Results 51 to 60 of about 86,910 (166)

The klattgrid speech synthesizer [PDF]

Interspeech 2009, 2009
We present a new speech synthesizer class, named KlattGrid,for the Praat program [3]. This synthesizer is based on the originaldescription of Klatt [1, 2]. New aspects of a KlattGridin comparison with other Klatt-type synthesizers are that aKlattGrid is not frame-based but time-based.
openaire   +2 more sources

Computational Characterization of Bidentate P-Donor Ligands: Direct Comparison to Tolman’s Electronic Parameters

Molecules, 2018
The applicability of two types of transition-metal carbonyl complexes as appropriate candidates for computationally derived Tolman’s ligand electronic parameters were examined with density functional theory (DFT) calculations employing the B97D3 ...
Tímea R. Kégl, Noémi Pálinkás, László Kollár, Tamás Kégl   +3 more
doaj   +1 more source

Synthesized Light Transients

Science, 2011
Light spanning the near infrared to the ultraviolet has been confined in pulses shorter than a single optical cycle.
Wirth, A., Hassan, M., Grguraš, I., Gagnon, J., Moulet, A., Luu, T., Pabst, S., Santra, R., Alahmed, Z., Azzeer, A., Yakovlev, V., Pervak, V., Krausz, F., Goulielmakis, E.   +13 more
openaire   +4 more sources

Optimization of Antifungal Properties of Hop Cone Carbon Dioxide Extracts Based on Response Surface Methodology

Molecules
Response surface methodology (RSM) was employed to optimize the process parameters of the supercritical carbon dioxide extraction of hop cones in terms of their antifungal properties against Fusarium culmorum and Aspergillus niger.
Katarzyna Tyśkiewicz, Renata Tyśkiewicz, Marcin Konkol, Marcin Gruba, Rafał Kowalski   +4 more
doaj   +1 more source

Enhancing Unconditional Molecule Generation via Online Knowledge Distillation of Scaffolds

Molecules
Generating new drug-like molecules is an essential aspect of drug discovery, and deep learning models significantly accelerate this process. Language models have demonstrated great potential in generating novel and realistic SMILES representations of ...
Huibin Wang, Zehui Wang, Minghua Shi, Zixian Cheng, Ying Qian   +4 more
doaj   +1 more source

New Stable Cu(I) Catalyst Supported on Weakly Acidic Polyacrylate Resin for Green C-N Coupling: Synthesis of N-(Pyridin-4-yl)benzene Amines and N,N-Bis(pyridine-4-yl)benzene Amines

Molecules, 2016
A method for preparation of a new stable Cu(I) catalyst supported on weakly acidic polyacrylate resin without additional stabilizing ligands is described.
Nitin Kore, Pavel Pazdera
doaj   +1 more source

Fluorine-induced gradient electric field in mesoporous covalent organic frameworks for efficient separation of polarized perfluorinated gases

Nature Communications
The challenge of effectively capturing and separating perfluorinated gases is critical due to environmental concerns and the potential to recover these gases as high-value products in the silicon semiconductor industry.
Mengyao Chen, Yu Zhao, Dan Wen, Wenkang Gong, Yuqing Chen, Yijing Gao, Yue Yu, Guolong Xing, Yuanbin Zhang, Weidong Zhu, Teng Ben   +10 more
doaj   +1 more source

Assessment of the Impact of Biodegradable Coated Fertilizers on Corn Yield

Agriculture
The aim of the study was to assess the impact of fertilizer type (urea, compound fertilizer), biodegradable coating type (linseed oil or hemp oil based) and nitrogen dose (135 and 180 kg N·ha−1) on the yield of corn intended for silage.
Łukasz Rusek, Marzena Sylwia Brodowska, Paulina Bogusz, Piotr Rusek   +3 more
doaj   +1 more source

CONSMI: Contrastive Learning in the Simplified Molecular Input Line Entry System Helps Generate Better Molecules

Molecules
In recent years, the application of deep learning in molecular de novo design has gained significant attention. One successful approach involves using SMILES representations of molecules and treating the generation task as a text generation problem ...
Ying Qian, Minghua Shi, Qian Zhang
doaj   +1 more source

DDI‐Transform: A neural network for predicting drug‐drug interaction events

Quantitative Biology
Drug‐drug interaction (DDI) event prediction is a challenging problem, and accurate prediction of DDI events is critical to patient health and new drug development.
Jiaming Su, Ying Qian
doaj   +1 more source