Results 111 to 120 of about 140,769 (264)

Cross-country Efficiency of Secondary Education Provision: a Semi-parametric Analysis with Nondiscretionary Inputs [PDF]

We address the efficiency of expenditure in education provision by comparing the output (PISA results) from the educational system of 25, mostly OECD, countries with resources employed (teachers per student, time spent at school).
António Afonso, Miguel St. Aubyn
core   +2 more sources

High-Gain Dual-Band Microstrip Antenna for 5G mmWave Applications: Design, Optimization, and Experimental Validation

Applied Sciences
This study presents a novel dual-band microstrip antenna operating at 28/38 GHz, which is designed for fifth generation (5G) and next-generation communications.
Bilal Okan Icmez, Cetin Kurnaz
doaj   +1 more source

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

Molecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan, Veronika M Metzler, Simone de Brot, Corinne L Woodcock, Anna E Harris, Jennifer Lothion‐Roy, Emeli M Nilsson, Atara Ntekim, Michael S Toss, Jenny L Persson, Francesca Khani, Brian D Robinson, Lorraine J Gudas, Emad Rakha, David M Heery, Catrin S Rutland, Nigel P Mongan   +16 more
wiley   +1 more source

Cell‐cycle‐specific lesion evolution rather than inhibition of double‐strand‐break repair underpins cisplatin radiosensitization

Molecular Oncology, EarlyView.
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu, Xixi Lin, Emil Mladenov, Veronika Mladenova, Jürgen Thomale, Ali Sak, Yao Wang, Yunxuan Deng, Eleni Gkika, Martin Stuschke, George Iliakis   +10 more
wiley   +1 more source

The Use of Parametric and Non Parametric Frontier Methods to Measure the Productive Efficiency in the Industrial Sector. A Comparative Study [PDF]

Parametric frontier models and non-parametric methods have monopolised the recent literature on productive efficiency measurement. Empirical applications have usually dealt with either one or the other group of techniques.
Luis R. Murillo-Zamorano, Juan Vega-Cervera   +1 more
core  

Shear Strength of Double-Skin Truss-Reinforced Composite Shear Walls: Finite Element Analysis

Buildings
This study investigates the shear behavior of double-skin truss-reinforced composite shear walls through finite element analysis validated by published tests. Parametric studies reveal that the shear strength increases with the axial compression ratio up
Jianhong Han, Panpan Tian, Zhihan Shan, Dingbo Tang   +3 more
doaj   +1 more source

Parametric WCET Analysis.

, 2013
In a real-time system, it is crucial to ensure that all tasks of the system hold their deadlines. A missed deadline in a real-time system means that the system has not been able to function correctly. If the system is safety critical, this could potentially lead to disaster.
openaire   +1 more source

Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer

Molecular Oncology, EarlyView.
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley   +1 more source

Improving Parametric Mortgage Prepayment Models with Non-parametric Kernel Regression [PDF]

Developing a good prepayment model is a central task in the valuation of mortgages and mortgage-backed securities but conventional parametric models often have bad out-of-sample predictive ability.
Michael Marschoun, Michael LaCour-Little, Clark L. Maxam   +2 more
core  

Parametric Analysis of the Wavelet Scattering Transform for Water Leakage Classification and Comparison With Manual Feature Extraction Techniques

IEEE Access
Water pipeline leakages create significant environmental challenges worldwide. Machine learning (ML) is widely used for leakage detection, often based on time and frequency features.
David Barrientos-Torres, Erick Axel Martinez-Rios, Rogelio Bustamante-Bello   +2 more
doaj   +1 more source