Combining anti-checkpoint immunotherapies and cancer vaccines as a novel strategy in oncological therapy: A review.

The field of cancer immunotherapy has experienced remarkable advancements in the treatment of human cancers over recent decades. Therapeutic cancer vaccines have been employed to elicit antitumor immune responses through the generation of specific reactions against tumor-associated antigens. Although preclinical studies have demonstrated hopeful results and at least one product is approved for clinical use, the overall efficacy of cancer vaccines remains restricted.

Antioxidant supplementation boosts the advantages of CrossFit workouts on oxidative and muscle damage markers in obese males.

Supplementing with antioxidants may be one of the most efficient means of minimizing oxidative stress during workouts in obese individuals. The aim of this study is to identify the results after twelve weeks of CrossFit workouts combined with Spinach thylakoid extract on the levels of insulin resistance (insulin and Homeostatic Model Assessment of Insulin Resistance [HOMA-IR]), fasting blood sugar (FBS), malondialdehyde (MDA), creatine kinase (CK), lactate dehydrogenase (LDH), total antioxidant capacity (TAC), and superoxide dismutase (SOD), glutathione peroxidase (GPx) in obese males. Sixty-eight males with an average age of 27 ± 8 yrs and a BMI of 32.

Enhanced microvascular imaging through deep learning-driven OCTA reconstruction with squeeze-and-excitation block integration.

Skin microvasculature is essential for cardiovascular health and thermoregulation in humans, yet its imaging and analysis pose significant challenges. Established methods, such as speckle decorrelation applied to optical coherence tomography (OCT) B-scans for OCT-angiography (OCTA), often require a high number of B-scans, leading to long acquisition times that are prone to motion artifacts. In our study, we propose a novel approach integrating a deep learning algorithm within our OCTA processing.

Green synthesis of silver nanoparticles by Smyrnium cordifolium plant and its application for colorimetric detection of ammonia.

The need to identify ammonia is necessary because of its harmful effects on the environment and humans. In this study, a colorimetric method was also developed for the detection of ammonia using silver nanoparticles (AgNPs) synthesized with the green approach. Biosynthesis of AgNPs was performed by silver nitrate as a silver precursor and Smyrnium cordifolium extract as a reducing and stabilizing agent.

Improved microvascular imaging with optical coherence tomography using 3D neural networks and a channel attention mechanism.

Skin microvasculature is vital for human cardiovascular health and thermoregulation, but its imaging and analysis presents significant challenges. Statistical methods such as speckle decorrelation in optical coherence tomography angiography (OCTA) often require multiple co-located B-scans, leading to lengthy acquisitions prone to motion artefacts. Deep learning has shown promise in enhancing accuracy and reducing measurement time by leveraging local information.

A review of simulation and numerical modeling of electric arc furnace (EAF) and its processes.

Electric Arc Furnaces (EAFs) play a pivotal part in the steel industry, offering a versatile of producing high-quality steel. This paper conducts an in-depth examination of the EAF, along with exploring mathematical modeling and optimization techniques pertinent to this furnace. Additionally, it delves into the global steel production capacity employing this technology, introduces different processes associated with EAF, scrutinizes the energy balance of EAFs, and provides an overview of numerical and simulation modeling in this context.

Detection of atherosclerotic plaques with HDL-like porphyrin nanoparticles using an intravascular dual-modality optical coherence tomography and fluorescence system.

Atherosclerosis is the build-up of fatty plaques within blood vessel walls, which can occlude the vessels and cause strokes or heart attacks. It gives rise to both structural and biomolecular changes in the vessel walls. Current single-modality imaging techniques each measure one of these two aspects but fail to provide insight into the combined changes.

microRNA-184 in the landscape of human malignancies: a review to roles and clinical significance.

MicroRNAs (miRNAs) are a class of non-coding RNAs (ncRNAs) with a short length of 19-22 nucleotides. miRNAs are posttranscriptional regulators of gene expression involved in various biological processes like cell growth, apoptosis, and angiogenesis. miR-184 is a well-studied miRNA, for which most studies report its downregulation in cancer cells and tissues and experiments support its role as a tumor suppressor inhibiting malignant biological behaviors of cancer cells in vitro and in vivo.

