bluuebunny/crossref_metadata_2025 huggingface dataset:
ROLE OF DIGITAL LEADERSHIP IN TRANSFORMING B-SCHOOLS
Authors: Mukhopadhyay Dr. Kankana , Prathima V G Dr.
Published: June 2024

Business schools in India operate in a highly competitive and turbulent market. The one of the most critical challenges for a B-School offering PGDM program is technological innovation. E-learning is creating a massive challenge as well as a huge opportunity for B-Schools across the world. Massive Open Online Courses (MOOCs) is opening a new platform for fresh graduates to explore the digital learning platform at a nominal price. It also helps the professionals who have the learning appetite but are unable to manage time. Furthermore, there are several companies who are customizing the training needs for executive education at a much cheaper price than the B-School offers. Due to technological advancements, the digital world is imposing challenges which are difficult to react and manage by the B-Schools. The B-Schools are also not able to capitalize the opportunities created by the digital world unless they are digitally prepared for this change. This change management requires digital mindset of the business leaders. This chapter aims to identify the personality attributes of the digital leader(s) a B-School needs to possess in order to be in a digitally strategic advantageous position in comparison to its competitors.
IMPACT OF E-HRM PRACTICES ON IT PROFESSIONALS IN THE INFORMATION TECHNOLOGY INDUSTRY
Authors: Ganeshan M. K. , C. Vethirajan Dr.
Published: June 2024

In the knowledge economy, current top-level leaders fully understand the superior power of IT sector-related best practices for quickly reaching business-related targets. The operation of IT systems helps not only to perform the distinct company’s goals but also to optimize the employee workforce processes at a particular time. The trends and outcomes of the present contemporary scenario constantly confirm the involvement of IT practices in the HRM area. The source of designated HR duties uses IT capabilities for the betterment of the organization and takes on the activity of e-HRM. The e-HRM uprising depends on cutting-edge IT, extending from internet-enabled HRISs to company intranets and portals. The dynamic situation forces are raising competition, the necessity to handle employees on a worldwide level, increasing HR service delivery, and cost savings. So the potential of IT practice in HR-related activities for measuring routine and tracking of human capital, especially employee performance, with the help of the HR information system generally With the Corona virus (COVID-19) epidemic, the world has been forced to become electronic and digitized, and it is far more significant to keep track of advancements in the knowledge of employees and management through the practices called "e-HRM."
AN OVERVIEW OF THE NUMERICAL MODELLING AND MONTE CARLO SIMULATION OF REHEATING FURNACES
Authors: Maurya Abhinav , Katiyar Prvan Kumar , Singh Prince Kumar
Published: June 2024

Extensive research has been conducted in the past 30 years to investigate the heat characteristics of sheet/sheets in different furnaces featuring an emerging thermal environment. The study comprises two approaches: numerical modelling using CFD and the Monte Carlo method. Numerical modelling using commercial codes for industrial scales has been documented. This methodology involves solving the Navier-Stokes equations, which are based on conservation equations for mass, momentum, energy, and species. The goal is to predict the heat transfer from radiation into the reheating furnace enclosure and the conductive heat transfer within the steel slabs. Monte Carlo simulation was employed to derive the view factor matrix in a separate investigation. Various methods were employed to solve conduction and radiation problems and predict plate temperature profiles. Different categories of research encompass a wide range of modelling techniques and methodologies. These include the study of turbulent jet flow of fuel gases, convective and radiative phenomena in furnaces, slab conduction phenomena, and the calculation of view factor matrix.
FABRICATION OF AUTOMATED HYDROPONIC FARMING SETUP
Authors: Ali Saif , Srivastava Vinayak , Malik Aasif , Yadav Amrita , Prashant Saini Dr.
Published: June 2024

With the rise of civilization, open-field agriculture is encountering significant challenges, particularly the decrease in per capita land availability. In 1960, when the global population was 3 billion, the per capita land was 0.5 hectares. However, with the current 6 billion people, it has dwindled to only 0.25 hectares, and projections indicate it will further decline to 0.16 hectares by 2050. This decline is exacerbated by rapid urbanization, industrialization, and the melting of icebergs due to global warming, which further reduces arable land for cultivation. Another issue is the saturation of soil fertility and the stagnation of productivity despite increased fertilizer usage. In addition, certain cultivable areas suffer from poor soil fertility, with limited opportunities for natural fertility build up by microbes due to continuous cultivation. Frequent drought conditions, unpredictable climate, and weather patterns, rising temperatures, river pollution, inadequate water management, excessive water wastage, and declining groundwater levels also pose threats to conventional soil-based agriculture and food production. In light of these circumstances, relying solely on open-field agricultural production will soon make it impossible to sustain the entire population. Consequently, soil-less culture has gained relevance in addressing these challenges. This method involves cultivating plants without soil, utilizing improved techniques that conserve space and water. Soil-less culture has demonstrated promising results worldwide as a means of food production. This paper discusses the way to automate a small-scale hydroponics system by building a computerized system consisting of: Microcontroller pH sensor EC sensor (to measure nutrient level in solvent) Temperature sensor Fluid pumps connected to pH- and nutrient reservoir
DEVELOPMENT OF A SMART RAILWAY PLATFORM SYSTEM
Authors: Saha Jatismar , Choudhuri Rohan , Kalita Dipankar , Swarnakar Jaydeep
Published: June 2024

