Empowering Safe Online Spaces: AI in Gender Violence Detection and Prevention

Gender-based online violence (GBOV) is a pervasive issue that disproportionately impacts women and marginalized genders, leading to psychological distress, economic consequences, and restricted participation in digital spaces. This article examines how Artificial Intelligence (AI) offers innovative solutions to detect and mitigate GBOV through tools such as sentiment analysis, hate speech detection, image recognition, and behavioral analysis. AI-powered interventions have significantly enhanced the ability to identify harmful content, automate moderation, and empower victims by providing real-time safeguards. Despite these advancements, challenges such as algorithmic bias, privacy concerns, and the evolving tactics of online abuse remain critical obstacles. This study highlights the importance of developing ethical AI systems, fostering multi-stakeholder collaboration, and implementing robust regulatory frameworks to create safer, more equitable online environments for all

Methods for the Development of Cationic Nanocapsules for the Topical Administration of Tretinoin: A Box-Behnken Approach, In Vitro Assessment, and Ex Vivo Epidermal Deposition Research

An exciting new direction in topical administration is the use of cationic nanocapsules. To improve the photostability, user compliance, and pharmacodynamic effectiveness of tretinoin (TTN), we built on a new formulation that relies on cationic nanocapsules. The nanoprecipitation process was used to create TTN nanocapsules in order to accomplish this. A Box-Behnken design was used with the help of Design-Expert software to statistically optimize the formulation variables. The cationic acrylic polymer weight (X1), oil volume (X2), and total transdermal N-terminal thickness (X3) were the three independent variables that were examined. As for the dependent variables, we chose particle size and encapsulation efficiency percentage (EE%)

Enhancing Oracle Cloud HR Reporting Through AI-Driven Automation

The purpose of this study is to focus on AI, including ChatGPT, that is being used in Oracle Cloud HR reportingsystems. The system takes care of report generation and supports easier access for users to make critical HR decisions.The research points out the present imperfections of the system, the positive side of using conversational AI, and themajor difficulties in adopting it. It seems AI adoption enhances the HR reporting functions by increasing efficiency,better experiences, and quicker reactions in the cloud

Exploring the Convergence of Virtual and Physical Shopping Experiences in the Metaverse and Omnichannel Retail Through AI and Immersive Technologies

The integration of augmented reality, virtual reality, and virtual environment in retail sites. It looks intohow virtual and augmented reality and along with the aids, intervention, and integration of AI, in analyzed to determinehow they increase consumers’ engagement and satisfaction as well as the efficiency of operations. The researchfocuses on the emerging trends, issues, and prospects of deploying such technologies in retail. About current trendsand future development, it discusses ways in which the Metaverse might be useful for the realization of new, effectiveretail strategies

Study on the Effect of Herbal Fumigation in Leaf mealybug and Overall Plant Growth

Empowering eco-friendly agricultural methods is a global necessity for sustainable living. The longterm consequences of excessive dependence on chemical pesticides pose significant, multifaceted risks to both environmental and human health. In light of these drawbacks, there is a growing international push towards integrated pest management and safer alternatives. This study presents an opportunity to explore the potential of herbal fumes in pest control as a viable substitute for chemical pesticides. The findings indicate that herbal fumigation is an effective measure against leaf mealybug infestations and significantly reduces their spread to neighboring plants. Additionally, the associated study on Green gram plant (Vigna radiata) and Tomato plant (Solanum lycopersicum) subjected to controlled herbal fumigation demonstrates enhanced growth in smoke-exposed specimens compared to non-exposed plants

Cognitive AI for Wildfire Management in Southern California: Challenges and Potentials.

The understanding of complex atmospheric phenomena to forecast wildfires with high accuracy has beendramatically transformed with the introduction of cognitive artificial Intelligence. Incorporating state of theart machine learning tools, including deep learning, Bayesian analysis along with decision trees, neuralnetworks, nearly all information from satellites and data collected in the past has been put into thesesystems. These systems permit cognitive AI to provide unparalleled forecasting that is granular and temporalaccurate thanks to its pattern recognition and real time variable adjustments capabilities.Research case studies covering the 2018 Camp Fire, the Bobcat Fire in 2020, and the Dixie Fire of 2021,have all supported AI's ability to predict and prevent the loss of property and lives. Many crucial strategiesincluding evacuation planning, resource deployment, and long-term wildfire prevention strategies inSouthern California have improved cognitive AI implementation. However, the remaining challenges are dataquality and availability issues, integration with existing management systems, and ethical considerationssurrounding of AI decision-making. This research focuses on fire behaviour simulations, increasing datafusion techniques, and. adaptive learning models. Integration of cognitive AI model with evolving technologieslike drones, IoT sensors, and edge computing holds a magnificent potentials for creating a more efficient andresponsive wildfire management ecosystem. Unsurprisingly, problems with AI technology remain, such asthe need for system integration, data inconsistencies, and ethical issues that AI decisions bring. AI decisionspose a mix of issues that are deeply analytical and calculative

