139 research outputs found
Crystal structure, Hirshfeld surface and spectroscopic studies of the noncentrosymmetric Bi(III) halide complex: [C8H12N]3BiCl6
No full textA new organic–inorganic hybrid material with the formula [C8H12N]3BiCl6 has been synthesized and characterized by spectroscopic techniques and single crystal X-ray structure determination. This compound crystallizes in the non-centrosymmetric space group Pna21 of the orthorhombic system with crystallographic parameters a = 25.5620(2), b = 16.7170(5), c = 7.8840(4) Å, V = 3369.0(2) Å3 and Z = 4. Its structure consists of discrete [BiCl6]3− anions, showing the distorted octahedral geometry, surrounded by three crystallographically independent 2-phenylethylammonium cations. The crystal packing is governed by the formation of a number of N–H⋯Cl hydrogen bonds arranged in a three-dimensional network. Crystal structure analysis supported with the Hirshfeld surface and fingerprint plots enabled the identification of the significant intermolecular interactions. The 13C and 15N CP-MAS NMR spectra are in agreement with the X-ray structure. The optical properties of [C8H12N]3BiCl6 were investigated by UV–Vis and luminescence spectroscopy. The differential scanning calorimetry (DSC) revealed that the title compound is stable up to 210 °C
Structural, vibrational, optical properties and theoretical studies of new noncentrosymmetric material: Bis(2-Amino-5-(methylthio)-1,3,4-thiadiazol-3-ium) pentachloroantimonate
No full textA new non-centrosymmetric Sb(III) halide complex with formula (C3H6N3S2)(2)SbCl5 (complex 1) has been synthesized by reaction between antimony trioxide (Sb2O3) and 2-Amino-5-(methylthio)-1,3,4-thiadiazole (AMT,) in an aqueous solution of hydrochloric acid. Single crystal X-ray diffraction analysis shows that this compound crystallizes in orthorhombic system with the non-centrosymmetric space group Pna2(1). Its crystal structure consists of isolated (C3H6N3S2)(+) cations and square pyramidal shape [SbCl5](2-) anions. The anions are disposed to form a polymeric chain in which each subunit is connected to the others through a Cl bridge. The organic cations are connected to these chains via H-bonding N-H center dot center dot center dot Cl and C-H center dot center dot center dot Cl. The intermolecular interactions which ensure the cohesion between different entities were analyzed by DFT calculations and Hirshfeld surface analysis. Ab-initio DFT calculations were also used to investigate geometric and electronic properties of complex 1 and AMT. Absorption, photoluminescence and infrared spectroscopy have been carried out. DFT calculations with different functionals have been used to gain a better insight into its vibrational and optical properties and a good agreement was found between experiments and calculations. The thermal stability of compound was studied by thermal analysis. Published by Elsevier B.V
A multi-modal dance corpus for research into real-time interaction between humans in online virtual environments
No full textWe present a new, freely available, multimodal corpus for research into, amongst other areas, real-time realistic interaction between humans in online virtual environments. The specific corpus scenario focuses on an online dance class application scenario where students, with avatars driven by whatever 3D capture technology are locally available to them, can learn choerographies with teacher guidance in an online virtual ballet studio. As the data corpus is focused on this scenario, it consists of student/teacher dance choreographies concurrently captured at two different sites using a variety of media modalities, including synchronised audio rigs, multiple cameras, wearable inertial measurement devices and depth sensors. In the corpus, each of the several dancers perform a number of fixed choreographies, which are both graded according to a number of specific evaluation criteria. In addition, ground-truth dance choreography annotations are provided. Furthermore, for unsynchronised sensor modalities, the corpus also includes distinctive events for data stream synchronisation. Although the data corpus is tailored specifically for an online dance class application scenario, the data is free to download and used for any research and development purposes