Public safety at railway stations is a critical issue, as there is a risk of accidents involving trains, especially in crowded areas such as overhead bridges and elevators. This paper presents the development of a Smart Railway Platform (SRP) system, which is an automation technique that utilizes technology to improve safety and accessibility on railway platforms. The developed SRP system is tested in a real-world setting, and is found to be effective in preventing accidents and improving the safety on the railway platform. It has the potential to improve the accessibility of the disabled individuals. The paper also highlights the challenges and limitations of the SRP systems, and it explores the future of this technology.
HOW PET PREFERENCE VARIESWITH THE VARIATION IN TRUST& OTHER PERSONALITY FACTOR
Authors: Sengupta Janhabi , Anwesha Chakrabarti Dr. , Suchishmita Sinha Dr.
Published: June 2024

Background: A very common reason of people adopts a pet is for companionship. Dogs can serve as a deterrent to intruders and can alert their owners to potential danger, cats are known for their ability to reduce stress and anxiety, making them a well-liked option for people seeking a relaxing presence in their house. While dogs are known for their loyal and protective nature, cats can provide a sense of calm and require less maintenance. The aim of the study is to examined the differences in trust and other personality traits between persons who prefer dogs and people who prefer cats. Method: A comparative study was done among the 60 participates (33 dog owners 27 cat owners) using General Trust Scale & NEO-FIVE-FACTOR-INVENTORY. Result: The result of t-test shows that there is a significant difference in dependency & faith item of trust factor among the dog owners & cat owners. The dog owners show high mean score in dependency and faith item of trust than the cat owners. Also the result of t-test shows that there is a significant difference in neuroticism, openness to experience, agreeableness, conscientiousness among the dog owners and cat owners. The dog owners show high Mean score in openness to experience, agreeableness, and conscientiousness this three item than the cat owners. However, the cat owners also show high mean score on neuroticism than dog owners in personality factors.
FACTORS INFLUENCING TRIBAL EDUCATION
Authors: Burghate Krutika , Surendra Herkal Dr.
Published: June 2024

The article critically examines the causes of illiteracy among tribes, their expe-riences, voices and thereby finding the factors influencing their education. It argues that the government policies, programs and laws are not adequately implementing the programs at root level or it may, in fact, not enough to follow the principle of ensuring greater equity. The article is completely based on the survey conducted in Chandrapur district to support arguments for the need of constructing the appropriate provisions and the implementations of educational policies and schemes for scheduled tribes in India. The low literacy rate, high dropout rate, non-enrolment, poor academic achievement reports, and approaches towards the schemes to avail the benefits in tribal children are examined and some searching questions are asked about why there is lack of interest in school education among so many tribal people.
THE IMPACT OF COVID-19 ON MYANMAR TOURISM
Authors: Htun Nay Myo
Published: June 2024

COVID-19 spread all over the world. Almost all the business sectors of the world are affected by this global pandemic. Tourism sector is not a single industry, but it is connected with many other industries directly or indirectly. Tourism sector is important for Myanmar because this sector contributes GDP for the country. This research paper points out the tourism sector of Myanmar and the impact of COVID-19 on tourism sector. In this paper, the difference between the number of international visitors and impacts on Myanmar Tourism sector are mentioned. This research paper gave the recommendations to rescue the tourism sector.
SPIRITUAL SOUND AS THE ESSENCE OF CONSCIOUSNESS IN DIFFERENT WORLD RELIGIONS- A FUTURISTIC APPROACH FOR A UNIFIED WORLD RELIGION
Authors: Mathur Reena
Published: June 2024

Different faiths around the world perceive the spiritual essence as the conscious self and uphold the significance of sound. These various religious traditions, while following distinct routes to fathom the ultimate reality, often converge in their underlying objectives. They expound upon the essence of consciousness, its multifaceted dimensions, its materialization in divine embodiments, and the methods and approaches for cleansing it in order to achieve self-realization, salvation, and other spiritual goals. With basic scientific understanding and universal law of physics that any type of moving energy or force current is inherently accompanied by sound, or what we can call sound-current. Furthermore, each sound-current inherently carries the distinctive attributes of its origin and engenders an energy field in its vicinity. If we accept this premise, then it logically follows that the primordial source of energy, which is the spiritual energy residing within us and animating our existence, must manifest itself through spiritual sound currents, giving rise to spiritual sounds. This paper tries to explore “Sound as the Essence of Consciousness in Different World Religions” and paves the way for logical establishment of a futuristic approach for a Unified World Religion.
RISK DETECTION AND CYBER SECURITY FOR THE SUCCESS OF CONTEMPORARY COMPUTING
Authors: Radha Mrs. D. , Prasanna Dr. S.
Published: June 2024

Cybercriminals have been searching for methods to take advantage of software flaws and engage in destructive activity since the dawn of the computer revolution. On computer networks and mobile devices, there are a variety of cybercrimes that attempt to violate users' data privacy every day. The world is getting more and more digitalized, which is causing security issues and a critical need for strong and cutting-edge security technologies and tactics to battle the increasingly complex complexity of cyber-attacks. The fight against cybercrime has given rise to a wide variety of machine learning approaches. We covered cyber security attacks in this article, as well as machine learning & deep learning methods that are essential for risk assessment and cyber security. According to the findings, machine learning algorithms offer more accuracy than some. According to the findings, machine learning techniques are more accurate than some deep learning approaches.
USING FUZZY CONTROL CHARTS FOR PREVALENCE OF VITAMIN DEFICIENCY AMONG INDIAN CHILDREN: FINDINGS FROM A NATIONAL CROSS-SECTIONAL SURVEY
Authors: Sasikumar R. , Rajesh S. , Arriyamuthu P.
Published: June 2024

