Volume 13 | Issue 4 |

 Abstract

AI-powered visual content moderation systems play a crucial role in maintaining digital safety and integrity. These systems employ advanced machine learning, computer vision, and deep learning algorithms to analyze and filter images and videos based on predefined standards. By recognizing objects, scenes, and facial expressions, AI moderators can detect explicit, harmful, or misleading content. Additionally, metadata and text extraction aid in understanding contextual elements within multimedia files. While AI moderation offers efficiency and scalability, it faces challenges such as bias, false positives, and contextual misinterpretation. Ethical concerns, including privacy and censorship, necessitate continuous refinement and human oversight to ensure fairness and accuracy in automated moderation. As AI technology evolves, integrating improved models and diverse datasets will help create more responsible and adaptable content moderation frameworks.

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 Keywords

Artificial Intelligence (AI) ,Content Moderation ,Visual Analysis ,Image Recognition ,Machine Learning (ML)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

One of the most profound impacts of technology on corporate law is the automation of routine legal processes. Tools such as contract management software, legal research platforms, and document automation systems have streamlined various functions, allowing legal teams to operate more efficiently

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Block chain, due diligence, billable, Natural language processing, Artificial intelligence

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Creative Commons Attribution 4.0 and The Open Definition

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Diabetes Mellitus is among the critical diseases and many people are suffering from this disease. Age, obesity, lack of exercise, hereditary diabetes, lifestyle, bad diet, high blood pressure, etc., can cause Diabetes Mellitus. People with diabetes have a high risk of diseases like heart disease, kidney disease, stroke, eye problem, nerve damage, etc. Current practice in hospital is to collect required information for diabetes diagnosis through various tests and appropriate treatment is provided based on diagnosis. Big Data Analytics plays an significant role in healthcare industries. Healthcare industries have large volume databases. Using big data analytics one can study huge datasets and find hidden information, hidden patterns to discover knowledge from the data and predict outcomes accordingly. In existing method, the classification and prediction accuracy is not so high. In this paper, we have proposed a diabetes prediction model for better classification of diabetes which includes few external factors responsible for diabetes along with regular factors like Glucose, BMI, Age, Insulin, etc. Classification accuracy is boosted with the new dataset compared to the existing dataset. Further, a pipeline model for diabetes prediction was imposed, intended to improve classification accuracy.

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 Keywords

Diabetes Prediction, Machine Learning, Predictive Modeling, Disease Diagnosis, Type 2 Diabetes, Risk Factor Analysis, Data Mining, Classification Algorithms, Feature Selection, Model Evaluation, Predictive Analytics, Early Detection, Healthcare Informatics, Medical Diagnosis, Artificial Intelligence in Healthcare.

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Creative Commons Attribution 4.0 and The Open Definition

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Transcranial Direct Current Stimulation (tDCS) is a non-invasive brain stimulation that can improve the limb's motor function by remote modifications in the central motor system. Bilateral Arm training (BAT) involves use of the affected arm which is in association with the unaffected arm that initiate interlimb coupling, which mitigates interhemispheric inhibition and in turn helps improving affected limb function. The current paper presents the protocol for conducting research into the efficacy of Transcranial Direct current stimulation and Bilateral Arm Training on neurological upper limb impairments. A single blind randomized clinical trial will be conducted involving Transcranial Direct current stimulation and Bilateral Arm Training on 20 individuals with neurological upper limb impairments. The group A intervention consists of Bihemispheric stimulation of 1 mA for 20 minutes while group B will receive Bilateral arm training along with convention therapy in both the groups for a total duration of 50 minutes. Participants of the assigned group will receive 10 sessions of treatment over 2 weeks. Outcomes used will be subjective Pre and post-treatment assessments will be done using Wolf Motor Function Test (WMFT) and Fugyl Meyer assessment-upper extremity (FMA-UE).

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 Keywords

tDCS, stroke, bilateral arm training, neurological upper limb impairments

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Creative Commons Attribution 4.0 and The Open Definition

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The village-fringe mangroves of the Sundarbans serve as crucial bio-shields against storms, surges, and erosion. However, long-term unsustainable resource use and hydro-geomorphic changes have degraded these ecosystems. Cyclone Bulbul (9th November 2019), with 119 km/h winds, caused widespread damage. This study analyses its impact on vegetation and canopy gaps across five village-fringe sites in the south-western Sundarbans using Landsat-8 data. Dense canopies were severely degraded, especially in North-Bakkhali and Shikarpur, while Dwarikanagar saw lesser impact but signs of vegetation decline. The findings highlight the urgent need for periodic, site-specific monitoring and sustainable management to restore and protect the ecological health of these vulnerable mangrove zones.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sundarbans, Cyclone Bulbul, mangroves, canopy gap formation, vegetation dynamics, coastal erosion, sustainable management, ecosystem restoration.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Index Terms - Flat plate solar collector, CFD, Ansys Fluent, solar radiation, collector efficiency,

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores the impact of flexible work policies on women's career development in the Indian corporate sector. It investigates how perceived flexibility influences job satisfaction, career progression, promotion likelihood, and workforce retention among women in desk-based roles. Using a structured questionnaire, data was collected from 120 respondents across multiple industries. A quantitative research design was chosen to ensure objective analysis of multiple variables using descriptive and inferential statistics. The study is grounded in the Job Demands-Resources (JD-R) model and Conservation of Resources (COR) theory to examine how flexibility as a resource influences motivation and long-term career investment. Hypothesis testing was conducted using linear regression, independent samples t-test, mediation analysis, chi-square, and logistic regression. The findings suggest that flexible work significantly enhances job satisfaction and perceived career growth, mediated by work-life balance. However, flexibility does not show significant statistical correlation with actual promotions or retention intent. These results suggest that while flexibility is a valuable resource, structural barriers still affect career advancement. The paper provides insights for policy-makers and HR professionals to develop more inclusive workplace policies.

