Results 231 to 240 of about 2,943,479 (296)

Comparative application of machine learning approaches for body weight prediction in non-descript indigenous goats at different growth stages. [PDF]

Vet World
Louis Tyasi T.
europepmc   +1 more source

Expanding Hereditary Spastic Paraplegias Limits: Biallelic SPAST Variants in Cerebral Palsy Mimics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Hereditary spastic paraplegias (HSP) are rare neurodegenerative disorders marked by spasticity and lower limb weakness. The most common type, SPG4, is usually autosomal dominant and caused by SPAST gene variants, typically presenting as pure HSP.
Gregorio A. Nolasco, Mònica Roldán, Yalda Jamshidi, Ioannis Georvasilis, Rocío Jadraque Rodríguez, Reza Boostani, Ali Shoeibi, Lluís Armengol, Anna Codina, Ehsan Ghayoor Karimiani, Cristina Hernando‐Davalillo, Loreto Martorell, María Luisa Ramírez Almaraz, Jordi Muchart, Carlos Ortez, Andrés Nascimento, Roser Urreizti, Daniel Natera‐de Benito, Mercedes Serrano   +18 more
wiley   +1 more source

Leveraging artificial intelligence to enable sustainable urban development through the creation of smart and environmentally friendly carbon-free cities. [PDF]

Sci Rep
Salhi A, Algarni F, Alshamrani R, Althbiti A, Ismail A, Hassan BM.   +5 more
europepmc   +1 more source

Exosome Proteomics of SOD1D90A Mutation Suggest Early Disease Mechanisms, and FN1 as a Biomarker

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Amyotrophic lateral sclerosis (ALS) is a neuromuscular disease. Super oxide dismutase 1 (SOD1) gene mutations cause ALS, and the D90A mutation is associated with primarily upper motor neuron (UMN) loss. Objective Our goal is to reveal the early cellular events in ALS pathology and identify potential pharmacokinetic biomarkers, using well ...
Mukesh Gautam, Ali Laith, Aslihan Gunel, Melda Yilmaz, Nazli Basak, Halil Idrisoglu, P. Hande Ozdinler   +6 more
wiley   +1 more source

Predictive modelling and high-performance enhancement smart thz antennas for 6 g applications using regression machine learning approaches. [PDF]

Sci Rep
Haque MA, Arafat MM, Das I, Alyami G, Billah M, Singh NSS, Abdallah HA, Ateya AA, Shaman H.   +8 more
europepmc   +1 more source

Growth Differentiation Factor 15 Elevation in the Central Nervous System Is Associated With Failure to Thrive in Alexander Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Alexander disease (AxD) is a severe neurodegenerative disorder caused by gain‐of‐function mutations in the gene for GFAP, which lead to protein aggregation and a primary astrocytopathy. Symptoms vary, but failure to thrive (FTT) and frequent emesis are common and cause significant morbidity. Here we investigate GDF15, a member of the
Tracy L. Hagemann, Michelle M. Sonsalla, Cora Luzinski, Fernando Zacahua, David A. Harris, Dudley W. Lamming, Albee Messing   +6 more
wiley   +1 more source

Enhanced significant wave height prediction in the Southern Ocean using an ANFIS model optimized with subtractive clustering. [PDF]

Sci Rep
Hakimi A, Farjami H.
europepmc   +1 more source

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

High-precision multiple defect detection and localization in composite laminates using integrated piezoelectric sensing, regression and neural networks methods. [PDF]

Sci Rep
Ghazali M, Karamooz Mahdiabadi M.
europepmc   +1 more source

Prediction Model for Etiologic Differentiation of Isolated Vestibular Syndrome in Emergency Settings

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to develop and validate a predictive model for differentiating central from peripheral etiologies in patients with isolated vestibular syndrome (VS). Methods In this multicenter retrospective cohort study, 506 patients with isolated VS from five hospitals were divided into derivation (n = 301) and validation (n = 205)
Guo Wenting, Du Liping, Yang Yi, Hu Jin, Ye Bijun, Wang Jianer, Liu Shuangsi, Guo Shunyuan, Cai Xiaofeng, Wang Huiyuan, Wu Bin, Yu Xiang, Shi Tianming   +12 more
wiley   +1 more source