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Overlapping Systemic Proteins in COVID-19 and Lung Fibrosis Associated with Tissue Remodeling and Inflammation

Background/Objectives: A novel patient group with chronic pulmonary fibrosis is emerging post COVID-19. To identify patients at risk of developing post-COVID-19 lung fibrosis, we here aimed to identify systemic proteins that overlap with fibrotic markers identified in patients with idiopathic pulmonary fibrosis (IPF) and may predict COVID-19-induced lung fibrosis. Methods: Ninety-two proteins we

Spontaneous hepatic hemorrhage as presentation of metastasized papillary thyroid carcinoma : a case report

Background: Spontaneous hepatic hemorrhage is a rare condition, most commonly diagnosed in patients with hepatocellular carcinoma or hepatic adenomas, and is seldom caused by metastatic disease. In this case report, we present a patient with spontaneous hepatic hemorrhage due to hepatic metastasis of papillary thyroid carcinoma, an exceptionally rare occurrence. Case presentation: The patient was

Incidence and outcomes of kidney replacement therapy for end-stage kidney disease due to primary glomerular disease in Europe : findings from the ERA Registry

Background. Primary glomerular disease (PGD) is a major cause of end-stage kidney disease (ESKD) leading to kidney replacement therapy (KRT). We aimed to describe incidence (trends) in individuals starting KRT for ESKD due to PGD and to examine their survival and causes of death. Methods. We used data from the European Renal Association (ERA) Registry on 69 854 patients who started KRT for ESKD du

Histopathology-validated gross tumor volume delineations of intraprostatic lesions using PSMA-positron emission tomography/multiparametric magnetic resonance imaging

Background and purpose: Dose escalation in external radiotherapy of prostate cancer shows promising results in terms of biochemical disease-free survival. Boost volume delineation guidelines are sparse which may cause high interobserver variability. The aim of this research was to characterize gross tumor volume (GTV) delineations based on multiparametric magnetic resonance imaging (mpMRI) and pro

Combination of Anti-CD40 and Anti-CD40L Antibodies as Co-Stimulation Blockade in Preclinical Cardiac Xenotransplantation

The blockade of the CD40/CD40L immune checkpoint is considered essential for cardiac xenotransplantation. However, it is still unclear which single antibody directed against CD40 or CD40L (CD154), or which combination of antibodies, is better at preventing organ rejection. For example, the high doses of antibody administered in previous experiments might not be feasible for the treatment of humans

Josephson effect in a Fibonacci quasicrystal

Quasiperiodicity has recently been proposed to enhance superconductivity and its proximity effect. Simultaneously, there has been significant experimental progress in the fabrication of quasiperiodic structures, including in reduced dimensions. Motivated by these developments, we use microscopic tight-binding theory to investigate the DC Josephson effect through a ballistic Fibonacci chain attache

Environmental sustainability from a decoupling point perspective

Combatting climate change is of global importance. The fact that all UN member nations have agreed on the sustainable development goals (SDGs) is testament to this. The manufacturing industry plays a crucial part in meeting these goals. However, if manufacturing firms are to improve in terms of sustainability, such efforts must be reconcilable with their ability to make profit. Hence, sustainabili

Bivalirudin vs Heparin Anticoagulation in STEMI : Confirmation of the BRIGHT-4 Results

Background: In the BRIGHT-4 (Bivalirudin With Prolonged Full-Dose Infusion During Primary PCI Versus Heparin Trial-4), anticoagulation with bivalirudin plus a 2- to 4-hour high-dose infusion after percutaneous coronary intervention (PCI) reduced all-cause mortality and bleeding without increasing reinfarction or stent thrombosis compared with heparin alone in patients with ST-segment elevation myo

Compressive Strength Prediction of Lightweight Concrete : Machine Learning Models

Concrete is the most commonly used construction material. The physical properties of concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre-reinforced concrete, polymer-modified concrete, and lightweight concrete. The precise prediction of the properties of concrete is a problem due to the design code, which typically requires specific characteristics. The em

