Results 141 to 150 of about 29,278,475 (229)

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

Economic Impact of PromarkerD In Vitro Diagnostic Testing on the Management of Chronic Kidney Disease in Type 2 Diabetes: A Budget Impact Analysis. [PDF]

Pharmacoecon Open
Fernandez GC, Joubert IA, Peters KE, Chen LK, Gray JS, Tan PL, Shanik M, Lipscombe RJ.   +7 more
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

Real-world cost avoidance associated with bevacizumab biosimilar adoption in a tertiary public hospital in Ecuador: a cost-minimization and budget impact analysis. [PDF]

Cost Eff Resour Alloc
Rodríguez S, Arias C, Aynaguano MDC, Moreno C, Armas D.   +4 more
europepmc   +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

Budget impact analysis of bivalent respiratory syncytial virus prefusion F (RSVpreF) maternal vaccination for preventing respiratory syncytial virus in Egyptian infants. [PDF]

Hum Vaccin Immunother
El Hag A, Nabil N, El Masry R, Awad EE, Mahmoud Fouda E, Bashir Hamed M, Abou Talib Y, Law A, Mendes D, Aladdin M.   +9 more
europepmc   +1 more source

Bridging Performance and Fate: A Framework for Sustainable, Composite‐Based Flexible Electronic Systems

Advanced Electronic Materials, EarlyView.
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley   +1 more source

Budget impact analysis of energy and nutrient-dense oral nutritional formulas for hospitalized pediatric disease-related malnutrition in the Middle East. [PDF]

Front Nutr
Zaki G, Al-Dekhail W, Mezied M, Shaaban S, El Gendy Y, Osman A, Saraf K, Jassmi M, Alsoufi M, Abdelmawla A.   +9 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

External validation of the budget impact analysis of the drug fingolimode in the treatment of multiple sclerosis. [PDF]

Cost Eff Resour Alloc
Campello CRS, da Costa MGS, Pinto M.
europepmc   +1 more source