Damping Optimization and Energy Absorption of Mechanical Metamaterials for Enhanced Vibration Control Applications: A Critical Review.

Metamaterials are pushing the limits of traditional materials and are fascinating frontiers in scientific innovation. Mechanical metamaterials (MMs) are a category of metamaterials that display properties and performances that cannot be realized in conventional materials. Exploring the mechanical properties and various aspects of vibration and damping control is becoming a crucial research area.

Correction: Nascimben et al. Extracellular Vesicle Protein Expression in Doped Bioactive Glasses: Further Insights Applying Anomaly Detection. 2024, , 3560.

In the original publication [...

Biomarkers of Intrathecal Synthesis May Be Associated with Cognitive Impairment at MS Diagnosis.

The pathophysiology of cognitive impairment (CI) in multiple sclerosis (MS) remains unclear. Meningeal B cell aggregates may contribute to cortical grey matter pathology. Cerebrospinal fluid (CSF), kappa free light chains (KFLC), and KFLCs-Index (kappa-Index) are reliable quantitative markers of intrathecal synthesis, but few data have been presented exploring the association with CI, and no data are present for lambda FLC (LFLC) in MS.

COVID-19: Lessons Learned from Molecular and Clinical Research.

SARS-CoV-2 virus, the etiological agent of the novel coronavirus disease 19 (COVID-19), was first identified in late 2019, following the sudden appearance of a cluster of pneumonia cases of unknown origin in China [...

Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It.

Artificial intelligence (AI) has recently made unprecedented contributions in every walk of life, but it has not been able to work its way into diagnostic medicine and standard clinical practice yet. Although data scientists, researchers, and medical experts have been working in the direction of designing and developing computer aided diagnosis (CAD) tools to serve as assistants to doctors, their large-scale adoption and integration into the healthcare system still seems far-fetched. Diagnostic radiology is no exception.

Risk of Colonization with Multidrug-Resistant Gram-Negative Bacteria Among Travellers and Migrants: A Narrative Review.

Globalization in the 21st century has posed several challenges. In particular, the spread of multidrug-resistant bacterial strains, especially Gram-negative bacteria, which are prevalent in certain regions of the world, is one of the most critical issues. This raises concerns about the risks associated with the booming tourism industry and migratory flows.

Deep learning analyses of splicing variants identify the link of PCP4 with amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is a severe motor neuron disease, with most sporadic cases lacking clear genetic causes. Abnormal pre-mRNA splicing is a fundamental mechanism in neurodegenerative diseases. For example, TAR DNA-binding protein 43 (TDP-43) loss-of-function (LOF) causes widespread RNA mis-splicing events in ALS.

Role of Virtual iMRI in Glioblastoma Surgery: Advantages, Limitations, and Correlation with iCT and Brain Shift.

: Elastic image fusion (EIF) using an intraoperative CT (iCT) scan may enhance neuronavigation accuracy and compensate for brain shift. : To evaluate the safety and reliability of the EIF algorithm (Virtual iMRI Cranial 4.5, Brainlab AG, Munich Germany, for the identification of residual tumour in glioblastoma surgery.

Novel enhancement strategy for Hg adsorption in wastewater: Nonthermal plasma-mediated advanced modification of zero-valent iron-carbon galvanic cells with thiol functionalization.

Mercury (Hg) pollution poses a critical threat to human health and the environment, necessitating urgent control measures. This study introduces a novel modification method for the common zero-valent iron-carbon (ZVI-AC) galvanic cells using a two-step process, nonthermal (NTP) irradiation followed by targeted functionalization, aiming to enhance Hg adsorption potential by adjusting the physicochemical properties of the cells. The NTP irradiated functionalized adsorbent demonstrated superior Hg adsorption performance across various concentrations and pH variations.

The regulatory mechanism controlling nitrification inhibitors-induced mitigation of nitrification and NO-N leaching in alkaline purple soil.

