Risk of atherosclerosis-related diseases in polymyositis and dermatomyositis patients: A large-scale population-based study.

Background And Aims: Several systemic autoimmune diseases predispose to the enhancement of Atherosclerotic Cardiovascular Disease (ASCVD). These findings underline the role of inflammation in atherogenesis. Dermatomyositis (DM) and polymyositis (PM) are polygenic autoimmune disorders involving mainly skeletal muscles.

Machine learning outperforms humans in microplastic characterization and reveals human labelling errors in FTIR data.

Microplastics are ubiquitous and appear to be harmful, however, the full extent to which these inflict harm has not been fully elucidated. Analysing environmental sample data is challenging, as the complexity in real data makes both automated and manual analysis either unreliable or time-consuming. To address challenges, we explored a dense feed-forward neural network (DNN) for classifying Fourier transform infrared (FTIR) spectroscopic data.

Therapeutic impacts of recalling and processing positive autobiographical memories on posttrauma health: An open-label study.

The processing of positive memories technique (PPMT) entails detailed narration and processing of specific positive autobiographical memories (AM) and has shown promise in improving posttraumatic stress disorder (PTSD) symptoms. We examined whether participants receiving PPMT reported decreases in PTSD and depressive symptom severity, negative affect levels/reactivity, posttrauma cognitions, and positive emotion dysregulation, as well as increases in positive affect levels/reactivity and the number of retrieved positive AMs across four PPMT sessions. Individuals (N = 70) recruited from the community completed surveys at baseline (pre-PPMT), each PPMT session, and after completing all four PPMT sessions.

Bernoulli trial under subsystem restarts: Two competing searchers looking for a target.

We study a pair of independent searchers competing for a target under restarts and find that introduction of restarts tends to enhance the search efficiency of an already efficient searcher. As a result, the difference between the search probabilities of the individual searchers increases when the system is subject to restarts. This result holds true independent of the identity of individual searchers or the specific details of the distribution of restart times.

Morbidity and Mortality of Drowning Children in Jerusalem District - Retrospective Analysis.

Background: Drowning persists as a preventable pediatric cause of severe morbidity and mortality. This study aims to investigate the risk factors, circumstances, and medical consequences associated with pediatric drowning incidents in order to identify patterns that can inform targeted interventions.

Methods: This was a retrospective analysis of a cohort of pediatric drowning cases.

Treatment outcomes in adult patients experiencing dental anxiety: A comparative retrospective study.

Aims: To assess and compare the effectiveness of pharmacological and cognitive-behavioral modalities-behavioral methods (BM), nitrous oxide inhalation sedation (NOIS), and premedication with Diazepam-for alleviating anxiety during dental treatment, using completed treatment sessions and adverse outcomes as indicators.

Methods And Results: For 239 patients (515 dental records), 18-53 y/o, who underwent dental treatments under anxiety reduction measures, sessions under NOIS were categorized as "nitrous group" (456 sessions) versus premedication with Diazepam or behavioral strategies (control, 59 sessions). Outcomes were completed treatment sessions considering demographic and clinical parameters, and adverse outcomes during and between sessions.

Reduced Theta Inter-Trial Phase Coherence in Error Processing: A Marker of Neural Dysfunction in Attention Deficit Hyperactivity Disorder.

Cognitive control deficits and increased intra-subject variability have been well established as core characteristics of attention deficit hyperactivity disorder (ADHD), and there is a growing interest in their expression at the neural level. We aimed to study neural variability in ADHD, as reflected in theta inter-trial phase coherence (ITC) during error processing, a process that involves cognitive control. We examined both traditional event-related potential (ERP) measures of error processing (i.

Diagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models.

Objective: Whereas a scalp electroencephalogram (EEG) is important for diagnosing epilepsy, a single routine EEG is limited in its diagnostic value. Only a small percentage of routine EEGs show interictal epileptiform discharges (IEDs) and overall misdiagnosis rates of epilepsy are 20% to 30%. We aim to demonstrate how network properties in EEG recordings can be used to improve the speed and accuracy differentiating epilepsy from mimics, such as functional seizures - even in the absence of IEDs.

Association of Epicardial Adipose Tissue and Ventricular Arrhythmias in Patients With Nonischemic Cardiomyopathy.

Background: Risk stratification for sudden cardiac death (SCD) in patients with nonischemic cardiomyopathy (NICM) remains challenging.

Objectives: This study aimed to investigate the impact of epicardial adipose tissue (EAT) on SCD in NICM patients.

Methods: Our study cohort included 173 consecutive patients (age 53 ± 14 years, 73% men) scheduled for primary prevention implantable cardioverter-defibrillators (ICDs) implantation who underwent preimplant cardiovascular magnetic resonance.

Rheumatic Heart Disease Burden in Africa and the Need to Build Robust Infrastructure.