To sequentially monitor the average and variability in a national cross-sectional survey, fuzzy x̅ and s charts are commonly employed techniques that require the data to be represented as real numbers. When applying these methods, it becomes evident that constructing fuzzy control charts offers enhanced flexibility, greater mathematical convenience, and more rational outcomes compared to traditional quality control chart methods. In this study, we have introduced fundamental concepts and key insights related to the use of control charts within a fuzzy framework for the purpose of monitoring sequential variations in both average and variability. Our specific focus has been on assessing vitamin deficiency among children aged 1-5 years in India by analyzing data obtained from the most recent nutritional survey.
LATEST TRENDS IN PREDICTION ALGORITHMS
Authors: Rao N. Chiranjeeva , Pillai Dr. Jyothi
Published: June 2024

This chapter explores the latest trends in prediction algorithms across various domains and industries. It provides an overview of traditional prediction techniques and discusses the advancements and emerging approaches that have revolutionized the field. The chapter highlights the use of machine learning, deep learning, ensemble methods, and other cutting-edge techniques in prediction algorithms. It also discusses the challenges and opportunities associated with these trends and provide insights into the future directions of prediction algorithms.
SPELLING ERROR DETECTION AND CORRECTION METHODS FOR INDIAN LANGUAGES - A STUDY
Authors: Mishra Padmadhar , Pillai Jyothi , Thomas Ani
Published: June 2024

Spelling error detection techniques play an important role for any language. While composing the written document, spelling errors appear. Newspapers, information retrieval, search engines, and other applications require user input. Languages such as English are extremely strong and can tolerate any form of spelling mistake. but efficient spelling checkers are not available for Indian language [1]. The authors conducted studies on the developing approaches and responsibilities of spell checkers in various applications based on Indian languages.
EMERGING TRENDS IN MULTIMODAL BIOMETRIC RECOGNITION
Authors: Prerna Ms. , Atal Dinesh Kumar , Indora Sanjeev
Published: June 2024

This chapter provides an in-depth analysis of multimodal biometric frameworks, which incorporate various biometric modalities to improve the exactness and unwavering quality of biometric ID and confirmation. The chapter presents a far-reaching survey of the current literature, featuring the different modalities utilized in multimodal frameworks, for example, fingerprints, face acknowledgment, iris checking, voice acknowledgment, and more. It discusses the advantages and challenges associated with using multiple modalities and explores the algorithms and techniques used for fusion and decision-making in multimodal biometric systems. Furthermore, this chapter examines the applications and potential future developments in this field. The review aims to provide researchers, practitioners, and decision-makers with a comprehensive understanding of multimodal biometric systems, their strengths, limitations, and potential for advancements.
ADVANCES IN SPAM DETECTION TECHNIQUES AND APPROACHES
Authors: Prince E Seethal , K.M Mahesh
Published: June 2024

Short Message Service (SMS) is an application that allows users to send short messages via mobile phones. Over the past few years, SMS has grown into a highly profitable industry as mobile phones have become more prevalent. Unwanted, unexpected, and potentially malicious messages are spam. An area of artificial intelligence is referred to as machine learning. Using algorithms and data, this area aims to steadily increase the accuracy of its models by mimicking how people learn. Classifiers based on machine learning are usually used to predict spam SMS. Based on the wording in the message, these algorithms can categorize SMS messages as spam or ham. The objective is to demonstrate a machine learning model that is effective at classifying messages as ham and spam.
EXPLOITING SYNERGIES FOR IMPROVED APPLICATIONS THROUGH THE FUSION OF DEEP LEARNING AND MACHINE LEARNING
Authors: Jansi B. , Jayasree S. , Sumalatha Dr. V.
Published: June 2024

Deep learning and machine learning are two prominent fields within the domain of artificial intelligence that have revolutionized various industries. This abstract explores the concept of fusion, focusing on the integration of deep learning and machine learning techniques to exploit synergies and enhance applications across diverse domains.The abstract begins with an overview of deep learning and machine learning, highlighting their unique characteristics, strengths, and limitations. It then delves into the concept of fusion, emphasizing the potential benefits of combining these approaches for improved performance, robustness, and interpretability in real-world applications.The paper discusses fusion techniques at different levels, including data fusion, model fusion, and decision fusion. Data fusion involves integrating heterogeneous data sources and modalities, such as text, images, and sensor data, to create comprehensive and informative input representations. Model fusion focuses on combining deep learning and machine learning models, leveraging their complementary strengths in representation learning and generalization. Decision fusion involves combining outputs from multiple models or algorithms to make more accurate and reliable predictions or decisions.Moreover, the abstract presents case studies and examples where deep learning and machine learning fusion has demonstrated promising results. These case studies span various domains, such as healthcare diagnostics, autonomous systems, natural language processing, financial forecasting, and personalized recommendation systems. It showcases how fusion techniques have enhanced accuracy, scalability, interpretability, and efficiency in these applications. Furthermore, the abstract highlights the challenges and considerations associated with deep learning and machine learning fusion, such as model compatibility, training complexity, feature engineering, and computational requirements. It also discusses ongoing research efforts and potential future directions to address these challenges and further leverage the power of fusion techniques..)
MOBILITY AND HANDOFF MANAGEMENT IN 5G
Authors: Sharma Er. Avni , Dhiman Gourav Kumar
Published: June 2024

