Results 31 to 40 of about 1,163 (133)

Digital Surface‐Enhanced Raman Scattering With Event Counting and Spectrum Learning for Label‐Free Protein Quantification

Advanced Intelligent Systems, EarlyView.
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley   +1 more source

Comparing the effectiveness of prostate cancer screening protocols: European Association of Urology– and European Randomized Study of Screening for Prostate Cancer–based strategies

International Journal of Cancer, EarlyView.
What's New? Although screening reduces prostate cancer mortality, concerns about overdiagnosis and unnecessary biopsies have given rise to more tailored strategies. The European Association of Urology (EAU) proposed a risk‐adapted screening strategy combining prostate‐specific antigen (PSA)‐based intervals, a risk calculator, and magnetic resonance ...
Zhenwei Yang, Luuk A. van Duuren, Monique J. Roobol, Nicole S. Erler, Dimitris Rizopoulos, Eveline A. M. Heijnsdijk   +5 more
wiley   +1 more source

Automated Debugging for Arbitrarily Long Executions [PDF]

, 2013
One of the most energy-draining and frustrating parts of software development is playing detective with elu-sive bugs. In this paper we argue that automated post-mortem debugging of failures is feasible for real, in-production systems with no runtime ...
Bugnion, Edouard, Candea, George, Kasikci, Baris, Kinder, Johannes, Zamfir, Cristian   +4 more
core   +1 more source

A first‐trimester mechanistic framework integrating three Physiopathologic biomarker domains for pre‐eclampsia classification

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To develop and internally validate a mechanistic, three‐domain framework for early classification and prediction of pre‐eclampsia (PE) using first‐trimester angiogenic, uteroplacental, and maternal vascular biomarkers. Methods In a prospective cohort of 1925 singleton pregnancies screened at 11 to 13.6 weeks, placental growth factor (
Johnatan Torres‐Torres, Salvador Espino‐y‐Sosa, Raigam Jafet Martinez‐Portilla, Elsa Romelia Moreno‐Verduzco, Irma Eloisa Monroy‐Muñoz, Juan Mario Solis‐Paredes, Javier Perez Duran, Hector Borboa‐Olivares, Lourdes Rojas‐Zepeda   +8 more
wiley   +1 more source

Towards Effective Bug Triage with Software Data Reduction Techniques [PDF]

, 2014
International audienceSoftware companies spend over 45 percent of cost in dealing with software bugs. An inevitable step of fixing bugs is bug triage, which aims to correctly assign a developer to a new bug. To decrease the time cost in manual work, text
Hu, Yan, Jiang, He, Luo, Zhongxuan, Ren, Zhilei, Wu, Xindong, Xuan, Jifeng, Zou, Weiqin   +6 more
core   +5 more sources

Balloon catheter plus concurrent vaginal misoprostol versus vaginal misoprostol alone for cervical ripening in induction of labor: A systematic review and an individual participant data meta‐analysis of randomized controlled trials

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Background Cervical ripening in labor induction using a combination of methods is gaining popularity, but the effectiveness and safety of this approach are not clear. The assessment of study trustworthiness has recently been raised for evidence synthesis.
Malitha Patabendige, Fei Chan, Zainab Al‐Ibraheemi, Davies K. Kibii, Alfred O. Osoti, Philip Ayieko, Tarakeswari Surapaneni, Marino Romero Ramirez, Angeles Vives Argilagos, Sidra Gilani, Syeda B. Mazhar, Daniel L. Rolnik, Ben W. Mol, Wentao Li   +13 more
wiley   +1 more source

A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection

IEEE Access
The increasing complexity of software development demands efficient automated bug report priority classification, and recent advancements in deep learning hold promise. This paper presents a comparative study of contemporary learning paradigms, including
Eyup Halit Yilmaz, Ismail Hakki Toroslu, Omer Koksal   +2 more
doaj   +1 more source

Variability Bugs in Highly Configurable Systems: A Qualitative Analysis [PDF]

, 2017
Variability-sensitive verification pursues effective analysis of the exponentially many variants of a program family. Several variability-aware techniques have been proposed, but researchers still lack examples of concrete bugs induced by variability ...
Abal, Iago, Brabrand, Claus, Melo, Jean, Ribeiro, Márcio, Stanciulescu, Stefan, Wasowski, Andrzej   +5 more
core   +1 more source

The role of geographical proximity to the October 7th, 2023, attack on Israel: Mental health disorders and related risk factors

Journal of Traumatic Stress, EarlyView.
Abstract The current study assessed how mental health outcomes and related risk factors varied by proximity to the October 7, 2023, attacks by Hamas among a community sample from Ofakim, a town in southern Israel. Established cutoff scores on self‐report measures of posttraumatic stress disorder (PTSD), major depressive disorder (MDD), and generalized ...
Ohad Gilbar, Ruth Pat‐Horenczyk, Mario Mikulincer, Jonathan D. Huppert, Eitan Shahar, Miriam Schiff   +5 more
wiley   +1 more source

Molecular and genomic advances in breast cancer: A comprehensive review of predictive and therapeutic innovations

Precision Medical Sciences, EarlyView.
Breast cancer subtypes, estrogen receptor‐positive (ER+), HER2‐enriched, and TNBC, are defined by genomic and epigenetic signatures. Multi‐omics profiling, immunotherapy, liquid biopsy, and AI‐driven radiogenomics enable precision medicine. Tools like Oncotype DX and PAM50 support personalized care.
Samina Malik, Arif Malik, Shahzad Ahmad, Hassan Mohsin, Shazia Iqbal   +4 more
wiley   +1 more source