Results 131 to 140 of about 5,428,738 (277)

THE ANALYSIS OF INFORMATICS SECURITY COSTS IN CITIZEN ORIENTED APPLICATIONS [PDF]

The paper highlights the analysis of informatics security costs for the citizen oriented applications. The citizen oriented informatics applications are defined.
Dragos Palaghita, Bogdan Vintila
core  

Acknowledgement to Reviewers of Informatics in 2016

, 2017
The editors of Informatics would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2016.[...
Informatics Editorial Office
core   +1 more source

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

Advanced Science, EarlyView.
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

In Vivo Direct Reprogramming: Current Progress and Future Prospects from Mechanisms to Therapeutic Application

Advanced Science, EarlyView.
This review examines the potential of in vivo direct reprogramming in regenerative medicine for functional tissue restoration, highlighting the role of tissue‐resident cues in generating functionally mature reprogrammed cells from lineage‐related cells. It contains a discussion on mechanisms, reprogramming factors, delivery approaches, and applications
Rishabh Deo Singh, Mauro Calvoli, Kyeong Kyu Kim   +2 more
wiley   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

Advanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source

Space Jam‐Ming: Generating Interstitial Space Using Fragmented Granular GelMA to Investigate Novel Paradigms of Cancer Metastasis

Advanced Science, EarlyView.
Microgels enable independent control of stiffness and interstitial space, overcoming limitations of conventional 3D hydrogels. Using fragmented gelatin methacryloyl microgels, we show that stiffness does not restrict non‐metastatic breast cancer growth, contrary to bulk hydrogels, and reveal the role of adherent‐to‐suspension transition in cancer ...
Danielle Vahala, Zhuang Min Lee, Sebastian E. Amos, Dong Woo Son, Jong Hwa Byun, Farzan Navaeipour, Jiayue Li, Kai L. Metzner, Ji Hoon Jeong, Juyeon Kim, Yongsung Hwang, Brendan F. Kennedy, Khoon S. Lim, Hee Seung Lee, Hyun Woo Park, Yu Suk Choi   +15 more
wiley   +1 more source

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

Advanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge, Feifan Zhang, Yijiang Liu, Chao Jiang, Peng Gao, Nguan Soon Tan, Sai Zhang, Yuchen Shen, Qianyi Zhou, Xin Zhou, Xiao Wang, Fangqing Zhao, Chuchu Wang, Xiaotao Shen   +13 more
wiley   +1 more source

PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction

Advanced Science, EarlyView.
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley   +1 more source

Neonatal Sevoflurane Exposure Induces Long‐Term Cognitive Impairment via Epigenetically Mediated MMP9 Activation and Perineuronal Net Disruption in the Hippocampal CA2

Advanced Science, EarlyView.
Hippocampal CA2 perineuronal nets ensheathing excitatory pyramidal neurons are selectively vulnerable to repeated neonatal sevoflurane exposure. Epigenetic upregulation of MMP9 via reduced H3K27me3 disrupts PNN integrity, impairs BDNF–TrkB signaling, and causes synaptic protein loss and dendritic spine deficits, leading to persistent social and spatial
Lirong Liang, Jiachen Wang, Taozhi Wang, Yanling Li, Youyi Zhao, Guanghui Hao, Peiqin Gong, Ruling Chen, Yilin Fang, Shengxi Wu, Haopeng Zhang, Hui Zhang   +11 more
wiley   +1 more source