Results 221 to 230 of about 308,991 (332)

Lactylation Reprogramming in the Bone Infection Microenvironment Identifies PGK1 K361 as a Potential Therapeutic Target for Osteogenic Dysfunction

Advanced Science, EarlyView.
Staphylococcus aureus (S. aureus) infection creates a high‐lactate microenvironment, promoting p300‐mediated lactylation of PGK1 at lysine 361 (K361). Lactylated PGK1 translocates to the mitochondrial outer membrane and interacts with VDAC3. This interaction triggers FtMt downregulation, iron accumulation, and excessive PINK1/Parkin‐mediated mitophagy,
Han‐jun Qin, Si‐ying He, Ting‐hui Xiao, Da‐mao Dai, Xin‐jia Hu, Nan Jiang   +5 more
wiley   +1 more source

Canonicalizing Zeta Generators: Genus Zero and Genus One. [PDF]

Commun Math Phys
Dorigoni D, Doroudiani M, Drewitt J, Hidding M, Kleinschmidt A, Schlotterer O, Schneps L, Verbeek B.   +7 more
europepmc   +1 more source

Livestock Tango: U.S. and Latin America Dance Together, but Who Will Lead?

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the competitiveness between Latin American and U.S. livestock and meat sectors. We employ a computable general equilibrium modeling framework to evaluate two scenarios: coordinated improvements in Latin American productivity, transport efficiency, and market access (Scenario I), and the minimum productivity gains required ...
Taís C. Menezes, Amanda M. Countryman, Dustin L. Pendell   +2 more
wiley   +1 more source

Eigensolutions of generalized fractional Schrödinger equation with Hulthén-Hellmann potential and topological defects. [PDF]

Sci Rep
Okorie US, Horchani R, Alrebdi HI, Ikot AN, Rampho GJ.   +4 more
europepmc   +1 more source

Theoretical Research in Cosmology, High-Energy Physics and String Theory

, 2013
Y. Jack Ng, L. Dolan, Laura Mersini–Houghton, Paul H. Frampton   +3 more
openalex   +2 more sources

The Future of Hydrogen‐Powered Aviation: Technologies, Challenges, and a Strategic Roadmap for Sustainable Decarbonization

Advanced Energy and Sustainability Research, EarlyView.
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira, Md Mahbubur Rahman, Karib Hassan Khan, Md Nizam Uddin, Dewan Hafiz Nabil   +4 more
wiley   +1 more source

Surface optimization governs the local design of physical networks. [PDF]

Nature
Meng X, Piazza B, Both C, Barzel B, Barabási AL.   +4 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Visualizing dynamics of charges and strings in (2 + 1)D lattice gauge theories. [PDF]

Nature
Cochran TA, Jobst B, Rosenberg E, Lensky YD, Gyawali G, Eassa N, Will M, Szasz A, Abanin D, Acharya R, Aghababaie Beni L, Andersen TI, Ansmann M, Arute F, Arya K, Asfaw A, Atalaya J, Babbush R, Ballard B, Bardin JC, Bengtsson A, Bilmes A, Bourassa A, Bovaird J, Broughton M, Browne DA, Buchea B, Buckley BB, Burger T, Burkett B, Bushnell N, Cabrera A, Campero J, Chang HS, Chen Z, Chiaro B, Claes J, Cleland AY, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Das S, Demura S, De Lorenzo L, Di Paolo A, Donohoe P, Drozdov I, Dunsworth A, Eickbusch A, Elbag AM, Elzouka M, Erickson C, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Ganjam S, Gasca R, Genois É, Giang W, Gilboa D, Gosula R, Grajales Dau A, Graumann D, Greene A, Gross JA, Habegger S, Hansen M, Harrigan MP, Harrington SD, Heu P, Higgott O, Hilton J, Huang HY, Huff A, Huggins W, Jeffrey E, Jiang Z, Jones C, Joshi C, Juhas P, Kafri D, Kang H, Karamlou AH, Kechedzhi K, Khaire T, Khattar T, Khezri M, Kim S, Klimov P, Kobrin B, Korotkov A, Kostritsa F, Kreikebaum J, Kurilovich V, Landhuis D, Lange-Dei T, Langley B, Lau KM, Ledford J, Lee K, Lester B, Le Guevel L, Li W, Lill AT, Livingston W, Locharla A, Lundahl D, Lunt A, Madhuk S, Maloney A, Mandrà S, Martin L, Martin O, Maxfield C, McClean J, McEwen M, Meeks S, Megrant A, Miao K, Molavi R, Molina S, Montazeri S, Movassagh R, Neill C, Newman M, Nguyen A, Nguyen M, Ni CH, Ottosson K, Pizzuto A, Potter R, Pritchard O, Quintana C, Ramachandran G, Reagor M, Rhodes D, Roberts G, Sankaragomathi K, Satzinger K, Schurkus H, Shearn M, Shorter A, Shutty N, Shvarts V, Sivak V, Small S, Smith WC, Springer S, Sterling G, Suchard J, Sztein A, Thor D, Torunbalci M, Vaishnav A, Vargas J, Vdovichev S, Vidal G, Vollgraff Heidweiller C, Waltman S, Wang SX, Ware B, White T, Wong K, Woo BWK, Xing C, Yao ZJ, Yeh P, Ying B, Yoo J, Yosri N, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Boixo S, Kelly J, Lucero E, Chen Y, Smelyanskiy V, Neven H, Gammon-Smith A, Pollmann F, Knap M, Roushan P.   +189 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source