bluuebunny/crossref_metadata_2025 huggingface dataset:
Educational Administration and Leadership: Perceptions of Educational Leaders in Relation to their Leadership Style
Authors:   University of Macedonia, Thessaloniki, Macedonia, Greece, Louka E. , Androutsou D. ,   University of Macedonia, Thessaloniki, Macedonia, Greece, Anastasiou A. ,   University of Macedonia, Thessaloniki, Macedonia, Greece
Published: May 2024

The present research paper attempts to examine the perceptions of educational leaders in relation to the leadership style they adopt when managing their educational organization. To conduct the research, 105 educational leaders of primary, secondary and post-secondary education from all educational levels of the Greek educational system participated in the survey. The research was conducted using the quantitative research method and after the MLQ questionnaire was distributed and a significant research sample was collected, the necessary descriptive and inferential analyses were carried out. The research results show that educational leaders prefer the transactional leadership style, followed by the transformational leadership style with little difference and a very small percentage uses the laissez-faire leadership. Indeed, the research results of the present study are considered to be very important as they complement the pre-existing conserving leadership style and strengthen the improvement of the educational process. These research findings along with future research may contribute to a better understanding and explanation of the subject under investigation
A Study on Sports Training and its Component
Authors:   Lakshmibai National Institute of Physical Education, Gwalior, Madhya Pradesh, 474002, Bhardwaj Ritesh , Kumar Amar
Published: May 2024

This extensive chapter explores the relationship between components of sports training. The components are volume, intensity, and density. It starts with the meaning of sports training and later describes all the variables of sports training. The first component is volume and volume; it describes how we measured the volume in different games and sports and what are the types of volume with suitable examples. After volume, we explore the meaning of intensity and understand the different ways to measure it (Training heart rate, metabolic equivalent, rate of perceived exertion). We also explore all types of intensity feasible on the ground during training. We also talk about which intensity is subjective. We also explore how we find intensity by bioenergetics system. The last component we discussed here is density and its types in relation to time and we also learned how to calculate density with proper examples. Lastly, we found the relationship between all three components.
A Review of the Physical Infrastructure & Equipment Quality Indicator of Ecole Technique Officiels (ETOs) and Ecole Agroveternaire (EAVS) in the Rwandan TVET System
Authors:   Department of Architecture, School of Architecture and Building Sciences, Jomo Kenya University of Agriculture and Technology, PO Box 62000 – 00200, Nairobi, Kenya, Maringa Mwangi , Maringa Maina ,   Department of Mechanical and Mechatronics Engineering, Central University of Technology Free State, Bloemfontein, South Africa
Published: May 2024

In this chapter, a review of the status of the Technical and Vocational Education and Training (TVET) quality indicator of physical facilities and workshop equipment in selected Ecole Technique Officiels (ETOs) and Ecole Agroveternaire (EAVs) in Rwanda is presented. It is noted that most of the selected ETOs and EAVs required substantial improvements in this TVET quality indicator in order to ensure the delivery of quality technical education. Considering the normal budgetary constraints, the possibility of investing in ETOs in accordance with existing program areas of strength of the inquiry and planning period of 2008-2013 was mooted while ensuring equitable spatial access to all TVET programs in the country. For starters, it was proposed that planning of space in the ETOs and EAVs, either lacking or poorly done, needed to be addressed by developing master plans. The prevalence of idle workshops some with partially broken-down equipment or equipment that was hardly ever used, underlined the need to develop a rationale with which to guide the acquisition of up-to-date, maintainable TVET training equipment that was relevant to the programs being mounted in respective ETOs.
Fostering Ecoliteracy to Enhance Environmental Awareness among Children and Adolescents
Authors:   Universitas Sarjanawiyata Tamansiswa, Yogyakarta, Indonesia, Sudirman Anselmus
Published: May 2024

Environmental awareness is the key to tackling today's issues related to the environment. In the face of climate change and natural degradation, promoting awareness and knowledge of the need for environmental protection is critical. The research objectives are to (1) increase environmental awareness by involving children and adolescents in the eco-literacy movement and (2) strengthen their understanding of environmental conservation, which has an impact on strengthening their role as agents of change who function and are responsible for protecting nature. This research used a presentation approach and video-watching sessions about ecoliteracy with 15 children and teenagers in the community located in Central Java Province, Indonesia. The eco-literacy videos helped participants comprehend the significance of ecoliteracy, environmental conservation, and preservation. Research findings show the importance of eco-literacy for children and adolescents that resides in their potential to affect their attitudes, behavior, and daily decisions, as well as establish pro-environmental thought patterns and values. They can have a thorough grasp of environmental challenges, both local and worldwide, and learn about sustainable solutions through education and training. In addition, eco-literacy actions can encourage children and adolescents to participate in real-world activities that contribute to protecting the environment. They can encounter possibilities to contribute and make positive changes in the environment around them by participating in environmental projects, organizing environmentally conscious campaigns, or joining in collective action. Ecoliteracy for children and adolescents has a massive influence since it involves building communities that support one another and are geared toward sustainability. They can develop strong networks to exchange knowledge and experiences and urge collaborative action for environmental protection by collaborating with other teenagers, environmental organizations, schools, and communities.
Technology Use and Integration: A Key Factor of NEP-2020
Authors:   MIT World Peace University, Pune, India, Gawande Anjusha
Published: May 2024

