5,144,703 results match your criteria: "United States; University of Maryland[Affiliation]"

Syllable as a Synchronization Mechanism That Makes Human Speech Possible.

Brain Sci

December 2024

Department of Speech, Hearing and Phonetic Sciences, Division of Psychology and Language Sciences, University College London, Chandler House 2 Wakefield Street, London WC1N 1PF, UK.

Speech is a highly skilled motor activity that shares a core problem with other motor skills: how to reduce the massive degrees of freedom (DOF) to the extent that the central nervous control and learning of complex motor movements become possible. It is hypothesized in this paper that a key solution to the DOF problem is to eliminate most of the temporal degrees of freedom by synchronizing concurrent movements, and that this is performed in speech through the syllable-a mechanism that synchronizes consonantal, vocalic, and laryngeal gestures. Under this hypothesis, syllable articulation is enabled by three basic mechanisms: target approximation, edge-synchronization, and tactile anchoring.

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Metagenomic Insights into Pollutants in Biorefinery and Dairy Wastewater: rDNA Dominance and Electricity Generation in Double Chamber Microbial Fuel Cells.

Bioengineering (Basel)

January 2025

Environmental Pollution and Remediation Research Group, Department of Chemical Engineering, Mangosuthu University of Technology, P.O. Box 12363, Jacobs 4062, South Africa.

This study evaluates the potential of biorefinery and dairy wastewater as substrates for electricity generation in double chamber Microbial Fuel Cells (DCMFC), focusing on their microbial taxonomy and electrochemical viability. Taxonomic analysis using 16S/18S rDNA-targeted DGGE and high-throughput sequencing identified Proteobacteria as dominant in biorefinery biomass, followed by Firmicutes and Bacteriodota. In dairy biomass, Lactobacillus (77.

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Alzheimer's disease (AD) represents a significant global health issue, affecting over 55 million individuals worldwide, with a progressive impact on cognitive and functional abilities. Early detection, particularly of mild cognitive impairment (MCI) as an indicator of potential AD onset, is crucial yet challenging, given the limitations of current diagnostic biomarkers and the need for non-invasive, accessible tools. This study aims to address these gaps by exploring driving performance as a novel, non-invasive biomarker for MCI detection.

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FundusNet: A Deep-Learning Approach for Fast Diagnosis of Neurodegenerative and Eye Diseases Using Fundus Images.

Bioengineering (Basel)

January 2025

Research Department, Biogen, Inc., 225 Binney St., Cambridge, MA 02142, USA.

Early-stage detection of neurodegenerative diseases is crucial for effective clinical treatment. However, current diagnostic methods are expensive and time-consuming. In this study, we present FundusNet, a deep-learning model trained on fundus images, for rapid and cost-effective diagnosis of neurodegenerative diseases.

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The anterior cruciate ligament (ACL) is one of the most injured ligaments, with approximately 100,000 ACL reconstructions taking place annually in the United States. In order to successfully manage ACL rupture, it is of the utmost importance to understand the anatomy, unique physiology, and biomechanics of the ACL, as well as the injury mechanisms and healing capacity. Currently, the "gold standard" for the treatment of ACL ruptures is surgical reconstruction, particularly for young patients or athletes expecting to return to pivoting sports.

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It is known that ultrashort echo time (UTE) magnetic resonance imaging (MRI) sequences can detect signals from water protons but not collagen protons in short T2 species such as cortical bone and tendons. However, whether collagen protons are visible with the zero echo time (ZTE) MRI sequence is still unclear. In this study, we investigated the potential of the ZTE MRI sequence on a clinical 3T scanner to directly image collagen protons via DO exchange and freeze-drying experiments.

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Traditional pulp-capping materials like mineral trioxide aggregate (MTA) offer excellent biocompatibility and sealing, but limitations such as prolonged setting time, low bioactivity, and high costs persist. Metformin, with its potential in craniofacial regeneration, could enhance dentin synthesis by targeting pulp cells. This study aimed to: (1) develop a calcium phosphate cement with chitosan (CPCC) with improved physio-mechanical properties; (2) incorporate metformin (CPCC-Met) to assess release; and (3) evaluate human dental pulp stem cells (hDPSCs) response.

