana Desa, sebagai kebijakan untuk memberdayakan masyarakat, telah diimplementasikan sejak tahun 2015 melalui Undang-Undang Nomor 6 Tahun 2014 tentang Desa dan Peraturan Pemerintah Nomor 43 Tahun 2014 sebagai aturan pelaksanaannya. Sebelum adanya Dana Desa, kondisi ekonomi, sosial, dan infrastruktur di Desa Karangrejo sangat memprihatinkan. Sejak adanya Dana Desa, infrastruktur desa perlahan-lahan membaik dan berdampak positif pada taraf hidup masyarakat. Salah satu faktor penentu kesuksesan ini adalah partisipasi aktif masyarakat dalam perencanaan dan pelaksanaan pembangunan yang didanai oleh Dana Desa. Penelitian ini menggunakan metode deskriptif kualitatif dengan pengumpulan data melalui wawancara, observasi, dan analisis dokumen. Responden utama dalam penelitian ini termasuk kepala desa, perangkat desa, anggota Badan Permusyawaratan Desa, Tim Pelaksana Kegiatan, dan warga desa yang menerima manfaat dari program pembangunan. Hasil penelitian menunjukkan bahwa pengelolaan dana desa di Desa Karangrejo sudah cukup baik, dengan alokasi dana yang tepat sasaran untuk berbagai proyek infrastruktur seperti pembangunan jalan, saluran irigasi, dan fasilitas umum lainnya. Namun, terdapat beberapa kendala dalam pelaksanaannya, seperti keterbatasan sumber daya manusia yang kompeten dan kurangnya keterbukaan informasi. Penelitian ini menyimpulkan bahwa partisipasi aktif masyarakat memiliki dampak signifikan terhadap peningkatan pembangunan dan kesejahteraan masyarakat desa.
The Influence of Financial Literacy, Lifestyle, and Financial Inclusion on the Financial Management of Catholic Youth (OMK) of the Diocese of Maumere with Locus of Control as Moderation
Authors: Wangge Patrisius Raymond , Kusuma Putu Sri Arta Jaya
Published: December 2024

This study aims to analyze the influence of financial literacy, lifestyle, and financial inclusion on the financial management of Catholic Young People (OMK) of the Diocese of Maumere, with the locus of control as a moderation variable. Using a quantitative method with an associative approach, data was collected through a questionnaire from 335 OMK respondents spread across 41 parishes in the Diocese of Maumere. The data was analyzed using Smart-PLS version 3. The results showed that financial literacy and financial inclusion had a significant positive effect on financial management, while lifestyle had a significant negative influence. Locus of control has been proven to strengthen the positive influence of financial literacy and financial inclusion, as well as weaken the negative influence of lifestyle on financial management.  This study concludes that financial literacy, financial inclusion, and locus of control are important factors that support more optimal financial management among OMK, while consumptive lifestyle is a challenge that needs to be overcome. Practical implications of this study include providing guidance to OMK and pastoral ministers to improve financial management skills, as well as recommendations for policymakers to improve financial literacy and access to financial services for young people.
The Influence of Internal Environmental Capabilities on Sustainable Competitive Advantage through Green Innovation with Corporate Reputation Moderation: A Study on Natural Dye Batik SMEs in Yogyakarta
Authors: Sabrina Nadia
Published: December 2024

This study aims to analyze the influence of internal environmental capabilities on sustainable competitive advantage mediated by green innovation and the role variable of corporate reputation that affects the relationship between green innovation and sustainable competitive advantage. This study uses a quantitative method with a survey research design. The research sample is 72 batik SMEs with natural dyes in the Special Region of Yogyakarta. Data analysis uses the smartPLS 4.0 technique. The results of the study show that there is an indirect influence between the ability of the internal environment to sustainable competitive advantage, namely through the variable of green innovation. This study did not find any direct influence between internal environmental capabilities and sustainable competitive advantage. Furthermore, another finding is that the Company's reputation strongly influences the relationship between green innovation and sustainable competitive advantage. These findings have implications for practitioners to develop green innovations to achieve sustainable competitive advantages for their SMEs.
Development of Clutch Design Using Waste Wood bark, Nuts and Coconut Fiber
Authors: Soeprapto Etwin Fibrianie , Maulita Maulita , Patayang Mika
Published: December 2024

