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Abstract Neural Machine Translation (NMT) for low-resource languages such as Assamese faces significant challenges due to the scarcity of parallel corpora. To address this, we propose a novel zero-shot translation framew...

Abstract Assembly geometric error as a part of the machine tool system errors has a significant influence on the machining accuracy of the multi-axis machine tool. And it cannot be eliminated due to the error propagation...

Abstract Improving cacao yield, a key objective in post-domestication crop improvement, remains a primary goal for breeders, but progress is often hindered by the confounding effects of population structure. To overcome ...

Macromolecular crystallography provides mechanistic understanding of biological processes and can be applied in drug design. Nowadays, the use of robotic systems for crystal growth and diffraction analysis is widespread ...

Abstract Crosscutting technologies to resolve several stress factors should be exploited to address multiple nutrient deficiencies in standing crops. Executing translational research is vital for the long-term sustenance...

Sarfaraz K Niazi Department of Pharmaceutical Sciences, University of Illinois, Chicago, IL, 60612, USACorrespondence: Sarfaraz K Niazi, Email sniazi3@uic.eduAbstract: Quantum technologies—quantum computing, quantum se...

Abstract Background The prognosis and progression mechanisms of bladder cancer (BLCA) are highly heterogeneous, driven by complex genetic and epigenetic alterations. This study aimed to construct a robust prognostic sign...

Today, Artificial Intelligence (AI) has permeated across diverse disciplines, professional sectors, and recreational activities. Translation and interpreting are two sectors in which AI is becoming increasingly important...

Translation, understood in its broadest sense, constitutes an essential tool for overcoming linguistic and communicative barriers in diverse social, cultural, and academic contexts. In recent decades, the development and...

Abstract Background Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine lear...

Triple-negative breast cancer (TNBC) is a subtype of breast cancer with strong invasiveness, limited treatment options, and poor prognosis. Its early accurate diagnosis and individualized treatment are major challenges f...

ABSTRACT Healthcare systems are progressively shifting toward long‐term, personalized models that rely on continuous physiological monitoring, thereby intensifying the need for advanced bioelectronic technologies. The ...

Abstract Background Radiomics analysis of 18F-FDG PET/CT enables extraction of high-dimensional quantitative features that may serve as imaging biomarkers for tumor biology. In particular, in non-small cell lung cancer (...

Abstract The use of animal-borne devices to measure acceleration has yielded insights into animal locomotion, behaviour and energy expenditure. We present the first systematic review of accelerometry on animals, spanning...

Abstract Background Metabolic syndrome (MetS) obviously increases the risk of major adverse cardiac and cerebrovascular events (MACCE) in patients with acute myocardial infarction (AMI). However, the metabolic mechanisms...

Abstract Background Lung adenocarcinoma (LUAD) is a predominant contributor to cancer‑related mortality globally. Lung‑associated fibroblasts (LAFs) are intricately linked to tumorigenesis and the tumor microenvironm...

Manual Gross Tumor Volume (GTV) delineation for radiotherapy is time‑consuming and prone to inter‑observer variability. Deep Learning (DL)-based auto‑segmentation offers faster and more consistent solutions, but tr...

BackgroundProstate cancer is the sixth most common cause of cancer-related death in males globally and is often identified as a secondary malignancy. Early detection and appropriate management increase the patient’s li...

This research investigates how multilingual news circulation produces fundamentally new textual formations rather than reproducing the original message across languages. By tracing a single news event through three media...

Abstract Background Circadian rhythms are endogenous, transcription-translation feedback loops that align cellular activities with the 24-h light–dark cycle. Stem-cell populations across tissues exhibit circadian oscil...

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...

T follicular helper (Tfh) cells have been reported to have multiple trajectories, including terminally differentiated Tfh, memory-like circulatory Tfh (cTfh), and, most recently, induced T follicular regulatory (iTfr) ce...

Small sample sizes in preclinical research limit the extraction of reliable knowledge and hinder translational progress. We propose genESOM, a generative artificial intelligence method based on emergent self‑organizing...

ABSTRACT Deep learning profoundly impacts various areas, such as face recognition and language translation. Owing to the increasingly high computational costs of training neural architectures, it is intractable to manual...