The efficacy and safety of ginger (Zingiber officinale) rhizome extract in outpatients with COVID-19: A randomized double-blind placebo-control clinical trial.

Background: Ginger, a potent antiviral, anti-inflammatory, and antioxidant remedy, is a potential therapeutic option for COVID-19. However, there was not enough clinical evidence about ginger and COVID-19. We evaluated the efficacy and safety of ginger on clinical and paraclinical features in outpatients with COVID-19.

Efficacy and safety of deferoxamine in moderately ill COVID-19 patients: An open label, randomized controlled trial.

Background: Deferoxamine is a potent iron chelator that could remove iron from the virus, and severe acute respiratory syndrome coronavirus 2 requires iron to replication. Also, deferoxamine has antioxidant and cytokine-modulating effects. Therefore, we evaluated the efficacy and safety of deferoxamine in patients with moderate coronavirus disease 2019 (COVID-19).

The Protective Effect of N-acetylcysteine against Deltamethrin-Induced Hepatotoxicity in Mice.

Background: Exposure to pesticides is of concern to public health officials worldwide. Deltamethrin is a synthetic pyrethroid pesticide which is widely used in agriculture and veterinary medicine. Deltamethrin poisoning is always one of the concerns in medical centers due to the deltamethrin induced hepatotoxicity.

The Influence of Noise Exposure at Different Loudness Levels on EEG Index and Types of Attention.

Bachground: Noise is one of the most important harmful factors in the environment. There are limited studies on the effect of noise loudness on brain signals and attention. The main objective of this study was to investigate the relationship between exposure to different loudness levels with brain index, types of attention, and subjective evaluation.

Diverse activity of miR-150 in Tumor development: shedding light on the potential mechanisms.

There is a growing interest to understand the role and mechanism of action of microRNAs (miRNAs) in cancer. The miRNAs are defined as short non-coding RNAs (18-22nt) that regulate fundamental cellular processes through mRNA targeting in multicellular organisms. The miR-150 is one of the miRNAs that have a crucial role during tumor cell progression and metastasis.

Assessing the Risk of Secondary Cancer Induction in Radiosensitive Organs During Trigeminal Neuralgia Treatment With Gamma Knife Radiosurgery: Impact of Extracranial Dose.

Purpose: Gamma knife radiosurgery (GKRS) delivers high-dose external radiation to a small intracranial lesion. However, scattering and leaked radiation can deposit a portion of the dose outside the radiation field, which may pose a risk to radiation-sensitive patients, such as pregnant women. Trigeminal Neuralgia (TN) is treated with one of the highest GKRS doses (80-90 Gy).

[Prediction of renal transplantation outcome using artificial neural networks and investigating important risk factors].

Background: Renal Transplantation is the final choice for some patients with ESRD (End-Stage Renal Disease), but some transplantations suffer from acute or chronic rejection, so its very important to predict the outcome of transplantation.

Method: s. The dataset was extracted from records of 4572 patients with kidney transplantations.

Efficacy and safety of licorice (Glycyrrhiza glabra) in moderately ill patients with COVID-19: a randomized controlled trial.

Licorice extract (glycyrrhizin), a potent antiviral, anti-inflammatory, and antioxidant remedy, is a potential therapeutic option for COVID-19. We evaluated the efficacy and safety of licorice in patients with moderate COVID-19. In this study, 60 patients with confirmed COVID-19 were randomly assigned in a 1:1 ratio to receive licorice (at a dose of 760 mg three times a day for seven days) or control groups.

Rapid identification of bacteria by the pattern of redox reactions rate using 2',7'-dichlorodihydrofluorescein diacetate.

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.

On the Mechanical Behaviour of Biomimetic Cornstalk-Inspired Lightweight Structures.

This paper presents an investigation on the stiffness and energy absorption capabilities of three proposed biomimetic structures based on the internal architecture of a cornstalk. 3D printing was used to manufacture specimens using a tough and impact-resistant thermoplastic material, acrylonitrile butadiene styrene (ABS). The structural stiffness, maximum stress, densification strain, and energy absorption were extracted from the compression tests performed at a strain rate of 10 s.

