Results 111 to 120 of about 74,863 (268)
This study combines replicated experimental manipulation, social network analysis, network permutations and meta‐analysis to disentangle active from spatially‐induced changes in animal network structure in the wild. It reveals that short‐term environmental changes primarily alter space use, with limited effects on social structure.
Camille N. M. Bordes +6 more
wiley +1 more source
For crossed roller bearings, manual assembly has problems such as low efficiency, high cost and large error, a four-degree-of-freedom robotic arm was designed to automatically assemble cross roller bearings.
Hu Jiangtao +3 more
doaj
Owing to its high energy efficiency, regenerative capability, and fast dynamic response, the Electromagnetic Energy-Feeding Shock Absorber has found widespread application in automotive suspension control systems.
Wenqiang Zhang +5 more
doaj +1 more source
Self-concatenated code design and its application in power-efficient cooperative communications
In this tutorial, we have focused on the design of binary self-concatenated coding schemes with the help of EXtrinsic Information Transfer (EXIT) charts and Union bound analysis.
Butt, Muhammad Fasih +2 more
core +1 more source
We decode mitochondrial genomes across all extant canids, revealing lineage‐specific codon optimization driven by altitude, predation, and body size. A tripartite framework integrates geological events, metabolic constraints, and adaptive radiation to explain carnivore evolution.
Xiaoyang Wu +8 more
wiley +1 more source
Social rank in greater long‐tailed hamsters (Tscherskia triton) shapes gut microbiota composition and metabolite profiles. Dominant males exhibit a “high‐vigilance, metabolically activated” phenotype, with elevated aggression and specific gut microbiota enriched in energy‐harvesting taxa and fecal queuine.
Da Zhang, Xiaoming Xu, Zhibin Zhang
wiley +1 more source
Different Meta-Heuristic Optimized Radial Basis Function Neural Network Models for Short-Term Power Consumption Forecasting [PDF]
Accurate forecasting of electricity consumption is crucial for refined planning and improved transmission and distribution efficiency. Power consumption data, being nonstationary and nonlinear, is significantly affected by factors such as seasons and ...
Dhivagar Shanmugam, V Ramana
doaj +1 more source
Machine-z: Rapid Machine Learned Redshift Indicator for Swift Gamma-ray Bursts
Studies of high-redshift gamma-ray bursts (GRBs) provide important information about the early Universe such as the rates of stellar collapsars and mergers, the metallicity content, constraints on the re-ionization period, and probes of the Hubble ...
Gehrels, N. +2 more
core +1 more source
To achieve the goal of allocating the generation capacity of isolated renewable energy system microgrids in a stable, economical, and clean manner, an optimization model considering economic costs, environmental protection, and power supply reliability ...
Jia Lu +3 more
semanticscholar +1 more source
Where leopards die: identifying mortality hotspots in northern Pakistan
The relevance of this work to conservation policy and practice is twofold. First, it offers concrete spatial insights that can directly inform the design of targeted mitigation strategies and proactive interventions. Second, it highlights the limitations of current protected area networks and underscores the urgent need to incorporate human‐dominated ...
Muhammad Kabir +5 more
wiley +1 more source

