Results 61 to 70 of about 74,936 (290)

Attenuation of blast-induced vibration on tunnel structures

Geohazard Mechanics
The blast-induced vibration during excavation by drilling and blasting method has an important impact on the surrounding structures. In particular, with the development of tunnel engineering, the impact of blasting vibration on tunnel construction has ...
Xiao Wang, Xiaofeng Hou, Wei Yuan, Changdi He, Vahab Sarfarazi, Hao Fan   +5 more
doaj   +1 more source

Markers of inflammation and bone remodelling associated with improvement in clinical response measures in psoriatic arthritis patients treated with golimumab [PDF]

, 2013
<p>Objective To determine serum biomarker associations with clinical response to golimumab treatment in patients with psoriatic arthritis (PsA).</p> <p>Methods GO–REVEAL was a randomised, placebo-controlled study of golimumab in ...
Beutler, A., Elashoff, M., Gladman, D., Gomez-Reino, J.J., Kavanaugh, A., Krueger, G.G., Mack, M., McInnes, I.B., Mease, P.J., Murphy, F.T., Papp, K., Visvanathan, S., Wagner, C.L.   +12 more
core   +1 more source

Triangular Index Ratio as An Alternative Method to the Alpha Angle for Defining the Presence of Cam Morphology: A Prospective Cohort Study

Arthritis Care &Research, Accepted Article.
Objective Cam morphology, a significant risk factor for hip osteoarthritis, is commonly quantified by the alpha angle (AA). This study aims to explore the potential of the triangular index ratio (TIR) to quantify cam morphology on anteroposterior radiographs by assessing the association between TIR‐defined cam morphology and the development of ...
Jinchi Tang, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Myrthe A. van den Berg, Jos Runhaar, Sita Bierma‐Zeinstra, Rintje Agricola   +7 more
wiley   +1 more source

A model adapted to predict blast vibration velocity at complex sites: An artificial neural network improved by the grasshopper optimization algorithm

Journal of Intelligent Construction
Many factors complicate the blasting vibration velocity at complex sites because of their nonlinear relationships. Traditional empirical formulas often yield unsatisfactory prediction results.
Yong Fan, Guangdong Yang, Yong Pei, Xianze Cui, Bin Tian   +4 more
doaj   +1 more source

Comparative Analysis of “Trauma and Injury Severity Scores” and “Madras Head Injury Prognostic Scale” in Assessing Head Trauma Prognosis in the Emergency Department of Shahid Beheshti Hospital, Sabzevar, Iran [PDF]

Bulletin of Emergency and Trauma
Objectives: This study aimed to compare the effectiveness of Trauma and Injury Severity Scores (TRISS) and Madras Head Injury Prognostic Scale (MHIPS) in assessing the prognosis of head trauma patients in the emergency department.
Marjan Hamidnezhad, Mozhgan Ansari, Tahura Afshari Saleh, Samira Foji   +3 more
doaj   +1 more source

Study on influencing factors and prediction of peak particle velocity induced by roof pre-split blasting in underground

Underground Space, 2022
Blasting technology is widely used to prevent coal bursts by presplitting the overburden in underground coal mines. The control of blasting intensity is important in achieving the optimal pre-split effectiveness and reducing the damage to roadway ...
Jiliang Kan, Linming Dou, Xuwei Li, Jinrong Cao, Jinzheng Bai, Yanjiang Chai   +5 more
doaj   +1 more source

Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU

, 2018
Machine learning approaches have been effective in predicting adverse outcomes in different clinical settings. These models are often developed and evaluated on datasets with heterogeneous patient populations.
Buolamwini Joy, Caruana Rich, Ghassemi Marzyeh, Ngufor C., Shankar Shreya, Wang Xiang, Xu Kelvin   +6 more
core   +1 more source

Prediction of liver disease in patients whose liver function tests have been checked in primary care : model development and validation using population-based observational cohorts [PDF]

, 2014
Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.Peer reviewedPublisher ...
Altman, Carstairs, Chambless, Collett, Craig, D'Agostino, Donnan, Donnan, Dorans, Evans, Fornasini, Goodwin, Hawkins, Kim, McLernon, McLernon, Moons, Morris, Pencina, Pratt, R Core Team, Roderick, Rubin, Rubin, Schalk, Sherwood, Siris, Sorensen, Steinke, Sterne, Steyerberg, Sullivan, Vickers, Vickers, Yuan   +34 more
core   +5 more sources

An empirical-driven machine learning (EDML) approach to predict PPV caused by quarry blasting

Bulletin of Engineering Geology and the Environment
Abstract Blasting in mining and quarrying serves multiple purposes but poses environmental challenges, notably generating shockwaves and vibrations through peak particle velocity (PPV) from explosions. Previous efforts to predict PPV values have relied on empirical equations using parameters such as maximum charge per delay (MC) and distance ...
Panagiotis G. Asteris, Danial Jahed Armaghani   +1 more
openaire   +1 more source

Clinical, histological, and serological predictors of renal function loss in lupus nephritis.

Arthritis Care &Research, Accepted Article.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang, Laurence Magder, Daniel Goldman, Judith A. James, Joel M Guthridge, Carla Guthridge, Peter Izmirly, Jill P Buyon, H.Michael Belmont, Richard A. Furie, Noa Schwartz, Chaim Putterman, Jennifer L. Barnas, Jennifer H. Anolik, Sarah French, Maria Dall'era, Avi Z. Rosenberg, Jeffrey Hodgin, Dawit S. Demeke, the Accelerating Medicines Partnership RA/SLE Network, Michelle Petri, Andrea Fava   +21 more
wiley   +1 more source