Person Re-Identification Method Based on Dual Descriptor Feature Enhancement [PDF]
Entropy, 2023 Person re-identification is a technology used to identify individuals across different cameras. Existing methods involve extracting features from an input image and using a single feature for matching.
Ronghui Lin +5 more
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The Dual Descriptor Reveals the Janus–Faced Behaviour of Diiodine [PDF]
Frontiers in Chemistry, 2022 The Janus–faced ligand behavior of diiodine (I2) was evidenced after applying the dual descriptor (DD or second-order Fukui function), thus providing additional support to the work performed by Rogachev and Hoffmann in 2013.
Jorge I. Martínez-Araya
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Universal and Interpretable Descriptor to Design Dual‐atom Catalysts for Multi‐Type C–C Coupling with Ultrahigh C2+ Yield [PDF]
Advanced ScienceDual‐atom catalysts (DACs) have demonstrated superior performance in the C─C coupling processes to generate multi‐carbon (C2+) products due to the multiple metal sites of DACs.
Yuming Gao +7 more
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Unified electronic-geometric descriptor deciphers peroxymonosulfate activation using Fe-based dual-atom catalysts [PDF]
Nature CommunicationsThe rational design of high-efficiency Fenton-like catalysts remains hindered by insufficient understanding of electronic-geometric synergy in peroxymonosulfate (PMS) activation.
Yifei Wang +8 more
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Evaluating the Effectiveness of Reference Solvent Solubility Calculations for Binary Mixtures Based on Pure Solvent Solubility: The Case of Phenolic Acids [PDF]
MoleculesPredicting the solubility of active pharmaceutical ingredients (APIs) in binary solvent mixtures is a major challenge in formulation science, as physics-based models often fail to capture complex, non-additive mixing effects. This study presents a robust
Piotr Cysewski +4 more
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Electrochemical CO2 Reduction on Janus Dual‐Atom Catalysts: Critical Role of Oxygen Coordination and an Effective Descriptor [PDF]
Advanced ScienceDual‐atom catalysts (DACs) embedded in nitrogen‐doped graphene have been widely studied for electrochemical CO2 reduction (CO2R), primarily yielding CO. However, achieving selectivity for C1 hydrocarbons remains challenging.
Hongling Liu +5 more
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Deep spectrotemporal network based depression severity estimation from speech [PDF]
Scientific ReportsDepression is a severe mental health disorder that profoundly affects individuals, characterized by persistent sadness, reduced enthusiasm, and impaired concentration, ultimately impacting daily life.
Ishana Jabbar +3 more
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Orbital: The Electronic Journal of Chemistry, 2021 In the present work, a combined approach based on conceptual-DFT formalism and molecular docking simulations were performed to investigate the chemical reactivity of six Benzodiazepine analogs.
Rachida Djebaili +6 more
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A DFT study of the chemical reactivity of thiobencarb and its oxidized derivatives in aqueous phase [PDF]
Journal of the Serbian Chemical Society, 2018 In the present work, the global and local reactivity of S-(4-chlorobenzyl)- N,N-diethylthiocarbamate (TB) and its oxidized derivatives (sulfone (TBSu) and sulfoxide (TBS) were analyzed. In addition, the chemical reactivities of the dechlorinated forms of
Mendoza-Huizar Luis Humberto
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Advanced Science, 2022 Urea electrosynthesis under mild conditions starting from the adsorption of inert N2 molecules has brought out a promising alternative experimentally to conquer its huge energy consumption in industrial Haber‐Bosch process.
Changyan Zhu +6 more
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