bluuebunny/crossref_metadata_2025 huggingface dataset:
Level of Health Literacy among High School Students and Associated Factors
Authors: Üner Asil Elif , Kara Recep , Aygün Özcan , Karayağız Muslu Gonca
Published: December 2024

Objective: Identifying the factors that influence health literacy among high school students is vital for improving health education and promoting effective health initiatives. This study aims to evaluate the health literacy levels of high school students and identify the associated factors influencing them.
Methods: A descriptive-correlational study was conducted involving 681 high school students from the Fethiye district in Turkey. Data collection utilized a sociodemographic data Form alongside the Health Literacy Scale for School-Age Children. Chi-square tests and multiple logistic regression analyses were applied to explore the relationships between health literacy levels and various socio-demographic and health-related factors.
Results: In this study, students' health literacy scores are at a medium level. The results showed significant associations between health literacy levels and factors such as age, economic status, perceived general and mental health, and daily internet and social media usage (p
Pengaruh Perputaran Modal Kerja dan Perputaran Piutang terhadap Profitabilitas pada PT. Indofood CBP Sukses Makmur Tbk yang Terdaftar di BEI Periode 2019-2023
Authors: Diva Ariska Ananda  , Anwar Ramli  , Andi Mustika Amin  , Nurman Nurman  , Annisa Paramaswary Aslam
Published: December 2024

This study aims to analyze the effect of working capital turnover and accounts receivable turnover on profitability at PT. Indofood CBP Sukses Makmur Tbk, listed on the Indonesia Stock Exchange (IDX), during the 2019–2023 period, by examining financial performance reports. The research employs a descriptive design with a quantitative approach. The analysis examines three variables: working capital turnover and accounts receivable turnover as independent variables, and profitability as the dependent variable. The testing is conducted using SPSS Statistics software version 25. The results of the study reveal three hypotheses, with one hypothesis accepted and two rejected. Therefore, it can be concluded that, in this study, only accounts receivable turnover has a significant impact on profitability, while working capital turnover does not affect profitability in the case study object, PT. Indofood CBP Sukses Makmur Tbk.
Mitrasacme (Loganiaceae): A new generic record to the Andaman and Nicobar Islands, India
Authors: Kumar Midigesi , Ekka Gautam , Dhole Pankaj , Singh Lal
Published: December 2024

Mitrasacme Labill. represented by M. pygmaea R.Br. var. pygmaea collected from Cinque Wildlife Sanctuary, South Andaman is reported here as new distribution record to the Andaman and Nicobar Islands. Taxonomy, technical description, distributional map and a photo plate are provided for easy identification.
Mazus motuoensis (Mazaceae): A new addition to the Indian flora
Authors: Chowlu Krishna , Maity Rohan , Ray Ajit , Kabeer Kadher
Published: December 2024

Mazus motuoensis W.B.Ju, Bo Xu bis & X.F.Gao (Mazaceae), a newly described species from China, has been discovered, collected and recorded for the first time from the state of Arunachal Pradesh in Indian Himalayan Region (IHR).
Work-family Conflict, Optimism, and Job Satisfaction among Teachers in Chinese Private Middle Schools
Authors: Li Juan
Published: December 2024

Work satisfaction is the emotional orientation that an employee holds toward their work. Prior researchers found that teachers in Chinese schools tend to have low job satisfaction and high turnover intention. However, the factors influencing job satisfaction among teachers in China is not well examined. There is a lack of attention to teachers in private schools in China. The importance of work-family conflict and optimism among employees were emphasized in prior studies, but few studies were conducted among Chinese middle school teachers. It is unclear how work-family conflict influence teachers wellbeing and performance. This study investigates the relationship between optimism, work-family conflict, and job satisfaction among middle school teachers in private schools in China. Utilizing a quantitative research design, the study surveyed 380 private middle school teachers in Changsha, China. Data analysis reveals that higher levels of optimism are associated with lower levels of work-family conflict and higher job satisfaction. Optimism was found to negatively impact job satisfaction, and mediates the relationship of work-family conflict and job satisfaction. These findings suggest that fostering optimism among teachers may mitigate the adverse effects of work-family conflict, thereby enhancing their job satisfaction. The study provides implications for school administrators and policymakers aiming to improve teacher well-being and effectiveness by addressing work-family balance and promoting a positive outlook.
Shared Leadership and Employee Innovation in Chinese Cultural Context
Authors: Wei Jiayi
Published: December 2024

Shared leadership, an emerging leadership model, emphasizes the distribution of leadership responsibilities and authority among team members. This article synthesizes the research on how shared leadership fosters innovation. This impact is through a range of mechanisms such as enhanced team collaboration, accountability, employee autonomy, continuous learning, and improved information flow. The unique feature of Chinese culture, such as collectivism, also play a role in the impact of shared leadership among Chinese organizations. The review in general indicates that shared leadership effectively motivates employees' creativity and innovative behavior, thereby enhancing overall organizational innovation performance.
The Chan Buddhist Monastery: History and Modern-day Evolution
Authors: Jin Isabella Zining
Published: December 2024