Currently, we often encounter household waste and workshop waste, such as wood shavings, peanut shells and coconut fiber waste. Many studies have raised the topic of composite processing of each of them, but the potential of composite boards from a mixture of the three is not yet known. This study on the processing techniques for the combination of the three materials is needed so that the potential of the material can be explored more. The board was studied for its processing techniques using an experimental approach and qualitative methods. The form of the experiment in the form of physical and mechanical tests was carried out on the composite board, to then conduct further studies on the development of composite board products into women's fashion products in the form of bags through the preliminary design, development and finishing product methods. The results of this study were obtained composite materials of wood powder, peanut shell powder and coconut fiber having a board density of 0.8 gr/cm3 and MOR 2.06 kg/cm2, which means that the density of the particle board has a very low flexural strength and is not suitable for construction boards, but can be used as a material for making women's clutches. With the Preliminary Design, Design Development, and Final Design methods for composite board materials, an elegant clutch design was produced by displaying the distinctiveness of Indonesian culture, Kalimantan motif tumpar embroidery.
8th Grade Students' Opinions on 3D Virtual Laboratory Applications
Authors: Kardes Halil , Aydogdu Cemil
Published: December 2024

Experimental applications in science education make learning more meaningful, and learning without experimenting cannot be fully absorbed. However, increasing costs, time constraints and risk factors that may occur during the application make hand-made experiment activities difficult. The aim of this study is to examine the effect of the 3D virtual laboratory application prepared for science education on students, unlike traditional plain lecture teaching, and to reveal the opinions of students who are taught with the application. In this context, the research was conducted on 5 8th grade students in Konya province in the 2021-2022 academic year with the 3D virtual laboratory application prepared for the science unit "Matter and Industry". After the research, a semi-structured interview was conducted in which open-ended questions were asked to the students about the applications and the process, and the students' verbal opinions were taken. During the interview, student conversations were recorded on the computer and then transcribed and examined. As a result of the interviews with the students, it was seen that the effects of 3D virtual laboratory applications on students were very positive. In addition, considering cost, time and risk factors, it can be suggested that virtual laboratory applications may be preferred to handmade activities.
Exploring Common Misconceptions on the Cell Concept
Authors: Silaban Oky Rizkiana , Purwianingsih Widi , Kusnadi Kusnadi , Pranoto Hendro
Published: December 2024

The concept of cells is the basis of understanding in biology because this concept forms an understanding of various biological processes and structures. However, there are still many students who have difficulty in understanding it. This study aims to identify and analyze the misconceptions that often occur in the concept of cells, the causes of misconceptions and methods to uncover misconceptions. In this study, we systematically reviewed of ten scopus indexed articles and eight nationally indexed articles. The literature review was conducted by searching, screening, analyzing, and synthesizing the articles. The results of the literature review showed that some common misconceptions in cell concepts include misconception about cell structure, cell organelle function, membrane transport, and cell division. Misconceptions that occur are also caused by two factors, namely factors from students and from outside students. Factors from students are their prior knowledge and confidence level. External factors include books, peers, and teachers. There are several methods that can be used to uncover misconceptions such as open-ended questions, multiple choice, diagnostic test, interview, and drawing test. The results of identifying misconceptions can be used as a reference or consideration for teachers and students so that they are more careful when learning cell concepts. This research can also be used as material for improvement from the teacher factor, because misconceptions are retention, it is necessary to improve learning strategies that pay attention to these misconceptions that can improve students' understanding of cell concepts and improve student learning outcomes.
Literature Review: How do Leadership and The Principal’s Leadership Style Affect Teacher Performance?
Authors: Sapitri Riris , Purwanto Nurtanio Agus
Published: December 2024

There is still debate on whether leadership and principal’s leadership styles have an influence on teacher performance. This article is a literature review study that explains the influence of leadership and principal’s leadership styles on teacher performance. The literature review is compiled based on previous studies that are relevant to the topic discussed. The technique used in selecting articles is by considering keywords and year of publication. The keywords that became the reference for the selection of articles used were principal leadership, principal leadership style and teacher performance. Furthermore, the year of publication of the article was considered only articles published in the last ten years. The criteria of the articles used in this literature review study are: 1) focused on the influence of principal leadership and principal leadership style on teacher performance; 2) articles could be published in national or international journals; 3) articles were published in the last ten years; 4) contained the keywords principal leadership and teacher performance. The articles used as references for this literature review totalled eleven national journal articles. The results show that there is a significant positive influence between principal leadership and teacher performance. Likewise, the principal's leadership style has a significant influence on teacher performance. Therefore, it is important for principals to increase leadership and improve leadership style as an effort to improve teacher performance. This article is expected to be a reference for education stakeholders to improve principal leadership and teacher performance. Further research needs to be conducted thoroughly in order to provide clearer results because some studies reveal that leadership and principals' leadership style have no significant effect on teacher performance.
Teacher-Researchers in Morocco: A Phenomenological Study
Authors: Jafari Bouchra , Yousfi Abdellah , El - Ouazzani Yahia
Published: December 2024

