Results 61 to 70 of about 12,472 (260)

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Design for Copying Grouser and Bionic Convex Hull Patterns on Track Surfaces of Crawler Combine Harvesters

Agriculture
In the rainy season, which often has uncertain rainfall, crawler combine harvesters have difficulty traversing wet and soft rice fields. A large amount of clay is often accumulated on the track surfaces, resulting in frequent slipping and sinking, which ...
Lulu Yuan, Zhong Tang, Sifan Liu, Ting Wang, Zhao Ding   +4 more
doaj   +1 more source

An Efficient Index Building Algorithm for Selection of Aggregator Nodes in Wireless Sensor Networks

International Journal of Distributed Sensor Networks, 2014
In wireless sensor networks (WSNs), aggregator nodes perform the data aggregation process. Thus, careful selection of the aggregator nodes is needed to reduce network traffic in data aggregation process and prolong overall lifetime of the network.
Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park   +2 more
doaj   +1 more source

Convex hulls in polygonal domains

, 2018
16th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2018)
Barba, Luis, Hoffmann, Michael, Korman, Matias, Pilz, Alexander   +3 more
openaire   +4 more sources

Convex hulls, oracles, and homology

Journal of Symbolic Computation, 2004
This paper presents a new algorithm for the convex hull problem, which is based on a reduction to a combinatorial decision problem POLYTOPE-COMPLETENESS-COMBINATORIAL, which in turn can be solved by a simplicial homology computation. Like other convex hull algorithms, our algorithm is polynomial (in the size of input plus output) for simplicial or ...
Michael Joswig, Günter M. Ziegler
openaire   +2 more sources

Visualizing a Li‐Depleted Amorphous Cathode–Electrolyte Interphase in Sulfide Solid‐State Batteries Using In Situ Cryogenic Electron Microscopy

Advanced Science, EarlyView.
In situ cryogenic STEM‐EELS and electron diffraction directly visualize Li depletion and structural degradation at the NCM523/Li6PS5Cl interface during charging. The results reveal a Li‐depleted amorphous interphase that impedes Li transport, while LiNbOy coating suppresses interfacial degradation and preserves the solid‐electrolyte structure ...
Yuki Nomura, Ryoma Sasaki, Huu Duc Luong, Misaki Hasegawa, Willy Shun Kai Bong, Koji Hiraoka, Kazuo Yamamoto, Yutaka Ito, Yoshiya Fujiwara, Yoshitaka Tateyama, Takuhiro Miyuki   +10 more
wiley   +1 more source

Vine‐Inspired Soft Robotics: Materials, Actuations, and Emerging Applications

Advanced Science, EarlyView.
Vine‐inspired robots grow from the tip, enabling navigation through confined spaces with minimal disturbance. This Review summarizes material and actuation strategies for vine‐inspired growth, key functions including steering, retraction, attachment, branching, and variable stiffness, and emerging applications spanning medical intervention, confined ...
Jiahao Wu, Xingyun Liu, Fangzhou Wang, Huili Ren, Chaojun Zhang, Ziyu Ren, Zunqi Liu, Jing Li   +7 more
wiley   +1 more source

Deephullnet: a deep learning approach for solving the convex hull and concave hull problems with transformer

International Journal of Digital Earth
Convex and concave hulls originating from computational geometry are widely applied in practice. For instance, to determine the boundaries of a geographical area within a group of cities, convex hulls can represent the approximate boundaries of the areas.
Haojian Liang, Shaohua Wang, Song Gao, Huilai Li, Cheng Su, Hao Lu, Xueyan Zhang, Xi Chen, Yinan Chen   +8 more
doaj   +1 more source

LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides

Advanced Science, EarlyView.
An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu, Congran Jia, Yuzhou Hao, Xuejie Li, Yang Wang, Artem Oganov, Jun Sun, Xiangdong Ding, Turab Lookman, Zhibin Gao   +9 more
wiley   +1 more source

Optimizing convex hull discovery: Introducing a quintuple-region algorithm with enhanced computational efficiency

Engineering Science and Technology, an International Journal
This paper introduces a novel algorithm for computing the convex hull of a finite set of points in two-dimensional space. Unlike traditional methods, this algorithm strategically partitions the input set into five distinct regions, isolating interior ...
Fidan Nuriyeva, Hakan Kutucu
doaj   +1 more source