Resilience assessment in process industries: A review of literature.

Several types of accidents, such as exposure to toxic gases, fires, or explosions, are encountered in process industries which are highly risk systems. To reduce risks and the consequences of disruptive events, resilience is recognized as one of the most important aspects of safety management, and resilience assessment in complex process systems plays an important role. This study examines methods for resilience assessment in process industries, by reviewing the published studies.

Chitosan Schiff-Base Hydrogel Sunscreen: A Multifunctional Hybrid Network with Antioxidant, Ultraviolet-Shielding, and Self-Healing Properties.

Prolonged exposure to ultraviolet (UV) radiation can cause erythema, sunburn, inflammation, and even skin cancer. Sunscreen is highly effective in protecting against UV radiation. Hydrogels, due to their similarity to the skin's extracellular matrix, flexibility, and high water content, have been widely used for sunscreen applications.

Factors influencing unsafe acts in the automotive industry using grounded theory and fuzzy DEMATEL.

Occupational accidents are recognized as the cause of numerous severe injuries and fatalities worldwide. Unsafe Acts (UAs) and unsafe conditions are the two primary origins of accidents, dentifying and prioritizing them can help prevent accidents from occurring. So, the aim of this study was to identify and prioritize the factors influencing unsafe acts in the automotive industry using grounded theory and fuzzy DEMATEL.

Geometry of obstructed pathway regulates upstream navigational pattern of sperm population.

Sperm navigation through the complex microarchitecture of the fallopian tube is essential for successful fertilization. Spatiotemporal structural alteration due to folded epithelium or muscle contractions in the fallopian tube changes the geometry of the sperm pathways. The role of structural complexity in sperm navigational patterns has been investigated for single sperm cells but has not been fully addressed at the population level.

Introducing an integrated approach for fire safety assessment in healthcare facilities by interval valued neutrosophic-AHP and Fuzzy Inference System.

Fire safety in healthcare facilities is extremely important due to limited evacuation capacity of occupants. Therefore, poor fire safety precautions lead to more fatalities and financial losses. This study introduces an effective fire risk management approach for healthcare buildings utilizing an interval valued neutrosophic-fuzzy framework.

Improving spleen segmentation in ultrasound images using a hybrid deep learning framework.

This paper introduces a novel method for spleen segmentation in ultrasound images, using a two-phase training approach. In the first phase, the SegFormerB0 network is trained to provide an initial segmentation. In the second phase, the network is further refined using the Pix2Pix structure, which enhances attention to details and corrects any erroneous or additional segments in the output.

Systematic review: Mechanisms of photoactive nanocarriers for imaging and therapy including controlled drug delivery.

Background: The design of smart, photoactivated nanomaterials for targeted drug delivery systems (DDS) has garnered significant research interest due in part to the ability of light to precisely control drug release in specific cells or tissues with high spatial and temporal resolution. The development of effective light-triggered DDS involves mechanisms including photocleavage, photoisomerization, photopolymerization, photosensitization, photothermal phenomena, and photorearrangement, which permit response to ultraviolet (UV), visible (Vis), and/or Near Infrared (NIR) light. This review explores recent advancements in light-responsive small molecules, polymers, and nanocarriers, detailing their underlying mechanisms and utility for drug delivery and/or imaging.

An integrated approach to a predictive and ranking model of use error using fuzzy BWM and fuzzy TOPSIS.

Avoiding error in handling artifacts is crucial for achieving a high level of system reliability and safety assessment. This study develops a predictive and ranking model of use error (PRUE). In the first phase, use errors are systematically detected and anticipated via an inquiry process in two levels (activity and function).

The Impact of Social Media in Afghanistan: A Multi-Disciplinary Study.

Background: The rapid growth of social media has profoundly transformed communication, community building, and information sharing worldwide. In Afghanistan, the proliferation of social media platforms has significantly impacted the social, cultural, and political landscape, particularly among the youth.

Objective: This multi-disciplinary study aims to explore the diverse effects of social media on Afghan youth, focusing on usage patterns, mental health implications, entertainment-driven time allocation, financial expenditures, exposure to explicit content, and academic performance.

An antiviral evaluation of punicalagin toward influenza A virus.

Objective: Influenza complications are mild to serious, and can cause death in some cases. A great deal of attention has been paid in recent years to the development and use of new antiviral compounds to overcome drug resistance in certain strains of the influenza virus and treat the clinical implications. This study aimed to investigate the antiviral effect of punicalagin and its associated mechanism against influenza A (H1N1) virus .

Identification and structural analysis for the first mutation in the cystic fibrosis transmembrane conductance regulator protein in Iran: case report and developmental insight using microsatellite markers.

Cystic fibrosis (CF) is an autosomal recessive disease caused by the inheritance of two mutant cystic fibrosis transmembrane conductance regulator (CFTR) alleles, one from each parent. Autosomal recessive disorders are rarely associated with germline mutations or mosaicism. Here, we propose a case of paternal germline mutation causing CF.

Forward layer-wise learning of convolutional neural networks through separation index maximizing.

This paper proposes a forward layer-wise learning algorithm for CNNs in classification problems. The algorithm utilizes the Separation Index (SI) as a supervised complexity measure to evaluate and train each layer in a forward manner. The proposed method explains that gradually increasing the SI through layers reduces the input data's uncertainties and disturbances, achieving a better feature space representation.