The integration of technology is heavily emphasized in The National Education Policy- 2020 (NEP-2020) because technology can serve as an important factor in paving the way for holistic development. NEP-2020 represents a paradigm shift toward improving the educational system. Things are now accessible thanks to technology, which has permeated practically every aspect of life. The need for technology to be embraced in the education sector is also growing. The country is being transformed into a digitally empowered society and knowledge economy with the aid of the Digital India Campaign. Technology in education will be crucial to improving education procedures and results. NEP-2020 recognizes the importance of leveraging the advantages of technology while acknowledging the potential risks of developing and expanding the current ICT-based educational programs and digital platforms to address present and upcoming challenges. This chapter will focus on technology, various digital platforms and their implementation. The primary purposes of introducing these technology-based platforms will be to streamline educational planning, management, and administration, including procedures about admissions, attendance, assessments, and other related areas; improve teaching-learning and evaluation processes; support professional development and teacher preparation; and improve educational access as per NEP-2020.
Deepfake Video Detection Using Res-Next CNN and LSTM
Authors: M B Dr. Suresh
Published: May 2024

Abstract: Deepfake videos are becoming more and more common in the digital age, which has led to major worries about how they can undermine the trustworthiness of visual media. With deep learning algorithms' rising processing power, producing lifelike human-synthesized films or deepfakes has never been easier. Disinformation and political unrest can be caused by these videos. A novel deep learning-based method has been created to distinguish between actual and AI-generated fraudulent videos to address this problem. The suggested technique uses Attention-based networks (Res-Next CNN), a kind of deep learning architecture that can selectively focus on significant features in a video, to fine-tune the transformer module to search for new sets of feature space to detect false images.
Designing a Care System based on the Internet of Things for Patients with Multiple Sclerosis
Authors: Mahdizadeh Fatemeh
Published: May 2024

Abstract: Multiple sclerosis (MS) is a neurodegenerative disease that is a major health problem. This issue requires the development of new tools to control patients' activity and reduce care costs. The monitoring system based on the Internet of things is a suitable solution for this concern. In this study, the researchers developed a tool that uses an Arduino board and four accelerometer sensors, heart rate and pulse oximetry sensors, temperature sensors, and Bluetooth modules to monitor the factors related to the health of multiple sclerosis patients. In this method, the information obtained from the sensors connected to the patient's body is placed on the memory board and displayed with the help of an LCD. In the next step, the Bluetooth module transmits the information obtained from these sensors to a mobile application. This application has the ability to share and store information. This information, together with the date display on the LCD, in addition to notifying the person of the resulting changes; it is also sent periodically to the doctor. In general, this tool, together with a mobile device, helps to increase the selfcare of patients, increases the interaction between the patient and the doctor, reduces the frequeI. nt visits of patients to care centers, and helps to improve the quality of life of patients..
Control Charts for a Novel Exponent Power Rayleigh Distribution
Authors: Nihanda Nagalla. , Lakshmi M. Vijaya , Rajasekhram O. V. , Anjaneyulu G. V. S. R.
Published: May 2024

Abstract: In this Paper, we presented the distribution as A Novel Exponent Power Rayleigh (NovEPRD) probability density function, Distribution, and Survival and Hazard functions introduced by Bharathi et al (2022) and A Novel Exponent Power Rayleigh (NovEPR) distribution Properties and its Applications studied by Bharathi et al (2022) and then here we derived the Weighted Variance (WV), Weighted Standard Deviation (WSD) and Correction Factor (CF) for existed A Novel Exponent Power Rayleigh (NovEPR) distribution , this paper obtains the parameters of the control lines X̅ and R drawn from the A Novel Exponent Power Rayleigh (NovEPR) distribution. These methods are compared with Newton Raphson’s simulations. For these control charts, Type I risk is compared with different groups of A Novel Exponent Power Rayleigh (NovEPR) distribution. Simulation results show that the Skewness Correction (SC) method of Type I carries less risk than other methods. When the distribution is approximately equal, the type I risk of the Shewhart, W V, WSD and SC X̅ plans is comparable, while the type I risk of the SC R plan is smaller
Formulation and Evaluation of Herbal Anti-Aging Gel based Face Serum from Ficus Carica
Authors: Chaudhari Miss Ashwini Pravin , Chaudhari Miss Bhagyashri Vilas , Patil Dr. J. K.
Published: May 2024

