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.

Exploiting Micrometer-Scale Replication of Fungal Biotemplates for Multifunctional Uses in Electrochemistry and SERS Substrates.

In this paper, filamentous fungi have been used as biotemplates to integrate gold nanoparticles (Au-NPs) into the cell wall. A new chemical mechanism has been proposed to elucidate the assimilation of Au-NPs by fungi, considering the ionic current that arises in the function of fungal metabolism. After biological components were eliminated, mycelium-like gold microtubes have been obtained using different fungal species as precursors.

Unravelling large-scale patterns and drivers of biodiversity in dry rivers.

More than half of the world's rivers dry up periodically, but our understanding of the biological communities in dry riverbeds remains limited. Specifically, the roles of dispersal, environmental filtering and biotic interactions in driving biodiversity in dry rivers are poorly understood. Here, we conduct a large-scale coordinated survey of patterns and drivers of biodiversity in dry riverbeds.

Physics-informed machine learning algorithms for forecasting sediment yield: an analysis of physical consistency, sensitivity, and interpretability.

The sediment transport, involving the movement of the bedload and suspended sediment in the basins, is a critical environmental concern that worsens water scarcity and leads to degradation of land and its ecosystems. Machine learning (ML) algorithms have emerged as powerful tools for predicting sediment yield. However, their use by decision-makers can be attributed to concerns regarding their consistency with the involved physical processes.

Elaboration of an innovative plant biomaterial for its valorization in the treatment of wastewater.

The global scientific community is deeply concerned about the deterioration of water quality resulting from the release of industrial effluents. This issue is of utmost importance as it serves to safeguard the environment and combat water pollution. The objective of this work is to elaborate a biomaterial of vegetable origin, based on the twigs of Aleppo pine, and to use it as an abundant and less expensive material for the treatment of wastewater.

Psychometric properties of the Arabic version of the everyday memory questionnaire - revised (EMQ-R) among the Lebanese population.

This study aimed to evaluate the psychometric properties of the Arabic version of the Everyday Memory Questionnaire- Revised (EMQ-R-A) in a sample of Lebanese adults. A cross-sectional study was conducted in August 2023. A diverse sample of 483 Lebanese adults aged 18 to 60 years from all Lebanese governorates was recruited.

Analysis of Primary and Secondary Metabolites, Physical Properties, Antioxidant and Antidiabetic Activities, and Chemical Composition of Essential Oils under Differential Water Stress Conditions.

This study investigated the effects of varying water stress levels on essential oils (EO). Three samples (S1, S2, and S3) were cultivated under different stress levels (40, 60, and 80%). Increased water stress led to changes in primary and secondary metabolites, EO contents, and physical properties.

Self-Calibrated Laser-Induced Breakdown Spectroscopy for the Quantitative Elemental Analysis of Suspended Volcanic Ash.

Real-time analysis of fine ash in volcanic plumes, which represent magma fragments expelled from the crater during explosive eruptions, is a valuable tool for volcano monitoring and hazard assessment. To obtain the chemical characterization of the juvenile pyroclastic material emitted in volcanic plumes, many analytical techniques can be used. Among them, laser-induced breakdown spectroscopy (LIBS) is the one that can most easily be adapted to advanced applications in extreme environments.

Rectal Sedation With Ketamine and Midazolam in the Management of Uncooperative Children During Dental Treatment: A Case Series and Method Description.

Background In pediatric dentistry, sedation aims to eliminate anxiety to facilitate the completion of dental procedures. Sedation in children is a multidimensional field that includes the child, parents/guardians, and the health care team. The rectal route is generally painless, making it suitable for children who are afraid of needles.

Does lateral extra-articular tenodesis affect knee stability in cases with isolated anterior cruciate ligament reconstruction?

Objective: The purpose of this randomised controlled trial was to assess the effect on knee function and stabilising effectiveness of lateral extra-articular tenodesis (LET) in anterior cruciate ligament (ACL) restoration.

Methods: A prospective randomised clinical study that compared the functional outcomes of two groups-one undergoing anatomic single bundle ACL reconstruction (ASB-ACLR) with ilio-tibial band tenodesis (LET) for 20 patients, and the other undergoing ASB-ACLR-was carried out between February 2020 and August 2022.

