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The paper presents the quantitative measurement and variability of six non-traditional grain quality indicators of 10 cultivars of common winter wheat harvested in 2021-2022, obtained during tests using the Chopin+ proto...

Abstract In 2021, China’s first Mars rover Zhurong successfully landed on the southern Utopia Planitia (109.925°E, 25.066°N) and began its exploration. The low-frequency channel (15–95 MHz) of Mars Rover Penetrat...

This study aims to identify the best predictive model for analysing online product reviews (OPRs) in the electronics industry, with a secondary focus on leveraging unstructured customer feedback to support product improv...

Customer feedback is pivotal in enhancing service quality and user satisfaction across digital platforms. However, traditional sentiment analysis methods often struggle with informal languages, contextual nuances, and as...

ObjectiveChronic pain, a major global public health burden, is primarily driven by altered central pain processing, which conventional treatments rarely target directly. This systematic review and meta-analysis synthesiz...

Malware represents the most critical threat in cybersecurity, meant to compromise the security for any individual or any organization. These are covert software, designed to perform malicious act like data theft, data al...

Falls among older adults pose a major healthcare and social burden, making early identification of high-risk individuals essential for prevention. This study presents a portable, non-invasive AI-based wearable system tha...

Abstract Background In biomedical research, subjects and biospecimens are commonly tracked using simple IDs or UUIDs, which guarantee uniqueness but convey no embedded semantic information. Contextual metadata (such as t...

Today, when managers are faced with radical paradigm shifts, researchers are closely following the phenomenon of the digitalization of the decision-making process. Discussing various advantages and disadvantages, as ...

Multimodal data integration is increasingly central to neuroscience and perception science, where heterogeneous signals such as behavioral responses, sensory inputs, electrophysiological recordings, neuroimaging measurem...

BackgroundTranscriptome−wide association study (TWAS) contributes to discovering novel susceptibility genes related to diseases. Single-cell RNA sequencing (scRNA-seq) has been extensively applied to characterize cellu...

Abstract Background Effective modeling and parametric studies strengthen analyses of the influence of cotton fiber properties on the yarn properties, which are important for developing a higher-quality product. Machine l...

This research aims to implement web scraping techniques to collect testimonial data from the CeriaMultimedia website and perform sentiment analysis to evaluate service quality. The collected data consists of a limited nu...

This protocol outlines planned methodology for a systematic review and meta-analysis of dopaminergic neuroimaging findings in individuals with opioid use disorder (OUD). Converging evidence across substance use disorders...

Abstract The electrical structure of oceanic lithosphere and underlying asthenosphere provides crucial constraints on upper mantle dynamics, complementing seismic observations to distinguish between competing mechanisms ...

Topicality of comparative study in Foreign Direct Investments (FDI) is determined by the need to deepen analysis of economic activity challenges and opportunities related to cross-border investments. Research in FDI tren...

Abstract Sago (Metroxylon sagu Rottb.) is a traditional staple food and a strategic bioresource with growing relevance in Southeast Asia’s transition toward a sustainable bioeconomy. This study provides a bibliometric ...

Abstract In the era of intelligent systems and data-driven technologies, making precise and reliable decisions under uncertainty has become increasingly vital. The primary aim of this study is to tackle decision making (...

The article presents the developed algorithm and software for automated monitoring of strawberry plant growth using neural network technologies. The YOLO11x and YOLOx-seg models, pre-trained by transfer learning, are ada...

The application of Artificial Intelligence (AI) in project management is transforming decision-making processes, enhancing task execution, and improving risk management. This study aimed to elucidate the challenges raise...

Abstract The accelerating consumption of electrical and electronic equipment (EEE) has led to rapid growth in waste electrical and electronic equipment (WEEE), which is currently the fastest-growing waste stream worldwid...

Abstract Background Endoplasmic reticulum stress (ERS) is linked to the progression of atherosclerosis (AS). The function of ERS-related genes (ERSRGs) in AS remains ambiguous, hence, this study sought to examined their ...

Medical image prediction plays a very significant role in clinical decision-making and early detection and diagnosis of different diseases. However, the quality of medical images has a huge impact on the predictive model...

This paper examines the presence and performance of cultural and creative industries (CCIs) in rural regions, specifically using the example of the Vysočina Region, and compares it with other regions in the Czech Republ...