Results 61 to 70 of about 438,960 (349)

Legal Standards of New Technologies of Voting in Electoral Process of Estonia

open access: yesУправленческое консультирование, 2018
The article deals with innovative approaches to the study and implementation of the theory and practice of the electoral process of modern technologies of e-democracy and e-voting. The author analyzes legal aspects of e-voting as new technology of voting
Nickolas Sergeyevich Chimarov
doaj  

When the Heat Is On: The Effect of Temperature on Voter Behavior in Presidential Elections

open access: yesFrontiers in Psychology, 2017
Hot temperatures lead to heightened arousal. According to excitation transfer theory, arousal can increase both antisocial and prosocial behavior, depending on the context.
Jasper Van Assche   +5 more
doaj   +1 more source

Pricing Dynamics in the US Hemp Market: A Vertical Price Transmission Analysis of the Hemp Value Chain

open access: yesAgribusiness, EarlyView.
ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase   +2 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

On infinite generativeness of quinary fractions in a class of probability transformers

open access: yesИзвестия высших учебных заведений. Поволжский регион: Физико-математические науки, 2021
Background. The object of the research is the expressibility of rational probabilities by transforming random variables with distributions from some initial set by Boolean functions.
E.E. Trifonova
doaj   +1 more source

Inverse problems in voting theory [PDF]

open access: yesAIP Conference Proceedings, 2019
In this paper we deal with certain inverse problems arising in the use of bi-proportional apportionment systems. These are highly sensitive integer problems and their solution allows to determine approximately the number of regional party seats in different electoral regions on the base of representative nation-wide predictions for the total number of ...
Konstantinov M.   +3 more
openaire   +2 more sources

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Consensus-based methods for distributed systems, blockchain, and voting: a survey

open access: yesJournal of Information and Telecommunication
Condorcet and Borda first introduced the consensus theory in the eighteenth century when they studied voting systems. Consensus problems have been investigated for a long time in many fields such as economics, sociology, computer science, bioinformatics,
Dai Tho Dang, Dosam Hwang
doaj   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone   +11 more
wiley   +1 more source

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