In 477 C.E., a temple was commissioned by the Northern Wei dynasty on Shaoshi Mountain, Henan Province, China. This temple, under the leadership of the foreign monk Bodhidharma (known as Fuuo in China), became the birthplace of Chan (Zen) Buddhism and developed into the globally renowned Shaolin Monastery. Bodhidharmas influence in Chinese Buddhism sparked the growth of the faith, attracting millions of followers and establishing Chan Buddhism as a major cultural and religious movement in East Asia.
AI-generated Content and Subcultural Influence: Career Dynamics of Middle-aged Female StreamersA Case Study of Nayina on Douyin
Authors: Li Yuanhang
Published: December 2024

The widespread application of artificial intelligence technology in the Internet field has triggered many changes in the cultural industry. In China, the deep integration of artificial intelligence technology and the live broadcast industry has brought new opportunities and challenges to the career development of middle-aged female network influencers. This paper takes Nayina, a well-known middle-aged female influencer on the Douyin platform, as a case study to explore the impact of artificial intelligence-generated content, fan culture and LGBTQ+ subculture on her career. The motivation of the study is to reveal how artificial intelligence-generated content reshapes the career trajectory of middle-aged female influencers and analyses its interactive relationship with network subcultures to fill the gap in the current research on middle-aged female influencers. The research method mainly adopts qualitative analysis, conducts a detailed case analysis of Nayinas career development trajectory, and combines literature review and data analysis. The results show that although AI-generated content can bring new career opportunities to middle-aged female influencers, it will also make them face more moral identity crises, especially under the instigation of spoof culture, leading to further deterioration of gender and age discrimination. This article argues that while AI technology gives creators new ways of expression, it also exacerbates the moral dilemma in online culture. In particular, middle-aged female influencers face the dilemma of traffic and professional dignity. The impact of AI-generated content is particularly significant. Therefore, in the future, the live broadcast industry should strengthen supervision of AI-generated content to safeguard creators' professional dignity and physical and mental health.
Tort-based Lawsuit: A Temporary Tactic but Not the Future of Climate Change Litigation
Authors: Wu Yun
Published: December 2024

In recent years, the world has witnessed an increasing number of climate change lawsuits. Individuals and organizations are now employing lawsuits as a tactic to push forward climate change legislation. However, the traditional model of tort-based lawsuit turns out to have an unfavorable outcome for the plaintiffs. The plaintiffs are faced with difficulties in different steps of legal reasoning including civil wrong, tortious act and causation. Besides, even if the plaintiffs win the lawsuit, enforcement of civil courts is limited. The defendants can only be sentenced compensation and finish their responsibility by paying a certain amount of money instead of taking methods to save the climate. In fact, the case-by-case nature of tort-based lawsuit makes it ineffective to slow down climate change. Plaintiffs, often individuals or non-profit organizations are faced with disparity in legal resources with the defendants, often giant enterprises. With the difficulties, more and more plaintiffs now turn their eyes on right-based lawsuit to save the climate. Ultimately, litigation is only a temporary tactic to fill the gap before the existence of laws about climate change. Governments should speed up the process of legislation, and introduce strong administrative supervision to climate change, to save the climate.
The Relationship Between Upbringing Styles and Mental Health of Chinese College Freshmen: The Mediating Role of Body Appreciation
Authors: Hong Wuman
Published: December 2024

Nowadays, college freshmen face more psychological challenges and report more body image issues. However, as an important influence on mental health, upbringing style lacks research on external transmitters. At the same time, the body image issue is highlighted in freshmen and, as the core content of positive body image, body appreciation is called for more attention. This study analyzed the relationship between upbringing styles and mental health and body appreciation using quantitative research methods with a sample of 502 (101 males and 401 females) Chinese college freshman. The results found that rejection and overprotective upbringing styles were negatively associated with mental health, emotional warmth was positively associated with mental health, and that body appreciation played a mediating role in upbringing styles and mental health. The results informed mental health education in higher education and to complemented existing body appreciation research.
The Role of Art Therapy and Advanced Medical Technology in Supporting Elderly Mental Health: Applications in Loneliness Reduction and Social Connectivity Enhancement
Authors: Huang Shan
Published: December 2024

This paper investigates the effects of a combination of art therapy and medical device interventions on stress reduction, loneliness and social connection among the elderly in rehabilitation hospitals. The subjects saw artworks, activated memory, and performed expressive art-making, using instruments that prompted memory recall and relaxation. They measured pre- and post-intervention cortisol, loneliness, and social satisfaction using quantitative and qualitative data. Researchers found significant decreases in stress biomarkers and loneliness scores, as well as higher social connectivity. These findings show how integrative art therapy could be a non-invasive means of mental health support for the old that provides profound emotional and social benefits. Its clear from this work that the combination of traditional therapeutic art techniques and technological devices could provide a roadmap for gerontological care.
A Feminist Perspective on the Interaction Discourse Between Female Bloggers and Users on Social Media: A Case Study of Xiaohongshu
Authors: Yan Jingxi
Published: December 2024