One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
No full textAdapting a segmentation model from a labeled source domain to a target domain, where a single unlabeled datum is available, is one of the most challenging problems in domain adaptation and is otherwise known as one-shot unsupervised domain adaptation (OSUDA). Most of the prior works have addressed the problem by relying on style transfer techniques, where the source images are stylized to have the appearance of the target domain. Departing from the common notion of transferring only the target "texture" information, we leverage text-to-image diffusion models (e.g., Stable Diffusion) to generate a synthetic target dataset with photo-realistic images that not only faithfully depict the style of the target domain, but are also characterized by novel scenes in diverse contexts. The text interface in our method Data AugmenTation with diffUsion Models (DATUM) endows us with the possibility of guiding the generation of images towards desired semantic concepts while respecting the original spatial context of a single training image, which is not possible in existing OSUDA methods. Extensive experiments on standard benchmarks show that our DATUM surpasses the state-of-the-art OSUDA methods by up to +7.1%. The implementation is available at : https://github.com/yasserben/DATU
Audiovisual Analysis of Music Performances: Overview of an Emerging Field
No full textIn the physical sciences and engineering domains, music has traditionally been considered an acoustic phenomenon. From a perceptual viewpoint, music is naturally associated with hearing, i.e., the audio modality. Moreover, for a long time, the majority of music recordings were distributed through audio-only media, such as vinyl records, cassettes, compact discs, and mp3 files. As a consequence, existing automated music analysis approaches predominantly focus on audio signals that represent information from the acoustic rendering of music.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Multimedia Computin
Viennot L. avec la collaboration de Besson U., Chauvet F., Colin P., Hirn-Chaine C., Kaminski W., Rainson S. (2002). Enseigner la physique. Bruxelles, Paris, De Boeck, 248 p
No full textSassi E. Viennot L. avec la collaboration de Besson U., Chauvet F., Colin P., Hirn-Chaine C., Kaminski W., Rainson S. (2002). Enseigner la physique. Bruxelles, Paris, De Boeck, 248 p. In: Didaskalia, n°22, 2003. Concepts et conceptions. pp. 138-139
Development of a natural preservative obtained from chestnut flowers through the optimization of an ultrasonic assisted extraction technique
No full textMestrado de dupla diplomação com a Université Libre de TunisThe chestnuts are a group of nine species of deciduous trees and shrubs in the genus Castanea, in the beech family Fagaceae. Due to the nutritional properties, chestnuts have historically been used for human and animal consumption. Several by-products are produced during chestnut industrial processing, such as chestnut wood, flowers, leaves, shells, barks, and burs. Such by-products are a significant source of antioxidant compounds and can be used as food additives to be incorporated in food products to optimize nutritional and quality characteristics and to prevent oxidation processes. The aim of this research work was to optimize the conditions for the extraction of phenolic compounds from male chestnut flowers using ultrasonic-assisted extraction in order to develop an extract rich in phenolic compounds and, study it potential as a natural ingredient with potential industrial application. Time (t), ultrasound potencial (P) and solvent (S) were the conditions optimized by response surface methodology using a 5-level experimental design. The responses used as criteria were the quantification of the individual phenolic compounds identified by HPLC-DAD-ESI/MS and the extraction yield of the obtained residue. Based on their chromatographic, UV-vis and mass spectra characteristics, fourteen compounds were identified of which seven were hydrolysable tannins and seven were flavonoids being trigalloyl-HHDP-glucoside the major compound found. The conditions that maximized the total phenolic content was found at t= 23.47±2.90 min, P= 258.78±16.09 W and S= 50.51±7.11% ethanol producing an extract with 21.86±8.84 mg of phenolic