Results 101 to 110 of about 302,661 (226)

Synthetic Shewanella‐Bacillus Microbial Consortia for Enhanced Metal Oxide Leaching From Spent Lithium‐Ion Batteries Using Brewing Wastewater as Leaching Agent

Advanced Science, EarlyView.
A recycling approach of spent lithium‐ion batteries is developed using brewing wastewater as the leaching agent and an engineering microbial consortium as the biocatalyst. Shewanella oneidensis reduces spent LiNixCoyMn1‐x‐yO2 cathodes via extracellular electron transfer, while Bacillus subtilis removes residual ethanol to eliminate inhibition.
Baocai Zhang, Chunxiao Qiao, Huichun Liu, Yiyun Wang, Yan Liu, Huan Yu, Junqi Zhang, Chao Li, Deguang Wu, Qulai Tang, Zhiwen Wang, Danni Zhang, Dake Xu, Feng Li, Hao Song   +14 more
wiley   +1 more source

Experimentally Determined Spatiotemporal Charge Carrier Dynamics for the Development of Particulate Photocatalysts

Advanced Energy Materials, EarlyView.
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley   +1 more source

Single crystal sapphire spacers for in situ angle sensing and rotor stability diagnostics in MAS NMR. [PDF]

Solid State Nucl Magn Reson
Osborn Popp TM, Mullen CG, Brown KL, Dzieminski JB, Scida AM, Tence JA, Drallios K, Perodeau JR, Nieuwkoop AJ.   +8 more
europepmc   +1 more source

Joins that Generalize: Text Classification Using Whirl

, 1998
WHIRL is an extension of relational databases that can per-form “soft joins ” based on the similarity of textual identi-fiers; these soft joins extend the traditional operation of join-ing tables based on the equivalence of atomic values.
William W. Cohen, Haym Hirsh
core  

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Twist in the cecum: A case series of mobile cecum, cecal volvulus and cecal bascule. [PDF]

Radiol Case Rep
Yadav J, Thapa Y, Nadeem D, Hofstrand R, Ali T.   +4 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Concurrent sigmoid volvulus and caecal adenocarcinoma in a paraplegic patient with neurogenic bowel: a case report. [PDF]

J Surg Case Rep
Ganju N, Billey A, Santiago-Gonzalez JC, Kibreab A.   +3 more
europepmc   +1 more source

Maxi dress

, 1970
Maxi dress of knit polyester of purple and black blocks. Full-length, bias cut. Bodice of purple, with princess seaming. Long sleeves, left one with black polyester "cuff" ca. 6" long. Full skirt, the wearer's left of black, the right of purple.
Mad Whirl
core  

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source