The role of microRNAs in the pathophysiology of human central nervous system: A focus on neurodegenerative diseases.

microRNAs (miRNAs) are suggested to play substantial roles in regulating the development and various physiologic functions of the central nervous system (CNS). These include neurogenesis, cell fate and differentiation, morphogenesis, formation of dendrites, and targeting non-neural mRNAs. Notably, deregulation of an increasing number of miRNAs is associated with several neurodegenerative diseases including Alzheimer's disease, Parkinson's disease, multiple sclerosis, amyotrophic lateral sclerosis and CNS tumors.

Explanatory models of stillbirth among bereaved parents in Afghanistan: Implications for stillbirth prevention.

Local perceptions and understanding of the causes of ill health and death can influence health-seeking behaviour and practices in pregnancy. We aimed to understand individual explanatory models for stillbirth in Afghanistan to inform future stillbirth prevention. This was an exploratory qualitative study of 42 semi-structured interviews with women and men whose child was stillborn, community elders, and healthcare providers in Kabul province, Afghanistan between October-November 2017.

Synthesis of Novel Cationic Photosensitizers Derived from Chlorin for Application in Photodynamic Therapy of Cancer.

Background: Chlorins (dihydroporphyrins) are tetrapyrrole-based compounds that are more effective in photodynamic therapy than porphyrins. The instability of the compounds and their oxidation to porphyrin limits the use of these compounds. However, the design and synthesis of new stable chlorin-based cationic photosensitizers with the potential for use in cancer photodynamic therapy can be interesting.

The association between blood, urine, respiratory, neurobehavioral parameters and occupational exposure to organophosphorus pesticides: a cross-sectional study among formulators.

Background: Organophosphate (OP) pesticides are one of the most extensively used chemical compounds all over the world.

Objective: The aim of this study is to determine whether occupational exposure of the formulators to the OP pesticides, under normal working conditions, is associated with any hematotoxic, hepatotoxic, nephrotoxic, neurotoxic, and respirotoxic responses among them.

Methods: 28 OP formulation plant workers and 17 office workers participated in this cross-sectional study as the exposed and control groups, respectively.

Modeling and comparing minimum miscibility pressure using multiple mixing cells for injection of enriched gases with Naphta, LPG, and NGL.

The increase in oil production from hydrocarbon reservoirs has always been of interest due to the increase in global oil consumption. One of the effective and useful methods for enhancing oil recovery from hydrocarbon reservoirs is gas injection. Injectable gas can be injected into two modes, miscible and immiscible.

Thermosensitive and biodegradable PCL-based hydrogels: potential scaffolds for cartilage tissue engineering.

Due to a lack of sufficient blood supply and unique physicochemical properties, the treatment of injured cartilage is laborious and needs an efficient strategy. Unfortunately, most of the current therapeutic approaches are, but not completely, unable to restore the function of injured cartilage. Tissue engineering-based modalities are an alternative option to reconstruct the injured tissue.

Efficient Heat Transfer Augmentation in Channels with Semicircle Ribs and Hybrid AlO-Cu/Water Nanofluids.

Global technological advancements drive daily energy consumption, generating additional carbon-induced climate challenges. Modifying process parameters, optimizing design, and employing high-performance working fluids are among the techniques offered by researchers for improving the thermal efficiency of heating and cooling systems. This study investigates the heat transfer enhancement of hybrid "AlO-Cu/water" nanofluids flowing in a two-dimensional channel with semicircle ribs.

Exploring the co-movements between COVID-19 pandemic and international air traffic: A global perspective based on wavelet analysis.

The travel and tourism industry was one of the fastest-growing industries before the onset of the COVID-19 pandemic. However, to avoid COVID-19 spread, the government authorities imposed strict lockdown and international border restrictions except for some emergency international flights that badly hit the travel and tourism industry. The study explores the nexus between international air departures and the COVID-19 pandemic in this strain.

