Functional, nutritional, and sensorial evaluation of sorghum-based beverages produced by single- and two-stage acid, α-amylase enzyme, and germination treatments.

Nowadays, the consumption of functional foods, such as plant-based beverages, is increasing due to their health-promoting properties. The low extraction yield of nutritional and functional components is considered a major challenge during the production of sorghum-based beverages (SBB), as well as their sensorial properties. This investigation studied the effects of various treatments (acidic using phosphoric acid, enzymatic using α-amylase, germination, germination-acidic, germination-enzymatic, and acidic-enzymatic) on the functional, nutritional, and sensorial properties of SBB.

Using rice bran as a press aid during the cold-pressing of sesame seeds improved the extraction yield and quality of the resultant oil.

Simple, cost-effective, and practical techniques can enhance the shelf life of cold-pressed oils. This study evaluated sesame seed (SS) cold-pressed oil with various percentages of rice bran (RB) as press aid, including 0% (control or TSSO), 1% (T1), 2.5% (T2.

In vitro evaluation of milk incorporated with Delar alcoholic extract for antioxidant and antidiabetic potentials.

The present study evaluates the effect of alcoholic extract (EBAE) at weight/volume levels of 0.5% and 1% on some physicochemical, sensory, and microbial properties of cow milk. Results showed that adding EBAE reduced the samples' pH, lightness index (*), and whitening index (WI).

Identification and characterization of gene mutations in an Iranian patient with Leber congenital amaurosis 9.

Key Clinical Message: The discovery of compound heterozygous mutations (c.245T>C; p.Val82Ala and c.

In Silico Design of a Trans-Amplifying RNA-Based Vaccine against SARS-CoV-2 Structural Proteins.

Nucleic acid-based vaccines allow scalable, rapid, and cell-free vaccine production in response to an emerging disease such as the current COVID-19 pandemic. Here, we objected to the design of a multiepitope mRNA vaccine against the structural proteins of SARS-CoV-2. Through an immunoinformatic approach, promising epitopes were predicted for the spike (S), envelope (E), membrane (M), and nucleocapsid (N) proteins.

Hospital crisis management in the epidemic: A qualitative study.

Background: Despite the advances in medical science, the epidemic of infectious diseases has faced serious challenges to the health system of countries, so the purpose of this study was to identify obstacles and management strategies to prepare for planning preventive measures and better care in dealing with infectious diseases in hospitals.

Method: The current qualitative research was of the grounded theory type, which was conducted in 2023. The semistructured interview questions were obtained from experts.

Endocan as a biomarker for acute respiratory distress syndrome: A systematic review and meta-analysis.

Background And Aims: Endocan is a marker of endothelial damage. Data regarding the association of this proteoglycan and acute respiratory distress syndrome (ARDS) is discrepant. Hence, this study sought to investigate the possible correlation between serum/plasma endocan concentration and ARDS.

Nano-Medicine for Treatment of Tuberculosis, Promising Approaches Against Antimicrobial Resistance.

Even though the number of effective anti-tuberculosis or anti-mycobacterial agents is increasing, a large number of patients experience severe side effects as a result of these drugs. This hurts the patients' well-being and quality of life. Tumor cells that survive treatment modalities can become chemotherapy resistant at the molecular level.

Role of Branched and Aromatic Amino Acids, Diet Inflammatory Index, and Anthropometric Indices on Mental Health.

Background: Mental health disorders are one of the most important and increasing health problems in the youth of today's societies. Some dietary intake and body mass status are factors that affect mental health. This study aimed to investigate the relationship between the intake of branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs) and anthropometric and dietary inflammatory indices with mental health, including depression, anxiety, and stress.

Optimizing antidiabetic properties of extract: Investigating the effects of foliar application of chitosan and salicylic acid.

Diabetes poses a significant global health burden, demanding safe and effective therapeutic interventions. Medicinal plants offer promising avenues for natural diabetic management. (goat's rue) has long been recognized for its hypoglycemic potential, but optimizing its phytochemical content and antidiabetic activity remains a key challenge.

Biochemical profile of isolates, with a main focus on the fatty acid profile.

Biochemical characterization of new microalgal strains that are isolated from diverse environmental conditions is an important starting point for the establishment of high-quality feedstock for nutraceutical and pharmaceutical applications. In this research study, the biochemical composition of three Iranian native subspecies of microalgae (, , and sp.), with the main focus on fatty acid composition, was studied.

The effect of synbiotic coating of flaxseed mucilage-defatted rice bran carbohydrate on quality of dried mango, viability of subsp. BB12 on storage and simulating gastrointestinal condition.

In the present study, a synbiotic coating of flaxseed mucilage, defatted rice bran carbohydrate, and subsp. BB12 was fabricated for coating dried mango slices (M-P-C). The control samples contained only probiotic bacteria without coating (M-P).

Aqueous extract-mediated green synthesis of CuO nanoparticles: Potential anti-tuberculosis agents.

The emergence of drug-resistant strains in tuberculosis treatment underscores the urgency for novel therapeutic approaches. This study investigates the anti-tuberculosis activity of green-synthesized copper oxide (CuO) nanoparticles (NPs) using garlic and astragalus extracts. The physicochemical characterization of the nanoparticles confirms successful synthesis, followed by assessment of their antibacterial properties and safety profile.

Development and characterization of active packaging system based on zein nanofibers mat incorporated with geraniol-loaded nanoliposomes.

In recent years, development of biopolymeric nanofibers as an active biodegradable packaging system has attracted specific attention. The objective of this research was to develop zein-based electrospun nanofibers (NFs) incorporated with geraniol-loaded nanoliposomes (G-loaded NLPs). Geraniol was encapsulated into NLPs with an efficiency of 79.

Parkinsonism as an initial presentation of Creutzfeldt-Jakob disease: A case report and review of literature.

Key Clinical Message: Creutzfeldt-Jakob disease (CJD) is a rapidly progressive, fatal neurodegenerative disorder. This case highlights parkinsonism as a rare initial manifestation of sporadic CJD (sCJD), emphasizing the need for heightened clinical awareness to prevent misdiagnosis. Early and accurate diagnosis of sCJD is crucial for preventing potential iatrogenic transmission and optimizing patient management.

Assessing the stability and discriminative ability of radiomics features in the tumor microenvironment: Leveraging peri-tumoral regions in vestibular schwannoma.

Purpose: The tumor microenvironment (TME) plays a crucial role in tumor progression and treatment response. Radiomics offers a non-invasive approach to studying the TME by extracting quantitative features from medical images. In this study, we present a novel approach to assess the stability and discriminative ability of radiomics features in the TME of vestibular schwannoma (VS).

AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic Radiosurgery.

Geometric distortions in brain MRI images arising from susceptibility artifacts at air-tissue interfaces pose a significant challenge for high-precision radiation therapy modalities like stereotactic radiosurgery, necessitating sub-millimeter accuracy. To achieve this goal, we developed AutoCorNN, an unsupervised physics-aware deep-learning model for correcting geometric distortions. Two publicly available datasets, the MPI-Leipzig Mind-Brain-Body with 318 subjects, and the Vestibular Schwannoma-SEG dataset, encompassing 242 patients were utilized.

Encapsulation of felty germander ( L.) extract using the freeze-drying method.

Extracts with antimicrobial and antioxidant properties are limited in their application in food products due to their inability to withstand harsh environmental conditions, such as high temperatures and oxygen exposure. Therefore, the present study investigated the nanoencapsulation of L. extract using the freeze-drying method to facilitate its application and protection against environmental factors.