Nitrification inhibitors (NIs) are critical to reduce nitrogen (N) leaching losses. However, the efficacy of different NIs can be highly variable across soils and crop types, and a deeper understanding of the mechanistic basis of this efficiency variation, especially in purple soil under vegetable production, is lacking. To enrich this knowledge gap, the impact of different NIs amendment (3,4-dimethylpyrazole phosphate, DMPP; dicyandiamide, DCD; nitrapyrin, NP) on nitrification and the microbial mechanistic basis of controlling nitrate (NO-N) leaching of vegetable purple soil was explored in southwest China.

Activity and stability origin of core-shell catalysts: unignorable atomic diffusion behavior.

The exceptional oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) performances of core-shell catalysts are well documented, yet their activity and durability origins have been interpreted only based on the static structures. Herein we employ a NiFe alloy coated with a nitrogen-doped graphene-based carbon shell (NiFe@NC) as a model system to elucidate the active structure and stability mechanism for the ORR and OER by combining constant potential computations, molecular dynamic simulations, and experiments. The results reveal that the synergistic effects between the alloy core and carbon shell facilitate the formation of Fe-N-C active sites and replenish metal sites when central metal atoms detach.

Design of a 3D emotion mapping model for visual feature analysis using improved Gaussian mixture models.

Given the integration of color emotion space information from multiple feature sources in multimodal recognition systems, effectively fusing this information presents a significant challenge. This article proposes a three-dimensional (3D) color-emotion space visual feature extraction model for multimodal data integration based on an improved Gaussian mixture model to address these issues. Unlike traditional methods, which often struggle with redundant information and high model complexity, our approach optimizes feature fusion by employing entropy and visual feature sequences.

Multimodal consumer choice prediction using EEG signals and eye tracking.

Marketing plays a vital role in the success of a business, driving customer engagement, brand recognition, and revenue growth. Neuromarketing adds depth to this by employing insights into consumer behavior through brain activity and emotional responses to create more effective marketing strategies. Electroencephalogram (EEG) has typically been utilized by researchers for neuromarketing, whereas Eye Tracking (ET) has remained unexplored.

New biomarkers in scorpion stings.

Scorpion stings have a fatality rate of 0.16%, with the majority of deaths occurring in children. The resources currently available for diagnosing cardiac dysfunction caused by scorpion stings, the most common cause of death, are echocardiograms and laboratory tests, such as troponin, creatine phosphokinase-MB (CKMB), and Brain natriuretic peptide (BNP).

Forms and correlates of child maltreatment among autistic children involved in child protection services.

Background: Child maltreatment is a significant social problem impacting both health and society, with severe and enduring consequences. Certain children, such as those with neurodevelopmental conditions like autism, may be more at risk of experiencing maltreatment. However, little research has examined the characteristics of these children.

Mechanically Resilient and Highly Efficient Flexible Perovskite Solar Cells with Octylammonium Acetate for Surface Adhesion and Stress Relief.

Flexible perovskite solar cells (FPSCs) have advanced significantly because of their excellent power-per-weight performance and affordable manufacturing costs. The unsatisfactory efficiency and mechanical stability of FPSCs are bottleneck challenges that limit their application. Here, we explore the use of octylammonium acetate (OAAc) with a long, intrinsic, flexible molecular chain on perovskite films for surface adhesion and mechanical releasing.

Engineering Polar Vortices via Strain Soliton Interactions in Marginally Twisted Multilayer Graphene.

Strain solitons have been widely observed in van der Waals materials and their heterostructures. They can manifest as one-dimensional (1D) wires and quasi-two-dimensional (2D) networks. However, their coexistence within the same region has rarely been observed, and their interplay remains unexplored.

Predicting few disinfection byproducts in the water distribution systems using machine learning models.

