Paying informally in the Albanian health care sector: a two-tiered stochastic frontier model. [PDF]
Tomini S, Groot W, Pavlova M.
europepmc +1 more source
Sampling, Mobility, and Anchoring in Small‐Body Sampling Robots: A Comprehensive Review
Small‐body sampling robots are exploration systems that perform contact, sampling, and stable operations on microgravity bodies such as asteroids and comets. The authors review representative robot architectures and key technologies, focusing on the mechanisms, evolution, and coupling of sampling, mobility, and anchoring.
Yurui Shen +7 more
wiley +1 more source
Evaluation of the operational efficiency and policy innovation of chinese happy farmhouse: From the perspective of business entities. [PDF]
Tian T, Yan H, Xu Y.
europepmc +1 more source
SERS‐Based Nano‐ and Microsystems Toward Biomedical Applications
This review provides a current overview of nano‐ and microscale SERS‐based devices, encompassing all aspects from material design to practical applications. We highlight controlled SERS‐active architectures, including patterned substrates, nanorods, microspheres, micromotors, and microneedles, as well as combinations of these microfluidic systems.
Gohar Soufi +14 more
wiley +1 more source
Evaluating technical efficiency and influencing factors in traditional Chinese medicine hospitals: evidence from Hebei Province, China. [PDF]
Liao Z, Zhou J, Yang H, Hou D.
europepmc +1 more source
Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley +1 more source
Host traits and environmental factors shape infection heterogeneity in wild rat-protozoa networks. [PDF]
Markfeld M +8 more
europepmc +1 more source
A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü +6 more
wiley +1 more source
Leveraging Co-Occurrence to Improve Deep Learning Photo-Identification in Social Animals. [PDF]
Barnhill A +7 more
europepmc +1 more source
We present a quantitative framework combining cost modelling and queueing theory to estimate hourly access costs, waiting times and congestion levels for shared high‐end scientific equipment. The approach is general, illustrated with cryo‐electron microscopy examples, and implemented in an open‐access online calculator to support evidence‐based ...
C. O. S. Sorzano, J. M. Carazo
wiley +1 more source

