Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review.

Civil infrastructure assets' contribution to countries' economic growth is significantly increasing due to the rapid population growth and demands for public services. These civil infrastructures, including roads, bridges, railways, tunnels, dams, residential complexes, and commercial buildings, experience significant deterioration from the surrounding harsh environment. Traditional methods of visual inspection and non-destructive tests are generally undertaken to monitor and evaluate the structural health of the infrastructure.

Enabling Low-Dose In Vivo Benchtop X-ray Fluorescence Computed Tomography through Deep-Learning-Based Denoising.

X-ray Fluorescence Computed Tomography (XFCT) is an emerging non-invasive imaging technique providing high-resolution molecular-level data. However, increased sensitivity with current benchtop X-ray sources comes at the cost of high radiation exposure. Artificial Intelligence (AI), particularly deep learning (DL), has revolutionized medical imaging by delivering high-quality images in the presence of noise.

Impact of protectants and the method of preservation on the stability of potentially probiotic bacteria.

Probiotics offer health advantages when consumed in adequate quantities. As ongoing research identifies promising new strains, ensuring their viability and functionality through simple preservation methods is vital for success within the probiotic industry. This study employed a factorial design to investigate the combined effects of four cryoprotectants [C1: MRS broth + 14 % (w/v) glycerol, C2: Aqueous solution containing 4 % (w/v) trehalose, 6 % (w/v) skimmed milk, and 4 % (w/v) sodium glutamate, C3: Aqueous solution containing 10 % (w/v) skimmed milk and 4 % (w/v) sodium glutamate, C4: Aqueous solution containing 4 % (w/v) sucrose, 6 % (w/v) skimmed milk, and 4 % (w/v) sodium glutamate] and three methods of preservation (P1: -86 °C freezing, P2: -196 °C liquid nitrogen freezing, and P3: storing at 4 °C after lyophilization) on the cell viability of three potentially probiotic strains over 12 months.

Design, synthesis, and spectroscopic profiling of novel coumarin dyes: Investigating solvent sensitivity and photophysical properties.

Coumarin dyes are highly versatile and widely employed as fluorescent chemosensors in a variety of fields, including molecular imaging, bioorganic chemistry, analytical chemistry, materials chemistry, biology, and medical science. Thanks to their outstanding photostability and high quantum yield, they represent an ideal choice for developing sensitive and selective sensing platforms. In this study, we successfully designed and synthesized four new dyes based on the coumarin dye molecular skeleton, investigating their solvent sensitivity and spectroscopic properties.

A Deep Learning Approach for Surface Crack Classification and Segmentation in Unmanned Aerial Vehicle Assisted Infrastructure Inspections.

Surface crack detection is an integral part of infrastructure health surveys. This work presents a transformative shift towards rapid and reliable data collection capabilities, dramatically reducing the time spent on inspecting infrastructures. Two unmanned aerial vehicles (UAVs) were deployed, enabling the capturing of images simultaneously for efficient coverage of the structure.

Attitude and Belief of Healthcare Professionals Towards Effective Obesity Care and Perception of Barriers; An Updated Systematic Review and Meta-analysis.

Background: Obesity is a serious chronic disease that adversely affects health and quality of life. However, a significant percentage of people do not participate in or adhere to weight loss programs. Therefore, a multidisciplinary approach is needed to identify critical barriers to effective obesity management and to examine health practitioners' attitudes and behaviors towards effective obesity treatment.

Whole-exome sequencing uncovers a novel EFEMP2 gene variant (c.C247T) associated with dominant nonsyndromic thoracic aortic aneurysm.

Background: Thoracic aortic aneurysm (TAA) is a multifactorial disorder. Familial TAA, which is more clinically aggressive, is associated with a high risk of lethal dissection or rupture. Genetic evaluation can provide TAA patients with personalized treatment and help in predicting risk to family members.

Multi-class Tissue Segmentation of CT images using an Ensemble Deep Learning method.

Microwave ablation (MWA) therapy is a well-known technique for locally destroying lung tumors with the help of computed tomography (CT) images. However, tumor recurrence occurs because of insufficient ablation of the tumor. In order to perform an accurate treatment of lung cancer, there is a demand to determine the tumor area precisely.