With the development of digital media, feminist thought has demonstrated new modes of dissemination on new media platforms. This paper aims to analyze the interactions between female bloggers and users from a feminist perspective using discourse analysis as a tool. The study explores the deeper motivations and influencing factors behind interactive discourse to foster a more equitable and inclusive discussion on gender issues and a more harmonious social media discourse space. It also seeks to provide theoretical support and methodological reference for scholars studying the dissemination of feminism on new media platforms.The research finds that the pragmatic strategies of users and bloggers differ but are both influenced by subjective emotional tendencies. Furthermore, the study reveals that the discursive identities of users and bloggers in interactions are shaped by the discourse scenarios constructed by bloggers: the closer the content is to the users' lives, the tighter the connection between their discursive identities, and vice versa. Additionally, different types of content play varying roles in the operation of feminist blogger accounts.
Deconstruction and Reconstruction: Defining New Yellow Journalism in the New Media Era from the Perspective of News Elements
Authors: Dong Bingfei
Published: December 2024

Since April 12, 2024, when Peoples Daily published the article The Qin Lang Lost Homework Incident Is Fabricated, Influencer Apologizes! The Proliferation of New Yellow Journalism Is Dangerous in response to the viral online topic Qin Lang Losing Homework in Paris, the term new yellow journalism has entered the public discourse. There is now a general consensus in academia regarding the definition of new yellow journalism, but discussions in the field of news elements remain incomplete. Most research focuses on the impact of news values on newsworthiness from a realistic perspective, and Western studies on new yellow journalism are limited to political aspects and do not delve into its effects on public life. This article, based on the perspective of news elements, distinguishes the term new yellow journalism from yellow journalism and tabloid or sensational news, analyzing its defining features and attempting to explain the characteristics of this journalistic phenomenon that emerged in a specific period.
A New Face Database of Asian Faces with Multiple Angles and Lighting Variations
Authors: Diao Fanyu
Published: December 2024

With the rapid development of face recognition technology, the demand for face databases in constructing various face-related models is increasing, along with higher requirements for database completeness and quality. However, the number of available databases containing Asian faces is limited, and the proportion of Asian faces in these databases is generally low. This situation somewhat restricts the accuracy of various models in applications involving Asian face recognition. Therefore, this paper proposes a face database specifically designed for the Asian face recognition. To achieve this goal, this paper meticulously setup shooting scenarios and recruited enough volunteers to participate in face image collection. Therefore, this paper collects successfully a new database that covers multiple angles and combinations of lighting variations of Asian faces. Experimental results show the potential of this database in Asian face recognition.
The impact of artificial intelligence on English learning among Chinese undergraduates
Authors: Guan Heyuan
Published: December 2024

With the introduction of artificial intelligence (AI) into education, Chinas English education in the university has also been affected. The COVID-19 pandemic accelerated the application of AI tools in education. This study investigates the practical use of AI tools in English learning among Chinese undergraduates before, during, and after the pandemic. Students perspectives were collected through questionnaires. And its data was analyzed by using frequency analysis and multiple response analysis in SPSS. Teachers perspectives were gathered through interview. The study explored their views, attitudes and experience with AI-assisted learning tools such as online learning platforms, generative AI, machine translation tools and speech recognition software. The findings revealed that the integration of AI into English learning has produced positive outcomes in practical application. Students have actively embraced AI-assisted English learning, with AI tools meeting diverse learning needs, significantly improving learning efficiency, and personalizing learning resources. Some teachers also recommend students to use AI tools to assist their learning as needed. Although teachers and students generally holding a positive attitude towards AI-assisted English learning, they all express concerns about the ethical use and over-reliance on AI. Future research should focus on establishing ethical guidelines for AI use, strengthening regulation and innovating technologies for AI tools.
Research on the application of BIM technology in engineering project auditing
Authors: Li Kunfang
Published: December 2024

Engineering project auditing is a core process to ensure the rational use of funds in engineering projects. With the development of information technology, the construction industry is undergoing a digital transformation. The application of BIM technology in engineering projects has significantly improved the efficiency and effectiveness of engineering project auditing. This paper delves into the application and innovation of BIM technology in engineering project auditing. First, it provides an overview of the basic concepts of BIM technology and its current application status in the engineering field. Next, the paper analyzes the problems and challenges faced by engineering project auditing and elaborates on the opportunities and advantages of applying BIM technology in this field. Finally, the paper proposes application scenarios for BIM technology in engineering project auditing, aiming to promote the development and innovation of BIM technology in the field of engineering project auditing.
Institutional Practices for International Academic Mobility at the University of Juba, South Sudan
Authors: Kiri Adrew , Etomaru Irene , Wanyama Kadian , Kuol Akuei
Published: December 2024

International academic mobility is crucial for the internationalization of higher education. However, information on the practices at the University of Juba in South Sudan is limited. In this article we explore these practices through data from 14 knowledgeable participants. Findings indicate that mobility practices for students and staff are ad hoc and primarily focus on outbound mobility. This imbalance could lead to brain drain and negatively impact the university’s reputation and competitiveness. The University of Juba needs to prioritize the development of comprehensive academic mobility programs.
Juurikääpä altistaa kuusia kirjanpainajatuhoille
Authors: Wahlman Werna
Published: December 2024

