Results 141 to 150 of about 2,419,332 (252)

Technology‐Driven Transformation of Compensation Systems: Mapping the Causal Structure of Digital Reward Systems

Strategic Change, EarlyView.
ABSTRACT Traditional reward systems, which are largely salary‐centered and structurally rigid, are no longer sufficient in an era defined by digital transformation. Building on this premise, this study examines how emerging technologies reshape integrated compensation systems by uncovering their causal, mediating, and outcome‐oriented roles.
Seyed Hossein Razavi Hajiagha, Hannan Amoozad Mahdiraji, Farzaneh Soltani, Gu Pang, Georgia Sakka, Salar Keshavarz Hedayati   +5 more
wiley   +1 more source

Intrinsically Design‐Rule‐Compliant Nanophotonic Inverse Design via Learned Generative Manifolds

Laser &Photonics Reviews, EarlyView.
A generative reparameterization framework for nanophotonic inverse design is introduced, restricting optimization to a learned manifold of design‐rule‐compliant geometries. Unlike conventional penalty‐based approaches, fabrication constraints are encoded intrinsically within the design representation.
Bahrem Serhat Danis, Demet Baldan Desdemir, Enes Akcakoca, Zeynep Ipek Yanmaz, Gulzade Polat, Ahmet Onur Dasdemir, Aytug Aydogan, Abdullah Magden, Emir Salih Magden   +8 more
wiley   +1 more source

Topology-optimized dielectric cavities for enhanced excitonic light emission from WSe₂. [PDF]

Light Sci Appl
Matthiessen O, Triplett B, Yesilyurt O, Cassara D, Pagadala K, Yang MM, Llacsahuanga Allcca AE, Ather H, Fruhling C, Solanki AB, Chen YP, Alaeian H, Kildishev AV, Shalaev VM, Capasso F, Boltasseva A, Mkhitaryan V.   +16 more
europepmc   +1 more source

A Self‐Evolving Agentic Framework for Metasurface Inverse Design

Laser &Photonics Reviews, EarlyView.
Turning a target optical response into working inverse‐design code normally demands specialized computational‐electromagnetics and software‐engineering expertise. A self‐evolving agentic framework lowers this barrier: from a natural‐language request, it writes the optimization code that drives a physical solver and improves itself by revising human ...
Yi Huang, Bowen Zheng, Yunxi Dong, Hong Tang, Huan Zhao, S. M. Rakibul Hasan Shawon, Hualiang Zhang   +6 more
wiley   +1 more source

Adaptive Localization for Underwater Nodes in Uncertain Environments: A Geometric Topology Perception-Enhanced Multi-Stage Reinforcement Learning Strategy. [PDF]

Sensors (Basel)
Hao L, Ma C, Cui J, Ao J.
europepmc   +1 more source

Low‐Crosstalk Silicon Photonic Switch Fabrics for AI Datacenters and High‐Capacity Optical Interconnects: Device‐Level Origins and Mitigation

Laser &Photonics Reviews, EarlyView.
Scaling silicon photonic switch fabrics for AI datacenters is fundamentally constrained by accumulated crosstalk, insertion loss, and device‐level non‐idealities. This work establishes a device‐to‐link‐to‐system framework that connects the physical origins of crosstalk to practical mitigation strategies across device, circuit, and control levels.
Peng Bao, Bohao Sun, Tianqian Zhang, Tongyun Li, Richard J. Zhang, Yue Lu, Chenxi Tan, Alan Yilun Yuan, Lingzhi Luo, Ming Luo, Jin Tao, Hanbing Li, Seb J. Savory, Wei Chu, Richard Penty, Qixiang Cheng   +15 more
wiley   +1 more source

Design of a 3D Aggregation Backbone Network-on-Chip Architecture for High-Speed Data Acquisition Systems. [PDF]

Micromachines (Basel)
Deng Y, Xu C, Mo W, Wan C.
europepmc   +1 more source

Mass Spectrometry‐Based Extracellular Vesicle Proteomics for Biomarker Discovery

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Extracellular vesicle (EV) proteomics has emerged as a powerful platform for decoding intercellular communication and advancing biomarker discovery across human diseases. EVs carry proteins that reflect their cells of origin, offering a minimally invasive window into physiological and pathological processes.
Ya‐Juan Liu, Juan Peng, Chao Kang
wiley   +1 more source

A stochastic model for dynamic reconfiguration of multi-microgrid networks under demand and supply uncertainties. [PDF]

Sci Rep
Yahia Z, Gheith M.
europepmc   +1 more source

Interdiction Models and Heuristics for Graph Propagation

Networks, EarlyView.
ABSTRACT Given a graph G=(V,E)$$ G=\left(V,E\right) $$ and a set S⊂V$$ S\subset V $$ of activated/infected nodes, we consider the problem of determining the set of c$$ c $$ nodes that minimizes the network propagation on the subgraph that results from the removal of those c$$ c $$ nodes. To measure network propagation, we assume that a node i$$ i $$ is
Agostinho Agra, José Maria Samuco
wiley   +1 more source