A Systematic Review on Pulmonary TB Burden and Associated Factors Among Immigrants in the UK.

Background: The rapid growth of international human migration has positioned the UK in the top five countries in the world with 9.4 million immigrants in 2022. These immigrants originate from low- and middle-income countries and remain particularly at risk of developing TB.

Numerical study of bacteria removal from microalgae solution using an asymmetric contraction-expansion microfluidic device: A parametric analysis approach.

Microalgae have been remarkably taken into account due to their wide applications in the biopharmaceutical, nutraceutical and bio-energy fields. However, contamination of microalgae with bacteria still appears to be a concern, adversely impacting products' quality and process efficiency. Microalgae decontamination with conventional techniques is usually expensive and time-consuming.

High-Efficiency Inertial Separation of Microparticles Using Elevated Columned Reservoirs and Vortex Technique for Lab-on-a-Chip Applications.

The discovery of circulating tumor cells (CTCs) has envisioned an excellent outlook for cancer diagnosis and prognosis. Among numerous efforts proposed for CTCs isolation, vortex separation is a well-known method for capturing CTCs from blood due to its applicability, low sample volume requirement, and ability to retain cell viability. It is a label-free, passive, low-cost, and automated method, making it an ideal solution for lab-on-a-chip applications.

Application of Multiple Occupational Health Risk Assessment Models for Metal Fumes in Welding Process.

Welding fumes have an important role to create the adverse health effects. So, the aim of this study was to use of multiple occupational health risk assessment models for metal fumes in welding process. This cross-sectional study was conducted among welding workers.

Interconnected sub-networks of the macaque monkey gustatory connectome.

Macroscopic taste processing connectivity was investigated using functional magnetic resonance imaging during the presentation of sour, salty, and sweet tastants in anesthetized macaque monkeys. This examination of taste processing affords the opportunity to study the interactions between sensory regions, central integrators, and effector areas. Here, 58 brain regions associated with gustatory processing in primates were aggregated, collectively forming the .

Effects of occupational exposures on respiratory health in steel factory workers.

Background: The steel factory work environment contains various chemical exposures that can affect indoor air quality and have impact on respiratory health of the workers.

Aims: The objective of this study was to assess potential effects of occupational exposures in steel factory workers in Iran on the respiratory symptoms, occurrence and the lung function levels.

Method: This was a cross-sectional study of 133 men working in a steel factory forming the exposed group and 133 male office workers forming the reference group from a steel company in Iran.

Photosensitive Chitosan-Based Injectable Hydrogel Chemically Cross-Linked by Perylene Bisimide Dopamine with Robust Antioxidant and Cytotoxicity Enhancer Properties for In Vitro Photodynamic Therapy of Breast Cancer.

Here, we report the fabrication of an antioxidant photosensitizing hydrogel system based on chitosan (CS-Cy/PBI-DOPA) covalently cross-linked with perylene bisimide dopamine (PBI-DOPA) as a photosensitizer. The severe insolubility and low tumor selectivity limitations of perylene were overcome by conjugation with dopamine and then to the chitosan hydrogel. The mechanical and rheological study of CS-Cy/PBI-DOPA photodynamic antioxidant hydrogels illustrated interconnected microporous morphologies with high elasticity, swelling ability, and suitable shear-thinning behavior.

Prioritizing risk factors of hazardous material road transportation accidents using the fuzzy AHP method.

Background: Annually, large amounts of hazardous materials (hazmat) are transported through the roads and this movement causes various accidents. Identifying the causes of these accidents is a critical issue for all public governments.

Objectives: This study aimed to identify the effective risk factors for hazmat road transport accidents and determine their relative weight using the fuzzy analytical hierarchy process (AHP) method.

Quantitative risk assessment of respiratory exposure to acrylonitrile vapor in petrochemical industry by U.S. Environmental Protection Agency method: a cross-sectional study.

Acrylonitrile is a potential carcinogen for humans, and exposure to this substance can cause adverse effects for workers. This study aimed to carcinogenic and health risk assessment of acrylonitrile vapor exposure in exposed personnel of a petrochemical complex. This crosssectional study was performed in 2019 in a petrochemical complex.

Metabolite Profiling and Bioassay-Guided Fractionation of Boiss. Hydroethanolic Leaf Extracts for Identification of Broad-Spectrum Pre and Postharvest Antifungal Agents.

Hydroethanolic leaf extracts of 14 Iranian Boiss. populations were screened for their antifungal activity against five plant pathogenic fungi and metabolically profiled using a non-targeted workflow based on UHPLC/ESI-QTOFMS. Detailed tandem mass-spectrometric analyses of one of the most active hydroethanolic leaf extracts led to the annotation of 68 non-volatile semi-polar secondary metabolites, including 33 flavonoids, 9 hydroxycinnamic acid derivatives, 14 terpenoids, and 12 other metabolites.

The impact of gastric pouch size, based on the number of staplers, on the short-term weight outcomes of Roux-en-Y gastric bypass.

Introduction: No standard of anatomical variables, including stoma size, limb length, pouch size, and volume, has been determined for laparoscopic Roux-en-Y gastric bypass yet. Herein, we evaluated the effect of two different techniques for creating the gastric pouch on short-term postoperative weight loss.

Methods: This retrospective cohort was conducted on patients with a laparoscopic Roux-en-Y gastric bypass history from January 2019 to September 2020.