Results 131 to 140 of about 398,738 (329)

A HIERACHICAL MODEL FOR MEDICAL REGISTRATIONS [PDF]

open access: yes
The aim of this paper is to improve solutions for developing and improving medical and pharmaceutical services. We made a SWOT analyze of SIUI in order to build a document management system and create medical registration papers, based on collaborative ...
Lucia Rusu   +3 more
core  

A Prussian Blue Nanozyme‐Adjuvanted Vaccine Presenting Phosphocholine Antigens for Induction of Immunotolerance in Inflammatory Bowel Disease

open access: yesAdvanced Science, EarlyView.
This study developed a novel nano‐vaccine (Ferritin‐PC@PBNZs) comprising a ferritin‐based scaffold for the multivalent display of phosphorylcholine (PC) antigens, integrated with Prussian blue nanozymes (PBNZs) as a potent adjuvant. By leveraging the ferritin carrier for high‐density and ordered antigen display, the nano‐vaccine significantly augments ...
Jingyi Sheng   +6 more
wiley   +1 more source

Sistemas de Información en Salud: Integrando datos clínicos en diferentes escenarios y usuarios

open access: yesRevista Peruana de Medicina Experimental y Salud Pública
Pese al avance tecnológico de las últimas décadas y a los múltiples beneficios documentados, la implementación de tecnologías de información y comunicación (TIC) en salud continúa siendo un importante desafío para las organizaciones de salud.
Fernando Plazzotta   +2 more
doaj  

Investing in People [PDF]

open access: yes, 2015
Foundations have long created programs to provide grants to individuals—most often in the form of fellowships, scholarships, and prizes. Several of these programs have become so prominent that they are now institutions in and of themselves. Consider just
Elizabeth Thompson, Patricia Patrizi
core  

Controlled Optically Active Hierarchical Nanostructures of Side‐Chain Sequence‐Regulated Graphene Nanoribbons

open access: yesAdvanced Science, EarlyView.
The restrained side‐chain accessibility and versatility of GNRs extremely impede their multifunctionality, solution processability, and numerous solution‐based applications. We report herein a robust liquid‐phase bottom‐up synthesis approach for high‐efficiency preparation of side‐chain sequence‐regulated functional GNRs.
Baiyang Chen   +8 more
wiley   +1 more source

Machine learning applications in studying mental health among immigrants and racial and ethnic minorities: an exploratory scoping review

open access: yesBMC Medical Informatics and Decision Making
Background The use of machine learning (ML) in mental health (MH) research is increasing, especially as new, more complex data types become available to analyze.
Khushbu Khatri Park   +3 more
doaj   +1 more source

Class Notes [PDF]

open access: yes, 2014
News about Linfield ...
Linfield Magazine Staff
core   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee   +3 more
wiley   +1 more source

The Effectiveness of Anti‐Adhesion Barriers on Prevention of Postoperative Adhesive Bowel Obstruction: Disease‐Free Survival Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
We performed a survival analysis of abdominal gastroenterological cancer surgery cases with and without anti‐adhesive barriers, with the development of adhesive bowel obstruction as the outcome. The incidence of adhesive bowel obstruction was significantly lower in patients undergoing open or laparoscopic colorectal surgery in the anti‐adhesive ...
Shota Ebinuma   +5 more
wiley   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

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