Results 221 to 230 of about 915,541 (286)

Economic Factors Associated with AI Adoption in Oncology: Cost-Effectiveness Perceptions, Reimbursement Readiness, and Return-on-Investment Confidence Among Romanian Healthcare Professionals. [PDF]

Healthcare (Basel)
Negoiță DC, Stanga L, Branea HS, Roșca CI, Ilie AC, Rosca O.   +5 more
europepmc   +1 more source

Studies on the Effects of External Budgetary Controls and Accountability Reporting Demands on First Nations Communities in Canada

This dissertation is organized into four chapters; an introduction, two distinct empirical research studies, and a reflection piece on the research process. The first empirical study (Chapter 2) examines the effects of external government demands for accountability reporting, as witnessed by Indigenous individuals who work and live in First Nations ...
openaire   +1 more source

A Compendium of Logic Gates Based on Reconfigurable Three‐Independent‐Gate Transistors Realized in FDSOI Hardware

Advanced Electronic Materials, EarlyView.
This work electrically characterizes sixteen logic gates built from three‐independent‐gate reconfigurable transistors fabricated on full‐scale 300 mm wafers using the industrial 22 nm fully depleted FDSOI process of GlobalFoundries. Static and time‐resolved measurements confirm correct operation, including a 1‐bit adder and reconfigurable AOI/OAI ...
Juan P. Martinez, Yuxuan He, Giulio Galderisi, Violetta Sessi, Niladri Bhattacharjee, Peter Baars, Kerstin Poenisch, Annekathrin Zeun, Konstantin Li, Fernando Koch, Binit Syamal, Thomas Mikolajick, Jens Trommer   +12 more
wiley   +1 more source

The Reverse Risk Register Approach to Understanding Systemic Factors in Risk Analysis and Management Case Studies. [PDF]

Risk Anal
Thekdi S, Aven T.
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Kounis syndrome type III triggered by stents in patients with coronary artery disease: A review of clinical cases. [PDF]

World J Cardiol
Pereverzeva KG, Yakushin SS, Glenza A, Gurbanova AA.   +3 more
europepmc   +1 more source

Enabling Quantum‐Compatible Nonvolatile Memory: Cryogenic Evaluation of 1T1R HfO2‐Based RRAM From 300 to 1.5 K

Advanced Electronic Materials, EarlyView.
Resistive memory devices are explored for operation at extremely low temperatures relevant to quantum computing. The study reveals how transistor behavior strongly influences memory performance under cryogenic conditions and introduces an optimized programming strategy.
Emilio Pérez‐Bosch Quesada, Alberto Mistroni, Ruolan Jia, Keerthi Dorai Swamy Reddy, Markus Fritscher, Felix Reichmann, Oliver Skibitzki, Juan Bautista Roldán, Helena Castán, Salvador Dueñas, Christian Wenger, Eduardo Pérez   +11 more
wiley   +1 more source

External fixation versus amputation in the treatment of ulcerated diabetic foot: a cost-utility analysis using real-world data and a discrete-event simulation model. [PDF]

Cost Eff Resour Alloc
Roza Miguel PO, López Capdevila L, Rabanal Rubio M, Santamaría Fumas A, García-Rodríguez N, González Fidalgo E.   +5 more
europepmc   +1 more source

Financial reporting of budgetary institutions as an instrument of state control: from NPSAS to IFRS (IPSAS)

Scientific Bulletin of Odessa National Economic University
Andrii Naida, Irina Kryukova, Lіubov Shatskova, Ruslan Volchek   +3 more
openaire   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source