In order not to stay on the surface of things and especially not to sink into easy ways, we have decided to respond in an unstoppable and uncompromising way to several suspicions, which gradually take hold as data analysis from the scientific production of teacher-researchers progresses. The objective was clearly to find an econometric method which does not distort or undermine the final results, hence the use of the phenomenological approach which allowed us to analyze from every angle, the impact of individual and professional characteristics of teacher-researchers on the volume of their scientific production. Indeed, since using the phenomenological approach, we have been able to discover that there is a mediating variable among the explanatory variables. This is influenced by certain sociocultural and demographic characteristics of teacherresearchers, while being a determinant of their scientific production. Consequently, the descriptive phenomenological analysis has also shown that it is possible to formulate hypotheses about some determinants of the scientific production of teacher-researchers at FSJES-Souissi. These hypotheses will be the subject of a second article and will be tested by a structural equation model estimated on data collected from 136 teacherresearchers at FSJES-Souissi.
Identity and Daily Life of Turkish Women in Turkestan Region and Shimkent City
Authors: Nakipbayeva Zhanar
Published: December 2024

The paper focuses on the results of a qualitative study conducted in the southern part of Kazakhstan for 1 year in 2023. The paper analyzes the results of the research project "Women from ethnic communities (Turkestan region and Shymkent city) as a channel for the reproduction and formation of civic and ethnic identity", funded by the Ministry of Science and Higher Education of the Republic of Kazakhstan. The paper focuses on the analysis of the socio-cultural characteristics of Kazakhistani Turkish women, their role in the family and society. The key theme of the paper is the identification of Turkic women and their social portrate. The study is based on qualitative methods and includes in-depth interviews with representatives of the Turkic diaspora of the Turkestan region and Shymkent city (large regions of Kazakhstan). The results of the study show that Kazakhistani Turks deported during the Soviet period have preserved a significant part of their ethnic identity, including language, traditions and family values. Despite the traditional division of gender roles, many Turkish women have university degrees and actively participate in the social life of their communities. The study also reveals that Kazakhistani Turks have successfully integrated into Kazakhistani society while preserving their ethnic identity. As a result, the study emphasizes that although they actively participate in the political life of the country, they also take into account many issues in daily life, such as the role of women in society, their dreams and disappointments.
A Numerical Approach to Predict the Flexural Response of Simply Supported Nonhomogeneous and Non-Slender Graded Beams
Authors: ALLALA Baya , SI - SALEM Abdelmadjid , AIT - TALEB Souad , KHELOUI - TAOUCHE Fatma , FERHAT Soraya
Published: December 2024

In recent years, one promising avenue to optimize material design is the development of functionally graded materials (FGMs), which represent a new generation of composites with tailored mechanical properties. These properties vary continuously according to a function-law, allowing FGMs to mitigate issues like interfacial debonding and stress concentration. Accordingly, this study focuses on simulating the mechanical behavior of simply supported FGM non-slender beams under bending using finite element modeling (FEM). The numerical procedure and the loading setup as well as the implementation the power-law function which governs the stiffness distribution of the used metal and ceramic materials are explicitly presented. In addition, an optimal mesh size is determined for the modeled FGM beams. The numerical results show the effect of material exponent index and beam span ration on displacements and stresses distributions. The validated FEM-tool developed in this work provides a reliable means for estimating the elastic flexural response of non-slender graded beams under bending.
Tackling FSO-WDM System Challenges with Artificial Neural Networks: A Comprehensive Analysis
Authors: KEBAILI Rima , DRIZ Samia , FASSI Benattou
Published: December 2024