Tutkimuksessa tarkasteltiin kuusen kahden pahimman tuhonaiheuttajan – juurikäävän ja kirjanpainajan – välistä yhteyttä. Juurikääpä altistaa kuusia kirjanpainajan hyökkäyksille etenkin silloin, kun kaarnakuoriaisten populaatiotiheys on alhainen. Ilmastonmuutoksen myötä juurikääpätartuntojen ja kirjanpainajan aiheuttamat tuhot voivat lisääntyä, sillä lämpötilan kohoaminen ja kasvukauden piteneminen suosivat molempia tuhonaiheuttajia.
Thực trạng tự chăm sóc của người bệnh đái tháo đường típ 2 tại xã Giao Hải, Nam Vân và Thị trấn Mỹ Lộc, tỉnh Nam Định năm 2024
Authors: Trần Thị Phương Anh , Mai Thị Lan Anh , Vũ Văn An , Nguyễn Thị Hoa , Lê Thanh Hà
Published: December 2024

Mục tiêu: Mục tiêu nghiên cứu là mô tả thực trạng tự chăm sóc của người bệnh đái tháo đường típ 2 tại cộng đồng tỉnh Nam Định năm 2024 và xác định một số yếu tố liên quan đến hành vi tự chăm sóc của họ.
Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang trên 300 người bệnh đái tháo đường típ 2. Sử dụng phương pháp chọn mẫu chủ đích tại 3 xã (xã Giao Hải, xã Nam Vân, Thị trấn Mỹ Lộc) của tỉnh Nam Định, thời gian lấy số liệu từ tháng 6 đến tháng 8 năm 2024. Sau đó chọn thuận tiện người bệnh đái tháo đường típ 2 tại 3 xã cho đến khi đủ số mẫu. Kết quả tự chăm sóc tốt khi tổng số điểm đạt (6,1 – 7,0); tự chăm sóc khá với tổng điểm đạt (4,1 – 6,0); tự chăm sóc trung bình đạt (2,1 – 4,0); tự chăm sóc kém đạt (0 – 2,0). Các dữ liệu được phân tích, xử lí bằng phần mềm STATA 18 với mức ý nghĩa thống kê p < 0,05.
Kết quả: Tổng điểm trung bình của các hoạt động tự chăm sóc theo SDSCA của người bệnh đái tháo đường típ 2 là 3,1 ± 1,0, xếp loại ở mức trung bình. Các hoạt động tự chăm sóc như chế độ ăn, hoạt động thể lực, và tuân thủ dùng thuốc đều đạt điểm trung bình, trong khi chăm sóc bàn chân và kiểm tra đường huyết có điểm kém, lần lượt là 1,7 ± 1,5 và 0,3 ± 1,1. Kết quả này cho thấy đối tượng nghiên cứu có mức độ tự chăm sóc khác nhau, với các hoạt động liên quan đến đường huyết và chăm sóc bàn chân ở mức kém. Tổng điểm trung của các yếu tố liên quan đến khả năng tự chăm sóc theo SDSCA cho thấy nam giới có khả năng tự chăm sóc cao hơn nữ giới với điểm trung bình là 3.3 so với 3.0, sự khác biệt có ý nghĩa thống kê (p = 0.013). Kết quả này cho thấy giới tính là một yếu tố quan trọng ảnh hưởng đến khả năng tự chăm sóc sức khoẻ của người bệnh đái tháo đường.
Kết luận: Cần tăng cường các chương trình giáo dục sức khoẻ và hỗ trợ từ cộng đồng để người bệnh hiểu rõ hơn về sự nguy hiểm của bệnh đái tháo đường típ 2.
Domain Wall Bianchi Type Vi0 Universe In F (R, T) Gravity
Authors: Hatkar S. P. , Tadas D. P. , Katore S. D.
Published: December 2024

We consider the Bianchi type-VI0 space time with domain walls in the framework of the modified f (R, T ) theory of gravitation. To solve the field equations, we assume that the shear scalar σ is proportional to the expansion scalar ϴ. We also consider the parametrization of the equation of the state parameter of barotropic fluid and discuss the effect on domain walls. It has been observed that the domain wall may behave like dark energy. Some physical parameters are also discussed in detail.
Рассмотрено пространство-время типа Бьянки VI0 с доменными стенками в рамках модифицированной теории гравитации f (R, T ). Для решения уравнений поля предполагается, что скаляр сдвига σ пропорционален скаляру расширения ϴ. Рассматривается также параметризация уравнения состояния баротропной жидкости и обсуждается влияние на доменные стенки. Было замечено, что доменные стенки могут вести себя как темная энергия. Также подробно обсуждаются некоторые физические параметры.
Understanding Medical Healthcare Solutions in GIS Platform: A Review
Authors: MC Manjunatha , B Madhu , KS Sahana , BM Suraj , M Mounika , M Chaithra , DVSK Mansapriya
Published: December 2024