compounds per g of extract. In this way, this study allowed to define the best conditions for the extraction of bioactive compounds and confirm the potential of the extract of male chestnut flowers as a natural ingredient for functional foods, providing health benefits.Os castanheiros são um grupo de nove espécies de árvores caducas e arbustos do gênero Castanea, da família das faias Fagaceae. Devido às propriedades nutricionais, as castanhas têm sido historicamente utilizadas para consumo humano e animal. Vários subprodutos são produzidos durante o processamento industrial da castanha, nomeadamente a madeira de castanho, flores, folhas, cascas e, ouriços. Esses subprodutos são uma fonte significativa de compostos antioxidantes e podem ser utilizados como aditivos alimentares a serem incorporados em produtos alimentares de forma a otimizar as características nutricionais e de qualidade e prevenir processos de oxidação. O objetivo deste trabalho de pesquisa foi otimizar as condições de extração de compostos fenólicos de flores masculinas de castanheiro através de extração assistida por ultrassons visando o desenvolvimento de um extrato rico em compostos fenólicos e, estudar seu potencial como ingrediente natural com potencial aplicação industrial. Tempo (t), potência (P) e solvente (S) foram as condições otimizadas pela metodologia de superfície de resposta usando um desenho experimental de 5 níveis. As respostas utilizadas como critérios foram a quantificação dos compostos fenólicos individuais identificados por HPLC-DAD-ESI / MS e o rendimento de extração do resíduo obtido. Com base nas características cromatográficas, UV-vis e espectros de massa, foram identificados catorze compostos, dos quais sete taninos hidrolisáveis e sete flavonóides, sendo o trigaloil-HHDP-glucosídeo o principal composto encontrado. As condições que maximizaram o conteúdo fenólico total foram encontradas em t = 23,47 ± 2,90 min, P = 258,78 ± 16,09 W e S = 50,51 ± 7,11% de etanol, produzindo um extrato com 21,86 ± 8,84 mg de compostos fenólicos por g de extrato. Desta forma, este estudo permitiu definir as melhores condições para a extração de compostos bioativos e confirmar o potencial do extrato de flores masculinas de castanheiro como ingrediente natural para alimentos funcionais, proporcionando benefícios à saúde.The authors are grateful to FEDER-Interreg España-Portugal programme for financial support through the project 0377_Iberphenol_6_E and TRANSCoLAB 0612_TRANS_CO_LAB_2_P
Medley-solos-DB: a cross-collection dataset for musical instrument recognition
No full textMedley-solos-DB
=============
Version 1.2 March 2019.
Created By
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Vincent Lostanlen (1), Carmine-Emanuele Cella (2), Rachel Bittner (3), Slim Essid (4).
(1): New York University
(2): UC Berkeley
(3): Spotify, Inc.
(4): Télécom ParisTech
Description
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Medley-solos-DB is a cross-collection dataset for automatic musical instrument recognition in solo recordings. It consists of a training set of 3-second audio clips, which are extracted from the MedleyDB dataset of Bittner et al. (ISMIR 2014) as well as a test set set of 3-second clips, which are extracted from the solosDB dataset of Essid et al. (IEEE TASLP 2009). Each of these clips contains a single instrument among a taxonomy of eight: clarinet, distorted electric guitar, female singer, flute, piano, tenor saxophone, trumpet, and violin.
The Medley-solos-DB dataset is the dataset that is used in the benchmarks of musical instrument recognition in the publications of Lostanlen and Cella (ISMIR 2016) and Andén et al. (IEEE TSP 2019).
[1] V. Lostanlen, C.E. Cella. Deep convolutional networks on the pitch spiral for musical instrument recognition. Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016.
[2] J. Andén, V. Lostanlen, and S. Mallat. Joint time-frequency scattering. IEEE Transactions in Signal Processing, vol. 67, no. 14, pp. 3704-3718, 2019. doi: 10.1109/TSP.2019.2918992
Data Files
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The Medley-solos-DB contains 21571 audio clips as WAV files, sampled at 44.1 kHz, with a single channel (mono), at a bit depth of 32. Every audio clip has a fixed duration of 2972 milliseconds, that is, 65536 discrete-time samples.
