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ZnS nanoparticles co-doped with Ni–Cr and Ni–Cu were synthesized by chemical precipitation and systematically examined for structural, optical, magnetic, and magneto-transport properties. All samples retained the cubic zinc blende phase with nanoscale crystallinity. Optical studies showed that Ni doping induced bandgap narrowing through sp-d exchange, while Cu and Cr introduced Burstein-Moss-type
Background: Right ventricular dysfunction (RVD) is a marker of adverse outcomes in heart failure (HF). We used a 5-point RVD score to describe three phenotypes (preserved RV function, RVD and RV failure) and investigated their relationhip with cardiac function and their contribution to risk stratification. Methods: Patients (n = 201) with HF, undergoing right heart catheterization and echocardiogr
Aim: This study evaluates the health effects of plant-based dairy alternatives in healthy individuals and those with Inflammatory Bowel Disease (IBD). Specifically, it investigates whether replacing one daily meal with a plant-based alternative has a positive impact on intestinal microbiota composition and gut health. It also investigates whether the effect of probiotic bacteria in yogurt depends
Water structure is crucially important to protein function and catalysis and can be conserved throughout related proteins despite differences in sequence. The complex hydrogen-bonding networks formed by water molecules and protein residues have been studied extensively, and graph-theory-based methods have frequently been used to describe these networks. Although there exist a number of tools which
The use of organic active materials in redox flow batteries (RFBs) presents a promising approach to sustainable large-scale energy storage. However, the stability of nonaqueous organic RFB electrolytes is generally limited by degradation reactions that cause capacity fade. These reactions are commonly thought to convert redox-active organics to products that are no longer electrochemically active.
Closed-form conditions for bound states in the continuum are derived for planar, cylindrical, and spherical cavities enclosed by metasurfaces with electric and magnetic response. While the combined response in lossless systems enables field confinement in arbitrarily small cavities, the gain-enabled bound states in the continuum are found to coalesce with a laser mode, leading to intriguing single
Cancer cells exhibit phenotypical plasticity and epigenetic reprogramming that allows them to evade lineage-dependent targeted treatments by adopting lineage plasticity. The underlying mechanisms by which cancer cells exploit the epigenetic regulatory machinery to acquire lineage plasticity and therapy resistance remain poorly understood. We identified zinc finger protein 397 (ZNF397) as a bona fi
When children display disruptive behaviour problems at school or at home, their re-lationships with others are affected. Taking a systems perspective into account, where all parts of a system mutually in uence each other, and considering the reciprocal nature of interactions which imply that children are in uenced by and in uence their close surroundings, the present study seeks to examine differeWhen children display disruptive behaviour problems at school or at home, their relationships with others are affected. Taking a systems perspective into account, where all parts of a system mutually influence each other, and considering the reciprocal nature of interactions which imply that children are influenced by and influence their close surroundings, the present study seeks to examine diffe
Cambodia’s opening of Techo International Airport and the consolidation of the Bakong digital payment system signal a shift towards a more state-led and financially sophisticated development model. These initiatives reflect the Cambodian state’s expanding role in planning, financing and governing large-scale infrastructure and digital systems, deepening direct participation in development. While d
With the rapid growth of Internet media, content tagging has become an important topic with many multimedia understanding applications, including efficient organisation and search. Nevertheless, existing visual tagging approaches are susceptible to inherent privacy risks in which private information may be exposed unintentionally. The use of anonymisation and privacy-protection methods is desirabl
Large language models (LLMs) and their applications in low-resource languages (such as in Vietnamese) are limited due to lack of training data and benchmarking datasets. This paper introduces a practical real-world implementation of a question answering system for Vietnamese, called ViGPTQA, leveraging the power of LLM. Since there is no effective LLM in Vietnamese to date, we also propose, evalua
This paper firstly proposes a simple yet efficient generalized approach to apply differential privacy to text representation (i.e., word embedding). Based on it, we propose a user-level approach to learn personalized differentially private word embedding model on user generated contents (UGC). To our best knowledge, this is the first work of learning user-level differentially private word embeddin
Given the increasing number of heterogeneous data stored in relational databases, file systems or cloud environment, it needs to be easily accessed and semantically connected for further data analytic. The potential of data federation is largely untapped, this paper presents an interactive data federation system (https://vimeo.com/319473546) by applying large-scale techniques including heterogeneo
To protect user privacy in data analysis, a state-of-the-art strategy is differential privacy in which scientific noise is injected into the real analysis output. The noise masks individual’s sensitive information contained in the dataset. However, determining the amount of noise is a key challenge, since too much noise will destroy data utility while too little noise will increase privacy risk. T
Pretrained language models are integral part of AI applications, but their high computational cost for training limits accessibility. Initiatives such as Bloom and StarCoder aim to democratize access to pretrained models for collaborative community development. Despite these efforts, such models encounter challenges such as limited multilingual capabilities, risks of catastrophic forgetting during
