Characterization and application of polysaccharides produced by Pseudomonas atacamensis M7D1 for chromium (III) removal from tannery effluent.

The wastewater from various industries contaminated with heavy metals poses significant environmental challenges. Biosorption has emerged as a widely used method for removing heavy metals from industrial wastewater. Pseudomonas atacamensis M7D1 is known to produce polysaccharides, but the potential of its polysaccharides as an adsorbent for heavy metal removal still needs to be explored.

Investigating papillary thyroid cancer risk factors among women living at the central region of Iran: a case-control study.

Background: The etiology of thyroid cancer especially in women in not well recognized in Yazd, at the center of Iran. The aim of present study was to investigate the risk factors of thyroid cancer among women living in this province.

Methods: The present study was carried out as a case-control study, comprising women diagnosed with papillary thyroid cancer (PTC) as the case group, along with two distinct control groups sourced from different origins (i.

Role of gamma irradiation and disaccharide trehalose to induce immune responses in Syrian hamster model against Iranian SARS-CoV-2 virus isolate.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus is the causative agent of the emerging zoonotic respiratory disease. One of the most important prerequisites for combating emerging diseases is the development of vaccines within a short period of time. In this study, antigen-irradiated, inactivated SARS-CoV-2 viruses and the disaccharide trehalose were used to enhance immune responses in the Syrian hamster.

Impact of chia seed protein hydrolysate and apple pomace pectin on the properties of egg-free mayonnaise.

This study investigates the properties of egg-free mayonnaise prepared using chia seed protein hydrolysate (CSPH) and pectin extracted from apple pomace (PA) as alternatives to egg, comparing it to traditional egg-based mayonnaise. Chia seed protein was hydrolyzed using Protamex and Bromelain enzymes, while apple pectin was extracted through acid hydrolysis at 90 °C. Four mayonnaise treatments were prepared: T1 (control: 6 % egg), T2 (4 % egg + 1 % CSPH + 1 % PA), T3 (2 % egg + 2 % CSPH + 2 % PA), and T4 (0 % egg + 3 % CSPH + 3 % PA).

Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases.

: The accurate and early distinction of glioblastomas (GBMs) from single brain metastases (BMs) provides a window of opportunity for reframing treatment strategies enabling optimal and timely therapeutic interventions. We sought to leverage physiologically sensitive parameters derived from diffusion tensor imaging (DTI) and dynamic susceptibility contrast (DSC)-perfusion-weighted imaging (PWI) along with machine learning-based methods to distinguish GBMs from single BMs. : Patients with histopathology-confirmed GBMs ( = 62) and BMs ( = 26) and exhibiting contrast-enhancing regions (CERs) underwent 3T anatomical imaging, DTI and DSC-PWI prior to treatment.