Academic Articles & Research Papers

Patient perception of pain care in hospitals in the United States

Anita Gupta1, Sarah Daigle2, Jeffrey Mojica3, Robert W Hurley41Pain Management Division, Department of Anesthesiology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA; 2Department of Anesthesiology and Critical Care, 3D...

Antibiogram Profile and Resistance Patterns of Microflora from Vaginal Discharge in Reproductive-age Women at a Nigerian Teaching Hospital

Background: The adult human vagina hosts a complex biota containing diverse communities of microorganisms. The occurrence of multi-drug-resistant strains of these microorganisms has persistently increased due to poor hygiene and misuse or a...

Epidemiology of Nosocomial Pneumonia

"Keep an open mind toward pneumonia. Our grandchildren will be interested and are likely to have as many differences of opinion.. as we have." William Osier, circa 1900 As Osier predicted nearly a century ago, controversies ^* * persist ove...

Clinical presentations and dispositions of transient ischemic attack and minor stroke patients at the emergency department of a tertiary hospital in southern Thailand: A retrospective study

Abstract Objective To assess the dispositions, management, and clinical outcomes of TIAMS patients in ED to improve the quality of management in ED. Material and Method A descriptive retrospective study was conducted in ED patients aged >18...

The Epidemiology of Endometriosis

Advances in understanding the epidemiology of endometriosis have lagged behind other diseases because of methodologic problems related to disease definition and control selection. Nevertheless, a better picture of the epidemiology of endome...

Embedded Sensor Data Fusion and TinyML for Real-Time Remaining Useful Life Estimation of UAV Li Polymer Batteries

The accurate real-time estimation of the remaining useful life (RUL) of lithium-polymer (LiPo) batteries is a critical enabler for ensuring the safety, reliability, and operational efficiency of unmanned aerial vehicles (UAVs). Nevertheless...

Data-Driven Clustering Analysis for Representative Electric Vehicle Charging Profile in South Korea

As the penetration of electric vehicles (EVs) increases, an understanding of EV operation characteristics becomes crucial in various aspects, e.g., grid stability and battery degradation. This can be achieved through analyzing large amounts...

Improvement of Cycling Stability of Core–Shell Structured Ni-Rich NMC Cathodes by Using a Tungsten Oxide Stabilization Interlayer

The growing demand for higher-energy lithium-ion batteries, encompassing consumer electronics, stationary grid storage, and electric mobility to specialized sectors like aerospace, medical devices, and industrial robotics, requires cathode ...

Monomer Structure and Discharge Power Influence the Multiscale Architecture of Plasma-Polymerized Hydrocarbon Nanoparticles.

Data resource profile: a nationally representative linked pregnancy cohort in Canada integrating clinical, social, and environmental data

Introduction Perinatal outcomes are shaped by clinical, social, and environmental factors, yet Canada lacks a nationally representative pregnancy cohort capturing these influences at the individual-level. This gap has limited the ability to...

A Heuristic Home Electric Energy Management System Considering Renewable Energy Availability

This paper presents the development of a heuristic-based algorithm for a Home Electric Energy Management System (HEEMS). The novelty of the proposal resides in the fact that solutions of the Pareto front, minimizing both the energy consumpt...

Tailoring structural properties of carbon via implanting optimal co nanoparticles in n‐rich carbon cages toward high‐efficiency oxygen electrocatalysis for rechargeable zn‐air batteries

Abstract Rational construction of carbon‐based materials with high‐efficiency bifunctionality and low cost as the substitute of precious metal catalyst shows a highly practical value for rechargeable Zn‐air batteries (ZABs) yet it still rem...

Enhanced Reversibility of Li‐Rich Binary Oxide Cathodes through Synergistic Interfacial Regulation for Improved Charge Transfer Kinetics at High Depth of Charge/Discharge

Lithium‐rich manganese‐based oxides are accepted as a promising cathode material for high‐energy density batteries. However, they suffer from irreversible structural transformations and detrimental interfacial reactions, especially under de...

Bio-Template Synthesis of V₂O₃@Carbonized Dictyophora Composites for Advanced Aqueous Zinc-Ion Batteries

In terms of new-generation energy-storing devices, aqueous zinc-ion batteries (AZIBs) are becoming the prime candidates because of their inexpensive nature, inherent safety, environmental benignity and abundant resources. Nevertheless, due ...

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing

BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...

A Systematic Review of Natural Language Processing in Healthcare

The healthcare system is a knowledge driven industry which consists of vast and growing volumes of narrative information obtained from discharge summaries/reports, physicians case notes, pathologists as well as radiologists reports.This inf...

A broad-coverage natural language processing system.

Natural language processing systems (NLP) that extract clinical information from textual reports were shown to be effective for limited domains and for particular applications. Because an NLP system typically requires substantial resources ...

Scalable and accurate deep learning with electronic health records

Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive statistical models typically requires extraction of curated predictor variabl...

Spatiotemporal prediction of sneeze pollutants in enclosed spaces: a CNN-LSTM approach validated by field measurements and CFD-Robotics arm twin system

Densely populated enclosed environments, characterized by complex thermal stratification and overlapping breathing zones, represent high-risk clusters for the airborne transmission of respiratory pathogens. To address the dual challenges of...

Rapid Estimation of Static Capacity Based on Machine Learning: A Time-Efficient Approach

With the global surge in electric vehicle (EV) deployment, driven by enhanced environmental regulations and efforts to reduce transportation-related greenhouse gas emissions, managing the life cycle of Li-ion batteries becomes more critical...