Results: By combining Lateral Extra-articular Tenodesis (LET) with intra-articular Anterior Cruciate Ligament Reconstruction (ACLR), our study observed a significant reduction in the occurrence of high-grade pivot-shift phenomena.

Clinicopathologic Correlation of Large Gastric Polyps in an Elderly Female: Case Report and Review of the Literature.

Fundic gland polyps (FGPs) are benign epithelial polyps usually located in the gastric body and fundus. Here, we describe the case of an elderly woman who presented with symptomatic anemia, abdominal pain, and weight loss. There was also history of chronic use of proton pump inhibitors for the symptomatic treatment of dyspepsia.

Early remodeling and loss of light-induced dilation of retinal small arteries in CADASIL.

A major hurdle to therapeutic development in cerebral small vessel diseases is the lack of in-vivo method that can be used repeatedly for evaluating directly cerebral microvessels. We hypothesised that Adaptive Optics (AO), which allows resolution images up to 1-2 μm/pixel at retinal level, could provide a biomarker for monitoring vascular changes in CADASIL, a genetic form of such condition. In 98 patients and 35 healthy individuals, the wall to lumen ratio (WLR), outer and inner diameter, wall thickness and wall cross-sectional area were measured in a parapapillary and/or paramacular retinal artery.

Registration of preoperative temporal bone CT-scan to otoendoscopic video for augmented-reality based on convolutional neural networks.

Purpose: Patient-to-image registration is a preliminary step required in surgical navigation based on preoperative images. Human intervention and fiducial markers hamper this task as they are time-consuming and introduce potential errors. We aimed to develop a fully automatic 2D registration system for augmented reality in ear surgery.

Layer engineering in optoelectronic and photonic properties of single and few layer phosphorene using first-principles calculations.

Developing devices for optoelectronic and photonic applications-based nanomaterials has been one of the most critical challenges in the last decade. In this work, we use first-principles density functional theory combined with non-equilibrium Green's function to highlight for the first time the sensitivity of optoelectronic and photonic properties toward the exfoliation process. All the studied structures were relaxed and their relevant phonon modes confirm the high structural stability.

Simulating high-pressure surface reactions with molecular beams.

Using a reactive molecular beam with high kinetic energy (), it is possible to speed gas-surface reactions involving high activation barriers (), which would require elevated pressures () if a random gas with a Maxwell-Boltzmann distribution is used. By simply computing the number of molecules that overcome the activation barrier in a random gas at and in a molecular beam at = , we establish an - equivalence curve, through which we postulate that molecular beams are ideal tools to investigate gas-surface reactions that involve high activation energies. In particular, we foresee the use of molecular beams to simulate gas surface reactions within the industrial-range (>10 bar) using surface-sensitive ultra-high vacuum (UHV) techniques, such as X-ray photoemission spectroscopy (XPS).

Impact of Climate Change on the Chemical Compositions and Antioxidant Activity of L.

A central position in Moroccan ethnobotany is held by the genus, serving as a vital reference for aromatic and medicinal plants within the Lamiaceae family. The profound importance of species in the daily lives of Moroccans is recognized, and the primary objective of this study is to assess the impact of rising temperatures and decreasing precipitation on the primary and secondary metabolites of under the following climatic conditions: sample 1, cultivated under standard temperature and precipitation conditions during the first year; sample 2, subjected to an 8 °C temperature increase and a 25% reduction in water supply; and sample 3, exposed to a 12 °C temperature rise and a 50% decrease in water availability. Phytochemical screening results reveal a progressive decline in primary metabolites from sample 1 to sample 3 due to the increase in temperature and decrease in precipitation.

The Influence of TiO Nanoparticles Morphologies on the Performance of Lithium-Ion Batteries.

Anode materials based on the TiO nanoparticles of different morphologies were prepared using the hydrothermal method and characterized by various techniques, such as X-ray diffraction (XRD), field-emission scanning electron microscopy (FE-SEM), and N absorption. The TiO nanoparticles prepared were used as anode materials for lithium-ion batteries (LIBs), and their electrochemical properties were tested using discharging/charging measurements. The results showed that the initial morphology of the nanoparticles plays a minor role in battery performance after the first few cycles and that better capacity was achieved for TiO nanobelt morphology.