Results 191 to 200 of about 5,347 (242)

GPU-accelerated modeling of biological regulatory networks. [PDF]

Sci Rep
Reimer J, Saha P, Chen C, Dhar N, Byrns B, Rayan S, Broderick G.   +6 more
europepmc   +1 more source

Wavy‐Interlocked Stretchable Triboelectric Nanogenerators Enhanced by Liquid Metal Microflowers for Self‐Powered Wearable Motion Monitoring

Advanced Science, EarlyView.
Schematic showing a stretchable triboelectric nanogenerator based on interlocked wavy architectures that uses EGaIn microflower‐embedded PVDF‐TrFE and Nylon‐6 nanofiber membranes. The multi‐petaled, electron‐rich EGaIn microflowers enhance interfacial polarization and capacitance, while the interlocked wavy architecture enlarges the effective contact ...
Qianqian Xu, Huimin Li, Hanmin Zeng, Yahui Meng, Yimeng He, Xinke Hu, Senfeng Zhao, Jianxun Zhang, Peiqiong Zhou, Kechao Zhou, Dou Zhang, Chris Bowen, Yan Zhang   +12 more
wiley   +1 more source

Machine Learning Approaches for Compound-Target Interaction Prediction: A Review. [PDF]

Foods
Zhang J, Li T, Yan C, Li Y, Yu Y, Wang J, Sun B.   +6 more
europepmc   +1 more source

Dose‐Dependent Reprogramming of Chromatin Accessibility by SOX4 Drives the Transcriptional Response to Iron Overload

Advanced Science, EarlyView.
This study demonstrates that iron overload triggers widespread chromatin compaction and transcriptional repression in human granulosa cells, recapitulating features of endometriosis. The epigenetic reprogramming is orchestrated by a TFEB‐SOX4‐SWI/SNF axis, with SOX4 acting as a central, dosage‐sensitive regulator.
Feifei Li, Yaoqiu Wu, Guangyu Yang, Jingyi Lai, Xiaoyue Sun, Liyan Wang, Xiaoli Li, Jing Zhang, Qingxue Zhang, Hui Chen, Haiyan Lin, Bingxiang Xu, Junfeng Zhang, Hailong Wang, Anming Meng, Chunwei Cao   +15 more
wiley   +1 more source

Engineering multispecific antibodies with complete killing selectivity through the closed-loop integration of machine learning and high-throughput experimentation. [PDF]

MAbs
Grace J, Colin PY, Foxler D, Haynes W, Howsham C, Kassimatis L, Mavrogonatou L, Mighell R, McClory J, Mullin M, Ogola T, Townsend A, Ravi S, Wossnig L, van Heeke G.   +14 more
europepmc   +1 more source

Selective Inhibition of Integrin β3 Topology Provides a Safer Antithrombotic Strategy

Advanced Science, EarlyView.
Current integrin αIIbβ3 inhibitors effectively reduce thrombosis but also increase bleeding risk. During thrombosis, high shear blood flow can directly activate the integrin αIIbβ3 via a distinct topological change in the β3 transmembrane domain, independent of hemostatic platelet signaling.
Joonha Lee, Chul‐Gyun Lim, Pothiappan Vairaprakash, Jong‐Min Kim, Jiyoon Kim, Ji‐Young Park, Klaus M. Hahn, Hyunbo Shim, Hae Woong Choi, Tobias S. Ulmer, Soon Jun Hong, Chungho Kim   +11 more
wiley   +1 more source

Cognitive near-singularity: a possibility theorem and a witness-based protocol with a corpus case study. [PDF]

Front Artif Intell
Williams AE.
europepmc   +1 more source

Two Routes to Land: Genomic Underpinnings of Parallel Aerial Egg Deposition in Aquatic Old‐World Pila and New‐World Pomacea (Ampullariidae)

Advanced Science, EarlyView.
Comparative genomics of Gondwana‐diverged Pila and Pomacea reveals parallel evolution of aerial oviposition. Convergent chromosomal rearrangements reshape regulatory landscapes within topologically associating domains. Lineage‐specific gene family expansions and viral‐derived perivitelline proteins (PV1) underpin desiccation resistance.
Yufei Zhou, Huawei Mu, Xueying Nie, Yue Gao, Hui Wang, Ling Fang, Tiangang Luan, Monthon Ganmanee, Jian‐Wen Qiu, Jin Sun, Jack Chi‐Ho Ip   +10 more
wiley   +1 more source

Topology-enhanced oil adsorption by flower-like mesoporous silica nanoparticles for advanced cosmetic oil control. [PDF]

RSC Adv
Yuan M, Zheng Z, Yu Y, Wang Y, Wang W, Li Q, Li X, Zhao D.   +7 more
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source