Results 71 to 80 of about 5,083 (261)

Less than 4% of dryland areas are projected to desertify despite increased aridity under climate change

open access: yesCommunications Earth & Environment
Drylands have low biological productivity compared to non-drylands, making many human activities within them sensitive to long-term trends. Trends in the Aridity Index over several decades indicate increasing aridity in the drylands, which has been ...
Xinyue Zhang   +2 more
doaj   +1 more source

Computer Assisted Learning on Aridity Disaster Learning Using SIMIA (Satellite Imagery for Modelling Index of Aridity)

open access: yesJournal of Physics: Conference Series, 2019
Abstract The purpose of this study is to develop Computer Assisted Learning (CAL) to identify aridity using Satellite Imagery Modelling Index of Aridity (SIMIA) media. SIMIA is a system used to model area of aridity by using of rainfall data from observation of rain and vegetation index extracted by satellite image of LANDSAT 8 OLI and ...
M C Paseleng   +2 more
openaire   +1 more source

Neuromodulator Dynamics Underlying Associative Learning in the Ventral Striatum's Olfactory Tubercle

open access: yesAdvanced Science, EarlyView.
Using fiber photometry and genetically encoded sensors, the dynamic release patterns of four neuromodulators in the olfactory tubercle (OT)—a brain region overlapping with the olfactory cortex and ventral striatum—were systematically monitored in response to external rewards and distinct reward‐associated learning processes.
Maojun Hong   +7 more
wiley   +1 more source

Selective Electrolysis of Water Under Artificial Seawater Conditions Using Transition Metal Borate Anodes

open access: yesAdvanced Energy Materials, EarlyView.
The borate‐based cobalt‐iron catalyst promotes selective oxidation of water rather than chlorine evolution reaction during electrolysis of seawater. When integrated into a zero‐gap electrolyzer prototype, this catalyst supports robust splitting of artificial seawater into oxygen and hydrogen on an extended timescale.
Ananta R. Fareza   +10 more
wiley   +1 more source

Integrated spatial analysis of drought risk factors using agglomerative hierarchical clustering and correlation

open access: yesEnvironmental Advances
Drought results from the complex interplay between climatic variability and human activities, further intensified by hydro-meteorological and socio-economic interactions.
Saowanee Wijitkosum
doaj   +1 more source

Temperature and Farm Labor in Nigeria

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT We estimate the impact of temperature shocks on the composition of farm labor in rural Nigeria using a nationally representative household panel survey. Leveraging plausibly exogenous year‐to‐year variation in growing season temperatures, we find that warmer temperatures significantly alter farm labor composition, prompting a substantial shift
Andu Berha
wiley   +1 more source

Kenyan Farmers' Policy Priorities During Economic Crisis and Stability: Insights From a Best‐Worst Scaling Experiment

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia   +4 more
wiley   +1 more source

Examining the Impact of Row Planting on Labor Use for Sustainable Food Production Among Maize Farmers in Rural Ghana

open access: yesAgribusiness, EarlyView.
ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah   +4 more
wiley   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

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