Results 101 to 110 of about 603,715 (266)

A Practical Design and Implementation of a Low Cost Platform for Remote Monitoring of Lower Limb Health of Amputees in the Developing World

IEEE Access, 2016
In many areas of the world accessing professional physicians “when needed/as needed” might not be always possible for a variety of reasons.
Neha Mathur, Greig Paul, James Irvine, Mohamed Abuhelala, Arjan Buis, Ivan Glesk   +5 more
doaj   +1 more source

Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere

Advanced Engineering Materials, EarlyView.
In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May, Finn‐Lennard Janthur, Lena Kreie, Michael Müller, Sarah Seffer, Nick Schwarz, Jörg Hermsdorf, Thomas Hassel, Stefan Kaierle, Ludger Overmeyer   +9 more
wiley   +1 more source

Enhanced Strength and Corrosion Resistance of Ti‐13Nb‐12Ta‐10Zr‐4Sn Alloy by Aging Treatment

Advanced Engineering Materials, EarlyView.
This work systematically investigates the effect of aging treatment on mechanical properties and corrosion behavior of vacuum arc‐melted Ti‐13Nb‐12Ta‐10Zr‐4Sn alloy. Owing to the increased α″ martensite, strength and corrosion resistance were significantly enhanced by aging treatment.
Yuhua Li, Rong Zhao, Qian Zhang, Haojie Wang, Yujing Liu, Lai‐Chang Zhang   +5 more
wiley   +1 more source

Mathematical methods for forecasting the company's financial results

Buhalterinės Apskaitos Teorija ir Praktika, 2013
Forecasting is essential for the company activities, as it helps to predict company's future results. Forecasting methods theory analysis has showed that the application of mathematical methods are very wide.
Judita Urbonaitė, Milda Kvekšienė
doaj  

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Diversity of cereal pests (wheat and barley) grown in arid climate in Ziban region (provence of Biskra – southeastern Algeria)

Studia Universitatis Babeș-Bolyai. Biologia
This study investigated cereal pests (wheat and barley) grown in southeastern Algeria’s arid climate. Using three sampling techniques (yellow pan traps and Pitfall traps, a comprehensive collection of insect specimens was obtained, comprising 2526 ...
Nourelhouda BAKROUNE, Abdelmoneim Tarek OUAMANE, Meriem BOULTIF, Farida ` BETTICHE, Somia TORKI   +4 more
doaj   +1 more source

Highly Sensitive Electrochemical Biosensor Based on Hairy Particles with Controllable High Enzyme Loading and Activity

Advanced Functional Materials, EarlyView.
For the first time, a highly sensitive electrochemical biosensor based on SiO2‐based hairy particles with a grafted PDMAEMA polymer brush containing a quantifiable and large amount of immobilized Laccase is reported. The fabricated biosensor exhibits a sensitivity of 0.14 A·m⁻¹, a limit of detection (LOD) of 0.1 µm, and a detection range of 0.3–750 µm,
Pavel Milkin, Anila Antony, Hongtao Cai, Antonia Debevc, Ceyda Topal, Anne Linhardt, Alla Synytska, Leonid Ionov   +7 more
wiley   +1 more source

Forecasting the Future With Yesterday's Climate: Temperature Bias in AI Weather and Climate Models

Geophysical Research Letters
AI‐based climate and weather models provide fast, skillful forecasts yet face a key challenge: predicting future climates while being trained with historical data. We investigate this issue by analyzing boreal winter land temperature biases in AI weather
Jacob B. Landsberg, Elizabeth A. Barnes
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

On the limitations of deep learning for statistical downscaling of climate change projections: The transferability and the extrapolation issues

Atmospheric Science Letters
Convolutional neural networks (CNNs) have become one of the state‐of‐the‐art techniques for downscaling climate projections. They are being applied under Perfect‐Prognosis (trained in a historical period with observations) and hybrid approaches (as ...
Alfonso Hernanz, Carlos Correa, Juan‐Carlos Sánchez‐Perrino, Ignacio Prieto‐Rico, Esteban Rodríguez‐Guisado, Marta Domínguez, Ernesto Rodríguez‐Camino   +6 more
doaj   +1 more source