Machine Learning-Based CO2Prediction for Office Room : A Pilot Study

Air pollution is increasing profusely in Indian cities as well as throughout the world, and it poses a major threat to climate as well as the health of all living things. Air pollution is the reason behind degraded indoor air quality (IAQ) in urban buildings. Carbon dioxide (CO2) is the main contributor to indoor pollution as humans themselves are one of the generating sources of this pollutant. T

In situ imaging of precipitate formation in additively manufactured al-alloys by scanning X-ray fluorescence

Al-alloys incorporating Mn, Cr and Zr, tailored for powder bed fusion-laser beam processes with solubilities three times equilibrium have recently been developed that yield a high strength. Mn and Cr-enriched precipitates that form during printing and heat treatment influence the material’s mechanical properties hence making it important to understand their kinetics. In this study, direct imaging

Image restoration using a fuzzy-based median filter and modified firefly optimization algorithm

This paper presented an object restoration approach in which images are influenced by the salt & pepper noise replaced by a median filter based on fuzzy logic. A Modified Firefly Optimization Algorithm (MFOA) is used to restore the images based on the Richardson-Lucy algorithm. Denoising, as well as restoring the image, is effectively demonstrated. Compared to current denoising filtered, PSO (

Composition of Giants 1° North of the Galactic Center : Detailed Abundance Trends for 21 Elements Observed with IGRINS

We report the first high-resolution, detailed abundances of 21 elements for giants in the Galactic bulge/bar within 1° of the Galactic plane, where high extinction has rendered such studies challenging. Our high-signal-to-noise-ratio and high-resolution, near-infrared spectra of seven M giants in the inner bulge, located at (l, b) = (0°, +1°), are observed using the IGRINS spectrograph. We report

Application of Internet of Things in Image Processing

Image processing and IoT technology use various sensors and camera-based sensors for processing image data with help of a variety of IoT applications. So far, the IoT and image processing concepts have been used for our real-life applications. Their individual use in the sphere of industries is possible and has had some success. However, a combination of the two technologies has yet to be develope

An Optimized Neuro-Bee Algorithm Approach to Predict the FRP-Concrete Bond Strength of RC Beams

Over the world, there is growing worry about the corrosion of reinforced concrete structures. Structure repair, rehabilitation, replacement, and new structures all require cost-effective and long-lasting technologies. Fiber Reinforced Polymer (FRP) has been widely employed in both retrofitting existing structures and building new ones. Due to its varied qualities in reinforced concrete and masonry

Development of correlation to predict the efficiency of a hydro machine under different operating conditions

The global energy demand is increasing due to an increase in economic growth and urbanization which is set to rise by 4.6% in 2021. A major part of this increasing energy demand is accomplished by fossil fuels which create environmental pollution. Hydropower is the most mature, reliable, and cost-effective source of energy. However, the operation and maintenance (O&M) of hydro turbines is the

Prediction of FRCM–Concrete Bond Strength with Machine Learning Approach

Fibre-reinforced cement mortar (FRCM) has been widely utilised for the repair and restora-tion of building structures. The bond strength between FRCM and concrete typically takes precedence over the mechanical parameters. However, the bond behaviour of the FRCM–concrete interface is complex. Due to several failure modes, the prediction of bond strength is difficult to forecast. In this paper, effe

Modified median filter for image denoising

The retrieval of the original image quality is always a challenging task in the area of image processing. A huge number of techniques were used to denoising the image. A new approach is proposed for eliminating salt and paper noise. The methodology suggested is based on a different median filter applied. This paper describe the methodology and logical notations of purposed technique and finally im

Dimensions of Internet of Things : Technological Taxonomy Architecture Applications and Open Challenges-A Systematic Review

We are traversing the growing emerging technology paradigms in today's advanced technological world. In this present era, the Internet of Things (IoT) is extensively used in all sectors. IoT is the ecosystem of smart devices which contains sensors, smart objects, networking, and processing units. These integrated devices provide better services to the end user. IoT is impacting our environment and