Psoriasis severity assessment: Optimizing diagnostic models with deep learning.

Psoriasis is a chronic skin condition with challenges in the accurate assessment of its severity due to subtle differences between severity levels. The aim of this study was to evaluate deep learning models for automated classification of psoriasis severity. A dataset containing 1,546 clinical images was subjected to pre-processing techniques, including cropping and applying noise reduction through median filtering.

Photocatalytic Methanol Dehydrogenation with Switchable Selectivity.

Switchable selectivity achieved by altering reaction conditions within the same photocatalytic system offers great advantages for sustainable chemical transformations and renewable energy conversion. In this study, we investigate an efficient photocatalytic methanol dehydrogenation with controlled selectivity by varying the concentration of nickel cocatalyst, using zinc indium sulfide nanocrystals as a semiconductor photocatalyst, which enables the production of either formaldehyde or ethylene glycol with high selectivity. Control experiments revealed that formaldehyde is initially generated and can either serve as a terminal product or intermediate in producing ethylene glycol, depending on the nickel concentration in the solution.

Enhanced Electrochemical Performance of Carbon-Composited CoO Microspheres as Anode Materials for Lithium-Ion Batteries.

Cobalt (II, III) oxide (CoO) has recently gained attention as an alternative anode material to commercial graphite in lithium-ion batteries (LIBs) due to its superior safety and large theoretical capacity of about 890 mAh g. However, its practical application is limited by poor electrical conductivity and rapid capacity degradation because of significant volume increases and structural strain during repeated lithiation/delithiation cycles. To address these issues, this work presents a novel approach to synthesizing carbon-composited CoO microspheres (CoO@C), using abietic acid (AA) as a carbon source to increase conductivity and structural stability.

Paneth-like cells disruption and intestinal dysbiosis in the development of enterocolitis in an iatrogenic rectosigmoid hypoganglionosis rat model.

Background: Hypoganglionosis resembles Hirschsprung disease (HSCR) which is characterized by severe constipation. Enterocolitis due to hypoganglionosis or Hirschsprung-associated enterocolitis (HAEC) is a life-threatening complication of both diseases. This study investigated the role of Paneth-like cells (PLCs) and gut microbiota in the development of enterocolitis in an iatrogenic rectosigmoid hypoganglionosis rat model.