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A unified parameter model based on machine learning for describing microbial transport in porous media.

The transport and retention of microorganisms are typically described using attachment/detachment and straining/liberation models. However, the parameters in the models varied significantly, posing a significant challenge to describe microbial transport under different environmental conditions. A neural network (ANN) model was developed in this study to link the parameters in the model with the fa...

Genetics and Epigenetics in Personalized Nutrition: Evidence, Expectations, and Experiences.

With the presentation of the blueprint of the first human genome in 2001 and the advent of technologies for high-throughput genetic analysis, personalized nutrition (PN) becomes a new scientific field and the first commercial offerings of genotype-based nutrition advice emerge at the same time. Here, the state of evidence for the effect of genetic and epigenetic factors in the development of obesi...

A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation.

AMPylation is an emerging post-translational modification that occurs on the hydroxyl group of threonine, serine, or tyrosine via a phosphodiester bon...

Maintenance and Management Technology of Medical Imaging Equipment Based on Deep Learning.

Medical equipment maintenance in modern hospital management is an emerging marginal discipline which is one of the important branches of hospital mana...

Biomedical Microscopic Imaging in Computational Intelligence Using Deep Learning Ensemble Convolution Learning-Based Feature Extraction and Classification.

Microscopy image analysis gives quantitative support for enhancing the characterizations of various diseases, including breast cancer, lung cancer, an...

A generative adversarial inpainting network to enhance prediction of periodontal clinical attachment level.

OBJECTIVES: Bone level as measured by clinical attachment levels (CAL) are critical findings that determine the diagnosis of periodontal disease. Deep...

Study on the Application of Visual Communication Design in APP Interface Design in the Context of Deep Learning.

Visual communication concepts enable linguistics or semiotics to the teaching of visual communication designs, creating graphic designs into an innova...

A Synopsis of Artificial Intelligence and its Applications in Surgery.

Artificial intelligence (AI) has made steady in-roads into the healthcare scenario over the last decade. While widespread adoption into clinical pract...

Rule extraction from biased random forest and fuzzy support vector machine for early diagnosis of diabetes.

Due to concealed initial symptoms, many diabetic patients are not diagnosed in time, which delays treatment. Machine learning methods have been applie...

Application of the deep learning algorithm in nutrition research - using serum pyridoxal 5'-phosphate as an example.

BACKGROUND: Multivariable linear regression (MLR) models were previously used to predict serum pyridoxal 5'-phosphate (PLP) concentration, the active ...

Liver Damage Is Related to the Degree of Being Underweight in Anorexia Nervosa and Improves Rapidly with Weight Gain.

Background: The present study investigates the relationship between hypertransaminasemia and malnutrition on the basis of a very large number of patie...

Novel High-Efficiency Nanocomposite Gate Design of Quantum-Dot Cellular Automata Based on Deep Learning.

With the development of science and technology, the feature size of CMOS devices will always shrink to the limit. Therefore, some new nanodevices will...

The effect of canard's optimum geometric design on wake control behind the car using Artificial Neural Network and Genetic Algorithm.

Canard is a cutting-edge aerodynamic attachment for lowering the vehicle's drag coefficient by efficiently directing the airflow as well as reducing t...

Integrated Learning Model-Based Assessment of Enteral Nutrition Support in Neurosurgical Intensive Care Patients.

To observe the clinical efficacy of early enteral nutrition application in critically ill neurosurgical patients, in this paper, we have developed a p...

A Surgeon's Guide to Artificial Intelligence-Driven Predictive Models.

Artificial intelligence (AI) focuses on processing and interpreting complex information as well as identifying relationships and patterns among comple...

Interdisciplinary Confusion and Resolution in the Context of Moral Machines.

Recent advancements in artificial intelligence (AI) have fueled widespread academic discourse on the ethics of AI within and across a diverse set of d...

Aerial-aquatic robots capable of crossing the air-water boundary and hitchhiking on surfaces.

Many real-world applications for robots-such as long-term aerial and underwater observation, cross-medium operations, and marine life surveys-require ...

In-line near-infrared analysis of milk coupled with machine learning methods for the daily prediction of blood metabolic profile in dairy cattle.

Precision livestock farming technologies are used to monitor animal health and welfare parameters continuously and in real time in order to optimize n...

Advancing Surgical Education: The Use of Artificial Intelligence in Surgical Training.

The technology of artificial intelligence (AI) has made significant in-roads into the field of medicine over the last decade. With surgery being a dis...

Fungal secondary metabolites in food and pharmaceuticals in the era of multi-omics.

Fungi produce several bioactive metabolites, pigments, dyes, antioxidants, polysaccharides, and industrial enzymes. Fungal products are also the prima...