Skin Cancer Detection Based on Deep Learning.

Background: The conventional procedure of skin-related disease detection is a visual inspection by a dermatologist or a primary care clinician, using a dermatoscope. The suspected patients with early signs of skin cancer are referred for biopsy and histopathological examination to ensure the correct diagnosis and the best treatment. Recent advancements in deep convolutional neural networks (CNNs) have achieved excellent performance in automated skin cancer classification with accuracy similar to that of dermatologists.

Efficacy and safety of oral melatonin in patients with severe COVID-19: a randomized controlled trial.

Patients with COVID-19 have shown melatonin deficiency. We evaluated the efficacy and safety of administration oral melatonin in patients with COVID-19-induced pneumonia. Patients were randomly assigned in a 1:1 ratio to receive melatonin plus standard treatment or standard treatment alone.

Recent advances in atezolizumab-based programmed death-ligand 1 (PD-L1) blockade therapy for breast cancer.

Breast cancer, the most common cancer in women worldwide, is curable in ∼ 70-80 % of patients with early-stage, non-metastatic disorder. However, advanced breast cancer with distant organ metastases is incurable with available therapeutics. Thus, scientists have sought emerging strategies for treating metastatic breast cancers.

Compression of EMG Signals Using Deep Convolutional Autoencoders.

Efficient storage and transmission of electromyogram (EMG) data are important for emerging applications such as telemedicine and big data, as a vital tool for further advancement of the field. However, due to limitations in internet speed and hardware resources, transmission and storage of EMG data are challenging. As a solution, this work proposes a new method for EMG data compression using deep convolutional autoencoders (CAE).

Contribution to the Ophioninae (Hymenoptera: Ichneumonidae) of Iran with the description of 16 new species and an illustrated key to the Eremotylus of the Western Palaearctic.

In this study, material of Iranian Ophioninae was examined. In total, 63 species are recognized as occurring in Iran. Sixteen species are described as new to science: Enicospilus amerii Johansson sp.

Association of Toll-like receptors 4 (TLR-4) gene expression and polymorphisms in patients with severe asthma.

Innate immunity plays a central role in the pathogenesis of severe asthma, and it is closely linked to elevated IgE and Toll-like receptor 4 (TLR-4) levels. However, there is a scarcity of information about the association of the TLR-4 receptor polymorphism in the pathogenesis of severe asthma. This study highlights the level of gene expression of different alleles in asthmatic patients compared to healthy control individuals.

Evaluation of the effect of melatonin in patients with COVID-19-induced pneumonia admitted to the Intensive Care Unit: A structured summary of a study protocol for a randomized controlled trial.

Objectives: We investigate the effects of melatonin, compared to the usual therapeutic regimen on clinical symptoms and laboratory signs in severely ill patients with confirmed COVID-19 who are admitted to the Intensive Care Unit (ICU).

Trial Design: This is a single-center, open-label, randomized, clinical trial with a parallel-group design. This study is being conducted at Shahid Mohammadi Hospital, Bandar Abbas, Iran.

EMG-based Estimation of Wrist Motion Using Polynomial Models.

Background: Myoelectric control is a method of decoding the motor intent from the electromyogram (EMG) data and using the estimated intent to control prostheses and robots. This work investigates estimation of the wrist kinematics from EMG signals using polynomial models. Due to their low complexity, polynomial models are potentially the perfect choice for EMG-kinematics modeling.

A Curious Case of Pseudothrombocytopenia due to Agglutination.

Pseudothrombocytopenia (PTCP) is a laboratory phenomenon that can occur in hospitalized patients, with approximately 0.1 to 0.2% due to ethylenediaminetetraacetic acid (ETDA).

A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control.

An important barrier to commercialization of pattern recognition myoelectric control of prostheses is the lack of robustness to confounding factors such as electrode shift, skin impedance variations, and learning effects. To overcome this challenge, a novel supervised adaptation approach based on transfer learning (TL) with convolutional neural networks (CNNs) is proposed which requires only a short training session (a few seconds for each class) to recalibrate the system. TL is proposed as a solution to the problem of insufficient calibration data due to short training times for both classification and regression-based control schemes.