Results 271 to 280 of about 4,857,354 (360)

SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas, Pablo Iruzubieta, Alberto Damborenea, Laura Pérez‐Fernández, Inmaculada Azorín, Juan Carlos Jiménez García, Ana Töpf, Pilar Martí, Lorena Fores‐Toribio, María Manterola, Rosana Blanco‐Mañez, Oihane Pikatza‐Menoio, Sonia Alonso‐Martín, Volker Straub, Aitziber L. Cortajarena, Adolfo López de Munain, David De Sancho, Lorea Blázquez, Juan J. Vilchez   +18 more
wiley   +1 more source

Analyses of crop yield dynamics and the development of a multimodal neural network prediction model with G×E×M interactions. [PDF]

Front Plant Sci
Sajid SS, Khalilzadeh Z, Wang L, Hu G.
europepmc   +1 more source

Extracting important features for crop yield prediction with convolutional neural networks on remote sensing and meteorological data

, 2019
Aleksandra Wolanin, Luis Guanter, Gustau Camps‐Valls, Grégory Duveiller   +3 more
openalex   +1 more source

The MMP‐9/TIMP‐1 Ratio and Concentrations of Osteopontin Are Elevated in Cerebrospinal Fluid of People With Multiple Sclerosis and Decrease After Autologous Hematopoietic Stem Cell Transplantation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the utility of cerebrospinal fluid (CSF) biomarkers—matrix metalloproteinase‐9 (MMP‐9), tissue inhibitor of metalloproteinases‐1 (TIMP‐1), the MMP‐9/TIMP‐1 ratio, and osteopontin (OPN)—as indicators of blood–brain barrier (BBB) integrity and disease activity in people with relapsing–remitting multiple sclerosis (pwMS ...
Ivan Pavlovic, Ida Erngren, Kim Kultima, Anders Larsson, Malin Müller, Anna Wiberg, Joachim Burman   +6 more
wiley   +1 more source

On-device AI for climate-resilient farming with intelligent crop yield prediction using lightweight models on smart agricultural devices. [PDF]

Sci Rep
Dhanaraj RK, Maragatharajan M, Sureshkumar A, Balakannan SP.   +3 more
europepmc   +1 more source

Biomass yield and soil microbial response to management of perennial intermediate wheatgrass (Thinopyrum intermedium) as grain crop and carbon sink

, 2019
Galen Bergquist
openalex   +1 more source

Estimation of rice yield by SIMRIW-RS, a model that integrates remote sensing data into a crop growth model

, 2017
Masayasu Maki, Sekiguchi Kosuke, Koki Homma, Yoshihiro Hirooka, Kazuo Oki   +4 more
openalex   +2 more sources

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Genetic Engineering for Cereal Crop Yield Improvement and Disease Resistant Breeding. [PDF]

ScientificWorldJournal
Limenie AD, Alehegn M.
europepmc   +1 more source