Journal for ReAttach Therapy and Developmental Diversities (JRTDD)
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"Sustainability And Business Innovation: A Bibliometric Study Of Entrepreneurial Challenges"
Get PDFThe growing emphasis on sustainability in entrepreneurship, often referred to as sustainable entrepreneurship, has captured significant interest from researchers and industry leaders alike. This field explores how entrepreneurial ventures can simultaneously generate economic value while contributing to environmental and social well-being. By addressing global challenges such as climate change, resource scarcity, and social inequality, sustainable entrepreneurship fosters innovation-driven solutions that align business success with societal impact. Start-ups, in particular, play a crucial role in this transition, as their flexibility and innovative mindset enable them to challenge traditional business models and implement sustainability-focused strategies from inception. However, scaling sustainable start-ups presents notable challenges, including limited financial resources, complex supply chain management, and the risk of compromising sustainability goals for profitability. Overcoming these barriers necessitates embedding sustainability into core business operations, fostering strategic partnerships, and leveraging technology for efficiency and customer engagement. Existing research offers valuable insights into strategies that enable start-ups to grow while maintaining their sustainability commitments. This study employs bibliometric analysis to explore the scholarly landscape on sustainability and entrepreneurial challenges, identifying key research trends, knowledge gaps, and emerging themes that shape this evolving field
Bioactive Compounds In Grape Seed Extract: Nutritional Composition And Pharmacological Insights
Get PDFGrape (Vitis vinifera) seed extract is a rich source of bioactive compounds that exhibit numerous health benefits. This study explores the nutritional composition of grape seed extract and its pharmacological properties, emphasizing its antioxidant, anti-inflammatory, antimicrobial, and cardioprotective effects. The presence of polyphenols, flavonoids, and proanthocyanidins contributes significantly to its therapeutic potential. In vitro studies have demonstrated its efficacy in combating oxidative stress, modulating metabolic disorders, and enhancing overall health. This review provides a comprehensive analysis of the bioactive components and their pharmacological implications, supporting the potential of grape seed extract as a natural health supplement.
 
Navigating The VBC Landscape: Optimizing Human And Technological Resources For Better Healthcare
Get PDFValue-Based Care Implementation Issues VBC mandates healthcare businesses abandon FFS resource allocation. Prevention, care coordination, and community health management trump volume. Human and technical VBC installation issues are discussed.
VBC shortages may affect healthcare workers. VBC supports preventative care, chronic illness management, and community health management, which need skills beyond diagnosis and treatment. FFS-trained physicians may struggle with risk categorization, data-driven decision-making, and multi-provider care coordination.
Primary care doctors, nurses, and mental health professionals are few, worsening the competence gap. VBC implementation is hindered by the lack since comprehensive and coordinated therapy needs adequate personnel. Problems with tech VBC usage is limited by EHR fragmentation. EHR incompatibility hinders provider data sharing and care coordination. Information silos in this fragmented environment hinder patient outcomes and treatment continuity.
Data analytics hinder VBC adoption. Data-driven decision-making helps VBC identify high-risk patients, follow results, and assess intervention cost-effectiveness. Strong data analytics assist healthcare organizations understand patient demographics and enhance treatments and budgets.
Many PHM tools hinder VBC setup. Chronic illness treatment, high-risk screening, and outcomes monitoring need these tools. PHM tools and EHR systems are incompatible, making data integration and VBC strategy information flow difficult. Resource Allocation Optimization Ideas To solve these difficulties, VBC implementation requires extensive resource allocation optimization. Few staff and tech. Healthcare firms may teach VBC. Maintain population health, care coordination, data analysis, and value-based compensation. Learning methods include classroom, online, and VBC expert coaching.
Telehealth may fill underrepresented staffing needs. Telehealth experts can treat and prevent chronic diseases. Working together, VBC experts can heal chronic conditions quicker. Physician extenders, nurses, etc. are medically supervised. Physicians may concentrate on difficult patients while team members prevent, treat, and educate them.
VBC adoption requires provider-data-sharing EHRs. For integrated care planning, quality transitions, and population health management, these systems give entire patient data.
VBC models\u27 massive patient data may be used by data-driven healthcare organizations. These strategies identify high-risk individuals for preventive or monitoring. Data analysis examines patient outcomes, intervention cost-effectiveness, and patient group resource allocation.
RPM systems offer rich VBC potential. These devices may help chronically ill people monitor vital signs and health data for early diagnosis and treatment. RPM technology early installation may minimize hospitalizations. 