Geographic Information System (GIS) software technologies have a wide range of uses in healthcare, improving the efficiency and effectiveness of many medical services. GIS has become an essential tool in the healthcare industry, enabling visualization, analysis, improve healthcare management and delivery, and support long-term developments of spatial health data. Mapping and analysis of medical data through GIS tools helps in allowing health organizations to better understanding of disease spread, patterns and trends across geographic regions. This provides a strong data management system allowing researchers to get insights into how disease spread connects patient records. It has become a must-have tool for public health practitioners, allowing for data-driven decision making, more efficient resource allocation, and improved disease surveillance and response. The National Geospatial Policy 2022 is a 13-year guideline issued by the Govt. of India to boost the nation’s geospatial data business and create a country-level framework for using such data to improve citizen services. GIS enables healthcare organizations to make better educated, data-driven decisions that take into account the specific geographic and demographic characteristics that influence medical and public health concerns.
Mental health, gender and COVID-19: challenges for Brazilian women in the pandemic
Authors: Carneiro Ferreira da Silva Karoline , Santos de Sá Galina Mariana , Cansian Fioreze Jordana , Nunes de Jesus Marconcini Camila , Viana Ribeiro Walesca , Patricio da Silva Alan
Published: December 2024

Objective: To analyze Brazilian publications on gender, mental health, and the pandemic in the first two years of COVID-19.
Method: A scoping review was conducted in the PubMed, Lilacs, Scielo, and Pepsic databases. The descriptors “Pandemic” or “COVID-19” and “Gender” and “mental health” or “psychosocial care” were used. Of the 392 studies found, 34 met the defined inclusion and exclusion criteria.
Results: The pandemic has significantly impacted the dynamics of Brazilian families, exacerbating gender inequalities and increasing psychological distress, especially in women and vulnerable populations. The studies analyzed highlighted difficulties in accessing psychosocial care and reinforced the importance of public policies that consider gender specificities . The changes brought about by the health crisis have highlighted the need to rethink practices and policies to promote a fairer and more humane response to mental health.
Conclusion: The results reinforce the need for public policies aligned with breaking with patriarchal and asylum logic, promoting gender equity and inclusive psychosocial care. These measures are crucial to face the challenges imposed by the pandemic and reduce structural inequalities.
Next-Generation Ransomware Defense: High-Performance Computing Strategies for Monitoring Disk I/O and CPU Performance
Authors: Rishitha Khirsagar , Reddy Mr.Y.Manohar , Rao D.Kundhan , Kumar Manish
Published: December 2024

Ransomware frequently bypasses
antivirus tools, encrypting files and making data
inaccessible. Traditional detection methods, which
involve monitoring processes, system calls, and file
activities, have high overhead and can be disrupted
by sophisticated ransomware. This
Researchintroduces a method for detecting
ransomware on a virtual machine by collecting
specific processor and disk I/O event data from the
host machine and using a machine learning
classifier. The random forest model excelled among
seven classifiers, achieving 0.98 accuracy within
400 milliseconds across various user loads and 22
ransomware types.
INDEX TERMS Deep learning, disk statistics,
hardware performance counters, machine
learning, ransomware, virtual machines.
An Overview of Deep Learning Approaches for Bird Sound Recognition
Authors: PK Nisha , CK Hariharan , Harikumar Hima , M.P Sandra , S Siva
Published: December 2024

The Avian Vocal Recognizer (AVR) is a
developing field that utilizes deep learning techniques for bird
species recognition from vocalizations. This review highlights
recent progress in audio classification using Convolutional
Neural Networks (CNNs) and Recurrent Neural Networks
(RNNs) for feature extraction and temporal pattern recognition.
Techniques like Mel Frequency Cepstral Coefficients
(MFCCs) further boost the performance of the system along
with transfer learning. Hyperparameter tuning has also been
found to be promising for enhancing model results, though it is
yet to be explored. Data augmentation techniques such as time
stretching, pitch shifting, and noise introduction reduce the
problems of limited data. Lightweight frameworks such as
TensorFlow Lite enable real-time applications, broadening
practical usability. Avian vocal recognition systems play a vital
role in ecological monitoring, biodiversity conservation, and
habitat assessment. Through bird vocalizations, these systems
offer information on population dynamics, migratory patterns,
and ecosystem health, significantly contributing to global
conservation efforts. This review synthesizes current
methodologies and trends, offering a comprehensive overview
of their applications and impact on conservation science.
Key Words: Deep Learning, Avian Vocalization, Bird Species
Recognition, CNN, RNN, Bioacoustics.
Quality Management System Implementation at Construction Projects
Authors: Majumdar Satwata Mitra
Published: December 2024

ISO 9001:2015 certification sets the criteria for Quality Management System implementation in all types of
organizations, small or large, regardless of its activity in the field. This standard is designed on a number of principles
leading to customer focus, top management participation, process-based approach & continual improvement in product
& services, which in turn brings business benefits.
Construction industry in India is expected to grow steadily over the next few years after going through the recession
in FY’2020-21 due to the “Covid lockdowns”. Indian Government is pushing the projects for mining, infra, railways
& commercial buildings leading to continuous flow of contracts & emergence of new players in the construction
market.
Construction Companies in India are in an emerging trend for implementation of Quality Management System through
ISO 9001:2015 certifications. This requires a proper framework for a realistic approach towards the implementation
of the Quality Management System to get the desired output consistently. For ensuring consistently high product
quality, credibility & recognition, ISO 9001:2015 certification in construction industry is also getting popular. The
current research project focus in the implementation of Quality Management System in the construction industries to
ensure the benefits of ISO 9001:2015.
For easy understanding of the QMS framework suitable for the Construction Industry and to successfully implement
Quality Management System Principles in line with ISO 9001 across all the functions in an organization the project
study will be useful.
DETECTION OF AI GENERATED IMAGES USING DEEP LEARNING
Authors: B Sandeep , S Nair Spandana , Kannammanavar Sahana , B S Saanvi , U Shivani
Published: December 2024

