Institution
Shiraz University
Recent research
- Biology
From oncogenesis to approval: the lentiviral gene therapy revolution in Wiskott–Aldrich syndrome
Wiskott–Aldrich syndrome (WAS) is an X-linked primary immunodeficiency caused by pathogenic variants in the WAS gene, resulting in absent or dysfunctional WAS protein (WASp) and a clinical triad of eczema, recurrent infections, and micro-thrombocytopenia. Allogeneic hematopoietic...
- Climate & EnvironmentOpen access
The accumulation of plastics and heavy metals (HMs) in the environment has become a significant global concern due to their persistence, ubiquity, and potential ecological impacts. Atmospheric micro- and nanoplastics (MP, NP) are capable of undergoing long-range transport and can...
- Engineering & TechnologyOpen access
Electroconductive fibers based on Polycaprolactone (PCL) and Polypyrrole (PPy) possess considerable potential for bone tissue engineering due to their biocompatibility and biodegradability. However, low electrical conductivity in composites fabricated via direct blending of condu...
- Materials & Energy
Abstract The significance of property predictions for novel green solvents has resulted in various approaches, yet none are accurate, simple, global, predictive, and require minimal or no experimental data, all at the same time. We propose a novel global perspective, requiring no...
- BiologyOpen access
Taxonomy and Ecology of Novel Pythium sensu stricto Clade B Species Isolated from Cucurbits
Pythium species are globally distributed oomycetes of major ecological and phytopathological importance, yet species boundaries and character evolution within Pythium sensu stricto remain incompletely understood. Using an integrative taxonomic approach, we investigated oomycete d...
- Engineering & TechnologyOpen access
A low-complexity deep residual CNN for channel estimation in OFDM wireless sensor networks
Abstract Accurate channel estimation is essential for reliable communication in OFDM-based wireless sensor networks (WSNs), where resource constraints and dynamic environments pose significant challenges. In this paper, we propose a low-complexity deep residual convolutional neur...
- Health & MedicineOpen access
A vital aspect of health affected by immigration is diet quality. Previous investigations on this topic have yielded inconsistent results. This systematic review aims to summarize and organize research findings about diet quality among adult immigrants compared with non-migrants....
- BiologyOpen access
Behçet’s disease (BD) is a chronic inflammatory disorder characterized by recurrent mucocutaneous, ocular, articular, and systemic inflammation. TNFAIP3 encodes A20, a negative regulator of NF-κB signaling, and its variants are implicated in immune-mediated diseases. This case-co...
- BiologyOpen access
The quality of life (QoL) is a multidimensional concept that its enhancement is a key goal in clinical and public health interventions. Evidence for the effect of carnitine on QoL is still contradictory. Therefore, the present study aims to systematically review the current evide...
- Engineering & Technology
Abstract The growing global energy demand and steady decline of the conventionally available reserves have increased reliance on enhanced oil recovery (EOR) to mobilize residual oil, especially in oil-wet carbonates with harsh reservoir conditions. In this study, three deep eutec...
- Health & MedicineOpen access
Abstract Background Despite the global interest in depression as a disorder, few studies have been conducted on the association of female sex hormones and depression across different reproductive ages, and the findings have not been consistent to date. This study aimed to investi...
- Health & MedicineOpen access
Food environment (FE) density may influence cardiometabolic indices (CI), but findings remain inconsistent across anthropometric indices, lipid profiles, blood pressure, and glucose levels, while evidence from low- and middle-income countries remains limited. Therefore, this stud...
- BiologyOpen access
AbstractA growing body of work uses deep learning to classify EEG recordings into categories corresponding to different consumer preferences. A key issue is its generalizability to new consumers who were not included in the development of the model. To investigate this question,...
- Society & EconomicsOpen access
Hemodialysis patients often experience chronic stress, leading to psychological challenges such as difficulty in emotion regulation and reduced resilience. Emotional schema therapy may offer an effective strategy to address these issues. This study investigated the impact of an e...
- BiologyOpen access
AbstractA growing body of work uses deep learning to classify EEG recordings into categories corresponding to different consumer preferences. A key issue is its generalizability to new consumers who were not included in the development of the model. To investigate this question,...
- Health & MedicineOpen access
Objectives: This pilot study explored the prevalence of low bone mineral density (BMD) and its correlation with clinical variables in postmenopausal Iranian women with degenerative lumbar spinal canal stenosis (DLSS). Methods: This is a cross-sectional pilot study of 40 postmenop...
- Materials & EnergyOpen access
This study reports the fabrication and systematic optimization of polyacrylonitrile (PAN) nanocomposites reinforced with multi-walled carbon nanotubes (MWCNTs) via the electrospinning process. The research focused on analyzing fiber diameter using Design Expert software and the T...
- Physics & SpaceOpen access
Hawking radiation from a semi-classical Schwarzschild black hole
Abstract This study investigates the evaporation process of a Schwarzschild black hole, incorporating quantum corrections arising from conformal anomaly and vacuum polarization. We show that these quantum corrections significantly modify the Hawking radiation and thermodynamic be...
- Health & Medicine
ABSTRACT Purpose To critically assess artificial intelligence (AI)‐based radiographic models for quantitative measurement, localization/detection, segmentation/keypoints, diagnostic classification, and severity or morphology assessment of peri‐implant marginal bone loss (MBL) and...
- Society & Economics
The impact of big data analytics on social and environmental innovation
Purpose Not only is paying attention to the environment the responsibility of all people, but organizations and businesses should also consider their environmental behavior. Advances in various industries and the use of new technologies have changed business activities and proces...