Results 131 to 140 of about 498,203 (311)

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

open access: yesAdvanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen   +15 more
wiley   +1 more source

Demand Potential for Goat Meat in Southern States: Empirical Evidence from a Multi-State Goat Meat Consumer Survey

open access: yes
A survey conducted in 11 Southeastern states elicits consumers' demand and preferences for various goat meat products. The data permit examination of goat meat demand of ethnic populations and the diversity among the states surveyed.
Nelson, Mack C., Liu, Xuanli
core  

On Determination Method for Resolution of Secondary Electron Images in Scanning Electron Microscopy

open access: yesAdvanced Science, EarlyView.
An idealized SEM, termed Rayleigh's microscope, is constructed by Monte Carlo simulation to represent imaging conditions that just satisfy the Rayleigh criterion. Based on this physically defined model, sharpness–resolution conversion curves are established and combined with the Rose criterion, enabling automated resolution evaluation from practical ...
Tongfang Yang, Yanbo Zou, Zejun Ding
wiley   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

STRATEGIC POSITIONING OF THE NAMIBIAN RED MEAT INDUSTRY BY 2005

open access: yes
Red meat is international business and meat companies in Namibia are global role players. Poultry consumption increased at the expense of beef primarily because of consistency and pricing, while larger beef and sheep meat suppliers are making inroads in ...
Strydom, P.J., Museler, D.L.
core  

About meat : facts and figures about the meat packing industry and its products.

open access: yes, 1953
Cover title.Mode of access ...
American Meat Institute.
core  

Cis‐ and Trans‐Regulatory Factors Independently Shape Phenotypic Heterogeneity of Retinitis Pigmentosa

open access: yesAdvanced Science, EarlyView.
A zebrafish model carrying an identical human RHO S334X allele reveals two independent genetic layers shaping retinitis pigmentosa (RP) severity: a protective 3‐bp cis‐regulatory insertion that attenuates transgene expression, and a dominant trans‐acting modifier that restores a severe phenotype.
Cong Cui   +9 more
wiley   +1 more source

Meat Consumption Patterns and Intentions for Change Among Finnish Consumers

open access: yes
During the past few decades, meat has increasingly become a subject of controversies relating to health and safety, environment, and animal welfare. Even though these changes in perceptions of meat are not yet visible in aggregate consumption figures ...
Makela, Jarmo   +7 more
core  

A Bioinspired Three‐Dimensional High‐Curvature Nano‐Interface Integrated Microfluidic Chip for Small Extracellular Vesicles Enrichment and Machine Learning‐Assisted Prostate Cancer Precision Diagnosis

open access: yesAdvanced Science, EarlyView.
A biotin‐modified artificial insertion peptide functionalized three‐dimensional high‐curvature‐TiO2 nano‐interface was engineered in a microfluidic chip to improve the isolation efficiency of small extracellular vesicles (sEVs). This chip balanced affinity, releasability, and extendibility, enabling high‐throughput recovery of sEVs for downstream ...
Le Wang   +7 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

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