Abstract: The popularity of anti-aging face serums as a crucial part of skincare routines has been driven by the desire for youthful and radiant skin. This research aims to provide a comprehensive analysis of the effectiveness behind these serums. By extensively examining scientific literature, we explore the wide range of active ingredients commonly found in these serums, such as retinoids, hyaluronic acid, peptides, antioxidants, and growth factors.we delve into how these ingredients work, including collagen stimulation, hydration retention, oxidative stress reduction, and cellular repair This research focuses on developing an anti-aging serum leveraging the synergistic benefits of aloe vera, green tea extract, and fig fruit oil. The formulation process involves meticulous blending to harness the individual properties of each ingredient, aiming to create a potent solution for combating signs of ageing. We also consider the clinical evidence supporting the effectiveness of anti-aging face serums, with a particular focus on their ability to reduce wrinkles, improve skin texture, and rejuvenate the overall appearance of the skin. There are various types of serums available, including gel-based and oil-based serum,etc. Various types of evaluation parameters were studied. Our formulation showed good viscosity, pH range was also within limits, it exhibited good spreadability, and serum stability was maintained at all temperatures. By integrating scientific analysis with natural ingredients, this study aimed to contribute to the development of effective skincare solutions.
Blood Bank Inventory Control
Authors: Yadav Himanshu
Published: May 2024

Abstract: "Rakt Sewa" be advanced blood bank inventory portal having been designated for optimizing and streamlining the management of blood within hospitals and blood banks. This innovative system provide real-time tracking!! and reporting capabilities, enabling healthcare professionals to efficiently monitor availability and the usage of different blood groups. The portal facilitate instant access to vital inventory data, assist medical staff in making informed decisions quicklie, particularly in emergency situations where time is of an essence. The core function of "Rakt Sewa" include automated inventory updates, expiry tracking, and integration with hospital management systems to ensure data accuracy and reduce manual entry errors. It also feature customizable alerts for low stock levels and expiring units!!!!, aiding in maintaining optimal stock levels and minimizing waste. Moreover, "Rakt Sewa" support detailed reporting and analytics tools that offer insights into usage patterns, demand forecasting, and supply chain management, allowing for better planning and resource allocation.
Deep Learning Techniques for Chronic Kidney Disease Risk Prediction
Authors: Janaki Muthu
Published: May 2024

Abstract: Chronic kidney disease (CKD) and itssymptoms are mild and gradual, often go unnoticedfor years only to be realized lately. Bade, a Local Government of Yobe state in Nigeria has been a center of attention by medical practitioners due to the prevalence of CKD. Unfortunately, a technical approach In culminating the disease is yet to be attained. We obtained a record of 400 patients with 10 attributes as our dataset from Bade General Hospital. We used DNN model to predict the absence or presence of CKD in the patients. The model produced an accuracy of 98%. Furthermore, we identified and highlighted the Featuresimportance to provide the ranking of the features used in the prediction of the CKD. The outcome revealed that two attributes; Creatinine and Bicarbonate have the highest influence on the CKDprediction.
Impact of Stress on the Sleep Pattern and Cognitive Performance on Young Adults
Authors: Rawal Kashish
Published: May 2024

Abstract: This research paper investigates the intricate relationship between stress, sleep patterns, and cognitive performance among young adults. In today's world, stress is a common occurrence that has a significant impact on people's physical and mental health as well as their cognitive abilities. The purpose of this study is to clarify how stress affects young people' sleep patterns and cognitive function, as they are a group that is more susceptible to changes in sleep and cognition caused by stress. The study looks at how stress affects many areas of cognitive performance, including attention, memory, problem-solving, and decision-making, as well as the length, quality, and architecture of sleep. It does this by drawing on current literature and empirical studies. The study also examines possible mechanisms, such as neuroendocrine reactions, changes in brain connections, and psychological elements like perceived control and coping mechanisms, that may underlie the observed effects of stress on sleep and cognition. Furthermore, the paper discusses the bidirectional relationship between stress, sleep, and cognitive performance, highlighting the complex interplay between these domains and their cumulative impact on young adults' overall well-being. The findings of this study have implications for public health campaigns, clinical practices, and preventative treatments targeted at reducing the negative effects of stress on sleep and cognition, building resilience, and encouraging young adults to operate cognitively at their best
Online Voting System
Authors: Verma Prof. Vishnu
Published: May 2024

Abstract: The project “Online Election System” / “Online Voting Software” aims at making the voting process easy in any type of elections. Presently voting is performed using ballot paper and the counting is done manually, hence it consumes a lot of time. There can be possibility of invalid votes. All these make election a tedious task. In recent times in India, due to elections the second wave of COVID transmission also made huge loss of human lives. In our proposed system voting and counting is done with the help of computer in Online. It saves time, avoid error in counting and there will be no invalid votes. It makes the election process easy. It also avoids the process of physical touching or visiting any places and so in the time of pandemic too it will be more helpful to conduct elections. The system deals with the online voting and its details. Allows the user to vote for the candidate online. Can get the details of the candidate and voter as well. Without the wastage of time the citizen can vote the respective candidate
Basketball Shooting Machine
Authors: Joshi Anita , Veni Lavanaya , Vibhute Pranav , Zende Viraj , Virkar Vishwajit , Vyas Anvesha , Vyas Vyomkesh
Published: May 2024