This paper offers an overview of the current advancements in Operating Systems (OSs) for Wireless Sensor Networks (WSNs). In recent years, the research community has shown significant interest in WSNs due to their diverse applications, ranging from battlefield deployment and industrial process monitoring to home automation and environmental observation. WSNs pose unique challenges as they operate in dynamic environments where nodes can fail due to harsh conditions and limited battery resources. These networks consist of small, resource- constrained devices known as motes, characterized by restricted memory and computational capabilities. Additionally, WSNs often operate autonomously, making it difficult to replace sensor motes once deployed. Therefore, a primary objective is to optimize the lifespan of these sensor motes.These distinctive characteristics of WSNs impose specific challenges on OS design, diverging from conventional OS design principles. This survey aims to shed light on the key concerns related to OS design in WSNs and to evaluate the strengths and weaknesses of contemporary OSs in this context, considering the evolving requirements of WSN applications. We examine the state-of-the-art in WSN operating systems across various aspects, including OS architecture, programming model, scheduling mechanisms, memory management and protection, communication protocols, resource sharing, support for real-time applications, and additional functionalities. Our assessment encompasses both real-time and non-real-time OSs designed for WSNs.
INSTITUTIONS AND SCHOOLS: OVERCOMING HURDLES IN INTEGRATING AUGMENTED REALITY (AR) INTO STEM EDUCATION
Authors: Muniandy Nithiyaa
Published: June 2024

Augmented reality (AR) is a technology that immerses users in virtual experiences through mobile devices. Its integration into STEM education holds great promise for transforming teaching and learning. However, educational institutions need help effectively incorporating this cutting-edge technology into their curriculum. This paper presents a comprehensive analysis of the critical hurdles institutions face as they navigate the realm of AR in education. Previous studies have identified various obstacles to implementing AR in classroom settings, focusing on the perspectives of students and teachers. However, the root cause of these challenges often lies in the institutions themselves, such as a need for more prepared infrastructure, hindering teachers and students from accessing the technology effectively. This study systematically reviews 40 articles on using augmented reality technology in STEM education to address this gap. Employing qualitative content analysis, the study examines the challenges schools, and educational institutions face in incorporating AR into their teaching practices. The review delves into five primary challenges and 21 sub-challenges encountered by schools and educational institutions when implementing AR in STEM education. Providing teachers with proper instructional technology and adequate training support are significant challenges for institutions. Additionally, the paper explores researchers' efforts to enhance the overall STEM learning experience using augmented reality. Furthermore, the study discusses potential solutions for effectively overcoming these challenges to deliver successful AR lessons to students. By addressing these obstacles, educational institutions can unlock the full potential of AR technology, enriching students' learning experiences in STEM fields.
USABILITY EVALUATION: USER EXPERIENCE EVALUATION FOR DYSCALCULIA STUDENTS USING AUGMENTED REALITY IN MATHEMATICS
Authors: Miundy Kohilah
Published: June 2024

Augmented technologies have found to be an effective approach for special needs learners in enhancing their learning skills. On the other hand, these applications must be designed in such a way that they are usable and intuitive for individuals with special need specially dyscalculia students. Usability evaluation on user interface is an informal method of usability analysis evaluation which presented within an interface design and required experts to comment on it. Usability evaluation principles applied focused to improve the efficiency and learn ability of the applications The usability evaluation involved summative evaluation which was conducted on the use of the application by fifteen (15) elementary dyscalculia students. Finding of the research indicated that the important for early intervention through embedded in Augmented Reality application was certainly significant to assist dyscalculia students to learn mathematics. The result outcome shows that usability evaluation on user interface has evidence a break in the field of special needs students.
Kecenderungan Perilaku Pelecehan Seksual Remaja
Authors: N Lani Zefania , Karneli Yeni
Published: June 2024

