Results 61 to 70 of about 3,749 (251)

EFFECT OF ROUGHAGE SOURCES IN STARTER ON PERFORMANCE OF EARLY WEANED LAMBS [PDF]

Journal of Animal and Poultry Production, 2008
Forty Ossimi male lambs with an average live body weight 3.85 ± 0.25 kg and 7 days age were randomly assigned to four feeding groups, each of 10 animals to be weaned early at 8 weeks of age.
Soad El-Naggar, A. Abedo, Sawsan, Gad, M. Tawila, G. Abou Ward   +4 more
doaj   +1 more source

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam, Zhuohan Li, Tara P. Mishra, Gerbrand Ceder   +3 more
wiley   +1 more source

Ultra‐Low‐Strain Calcium and Magnesium Ion Storage Enabled by Tunnel‐Structured MoO3 Positive Electrode

Advanced Energy Materials, EarlyView.
A hexagonal tunnel‐structured MoO3 is nanoparticulated via hydrothermal synthesis followed by ball‐milling. As a positive electrode in Ca and Mg batteries, it delivers superior capacity and structural reversibility, enabling divalent cation intercalation with minimal lattice distortion and no phase transitions.
Reona Iimura, M. D. Hashan C. Peiris, Takashi Yabu, Toshihiko Mandai, Ruijie Zhu, Akira Nasu, Saneyuki Ohno, Masaki Matsui, Itaru Honma, Manuel Smeu, Hiroaki Kobayashi   +10 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

A Highly Hydrophilic Air Electrode With Water‐Induced Surface Reconstruction for Efficient Reversible Protonic Ceramic Cell at Low Water Partial Pressures

Advanced Energy Materials, EarlyView.
This work demonstrates a new strategy for reversible protonic ceramic cells (R‐PCCs). By developing highly hydrophilic oxides, efficient operation is achieved under low water vapor pressures while maintaining high performance and stability. This approach addresses the challenge of hydrogen production in freshwater‐scarce regions.
Nai Shi, Yun Xie, Xueyu Hu, Junji Hyodo, Chun‐Kuo Peng, Gaopeng Zhou, Hanwen Liu, Bingbing Qiu, Daqin Guan, Jiayi Tang, Yan‐Gu Lin, Ranran Peng, Moses Oludayo Tadé, Meilin Liu, Yoshihiro Yamazaki, Zongping Shao   +15 more
wiley   +1 more source

Avaliação de painéis produzidos a partir de resíduos sólidos para aplicação na arquitetura Evaluation of the properties of panels produced from solid residues for civil construction

Polímeros, 2009
O presente trabalho tem por objetivo o reaproveitamento de resíduos sólidos na preparação de painéis para uso na arquitetura. Para atingir as metas propostas, painéis foram preparados a partir de resíduos provenientes de embalagens cartonadas e plásticas,
José C. Caraschi, Alcides L. Leão, Paula V. C. Chamma   +2 more
doaj   +1 more source

Solid hulls of weighted Banach spaces of analytic functions on the unit disc with exponential weights

Annales Academiae Scientiarum Fennicae Mathematica, 2018
11 ...
Taskinen, Jari Juhani, Bonet, Jose
openaire   +6 more sources

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

The Role of Shape Commensurability in Chirality Transfer: Gold Nanoshape Solutes in a Discotic Nematic Liquid Crystal Solvent

Angewandte Chemie, EarlyView.
We report on a suitable approach to predict the chirality “strength” and efficacy of chirality transfer from chiral nanoshape solutes to an achiral discotic nematic (ND) liquid crystal solvent. Highly efficacious chirality transfer based on shape commensurability between nanoshape solute (in the form of gold nanodiscs, GNDs) and a ND solvent was ...
Gourab Acharjee, Lara Querciagrossa, Grace A. R. Rohaley, Nicholas M. Kamuti, Ashwathanarayana Gowda, Suraj Kumar Pathak, Asmita Shah, Kun Zhang, Jianfang Wang, Claudio Zannoni, Torsten Hegmann   +10 more
wiley   +2 more sources

New insights about ice friction obtained from crushing-friction tests on smooth and high-roughness surfaces

International Journal of Naval Architecture and Ocean Engineering, 2018
Ice crushing occurs in many situations that involve a sliding frictional component such as sports involving ice-contact, ice interaction with ship hulls, and ice-on-ice sliding/crushing within glaciers and between interacting sea ice floes.
Robert E. Gagnon
doaj   +1 more source