[No abstract available]

Precision medicine has gained considerable popularity since the “one-size-fits-all” approach did not seem very effective or reflective of the complexity of the human body. Subsequently, since single-omics does not reflect the complexity of the human body's inner workings, it did not result in the expected advancement in the medical field. Therefore, the multi-omics approach has emerged. The multi

Human drivers employ their attentional systems during driving to focus on critical items and make judgments. Because gaze data can indicate human attention, collecting and analyzing gaze data has emerged in recent years to improve autonomous driving technologies. In safety-critical situations, it is important to predict not only where the driver focuses his attention but also on which objects. In

The original article contains an error. Abstract has been removed during processing. This is now added here. Background Tissue inhibitors of metalloproteinases (TIMPs) are essential for controlling the dynamics of the extracellular matrix. Although their role in vascular diseases like as atherosclerosis and plaque development has been widely researched, the specific patterns of their expression

As an important macro element for all living cells, phosphorus is essential in agricultural production systems and is required in large quantities by elite varieties of crops to maintain yields. Approximately 70% of the worldwide cultivated land suffers from phosphorous deficiency, and it has recently been estimated that the worldwide phosphorous resources will be shattered by the end of this

This paper comprehensively evaluates the efficacy of different large language models (LLMs) in addressing mathematical challenges expressed in natural languages, mainly focusing on low-resource languages like Arabic. The main challenge of this problem is that despite the considerable size and impressive problem-solving capabilities of these models, they still require enhancements to achieve

Although several studies have investigated the effect of either probiotic feed additives or postmortem meat treatment on the quality of obtained chicken meat, the impact of combined treatment with probiotic feed additives along with meat dipping in essential oil nano-emulsion on meat shelf-life is barely examined. There-fore, this study investigated the effect of combined treatment with

Aflatoxins are one of the most dangerous toxic residues in various foods including poultry. This study was conducted to assess the reducing effect of gamma radiation on the levels of aflatoxin B1 in poultry meat, skin, and liver. To this end, a total of 80 poultry samples including meat, skin, and liver were surveyed for the incidence of aflatoxins, where only positive samples (27 samples of

【Objective】 The exploration of germplasm and gene resources in rice for high nitrogen efficiency, along with the elucidation of their molecular mechanisms and genetic effects, represents a significant focus and goal within current research efforts on rice nitrogen use efficiency (NUE).【Method】 To identify the variant loci and candidate genes associated with rice NUE, we collected 190 Asian rice

This paper aims to enhance emergency medical services by optimizing ambulance routes towards hospitals equipped for spiral CT scans with minimal wait times. It integrates real-time data on hospital availability and traffic conditions, utilizing machine learning and smart routing algorithms to predict traffic jams and determine the fastest routes. Additionally, a machine learning model is used to