Results 71 to 80 of about 37,129 (261)

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source

Farmers' adaptation and mitigation practices in the Upper Rhine Valley: Drivers, synergies and trade‐offs

The Geographical Journal, EarlyView., 2023
Short Abstract Through interviews with farmers in the Upper Rhine Valley, this article analyses the objectives, drivers and obstacles to adaptation practices and their synergies and trade‐offs with mitigation and other social and environmental issues.
Gaël Bohnert, Brice Martin
wiley   +1 more source

Dynamic order selection analysis in adaptive polynomial Kalman filtering: implementation and integration of sensor data and hybrid image processing for bio-inspired needle systems

Systems Science & Control Engineering
This study investigates dynamic-order selection in Adaptive Polynomial Kalman Filtering (APKF) for tracking the bioinspired dual-sheath needle systems used in biopsy procedures. Emphasizing integration of sensor data and hybrid image processing, the goal
Dileep Sivaraman, Branesh M. Pillai, Cholatip Wiratkapun, Jackrit Suthakorn, Songpol Ongwattanakul   +4 more
doaj   +1 more source

Testing the Empirical Shock Arrival Model using Quadrature Observations

, 2013
The empirical shock arrival (ESA) model was developed based on quadrature data from Helios (in-situ) and P-78 (remote-sensing) to predict the Sun-Earth travel time of coronal mass ejections (CMEs) [Gopalswamy et al. 2005a].
Gopalswamy, N., Mäkelä, P., Xie, H., Yashiro, S.   +3 more
core   +1 more source

Measuring large-scale structure with quasars in narrow-band filter surveys [PDF]

, 2012
We show that a large-area imaging survey using narrow-band filters could detect quasars in sufficiently high number densities, and with more than sufficient accuracy in their photometric redshifts, to turn them into suitable tracers of large-scale ...
Abdalla, Abdalla, Abdalla, Adelman-McCarthy, Adelman-McCarthy, Adelman-McCarthy, Amendola, Angulo, Baldwin, Banerji, Bardeen, Baum, Benítez, Benítez, Blake, Blake, Blake, Bolzonella, Bond, Bonfield, Brown, Bruzual, Budavári, Carlos Hernández-Monteagudo, Claudia Mendes de Oliveira, Coil, Cole, Collister, Connolly, Croft, Croom, Croom, Croom, Croom, Csabai, da Ângela, Dekel, Dong, Eisenstein, Eisenstein, Eisenstein, Fan, Feldman, Firth, Hamilton, Hildebrandt, Hinshaw, Holtzman, Hopkins, Hu, Irene Sendra, Jain, Kaiser, Kormendy, L. Raul Abramo, Laerte Sodré, Lidz, Lima, Lynden Bell, Ma, Mandelbaum, Marcos Lima, Mariano Moles, Martini, Meiksin, Michael A. Strauss, Moles, Moles, Oyaizu, Padmanabhan, Padmanabhan, Padmanabhan, Peacock, Peebles, Percival, Porciani, Richards, Richards, Richards, Richards, Richards, Richstone, Ross, Ross, Ruth Lazkoz, Salpeter, Salvato, Sawangwit, Schlegel, Schneider, Schneider, Schneider, Scoccimarro, Scoville, Seljak, Seo, Seo, Seo, Seo, Sheldon, Shen, Shen, Smith, Sunyaev, Tegmark, Tegmark, Thaisa Storchi-Bergmann, Vanden Berk, Wang, Wolf, Wolf, Yahata, Yip, York, Zel’Dovich   +114 more
core   +2 more sources

Accuracy assessment of Digital Surface Models generated by Semiglobal matching algorithm using Lidar data [PDF]

, 2011
To measure the accuracy of Digital Surface Models (DSMs) generated by high resolution satellite images (HRSI) using semi-global matching algorithm in comparison with LIDAR DSMs, two different test areas with different properties and corresponding ...
Aeini, Nazanin, Arefi, Hossein, Reinartz , Peter, Saati, Amirreza   +3 more
core  

Derivation of the Limits for Control Chart Using the Median Absolute Deviation for Monitoring Non-Normal Process

, 2012
Problem statement: The Shewhart and S control charts, in the literature, were combined to evaluate the stability of a process. These charts were based on the fundamental assumption of normality of the quality characteristics under investigation. Approach:
K. S. Adekeye, P. Azubuike
semanticscholar   +1 more source

Median Absolute Deviation to Improve Hit Selection for Genome-Scale RNAi Screens

Journal of biomolecular screening, 2008
High-throughput screening (HTS) of large-scale RNA interference (RNAi) libraries has become an increasingly popular method of functional genomics in recent years.
Namjin Chung, Xiaohua Douglas Zhang, A. Kreamer, L. Locco, Pei-Fen Kuan, S. Bartz, P. Linsley, M. Ferrer, B. Strulovici   +8 more
semanticscholar   +1 more source

Correcting Errors in the Adsorbed Intermediates of CO2 Electroreduction

Carbon Energy, EarlyView.
Flying over Jacob's ladder of density functional approximations: chemical accuracy in the DFT‐based modeling of CO2 reduction electrocatalysis can be approached with our simple semiempirical method to deconvolute and correct gas‐phase errors and adsorbed‐phase errors.
Ricardo Urrego‐Ortiz, Camberly Schaffer Zhong, Wei Jie Teh, Santiago Builes, Boon Siang Yeo, Federico Calle‐Vallejo   +5 more
wiley   +1 more source

Using Noise Level to Detect Frame Repetition Forgery in Video Frame Rate Up-Conversion

Future Internet, 2018
Frame repetition (FR) is a common temporal-domain tampering operator, which is often used to increase the frame rate of video sequences. Existing methods detect FR forgery by analyzing residual variation or similarity between video frames; however, these
Yanli Li, Lala Mei, Ran Li, Changan Wu
doaj   +1 more source