Results 111 to 120 of about 8,745 (188)

Single molecule vRNA FISH of NSR infected cells.

, 2016
(A) Schematic presentation of the experimental setup. (B) Maximal titers and SDs of wild-type RVFV and NSR stocks. (C) Spatio-temporal distribution of genome segments in NSR infected cells.
Paul J. Wichgers Schreur (167512), Jeroen Kortekaas (475294)   +1 more
core   +1 more source

Microbiome‐mediated plant‐soil feedbacks as a tool for resilient agriculture

iMetaOmics, Volume 3, Issue 3, September 2026.
Translating plant‐soil feedbacks (PSFs) into reliable agricultural management requires shifting from input‐dependent practices toward endogenous, process‐driven crop resilience. To bridge this gap, we propose a predictive framework centered on three strategic interventions: engineering the crop holobiont, diversifying the soil habitat, and deploying ...
Muhammad Asif, Hazrat Bilal, Min Xiao, Lei Dong, Wen‐Jun Li   +4 more
wiley   +1 more source

Ice thickness data in the northern sea route (NSR) for the period 2006–2016

Data in Brief, 2019
This data article includes the datasets of the mean and the standard deviation of ice thickness in a set of sailing zones for a sailing route that goes through the Northern Sea Route (NSR) between Murmansk and Pusan.
Ali Cheaitou, Olivier Faury, Pierre Cariou, Sadeque Hamdan, Gregory Fabbri   +4 more
doaj   +1 more source

Volumetric Microsampling for Patient‐Centric Therapeutic Drug Monitoring in Clinical Pharmacology: A Scoping Review

The Journal of Clinical Pharmacology, Volume 66, Issue 9, September 2026.
Abstract Accurate drug concentration measurement is essential for precision pharmacotherapy, but conventional therapeutic drug monitoring (TDM) requires venous sampling, increasing patient burden, and potentially limiting participation in TDM and model‐informed precision dosing (MIPD).
Hari Prabhath Tummala, Abbie D. Leino, Nathaniel J. Rhodes, Kevin J. Downes, Marc H. Scheetz, Manjunath P. Pai   +5 more
wiley   +1 more source

Ten years of NSR—progress and perspectives

National Science Review, 2023
Bai, Chunli, Poo, Mu-ming
openaire   +2 more sources

3D‐Printed Models in Oral Surgery Simulation Training: A Scoping Review

Journal of Dental Education, Volume 90, Issue 9, Page 1296-1321, September 2026.
ABSTRACT Background Advancements in three‐dimensional (3D) printing have introduced innovative tools for medical and dental education. In dental surgery, 3D‐printed simulation models offer valuable presurgical training. This review explores the scope, study types, key findings, limitations, and future research needs to enhance their application in ...
Shahrzad Rahimizadeh Nahavandi, Leila Gholami, Amir Parham Pirhadi Rad, Morteza Ghojazadeh, Kevin Aminzadeh, Rana Tarzemany   +5 more
wiley   +1 more source

An efficient deep CNN based BiLSTM framework with RanA optimization for accurate cardiac arrhythmia detection

Scientific Reports
Cardiovascular diseases (CVDs) are leading causes of mortality all over the world, and arrhythmias are a leading cause of cardiac mortality. Arrhythmia detection in a timely and accurate manner is essential for medical intervention and plays a very ...
Gowri Shankar Manivannan, Satish V. Talawar, M. G. Vasundhara, A. Karthik Lal, S. M. Gagana, S. K. Hemanth, H. L. Srijan Gowda   +6 more
doaj   +1 more source

An evaluation of the N2O emission reduction potential of enhanced efficiency nitrogen fertilizers and application timing in a semi‐arid cereal cropping system

Journal of Environmental Quality, Volume 55, Issue 5, September/October 2026.
Abstract Efforts to cut fertilizer‐related nitrous oxide (N2O) emissions require sustainable nitrogen (N) management that maintains crop productivity while reducing emissions. Technologies such as enhanced efficiency N fertilizers (EENFs) have potential to support best management practices by improving N use efficiency and lowering N2O emissions.
Erin Daly, Cheyne Ogilvie, Reynald L. Lemke, Richard E. Farrell   +3 more
wiley   +1 more source

Single‐cell marker gene clustering: A unified deep learning framework for marker gene‐based clustering of single‐cell RNA‐sequencing data

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Single‐cell RNA sequencing (scRNA‐seq) has transformed the study of cellular heterogeneity by making it possible to classify individual cells and their functional states. However, the analysis remains difficult because high dropout rates lead to sparse and noisy expression data.
Shahriar Rahman Niloy, Toushif Muktashid Hasan, Md. Saiduzzaman Apu, Fahim Hafiz, Salekul Islam, Riasat Azim   +5 more
wiley   +1 more source

Ground ring for the 2D NSR string

, 1991
31 ...
Bouwknegt, P., McCarthy, J., Pilch, K.
openaire   +2 more sources