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This study examines the effects of leverage, sales growth, and Environmental, Social, and Governance (ESG) disclosure on the financial performance of manufacturing companies in Indonesia, with board size as a moderating ...

This study provides an empirical analysis of the volatility dynamics of the Deutscher Aktienindex (DAX) stock index over a 20-year period based on daily observations, specifically from January 2, 2006, to March 20, 202...

Pro‑cyclical and non‑cyclical sectors generate markedly different revenue patterns, a distinction that may influence firms’ willingness to share profits with investors. This study examines whether ownership structu...

The main aim of this analysis is to examine how corporate governance alter the effect of financial performance and debt on stock prices. Secondary sources, such as documents and literary evaluations, were used to collect...

Multimodal remote sensing image registration is a fundamental step for multisource data fusion and geospatial analysis. However, nonlinear radiometric, textural, and geometric discrepancies across modalities challenge in...

The sustainable production of 5-hydroxymethylfurfural (HMF) from glucose remains a major challenge in advancing bio-based chemical platforms. Despite extensive research, achieving high HMF yields in environmentally frien...

Abstract Experiencing weight stigma during pregnancy, such as unsolicited comments on physical appearance and weight gain, correlates with adverse mental health outcomes. This study investigated public perceptions of acc...

Abstract Physical sciences are essential to the predictive modeling of complex environmental systems, particularly environmental monitoring and sustainability applications, as they provide the deterministic foundation re...

Food waste (FW) in collective catering settings remains a critical barrier to sustainable food systems, due to its magnitude and multidimensional negative impacts. Food waste reduction and prevention measures are often d...

Abstract Biochar yield prediction plays a critical role in optimizing pyrolysis processes and advancing sustainable biomass utilization. This study introduces a hybrid machine learning framework that integrates Decision ...

Abstract Federated Learning (FL) has been widely used in Internet of Things (IoT) environments as a promising decentralized framework capable of collaborative model training without exposing local data. Despite its advan...

Abstract Echo State Networks are recurrent neural networks that leverage a random reservoir’s dynamics, training only a simple readout layer. This approach is computationally efficient but limits network performance. B...

Background: Cardiac complications arising from diabetes mellitus manifest as structural and functional myocardial alterations independent of traditional cardiovascular risk factors. The intricate molecular underpinnings ...

Protein aggregation plays a central role in the pathogenesis of many neurodegenerative diseases and poses major challenges in protein engineering. A key driver of this process is the presence of aggregation-prone regions...

Abstract In the world of the Internet of Things (IoT), wireless sensor networks (WSNs) play a vital role in enabling seamless communication between connected devices. In a WSN data prediction system based, clustering and...

Abstract Background Cancer immunotherapy has revolutionized the clinical management of cancer due to its promising survival benefits. Although FDA-approved cancer immunotherapy primarily leverages adaptive immunity for t...

Novel innovations in large language models (LLMs) have demonstrated their ability to generate and analyze literary texts. As a result of intricate semantic layers, metaphors, polyphony, and nonlinear narrative structures...

Abstract Background Fetal hypoxia is a leading cause of neonatal morbidity and mortality. Cardiotocography (CTG) is widely used to predict fetal hypoxia during labor, but its interpretation remains suboptimal. Artificial...

Abstract Background College students are a key population for opioid use, misuse, and subsequent exposure to overdose events. However, their knowledge and attitudes in response to opioid overdose warrant further study. T...

Abstract The progressive erosion of Traditional Ecological Knowledge (TEK) in Java, a process exacerbated by colonial disruption, has created a critical disjuncture in biodiversity data. This research examined the 19th-c...

Abstract Background A rapidly rising prevalence of hypertension (HTN) is observed in low-and-middle-income countries but few studies explore factors such as attitudes and beliefs, experiences and social and cultural cond...

Abstract Multiple drivers of global change are causing rapid biodiversity loss worldwide. However, predicting species’ trajectories remains challenging due to the dynamic and state-dependent nature of ecological respon...

Abstract The Internet of Things (IoT) and emerging technologies have converged to drive the remarkable development of intelligent systems. The interconnection of physical objects, sensors, and tiny communication devices ...

Abstract Inducing protein oligomerization holds therapeutic promise, yet identifying or rationally designing effective inducers remains challenging. In this study, we leverage nanopore technology to screen small molecule...