Results 71 to 80 of about 111,593 (290)

Innovative methodology for flexible monitoring of various bioprocesses by using pre‐existing Raman data coupled with automated transfer learning technique

Biotechnology Progress, EarlyView.
The application of the transfer learning algorithm successfully allowed the use of a model built on process A for real‐time monitoring of process B. This study shows the improvement obtained with this methodology compared to the direct application of the model.
Adèle Schini, Hadi El Radi, Johan Cailletaud, Célia Sanchez, Nathan Gay, Bruno Ebel, Emmanuel Guedon, Laurent Jourdainne   +7 more
wiley   +1 more source

Lernen trotz Corona

Medienimpulse, 2020
Die PH Niederösterreich bietet in einem kurzfristig initiierten Projekt Hilfestellungen, damit auch in der Zeit von Schutzmaßnahmen das Lernen gelingt. Es geht um die Prozesse beim Lernen zu Hause und das Kontakthalten der Lehrenden mit den Kindern – und
Gerhard Brandhofer, Josef Buchner, Elke Höfler, Natalie Schrammel, Karin Tengler   +4 more
doaj   +1 more source

Mission Investments At The Packard Foundation [PDF]

, 2015
Since the Packard Foundation's first PRI in 1980, its approach to mission investing has evolved dramatically. This report by Redstone Strategy Group documents key learnings from some of the Foundation's more innovative, complex deals -- experiences that ...

core  

Going from Pt to PGM‐free Catalysts: Effects of Ink Compositions on PEM Water Electrolysis

ChemPhysChem, Volume 26, Issue 6, March 15, 2025.
Optimisation of cathode ink formulations regarding the ratio between catalyst, carbon and binder results in a boost in PEM water electrolysis performance. The optimisation can be transferred from pentlandites to platinum and selenide catalysts, wherein the metal chalcogenides show a stronger performance enhancement.
Janna Wierper, Jannick Hiltrop, Kevinjeorjios Pellumbi, Julia Jökel, Sebastian Sanden, Miłosz Kożusznik, Andrzej Mikuła, Ulf‐Peter Apfel   +7 more
wiley   +1 more source

An Impacts of Kampus Mengajar Program on Elementary School Students' Literacy and Numeracy

Jurnal Iqra': Kajian Ilmu Pendidikan
This research aims to examine whether or not there is impact of Kampus Mengajar program batch 7 in 2024 on strengthening students’ literacy and numeracy learnings at a total of 37 elementary school in Sidoarjo region.
Ruri Fadhilah Kurniati, Muhammad Assegaf Baalwi, Amelia Panji Sekar Pameling   +2 more
doaj   +1 more source

Master\u27s Project: A Soilful Journey [PDF]

, 2018
This project involved the evolution and continued development of Soilful City, an organization in D.C. that uses food and farming as a social change agent.
Brown, Xavier
core   +1 more source

Structural Design of MOF‐Based and MOF‐Derived Composites for Oxygen Evolution Electrocatalysis: Materials Innovation for Energy and Environmental Sustainability

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This review provides an overview of recent developments in metal organic framework (MOF)‐based and MOF‐derived composites for efficient oxygen evolution reaction. This review also emphasizes the structural design of electrocatalyst, active site optimization, and emerging prospects of their use in practical electrolyzer systems.
Bhagyashri B. Kamble, Aditi De, Seung Joo Jang, Arun Karmkar, Venkatachalam Vinothkumar, Niyaz Mujawar, Subrata Kundu, Tae Hyun Kim   +7 more
wiley   +1 more source

Creating, Doing, and Sustaining OER: Lessons from Six Open Educational Resource Projects [PDF]

, 2007
The development of free-to-use open educational resources (OER) has generated a dynamic field of widespread interest and study regarding methods for creating and sustaining OER.

core  

Metabolic abnormalities and reprogramming in cats with naturally occurring hypertrophic cardiomyopathy

ESC Heart Failure, Volume 12, Issue 2, Page 1256-1270, April 2025.
Abstract Background and aims The heart is a metabolic organ rich in mitochondria. The failing heart reprograms to utilize different energy substrates, which increase its oxygen consumption. These adaptive changes contribute to increased oxidative stress.
Qinghong Li, Max Homilius, Erin Achilles, Laura K. Massey, Victoria Convey, Åsa Ohlsson, Ingrid Ljungvall, Jens Häggström, Brittany Vester Boler, Pascal Steiner, Sharlene Day, Calum A. MacRae, Mark A. Oyama   +12 more
wiley   +1 more source

Analysis of machine learning prediction reliability based on sampling distance evaluation with feature decorrelation

Machine Learning: Science and Technology
Despite successful use in a wide variety of disciplines for data analysis and prediction, machine learning (ML) methods suffer from a lack of understanding of the reliability of predictions due to the lack of transparency and black-box nature of ML ...
Evan Askanazi, Ilya Grinberg
doaj   +1 more source