“From Cities to Hometowns: The Socioeconomic Realities of Return Migration in Karnataka"
Get PDFMigration patterns are often influenced by economic, social and cultural factors, shaping the choices of both migrants and their families. This research is conducted in the 2 Class-IV towns of Dharwad district namely Alnawar and Kundgol and the data is collected through structured interview schedule. Based on Multi-stage random sampling method the sample size is limited to 158. This study examines the perspectives of both migrants and household heads regarding return migration in Karnataka. Findings indicate that 59.41% of household heads preferred male migrants to return hometo manage ancestral property, while 30.69% opposed their return due to limited economic opportunities. In contrast, 75.44% were unwilling for female migrants to return, reinforcing traditional beliefs that married women belong to their husband’s household. In total, 75.95% of migrants were unwilling to return, citing economic limitations, career aspirations, and social commitments. Meanwhile, 12.03% expressed a desire to return, primarily for emotional or property-related reasons, while 8.86% remained undecided, consisting mostly of students or recent migrants. These findings highlight the complex interplay of tradition, economic security and personal aspirations in shaping return migration trends
A Vision of Pansophical Lens in Dave Pelzer’s Help Yourself
Get PDFThis paper explores how Dave Pelzer\u27s universal wisdom is attained through the nurturing of his inner fortitude. Two fundamental concepts, Hope and Hate, significantly influence human existence by shaping the decision-making process and guiding individuals in their choices. Individuals may recognize that there is no inherent flaw in enduring hardships; as such experiences facilitate the identification of one\u27s interior self through a comprehensive perspective. Understanding the inner self and erecting courage and faith incentivize people to break the obstacles and be able to confront any challenges. Dave Pelzer is an inspiration to all the folks who endeavor to improve themselves. His traumatic experiences during infancy catalyze his resilience, enabling him to persevere and emerge as a source of inspiration for others. His unwavering conviction and capacity for forgiveness constitute the core of his achievements. He courageously confronted the repercussions and cultivated his inner fortitude. This Self-Help book highlighted many legendaries who rose from coercion and became a source of inspiration to all the budding people
Overseas Direct Investment - A Study Of Stakeholder Perception In India
Get PDFThis study examines Overseas Direct Investment (ODI) from India, focusing on stakeholder awareness, investment determinants, risk perception, and government support. Utilizing John Dunning’s Eclectic Paradigm and other internationalization theories, the research explores the impact of macroeconomic variables such as exchange rate, interest rates, GDP, and trade on ODI from India. A structured survey of 400 respondents, including bankers, corporate professionals, and academicians, reveals that ODI awareness is high, with equity investment being the preferred mode. The United States and Europe emerge as the most favored destinations, while agriculture, mining, and IT-enabled services lead sectoral preferences. The findings indicate that international trade relationships significantly drive ODI decisions, surpassing macroeconomic factors like exchange rates and GDP. However, a perception of high risk and insufficient government support persists among stakeholders. Statistical analysis, including reliability tests and regression models, highlight the moderate explanatory power of macroeconomic variables, suggesting the need for further investigation into firm-level and geopolitical factors. The study emphasizes policy recommendations such as streamlining regulatory frameworks, enhancing government support, and fostering a conducive environment for Indian firms to expand globally. Future research can explore sector-specific ODI trends and qualitative determinants influencing investment decisions
Evaluation Of Intra-Operative Pain, Time of Onset and Duration of Action Using 2% Lignocaine With 0.5 ml Dexmedetomidine (50 Micrograms) Versus 2% Lignocaine With 1:80,000 Adrenaline in Extraction of Mandibular Molars: A Comparative Clinical In Vivo Study
Get PDFAim: The Aim of this study was to compare the efficacy of lignocaine and dexmedetomidine vs lignocaine and adrenaline for mandibular anaesthesia in patients who are planned for mandibular molar extraction. A number of factors were examined, such as the length and onset of analgesia, the need for postoperative analgesics.
Materials And Methods: The study involves 34 individuals requiring mandibular molar extractions, selected based on inclusion and exclusion criteria. Adhering to the Helsinki Ethical Principles, patients will be informed about the procedure, study goals, benefits, and risks. Written informed consent will be obtained. A complete case history will be collected, and a treatment plan developed after evaluation and diagnosis. Patients are divided into two groups. One group receives 2 ml of 2% Lignocaine with 0.5 ml dexmedetomidine (50 µg), and the other receives 2 ml of 2% Lignocaine with 1:80,000 adrenaline. A coin toss determines the allocation: heads for dexmedetomidine and tails for adrenaline. The onset and duration of anaesthesia are recorded using stopwatch, and extractions are performed aseptically. Pain during the procedure is assessed using a 0–10 VAS.
