Cost-Effectiveness Analysis of Daratumumab Monotherapy and Subsequent Therapies in Heavily Treated Relapsed/Refractory Multiple Myeloma: A Feasible Methodology using a Korean Nationwide Population Cohort.

Purpose: High-cost novel therapies for multiple myeloma (MM) require evaluation of efficacy and cost-effectiveness.

Materials And Methods: This study developed a methodology to assess cost-effectiveness using nationwide data from 11,450 newly diagnosed MM patients. A novel algorithm was applied to identify lines of therapy (LoT).

Cobalt Nitride-Implanted PtCo Intermetallic Nanocatalysts for Ultrahigh Fuel Cell Cathode Performance.

Stable and active oxygen reduction electrocatalysts are essential for practical fuel cells. Herein, we report a novel class of highly ordered platinum-cobalt (Pt-Co) alloys embedded with cobalt nitride. The intermetallic core-shell catalyst demonstrates an initial mass activity of 0.

Electronic structure modification of metal phthalocyanines by a carbon nanotube support for efficient oxygen reduction to hydrogen peroxide.

An active and selective two-electron oxygen reduction reaction (2e ORR) is required for efficient electrosynthesis of HO. This reaction can be promoted by metal phthalocyanines (MPcs), which serve as model catalysts with well-defined structures. MPc molecules have mostly been evaluated on conductive carbon-based substrates, including glassy carbon (GC) and carbon nanotubes (CNTs), yet their influence on the electrocatalytic properties is not well understood.

Physicochemical and sensory characteristics of gluten-free noodles added with chicken breast meat: a comparative study with wheat flour noodle.

The rising health consciousness of consumers has resulted in multiple studies on the use of animal and vegetable proteins in gluten-free noodle production, but chicken breast meat (CBM) has not been the subject of such studies. Thus, we aimed to create protein-fortified gluten-free noodles using economical and nutritious CBM and compare their quality attributes with commonly used wheat flour noodles (WN). Among the CBM noodles (CN), CN with tapioca starch (CN-T) showed the highest sensory and textural similarity to WN.

Data-driven discovery of electrocatalysts for CO reduction using active motifs-based machine learning.

The electrochemical carbon dioxide reduction reaction (CORR) is an attractive approach for mitigating CO emissions and generating value-added products. Consequently, discovery of promising CORR catalysts has become a crucial task, and machine learning (ML) has been utilized to accelerate catalyst discovery. However, current ML approaches are limited to exploring narrow chemical spaces and provide only fragmentary catalytic activity, even though CORR produces various chemicals.

Influence of Gas for Thermal Treatment on Hydrogen Permeation in V-Ni Alloy Membranes.

Hydrogen separation is an important step for the utilization of hydrogen energy. Metallic alloys, such as vanadium-nickel, are potential hydrogen separation materials. Due to the strong propensity of vanadium to form oxides and hydrides, vanadium alloy has a lower hydrogen permeability, and it is difficult to maintain the permeability over time.

Transition Metal Ion Doping on ZIF-8 Enhances the Electrochemical CO Reduction Reaction.

The electrochemical reduction of CO  to diverse value-added chemicals is a unique, environmentally friendly approach for curbing greenhouse gas emissions while addressing sluggish catalytic activity and low Faradaic efficiency (FE) of electrocatalysts. Here, zeolite-imidazolate-frameworks-8 (ZIF-8) containing various transition metal ions-Ni, Fe, and Cu-at varying concentrations upon doping are fabricated for the electrocatalytic CO reduction reaction (CO RR) to carbon monoxide (CO) without further processing. Atom coordination environments and theoretical electrocatalytic performance are scrutinized via X-ray absorption spectroscopy (XAS) and density functional theory (DFT) calculations.

-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition.

Facial expressions are divided into micro- and macro-expressions. Micro-expressions are low-intensity emotions presented for a short moment of about 0.25 s, whereas macro-expressions last up to 4 s.

SalfMix: A Novel Single Image-Based Data Augmentation Technique Using a Saliency Map.

Modern data augmentation strategies such as Cutout, Mixup, and CutMix, have achieved good performance in image recognition tasks. Particularly, the data augmentation approaches, such as Mixup and CutMix, that mix two images to generate a mixed training image, could generalize convolutional neural networks better than single image-based data augmentation approaches such as Cutout. We focus on the fact that the mixed image can improve generalization ability, and we wondered if it would be effective to apply it to a single image.

Increased hepatic Fatty Acid uptake and esterification contribute to tetracycline-induced steatosis in mice.

Tetracycline induces microvesicular steatosis, which has a poor long-term prognosis and a higher risk of steatohepatitis development compared with macrovesicular steatosis. Recent gene expression studies indicated that tetracycline treatment affects the expression of many genes associated with fatty acid transport and esterification. In this study, we investigated the role of fatty acid transport and esterification in tetracycline-induced steatosis.