Abstract: The machine developed by us helps basketball athletes to excel, improve and complete their training in minimum time and effort. It cuts down the need of another human who collects and passes the ball to the athlete as well as it saves the athlete's stamina by not letting him/her run continuously around the court. This machine is placed under the basketball rim where it collects the ball shot by the athlete and shoots it back towards him/her and the cycle continues.
Experimental Study on Strength and Durability Parameters of Recycled Aggregate Concrete by Using Chemical and Mechanical Treatment
Authors: Patel Falguni
Published: May 2024

Abstract: Up to 150 million tons of construction and demolition (C&D) waste are produced annually in developing nations like India, making up 35–40% of the world's total C&D waste. According to the Centre for Science and Environment, India recycles just 1% (6500 tonnes) of its construction and demolition waste (C&D) per day. Recycled concrete aggregate is conserved by thermal and mechanical treatment of recycled coarse aggregate, while natural aggregate lessens the impact on landfills. Demolished concrete derbies are used as recycled concrete aggregate. The physical and mechanical properties of natural and recycled aggregate are studied in these experimental works by replacing natural aggregate (by weight) with 10%, 20%, 30%, and 40% recycled aggregate with M30 and M40 grade concrete. The results of compression and tensile strength are compared after 28 days.
Dynamic Pricing for Anomaly Detection in Online Market Places
Authors: C Krishnapriya , Sajeev Goury Priya , R Thejas , B Sreelakshmi K , Sunny Leya Elizabeth , Mathew Joby Anu
Published: May 2024

Abstract: Online marketplaces have become integral parts of e-commerce, providing convenient platforms for buying and selling goods. Detecting fraudulent listings is crucial for maintaining trust and integrity within the marketplace. This project addresses this challenge by proposing a method for fraud detection based on predicting listing prices and identifying discrepancies betweenpredicted and listed prices and also updating prices based on current market conditions.By using machine learning techniques to predict listing prices based on working features,customer demand and market status, the aim is to uncover potentiallyfraudulent listings where the listed price significantly deviates from the predicted value. The project utilizes a dataset containinginformation about listings on the online marketplace, including features such as product category, description, and location, alongwith the listed prices. Data preprocessing techniques are applied to clean and prepare the dataset for analysis. Machine learning al-gorithms, including regression models and natural language pro- cessing techniques for textual data, are employed to predict listingprices based on their features.This also includes some methods offeature engineering. In conclusion, this project presents a novel approach to fraud detection in online marketplaces by leveragingmachine learning techniques for dynamic price prediction. By identifying discrepancies between predicted and listed prices, thedeveloped model effectively detects potentially fraudulent listings. The integration of this model into the marketplace platform enhances security and reliability, fostering a safer and more trustworthy environment for buyers and sellers. Moving forward,further refinement and optimization of the model can lead to evengreater accuracy and effectiveness in fraud detection.
Child Missing with Surveillance Analysis with Multi Phase Extraction Face Monitoring
Authors: Latha Mrs. S.
Published: May 2024

Abstract: Visual Surveillance has been placed in everywhere for any incidents identification. With the wide developments missing child identification with the computer vision system is the main focus. The implementation carried out with face based detection with rapid advance digital connectivity. Face recognition plays as a major developmental process where the concern person can be identified with face based identification system. Machine learning with artificial intelligence plays a vital role in facial detection and recognition. The paper proposes Haar Cascade on feature extraction from facial points and Hybrid Recurrent Neural System(HRNN) with Long Short Term Memory(LSTM) algorithm, on multi face recognition over public crowded area. Missing child images will be pre- trained in a database where the face matching templates will be provided. On matching the database labeled points with the feature point an E-mail or SMS based alert system can be generated on notification to the authority with cam points. Thus the development carried will give best accuracy solution on finding out from multiple face regions. Mainly identification of the missing child over the road side areas will be done with computer vision frame targeting system.
Design and Development of LM24 plate Casting using Solid Cast Simulation Technique
Authors: Ahmed Kamal
Published: May 2024

Abstract: This research deals with the elimination of defects in aluminium alloy castings and enhancement in the casting yield and quality. The main intention of the work is to improve the quality of a cast component using Computer Aided Casting Simulation Software. SOLID Cast simulation software is used for simulating the solidification process of casting and visualizing outputs showing possible problematic areas or defects which may occur in the cast product. Plate Castings of aluminium alloy - LM 24 are produced with different designs of gating systems and tested for defects like porosity using Archimedes immersion Technique and also Radiographic testing is used to check the quality of the castings. The produced castings are observed to be sound, and the results obtained are in agreement with the simulation results. Hence it is verified that solidification simulation helps in improving the quality of castings without any shop-floor trails. Casting yield and percentage porosity values are determined for 12 castings produced with different gating systems. The best results are observed to be produced by the castings having a 1-Ingate system in horizontal or lateral positions.
Comprehensive Study on Design and Construction Methodology of Precast Box-Type Minor Bridge
Authors: Chaudhari Nikhil
Published: May 2024