The integration of Free-Space Optical (FSO) communications with Wavelength Division Multiplexing (WDM) offers significant advancements in high-bandwidth, high-capacity systems. However, FSO-WDM systems face challenges due to atmospheric impairments and channel fading. Traditional mitigation techniques often struggle to address these complex and dynamic issues. Recently, Artificial Neural Networks (ANNs) have emerged as powerful tools for learning and adapting to system behaviors, providing novel solutions to enhance FSO-WDM performance. This study analyzes FSO-WDM systems, focusing on applying ANNs to predict channel attenuation accurately and enabling more stable transmission. An OptiSystem simulation was conducted across various transmission distances and climatic scenarios, with Q-Factor and Bit Error Rate (BER) as input features and channel attenuation as the target variable. Following preprocessing, the dataset was split into training, validation, and testing sets. The ANN model, implemented in MATLAB, consisted of an input layer, a hidden layer with 10 neurons, and an output layer. Performance was evaluated using Root Mean Square Error (RMSE) and R-squared (R²) metrics. The trained ANN model demonstrated an optimal mean squared error of 0.23439 and strong correlation between predicted and actual attenuation, with R² values of 0.99907 for the training set and 0.99745 for the validation set. These results confirm the model's robustness in accurately predicting channel attenuation across varying conditions.
Integrated Best-Worst Method and Gray Relational Analysis for Hospital Location Selection: The Case of Burdur Province
Authors: TOKSOY Mustafa Serdar
Published: December 2024

The hospital location (site) selection problem involves determining the most suitable location for a healthcare facility. As a multi-criteria decision-making (MCDM) problem, it requires the evaluation of several factors, including strategic, economic, and social considerations, due to the direct impact hospital locations have on public health. To make an optimal decision, MCDM methods are typically employed to accurately assess the relevant criteria. These methods assist decision-makers in evaluating various factors and determining the best location for the hospital. This study focuses on selecting a site for a private hospital planned for Burdur Province, where no private hospital currently exists. In this context, three alternative locations were evaluated based on expert opinions from academicians, health managers, and urban planners. In the first phase of the study, the Best-Worst Method (BWM) was used to calculate the criteria weights, allowing for the subjective evaluation of multiple factors. Following this, the Gray Relational Analysis (GRA) method was applied to determine the most appropriate location by assessing the degree of similarity or dissimilarity between the alternatives. This combination of methods enabled the ranking of the alternatives, ultimately identifying the best site for the hospital.
Evaluation of Glutathione-Related Antioxidant Enzyme Activity in Patients with Polycystic Ovary Syndrome (PCOS) and Investigation of Clinical Correlations
Authors: AL - QAYSI Ali Hameed Mahmood , ADEM Sevki , ALI - ALI Omeed Akbar
Published: December 2024

The aim of this study was to illustrate the importance of glutathione-associated enzymes as vital markers of antioxidant/oxidant activity in PCOS disease. Our study comprised a cohort of forty patients, all of whom were above the age of 18 and had been diagnosed with Polycystic Ovary Syndrome (PCOS) according to the 2003 Rotterdam diagnostic criteria. In addition, we recruited forty healthy individuals who were free from any metabolic disorders. The Rotterdam diagnostic criteria for polycystic ovarian syndrome consist of three main factors: oligo-anovulation, clinical and/or biochemical hyperandrogenism, and ultrasonographic confirmation of polycystic ovaries. Individuals who satisfied at least two of the three criteria were categorized as having Polycystic Ovary Syndrome (PCOS). The levels of gamma-glutamyl transferase (GGT) and deltaglutamyl cysteine synthetase (ꝩ-GCS) in serum samples from both patients and controls were measured using the enzyme-linked immunosorbent assay (ELISA) technique. The study examined the levels of essential enzymes involved in glutathione metabolism in patients with PCOS. The enzymes displayed significant differences between PCOS patients and control groups, indicating that glutathione metabolism plays a pivotal role in the progression of this disease. After conducting correlation analysis, it is clear that enzymes have a reciprocal impact on the progression of the disease. The analytical findings suggest that there was no statistically significant disparity in GGT levels between the PCOS group and the control group (p>0.05). The levels of ꝩ-GCS were significantly higher in the PCOS group compared to the control group (P< 0.05). Considering the involvement of ꝩ-GCS in the process of glutathione catalysis, it is postulated that its concentrations would increase in response to an elevation in glutathione levels. Our analysis of the available evidence leads us to conclude that glutathione will exert a substantial influence on the mechanism of PCOS. Polycystic ovarian syndrome (PCOS) is a notable medical illness that frequently affects women and has a substantial influence on their overall well-being.
Removal of Carcinogenic Direct Azo Dyes from Aqueous Solution Using a Functional Biopolymer
Authors: MOULAHCENE Lamia , OUGHLIS - HAMMACHE Fadila , KEBICHE - SENHADJI Ounissa , SKIBA Mohamed
Published: December 2024

