Volume 13 | Issue 12 |

 Abstract

Fog and mist lower visibility and raise the risk of road crashes. India recorded more than 34,000 such crashes in 2022. AVPM provides a low-cost and light-independent method to estimate visibility. The system measures how fog weakens an ultrasonic signal. It records amplitude, humidity, and temperature. It feeds this data into machine learning models. These models predict visibility in meters and assign a hazard level through a Fog Hazard Index. The study covers the sensor design, the data collection plan, the model tests, and the index rules. Past research shows that sound loss in fog can be measured. AVPM builds on this finding and offers a path for field use in regions that face dense winter fog.

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 Keywords

Ultrasonic Attenuation, Fog Detection, Visibility Estimation, Machine Learning, Road Safety, Acoustic Sensing, Fog Hazard Index

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Abstract Background: Artificial intelligence (AI) is increasingly used in dentistry, particularly for diagnosing oral mucosal lesions, yet awareness among dental professionals remains variable. Objective: To assess awareness and perceptions of AI in the diagnosis of oral mucosal lesions among dental practitioners. Methods: A descriptive, questionnaire-based cross-sectional survey was conducted among dental professionals using a pre-validated Google Forms questionnaire. Demographic details and awareness-related responses were collected. Ethical approval was obtained, and participation was voluntary. Data were compiled in Microsoft Excel and analyzed using descriptive statistics (frequencies and percentages). Results: Most participants demonstrated moderate awareness of AI applications in oral diagnosis, with notable variability in understanding specific functions, benefits, and limitations. While the majority recognized AI's potential to enhance diagnostic accuracy, concerns regarding reliability and dependence persisted. Conclusion: Dental professionals display positive yet cautious attitudes toward AI. Targetededucational interventions are needed to improve knowledge, confidence, and integration of AI-based diagnostic tools into clinical practice.

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Keywords: Artificial intelligence, Oral mucosal lesions, Deep learning, Early diagnosis, Digital pathology

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Creative Commons Attribution 4.0 and The Open Definition

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In today's business world, integrating different organizational functions is crucial for lasting success. Among these functions, marketing and human resource management (HRM) are key to shaping a company's culture, attracting talented individuals, and promoting a positive employer brand. Marketing strategies, such as advertising, public relations, and social media campaigns, play a significant role in how an organization is viewed by its employees. Consistent messaging that reflects the company's values and culture helps build a positive employer brand. When HRM aligns its practices with marketing messages, it creates an environment where employees take pride in being part of the organization. This paper explores the relationship between marketing and HRM, emphasizing the role of marketing in shaping HR strategies and practices.

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Creative Commons Attribution 4.0 and The Open Definition

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KEYWORDS: marketing, human resources management, advertising, public relations, social media.

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Creative Commons Attribution 4.0 and The Open Definition

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Customer engagement has emerged as a central element in shaping how consumers perceive brands and make purchase-related decisions. It includes a wide spectrum of interactions--ranging from social media activity and advertisement exposure to product experience and customer service encounters. This study investigates the extent to which varying levels of engagement (low, medium, and high) influence purchase behaviour. The findings reveal that although engagement strengthens brand familiarity, emotional connection, and trust, its direct association with purchase likelihood is statistically insignificant. The study highlights that while highly engaged customers demonstrate stronger relationship-oriented behaviours, low-engagement users sometimes show comparable or even higher purchase tendencies based on situational factors. Additionally, challenges such as information overload, inconsistent communication, and message fatigue affect engagement outcomes.

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 Keywords

customer engagement; purchase behaviour; brand familiarity; emotional connection; trust; engagement levels; consumer decision-making; relationship marketing; information overload; message fatigue; communication consistency; situational purchase factors; digital interactions; customer experience

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Geriatric patients experience significant age-associated changes in bone physiology, including reduced mineral density, alveolar ridge resorption, cortical thinning, and alterations in collagen and trabecular architecture, which compromise skeletal strength and oral support for prostheses. Systemic conditions such as osteoporosis, diabetes, and long-term medication use, along with local oral factors like thinning mucosa and decreased salivary flow, further affect prosthetic stability and healing. Maxillary and mandibular bone resorption follows distinct patterns, reducing retention and support for removable and fixed prostheses, while systemic and iatrogenic influences exacerbate ridge loss. Effective prosthodontic management requires a multidisciplinary, individualized approach integrating preventive strategies, conventional and modified prostheses, surgical interventions, and implant-supported solutions. Innovations in digital dentistry, advanced biomaterials, and regenerative therapies offer promising avenues for restoring bone volume, optimizing prosthetic outcomes, and improving function, comfort, and quality of life.