Abstract: Bridges are crucial elements in modern transportation infrastructure, facilitating connectivity across different points on roads. In areas with challenging topography and site conditions, such as rivers or streams, it becomes essential to construct structures that allow for the unobstructed flow of water. These structures, commonly known as bridges and culverts, are vital for maintaining natural water flow. The flow rate through these water bodies is a key consideration in the design of bridges, culverts, and other drainage structures. This study focuses on the design of precast box type minor bridge, exploring alternative design modules that incorporate fixed and hinged end condition for both top and bottom slabs of single and double box cells. The objective is to determine the optimal design configuration for box Type Minor Bridge components, balancing considerations of functionality, efficiency, and cost-effectiveness.
MIT-Gram: Revolutionizing Campus Engagement and Event Management at MIT ADT Pune
Authors: Kukreja Manan
Published: May 2024

Abstract: The vibrant and dynamic campus of the Maharastra Institute of Technology Art, Design and Technology (MIT-ADT) Pune exposes students to a wide range of extracurricular and academic opportunities. This lively atmosphere is always humming with activity, thanks to the challenging coursework and interesting events that take place here. Nonetheless, it can be difficult to keep up with this vibrant tapestry of events due to the vastness of the campus and the ongoing schedule of events. In order to solve this, we have started developing a cutting-edge platform that will streamline data and make it easier to access the variety of experiences offered by our esteemed university. With the help of our cutting-edge platform, instructors and students will be able to easily navigate the diverse array of activities offered.
Image Colorization
Authors: Gaikwad Saurabh Sunil
Published: May 2024

Abstract: Image colorization is a complex and challenging task in computer vision, with numerous applications in art, entertainment, restoration, and more. This project aims to develop an automated image colorization system leveraging the power of deep learning techniques. The primary objective is to train a deep neural network model capable of accurately and semantically colorizing grayscale images, reproducing natural and visually appealing colour distributions. Our approach utilizes Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) to learn the intricate relationships between grayscale images and their corresponding colour versions. The project involves the following key steps: Data Collection and Preprocessing, Model architecture, Training, Evaluation, Application. The project's outcome is expected to provide a powerful and versatile tool for automating image colorization tasks, offering high-quality results while preserving the artistic intent of the original images. The fusion of deep learning and computer vision techniques in this project exemplifies the potential for artificial intelligence to revolutionize image processing and creative industries.
An Automated Approach for Classroom Attendance Using OpenCV
Authors: Dattu A Bhuvan
Published: May 2024

Abstract: The "AI Attendance: Automated Attendance Monitoring System" employs artificial intelligence and facial recognition to revolutionize attendance tracking, replacing inefficient methods like roll calls and ID cards. This system eliminates manual record-keeping, reducing administrative burdens while ensuring accurate real-time identification of individuals' attendance. Technologies such as Flask Framework, OpenCV, and Pandas Library are utilized to develop a user- friendly web interface for face registration and attendance marking.With Pickle for serialization, registered faces persist seamlessly, enhancing efficiency and accuracy in attendance monitoring across various sectors
Phishing URL Detection Using XGBoost
Authors: Jose Abin
Published: May 2024

Abstract: Phishing attacks are a major threat to cybersecurity, affecting individuals and organizations around the world. In this project we are developing a phishing site detection system using XGBoost, a widely used machine learning algorithm that is well-known for its effectiveness and precision in classification tasks. Our approach involves extracting features from URLs and related domains, preprocessing that data, and training XGBoost’s model. We test our system’s performance by using a dataset of both phishing and normal websites to see how well our system detects phishing attempts. The approach involves the extraction of features from URLs and associated domains, followed by data preprocessing and the training of XGBoost’s model. Performance evaluation is conducted using a dataset comprising both phishing and legitimate websites to assess the system’s efficacy in detecting phishing attempts. The project aims to enhance cybersecurity measures by providing an efficient and accurate solution for identifying and mitigating phishing attacks, ultimately contributing to the protection of online users and organizations against malicious activities
Analisis Penerapan Indikator Global Reporting Initiative (GRI) Pada Laporan Tahunan dan Laporan Keberlanjutan Perusahaan Pertanian
Authors: Barus Riantri , Silalahi Febriyana , Ayu Sri Fajar
Published: May 2024

Purpose: The purpose of this study is to analyze the level of disclosure of GRI indicators in sustainability reports for agricultural companies listed on the Indonesia Stock Exchange, analyze differences in the level of disclosure of GRI indicators in sustainability reports for agricultural companies listed on the Indonesia Stock Exchange in 2014 and 2020, and analyze the effect of size, profitability, and the size of the board of commissioners on the disclosure of sustainability reports on agricultural companies listed on the Indonesia Stock Exchange.
Methodology/approach: The research was conducted on agricultural companies listed on the Indonesia Stock Exchange using purposive sampling, with the criteria being registered during the 2014 - 2020 period, publishing financial reports for the 2014 and 2020 periods, and publishing annual reports for the 2014 and 2020 periods. Data analysis used the descriptive method, content analysis, paired sample t-test, and multiple linear regression.
Findings: The results of the study show that the level of disclosure of GRI indicators in the sustainability reports of agricultural companies listed on the Indonesia Stock Exchange in 2014 was 33.4%, while in 2020 it was 51.1%. There is a significant difference in the level of GRI indicator disclosure in the sustainability reports of agricultural companies listed on the Indonesia Stock Exchange in 2014 and 2020. Profitability and board size have a significant positive effect on sustainability report disclosure in agricultural companies listed on the Indonesia Stock Exchange, but company size has no effect. 
Practical and Theoretical Contribution/Originality: The difference between this study and previous studies is that it compares the level of disclosure in 2014 with 2020, where 2014 was the year when the GRI index began to be used.
Research Limitation: The variables used are still limited to indicators in financial reports. For further research, certification variables in the agricultural sector can be added.
Apakah Risiko Bisnis, Kepemilikan Manajerial dan Intellectual Capital Memiliki Pengaruh Terhadap Nilai Perusahaan?
Authors: Majidah  , Setyaningsih Ary Noor
Published: May 2024