This research is motivated by adolescents who have a tendency to sexual harassment behavior caused by adolescents having high curiosity and thinking about sexuality, as well as the influence of the environment and social media. Thus causing adolescents to want to imitate the behavior they see both around them and the behavior they see from social media. This study aims to describe: 1) a description of the tendency of adolescent sexual harassment behavior in SMPN 40 Padang as a whole, 2) a description of the tendency of adolescent sexual harassment behavior in SMPN 40 Padang in terms of behavioral aspects, 3) a description of the tendency of adolescent sexual harassment behavior in SMPN 40 Padang. The research method used is quantitative method with descriptive approach. The sample in this study were 180 students in grades VII & VIII at SMPN 40 Padang in the 2023/2024 school year, who were selected using the Simple Random Sampling technique. Data obtained by giving research instruments in the form of a sexual harassment questionnaire to junior high school students who have been tested for validity with the pearson correlation formula (0.361) and reliability testing with the Cronbach alpha formula (0.736) to students. For data processing using descriptive statistical methods. The results showed that: 1) The tendency of adolescent sexual harassment behavior in terms of behavioral aspects is in the low category, meaning that adolescents tend to have committed some sexual harassment behavior, 2) The tendency of adolescent sexual harassment behavior based on situational aspects is in the low category, meaning that adolescents tend to have committed some sexual harassment behavior in public places such as school. Overall, adolescents have a low tendency of sexual harassment behavior, this shows that adolescents tend to have committed some sexual harassment behavior. Based on the results of this study, counselors can provide assistance to prevent sexual harassment behavior in adolescents in the form of information services about understanding sexual harassment, types of sexual harassment, the impact of sexual harassment behavior, and how to avoid sexual harassment behavior. Another service provided to students is group guidance services, where students led by bk teachers / counselors in groups discuss the phenomenon of sexual harassment among adolescents so that adolescents can understand how sexual harassment behavior occurs around them and how to prevent sexual harassment behavior.
Pengaruh Game Online terhadap Motivasi Belajar Siswa Sekolah Dasar
Authors: Waqi Anisrul , Nisa Sahrun
Published: June 2024

Online games are application devices that have interesting features that can be played by all groups, including children. Playing online games excessively has a negative impact on children, one of which is reduced motivation to learn. The aim of this research is to find out how online games influence elementary school students' learning motivation. This research uses a literature study method where the researcher reviews existing articles or journals that are relevant or related to the topic. The results of this research prove that playing online games excessively has a big influence on elementary school students' learning motivation. The more often a child plays online games, the more his motivation to learn decreases.
Efektivitas Terapi Storytelling untuk Mengurangi Tingkat Agresi pada Anak TK Aisyiyah VI Padang
Authors: Putri Dea Fenny Kirana , Ananta Aditya Briliant , Novita Dita , Aulia Prima
Published: June 2024

This study explores aggression behavior in early childhood and the effectiveness of storytelling in reducing it using quantitative methods. Data were collected through observation and questionnaires at Aisyiyah VI Kindergarten in Padang, with data analysis using JASP 0.16.4.0. Aggression, defined as behavior aimed at causing harm, is increasingly common among children in Indonesia and can be both physical and verbal. Storytelling was studied as a potential intervention, with evidence showing improved social behavior and decreased aggressiveness. The technique involves using stories that are appropriate to the child's developmental stage and allows them to learn through the example of the characters in the story. The implementation process includes needs analysis, theme determination, story creation and delivery. The results show storytelling is effective in reducing aggressive behavior in early childhood. This study highlights the important role of parents and teachers in supporting children's social development through a comprehensive educational approach.
Analisis Keefektifan Metode Game Edukatif terhadap Keaktifan dan Kerja Sama Siswa Sekolah Dasar
Authors: Afriani Widya , Nisa Sahrun
Published: June 2024

The application of learning methods is still lacking so most students may feel bored and unmotivated during lessons because learning methods have not been applied properly. In addition, the limited use of media in the learning process causes students' lack of understanding of what they are learning and students' activeness is not seen during the learning process. The purpose of this article is to determine the effectiveness of educational games. Many people use media as an additional tool for learning due to technological advances that occur in the current era of globalization. The use of media in learning aims to make the educational game method effective in increasing student engagement and cooperation in elementary schools. In addition, the use of media makes it easier for teachers to convey material and make students better understand what they are learning. Therefore, teachers must ensure that the materials and media used are appropriate. This article will discuss the use of game-laden interactive multimedia in learning in elementary school. It will also analyze the participation and cooperation of students in primary schools as well as the factors that influence the application of game-laden interactive methods in the learning process.
Biofilm Formation and Genotypic Characterization of Bifidobacteria from Yoghurt Samples and Food Supplements
Authors:   Coventry University, United Kingdom., Shafiq Bilal
Published: June 2024

This study evaluates the ability of yoghurt and supplement isolated Bifidobacterium species to generate biofilms through characterization of ITS region genes associated with biofilm formation. The objective of this project is to gain a better understanding of the ability of probiotic Bifidobacteria to build biofilms, which is thought to be beneficial for maintaining intestinal microbial balance and reducing the amount of pathogenic and food-spoilage microorganisms. This work is distinctive because it aims to close a knowledge gap on the ability of Bifidobacterium species isolated from yoghurts and supplements to form biofilms. Giving important details on prospective applications for these probiotic Bifidobacterium species, particularly in the biomedical and food industries. Samples including yoghurt samples and food supplements will be cultured using RCA (Reinforced Clostridial Agar) media. The Bifidobacteria will be isolated and then identified using morphological and biochemical analysis. 9 controls of bacteria with established biofilm forming potential will be run. The crystal violet assay will be used to evaluate the ability of various microbes to produce biofilms, and the DNA extraction for the samples and controls will be performed following ITS-PCR for the genotypic characterization. The DNA of the isolated Bifidobacterium species will be run through a gel electrophoresis procedure to determine its size. Comparison of the biofilm forming potential of Bifidobacterium species isolated from yoghurt and food supplements with that of pathogenic bacteria known to build biofilms may provide light on the utilization of probiotics to avoid infections from several pathogens.
The Relationship Between Exclusive Breastfeeding History And The Incidence If Stunting In Children Aged 24-59 Months In Kuta Baro District, Aceh Besar Regency
Authors:   Department Of Midwifery, Politeknik Kesehatan Aceh, Kementerian Kesehatan, Aceh, 23231, Indonesia, Wulandari Sri Dwi , Lajuna Lia ,   Department Of Midwifery, Politeknik Kesehatan Aceh, Kementerian Kesehatan, Aceh, 23231, Indonesia, Kartinazahri Kartinazahri ,   Department Of Midwifery, Politeknik Kesehatan Aceh, Kementerian Kesehatan, Aceh, 23231, Indonesia
Published: June 2024

