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

Abstract The application of Bayesian statistics in pivotal clinical trials has gained increasing attention, particularly for underpowered confirmatory trials such as those in pediatric and rare disease populations. Bayes...

The rapid expansions of artificial intelligence (AI), big data (BD), and information and communication technologies (ICT) are driving substantial growth in electricity, water, and material demands, with data centers proj...

Abstract Digital government development, as a key direction for governmental advancement in the digital economy era, presents a valuable opportunity to enhance regional innovation efficiency. This article delves into the...

This scientific approach focuses on current trends in internal audit activity and internal control procedures in the context of the need to streamline the economic activity of public institutions in the Republic of Mol...

The digitalization of the global economy has emerged as a defining trend of the 21st century, fundamentally reshaping monetary systems and financial interactions. In Ukraine, this process has catalyzed a shift from tradi...

Farmer credit default identification in the context of inclusive finance is significantly hindered by sample scarcity, heterogeneous data sources, and the underutilization of “soft information” embedded in ...

Steganography currently holds a vital position in information security, reflecting its growing importance within the energy industry. Steganographic methods are employed to ensure data integrity and authentication in Sma...

Abstract Smart home networks are a rapidly evolving part of the Internet of Things (IoT), where connected devices exchange information to automate energy use, enhance comfort, and improve user safety. Despite their benef...

Communication is moving from being data-centric to being experience-centric and perception-aware with the advent of 6G wireless networks. Immersive applications such as digital twins, holographic telepresence, extended r...

Abstract Early and reliable smoke detection is critical for preventing fire-related disasters, safeguarding human lives, and ensuring infrastructure safety. Conventional sensor-based systems, however, are often constrain...

Artificial intelligence (AI) is rapidly being adopted across public and private sectors. This offers significant gains in efficiency, decision making, and access to information. At the same time, AI introduces complex ri...

This study examines how information technology (IT) development influences the environmental sustainability (ES) of China’s resource-based cities. Using data from 1210 cities, the entropy weight method was applied to c...

Abstract Background N6-methyladenosine ( $$m^{6}A$$ ) plays a crucial role in enriching RNA functional and genetic information. While deep learning has advanced $$m^{6}A$$ site identification, current state-of-the-art me...

The rapid development of information technology has significantly transformed administrative practices within government institutions, encouraging the transition from conventional manual systems to integrated digital pla...

The digital transformation of higher education institutions (HEIs) has introduced unprecedented connectivity and operational efficiency, but it has also heightened their exposure to cyber threats. South African HEIs, in ...

Climate change is creating serious challenges for fisheries in coastal Nigeria. Fisheries extension workers, who support fishers with advice and training, must themselves be resilient to continue delivering services. Thi...

Abstract Parkinson’s Disease (PD) is a progressive neurodegenerative disorder that causes motor and cognitive impairments, affecting approximately 1% of individuals over 60 years of age. Speech impairments are among th...

ABSTRACT Background and Aims De novo drug design is the process of generating novel lead compounds that possess desirable pharmacological activities and optimal physicochemical properties for therapeutic development. In ...

Abstract Recently, numerous lightweight image super-resolution methods with low computational complexity have been proposed, achieving a promising trade-off between reconstruction quality and efficiency. However, most ex...

Abstract Satellite Image Classification is a process in remote sensing that aims at classifying pixels of satellite imagery into usable information of land use and land cover. This information is not only limited to seve...

The article substantiates the need to modernize customs statistics of Ukraine as a key tool for forming foreign economic policy and ensuring international comparability of data in the context of European integration. The...

Reducing radiation damage is becoming a crucial factor in the development of future electron microscopes. The concept of interaction-free imaging utilizing a Mach–Zehnder interferometer has been proposed originally in....

Hydrological models commonly use very simple snow accumulation and melt models based on air temperature information, namely, a temperature threshold for snow accumulation as well as for snowmelt, and a melt factor. This ...