Scientific Research Publishing (SCIRP)

1. Introduction Economic growth is often unbalanced, occurring in sectors differentially, and de-pendent on sector specific technology such as agricultural technology or in more recent times, artificial intelligence (AI) and information technology (IT). Less recognized, but important empirically and theoretically, is household technology for non-market productivity. The needed changes for diffusion can operate through both occupational or industrial composition.

1. Introduction This paper is a continuation of our investigation into group dynamics (Fernandez-Rivas et al., 2020; Trojaola Zapirain et al., 2019; Trojaola Zapirain et al., 2014, 2015, 2016). In our previous work, we explained the rationale and assumptions of our research; therefore, we will provide only a brief reminder here. Our aim is to evaluate the presence and evolution of common behavior among participants in three groups following training in Dialectical Behavior Therapy (DBT).

1. Introduction Prostate-specific antigen (PSA) is one of the most widely used biomarkers for monitoring prostate health and assessing the progression of prostate cancer. Longitudinal PSA measurements are routinely collected in clinical practice, providing time series data that reflect underlying biological processes.

1. Introduction Aging is a complex, multifactorial process affecting the skin but also the architecture (the skeleton) and the subcutaneous tissues (fat, muscles, tendons) [1] [2]. The neck is one of the areas most affected by aging. It is considered as a region where the skin will age most rapidly. This area, which is highly exposed to the sunlight, is particularly fragile [3] [4].

1. Introduction Artificial intelligence (AI) is rapidly reshaping modern healthcare. Advances in machine learning, deep neural networks, and large language models have enabled AI systems to analyse large volumes of clinical data and support tasks traditionally performed by clinicians, including diagnostic interpretation, predictive risk modelling, medical imaging analysis, and clinical decision support [1]-[3].

1. Introduction Marine microbial communities are fundamental drivers of global biogeochemical cycles, mediating the transformation and movement of carbon, nitrogen, sulfur, and other essential elements throughout the oceans. Among these communities, the SAR11 clade of Alphaproteobacteria represents one of the most successful and abundant groups of microorganisms on Earth.

1. Introduction In today’s data-driven financial environment, credit risk management has become a fundamental concern for banking institutions worldwide, as it directly affects financial stability, profitability, and overall risk control (Chen & Guestrin, 2016). In the context of commercial banking, credit risk prediction is not only a technical problem but also a major business challenge.

Dominant hydrogeochemical process: In both the pre-monsoon (49.86% of variance) and post-monsoon (52.46%) datasets, the first and most important factor is consistently a hardness-mineralization factor dominated by Ca, Mg, Cl, SO4, EC, TH and TDS, confirming rock-water interaction within the Peninsular Gneissic Complex as the fundamental control on groundwater chemistry, irrespective of season.

1. Introduction Police-reported crash data are essential for improving transportation safety through engineering, planning, policy development, informing education and outreach, and research. These activities rely on complete, accurate, and reliable crash data to provide essential information. The integrity of these data significantly influences the ability to diagnose safety issues, formulate policies, and implement interventions to reduce road traffic crashes and fatalities.

1. Introduction The mining sector is set to reach a market value of USD 3.36 trillion by the end of 2026, primarily driven by rising demand for critical minerals such as lithium, cobalt, copper, and REEs, which are essential to advancing green energy [1]. The growth of the mining industry is enabled by the intensive use of heavy capital equipment such as excavators, haul trucks, loaders, draglines, grinding mills, agitators, conveyors, and vibrating screens in the mining and extraction process.