Publications by authors named "Ali Hashemi"

Tissue deterioration and post-injury infections are the primary cause of skin diseases. Tissue engineering has developed various synthetic and natural polymers to generate bioactive scaffolds that can closely replicate the natural extracellular matrix (ECM). Decellularized tissues have emerged as a potential solution for reconstructing cutaneous lesions due to their ability to preserve the intricate protein structure and provide essential functional domains for cellular differentiation.

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causes challenging infections in immunocompromised patients, exhibiting increasing resistance to multiple antimicrobials and possessing various virulence genes, including emerging resistance to trimethoprim-sulfamethoxazole. A total of 80 clinical isolates of were collected from multiple hospitals in Tehran, Iran. This study conducted an analysis of antibiotic susceptibility by disc diffusion method and -test assay, resistance and virulence gene frequencies were examined by PCR-sequencing, and multilocus sequencing typing (MLST) was performed for strain typing.

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This study aimed to do a comprehensive systematic review on the comparison of digital and conventional workflows regarding prosthetic outcomes, accuracy of implant impressions, framework passivity and fit, and clinical fabrication of multi-unit implant-supported fixed restorations. The EMBASE, PubMed, Scopus, and Cochrane Library databases were searched for relevant articles published up until April 2020. No in-vivo article was found to compare full digital and conventional workflows regarding the accuracy of implant impressions, passivity and fit of frameworks, and prosthetic outcomes.

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Drug resistance has become a matter of great concern, with many bacteria now resist multiple antibiotics. This study depicts the occurrence of antibiotic-resistant bacteria (ARB) and resistance patterns in five full-scale hospital wastewater treatment plants (WWTPs). Samples of raw influent wastewater, as well as pre- and post-disinfected effluents, were monitored for targeted ARB and resistance genes in September 2022 and February 2023.

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Aim: Metal nanoclusters are emerging nanomaterials applicable for drug delivery. Here, the toxicity and oxidative stress induction of divalent cationic cadmium (Cd) was compared with a Cd in the form of nanocluster. Then, it was used for targeted drug delivery into breast cancer cell lines.

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Background: Diabetes Mellitus, a global health challenge, affects 537 million individuals. Traditional management relies on periodic clinic visits, but technological advancements, including remote monitoring, offer transformative changes. Telemedicine enhances access, convenience, adherence, and glycemic control.

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Aim: Emerging anti-obesity pharmacotherapy provides an option to correct maladaptive physiological and hormonal changes associated with obesity. One of the widely used medications in this context is glucagon-like peptide 1 (GLP-1) agonists. However, the misuse of these medications without any guidance and monitoring of lifestyle modifications can lead to unfavorable outcomes.

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Practice on perceptual tasks can lead to long-lasting, stimulus-specific improvements. Rapid stimulus-specific learning, assessed 24 hours after practice, has been found with just 105 practice trials in a face identification task. However, a much longer time course for stimulus-specific learning has been found in other tasks.

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An ideal antibacterial wound dressing with strong antibacterial behavior versus highly drug-resistant bacteria and great wound-healing capacity is still being developed. There is a clinical requirement to progress the current clinical cares that fail to fully restore the skin structure due to post-wound infections. Here, we aim to introduce a novel two-layer wound dressing using decellularized bovine skin (DBS) tissue and antibacterial nanofibers to design a bioactive scaffold with bio-mimicking the native extracellular matrix of both dermis and epidermis.

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Background: The incidence of complications and mortality associated with () bloodstream infections has been increasing significantly, particularly in developing countries where control strategies against this virulent pathogen and its resistance to antibacterial agents are insufficient. The aim of this study was to investigate coagulase typing, the prevalence of toxin genes, and the antibiotic resistance profile of isolated from bloodstream infections.

Methods: Antibiotic susceptibility of the isolates was determined by the disk diffusion method.

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Aims: Diabetes is a pressing global health issue, demanding innovative strategies for improved treatment. However, traditional care often falls short of patient goals. To address this, digital health solutions, including smartphone apps and remote monitoring, have emerged as crucial in diabetes management.