In this study, a batch system was used to investigate the adsorption methyl violet from aqueous solution onto a β-cyclodextrin polymer synthesized with citric acid as a crosslinking agent. Several operational variables were tested. The results showed that increasing the amount of adsorbent improved the removal efficiency. Higher temperatures also enhanced dye adsorption, while ionic strength had no significant effect on the process. A slight decrease in removal efficiency was observed as pH values increased. FTIR spectra revealed the formation of a complex inclusion, which was identified as the dominant adsorption mechanism; this was further confirmed by the absence of the characteristic peaks of methyl violet in β-cyclodextrin polymer after adsorption.
Thermal Agitation Study on a 90° Surface of the Radius of Curvation of an Elbow
Authors: MAACHOU Sofiane , MOULAI - KHATIR Djezouli , BENBAKHTI Abdeldjalil , MOKHTARI Mohamed
Published: December 2024

The straight sections of steel pipes are subjected to accumulated loads over the course of their service life, which in most cases are highly damaging. Under ambient temperature conditions, the proposed reinforcement to improve the strength of these structures by thermal agitation in A510AP grade steel bends (used in the manufacture of LPG gas tanks and pipes) under mechanical behavior and different bending moment loads, opening and closing, was studied in this work by FEM, and by using the numerical calculation code ABAQUS as well as the XFEM technique with solid elements as structure, our objective is to evaluate the effect of loading mode, internal pressure level, thermal agitation surface and time of this agitation which is expressed by the graduation exponents of the HAZ in the tubular structure in a steel bend under mixed pressure and moment loading. Numerical damage results are presented in the form of moment-rotation curves. They illustrate the variation in damage as a function of these simultaneously acting effects.
Experimental Study of Acoustical Properties of Recycled Rubber Panels
Authors: IVANOVA Yonka , PARTALIN Todor
Published: December 2024

This paper is focused on the characterization of multilayer acoustic panels made from recycled rubber waste produced by the Zebra factory in Bulgaria. The acoustical characteristics of rubber samples as well as three-layer panels were investigated to determine their applications as sound barriers or resilient flooring. The experiments to determine the sound absorption and sound reflection coefficients were carried out in laboratory conditions using the standing wave method in the frequency range from 100 to 2000 Hz. The potential of recycled materials to reduce airborne and impact noise was investigated and discussed. The sound insulation coefficients of recycled rubber panels were determined by the "two-chamber" method in the frequency range from 100 to 4000 Hz. For this purpose, small acoustic chambers were constructed and tested. The dynamic properties (dynamic stiffness and damping ratio) of the experimental materials were also investigated by an impact test. The obtained results have been discussed and analyzed with a view to evaluating the possibilities of application as acoustic barriers and flooring.
Simulation Study of Electronic Band Diagram Engineering and Electrical Parameters to Boost the Photovoltaic Performance of Novel Rb2PtI6 Double Perovskite Solar Cell
Authors: MAMOUN Souheyla , MERAD Abdelkrim El - Hasnaine , BENMANSOUR Amina
Published: December 2024

It was shown recently that the double perovskite Rb2PtI6 exhibits excellent electronic and optical properties that are relevant for photovoltaic applications in particular. Herein, we report deep simulation results of a novel high-performance lead-free halide double perovskite solar cell (PSC) with the architecture FTO/ZnSe/Rb2PtI6/MoSe2/C. The thicknesses of all layers such as: FTO, hole transport layer (HTL), Rb2PtI6 absorber and electron transport layer (ETL) for the device were optimized. The role of electronic band diagram engineering is demonstrated to be essential for the photovoltaic performance of the solar cell. Moreover, the effects of capacitance (C-V), Mott–Schottky (M-S) characteristics, generation and recombination rates, series resistance (𝑅𝑠 ) and shunt resistance (𝑅𝑠ℎ) on the current-voltage characteristics (J-V), and quantum efficiency (QE) are analyzed. Our obtained results shows that this best proposed Rb2PtI6-based device can serve as a potential eco-friendly high efficiency solar cell candidate due to the chemical stability and non-toxicity of its active layer. The best obtained efficiency 𝑃𝐶𝐸 reaches 20.54 %, with short circuit current density 𝐽𝑆𝐶 of 34.41 𝑚𝐴/𝑐𝑚2 , open circuit voltage 𝑉𝑜𝑐 of 0.79 𝑉 and fill factor 𝐹𝐹 of 75.8 % compared to the initial 𝑃𝐶𝐸 of 12.94 %. To validate our results, we compared the simulation outcomes with other similar double PSC cells previously published. Good agreement is obtained with experimental and simulation studies.