Acquired reactive perforating collagenosis secondary to Cabozantinib: A case report and literature review.

Acquired perforating dermatoses (APD) encompass a group of skin conditions distinguished by transepidermal elimination of dermal components. Acquired reactive perforating collagenosis (ARPC), a subtype of APD, has been reported most commonly in association with diabetes mellitus, chronic renal failure, and medications. In this report, we identify a novel case of ARPC secondary to Cabozantinib treatment.

Determining Clinical Disease Progression in Symptomatic Patients With CADASIL.

Background And Objectives: Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most frequent small artery brain disease caused by pathogenic variants of the NOTCH3 gene. During the disease, we still do not know how the various deficits progress and develop with each other at different stages of the disease. We aim to model disease progression and identify possible progressive subgroups and the effects of different covariates on clinical worsening.

Translation and validation of the Arabic version of Mindful Attention Awareness Scale (MAAS) among the Lebanese population.

This study aimed to evaluate the psychometric properties of the Arabic version of the MAAS (A-MAAS) among Lebanese adults, determine its reliability and validity, and explore its associated factors. A cross-sectional study was conducted from August to December 2023. A sample of 483 Lebanese adults, aged between 18 and 60 years, from all the Lebanese governorates completed a questionnaire consisting of three sections: socio-demographic characteristics, health-related questions, and the Arabic versions of the Mindful Attention Awareness Scale (A-MAAS) and the Positive and Negative Affect Schedule (PANAS).

Improved facial emotion recognition model based on a novel deep convolutional structure.

Facial Emotion Recognition (FER) is a very challenging task due to the varying nature of facial expressions, occlusions, illumination, pose variations, cultural and gender differences, and many other aspects that cause a drastic degradation in quality of facial images. In this paper, an anti-aliased deep convolution network (AA-DCN) model has been developed and proposed to explore how anti-aliasing can increase and improve recognition fidelity of facial emotions. The AA-DCN model detects eight distinct emotions from image data.

On the Valorization of Olive Oil Pomace: A Sustainable Approach for Methylene Blue Removal from Aqueous Media.

Currently, industrial water pollution represents a significant global challenge, with the potential to adversely impact human health and the integrity of ecosystems. The continuous increase in global consumption has resulted in an exponential rise in the use of dyes, which have become one of the major water pollutants, causing significant environmental impacts. In order to address these concerns, a number of wastewater treatment methods have been developed, with a particular focus on physicochemical approaches, such as adsorption.