Purpose: This study intends to investigate the simultaneous and partial effects of business risk, managerial ownership, and intellectual capital on firm value in the energy sector listed on the Indonesia Stock Exchange during the 2017–2021 period.
Methodology/approach: This study used quantitative data with sampling criteria and obtained 130 observations from 26 companies. Panel data regression with Eviews 12 was used to analyze the observatory data.
Findings: The research results show that only managerial ownership has a positive effect on firm value.
Practical and Theoretical contribution/Originality: Managerial ownership is one of the factors investors consider when making investment decisions. Managerial ownership can minimize agency problems. The energy sector on the IDX tends to depend on natural resources, so intellectual capital is only supported by value-added human capital.
Research Limitation: The adjusted R2 is only 14.28%. Only managerial ownership is a determinant of firm value.
Fungsi Idarah dan Akuntabilitas Pelaporan Keuangan Masjid
Authors: Birton M. Nur Abdullah , Tanjung Juita , Maryati  , Emalia Rendi
Published: May 2024

Purpose: This study seeks to achieve three main objectives: (1) discern the actuality of mosque financial reporting; (2) assess stakeholder expectations concerning mosque activities; and (3) evaluate the variance in expectations among stakeholders regarding the reality of mosque financial reporting accountability.
Methodology/Approach: The research employs a survey-based approach, utilizing a questionnaire for data collection. The population encompasses congregants, administrators, and supervisors located in the Pasar Rebo District of East Jakarta, including individuals associated with the Indonesian Mosque Council. Questionnaires were disseminated through both online channels using a Google form and through face-to-face interactions. Data were meticulously processed using SPSS 19, employing descriptive and inferential methods such as Analysis of Variance.
Findings: The study reveals that all mosques possess financial reports primarily intended for dissemination among the congregation, supervisors, administrators, and particularly, administrators themselves. Stakeholders exhibit a preference for the imarah function of mosques, coupled with a desire for more comprehensive mosque functions. Stakeholders anticipate activity reports, specifically in the form of an annually issued, printed document, submitted during management meetings. The ANOVA test indicates no significant disparities between expectations and the accessibility of financial reports.
Practical and Theoretical Contributions/Originality: This research augments existing literature by contributing insights from accountability surveys on mosque financial reporting, concentrating on the viewpoint of stakeholders within a specific geographical region. It extends beyond prior case-specific studies of mosques, enriching our comprehension of mosque financial reporting and accountability from a more comprehensive stakeholder standpoint.
Research Limitation: This study is limited within the constrained sample size and an uneven distribution of willing participants among mosques and respondents. The absence of assistance in completing the questionnaire via Google Form introduces the potential for misperceptions and interpretations of instrument items.
Засагт хан аймгийн Олхонууд гурван хошууны халхчуудын уламжлалт шүтлэг (XIX зууны эцэс XX зууны эхэн үе)
Authors: Батмөнх Баасанхүү
Published: May 2024

According to historical sources, Erdene zasag, Baatar zasag and Uizen zasag’ s hoshuud of Zasagt Khan aimag were written as the three Olhonuud hoshuu in Zasagt Khan aimag. In three hoshuud of Olkhonuud include Darvi and Chandmani of Khovd aimag, Khukhmorit, Bayan-uul and Jargalan sums of Gobi-Altai province. The research article aims to study the traditional beliefs of Khalkh people of Olhonuud three hoshuu in Zasagt khan aimag. In the traditional thinking of the Khalkh people of the Olkhonuud three hoshuu, traces of ancient worship and shamanism such as animism, smagy, and totemism have been handed down to a large extent.
Монгол Алтайн хадны зураг дахь зарим нарийн зураасан зураг
Authors: Adilbyek Mushyelkhan
Published: May 2024

This article discuss a comparative analysis of the detailed images, methods, thematic compositions, and chronological context of incised graffiti found in the rock art of Tsagaan Salaa-Baga Oigor of Ulaankhus soum, Shiveet Khairkhan of Tsengel soum, and Khoid Khöltsööt in Buyant soum of the Bayan-Olgii Province, in the western region of the Mongolian Altai. At these three sites, a total of 24 incised images are present, showcasing depictions such as deer, which are frequently encountered in petroglyphs, alongside representations of humans and chariots. Chronologically, these carvings range from the Bronze Age to the Turkic period.
A Distributed Optimal Formation Control for UAVs and UGVs
Authors: Zhang Pujing , Zhao Jichao , Dai Fengzhi , Song Yunzhong , Li Shuai , Wang Fuyong
Published: May 2024