Conclusion: In terms of analgesia and duration of action, this study shows that Lignocaine with Dexmedetomidine is superior to Lignocaine with Adrenaline, except for the time of onset, when Lignocaine with Adrenaline is preferred
AI-Driven Fraud Detection in Homeowners and Renters Insurance Claims
Get PDFHomeowners and renters insurance claims are numerous and variable. Insurance carriers have every intention to pay legitimate claims, yet HRI insurance claims present unique challenges because the insured\u27s loss is often due to a perils insured against. It is precisely this unpredictability associated with perils insured against that creates the greatest opportunity for fraud. The urgency to relieve the insured of his or her distress generally short-circuits the process of investigation. Moreover, the norm within the industry is to settle first and investigate later. This environment creates a breeding ground for both opportunistic and organized fraud. A substantial portion of the claims activity in the HRI space represents organized fraud perpetrated by groups who, based on their prior experiences, believe they can navigate around the later-in-the-process investigation hurdles without consequence. If these fraudsters can bypass the case management system and the carrier\u27s investigative staff, then in the months and years ahead, they will refile and settle again and again and again, with impunity.
Internet search activity data provides unique insight into fraud risk. Search activity is a leading indicator of demand for many types of goods and services. Furthermore, the Internet search process is relatively frictionless. Estimates suggest that over 200 billion searches are conducted each year using major search engines; this number is rapidly growing. Consequently, the problem addressed in this paper is to develop a case management and decision support system that leverages existing online activity data to help insurance carriers identify potentially fraudulent HRI claims before settlement. As a response to the market need, the developed system provides a near real-time predictive infrastructure that allows for complementary offline predictive analytics and online predictive queries driven by state-of-the-art prediction models and predictive queries. Additionally, the proposed case management infrastructure allows for the development of both generic and customized backend and frontend case management modules that support claims processing across carriers
Energy Consumption Optimization in Smart Factories Using AI-Based Analytics: Evidence from Automotive Plants
Get PDFThis chapter presents a review of the application of Artificial Intelligence-based Analytics in industry, followed by a discussion of the ongoing smart factory concepts in energy optimization, where AI is based on reinforcement learning and fed by smart metering data. Data from a use-case in a smart factory setting with a PV power generating facility is discussed, considering both shopfloor consumption and the microgrid. A conceptual setting for the use case with simulation support is shown. The optimization goals can vary and all contribute to reducing carbon footprints. Next, critical factors of acceptance in the production environment, and the type of community operations are discussed and final thoughts are given about future work.
At present, the industry is also driven by policies to reduce energy consumption below additionally pre-set limits. The special production structure of frequently small quantities in a shopfloor community linked to a microgrid cannot meet these requirements without assistance. Support is necessary to periodically adapt production plans triggered by e-mobility or e-housekeeping operations and regulations. As a result, time slots in production become concrete where energy optimizations or energy consumption optimizations must be implemented. The contribution discusses the impact of utilizing Artificial Intelligence, from smart meter data implemented in a reinforcement learning structure to find eco time slots. This contribution is based on the given conditions of a use-case situated in a smart factory for the boundaries of a microgrid with Photo Voltaic storage and connection to the DSO. Data structures from the smart metering implementation will be shown and supported with simulation. The discussion further focuses on acceptance prerequisites about community production resources, shifted eco time slots, etc. The goal of the contribution is to outline potential added values in the shopfloor community, aligned with bottom-up factors
Next-Gen Banking Infrastructure: Designing AI-Native IT Architectures for Financial Institutions
Get PDFThe rapid advancement of artificial intelligence (AI) is fundamentally transforming the financial services industry. As traditional banking infrastructures struggle to keep pace with the demands of real-time analytics, personalized services, and enhanced security, there is a pressing need to design AI-native IT architectures that are scalable, resilient, and agile. This paper explores the core principles and design considerations for next-generation banking infrastructures that are purpose-built for AI integration. It addresses key components such as data architecture, cloud-native platforms, AI-driven automation, cybersecurity frameworks, and compliance mechanisms. Through analysis of case studies and emerging technologies, the paper outlines strategic pathways for financial institutions to modernize their IT ecosystems, reduce operational costs, and foster innovation while maintaining regulatory compliance and customer trust. The goal is to provide a blueprint for banks and fintechs to harness the full potential of AI in delivering intelligent, adaptive, and customer-centric financial services