Results 81 to 90 of about 2,484,008 (284)

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner   +14 more
wiley   +1 more source

Assessing Key Predictors of Career Success: Development and Validation of the Career Resources Questionnaire [PDF]

open access: yes, 2017
Identifying predictors of career success is one of the most considered topics in career research and practice. However, the existing literature suggests a vast array of potential predictors that cannot be economically measured.
Daniel Spurk   +9 more
core   +1 more source

A narrative investigation into the meaning and experience of career success: Perspectives from women participants

open access: yesSA Journal of Human Resource Management, 2016
Orientation: In South Africa opportunities are being created that encourage more women to enter the workforce. Understanding how women conceptualise and experience career success affects not only their individual career development but also their general
Willie T. Chinyamurindi
doaj   +1 more source

Chemical State Detection and Charge Transfer in Complex Oxide Heterostructures via In Situ Auger Electron Spectroscopy

open access: yesAdvanced Functional Materials, EarlyView.
In situ Auger Electron Spectroscopy resolves oxidation states with high fidelity during the pulsed laser deposition of multivalent perovskite manganate and vanadate heterostructures. The chemical‐state signature is carried by the valence‐electron population of the transition‐metal cation, read out through the relative intensities of Auger fine ...
Harish Kumarasubramanian   +1 more
wiley   +1 more source

A successful career. [PDF]

open access: yesScience (New York, N.Y.), 2010
Sara White, Joyce A. Generali
openaire   +3 more sources

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

open access: yesAdvanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan   +4 more
wiley   +1 more source

The Dark Triad traits in the South African workplace: moderators of career interests and success

open access: yesFrontiers in Psychology
IntroductionNumerous studies have been conducted on the nexus between the Dark Triad personality traits and the influence thereof within the context of work.
Denise Oldewage, Petronella Jonck
doaj   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

open access: yesAdvanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz   +9 more
wiley   +1 more source

Women and Careers: New Zealand Women's Engagement in Career and Family Planning [PDF]

open access: yes, 2015
This study investigated the extent women engage in career planning, and whether making considerations to have children would influence their career plans.
Ussher, Sarah Rosemary
core  

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

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