This Gradio app detects fake images
using a fine-tuned InceptionResnetV1 model with
VGGFace2 weights. It employs MTCNN for face
detection and extraction, resizing the face for
model compatibility. Grad-CAM provides
explainability by highlighting face areas
influencing predictions, overlaying a heatmap on
the original image. The model outputs confidence
scores for "real" or "fake" classifications. Results
and visualizations are displayed in an interactive
Gradio interface.
Keywords- Deep fake Detection ,Convolutional
Neural Networks (CNNs),Generative Adversarial
Networks(GANs), Image Forensics, Anomaly
Detection, Artifact Detection, Feature Extraction,
Visual Inconsistencies, Adversarial Robustness.
AI-Enhanced Learning Hub: Lesson Planning with Student Quizzes
Authors: G Kamath Shravani , Karnam Suchit , Kumar Sushil , Jadhav Umesh , S Dr.Nirmala
Published: December 2024

Abstract--The KnowBridge project is a cutting-edge AI-
driven educational platform designed to enhance

instructor-student connections through technological
automation of key aspects of the teaching and learning
process. This system also to support syllabus
management, test item bank creation and performance
tracking during the process it also creates an integrated
academic system. The core of the functionality is teachers
uploading the syllabus into the image format. Using
contemporary Optical Character Recognition (OCR)
technology, the system extracts and classifies the text into
a hierarchical taxonomy of how topics will be covered for
the semester. This organised syllabus ensures
synchronisation between teacher and student and
between both, on the other, which in turn offers clarity
and consistency.
The moment a topic is wrapped up, the teacher confirms
the topic as "completed" in the interface, and
subsequently the AI generates a bespoke quiz on topics
discussed. Quizzes assess the knowledge and feedback of
students in real time, and the outcome is stored in a
common database. Teachers are
also furnished with the performant data, which enables
them to further monitor the student's performance and
to determine where the students need more
attention. This automated evaluation system has the
potential to accelerate the evaluation process besides
supporting the decision-making through data-informed

inputs to help develop more successful teaching
strategies.
Assignments generation for syllabus units in
KnowBridge are in order to facilitate teaching with
particular goals. Tasks automated via grading of
objective questions reduce workload for teachers and
offer timely feedback to students. KnowBridge, which by
means of automation and analysis, builds an open,
efficient, and participatory environment of learning. It
allows teachers, who have access, ways to more effectively
prepare and supervise the instruction, while also
retaining the attention and interest of the students. At
last, this site can facilitate teachers and students alike to
focus their attention on the achievement of academic
success.
Keywords- Artificial Intelligence, OCR, MCQ
Generation, Test Item Bank Creation
AI Integrated E-Voting Hub: An Online Secure Voting System
Authors: Journal IJSREM
Published: December 2024

The emergence of technology has changed the way we operate with our governing bodies and democratic
structures. Traditional voting, involving paper ballots and physical polling locations, increasingly occurs alongside
online voting systems (e-voting) that allow remote participation. The paper presents the advantages and
disadvantages of the implementation of Internet voting with an emphasis on security issues, accessibility for voters
and the increase of turnout. The study purports to determine the suitability and future of online voting systems
through an appraisal of available literature, a proposed architecture of the conceptual online voting system, as well
as, data flow diagram. It ends with the conclusion that although online voting is a promising prospect for increasing
democratic engagement, it is vital that security and privacy as well as the proper technology are taken into account
before the nationwide implementation of such a system.
Keywords: : AI, Architecture, Blockchain Database, Cybersecurity, Online, Transaction
Key Features to Improve CRISPR sgRNA Efficacy
Authors: Journal IJSREM
Published: December 2024

