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Parenting

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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 technolog...

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 threo...

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...

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 de...

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 communicatio...

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 dec...

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 tr...

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 pyrid...

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 malnutr...

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 ...

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 effic...

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 neurosurgi...

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

Artificial intelligence (AI) focuses on processing and interpreting complex information as well as i...

Interdisciplinary Confusion and Resolution in the Context of Moral Machines.

Recent advancements in artificial intelligence (AI) have fueled widespread academic discourse on the...

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-m...

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 co...

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 medic...

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

Fungi produce several bioactive metabolites, pigments, dyes, antioxidants, polysaccharides, and indu...

Dandelion pappus morphing is actuated by radially patterned material swelling.

Plants generate motion by absorbing and releasing water. Many Asteraceae plants, such as the dandeli...

Deciphering the blackbox of omics approaches and artificial intelligence in food waste transformation and mitigation.

It is necessary to stop the wastage of food during any stage of food chain to resolve the challenge ...

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