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We have designed, fabricated and tested a lens with a chromatic aberration coefficient (Cc) of 1.0 mm, a 4.0 mm pole-gap and 2.0 mm bore that is wide enough to accommodate an anti-contamination system and an object...

Graphene is an ideal material for hot-electron bolometers due to its low heat capacity and weak electron-phonon coupling. Nanostructuring graphene with quantum-dot constrictions yields detectors of electromagnetic radiat...

Artificial pancreas (AP) algorithms can be divided into single-hormone (SH) and dual-hormone (DH). SH algorithms regulate glycemia using insulin as their control input. On the other hand, DH algorithms also use glucagon ...

Electronic skin, a class of wearable electronic sensors that mimic the functionalities of human skin, has made remarkable success in applications including health monitoring, human-machine interaction and electronic-biol...

What makes three dimensional semiconductor quantum nanostructures so attractive is the possibility to tune their electronic properties by careful design of their size and composition. These parameters set the confinement...

The effects of histidine and its imidazole ring adsorption on the electronic transport properties of graphene were investigated by first-principles calculations within a combination of density functional theory and non-e...

In this study, we investigated the degradation mechanisms of silicon carbide asymmetric trenches of metal-oxide semiconductor field-effect transistors (SiC AT-MOSFETs) under power cycling tests (PCTs). After 60000 cycles...

Abstract Angle-resolved photoemission spectroscopy is a powerful experimental technique for studying anisotropic many-body interactions through the electron spectral function. Existing attempts to decompose the spectral ...

This Campbell systematic review examines the effectiveness of e‐learning in improving evidence‐based health care (EBHC) knowledge and practice. Compared to no learning, pure e‐learning improves EBHC knowledge and s...

In previous works, we proposed two methods for data clustering based on automatically discovered fuzzy predicates which were referred to as SOM-based Fuzzy Predicate Clustering (SFPC) [Meschino et al., Neurocomputing, 14...

Interpretable data classifiers play a significant role in providing transparency in the decision-making process by ensuring accountability and auditability, enhancing model understanding, and extracting new information t...

In wastewater treatment, ammonium removal is a key step which can be done biologically. One method is by coupling a partial nitritation with the Anammox process. The partial nitritation goal is to convert half of the amm...

Abstract This study investigated the effects of ultra-ground seaweed powders (USP) on the physicochemical properties (proximate composition, mineral contents, pH, color, shear force, sensory evaluation, electronic nose, ...

Introducing alkyl chains into π-conjugated organic molecules is a well-established strategy for tuning solubility, crystallinity, and photophysical properties without significantly perturbing their electronic structures...

A consistent set of ab initio effective core potentials (ECP) has been generated for the main group elements from Na to Bi using the procedure originally developed by Kahn. The ECP’s are derived from all-electron numer...

Ab initio effective core potentials (ECP’s) have been generated to replace the Coulomb, exchange, and core-orthogonality effects of the chemically inert core electron in the transition metal atoms Sc to Hg. For the sec...

QUANTUM ESPRESSO is an integrated suite of computer codes for electronic-structure calculations and materials modeling, based on density-functional theory, plane waves, and pseudopotentials (norm-conserving, ultrasoft, a...

Materias / palabras clave: information science, machine learning, electronics, telecommunications; Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication; Technology: Electrical engineering. Electronics. Nuclear en...