Results 91 to 100 of about 7,735 (172)

Application of machine learning techniques to explore the occurrence of macrophage activation syndrome in Still's disease: results from the GIRRCS AOSD Study Group and the AIDA Network Still's Disease Registry. [PDF]

Front Immunol
Ruscitti P, Masedu F, Vitale A, Caggiano V, Di Cola I, Atzeni F, Sbalchiero J, Lopalco G, Iannone F, Morrone M, Iacono D, Riccio F, Visconti M, Gaggiano C, Caso F, Emmi G, Hinojosa-Azaola A, Torres-Ruiz J, Martín-Nares E, Guggino G, La Barbera L, Batu ED, Ozen S, Sfikakis PP, Navarini L, Costa L, Tufan A, Cakir IY, Perosa F, Hernández-Rodríguez J, Prete M, Dagna L, Campochiaro C, Ursini F, Sfriso P, Bindoli S, Giardini HAM, Fotis L, Kourtesi K, Ragab G, Ghanema M, Saad MA, Direskeneli H, Karamanakos A, Conforti A, La Torre F, Frassi M, Govoni M, Parronchi P, Sarzi-Puttini P, Maggio MC, Bugatti S, De Stefano L, Pelizza J, Bartoloni E, Rigante D, Iagnocco A, Viapiana O, Wiesik-Szewczyk E, Makowska J, Gündüz ÖS, Erten Ş, Ogunjimi B, Sebastiani GD, Del Giudice E, Biancalana E, Conti G, AlMaghlouth IA, Breda L, Gidaro A, Barone P, Olivieri AN, Carubbi F, De Paulis A, Chimenti MS, Lo Gullo A, Tharwat S, Thabet M, Moshrif A, Alessio M, Mauro A, Suzon B, Pucino V, Boyarchuk O, Kovalchuk T, Bes C, Deniz R, Al-Mayouf SM, Cipriani P, Valenti M, Balistreri A, Fabiani C, Ciccia F, Montecucco C, Giacomelli R, Frediani B, Cantarini L.   +96 more
europepmc   +1 more source

Light‐Imprinted Chirality in Nanomaterials: From Principles to Applications

Advanced Science, EarlyView.
Light‐induced chirality represents a transformative paradigm for fabricating chiral nanostructures. This review provides a comprehensive framework encompassing light‐based strategies for imprinting and tuning chirality in nanomaterials, which guides researchers in harnessing light to create next‐generation functional materials.
Xinru Jin, Emiliano Cortés, Alexander O. Govorov, Tao Ding   +3 more
wiley   +1 more source

Regulating the Acidity and Pore Structure of Hβ Zeolite with Citric Acid Concentration for Optimized Aniline Condensation Catalysis. [PDF]

Materials (Basel)
Mao L, Li Y, Liu K, Liu N, Shi L, Meng X.   +5 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Highly Efficient Photocatalysis Towards Synthesis of Crystalline Hydrothermal Carbonation Carbon. [PDF]

Molecules
Chen X, Luo Y, Zhang Z, Chen Y, Wan Z.
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Is low-volume high intensity interval training a time-efficient strategy for improving body composition and cardiovascular health in children and adolescents? Evidence from a systematic review and three-level meta-analysis. [PDF]

Front Physiol
Zheng W, Xing Y, Yin M, Guo Y, Piao S, Cao Y, Chen H, Li H.   +7 more
europepmc   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Incomplete Kawasaki disease associated with acute icteric hepatitis and Torque teno virus infection: a case report and literature review. [PDF]

BMC Pediatr
Liao Y, Liu Y, Xu S, Yang J, Chen Y.
europepmc   +1 more source

Molecular Editing Reveals a Bilobalide Chemotype that Attenuates Prolyl Endopeptidase (PREP)‐Linked Neuroinflammation

Advanced Science, EarlyView.
Molecular editing of bilobalide uncovers BB56, a PREP‐engaging chemotype with enhanced anti‐inflammatory activity in microglia. Integrated CETSA‐MS, SAR, and pathway analyses link BB56 to attenuation of p38 MAPK/NF‐κB and NLRP3‐associated inflammatory signaling, highlighting bilobalide editing as a strategy for developing neuroinflammation‐modulating ...
Chanin Sillapachaiyaporn, Wenjing Wang, Yao Qin, Lili Yan, Stephan Scheeff, Xu He, Qiong Wu, Yue Lin, Jinsai Shang, Xin Ye, Jing Liu, Kailei Sun, Chun Wai Yeung, Junzhe Huang, Zhenghui Chen, Xiaodong Liu, Yiqun Geng, Shannon Wing Ngor Au, Bonaventure Y. Ip, Ho Ko, Billy Wai‐Lung Ng   +20 more
wiley   +1 more source