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Non-linear least squares (NLS) methods are commonly used for quantitative magnetic resonance imaging (MRI), especially for multi-exponential T1ρ mapping, which provides precise parameter estimation for different relaxation models in tissues, such as mono-exponential (ME), bi-exponential (BE), and stretched-exponential (SE) models. However, NLS may suffer from problems like sensitivity to initial guesses, slow convergence speed, and high computational cost. While deep learning (DL)-based T1ρ fitting methods offer faster alternatives, they often face challenges such as noise sensitivity and reliance on NLS-generated reference data for training.

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The classification methods of machine learning have been widely used in almost every discipline. A new classification method, called Taba regression, was introduced for analyzing binary, multinomial, and ordinal outcomes. To evaluate the performance of Taba regression, liver cirrhosis data obtained from a Mayo Clinic study were analyzed.

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Public Health Travel Restrictions Implemented for Persons at Risk of Transmitting SARS-CoV-2 Infection-United States, January 1, 2020-April 6, 2022.

J Public Health Manag Pract

January 2025

Author Affiliations: Division of Global Migration Health, Centers for Disease Control and Prevention (Ms Surpris, Ms Jungerman, Dr Preston, Dr Gertz, Ms Duong, Dr Roy, Ms Morales, Mr Olmstead, Ms Delea, Dr Alvarado-Ramy, Dr Brown, and Dr Chen); Council of State and Territorial Epidemiologist (CSTE) Fellow, Atlanta, Georgia (Mr Olmstead); and University of South Florida, Tampa, Florida (Ms Surpris).

Context: Federal public health travel restrictions (FPHTR) in the United States are implemented for persons who meet specific criteria to prevent spread of communicable diseases of public health concern. FPHTR can mitigate the risk of disease transmission during air travel and mitigating disease translocation between geographic areas.

Objective: To characterize and determine the extent of FPHTR implementation during the COVID-19 pandemic.

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Apart from ancestry, personal or environmental covariates may contribute to differences in polygenic score (PGS) performance. We analyzed the effects of covariate stratification and interaction on body mass index (BMI) PGS (PGS) across four cohorts of European (N = 491,111) and African (N = 21,612) ancestry. Stratifying on binary covariates and quintiles for continuous covariates, 18/62 covariates had significant and replicable R differences among strata.

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Overview of historical occupational exposure to trichloroethylene in China.

Ann Work Expo Health

January 2025

Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, the Netherlands.

Objectives: Trichloroethylene (TCE) is a carcinogen that has been causally linked to kidney cancer and possibly other cancer sites including the liver and lymphatic system. Its use in China has increased since the early 1990s due to the growing metal and electronic industries. We aimed to summarize the major sources of occupational exposure to TCE over time in China.

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Health mediation, similar to health navigation in the United States or Canada, is known by various terms worldwide. In France, health mediation has historically been implemented by civil society organizations to support hard-to-reach populations. Health mediation is increasingly considered by health authorities as a valuable tool for health promotion to reduce health inequalities.

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Immune checkpoint inhibitors (ICIs) have revolutionized treatment for several tumor indications without demonstrated benefit for ovarian cancer patients. To improve the therapeutic ratio of ICIs in ovarian cancer patients, several different clinical trials are testing combinations with poly (ADP-ribose) polymerase (PARP) inhibitors. Comparing the immunomodulatory effects of clinically advanced PARP inhibitors may help to identify the best partner to combine with ICIs.

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Recognizing human body motions opens possibilities for real-time observation of users' daily activities, revolutionizing continuous human healthcare and rehabilitation. While some wearable sensors show their capabilities in detecting movements, no prior work could detect full-body motions with wireless devices. Here, we introduce a soft electronic textile-integrated system, including nanomaterials and flexible sensors, which enables real-time detection of various full-body movements using the combination of a wireless sensor suit and deep-learning-based cloud computing.

