Results 191 to 200 of about 3,154,862 (212)

Identification of (20R)‐protopanaxadiol from Panax ginseng as a novel anti‐SARS‐CoV‐2 compound

FEBS Open Bio, EarlyView.
We established a noninfectious BAC‐based SARS‐CoV‐2 replicon that enables antiviral screening under BSL‐2 conditions. Using this platform, we screened 373 food‐derived compounds and identified (20R)‐protopanaxadiol from Panax ginseng as a novel inhibitor of SARS‐CoV‐2 RNA replication, highlighting the value of safe replicon systems for antiviral ...
Midori Takeda, Natsue Maezono, Rina Uchikoshi, Nobuyuki Kato, Masanori Ikeda   +4 more
wiley   +1 more source

Evolution‐guided yeast complementation reveals functional differences in human PSPH variants

FEBS Open Bio, EarlyView.
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez, Diana Ascencio, Miguel Vallebueno‐Estrada, Eduardo González‐Orozco, Christian Eduardo Martínez‐Guerrero, Rafael Montiel, Alexander DeLuna   +6 more
wiley   +1 more source

A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction [PDF]

IEEE Access, 2021
An early and reliable estimation of crop yield is essential in quantitative and financial evaluation at the field level for determining strategic plans in agricultural commodities for import-export policies and doubling farmer’s incomes.
Bifta Sama Bari, Yusri Yusup, Mohamad Anuar Kamaruddin   +2 more
exaly   +2 more sources

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

Sensors, 2019
Yield prediction is of great significance for yield mapping, crop market planning, crop insurance, and harvest management. Remote sensing is becoming increasingly important in crop yield prediction.
Yonglin Shen, Ziheng Sun, Liping Di
exaly   +2 more sources

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A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering

International Journal of Applied Earth Observation and Geoinformation, 2023
Bingfang Wu, Xingli Qin, Fangming Wu
exaly  

Colonoscopies for patients aged 45–49 years yield positive results

Ca-A Cancer Journal for Clinicians, 2022
Mike Fillon
exaly  

Crop yield prediction using machine learning: A systematic literature review

Computers and Electronics in Agriculture, 2020
Çağatay Çatal, Ayalew Kassahun
exaly  

Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods

Computers and Electronics in Agriculture, 2022
Yaqoob Majeed, Longsheng Fu, Zhenchao Wu
exaly  

A Systematic Literature Review on Crop Yield Prediction with Deep Learning and Remote Sensing

Remote Sensing, 2022
Srimannarayana Grandhi, Santoso Wibowo, Nahina Islam   +2 more
exaly  

Yield prediction with machine learning algorithms and satellite images

Journal of the Science of Food and Agriculture, 2021
Alireza Sharifi
exaly