Results 151 to 160 of about 114,712 (258)

The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data [PDF]

The increasing attention given to global energy issues and the international policies needed to reduce greenhouse gas emissions have given a renewed stimulus to research interest in the linkages between the energy sector and economic performance at ...
Valeria Costantini, Chiara Martini
core  

IOL Calculators Variability in Toric Lens Planning: A Retrospective Paired Comparison of the Planning Discrepancies Between the Johnson & Johnson Toric Calculator and ESCRS-Hosted Engines. [PDF]

Clin Ophthalmol
Klimek M, Tamberger M, Schauer S, Botic D, Mihaltz K, Vécsei-Marlovits PV.   +5 more
europepmc   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

A vector error correction forecasting model of the U.S. economy [PDF]

Any research or policy analysis in economics must be consistent with the time-series properties of observed macroeconomic data. Numerous previous studies of such time series reinforce the need to specify correctly a model's multivariate stochastic ...
Dennis L. Hoffman, Richard G. Anderson, Robert H. Rasche   +2 more
core  

Robust Adaptive Beamforming Algorithm Based on Improved Generalized Linear Combination. [PDF]

Sensors (Basel)
Gao Z, Zuo R, Huang P, Xu W, Tan W, Wu Z.   +5 more
europepmc   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Problems Related to Over-identifying Restrictions for Structural Vector Error Correction Models [PDF]

Structural vector autoregressive (VAR) models are in frequent use for impulse response analysis. If cointegrated variables are involved, the corresponding vector error correction models offer a convenient framework for imposing structural long-run and ...
Helmut Luetkepohl
core  

Information-Driven Rule Reduction in Belief Rule Bases for Complex System Modeling. [PDF]

Entropy (Basel)
Liu X, Huang H, Li Y, Xia Z, Zhao S.
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Expanding optimization ensemble model methods for forecasting seasonal influenza in the U.S. [PDF]

Infect Dis Model
Longaou BB, Löster R, Yue P, Lyver D, van Bommel CM, Thommes EW, Cojocaru MG.   +6 more
europepmc   +1 more source