The integration of Artificial Intelligence (AI) as well as Machine Learning (ML) has significance role in digital forensics and offer an exciting opportunity and further it keep alive streamline tasks like pattern recognition, anomaly detection, and predictive analysis. Though, the opaque nature has some of the crucial questions regarding accountability and transparency. Research Focus in these areas are urgent in building of trust and efficacy in forensic analysis.

This paper examines conventional statistical methods in differential personality diagnostics and presents an alternative approach to capture intra-individual intercorrelations. Traditional techniques, including Pearson correlation coefficients and z-scores, standardize individual deviations using group-level data but often fail to reflect subtle interactions among personality facets. This omission can result in incomplete diagnostic profiles, potentially overlooking clinically significant patterns. We describe the mathematical underpinnings of these methods and introduce a procedure that computes the product of z-scores as a proxy for intra-individual covariance. Although this approach offers enhanced insight into individual personality structures, it is not without limitations and does not represent a definitive solution. Implications for clinical practice, epistemology, and future research in precision psychology are discussed to support

more robust diagnostic evaluations. Overall, the study clearly highlights the pressing need to combine refined statistical methods with clinical insight for a more accurate understanding of personality, paving the way for further research.

Digital healthcare signifies a groundbreaking shift in the way we access and manage medical services. This exciting new phase marries healthcare with state-of-the-art digital technologies, creating a vibrant era of patient-centered, data-driven care. Imagine a world where mobile health apps, telemedicine,electronic health records (EHRs), artificial intelligence (AI), machine learning (ML), cloud computing,

and the Internet of Medical Things (IoMT) come together to redefine our health jOurneys. At its core, precision healthcare thrives on the synergy of varied biological and clinical data. The power behind this movement is fueled by key advancements like genomic sequencing, molecular imaging, electronic health records (EHRs), and artificial intelligence (AI) algorithms. Healthcare 5.0 adopts a comprehensive view of health, recognizing the crucial connections between mental, physical, and emotional wellness. With

the help of wearable sensors tracking vital signs and virtual health coaches guiding personal wellness journeys, patients enjoy continuous support tailored to their specific lifestyles and needs. This Paper is about Digital Healthcare systems and specially focused on applications of ICT in healthcare domain, paper highlighted some of the emerging aspects viz. AI based Healthcare, Precision Healthcare, Healthcare 5.0, Virtual Health Assistant, and so on.

Acupuncture and moxibustion are currently in the spotlight as a new medical treatment in Europe and the United States and around the world. Data shows that one in ten doctors in Germany uses acupuncture in their treatments, and in Japan, acupuncture is also used to treat symptoms such as back pain and knee pain. In the United States, the National Institutes of Health (NIH) issued a statement in 1997 partially acknowledging the effectiveness of acupuncture treatment, and clinical trials have begun to be conducted at great expense. Even now, research on acupuncture and moxibustion is continuing at Harvard Medical School, a world-renowned university, and many studies are being conducted to scientifically prove the effectiveness of acupuncture and moxibustion treatment. Acupuncture and moxibustion is a medical treatment with a long history, having originated in China and then spread to Japan via the Korean Peninsula. The reasons why acupuncture and moxibustion medicine has been accepted throughout such a long history include its immediate effect and simplicity, but the biggest factor is the idea that the mind and body are inseparable. In modern society, where mental disorders caused by stress are considered to have a negative effect on the body, the demand for acupuncture and moxibustion, which improves both physical and mental health through minor stimulation of the surface of the body, is expected to continue to increase. In addition to modern medicine, a new style of medicine that actively introduces various treatments collectively known as “alternative medicine” (aromatherapy, supplements, traditional medicine, etc.) is called “integrative

medicine.” In Europe and the United States, the number of medical institutions practicing this type of medicine is increasing, and the global integrative medicine market is expected to reach 33.3 billion dollars by 2025. In Japan, too, there is a tendency for an increasing number of medical institutions to use acupuncture

The port and shipping industry is witnessing an exciting revolution, propelled by swift technological advancements and a pressing demand for improved operational efficiency, sustainability, and digitalization. Serving as vital links in the global supply chain, ports are essential for smooth operations, and any inefficiencies can lead to costly delays and environmental challenges. Traditional management methods that lean heavily on manual processes and standard logistics are increasingly falling short in tackling contemporary issues like port congestion, carbon emissions, cybersecurity threats, and changing trade dynamics. In response, ports and shipping companies are embracing innovative technologies such as Artificial Intelligence (AI), Blockchain, the Internet of Things (IoT), smart automation, and eco-friendly shipping solutions. This study sets out to explore how these technological innovations enhance efficiency, minimize environmental impact, and spearhead digital transformation within port and shipping management.

