Results 41 to 50 of about 19,665 (266)

Hubungan Motivasi Dan Alasan Masuk Ke Fakultas Kedokteran Dengan Prestasi Akademik

Majalah Kedokteran Andalas, 2023
Tujuan: Untuk mengetahui hubungan antara motivasi akademik, identitas profesional dan prestasi akademik; Metode: Penelitian deskriptif potong lintang dilakukan. Dari 279 mahasiswa kedokteran, 188 berpartisipasi dalam riset ini.
Cindy Eka Wijaya, Pieter Pieter, Erwin Handoko, Rico Alexander   +3 more
doaj   +1 more source

Factors determining the performance of the “right” candidates using Spearman’s RHO [PDF]

The Journal of Developing Areas, 2016
Urban-rural digital divide occur in most parts of the world and this phenomenon is common in various states in Malaysia. The Rural ICT Guided Home-based Technopreneur (RiGHT) is a dedicated initiative established with an ultimate aim that is to bridge the urban-rural digital divide in Sarawak, a state in East Malaysia.
Ee, Caleb Lai Chen, Hui, Patrick Then Hang, Theng, Lau Bee, Hiong, Teo Tien   +3 more
openaire   +1 more source

Marked Long‐Term Improvement in Lung Function in Melanoma Differentiation–Associated Protein 5 Antibody–Positive Dermatomyositis Patients: Experience of a Single‐Center Longitudinal Cohort in North America

Arthritis Care &Research, EarlyView.
Objective The objective of this study was to describe the longitudinal disease course and pulmonary outcomes of North American patients with melanoma differentiation–associated protein 5 (MDA5) antibody–associated dermatomyositis (DM). Methods Thirty patients with MDA5 antibody–associated DM were identified in a single‐center longitudinal cohort of 352
Jenice X. Cheah, Sangmee S. Bae, Tiffany De Leon, Yuna Lee, Rong Guo, David Elashoff, Jennifer Wang, Ani Shahbazian, Christina Charles‐Schoeman   +8 more
wiley   +1 more source

Fast and Robust Digital Image Spearman's Rho Correlation for Displacement Measurement

Information Technology and Control, 2022
The robustness and computational efficiency of digital image correlation (DIC) are two key influencing factors for displacement field measurement applications. Especially when the speckle images are contaminated by salt-and-pepper noise, it is difficult to obtain reliable measurement results using traditional DIC methods.
Wanghua Huang, Kang Chen, Wei Wei, Jianbin Xiong, Wenhao Liu   +4 more
openaire   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Selective Separation of the Rare Earth Elements Dysprosium and Neodymium via Tailoring Nanocellulose Chemical Structure

Advanced Functional Materials, EarlyView.
Dicarboxylate‐modified anionic hairy cellulose nanocrystals exhibit a high selectivity for dysprosium(III) over neodymium(III). This selectivity arises from disordered dicarboxylate cellulose “hairs” that enable cooperative ionic coordination, hydrogen bonding, and strain‐induced conformational shrinkage.
Roya Koshani, Shang‐Lin Yeh, Karuna Anna Sajeevan, Mica L. Pitcher, Dawson Alexander, Ratul Chowdhury, Amir Sheikhi   +6 more
wiley   +1 more source

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

Advanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin, Wenbing Jiang, Kai Xin Thong, Zeynep Ulker, Brihitejas Patel, Cynthia Yu‐Wai‐Man   +5 more
wiley   +1 more source

The FitTrack Index as fitness indicator: A pilot study

Health SA Gesondheid: Journal of Interdisciplinary Health Sciences, 2016
Background: The FitTrack Index is a web-based programme developed in South Africa and widely used by athletes to indicate their fitness. A need exists for a self-managed, non-invasive tool to evaluate and categorise health-related fitness in different ...
Dina Christina Janse van Rensburg, Catharina Cornelia Grant, Audrey Jansen van Rensburg, Roelf Petrus Gerhardus Botha, Paola Silvia Wood, Kim Nolte, Lizelle Fletcher, Peet Jacobus du Toit, Michael Sean Pepper, Pieter Ernst Kruger   +9 more
doaj   +3 more sources

Multivariate Spearman's rho for aggregating ranks using copulas

, 2014
We study the problem of rank aggregation: given a set of ranked lists, we want to form a consensus ranking. Furthermore, we consider the case of extreme lists: i.e., only the rank of the best or worst elements are known. We impute missing ranks by the average value and generalise Spearman's to extreme ranks. Our main contribution is the derivation of
Bedo, Justin, Ong, Cheng Soon
openaire   +2 more sources

An Application of Spearman’s Rho in Blind Deconvolution of Seismic Data [PDF]

Advances in Intelligent Systems Research, 2016
The paper proposes a novel seismic blind deconvolution approach based on the Spearman's rho in the case of band-limited seismic data with a low dominant frequency and short data records. The spearman's rho is a measure of the dependence between two continuous random variables without the influence of the marginal distributions, by which a new criterion
Xiaobo Zhou, Fei Xu, Rongrong Wang
openaire   +1 more source