Recent scaffold-based tissue engineering approaches in premature ovarian failure treatment.

Recently, tissue engineering and regenerative medicine have received significant attention with outstanding advances. The main scope of this technology is to recover the damaged tissues and organs or to maintain and improve their function. One of the essential fields in tissue engineering is scaffold designing and construction, playing an integral role in damaged tissues reconstruction and repair.

A fractional-order mathematical model for COVID-19 outbreak with the effect of symptomatic and asymptomatic transmissions.

The purpose of this paper is to investigate the transmission dynamics of a fractional-order mathematical model of COVID-19 including susceptible ( ), exposed ( ), asymptomatic infected ( ), symptomatic infected ( ), and recovered ( ) classes named model, using the Caputo fractional derivative. Here, model describes the effect of asymptomatic and symptomatic transmissions on coronavirus disease outbreak. The existence and uniqueness of the solution are studied with the help of Schaefer- and Banach-type fixed point theorems.

Molecular dynamics simulation approach for discovering potential inhibitors against SARS-CoV-2: A structural review.

Since the commencement of the novel Coronavirus, the disease has quickly turned into a worldwide crisis so that there has been growing attention in discovering possible hit compounds for tackling this pandemic. Discovering standard treatment strategies is a serious challenge because little information is available about this emerged infectious virus. Regarding the high impact of time, applying computational procedures to choose promising drugs from a catalog of licensed medications provides a precious chance for combat against the life-threatening disorder of COVID-19.

Effectiveness of BNT162b2 and ChAdOx1 Vaccines against Symptomatic COVID-19 among Healthcare Workers in Kuwait: A Retrospective Cohort Study.

Background: Estimating vaccine effectiveness (VE) against severe, acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among healthcare workers (HCWs) is necessary to demonstrate protection from the disease. Between 24 December 2020 and 15 June 2021, we determined the factors associated with vaccine coverage and estimated VE against SARS-CoV-2 infection in HCWs at a secondary hospital in Kuwait.

Methods: We extracted sociodemographic, occupational, SARS-CoV-2 infection, and vaccination data for eligible HCWs from the hospital records.

Comparison of the Effects of Nika Vaginal Cream with Clotrimazole Cream on Vaginal Candidiasis Symptoms: A Randomized Single-Blind Clinical Trial.

Background: The prevalence of vaginal candidiasis is high in women and proper treatment is essential in this regard.

Materials And Methods: This single-blind randomized controlled clinical trial was conducted on 120 women who were referred to Hamadan health centers in 2019. The patients were randomly divided into Clotrimazole cream and Nika vaginal cream groups each including 60 cases.

Pulsatile Bi-Directional Aerosol Flow Affects Aerosol Delivery to the Intranasal Olfactory Region: A Patient-Specific Computational Study.

The nasal olfactory region is a potential route for non-invasive delivery of drugs directly from the nasal epithelium to the brain, bypassing the often impermeable blood-brain barrier. However, efficient aerosol delivery to the olfactory region is challenging due to its location in the nose. Here we explore aerosol delivery with bi-directional pulsatile flow conditions for targeted drug delivery to the olfactory region using a computational fluid dynamics (CFD) model on the patient-specific nasal geometry.

Thermophysical Properties of Hybrid Nanofluids and the Proposed Models: An Updated Comprehensive Study.

Thermal performance of energy conversion systems is one of the most important goals to improve the system's efficiency. Such thermal performance is strongly dependent on the thermophysical features of the applied fluids used in energy conversion systems. Thermal conductivity, specific heat in addition to dynamic viscosity are the properties that dramatically affect heat transfer characteristics.

Controlling the lasing modes in random lasers operating in the Anderson localization regime.

Random lasers, which rely on random scattering events unlike traditional Fabry-Pérot cavities, are much simpler and cost-effective to fabricate. However, because of the chaotic fluctuations and instability of the lasing modes, controlling the lasing properties is challenging. In this study, we use random InP nanowire (NW) arrays that operate in the Anderson localization regime with stable modes as the random lasers.