Introductions: The high incidence of stunting in Indonesia is caused by various factors, one of which is Exclusive Breastfeeding. Based on data from 2020, 22% or around 149.2 million under-five children in the world experienced stunting. The WHO has set a target for stunting reduction of 20%. According to data from the Aceh health profile in 2022, the stunting rate among under-five children in Aceh Besar was 32.4%. Research Objective: To determine the relationship between the history of Exclusive Breastfeeding and the incidence of stunting in children aged 24-59 months in Kuta Baro District, Aceh Besar Regency in 2023. Research Method: This research used an observational analytic design with a retrospective cohort approach. The sample in this study was children aged 24-59 months, taken based on inclusion and exclusion criteria. Research Results: The results of the research analysis showed a relationship between the history of Exclusive Breastfeeding and the incidence of stunting, with a p-value of 0.01 (α<0.05) and an OR of 0.285 in Kuta Baro District, Aceh Besar Regency. Conclusion: Exclusive Breastfeeding has a relationship with the incidence of stunting in children aged 24-59 months.
Crònica legislativa d’Andorra. Segon semestre de 2023
Authors: Cucurull Canyelles Maria
Published: June 2024

Aquesta crònica vol ser un recull dels diversos textos legislatius que fan referència a l’ús de la llengua catalana al Principat d’Andorra, impliquen diversos àmbits de la societat i són del segon semestre de 2023. També hi podreu trobar diversos articles, convocatòries i comunicats sobre la llengua del país que ha tingut l’opinió pública andorrana.
The Dynamics of Early Marriage in Terms of Islamic Family Psychology (Case Study in Sub-District of Bolo, Bima Regency)
Authors: Kurniyati Nadya , Wardatun Atun , Jihad Salimul
Published: June 2024

Marriage life will always experience changes and ups and downs. Reviewing early marriage from the perspective of Islamic family psychology provides important insights into the dynamics which occur. It helps identify challenges and opportunities to improve the welfare and success of marriage. The objectives of this research were to understand and analyse the dynamics of early marriage in terms of Islamic family psychology and to understand and analyse the efforts of early marriage actors in dealing with family problems. This thesis used qualitative research based on field research; it used primary data sources obtained from the perpetrators of early marriage, parents, officials at the Religious Affairs Office (KUA) and religious leaders in the sub-district of Bolo, Bima Regency and secondary data sources. The data were collected by doing observation, interview, and documentation. The results of this research showed that 1) The dynamics of early marriage in terms of Islamic Family Psychology that every couple would experience challenges and changes over time, the factors which influenced failure in dealing with the dynamics of early marriage were the couple's psychological factors, lack of understanding and communication, not understanding the roles and responsibilities, lack of family support, not being able to adjust in marriage. 2) The efforts of early marriage actors in dealing with family problems were a) there were problems, b) there was no communication to solve, and c) they silenced and ignored each other. While other couples tried to understand each other, communicated and the support of direction from parents.
افتتاحية العدد
Authors: بنتاجر سعيد
Published: June 2024

افتتاحية العدد
PEMBERDAYAAN EKONOMI LOKAL MELALUI PERTANIAN ORGANIK DI DUSUN 7 KAMPUNG KADAUNG HILIR, DESA RENGASJAJAR, KECAMATAN CIGUDEG, JAWA BARAT
Authors: Puput Ratna Julaeha  , M. Subhan Maulid  , Cahya Ghita Ramadinanti  , Ratu Sipa Amalia  , Siti Aliyatur Rofi`ah  , Siti Nihayatuz Zein  , Inggi Apriliani
Published: June 2024

Program Pemberdayaan Ekonomi Lokal Melalui Pertanian Organik merupakan upaya untuk memperkenalkan dan mengimplementasikan teknik pertanian organik di sebuah lokasi dengan mayoritas penduduk yang sebelumnya bekerja di sektor tambang yang terdampak oleh pandemi COVID-19. Melalui metode pertanian organik yang berbasis pada prinsip ekologi dan keberlanjutan, program ini berhasil menghasilkan tanaman seperti kangkung, pakcoy, dan sawi yang dapat dipasarkan dan digunakan sebagai sumber pangan sehari-hari. Selain itu, partisipasi aktif masyarakat setempat dalam kegiatan ini menciptakan dampak positif dalam pemberdayaan ekonomi lokal. Hasilnya menunjukkan bahwa pendekatan pertanian organik dapat menjadi solusi yang efektif dalam mengubah mata pencaharian masyarakat dan memperbaiki kualitas hidup mereka melalui praktik pertanian yang lebih berkelanjutan dan ramah lingkungan.
MENINGKATKAN KESEJAHTERAAN GURU MELALUI PENDAMPINGAN PETERNAKAN SKALA RUMAHAN TANPA LALAT DAN BAU DI YAYASAN PONDOK PESANTREN ATHFAL ISLAM PECANGAAN WETAN JEPARA
Authors: Muhammad Khoiruddin  , Ahmad Faiz  , Izzul Ma'ali
Published: June 2024