Role of SARS-COV-2 and ACE2 in the pathophysiology of peripheral vascular diseases.

The occurrence of a novel coronavirus known as severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), created a serious challenge worldwide. SARS-CoV-2 has high infectivity, the ability to be transmitted even during the asymptomatic phase, and relatively low virulence, which has resulted in rapid transmission. SARS-CoV-2 can invade epithelial cells, hence, many patients infected with SARS-CoV-2 have suffered from vascular diseases (VDs) in addition to pulmonary manifestations.

A novel sinusoidal design for an electrocoagulation reactor followed by an electro-Fenton reaction and a porous ceramic filter for the treatment of polluted waters.

In this research work, a novel design of an electro-Fenton reactor for the treatment of polluted water was investigated. In addition to the reactor with iron electrodes, a ceramic filter was also used. An electrical circuit was designed to change the cathodes and anodes every 24 s via an electrical relay between the electrodes.

Photon bound state dynamics from a single artificial atom.

The interaction between photons and a single two-level atom constitutes a fundamental paradigm in quantum physics. The nonlinearity provided by the atom leads to a strong dependence of the light-matter interface on the number of photons interacting with the two-level system within its emission lifetime. This nonlinearity unveils strongly correlated quasiparticles known as photon bound states, giving rise to key physical processes such as stimulated emission and soliton propagation.

Nanoporous hydrogel absorbent based on salep: Swelling behavior and methyl orange adsorption capacity.

This study used the gas-blowing method to develop a nanoporous hydrogel using poly (3-sulfopropyl acrylate-co-acrylic acid-co-acrylamide) grafted onto salep. The synthesis of the nanoporous hydrogel was optimized by various parameters for maximum swelling capacity. The nanoporous hydrogel was characterized using FT-IR, TGA, XRD, TEM, and SEM analyses.

The effect of EMPAgliflozin on markers of inflammation in patients with concomitant type 2 diabetes mellitus and Coronary ARtery Disease: the EMPA-CARD randomized controlled trial.

Systemic inflammation and oxidative burden in patients with type 2 diabetes mellitus (T2DM) causes deleterious cardiovascular outcomes. We sought to investigate the clinical antioxidative and anti-inflammatory effects of empagliflozin. Platelet function, oxidant and antioxidant biomarkers and pro-inflammatory agents at baseline and at 26 weeks were measured.

Antibacterial and anti-trichomunas characteristics of local landraces of Lawsonia inermis L.

Background: Henna (Lawsonia inermis) with anti-bacterial properties has been widely used in traditional medicine especially Persian medicine. Henna oil is suggested for diseases of infectious origin, such as cervical ulcers. Group B Streptococcus agalactiae, Pseudomonas aeruginosa and, Trichomonas vaginalis are involved in the infection of women especially cervicitis.

Capability of novel fluorescence DNA-conjugated CdTe/ZnS quantum dots nanoprobe for COVID-19 sensing.

Urgent identification of COVID-19 in infected patients is highly important nowadays. Förster or fluorescence resonance energy transfer (FRET) is a powerful and sensitive method for nanosensing applications, and quantum dots are essential materials in FRET-based nanosensors. The QDs are conjugated to DNA or RNA and used in many applications.

Antibacterial and anti-Trichomonas Vaginalis effects of Rosa Damascena mill petal oil (a persian medicine product), aqueous and hydroalcoholic extracts.

Background: Oils in traditional medicine are important products and used routinely for therapeutic purposes. Rose oil (Rosa damascene Mill), a product of Persian medicine, is advised for the treatment of Infectious diseases related to the female genitourinary tract. In the present study, R.

Unraveling Two-Photon Entanglement via the Squeezing Spectrum of Light Traveling through Nanofiber-Coupled Atoms.

