Results 141 to 150 of about 330,119 (322)

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

Advanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu, Hanxiao Chen, Qichen Yuan, Liucun Yin, Yifang Tao, Hong Wang, Yuquan Xue, Delai Fu, Huan Pang, Tie Chong, Li Xue   +10 more
wiley   +1 more source

Environment-specific genomic prediction ability in maize using environmental covariates depends on environmental similarity to training data. [PDF]

G3 (Bethesda), 2022
Rogers AR, Holland JB.
europepmc   +1 more source

Multiparametric Bioresorbable Sensor for Doxorubicin Detection via Molecularly Imprinted Synthetic Receptors

Advanced Science, EarlyView.
A biodegradable molecularly imprinted polymer porous silica sensor enables dual optical readout of doxorubicin via fluorescence and effective optical thickness shifts. The combined transduction mechanisms provide enhanced reliability and quantitative accuracy over clinically relevant concentrations, representing a step toward transient implantable ...
Martina Corsi, Tiziano Di Giulio, Eleonora Vandini, Muhammad Ibrar Asif, Eleonora Daini, Antonietta Vilella, Giuseppina Leo, Alessandra Ottani, Cosimino Malitesta, Daniela Giuliani, Elisabetta Mazzotta, Giuseppe Barillaro   +11 more
wiley   +1 more source

Distinct Biotypes of Visual Perception in Major Depressive Disorder

Advanced Science, EarlyView.
In a discover dataset (272 acute MDD patients), this work identifies a novel depression biotype characterized by impaired visual motion perception, using machine learning clustering. An independent dataset confirms the robustness of this biotype through cross‐validation and demonstrates its generalizability.
Zhuoran Cai, Xi‐Wen Hu, Yuyang Li, Zheng Lin, Yongjie Li, Yong‐Chun Cai, Tao Xu, Ke Jia, Jin‐Fang Han, Zhong‐Lin Tan, Dezhong Yao, Xue Mei Song, Sugai Liang, Georg Northoff   +13 more
wiley   +1 more source

Environmental Covariates for Sampling Optimization and Pest Prediction in Soybean Crops

AgriEngineering
Insect pest infestations can vary due to spatial differences in microclimates and food availability within agroecosystems. Covariates can reflect these environmental conditions. This study tested whether using environmental covariates in two-phase sample
Cenneya Lopes Martins, Maiara Pusch, Wesley Augusto Conde Godoy, Lucas Rios do Amaral   +3 more
doaj   +1 more source

Changes in Alcohol Retail Laws and Foot Traffic at Liquor Stores

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT We study how expanding alcohol availability at grocery and convenience stores affects consumer traffic in liquor stores by leveraging recent changes in state‐level alcohol distribution laws in a difference‐in‐difference quasi‐experimental design.
Nathan Palardy, Marco Costanigro, Joshua Berning, Jude Bayham   +3 more
wiley   +1 more source

Projecting results of zoned multi-environment trials to new locations using environmental covariates with random coefficient models: accuracy and precision. [PDF]

Theor Appl Genet, 2021
Buntaran H, Forkman J, Piepho HP.
europepmc   +1 more source

Appendix A. Environmental covariates considered for hierarchical models of Cerulean Warbler habitat associations in the prairie–hardwood transition.

, 2016
Wayne E. Thogmartin, John R. Sauer, Melinda G. Knutson   +2 more
openalex   +1 more source

Beyond the Ban—Shedding Light on Smallholders' Price Vulnerability in Indonesia's Palm Oil Industry

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Indonesian government imposed a palm oil export ban in April 2022 to address rising cooking oil prices. This study explores oil palm smallholders' vulnerability to the policy using descriptive statistics, Lasso, and post‐Lasso OLS regressions.
Charlotte‐Elena Reich, Tim Ölkers, Vanessa Bonke, Oliver Musshoff   +3 more
wiley   +1 more source

Mapeamento digital de solos por redes neurais artificiais com base na relação solo-paisagem Digital soil mapping by artificial neural networks based on soil-landscape relationships

Revista Brasileira de Ciência do Solo, 2013
Técnicas de mapeamento digital podem contribuir para agilizar a realização de levantamentos pedológicos detalhados. Objetivou-se com este trabalho obter um mapa digital de solos (MDS) com uso de redes neurais artificiais (RNA), utilizando correlações ...
Gustavo Pais de Arruda, José Alexandre M. Demattê, César da Silva Chagas   +2 more
doaj