Results 151 to 160 of about 7,373 (258)

Millisecond‐Scale Relaxation in Metastable HZO Ferroelectric Capacitors for Bio‐Inspired Temporal Computing

Advanced Electronic Materials, EarlyView.
Through the introduction of a niobium oxide layer into a hafnia ferroelectric capacitor stack, we build a memory device with a strong imprint effect. This imprint leads to a millisecond retention loss that can be tuned by the programming conditions that can be utilized as a scalable, analog hardware time constant for bio‐inspired temporal computing ...
Luca Fehlings, Thomas Mikolajick, Beatriz Noheda, Erika Covi   +3 more
wiley   +1 more source

Cascade catalytic nanozyme platform for combined antibacterial, anti-inflammatory, and pro-healing therapy of infected diabetic wounds. [PDF]

J Nanobiotechnology
Liu S, Chen H, Xu Y, Li L, Shi X, Varga I, Cui G, Li W.   +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

Political determinants of cervical cancer control in Peru. [PDF]

BMC Health Serv Res
Gianella C, Salmon-Mulanovich G, Bohorquez-Gutierrez J, Tapia P, Perez-Buitrago SM.   +4 more
europepmc   +1 more source

ORGANIZATION OF ACCOUNTING AND MONITORING THE USE OF FUNDS OF BUDGETARY INSTITUTIONS

Scientific Notes of Taurida National V.I. Vernadsky University. Series: Economy and Management, 2020
Oksana Romankova, Irina Glushchenko
openaire   +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

Shifting care from hospitals to general practice from the health insurers' perspective: an interview study. [PDF]

BMC Health Serv Res
Dros JT, Bos I, van Dijk CE, Meijboom BR, van der Hijden EJE, Timmers L, Verheij RA.   +6 more
europepmc   +1 more source

Multi‐Vth IGZO FETs Enabled by Continuous‐wave Laser Scanning Annealing for Low Thermal Budget 3D Integration

Advanced Electronic Materials, EarlyView.
A novel strategy is used to fabricate multi‐threshold‐voltage (multi‐Vth) IGZO FETs via continuous‐wave laser scanning annealing (CW‐LSA). By tuning the laser power and scan speed, low, standard, and high Vth values of 0.22, 0.42, and 0.62 V, respectively, were achieved on a single wafer with excellent uniformity (coefficient of variation: 2.17%–6.61%).
Jun‐Hyeok Choi, Kiyung Kim, Hyeon‐Seok Shin, Uigwan Shin, Byeong Gwan Kim, Jae Hyeon Jun, Joon Kim, Yoonyoung Chung, Byoung Hun Lee   +8 more
wiley   +1 more source

Anti-amyloid therapies in the Brazilian public health system: challenges and barriers. [PDF]

Lancet Reg Health Am
Castilhos RM, Resende E, Studart Neto A.
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