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Flexible work policies, women's career growth, work-life balance, job satisfaction, promotion, retention, JD-R model, COR theory, Indian corporate sector, remote work, hybrid work, gender equity, workplace flexibility, organizational support, career progression.

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Creative Commons Attribution 4.0 and The Open Definition

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The internet has become an integral part of modern life, revolutionizing how individuals communicate, transact, learn, and conduct business. However, this digital transformation has also led to the emergence of serious cyber threats, including hacking, identity theft, phishing scams, cyberbullying, data breaches, and the spread of misinformation. In response to these growing challenges, countries worldwide, including India, have developed comprehensive legal frameworks known as cyberlaws to regulate digital conduct and ensure user safety. This paper explores the critical role of cyberlaws and emphasizes the urgent need for public awareness in the current digital landscape. India's primary legal framework for governing cyberspace is the Information Technology Act, 2000 (IT Act), which defines cyber offenses and prescribes penalties. The paper outlines essential sections under the IT Act that deal with hacking (Sections 43 and 66), identity theft (Sections 66C and 72), phishing and online fraud (Section 66D), cyberstalking and harassment (Sections 66E and 354D), and cyberterrorism (Section 66F). These laws not only criminalize malicious activities but also empower individuals to protect themselves and seek legal remedies. Additionally, provisions like Section 65B of the Indian Evidence Act allow electronic records such as emails and messages to be used as admissible evidence in court, highlighting the growing importance of digital documentation in legal proceedings. The paper further examines the evolution of data protection norms with the introduction of the Digital Personal Data Protection Act, 2023, and the relevance of Sections 43A and 72A of the IT Act, which mandate responsible handling of sensitive personal data. It also discusses the Personal Data Protection Bill, 2019, aiming to establish a Data Protection Authority and extend greater control to users over their digital information. In addition to cybercrimes, the paper explores the significance of Intellectual Property (IP) laws, which protect digital creations such as music, art, software, and designs. Raising awareness about IP rights helps prevent unintentional infringements, fosters innovation, and ensures recognition for creators. The study also focuses on the widespread issue of online financial fraud, including phishing, UPI scams, and fake investment schemes. By highlighting legal recourses and promoting digital literacy, individuals--especially vulnerable groups--can be better equipped to protect their finances. Lastly, the paper addresses social media misuse, a growing concern in the digital age. Cyberbullying, identity theft, misinformation, and online defamation are prevalent on these platforms, necessitating user education and ethical digital behavior.

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Cyberlaws

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the dynamic field of civil engineering, concrete remains an indomitable material choice due to its versatile properties suited for myriad construction applications--from monumental infrastructure projects to intricate architectural designs. The quest for optimizing this ubiquitous resource's performance has led researchers to focus on refining mix design practices and strategically employing admixtures in concrete formulations. This paper delves into the intricacies of modern concrete mix design, with a specific emphasis on evaluating various admixture types available today--including superplasticizers, air-entraining agents, retarding agents, and accelerators. We begin by providing a historical perspective on the evolution of concrete technology, highlighting how advancements in admixture chemistry have revolutionized material performance parameters over time. This backdrop sets the stage for our investigation into contemporary mix design practices where judicious selection of both base materials and strategic additions like admixtures plays a pivotal role in achieving desired outcomes such as workability at placement, strength development post-curing, resistance to environmental degradation factors (e.g., freeze-thaw cycles), and cost efficiency considerations. To elucidate our research objectives clearly, we outline specific questions pertaining to the identification of suitable admixtures based on project requirements--ranging from enhancing workability for complex architectural elements versus prioritizing durability in aggressive environments such as marine or chloride-rich conditions. Our methodology involves a thorough experimental approach wherein different admixture types are tested under controlled laboratory settings against predefined criteria set by design objectives, including both fresh and hardened state properties of the concrete mixes thus generated. Key findings from our study suggest that judicious application of selected admixtures can significantly enhance material performance parameters--demonstrating significant potential for cost-effective solution formulations tailored to specific project needs rather than relying on one-size-fits-all approaches common in traditional mix design practices. Ultimately, this research provides valuable insights into the practical applications and benefits associated with strategic use of admixtures within concrete mix designs globally, thereby contributing towards more informed decision-making processes for engineers involved in material selection and project management within the construction industry.

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 Keywords

Concrete mix design, Admixture chemistry, Superplasticizers, Air entraining agents, Retarding agents, Accelerators, Material optimization

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents the design and implementation of a drone-based system intended for real-time event monitoring, management, and audio surveillance. The system integrates a Pixhawk 6C flight controller, a Wi-Fi camera, and a wireless speaker to deliver aerial video surveillance and real-time public audio announcements. Operated via Mission Planner software, the drone supports manual, semi-autonomous, and autonomous modes of flight. The results demonstrate significant improvements in event safety, communication efficiency, and surveillance effectiveness. The project was successfully executed and completed, showing potential for deployment in academic, public, and emergency response scenarios.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Drone, Pixhawk, Surveillance, Audio Broadcasting, Mission Planner, Event Monitoring, Autonomous System

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Creative Commons Attribution 4.0 and The Open Definition