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Human papillomavirus (HPV) vaccination among males is poorly understood. We systematically reviewed individual socioeconomic/health-related characteristics associated with HPV vaccine initiation and vaccination series completion among males in the United States. We searched for literature up to August 1, 2023, and pooled appropriate multivariable-adjusted results using an inverse variance random effects model, with results expressed as odds ratios.

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Deep learning-based design and experimental validation of a medicine-like human antibody library.

Brief Bioinform

November 2024

Biotherapeutics Molecule Discovery, Boehringer Ingelheim Pharmaceutical Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States.

Antibody generation requires the use of one or more time-consuming methods, namely animal immunization, and in vitro display technologies. However, the recent availability of large amounts of antibody sequence and structural data in the public domain along with the advent of generative deep learning algorithms raises the possibility of computationally generating novel antibody sequences with desirable developability attributes. Here, we describe a deep learning model for computationally generating libraries of highly human antibody variable regions whose intrinsic physicochemical properties resemble those of the variable regions of the marketed antibody-based biotherapeutics (medicine-likeness).

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High-Performance TiCT-MXene/Mycelium Hybrid Membrane for Efficient Lead Remediation: Design and Mechanistic Insights.

ACS Appl Mater Interfaces

January 2025

Department of Materials Design and Innovation, University at Buffalo, Buffalo, New York 14260-1660, United States.

This study presents a hybrid microfiltration technology designed for high-performance lead (Pb(II)) remediation, especially from aqueous solutions with high Pb(II) concentrations, by utilizing two-dimensional (2D) TiCT-MXene layers deposited on dry mycelium membranes. The hybrid TiCT-MXene/mycelium (MyMX) membranes were fabricated via a single-step electrochemical deposition (ECD) technique, which enabled a uniform coating of 2D TiCT-MXene onto individual hyphal fibers of a prefabricated mycelium membrane. Optimized ECD parameters for high Pb(II) uptake were identified using scanning electron microscopy and energy-dispersive X-ray spectroscopy.

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The cost-effectiveness of an intervention is an important factor in health care decisions about which health care services should be publicly funded and/or approved as an eligible intervention for private insurance coverage. Music therapy as a health profession lacks substantial research on the cost-effectiveness of its services and there is no overview of existing data. We therefore conducted a scoping review.

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Intravascular Imaging as a Performance Measure for Percutaneous Coronary Intervention.

Circ Cardiovasc Interv

January 2025

Division of Cardiology, Department of Medicine, University of Washington Medical Center, Seattle (E.J.S., T. Salahuddin, J.A.D.).

Background: Intravascular imaging (IVI) is widely recognized to improve outcomes after percutaneous coronary intervention (PCI). However, IVI is underutilized and is not yet established as a performance measure for quality PCI.

Methods: We examined temporal trends of IVI use for all PCIs performed at Veterans Affairs hospitals in the United States from 2010 to 2022 using retrospective observational cohorts.

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Background: Despite valuing occupation, occupational therapists report barriers to enacting occupation-based practice. One barrier noted in the literature is hegemony, the dominance of one social group's ideas over others. Specifically, biomedical and business models dominating healthcare are reported to significantly impact occupational therapists.

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Accurate survival prediction of patients with long-bone metastases is challenging, but important for optimizing treatment. The Skeletal Oncology Research Group (SORG) machine learning algorithm (MLA) has been previously developed and internally validated to predict 90-day and 1-year survival. External validation showed promise in the United States and Taiwan.

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The object is to objectively identify the 100 most influential scientific publications in total knee arthroplasty (TKA) and provide an analysis of their main characteristics. The Clarivate Analytics Web of Knowledge database was used to obtain data and metrics of TKA research. The search list was sorted by the number of citations, and articles were included or excluded based on relevance to TKA.

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