After the meeting held by the Spanish Contact Dermatitis and Skin Allergy Research Group (GEIDAC) back in October 2021, changes were suggested to the Spanish Standard Series patch testing. Hydroxyethyl methacrylate (2% pet.), textile dye mixt (6.6% pet.), linalool hydroperoxide (1% pet.), and limonene hydroperoxide (0.3% pet.) were, then, added to the series that agreed upon in 2016. Ethyldiamine and phenoxyethanol were excluded. Methyldibromoglutaronitrile, the mixture of sesquiterpene lactones, and hydroxyisohexyl 3-cyclohexene (Lyral) were also added to the extended Spanish series of 2022.
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http://dx.doi.org/10.1016/j.ad.2024.05.018 | DOI Listing |
Background Cosmetics have become an integral part of the contemporary lifestyle. Contact dermatitis (CD) is an inflammatory skin disease resulting from exposure to an external chemical present in cosmetics. A patch test is considered the criterion standard method for detecting CD.
View Article and Find Full Text PDFContact Dermatitis
January 2025
Clinic of Dermatology, University Hospital and Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
Background: Since its inception in 1980, the MOHL index (% patients who are male, have occupational, hand, or leg dermatitis, respectively) and its later evolutions until the presently used MOAHLFA(P) index (adding % patients with atopic dermatitis, face dermatitis, age 40+ years and positive reaction(s) to ≥ 1 baseline series allergen) have been intended to convey important demographic and clinical information on the patients patch tested in a certain area and time, aiding the interpretation of the observed spectrum of sensitisation.
Objectives: To examine the current usage of the MOAHLFA(P) index and suggest consolidated definitions for its single items.
Methods: A title/abstract search in Medline identified publications mentioning the evolving acronyms.
Sci Rep
January 2025
Computer Science, Université du Québec à Montréal, Montreal, Canada.
Transformer based models for time-series forecasting have shown promising performance and during the past few years different Transformer variants have been proposed in time-series forecasting domain. However, most of the existing methods, mainly represent the time-series from a single scale, making it challenging to capture various time granularities or ignore inter-series correlations between the series which might lead to inaccurate forecasts. In this paper, we address the above mentioned shortcomings and propose a Transformer based model which integrates multi-scale patch-wise temporal modeling and channel-wise representation.
View Article and Find Full Text PDFPhysiol Meas
January 2025
University of Duisburg-Essen, Bismarckstr. 81 (BB), Duisburg, 47057, GERMANY.
Objective: In recent years, wearable devices such as smartwatches and smart patches have revolutionized biosignal acquisition and analysis, particularly for monitoring electrocardiography (ECG). However, the limited power supply of these devices often precludes real-time data analysis on the patch itself.
Approach: This paper introduces a novel Python package, tinyHLS (High Level Synthesis), designed
to address these challenges by converting Python-based AI models into platform-independent hardware description language (HDL) code accelerators.
J Vis
January 2025
Laboratoire des Systèmes Perceptifs, Département d'études cognitives, École normale supérieure, PSL University, France.
Visual perception has been described as a dynamic process where incoming visual information is combined with what has been seen before to form the current percept. Such a process can result in multiple visual aftereffects that can be attractive toward or repulsive away from past visual stimulation. A lot of research has been conducted on what functional role the mechanisms that produce these aftereffects may play.
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