Rheumatic heart disease (RHD) is an important public health problem in Africa. Mapping the epidemiology of RHD involves elucidating its geographic distribution, temporal trends, and demographic characteristics. The prevalence of RHD in Africa varies widely, with estimates ranging from 2.

Spectrally encoded flow cytometry using few-mode fiber collection.

In fiber-based confocal microscopy, using two separate fibers for illumination and collection enables the use of a few-mode fiber to achieve an effect similar to opening the pinhole in a conventional confocal microscope. In some Fourier-domain applications, however, or when a spectral measurement is involved, the coherent light detection would lead to noticeable spectral modulation artifacts that result from differential mode delay, an effect caused by the multimode propagation in the collection fiber. After eliminating these artifacts by using mode-dependent polarization control, we demonstrate effective spectrally encoded imaging with improved signal efficiency and lower speckle noise, and only a minor, negligible reduction in lateral and axial resolutions.

IMPACT: In-Memory ComPuting Architecture based on Y-FlAsh Technology for Coalesced Tsetlin machine inference.

The increasing demand for processing large volumes of data for machine learning (ML) models has pushed data bandwidth requirements beyond the capability of traditional von Neumann architecture. In-memory computing (IMC) has recently emerged as a promising solution to address this gap by enabling distributed data storage and processing at the micro-architectural level, significantly reducing both latency and energy. In this article, we present In-Memory comPuting architecture based on Y-FlAsh technology for Coalesced Tsetlin machine inference (IMPACT), underpinned on a cutting-edge memory device, Y-Flash, fabricated on a 180 nm complementary metal oxide semiconductor (CMOS) process.

Siblings of individuals with intellectual and developmental disability: Relations between involvement, personal resources, loneliness, and their adjustment.

Background: The study examined relations between a number of variables regarding typically-developing adult siblings of individuals with intellectual and developmental disability: involvement in the lives of their siblings with disability, personal resources (self-efficacy and sense of coherence), loneliness, and adjustment.

Method: Participants included 99 siblings of individuals with intellectual and developmental disabilities who completed questionnaires examining involvement, personal resources (self-efficacy and sense of coherence), loneliness, and adjustment.

Results: Results indicated that siblings who are more involved and perceive their efficacy and coherence as higher and loneliness as lower, experience higher levels of mental wellbeing and lower levels of mental distress.

trans-2-Octenal controls Fusarium oxysporum f. sp. lycopersici, the causal agent of tomato wilt in vitro, in soil and in the field.

Background: Fungal plant diseases cause major crop losses. Phytopathogenic fungi's ability to evolve resistance to fungicides, alongside ongoing prohibition of such agents by the European Commission because of their pronounced adverse effects on human health and the environment, make their control a challenge. Moreover, the development of less perilous fungicides is a complex task.

Cholangioblastic Cholangiocarcinoma (NIPBL::NACC1 cholangiocarcinoma): Expanded Morphologic Spectrum and Further Genetic Characterization.

The cholangioblastic variant of intrahepatic cholangiocarcinoma is a distinctive neoplasm that typically affects young women without underlying liver disease. Morphologically, it demonstrates solid, trabecular, and tubulocystic architecture, biphasic small cell-large cell cytology, and immunoreactivity for inhibin, neuroendocrine markers, and biliary but not hepatocellular markers. In 2021, our group identified a characteristic NIPBL::NACC1 gene fusion in cholangioblastic cholangiocarcinoma, and since then ~20 genetically confirmed cases have been reported in the literature.

Stabilizing Contorted Doubly-Reduced Tetraphenylene with Heavy Alkali Metal Complexation: Crystallographic and Theoretical Evidence.

The two-fold reduction of tetrabenzo[a,c,e,g]cyclooctatetraene (TBCOT, or tetraphenylene, 1) with K, Rb, and Cs metals reveals a distinctive core transformation pathway: a newly formed C-C bond converts the central eight-membered ring into a twisted core with two fused five-membered rings. This C-C bond of 1.589(3)-1.

DeepDrug as an expert guided and AI driven drug repurposing methodology for selecting the lead combination of drugs for Alzheimer's disease.

Alzheimer's Disease (AD) significantly aggravates human dignity and quality of life. While newly approved amyloid immunotherapy has been reported, effective AD drugs remain to be identified. Here, we propose a novel AI-driven drug-repurposing method, DeepDrug, to identify a lead combination of approved drugs to treat AD patients.

Genome-Wide Screening in Haploid Stem Cells Reveals Synthetic Lethality Targeting MLH1 and TP53 Deficient Tumours.

Synthetic lethality is defined as a type of genetic interaction where the combination of two genetic events results in cell death, whereas each of them separately does not. Synthetic lethality can be a useful tool in personalised oncology. MLH1 is a cancer-related gene that has a central role in DNA mismatch-repair and TP53 is the most frequently mutated gene in cancer.