We observe that a weak guided light field transmitted through an ensemble of atoms coupled to an optical nanofiber exhibits quadrature squeezing. From the measured squeezing spectrum we gain direct access to the phase and amplitude of the energy-time entangled part of the two-photon wave function which arises from the strongly correlated transport of photons through the ensemble. For small atomic ensembles we observe a spectrum close to the line shape of the atomic transition, while sidebands are observed for sufficiently large ensembles, in agreement with our theoretical predictions.

Energy relaxation of quantum dot hot electrons in hybrid quantum dot-Bose-Einstein condensate system.

The theory of electron energy relaxation in a hybrid structure consisting of quantum dot interacting with a two dimensional exciton gas in Bose-Einstein condensate (BEC) regime is developed. A new type of the relaxation mechanism in the presence of BEC is introduced and theoretically analyzed. It is shown that, in the first order of electron-exciton interaction, two microscopic processes of energy relaxation appear.

Elastic backscattering of edge electrons and light absorption on a smooth edge of a 2D topological insulator.

2D topological insulator edge states are considered within the Volkov-Pankratov Hamiltonian. A smooth transition between a topological and ordinary insulator is assumed. The edge states are formed in the total gap of homogeneous 2D material.

Depinar, a drug that potentially inhibits the binding and entry of COVID-19 into host cells based on computer-aided studies.

Background And Purpose: The new coronavirus (Covid-19) has resulted in great global concerns. Due to the mortality of this virus, scientists from all over the world have been trying to employ different strategies to tackle down this concern. This virus enters cells phagocytosis through binding to the angiotensin-converting enzyme II receptor.

Outcomes of acromioclavicular joint dislocation using tightrope arthroscopy.

Background: Based on different treatment outcomes and different treatment methods for acromioclavicular dislocation, we decided to evaluate the treatment outcomes of acromioclavicular joint dislocation using tightrope arthroscopy.

Methods: This retrospective cross-sectional study was performed on patients with acromioclavicular joint dislocation referred to Alzahra Hospital in Isfahan and Abadan-Iran from 2015 to 2017. Information that was assessed included age, sex, type of dislocation (Figure 1), duration of injury, cause of injury, complications such as osteoarthritis, changes in the distance between the joints, as well as the American Shoulder and Elbow Surgeons Shoulder Score (ASES) were collected after 6 months of surgery.

Outcomes of patients with humerus fracture under treatment with PHILOS plate.

Background: Based on the contradictory results about the effect of an intramedullary nail in the treatment of humeral shaft fracture, in this study, we aim to evaluate the outcomes of patients with humeral fracture treated with PHILOS plaque.

Methods: In this cross-sectional study, which was performed to evaluate the recovery rate of patients with humeral fracture treated with PHILOS plaque referred to Shahid Beheshti Hospital in Abadan-Iran during 2015-2019. Constant Shoulder Score was evaluated six months and one year after the operation.

Frequency of Multi-Drug Resistance and Molecular Characteristics of Resistance to Colistin in Collected from Patients in Intensive Care Units with Ventilator-Associated Pneumonia.

Background: is one of the most common causes of ventilator-associated pneumonia (VAP) in patients hospitalized in ICU. Multiple resistance has resulted in excessive use of Colistin antibiotic, which is the latest treatment option for this bacterium. Therefore, the purpose of this study was to determine the abundance of multi-resistance and molecular characteristics of resistance to colistin among isolated from patients that are infected with VAP and hospitalized in ICU of "Qazvin" and "Masih Daneshvari" hospitals.

Novel CMC-CdTe / ZnS QDs Nanosensor for the Detection of Anticancer Drug Epirubicin.

Epirubicin (EPI) is one of the standard anticancer drugs that apply for various cancers treatment. However, the accumulation of EPI in the human body can be highly toxic, and it causes inevitable harm to organs. As a result, the evaluation of low concentrations of this drug in body samples requires sensitive, rapid, and accurate analysis methods.

Stable gene selection by self-representation method in fuzzy sample classification.

In recent years, microarray technology and gene expression profiles have been widely used to detect, predict, or classify the samples of various diseases. The presence of large genes in these profiles and the small number of samples are known challenges in this field and are widely considered in previous papers. In previous studies, other topics such as the noise of microarray data or the dependence of selected genes on samples have been less considered.