Results 121 to 130 of about 1,405,758 (306)

Designing for complexity and uncertainty – policy instruments for complex environmental issues

Policy Design and Practice
This paper explores the difficulties of designing effective policies to address complex environmental policy challenges under conditions of uncertainty.
Brian W. Head
doaj   +1 more source

A NeuroD1 AAV‐Based Gene Therapy for Functional Brain Repair in Alzheimer's Disease‐Like Non‐Human Primate Model

Advanced Science, EarlyView.
This study tests NeuroD1 AAV‐based gene therapy in a non‐human primate Alzheimer's disease model. The therapy prevents neuronal damage, inhibits hippocampal atrophy, and reduces neuroinflammation. It also repairs vascular and blood‐brain barrier damage, restores cerebrospinal fluid biomarkers, enhances hippocampal glucose metabolism, and improves ...
Zhouquan Jiang, Yongpeng Qin, Bin Luo, Fan Bai, Jiangyue Liu, Long Ma, Shu He, Rongjie Chen, Yuchen Wang, Shanggong Liu, Ying Sun, Yi Chen, Shuo Zhang, Jiaqi Liang, Feng Liao, Huiyi Wei, Junjie Wei, Lu Wang, Hao Xu, Zheng Wu, Gong Chen, Wenliang Lei   +21 more
wiley   +1 more source

A Discrete Model of Replenishable Resource Management Under Uncertainty [PDF]

This paper examines issues in the management of replenishable resources under uncertainty. The stochastic resource dynamics are given by the discrete-time counterpart of the classic logistic growth model.
Smith, J. Barry
core   +1 more source

Climate policy costs of spatially unbalanced growth in electricity demand: the case of datacentres. ESRI Working Paper No. 657 March 2020 [PDF]

, 2020
We investigate the power system implications of the anticipated expansion in electricity demand by datacentres. We perform a joint optimisation of Generation and Transmission Expansion Planning considering uncertainty in future datacentre growth under ...
Fitiwi, Desta, Lynch, Muireann A.
core  

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Monetary Policy Under Uncertainty in Micro-Founded Macroeconometric Models [PDF]

We use a micro-founded macroeconometric modeling framework to investigate the design of monetary policy when the central bank faces uncertainty about the true structure of the economy.
Alexei Onatski, Andrew T. Levin, John C. Williams, Noah Williams   +3 more
core  

Optimal Grazing Exclusion Duration to Enhance Soil Carbon Sequestration in Degraded Grasslands

Advanced Science, EarlyView.
Across China, grazing exclusion reaches the national mean soil organic carbon recovery benchmark sooner in high‐MAP regions (> 500 mm), but recovery is much slower where MAP < 300 mm. Scaling this strategy to 70% of China's degraded grasslands would sequester about 1.52 Pg of soil carbon over 10 years—roughly 17% of annual global fossil‐fuel emissions.
Bin Zhang, Chongzhi Sun, Dongmei Xue, Paul Christiaan Struik, Tongrui Zhang, Jiayue Liu, Tingting Xing, Ziyang Liu, Shiming Tang, Ke Jin   +9 more
wiley   +1 more source

Optimal Policy Under Model Uncertainty

, 2007
In this paper we propose a novel methodology to analyze optimal policies under model uncertainty in micro-founded macroeconomic models. As an application we assess the relevant sources of uncertainty for the optimal conduct of monetary policy within (parameter uncertainty) and across models (specification uncertainty) using EU 13 data.
Kriwoluzky, Alexander, Stoltenberg, Christian   +1 more
openaire   +1 more source

Policy Design as an Irreversible Investment Under Uncertainty: Norwegian Agriculture and the WTO [PDF]

This paper is concerned with the timing of an agricultural policy reform under uncertainty. The focus is on the opportunity cost of giving up the option to wait when implementing a policy reform.
Mittenzwei, Klaus
core   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source