Water-Soluble Vitamins: Hypo- and Hypervitaminosis in Pediatric Population.

Background/objectives: Water-soluble vitamins, comprising the B-complex vitamins and vitamin C, are essential for normal growth, cellular metabolism, and immune function in pediatric populations. Due to limited storage in the body, these vitamins require consistent intake to prevent deficiencies. Pediatric populations, particularly infants and young children, face a heightened risk of both deficiency and, in rare cases, toxicity due to varying dietary intake and increased developmental needs.

Alcohol Consumption and Autoimmune Diseases.

Alcohol is the second-most misused substance after tobacco. It has been identified as a causal factor in more than 200 diseases and 5.3% of all deaths and is associated with significant behavioral, social, and economic difficulties.

Disclosing the Complexities of Childhood Neurodevelopmental Disorders.

Neurodevelopmental disorders represent an important and complex area of pediatric medicine, including a wide range of conditions affecting brain and nervous system functioning during development [...

Management of Systemic Anti-psoriatic Drugs in Psoriasis Patients with Concurrent Paraplegia or Tetraplegia: Insights From a 6-Year Multicenter, Retrospective Observational Study.

Introduction: Patients with psoriasis (PsO) and permanent spinal cord injuries (SCI) resulting in paraplegia and tetraplegia may experience a higher rate of infections compared to patients with PsO without SCI. It can result in further challenges for therapeutic management with immunosuppressants (biological and non-biological treatments). Thus,  we aimed to evaluate the rate of infections in patients with PsO and SCI treated with systemic immunosuppressants.

A Petri Net and LSTM Hybrid Approach for Intrusion Detection Systems in Enterprise Networks.

Intrusion Detection Systems (IDSs) are a crucial component of modern corporate firewalls. The ability of IDS to identify malicious traffic is a powerful tool to prevent potential attacks and keep a corporate network secure. In this context, Machine Learning (ML)-based methods have proven to be very effective for attack identification.