Concerns regarding disinfection byproducts (DBPs) in drinking water persist, with measurements in water treatment plants (WTPs) being relatively easier than those in water distribution systems (WDSs) due to accessibility challenges, especially during adverse weather conditions. Machine learning (ML) models offer improved predictions of DBPs in WDSs. This study developed multiple ML models to predict Trihalomethanes (THMs), Haloacetic Acids (HAAs), Dichloroacetonitrile (DCAN), and N-nitrosodimethylamine (NDMA) in WDSs using data collected over 13 years (2008-2020) from 113 water supply systems (WSS) in Ontario.

Ensemble Model Approach for Predicting the Yield of Dehydrogenation Products during the Oxidative Dehydrogenation of -Butane.

Efficient and selective oxidative dehydrogenation (ODH) catalysts are crucial to advance the production of valuable petrochemicals. In this study, we leverage the power of machine learning to predict dehydrogenation (DH) product yield and unravel the factors influencing the product distribution. A comprehensive data set obtained from experiments conducted in a fixed-bed reactor under varying temperatures, feed ratios (O/-butane), and metal oxide loadings (Ni, Fe, Co, Bi, Mo, W, Zn, and Mn) on an aluminum oxide support served as the basis for model development.

Impairment of the T cell memory response in chronic lymphocytic leukemia patients after SARS-CoV-2 vaccination.

CLL patients face increased vulnerability to COVID-19 because of weakened immune systems from comorbidities and treatments. Therefore, the need for these patients of vaccination is of outermost importance. In our study we have evaluated T cell-mediated responses to COVID19 vaccines by performing the activation-induced markers (AIM) assay which allows to determine spike-specific CD4+ and CD8+ T cell responses.

Co-occurring Change in Electronic Nicotine Delivery System (ENDS) and Cigarette Harm Perceptions and Use in Young Adults.

Introduction: Use of electronic nicotine delivery systems (ENDS) may contribute to cigarette use and nicotine addiction by shifting perceptions and norms around tobacco, but little is known about whether or how ENDS use and norms are related to cigarette use and norms, particularly among young adults. This study tested two potential mechanisms by which END use may facilitate cigarette use: decreasing tobacco harm perceptions (desensitization) and increasing favorability of tobacco use (renormalization).

Method: Analyses included data from 2187 young adults in a longitudinal panel who reported any ENDS or combustible cigarette use at ages 21, 23, or 26.

Effect of tire pyrolysis oil and graphene oxide nanoparticles as an additive in the diesel engine.

The majority of industries throughout the world rely largely on fossil fuels as their primary energy source. However, these resources are finite and become scarcer by the day. Therefore, exploring alternative fuels and additives for diesel fuel is imperative to mitigate fuel consumption.

Combining in vitro, in vivo, and in silico approaches to evaluate the effect of serotonergic-based topical therapies on mild to moderate psoriasis.

Psoriasis, a chronic inflammatory skin disease, poses a significant burden on patients' quality of life and healthcare systems. While mild-to-moderate cases are treated topically, usually combined with phototherapy, severe cases require systemic treatment with immunosuppressants, retinoids or biologics. However, all available treatments have drawbacks in terms of efficiency and side effects.

Energy-exergy and environ-economic (4E) analysis of heat storage-based single-slope solar stills integrated with solar air heater.

The energy-exergy and environ-economic (4E) analysis was conducted on a solar still with and without a hybrid thermal energy storage system (TESS) and a solar air heater. The proposed solar still was modified by integrating a rectangular aluminium box filled with paraffin wax and black gravel as the TESS and coupled with a solar air heater. Paraffin wax was selected due to its widespread availability and proven effectiveness in accelerating desalination, improving process uniformity, and maintaining optimal temperature levels.

Utilization of refuse-derived fuel in industrial applications: Insights from Uttar Pradesh, India.

Urbanization and population growth in India have quickened, leading to an annual generation of around 62 million tonnes of municipal solid waste (MSW). Improper management of organic waste presents a major environmental problem due to air and water pollution, soil contamination and greenhouse gas production. This research aims to develop refuse-derived fuel (RDF) as a viable option, converting waste into a high-calorific energy carrier for industrial use.