Results 41 to 50 of about 6,320 (254)
Социальная психология и общество, 2022 Objective. To analyze the effect of privacy violation experience on privacy-protective behaviorsBackground. In the era of rapid development of Internet technologies, privacy issues call for scientific reflection. Understanding the factors that
Y.E. Sinyavskaya
doaj +1 more source
Nanopore‐Based Protein Deceleration and Sensing Using Graphene/Si3N4 Dual Membrane Cavity
Advanced Science, EarlyView.A graphene/Si3N4 dual membrane cavity system achieves multi‐stage protein deceleration through spatial geometry. Multi‐level current traces provide high‐resolution spatial localization and early warning signals. ABSTRACT Sequencing of protein with nanopores has emerged as a powerful tool offering rapid readout, high accuracy, low cost, and portability.
Yubin Cao, Junzhou He, Wei Si
wiley +1 more source
Sustainable Productivity Growth in Agriculture: The Role of Shifts in R&D Investments and Technology
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT The objective of the paper is to evaluate the long‐term prospects of sustainable productivity growth linked to plausible assumptions on public agricultural R&D investments as the key productivity driver. Second, it investigates the role of changing R&D focus from yield maximization to input saving technologies (fertilizers and pesticides). The
Zuzana Smeets Křístková +4 more
wiley +1 more source
It’s now or never! Future discounting in the application of the online privacy calculus
Cyberpsychology: Journal of Psychosocial Research on Cyberpspace, 2023 Many people engage in extensive use of networked digital systems despite concerns over their privacy, a phenomenon called the “online privacy paradox.” Although privacy calculus research has argued that the benefits of usage usually outweigh the ...
Marco Lünich +2 more
doaj +1 more source
U.S. Consumer Preferences for Cage‐Free Eggs and Hen Housing Policies
Agribusiness, EarlyView.ABSTRACT Farm animal welfare (FAW) continues to be a divisive issue in the egg industry. In the United States, 10 states and most major retailers have implemented policies or voluntary pledges to transition to 100% cage‐free egg sales. We use best‐worst scaling and discrete choice experiments to evaluate U.S.
Vincenzina Caputo +3 more
wiley +1 more source
Decoding the Personalization-Privacy Paradox: From Thematic Scholarly Clusters to Practical Insights
Studies in Business and EconomicsIn today’s digital era, the rise of data-driven personalization has made the tension between relevance and privacy a central issue for businesses: while personalization has become a (source of) competitive advantage, growing privacy concerns pose a ...
Duralia Oana +3 more
doaj +1 more source
A User-Centered Privacy Policy Management System for Automatic Consent on Cookie Banners
ComputersDespite growing concerns about privacy and an evolution in laws protecting users’ rights, there remains a gap between how industries manage data and how users can express their preferences.
Lorenzo Porcelli +3 more
doaj +1 more source
Agribusiness, EarlyView.ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi +2 more
wiley +1 more source
Annals of Gastroenterological Surgery, EarlyView.This study evaluated immune‐related biomarkers in esophageal squamous cell carcinoma treated with immune checkpoint inhibitors after postoperative recurrence. PD‐L1 expression in tumor‐associated macrophages and tumor cells, together with HLA class I downregulation and HLA‐DR expression, were associated with favorable responses to immunotherapy.
Kosuke Kanemitsu +9 more
wiley +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
Advanced Intelligent Discovery, EarlyView.This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source