Yayasan Pondok Pesantren Athfal Islam Pecangaan Wetan Pecangaan Jepara membawahi beberapa lembaga lembaga Pendidikan yang bernaung dibawahnya baik pendidikan formal maupun pendidikan non formal sehingga menjadi sebuah keniscayaan jika kesejahteraan para stakeholder didalam yayasan tersebut untuk memenuhinya. Dalam peningkatan kesejahteraan insan yayasan, jika hanya mengandalkan pada gaji bulanan yang didapatkan dari lembaga yang ada di dalam yayasan, kemungkinan besar belum seluruhnya dapat memenuhi kebutuhan pokok dari insan yang ada di yayasan tersebut. Oleh karenanya, perlu beberapa terobosan baru untuk meningkatkan kesejahteraan. Dalam hal ini, tambahan penghasilan dengan kegiatan yang bisa dilakukan oleh insan yayasn tanpa harus menyita waktu kegiatan pokok di lembaga yayasan pondok pesantren Athfal islam. Proses kegiatan ini diawali dengan pelatihan model yang akan diaplikasikan dalam peternakan skala rumahan tanpa lalat dan bau, selanjutnya melakukan kegiatan aplikasi di lapangan, dengan pendampingan analisis kegiatan pengolahan pakan semi fermentasi sebagai kunci peternakan skala rumahan tanpa lalat dan bau. Fokus pada peternakan ini adalah beternak ayam petelur. Kemudian, dilanjutkan dengan pendampingan perawatan mulai dari anak ayam sampai dengan ayam siap untuk bertelur. Sehingga, disamping menjadi kegiatan sampingan para insan yayasan PP Athfal Islam, juga sebagai tambahan pendapatan dalam skala kebutuhan sehari-hari, serta tidak mengganggu kehidupan lingkungan sekitarnya melalui peternakan skala rumahan tanpa lalat dan bau.
Kulturarv och översvämningsrisk: Analys av hotade byggnadsminnen i Karlstad
Authors: Henricson Wåhlin Julia , Gustafsson Jocelyn
Published: June 2024

Denna rapport är en del av ett projekt som Centrum för forskning om samhällsrisker, CSR, vid Karlstads universitet genomför på uppdrag av Länsstyrelsen Värmland. Rapporten syftar till att presentera och diskutera översvämningsrisker kopplade till byggnadsminnen i centrala Karlstad. I Riskhanteringsplanen (Länsstyrelsen Värmland, 2021) presenteras identifierade risker kopplat till översvämningsfrågan i Karlstad och på Hammarö. EU-direktivet genom förordning (2009:956) om översvämningsrisker lyfter fyra fokusområden; människors hälsa, miljön, kulturarvet och ekonomisk verksamhet. Fokusområdena ligger till grund för de lokala mål och åtgärder som tagits fram. Denna rapport fokuserar på det övergripande målet för fokusområde kulturarv, vilket är att skydda och begränsa skador på värdefulla kulturmiljöer och annat materiellt kulturarv vid en översvämning. Inom uppdraget utvecklas även kommunikationsmaterial samt undersöks hur seriösa spel och andra lärmodeller, i CSR:s Risklab®, kan användas för gemensamt lärande om temat.
Removal of Humic Acid by UiO-66(Zr) and MIL-100(Fe) Metal-Organic Frameworks (MOFs) Adsorption
Authors: Abdalla Wrya Omer Mala
Published: June 2024

The escalating presence of humic acid (HA) in aquatic systems poses significant ecological and potable water treatment challenges, altering the color, taste, and odor of water and fueling algal blooms that deplete oxygen levels to the detriment of aquatic life. Traditional techniques like coagulation-flocculation, membrane filtration, oxidation fall short in efficiency due to its small fraction of HA. This study confronts the pervasive issue of HA contamination by leveraging the advanced properties of metal-organic frameworks (MOFs). In this work, two representative MOFs are synthesized and well characterized. Then, their capability for removal HA by adsorption process in water for HA treatment are detailed evaluated. The findings from this research extend beyond academic curiosity, offering actionable insights for water treatment facilities and environmental management agencies. The synthesis of MOFs which are UiO-66(Zr), MIL-100(Fe). Each MOFs have been applied to remove HA by adsorption under different condition. The effect of contacting time, initial pH, adsorbent dosage has been evaluated. After adsorption experiment, MOF samples prepared to dry and went through characterization. Removal of HA by MOF adsorption showed UiO-66(Zr) and MIL-100(Fe) examined rapid reaching equilibrium state with 10-15 min. Among various pH conditions, UiO-66(Zr) and MIL-100(Fe) showed the highest adsorption capacity under acidic conditions. MIL-100(Fe) achieves a higher maximum adsorption capacity than MIL-100(Fe). MOF after adsorption samples went through characterizations and their remained characteristics indicating the adsorption not affected the structure of the MOFs.
Prediction of serum neuritin and neuron-specific enolase for prognosis in patients with traumatic brain injury combined with spinal cord injury
Authors: Pu Bingbing , Chen Yu , Bi Qingguo , Shen Jian , Wang Lihui , Han Ye
Published: June 2024

