The effect of a course of resistance training with calcium plus vitamin D supplementation on the level of growth factor beta 1(TGF-ß1) and high-sensitive C reactive protein (hs-CRP)

Start Date20 Jan 2025

Sponsor / Collaborator

University of Sistan and Baluchestan

IRCT20211201053244N2

/ CompletedNot Applicable

The effect of a course of rehabilitation exercises combined with blood flow restriction on pain, function, and muscle electrical activity in patients with patellofemoral pain syndrome.

Start Date05 Dec 2024

Sponsor / Collaborator

University of Sistan and Baluchestan

IRCT20240622062207N1

/ RecruitingNot Applicable

The effect of resistance training with and without blood flow restriction on the serum levels of Aspersion and TNF-a in patients with type2 diabetes

Start Date03 Jul 2024

Sponsor / Collaborator

University of Sistan and Baluchestan

100 Clinical Results associated with University of Sistan and Baluchestan

0 Patents (Medical) associated with University of Sistan and Baluchestan

5,400

Literatures (Medical) associated with University of Sistan and Baluchestan

01 Apr 2025·Colloids and Surfaces B: Biointerfaces

Super hydrophilic and super oleophobic carbon nanotube/TiO2 composite membranes for efficient separation of algal-derived oil/water emulsions

Article

Author: Shokrollahzadeh, Soheila ; Ahmadi, Ali ; Ashori, Alireza ; Samimi, Abdolreza

The separation of oil from microalgae aqueous emulsions is a critical step in producing algal-derived biofuels and nutraceuticals. This study presents the development of super hydrophilic and super oleophobic composite membranes to efficiently separate algal oil from oil/water emulsions. Carbon nanotubes (CNTs) were functionalized with polydopamine (PDA), polyethylene glycol (PEG), and titanium dioxide (TiO₂) nanoparticles and coated onto a mixed cellulose ester (MCE) substrate to fabricate the composite membranes. Two distinct incorporation methods were employed for TiO_2; direct nanoparticle incorporation and surface coating onto the CNT/PDA network. The membranes were comprehensively characterized using FTIR, SEM, EDS, contact angle measurements, and AFM analysis. The synthesized MCE@CNT/PDA/NP-TiO₂ membrane exhibited super hydrophilicity with a water contact angle of 6.3° and underwater super oleophobicity with oil contact angles up to 172°. Membrane performance evaluation using a Nannochloropsis salina microalgae oil/water emulsion revealed excellent flux up to 9238 L m^-2 h^-1 bar^-1 and oil rejection as high as 98.6 % for the TiO₂-incorporated membranes. Additionally, these membranes demonstrated superior antifouling properties, maintaining over 90 % of initial flux even after five separation cycles. Incorporating TiO₂ nanoparticles significantly enhanced the membrane's hydrophilicity, oleophobicity, antifouling capability, and stability under extreme pH conditions. The developed composite membranes show great potential for efficient and cost-effective separation of algal oil from microalgae cultivation systems.

01 Mar 2025·Journal of Medical Mycology

Thymol inhibits ergosterol biosynthesis in Nakaseomyces glabratus, but differently from azole antifungals

Article

Author: Lagzian, Milad ; Saravani, Abolfazl ; Abastabar, Mahdi ; Parsay, Shima ; Asmiteh, Fatemeh ; Valadan, Reza ; Shokohi, Tahereh ; Moazeni, Maryam ; Hedayati, Mohammad Taghi

INTRODUCTIONNakaseomyces glabratus is considered a high priority of attention according to WHO, and also is an important yeast species due to its high rate of intrinsic/acquired resistance against fluconazole. This study aimed at the possible mechanisms of action of thymol, as the promising new antifungal agent, in N. glabratus.METHODSThirty previously identified N. glabratus isolates were selected for investigation of the thymol susceptibility pattern. The antifungal susceptibility test was performed according to the Clinical and Laboratory Standards protocol published as M27-A2 document. Likely changes in the expression pattern of genes involved in the ergosterol biosynthesis pathway were assessed by Real-time PCR assay. The ultrastructure characteristics of thymol-treated yeasts and also the possible interactive proteins, as targets for thymol binding, were performed by transmission electron microscopy (TEM) and reverse molecular docking, respectively.RESULTSMinimum inhibitory concentrations ranged between 32-128 µg/mL which were statistically significant between the fluconazole-susceptible and fluconazole-resistant yeast group (P<0. 05). TEM observation results showed that thymol led to peripheral vacuole formation which refers to plasma membrane damage and cell membrane separation from the cell wall. Thymol exhibits antifungal activity against N. glabratus by regulating multiple signaling pathways including ergosterol biosynthesis (ERG1) and HOG (high-osmolarity glycerol) MAPK (mitogen-activated protein kinase) pathways. In consistence with the yielded gene expression patterns, docking evaluation findings also revealed the high affinity of thymol with proteins related to the ERG1 gene. Accordingly, thymol's high affinity to chitin synthase and calcineurin subunit B was noteworthy.CONCLUSIONThymol might employ its antifungal effect by involving different pathways comprising ergosterol biosynthesis inhibition but not identical to the azole drugs. It is highly suggested that thymol ruins cell membrane function by decreasing the ergosterol/or chitin content. However, studying more ergosterol biosynthesis-related genes and also the yeast apoptotic responses is highly recommended for future investigations.

01 Feb 2025·Optics & Laser Technology

Chirped apodized fiber Bragg gratings inverse design via deep learning

Author: Ali Mansouri-Birjandi, Mohammad ; Adibnia, Ehsan ; Ghadrdan, Majid

Overcoming inverse design problems in fiber Bragg gratings (FBGs) can be challenging due to the significant nonlinearity of the problem and the intricate relationship between structural properties and optical characteristics.Here, we present a novel artificial intelligence-based approach that effectively addresses these challenges.We introduce a methodol. centered on applying deep learning (DL) to estimate the reflective spectrum of FBGs.The results highlight DL's exceptional capability in designing chirped apodized FBGs, with our model demonstrating significantly enhanced computational efficiency relative to traditional numerical simulations.Notably, our DL-based approach exhibits the remarkable ability to tackle the inverse design challenges of FBGs, thereby eliminating the reliance on trial-and-error or empirical methodologies.The predictive losses for both the forward and inverse models are impressively minimal, with low loss values of 2.2 x 10^-2 and 1.6 x 10^-2, resp.The FBG configurations derived via DL are ideally suited for optical communications, heralding significant advancements in all-optical signal processing.

100 Deals associated with University of Sistan and Baluchestan

100 Translational Medicine associated with University of Sistan and Baluchestan

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