A COMPREHENSIVE REVIEW OF VIBRATION RECORDERS FOR SUSPENSION TUNING TECHNIQUES, APPLICATIONS, AND RESEARCH GAPS FOR A SMOOTHER DRIVE

This paper gives a comprehensive review of the numerous technologies of vibration recordingwhich are used for suspension systems tuning of vehicles for ride quality, comfort, and stability.Since road conditions, vehicle dynamics, and load conditions have a direct influence onsuspension performance, correct measurement and analysis of vibrations are very crucial foroptimum settings of suspension. This includes many methods for recording vibratory motion,including accelerometer-based systems, laser vibrometer, strain gauges, gyroscopic sensors,inertial measurement units (IMUs), displacement sensors, and acoustic sensors. Everytechnique is studied in terms of its working principles, advantages, limitations, and practicaluse applications in suspension adjustmen

Use of human hepatocytes from the second generation of the upcyte® brand in investigations of CYP inhibition and induction

Histologic features shared by primary human hepatocytes are maintained by proliferating hepatocytes from the human upcyte® line. The use of four donors' second-generation upcyte® hepatocytes in inhibition and induction tests with a variety of reference inhibitors and inducers was thoroughly evaluated. Reproducible inhibition of CYP1A2, CYP2B6, CYP2C9, and CYP3A4 occurred at concentrations ranging from very low to very high, and the IC50 values computed for each chemical accurately designated them as powerful inhibitors

Metals, Polymers, and the Future of Manufacturing: An Interdisciplinary Roadmap for Industrial Engineers

The convergence of Industrial Engineering (IE) and Materials Science (MS) has emerged as acritical interdisciplinary framework for addressing contemporary manufacturing challenges,particularly in achieving sustainability and technological advancement. This review examinesthe evolving role of IE in navigating the demands of globalization, energy efficiency, andenvironmental stewardship through the lens of material innovation. By analyzing trends suchas Industry 4.0 and 5.0, additive manufacturing, and sustainable polymers, the studyhighlights how advancements in MS—such as nanotechnology, biodegradable materials, andmetal recycling—are reshaping industrial processes. The integration of human-centric design,energy-efficient systems, and circular economy principles underscores the necessity forcollaboration between academia and industry to drive scalable, eco-conscious manufacturingsolutions. The findings emphasize that the synergy between IE and MS is indispensable forfostering resilient, adaptive, and sustainable industrial ecosystems

Contractual Agreement Aspect of Third-party Risk Management in Information Security

Third-party risks are those faced by an organization when incorporating external entities intotheir ecosystem, infrastructure, or supply chains. These external parties may take the form ofvendors, suppliers, partners, contractors, or service providers, all of whom are granted access tointernal data concerning systems, processes, intellectual property, customer information, orinternal communication. Organizations are reliant on outsourcing, subcontracting, and offshoringto support their business, this has amplified the need for effective Third-Party Risk Management(TPRM) frameworks. Although these practices offer operational efficiency, they introduceinherent risks, necessitating a careful approach to information security (IS). This article exploresthe pivotal role of contractual agreements in TPRM, addressing key questions about contractdeficiencies, adaptability to evolving risks, regulatory impacts, and strategies for incentivizingthird-party risk management. Thorough due diligence, collaborative approaches, andsupplementary risk management strategies have been emphasized in the existing literature. Theconceptual framework underscores the detrimental impact of weak contracts, advocatingdynamic risk assessments, adaptable security standards, and communication and collaborationchannels. Addressing variations in laws and regulations is crucial and requires a clear contractualprovisions and language. The study concludes by providing insights into incentivizing thirdparties to adapt risk management practices and off-the-shelf tools and services handling, therebycontributing a comprehensive guide for organizations to manage third-party relationships in thedomain of information security