Results 41 to 50 of about 2,560,078 (294)
Human water demand constrains China's feasible afforestation potential more strongly than is commonly recognized, and future climate change further intensifies this limitation. Integrating land‐use optimization with water‐saving measures substantially expands feasible afforestation area and associated carbon sinks, revealing a practical pathway to ...
Binbin Huang +5 more
wiley +1 more source
Creating trust and distrust in internet voting: a Q-methodological study from Estonia
This article investigates how trust and distrust in internet voting are constructed in Estonia, the only country to have used nationwide internet voting in legally binding elections for two decades.
David Dueñas-Cid, Bogdan Romanov
doaj +1 more source
Refined data are extracted from CIF files to construct a hierarchical machine‐learning framework integrating sublattice classification, Fe‐site occupancy prediction, and reliability assessment. External validation yields 96% accuracy for sublattice classification and a macro mean absolute error of 0.0584 for Fe‐site prediction.
Dan Liu +9 more
wiley +1 more source
Electronic, internet-based voting
S.135-184E-voting, and in particular Internet-based remote voting, has been a controversial topic since its early beginnings more than a decade ago. For instance, many proponents of Internet voting argue that the introduction of an online voting channel ...
Beckert, Bernd +2 more
core +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Electronic voting (e-voting) systems have significantly improved the traditional voting process by addressing key concerns such as security, public acceptability, and convenience.
Mosbah Alown +2 more
doaj +1 more source
Physics‐Guided Modeling of Temperature‐Dependent Electrical Conductivity of Functional Oxides
This complete workflow presents an automated, data‐driven screening of functional oxides based on their predicted electrical conductivity. A curated dataset is fed into TriCondNet, a charge‐transport, physics‐guided neural network that classifies an input composition's conduction mechanism and then simulates its conductivity–temperature profile.
Elias Assaad +6 more
wiley +1 more source
Blockchain for Electronic Voting System—Review and Open Research Challenges
Online voting is a trend that is gaining momentum in modern society. It has great potential to decrease organizational costs and increase voter turnout. It eliminates the need to print ballot papers or open polling stations—voters can vote from wherever ...
Uzma Jafar +2 more
doaj +1 more source
Policy uncertainty shocks and farm investments in Europe: Evidence from a newspaper‐based index
Abstract In order to quantify the impact of agricultural policy uncertainty on European farmers' investment behavior, we construct a newspaper‐based monthly index of European agricultural policy uncertainty from 2013 to 2023. We use 327,224 newspaper articles to assess and compare the trends in policy uncertainty across five top agricultural producers ...
Viviana Garcia +2 more
wiley +1 more source