The CRISPR-Cas9 system has revolutionized genome editing by enabling precise and efficient modification
of genetic sequences. However, the efficacy and specificity of this system largely depend on the design and
optimization of single guide RNA (sgRNA). Effective sgRNA design requires consideration of several factors,
including sequence specificity, GC content, secondary structure formation, and proximity to the protospacer adjacent
motif (PAM). These factors influence the binding stability of the sgRNA to the target DNA and the cleavage efficiency
of the Cas9 protein. Additionally, minimizing off-target effects is crucial for ensuring the precision of genome editing.
This can be achieved through the use of computational tools to predict potential off-target sites, optimization of
sgRNA length, and employing engineered Cas9 variants such as high-fidelity Cas9 (HiFi-Cas9) and Cas9-HF1, which
offer improved specificity. Experimental factors, including the delivery method of the CRISPR components and the
choice of the Cas protein variant, also play a critical role in determining overall efficacy. Advances in understanding
the biophysical and biochemical interactions of sgRNA, along with continuous improvements in computational
prediction tools and Cas9 engineering, have significantly enhanced the reliability and scope of CRISPR applications.
This review provides an in-depth discussion of the critical features influencing sgRNA efficacy and highlights
emerging strategies to optimize CRISPR-Cas9-based genome editing for research and therapeutic purposes.
Keywords : CRISPR-Cas9, genome editing, single guide RNA (sgRNA), sequence specificity, GC content,
secondary structure, protospacer adjacent motif (PAM), off-target effects, computational tools, sgRNA optimization,
high-fidelity Cas9 (HiFi-Cas9), Cas9-HF1, Cas protein variants
The Influence of Achievement Motivation and Work Discipline on Employee Performance
Authors: Lestari Irma , Sukmalana Soelaeman , Suherman Asep Rochyadi , Titi Titi
Published: December 2024

Kidney The objective of this study is to ascertain and scrutinize the impact of achievement motivation on the performance of employees, the impact of work discipline on employee performance, and the impact of motivation and work discipline on employee performance. The employed research methodology entails the utilization of both descriptive and verification techniques. The present investigation concerns the populace of laborers affiliated with a forthcoming enterprise situated in Bandung. The study's sample size encompasses 124 respondents, who select through the Slovin technique. The process of gathering information is executed via questionnaires, whereas data examination is conducted through path analysis.
The statistical analysis results indicate that Achievement Motivation (X1) exerts a direct impact of 28.4%, an indirect impact through competence (X2) of 17.2%, and a cumulative impact of 45.6%. The variable denoted as work Discipline (X2) exerts a direct impact of 14.4% and an indirect impact through achievement Motivation (X1) of 17.2%, resulting in a cumulative impact of 31.5%. The present study reports that the percentage value of the coefficient of determination (R2) signifies the extent to which the performance variable is determined by the independent variables, namely Achievement Motivation (X1) and Work Discipline (X2). The obtained R2 value is 77.1%. The present study did not investigate certain performance-affecting factors; however, their influence was suggested by the observed value of ɛ = 0.229, equivalent to 22.9%. Thus, it infers that the presence of Achievement Motivation and Work Discipline results in a favorable and noteworthy impact on the overall performance of employees.
The Effect of Social Media on Youth in The Digital Era
Authors: Sundarsih Dedeh , Sudiarti Sri
Published: December 2024

This research aims to analyze social media's influence on forming Pancasila's character among adolescents in the digital era. The research utilizes a quantitative approach with a survey method and simple random sampling of 100 active social media users among teenagers in Tasikmalaya. The collected data is analyzed using linear regression. The research findings indicate a significant correlation between social media usage and forming of Pancasila characters among adolescents in the digital era. The more frequently teenagers use social media, the lower their Pancasila character tends to be.
Additionally, the type of social media users also has varying effects on forming Pancasila's character. Teenagers frequently use social media platforms focused on physical appearance and lifestyle and tend to have lower Pancasila characteristics. This research contributes to the development of theories regarding social media's influence on forming Pancasila's character among adolescents. The results can be a reference for parents and teachers in supervising teenagers' social media usage and cultivating a stronger Pancasila character.
Implementation of Simple Additive Weights to Determine Priorities for The Resolution of Information Technology Problems
Authors: Santoni Rizky Panji , Sudrajat Jajat , Riswaya Asep Ririh
Published: December 2024

The Regional Secretariat of West Java Province (Setda Jabar) is a government agency within the local government environment in West Java Province. Along with the development of information technology, using technology such as computers and the internet in a government agency is very important to support work. There are times when devices and systems do not work correctly, such as internet disturbances and computer software and hardware problems handled by technicians. Technicians not only manage information technology infrastructure at the West Java Regional Secretariat but also manage information technology infrastructure in three (3) official houses. Technicians are also faced with an organizational structure with many bureaus and sections. There is yet to be a definite procedure in the complaint reporting process. There is no helpdesk system as a reporting medium. With the many bureaus, the number of information technology facilities served so that technicians find it difficult to determine the priority of the work that must be served first. Given these problems, a Decision Support System approach uses the Simple Additive Weight method by using determining criteria and weights. The criteria used include Work Units, Positions, Types of Complaints, and Official Notes. The system development method used is Object Oriented Analysis Design (OOAD). This system is expected to assist technicians in determining services that match their needs and situations.
The Impact of Price and Promotion on The Consumer's Buying Behavior in The Metropolitan Region of Bandung
Authors: Supriadi Edi , Larashati Irena , Dwiyanisa Ashila , Jannah Annita , Herawati Octaviane
Published: December 2024

