Disparities in Echinococcosis Control in Xizang, China: An Assessment Based on the Health Resource Density Index. [PDF]
Wang Z +7 more
europepmc +1 more source
[Skin disease in agricultural workers].
openaire +2 more sources
Diseases of agricultural workers prevention proposals
Grieco, G. +5 more
openaire +2 more sources
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Employment type and non-compliance with SARS-CoV-2 diagnostic testing: insights from a nationwide seroprevalence study in South Korea. [PDF]
Jang Y +11 more
europepmc +1 more source
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad +5 more
wiley +1 more source
Fuimos olvidados y descuidados [Forgotten and Neglected]: Lessons Learned and Findings From On-Farm COVID-19 Education and Vaccine Clinics for Agricultural Workers and Their Multigenerational Families in Texas. [PDF]
Rodriguez A +17 more
europepmc +1 more source
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley +1 more source
A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad +4 more
wiley +1 more source
Assessing postural loads and musculoskeletal disorders in saffron harvesters: a prospective repeated-measures observational study using an agricultural-specific tool. [PDF]
Jalali M +4 more
europepmc +1 more source

