Recently, deep learning density networks have become the standard baselines for financial time-series forecasting. In this paper, we introduce density networks structured using the two-stage volatilit...
Under the ETCBC encoding system, morphological parsing is a rigorous recon- struction of internal word structures rather than a simple tagging task. While contemporary NLP paradigms emphasize performa...
Objective: This study aimed to develop and evaluate a multi-stage optimisation strategy based on the thirst management model to alleviate perioperative thirst and dry mouth symptoms in patients with g...
This paper addresses a significant gap in the targeting process for fault-controlled geothermal systems by introducing a novel rule-based expert system called the ZEYBEK-2 Model. The model uses explic...
Meaningful public engagement is central to transportation planning, yet agencies face challenges in synthesizing large volumes of unstructured comments from hearings, news media, and social platforms....
Coconut coir rope has emerged as a promising sustainable reinforcement for cementitious composites; however, its durability under aggressive chemical environments remains a critical concern. This stud...
This research investigates the transformative role of Artificial Intelligence (AI) micro-credentials in higher education through a qualitative-dominant mixed-methods cross-national comparative study. ...
Background: Although the general role of the school social environment in academic motivation has been demonstrated by many researchers, less attention has been paid to the effects of peer relationshi...
Background Although loneliness is a core interpersonal risk factor for depression, its unique contribution—independent of other co-occurring affects—remains insufficiently explored in daily life. Furt...
Background While left-sided colon cancer (LCC) is distinct from right-sided disease, its internal heterogeneity is poorly understood. This study compares prognosis and molecular features between sigmo...
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