Results 41 to 50 of about 5,063,949 (192)

Introducing Borsantrazole: A Trifunctional Boron‐Based Pyrazole That Extends the Lifespan of Amyotrophic Lateral Sclerosis Mice

Advanced Science, EarlyView.
Herein we report a boron‐based pyrazole, (Borsantrazole ‐ a small molecule that selectively targets oxidative stress) that significantly increases survival, reduces weight loss, delays disease onset, and affects global protein changes in the SOD1‐G37R mouse model of ALS.
Nitesh Sanghai, Rhonda Kelley, Ying Lao, M. Immanuel Reyes Madlangsakay, Prasanta Paul, M. Alejandra Llanes‐Cuesta, Jun‐Feng Wang, René P. Zahedi, Jiming Kong, Geoffrey K. Tranmer   +9 more
wiley   +1 more source

AS‐TLC‐Based High‐Throughput Screening Integrated with CuAAC Optimization Strategy Facilitates the Rapid Discovery of YTHDC1 Inhibitor

Advanced Science, EarlyView.
We developed Affinity Selection Thin‐Layer Chromatography (AS‐TLC) as a method for high‐throughput screening (HTS) of compound mixtures. Furthermore, we integrated activity assays with AS‐TLC and identified a YTH domain‐containing protein 1 (YTHDC1) inhibitor. Building on this hit, we applied copper(I)‐catalyzed azide–alkyne cycloaddition (CuAAC) click
Mingchen Wang, Shuiping Fu, Ye Xu, Jia Gao, Jiwei Ren, Xu Yang, Hesong Xu, Ge Sun, Yanjie Li, Yanlin Wang, Lu Jin, Peijuan Chen, Ying Xu, Jianhao Li, Hua Lin, Chujiao Hu, Kaixian Chen, Huan Xiong, Cheng Luo, Shijie Chen   +19 more
wiley   +1 more source

A Measurement Set Partitioning Algorithm Based on CFSFDP for Multiple Extended Target Tracking in PHD Filter [PDF]

Radioengineering, 2021
The extended target probability hypothesis density (ET-PHD) filter is a promising approach for multiple extended target tracking. One crucial problem of the ET-PHD filter is partitioning the measurement set.
Y. Gong, C. Cui
doaj  

Improved GM-PHD Filter with Birth Intensity and Spawned Intensity Estimation Based on Trajectory Situation Feedback Control

Remote Sensing, 2022
The Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter can effectively track multiple targets in a single scenario. However, for GM-PHD, unknown target behavior, e.g., target birth or target intersection, produces difficulties in terms of ...
Chao Zhang, Zhengzhou Li, Yong Zhu, Zefeng Luo, Tianqi Qin   +4 more
doaj   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Catalytic Sulfur‐Atom Transfer Enabled by a Bis(disulfide) Titanium Complex

Angewandte Chemie International Edition, EarlyView.
Multi‐electron transformations with titanium are underexplored due to limited access to low‐valent precursors. The four‐electron activation of elemental sulfur by a Ti(IV) complex yields a rare titanium bis(disulfide) complex, enabling the efficient catalytic synthesis of isothiocyanates from isonitriles under mild conditions.
Sebastian Samir Cremer, Peter Coburger, Corinna Czernetzki, Gabriele Hierlmeier   +3 more
wiley   +1 more source

Regional variance for multi-object filtering [PDF]

, 2014
Recent progress in multi-object filtering has led to algorithms that compute the first-order moment of multi-object distributions based on sensor measurements.
Delande, Emmanuel D, Uney, Murat, Clark, Daniel E, Delande, Emmanuel, Clark, Daniel, Houssineau, Jeremie   +5 more
core   +1 more source

Isolating T‐Cell Potent Lentiviral Vector Subpopulations through Rational Design of Nanofiber Anion‐Exchange Adsorbents

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Generation of CAR‐T cell therapies relies predominantly on lentiviral vectors (LVs). As in vivo CAR‐T trials progress, demand for larger quantities of higher‐potency LV is expected. However, primary capture by anion‐exchange chromatography (AIEX) remains a major manufacturing bottleneck from use of adsorbents not tailored to LVs, leading to ...
George Pamenter, Gyorgy Ovari, Anurag Kulkarni, Thomas Williams‐Fegredo, Carol Knevelman, Kyriacos Mitrophanous, Lee Davies, Farzad Foroutan, Matthew Townsend, Stephen Goldrick, Daniel G. Bracewell   +10 more
wiley   +1 more source

Auxiliary particle implementation of the probability hypothesis density filter

, 2008
Optimal Bayesian multi-target filtering is, in general, computationally impractical due to the high dimensionality of the multi-target state. Recently Mahler, [9], introduced a filter which propagates the first moment of the multi-target posterior ...
Simon Godsill, Godsill, S, Nick Whiteley, Whiteley, NP, Singh, S, Sumeetpal Singh   +5 more
core   +2 more sources

Faà di Bruno’s formula and spatial cluster modelling [PDF]

, 2013
The probability generating functional (p.g.fl.) provides a useful means of compactly representing point process models. Cluster processes can be described through the composition of p.g.fl.s, and factorial moment measures and Janossy measures can be ...
Clark, Daniel E., Houssineau, Jeremie
core   +1 more source