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The abstract which complements proposals, articles, and dissertations, is a remarkable convention in scientific studies since it creates access for readers and authors to read or publish studies or articles. Research abstracts (RA) function as the gateway to view an article, journals' selection for contributions, and for conferences to accept or reject articles (Lores, 2004) In this study, we aimed to investigate the preferences of writers in 160 PhD dissertation abstracts, encompassing both male and female native and non-native authors, across various fields of study, both in the hard and soft sciences. Our primary objective was to discern the writers' inclinations towards utilizing specific linguistic resources, as proposed by Martin and White's Appraisal theory (2005), to convey their positions and engage with the perspectives articulated by their peers.

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Antibiotic resistance, a major global concern, highlights the need for discovering alternative therapies. Recently, endolysins have garnered attention as antibacterial tools with a lower resistance development rate compared to conventional antibiotics, and their production in various expression hosts holds significance. Given its generally recognized as safe (GRAS) status and other advantages, Hansenula polymorpha offers a promising host for endolysin production.

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A method is introduced for the automated analysis of reactivity exploration for extended in silico databases of transition-metal catalysts. The proposed workflow is designed to tackle two key challenges for bias-free mechanistic explorations on large databases of catalysts: (1) automated exploration of the chemical space around each catalyst with unique structural and chemical features and (2) automated analysis of the resulting large chemical data sets. To address these challenges, we have extended the application of our previously developed ReNeGate method for bias-free reactivity exploration and implemented an automated analysis procedure to identify the classes of reactivity patterns within specific catalyst groups.

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Objectives: Today, () is a major opportunistic pathogen among hospitalized or immunocompromised patients. Antibiotic-resistant clinical isolates are increasing in several parts of the world. Various antibiotic-resistance and biofilm-forming genes are identified in this bacterium.

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The world is presently in crisis facing an outbreak of a health-threatening microorganism known as COVID-19, responsible for causing uncommon viral pneumonia in humans. The virus was first reported in Wuhan, China, in early December 2019, and it quickly became a global concern due to the pandemic. Challenges in this regard have been compounded by the emergence of several variants such as B.

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Bacterial infection is a life-threatening situation, and its rapid diagnosis is essential for treatment. Apart from medical applications, rapid identification of bacteria is vital in the food industry or the public health system. There are various bacterial identification techniques, including molecular-based methods, immunological approaches, and biosensor-based procedures.

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Persistence cells comprise a subpopulation of bacteria that is resistant to treatment. In this study, the role of the toxin-antitoxin (TA) system in the formation of persistence cells of isolates was investigated. After confirming all isolates, TA systems abkBA, mqsRA and higBA were identified.

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Extensively drug-resistant Acinetobacter baumannii is considered one of the most dangerous threats to global health, requiring novel therapeutic interventions. The outer membrane protein A (OmpA) is an immunogenic agent that triggers immune responses. The current study evaluated serum antibody levels against previously determined immunogenic OmpA peptides from A baumannii in ICU staff.

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Reconstructing complex brain source activity at a high spatiotemporal resolution from magnetoencephalography (MEG) or electroencephalography (EEG) remains a challenging problem. Adaptive beamformers are routinely deployed for this imaging domain using the sample data covariance. However adaptive beamformers have long been hindered by 1) high degree of correlation between multiple brain sources, and 2) interference and noise embedded in sensor measurements.

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Drowsy drivers cause the most car accidents thus, adopting an efficient drowsiness detection system can alert the driver promptly and precisely which will reduce the numbers of accidents and also save a lot of money. This paper discusses many tactics and methods for drowsy driving warning. The non-intrusive nature of most of the strategies mentioned and contrasted means both vehicular and behavioural techniques are examined here.

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Article Synopsis
  • S. maltophilia is a difficult-to-treat opportunistic pathogen primarily affecting immunocompromised patients and those with extended hospital stays due to its extensive antibiotic resistance.
  • A systematic review analyzed 223 studies to assess antibiotic resistance patterns, revealing significant global resistance, especially to levofloxacin, TMP/SMX, and minocycline.
  • The study highlights a concerning prevalence of TMP/SMX resistance, particularly in Asia, prompting a call for improved management of antibiotic treatments to prevent multidrug-resistant infections.
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The current study assessed the detection of virulence genes and drug resistance among isolates from Iran. During 2018 to 2020, 52 isolates were obtained from patients at Iran hospitals. By disk diffusion method, the antimicrobial susceptibility of isolates was assessed, and ESBL-producing isolates were detected by CDDT method.

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