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Creative Commons Attribution 4.0 and The Open Definition

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Geriatric prosthodontics; Bone resorption; Alveolar ridge; Implant rehabilitation; Age-related Bone aging; Collagen.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Election, Strategy, Decision Making

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Creative Commons Attribution 4.0 and The Open Definition

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Log analysis is a critical process in IT operations, often requiring significant time and technical expertise. Traditional methods are manual, slow, and prone to errors during incident resolution. This project presents GenAI LogAnalyzer, an AI-powered system that automates log analysis using Large Language Models (LLMs). The tool leverages semantic search and natural language processing to identify anomalies, trace prompt flows, and assist in root cause analysis. It integrates with frameworks like LangChain and platforms such as ServiceNow to streamline incident handling. Logs are converted into structured insights using vector embeddings and LLM-based summarization. Featuring a user-friendly interface, the system enhances scalability, reduces operational overhead, and accelerates IT support workflows with intelligent, automated analysis.

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Generative AI, Large Language Models, Log Analysis, Anomaly Detection, Semantic Search, Root Cause Analysis, Natural Language Processing, Vector Embedding, LangChain, ServiceNow Integration, IT Operations, Incident Management, Automated Troubleshooting, Scalable Support Systems, AI-Powered Interfaces.

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Abstract The Loktak Lake Protection Act, 2006, is an act to provide for the administration, control, protection, improvement, conservation, and development of the natural environment of the Loktak Lake. The Act has divided 236.21sq.km Loktak Lake is divided into two zones: the core zone, which is a totally protected area of 70.30 sq. km, and the Buffer zone, comprising the remaining area of the lake excluding the core zone. The enforcement of the act has had a profoundly adverse impact on the lives of the Loi fishing community, significantly deteriorating their socio-economic conditions. The act has criminalized the local inhabitants in their own homes. In the name of the protection, preservation, and conservation of the lake, the Act has snatched the rights to life of the Loi fishing community, violating the rights of the indigenous people provided under the UN Convention on the Rights of the Indigenous Peoples and the Constitution of India. The administration, conservation, and development of the natural environment of the Loktak Lake need to be consulted and go hand in hand with the indigenous people of the Lake. We can't simply compromise the rights to life of the people in order to preserve the Lake. Both the natural conditions of the Loktak Lake and the rights to life of the Loi fishing community need to be respected.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Loktak Lake, Protection, Conservation, Indigenous rights, UN Convention

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Spectrum scarcity poses a critical challenge to the growing demand for wireless services. Cognitive Radio Networks (CRNs) address this issue by enabling secondary users (SUs) to opportunistically access licensed spectrum bands when they are unoccupied, without interfering with primary users (PUs). Through key functions such as spectrum sensing, analysis, mobility, and sharing, CRNs dynamically reconfigure network parameters to adapt to environmental conditions. Cooperative Spectrum Sensing (CSS), where multiple SUs share sensing information, improves detection reliability by mitigating the effects of fading and shadowing. However, the open and reconfigurable nature of CRNs makes them highly vulnerable to security threats, particularly Spectrum Sensing Data Falsification (SSDF) attacks, where malicious users (MUs) manipulate sensing results to gain unfair access or disrupt spectrum availability. Existing security mechanisms often fail to provide adequate robustness while maintaining low computational complexity, limiting their suitability for resource-constrained environments.

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Cognitive Radio Networks (CRN); Spectrum Sensing; Cooperative Spectrum Sensing (CSS); Spectrum Sensing Data Falsification (SSDF); Malicious Users (MU); Trust Management; Multifactor Trust; SETM Algorithm; Security; Complexity Analysis

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Creative Commons Attribution 4.0 and The Open Definition

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Background: Remedy selection in homoeopathy depends on the totality of symptoms and practitioner expertise; however, systematic evaluation of prescribing patterns is limited. Objective: To identify the predominant methods of remedy selection and analyse their association with clinical outcomes in routine homoeopathic practice. Methods: A prospective observational study of 120 patients was conducted in an outpatient clinical setting. Data collected included case totality, remedy selection method, potency, and follow-up outcomes using a four-point improvement scale. Results: Constitutional prescribing accounted for 42% of prescriptions, repertorial analysis for 37%, and keynote prescribing for 21%. Remedies most frequently used included Sulphur, Calcarea carbonica, Nux vomica, and Arsenicum album. Clinical improvement was highest in cases treated with constitutional prescriptions. Conclusion: Individualised prescribing based on complete totality--especially incorporating mental gene Title Patterns of Remedy Selection and Clinical Response in Homoeopathic Practice: An Observational Study ________________________________________

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Homoeopathy, Remedy selection, Repertorization, Clinical outcomes, Observational study

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Creative Commons Attribution 4.0 and The Open Definition