This article addresses the optimal formation control for unmanned aerial
vehicles (UAVs) and unmanned ground vehicles (UGVs) system via a
distributed optimal control approach. A user-friendly global cost
function is well designed in a linear quadratic regulator (LQR) form.
The proper choice of the weighting matrices for optimizing the cost
function are given. To deal with the graph coupling of optimal control
and distributed control, we propose a distributed optimal formation
control protocol, and the protocol is independent of the communication
graph. The proposed protocol can guarantee the optimization of the cost
function and the achievement of the formation control. Three simulation
examples are provided to demonstrate the results.
Pediatric atypical teratoid/rhabdoid tumor in the cauda equina with rapid tumor progression: A case report and review of the literature
Authors: Ohno Makoto , Tsuchiya Takahiro , Watanabe Yuko , Fujita Shohei , Miyazaki Bunpei , Sugino Hirokazu , Igaki Hiroshi , Yoshida Akihiko , Takahashi Masamichi , Yanagisawa Shunsuke , Osawa Sho , Ogawa Chitose , Narita Yoshitaka
Published: May 2024

Atypical teratoid/rhabdoid tumors (AT/RT) rarely occur in the cauda
equina; thus, the clinical behavior and optimal treatment remain
unclear. A 9-year-old boy presented with a rapidly progressing
intradural extramedullary tumor at the L2–5 level, underwent tumor
resection, and was diagnosed with AT/RT. His gait disturbance improved
postoperatively, and he received adjuvant chemotherapy and radiotherapy.
In 5 months of follow-up, recurrence was not observed. Although
extremely rare, AT/RT should be included in the differential diagnosis,
as it requires prompt therapeutic intervention. Safe resection with
minimal functional impairment, followed by postoperative chemoradiation,
can lead to tumor control and improve neurological function.
Mechanism of rapid adaptive responses of macrophytes Vallisneria denseserrulata (Makino) to varying visible light transmittance: A mesocosm study
Authors: Xia Manli , Chen Yan , Chen Yimeng , Wang Xiaoyu , sun zuoliang , Zhao Xuyao , Li Gaojie , Yang Jingjing , Hou Hongwei
Published: May 2024

Light transmittance is a closely related and inseparable key
environmental limiting factor shaping the presence and distribution of
macrophytes in aquatic environments. However, little is known about the
responses of the morphology and photosynthetic capacity of macrophytes
to different light conditions. Here, we conducted a short-term mesocosm
experiment with Vallisneria denseserrulata as subjects, exposing
them to the light transmittance of 10%, 20%, 30%, 60%, and 100%.
Plant growth indicators and photosynthesis-related indicators were
monitored during the 28-day experiment. The results showed that V.
denseserrulata responded rapidly to changes in the light environment.
Under high light transmittance conditions, V. denseserrulata
rapidly expanded to obtain more resources. In low light transmittance
conditions, V. denseserrulata mainly maintained its growth,
rarely forming ramet, and grew longer leaves and larger leaf areas to
improve light acquisition ability. There were 158, 47, 192, and 554
differentially expressed genes (DEGs) were identified in the pairwise
comparison of 10%VS100%, 20%VS100%, 30%VS100%, and 60%VS100%,
respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and
Genomes (KEGG) analysis suggested that the DEGs were mainly involved in
“pigment biosynthetic” and “photosynthesis”. Furthermore, genes
involved in the photosynthesis pathway obtained different expression
levels in V. denseserrulata between different treatments. The
lower the light transmittance, the higher the expression of genes
involved in photosynthesis in V. denseserrulata. Therefore,
macrophytes have strong plasticity to maintain growth in stressful
environments. Synthesis: V. denseserrulata exhibits strong
plasticity in morphology, cytochrome production, and photosynthetic
pathway regulation to maintain its growth in low-light environments.
However, our results also indicated that the degraded underwater light
climate surely results in a decreased macrophyte community. These
results help elucidate the degradation process of submerged macrophytes
in turbid lakes and guide the restoration of aquatic plants in eutrophic
lakes.
The interaction between the Linnean and Darwinian shortfalls affects our understanding of the evolutionary dynamics driving diversity patterns of New World coralsnakes
Authors: Frateles Lívia , Tavares Guilherme , Nakamura Gabriel , Jr. Nelson Silva , Terribile Levi , Diniz-Filho Jose Alexandre Felizola
Published: May 2024

