Results 161 to 170 of about 3,492,245 (278)

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

open access: yesFood Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob   +4 more
wiley   +1 more source

Disturbance from restoration reseeding is associated with short‐term topsoil carbon loss and alters soil bacterial communities and functions in degraded alpine meadows of the Qinghai–Xizang Plateau

open access: yesGrassland Research, EarlyView.
Restoration reseeding of degraded alpine meadows increased aboveground vegetation but was associated with short‐term topsoil carbon loss, coinciding with a microbial strategy shift from resident carbon‐preserving to carbon‐spending bacterial guilds. Abstract Background Restoration of degraded ecosystems is widely promoted as a nature‐based solution ...
Long‐Tao Zhu   +9 more
wiley   +1 more source

From Physiology to Bioheat Simulation: A Data‐Driven Framework for Core Temperature Initialization

open access: yesHeat Transfer, EarlyView.
ABSTRACT Accurate initialization of core body temperature is a critical yet often overlooked component of bioheat transfer models, particularly when such models are applied to heterogeneous populations and real‐world environmental conditions. Conventional bioheat simulations typically rely on fixed or idealized core body temperature values derived from
David S. Rodríguez   +6 more
wiley   +1 more source

Modeling the Nexus Between Climate Risk, Energy Consumption, and Financial Market Performance in Emerging Countries

open access: yesInternational Studies of Economics, EarlyView.
Abstract This paper examines the link between climate risk, energy consumption, and financial market performance in a sample of emerging countries over the period 2000–2024. The objective is to model the dynamic interactions between these three dimensions, in order to understand the extent to which energy dependence and exposure to climate risks ...
Abdelkader Mohamed Derbali
wiley   +1 more source

Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT Peer influence on effort devoted to some activity is often studied when effort is unobserved, and the researcher instead observes an outcome that combines effort with other shocks. For instance, in education, achievement measures such as GPA reflect both effort and idiosyncratic GPA shocks.
Aristide Houndetoungan   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy