Results 181 to 190 of about 940,572 (293)

A policy context and process analysis to implement the Paris Agreement on climate change in the health system of Iran. [PDF]

BMC Public Health
Mousavi A, Ardalan A, Takian A, Naddafi K, Mesdaghinia A.   +4 more
europepmc   +1 more source

The Paris Climate Agreement: Harbinger of a New Global Order [PDF]

, 2019
Herman, Shana R
core   +1 more source

Addressing Bottlenecks to Achieve High‐Energy Sodium‐Ion Cells Using Tin Anodes

Advanced Energy Materials, EarlyView.
The challenges in coupling high voltage cathode with Sn‐alloying anode or in anode‐free cell, using glyme based electrolytes to realize high energy Na‐ion cells are reported. Surface protection strategy such as SnO coating on Sn or trapping the parasitic species from poisoning the anode, helps improving the cyclability, with ∼100% capacity retention ...
Parth Desai, Harshita Lohani, Wang Yu, François Ribot, Guillaume P. Laurent, Julien Bonefacino, Hervé Vezin, Dominique Foix, Carine Davoisne, Biao Zhang, Jean‐Marie Tarascon, Sathiya Mariyappan   +11 more
wiley   +1 more source

Global spatiotemporal optimization of photovoltaic and wind power to achieve the Paris Agreement targets. [PDF]

Nat Commun
Wang Y, Wang R, Tanaka K, Ciais P, Penuelas J, Balkanski Y, Sardans J, Hauglustaine D, Cao J, Chen J, Wang L, Tang X, Zhang R.   +12 more
europepmc   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

A machine learning approach to carbon emissions prediction of the top eleven emitters by 2030 and their prospects for meeting Paris agreement targets. [PDF]

Sci Rep
Begum AM, Mobin MA.
europepmc   +1 more source

Remarks on the International Legal Character of the Paris Agreement [PDF]

, 2019
Werksman, Jacob
core   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Food matters: Dietary shifts increase the feasibility of 1.5°C pathways in line with the Paris Agreement. [PDF]

Sci Adv
Humpenöder F, Popp A, Merfort L, Luderer G, Weindl I, Bodirsky BL, Stevanović M, Klein D, Rodrigues R, Bauer N, Dietrich JP, Lotze-Campen H, Rockström J.   +12 more
europepmc   +1 more source