In this study, we sought to understand how the Linnean shortfall (i.e.,
the lack of knowledge about species taxonomy) interacts with the
Darwinian shortfall (i.e., the lack of knowledge about phylogenetic
relationships among species), potentially jeopardizing geographical
patterns in estimates of speciation rates, using New World coralsnakes
as a case study. For this purpose, we created an index of taxonomic
uncertainty that measures the likelihood of current species being split
after undergoing future taxonomic revisions. Next, we conducted
simulations in which branches of species with high taxonomic uncertainty
are split in the phylogenetic trees to generate new hypothetical species
along their geographic ranges. We found that a high number of coralsnake
species display substantial taxonomic uncertainty, positively correlated
with the latitude of the species’ geographical range centroid. The
estimated speciation rates based on currently available data have a weak
relationship with latitude. However, after incorporating taxonomic
uncertainty into the phylogeny, we detect a higher positive correlation
between speciation rate and latitude. This shift demonstrates that
taxonomic uncertainty can undermine empirical evaluation of the
geographical pattern estimates in speciation rates, revealing an
interaction between the latitudinal taxonomic gradient and the
latitudinal diversity gradient. Given that taxonomic changes can alter
the number of species recognized as valid over time, our study
highlights the need to incorporate taxonomic uncertainty into
macroecological and macroevolutionary studies, enhancing the robustness
of patterns inferred from these data.
Standing laparoscopic repair of a bladder rupture using barbed suture in a recently castrated horse.
Authors: Olivier Morgane , Vanderstock Johanne , Picandet Valérie , Buyck Camille , Tricaud Cyril , Robert Mickaël
Published: May 2024

A recently castrated 4-year-old Selle Français gelding was presented for
evaluation of a renal failure. Abdominal and transrectal ultrasonography
revealed a large volume of anechoic free fluid within the peritoneal
cavity with high creatinine concentration and a tear at the cranial pole
of the bladder. Medical management was initiated for two days, then a
standing laparoscopy was performed to close the defect using barbed
suture. After a transient acute renal injury, the gelding recovered and
was discharged from the hospital 13 days post-operatively. To our
knowledge, this case is the first report using barbed sutures on the
equine bladder.
Excessive AID accumulated by proteasome inhibitors rescues abnormal class switch in ABC-DLBCL
Authors: Jiao Junna , Lv Zhuangwei , Xu Chen , Wang Zhenzhen , Liu Zixian
Published: May 2024

Activation-induced cytidine deaminase (AID) is an enzyme that plays a
crucial role in mediating somatic hypermutation (SHM) and class-switch
recombination (CSR). It has been found to be related to aberrant
immunoglobulin CSR in activated B-cell-like diffuse large B-cell
lymphoma (ABC-DLBCL). In a previous study, we demonstrated that
proteasome inhibitor MG132 had a significant anti-lymphoma effect on
ABC-DLBCL, but the mechanism behind this remains unknown. In this study,
we observed that MG132 induced significant cell death in ABC-DLBCL cells
and inhibited the growth of ABC-DLBCL cell xenograft tumors. Our results
also showed that MG132 impairs proteasome degradation of AID, leading to
AID accumulation. Using AID-deficient C57/BL6 mice as a control, we
found excessive endogenous AID accumulation in C57/BL6 wildtype mice
treated with MG132, and apparent CSR of IgM to IgG1, IgG3 and IgE. In
stimulation of cytokines such as LPS and/or IL4, ABC-DLBCL cells showed
a noticeable increase in CSR of IgM to IgG1, IgG3 and IgE with decreased
AID ubiquitination. This study demonstrates that MG132 can induce AID
accumulation, which in turn restores dysfunctional CSR in ABC-DLBCL. The
use of MG132 as a tool elucidates the anti-lymphoma effect of proteasome
inhibitors on ABC-DLBCL by rescuing the abnormal AID-induced CSR.
MHb→IPN circuit causes respiratory depression, anesthesia, unawareness, slow wave sleep and memory replay.
Authors: Vadovičová Karin
Published: May 2024

I propose new roles for the medial habenula (MHb) and interpeduncular
nucleus circuits: MHb promotes slow wave sleep (SWS or NREM sleep),
hippocampo-cortical memory replay and consolidation, unawareness,
anesthesia, respiratory slowdown (also OIRD, opiate crisis),
synaptogenesis and neural growth by activating the IPN and its effectors
(Vadovičová, 2015). This MHb-IPN circuit interacts also with immune
response, directly at MHb, and disynaptically by inducing the median
raphe nucleus (MRN) serotonin release, that activates also the
brain-derived neurotrophic factor (BDNF) and dentate gyrus (DG)
neurogenesis. MHb activates melatonin release in pineal gland which is
inhibited by light (Ronnekleiv et al., 1980; Ronnekleiv and Moller,
1979). Medial septum and diagonal band of Broca (MS/DBB) inhibit MHb,
while stress, fear, worries, danger, noradrenaline, corticotropine
releasing hormone (CRH), and dopamine inhibit the IPN. Theta states and
arousal promoting regions inhibit the IPN, MRN or both (Vadovičová,
2015). The MHb is activated by safety, mBNST, posterior septum,
mu-opioids, endocannabinoids (they inhibit gabaergic MS/DBB input,
Vickstrom et al., 2021), glutamate, acetylcholine and nicotine. I
propose that IPN and claustrum are activated by ketamine, psychedelics
and serotonin via 5-HT2a receptors, causing loss of awareness by
inducing slow wave activity in cortex, basal ganglia and amygdala.