Employing a dynamic mixed-method approach, we gather primary data through surveys and interviews with critical stakeholders, including port authorities, shipping companies, and policymakers. We also analyze secondary data sourced from industry reports, academic journals, and case studies. To efficiently assess the impact of these innovations, we apply various statistical techniques, including descriptive statistics, correlation analysis, Structural Equation Modeling (SEM), and SWOT analysis. The findings reveal

that AI-driven predictive analytics markedly boost port efficiency, Blockchain fosters transparency and enhances cybersecurity, while IoT-driven automation significantly streamlines cargo handling processes. Furthermore, green shipping technologies, such as LNG-powered vessels and shore power systems, play a crucial role in reducing emissions. However, hurdles like high implementation costs, regulatory challenges, and cybersecurity threats continue to pose significant obstacles. This study advocates for collaborative

initiatives among governments,

Inevitability is quite ahead for almost all sectors of industries to adopt digital marketing strategies for a good number of benefits in comparison with traditional practices of so called Marketers. Though an assumption is recollected that hospital industry does not need promotions, the competition among corporate and middle range hospitals has been strong and the complete information about all the facilities and services of hospitals are decided to be reached to the targeted audience. Scintillating digital platforms explored with dexterous technical tools are found to be quite quintessential to promote hospital products and services.

This research aimed at assessing the digital marketing factors’ influence on the sustainability of hospital industry in Srikakulam District at the standpoint of promotion mix strategical choice. The method mix associated with descriptive design, qualitative and Quantitative approach, convenient sampling techniques, cross-sectional survey type and analysis with EFA and multiple regression was carried out. The relationship between the factors and sustainability was established through finding and further interpretation backed

up with management implications was explored in this paper

Now-a-days New technologies support all aspects of HRM, including selection and recruitment, learning and development, compensation, and performance management. Electronic Human Resource Management, processes and transmits digitized HR information. E-HRM is the application of IT for HR practices that enable easy interactions between employees and employers. HR facilitates self-service technologies for employees and managers (ESS/MSS), making it easier for organizations to enable remote learning regardless of distance (Johnson et al. 2016) observes that it facilitates better business outcomes “by enhancing existing non-digital capabilities and enabling new digital capabilities to create and capture value.

This research article examines the impact of the Financial Sustainability and Information Disclosure Index (FSIDI) on firms’ Environmental, Social, and Governance (ESG) performance dimensions. By analysing the relationship between financial transparency and ESG outcomes, the study seeks to determine how disclosure practices influence corporate sustainability strategies. The study uses panel data from NSE-listed companies over the period 2016 to 2023. It employs Fixed Effects (FE) and Random Effects (RE) models, along with heteroskedasticity tests and the Hausman test to select the appropriate model specification for analysing the data. The results indicate a significant positive effect of FSIDI on Environmental and Social Performance, suggesting that financial transparency plays a vital role in enhancing these areas. However, FSIDI’s influence on Governance Performance and overall Sustainability Performance is statistically in significant. The findings offer practical insights for corporate managers, emphasizing the importance of improving financial disclosure practices to enhance Environmental and Social Performance. However, firms should consider other governance factors to boost overall sustainability efforts. Future research is

encouraged to explore additional contextual variables and alternative approaches to better understand the relationship between financial transparency and ESG dimensions. This research offers a novel contribution by examining the impact of the Financial Sustainability and Information Disclosure Index (FSIDI) on distinct Environmental, Social, and Governance (ESG) dimensions. Unlike previous studies, it employs a robust methodological framework with both Fixed Effects (FE) and Random Effects (RE) models, to ensure reliable results.