The present research endeavors to examine the impact of price and promotion on the consumer's buying behavior in the metropolitan region of Bandung. The study employs path analysis to establish that consumer choices are significantly influenced by both price and promotion. The study's sample comprises 81 customers, which accounts for 7% of the total transactions that occurred in 2019. The influence of price on consumer purchase decisions is positively correlated, whereas promotion has both a direct and indirect positive impact. The present findings are consistent with prior research, emphasizing the crucial significance of price and promotion in influencing consumer behavior. The findings have led to the formulation of suggestions for enterprises that are functioning in the region of Bandung. It is recommended to perform a thorough examination of diverse pricing benchmarks in order to evaluate competitiveness and the consumer's value proposition. It is advisable to allocate resources towards efficacious promotional strategies in order to augment consumer awareness and stimulate interest in products. The implementation of successful promotional strategies has the potential to exert a favorable impact on the purchasing behavior of consumers. Additional research could delve into alternative factors that may influence consumer decision-making, thereby augmenting comprehension of consumer behavior through the inclusion of supplementary variables. The research acknowledges a number of constraints. The study exclusively centers on the influence of price and promotion in relation to purchase behavior, disregarding other variables such as product excellence, brand image, and customer support. Subsequent studies may consider incorporating these variables to conduct a more thorough analysis. Notwithstanding the aforementioned constraints, this research offers significant perspectives for enterprises in Bandung to guide their pricing and promotional approaches.
Comparison between classical and robust methods for linear model parameters in the presence of outlier’s values
Authors: Talib Hayder Raaid , Madhloom Sarah Adel , Aazer Kareem Khalaf
Published: December 2024

The subject of regression is one of the subjects that has become widely applied by those interested in various social and economic sciences, because it describes the relationship between variables in the form of an equation. The linear equation that includes explanatory variables is called the linear regression equation. To describe any phenomenon using regression models, the model assumptions must be met, as well as the importance of the accuracy of the data and its analysis on the accuracy of the results to be achieved in any scientific research. Hence, the interest in studying the integrity of the data, which is considered a necessary issue for the integrity of the results. It is obvious in any scientific research that we purify the data from outliers, if any, and then the presence of outliers in the selected sample helps to shade the results of the statistical analysis, and certainly the shading is greater the greater the number of those values or the greater the deviation of these values from the rest of the observations of the selected sample. The importance of this research came in estimating the parameters of the regression model using the usual methods (least squares) and robust methods (M method and MM method). The methods were compared using the root mean square error criterion using the simulation method, where different sample sizes were generated with four different ratios of outlier’s values. It was noted that the superiority of robust methods was observed for all ratios of outlier’s values and sample sizes.
Pendampingan Penggunaan Writing Tools dalam Peningkatan Karya Tulis Mahasantri Pondok Pesantren Sunan Drajat Lamongan
Authors: Ulum Miftachul , Mun’im Abdul
Published: December 2024

The activity of mentoring the use of writing tools aims to provide understanding and training to the students of Pondok Pesantren Sunan Drajat in compiling articles and scientific papers. The mentoring method is through workshop activities and practice compiling articles using the writing tools application. The implementation of the assistance was carried out on May 1, 2024 which was attended by 20 mahasantri. The result of the service is the realization of the understanding and ability of the assisted participants in preparing articles using a set of writing tools applications. In conclusion, the participants can use the writing tools application in preparing articles and scientific papers.
Succession and Colonization Pattern of Forensic Flies on Decomposing Carcasses of Indian Cormorant Phalacrocorax fuscicollis and Rohu Labeo rohita
Authors: Kar Oishik , Naskar Atanu , Mukherjee Arka , Banerjee Dhriti
Published: December 2024

Necrophagous Diptera are the first arthropods that inhabit carrion, enabling microbial decomposition and aiding in maintaining ecosystem balance, thus being important from ecological and forensic standpoints. This study compared dipteran fauna collected from Indian Cormorant (Phalacrocorax fuscicollis Stephens) and Rohu (Labeo rohita Hamilton) corpses in Kolkata’s urban environment. During this research, 1466 fly specimens were collected and identified from two carcasses comprising 5 families, 6 genera, and 9 species of forensic flies. In the avian carcass, dipteran families Calliphoridae, Muscidae, and Sarcophagidae were more abundant compared to the fish carrion. The common genera of dipterans that visited both carcasses were Chrysomya, Sarcophaga, Sepsis, Musca, and Atherigona. The dominant species of Diptera on both carcasses and throughout all the decomposition stages was Chrysomya megacephala Fabricius, thus indicating it as the most valuable species for post-mortem interval (PMI) determination in criminal, homicidal and wildlife poaching cases from the urban habitat of Kolkata.
Diagnostics of Planococcus vocae (Nasonov) from Uzbekistan
Authors: Ilyosbek Isakov B , Alijon Khusanov K , Ozodbek Sobirov T , Kozimjon Zakirov , Ugiloy Turgunova Sh
Published: December 2024

In recent years, ornamental plants such as Juniperus and Cupressus in Uzbekistan have faced serious threats from sucking pests. One of these species, Planococcus vovae, is a significant pest for coniferous plants. Large populations of this infest all above-ground parts, leading to chlorosis, stunted growth and development, and causing needles, branches, or even the entire plant to dry out. Early detection and control have become essential issues, and this study focuses on Planococcus vovae (Nasanov) in Uzbekistan, detailing its distribution, on host plants, natural appearance, and morphology of female. Through molecular-genetic studies, species identification was clarified by examining mtCO1 gene sequences.