Background: Serum neuritin and neuron-specific enolase (NSE) have predictive value for the prognosis of patients with combined traumatic brain injury (TBI) and spinal cord injury (SCI). Studying their predictive effects has positive value for disease control and treatment. Methods: Sixty patients with combined TBI and SCI were recruited and rolled into three groups according to prognosis: Group I (n=42, favourable prognosis), Group II (n=11, poor prognosis), and Group III (n=7, death). Clinical indicators were compared between the groups, and the predictive value of different indicators for prognosis was analyzed. Results: The proportion of patients with combined injuries to other organs and hypotension, as well as levels of platelets (PLT), D-dimer (D-D), antithrombin III (AT-III), S100 protein (S100 ), NSE, and serum neurofilament levels were significantly higher in Groups II and III compared to Group I. Conversely, the Glasgow Coma Scale (GCS) scores were significantly lower in Group I (P<0.05). Multivariable logistic regression analysis revealed that other organ injuries, GCS score, PLT, D-D, and AT-III significantly influenced the prognosis of TBI combined with SCI patients (P<0.05), while hypotension, NSE, serum neurofilament levels, S100 , and accompanying organ injuries were highly correlated with the prognosis of TBI combined with SCI patients (P<0.001). The predictive sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of NSE combined with serum neurofilament in predicting the prognosis of TBI combined with SCI patients were significantly higher than the singular predictive efficacy of NSE or serum neurofilament alone (P<0.05). Conclusions: To evaluate the prognosis of TBI combined with SCI patients, consideration should be given to factors such as other organ injuries, hypotension, consciousness assessment, and levels of various biomarkers. Furthermore, combined testing of serum neurofilament and NSE can more accurately predict the prognosis of TBI combined with SCI patients.
Bản chất, mục tiêu tốt đẹp, tiến bộ và ưu việt của Nhà nước pháp quyền xã hội chủ nghĩa Việt Nam
Authors: Nguyễn Thị Thanh Nga
Published: June 2024

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Tiếp tục hoàn thiện pháp luật bảo vệ trẻ em bị bạo lực, xâm hại tình dục ở Việt Nam
Authors: Lê Thị Thanh Bình
Published: June 2024

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Đẩy mạnh thu hút vốn đầu tư trực tiếp nước ngoài tại tỉnh Bình Dương
Authors: Phan Nhân Trung
Published: June 2024

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Anti-inflammatory effects of khaya senegalensis bark and tinospora cordifolia leaf extracts on striatal ischemic injury in rats
Authors:   Department of Anatomy and Forensic Anthropology, Faculty of Basic Medical Sciences, University of Cross River State, Okuku Campus, Cross River State, Nigeria & Department of Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, Federal University Wukari, Taraba State, Nigeria., P.U. Lukpata , A Abraham ,   Department of Anatomy, Faculty of Basic Medical Sciences, College of Medicine and Allied Sciences, Bingham University, Nasarawa State, Nigeria., A.O Adugba ,   Department of Physiology, Faculty of Health Sciences, Benue State University, Markudi., A.I. Ode ,   Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Federal University Wukari, Taraba State, Nigeria., K.F Otashu ,   Department of Anatomy, Faculty of Basic Medical Sciences, College of Medicine and Allied Sciences, Bingham University, Nasarawa State, Nigeria.
Published: June 2024

The striatal synaptic pathways play a crucial role in the functioning of the basal ganglia and are an essential part of the cortical-basal ganglia loops that regulate motor function, emotion, and cognition. The purpose of this study was to examine the potential therapeutic benefits of extracts from the leaves of Tinospora cordifolia (TC) and Khaya senegalensis (KS) on striatal ischemia injury resulting from amitriptyline (AMT). Eleven groups (n = 5) comprising fifty-five adult male Wistar rats weighing between 184 and 254 g were created: Distilled water (2 milliliters per kilogram) was used as a control. The groups that included AMT (750 mg/kg), KS (200 mg/kg) + AMT, KS (300 mg/kg) + AMT, KS (400 mg/kg) + AMT; TC (200 mg/kg) + AMT; TC (300 mg/kg) + AMT; TC (400 mg/kg) + AMT; COM (200 mg/kg) + AMT; COM (300 mg/kg) + AMT and COM (400 mg/kg) + AMT. Treatment was given orally for a period of 14 days. Rats were neck dislocated to stop the experiment and brain tissues were removed and preserved in 10% buffered formal saline. TNF- α result showed a significant increase (p<0.05) by 708.9±28.05δ in AMT-treated rats compared to the control (324.8±7.58). And decreased significantly (328.5±5.24α, 380.4±3.43δ and 375.3±5.50δ) in the treated groups compared to AMT-treated rats. Normal cytoarchitecture of the striatal cells was intact in the control group. AMT rates (Ischemic stroke rats) revealed neurodegenerative changes, characterized by cellular hypertrophy and perivascular edema, and proliferation of reactive astrocytes and microglia. However, the treatment of KS, TC, and COM KS+TC remarkably ameliorates striatal cell degeneration by preserving striatal cell cytoarchitecture, especially with COM KS+TC 400 mg/kg treatment. Findings suggest that COM KS+TC possesses anti-inflammatory properties, which could be of potential benefit in the treatment and management of ischemic stroke.