Results 61 to 70 of about 2,439 (256)

Pharmacological Inhibition of FKBP51 Mitigates Early Life Adversity‐Induced Social Deficits in Male Mice

Advanced Science, EarlyView.
Early life adversity triggers persistent social subordination and brain‐wide molecular dysregulation. Pharmacological inhibition of the stress‐mediator FKBP51 during the adversity period prevents these long‐term deficits and restores normative social hierarchy.
Joeri Bordes, Xiuqi Ji, Serena Gasperoni, Choham Sudre‐Chinsky, Amirali Kalbasi, Daniela Harbich, Cornelia Flachskamm, Paula Fontanet, Sowmya Narayan, Manfred Uhr, Christian Namendorf, Camilla Bellone, Alon Chen, Felix Hausch, Juan Pablo Lopez, Mathias V. Schmidt   +15 more
wiley   +1 more source

Spatial Analysis of Rain Gauge Networks: Application of Uniform and Poisson Distributions [PDF]

Journal of Korean Society of Hazard Mitigation, 2011
This study compared spatial distribution characteristics of three nationwide rain gauge networks of Ministry of Land, Transportation and Maritime Affairs (MLTM), Korea Meteorology Agency (KMA), and local governments. As methodologies, both quadrat method and nearest neighbor method were applied along with Poisson and uniform probability distributions ...
Chul-Sang Yoo, Ji-Ho Lee, Dong-Min Yang, Jae-Hak Chung   +3 more
openaire   +1 more source

Thin‐Film Transistor Based Active Taxel for Multimode Tactile Perception and Fused Processing

Advanced Science, EarlyView.
Skin serves as the largest‐area organ for human and embodied intelligent robots, providing tactile interaction. An active multimode fused (AMF) artificial skin is developed using standard TFT processes, featuring 2T‐1C taxels with optical and electrostatic capacitive receptors for cross‐modal sensing.
Sihao Wu, Zheng Zhou, Aoran Xu, Lutong Wang, Tingchen Yi, Chuanlin Sun, Haotong Zhu, Jiaqi Li, Junchen Dong, Li Zhou, Lifeng Liu, Yimao Cai, Dedong Han, Xing Zhang   +13 more
wiley   +1 more source

The Influence of Rain Gauge Network Density on the Performance of a Hydrological Model

Computational Water, Energy, and Environmental Engineering, 2018
Rain gauge data suffers from spatial errors because of precipitation variability within short distances and due to sparse or irregular network. Use of interpolation is often unreliable to evaluate due to the aforementioned irregular sparse networks. This study is carried out in the Nette River catchment of Lower Saxony to alleviate the problem of using
George Andiego, Muhammad Waseem, Muhammad Usman, Nithish Mani   +3 more
openaire   +2 more sources

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

COMPARISON OF MEAN RAIN CATCH OF VARIOUS GAUGE NETWORKS

Hydrology Research, 1974
After the substitution of stereo for horizontal orifices of rain gauges on open steep slopes, the mean network catch in a subbasin with prevailing windward exposure was increased by 11%. In a subbasin with leeward exposure it was increased by only 4%.
openaire   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Why should space-time variability of rainfall be considered in precision agriculture for soybean in Piracicaba, São Paulo state? [PDF]

Scientia Agricola
Brazil ranks among the world's largest soybean producers; however, significant gaps in crop yield still exist, primarily linked to weather conditions. This study quantifies rainfall spatial variability using two dense networks of rain gauges and examines
Thais Letícia dos Santos, Rafael Battisti, Klaus Reichardt, Ivo Zution Gonçalves, Victor Proença do Amaral, Felipe Gustavo Pilau   +5 more
doaj   +1 more source

Optimal Design of a Rain Gauge Network Models: Review Paper

Journal of Physics: Conference Series, 2019
Abstract Improved streamflow forecasting is considered an important task for researchers and water resources managers. However, streamflow forecasting is often challenging owing to the complexity of hydrologic systems. The accuracy of streamflow forecasting mainly depends on the input data from rainfall.
Nor Sofiza Abu Salleh, Mohd Khairul Bazli Mohd Aziz, Noraziah Adzhar   +2 more
openaire   +1 more source

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

Applied 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, John Olwande, Jacob Ricker‐Gilbert, David L. Mather, Nicole M. Mason   +4 more
wiley   +1 more source