Every audio file has a name of the form:
Medley-solos-DB_SUBSET-INSTRUMENTID_UUID.wav
For example:
Medley-solos-DB_test-0_0a282672-c22c-59ff-faaa-ff9eb73fc8e6.wav
corresponds to the snippet whose universally unique identifier (UUID) is 0a282672-c22c-59ff-faaa-ff9eb73fc8e6, contains clarinet sounds (clarinet has instrument id equal to 0), and belongs to the test set.
Metadata Files
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The Medley-solos-DB_metadata is a CSV file containing 21572 rows (one for each audio clip) and five columns:
1. subset: either "training", "validation", or "test"
2. instrument: tag in Medley-DB taxonomy, such as "clarinet", "distorted electric guitar", etc.
3. instrument id: integer from 0 to 7. There is a one-to-one between "instrument" (string format) and "instrument id" (integer). We provide both for convenience.
4. song id: integer from 0 to 226. The track and artist names are anonymized.
5. UUID4: universally unique identifier. Assigned and random, and different for every row.
The list of instrument classes is:
0. clarinet
1. distorted electric guitar
2. female singer
3. flute
4. piano
5. tenor saxophone
6. trumpet
7. violin
Please acknowledge Medley-solos-DB in academic research
---------------------------------------------------------------------------------
When Medley-solos-DB is used for academic research, we would highly appreciate it if scientific publications of works partly based on this dataset cite the following publication:
V. Lostanlen, C.E. Cella. Deep convolutional networks on the pitch spiral for musical instrument recognition. Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016.
The creation of this dataset was supported by ERC InvariantClass grant 320959.
Conditions of Use
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Dataset created by Vincent Lostanlen, Rachel Bittner, and Slim Essid, as a derivative work of Medley-DB and solos-Db.
The Medley-solos-DB dataset is offered free of charge under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license:
https://creativecommons.org/licenses/by/4.0/
The dataset and its contents are made available on an "as is" basis and without warranties of any kind, including without limitation satisfactory quality and conformity, merchantability, fitness for a particular purpose, accuracy or completeness, or absence of errors. Subject to any liability that may not be excluded or limited by law, the authors are not liable for, and expressly exclude all liability for, loss or damage however and whenever caused to anyone by any use of the Medley-solos-DB dataset or any part of it.
Feedback
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Please help us improve Medley-solos-DB by sending your feedback to:
[email protected]
In case of a problem, please include as many details as possible.
Acknowledgement
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We thank all artists, recording engineers, curators, and annotators of both MedleyDB and solosDb.</p
Development of a natural preservative obtained from chestnut flowers through the optimization of an ultrasonic assisted extraction technique
No full textMestrado de dupla diplomação com a Université Libre de TunisThe chestnuts are a group of nine species of deciduous trees and shrubs in the genus Castanea, in the beech family Fagaceae. Due to the nutritional properties, chestnuts have historically been used for human and animal consumption. Several by-products are produced during chestnut industrial processing, such as chestnut wood, flowers, leaves, shells, barks, and burs. Such by-products are a significant source of antioxidant compounds and can be used as food additives to be incorporated in food products to optimize nutritional and quality characteristics and to prevent oxidation processes. The aim of this research work was to optimize the conditions for the extraction of phenolic compounds from male chestnut flowers using ultrasonic-assisted extraction in order to develop an extract rich in phenolic compounds and, study it potential as a natural ingredient with potential industrial application. Time (t), ultrasound potencial (P) and solvent (S) were the conditions optimized by response surface methodology using a 5-level experimental design. The responses used as criteria were the quantification of the individual phenolic compounds identified by HPLC-DAD-ESI/MS and the extraction yield of the obtained residue. Based on their chromatographic, UV-vis and mass spectra characteristics, fourteen compounds were identified of which seven were hydrolysable tannins and seven were flavonoids being trigalloyl-HHDP-glucoside the major compound found. The conditions that maximized the total phenolic content was found at t= 23.47±2.90 min, P= 258.78±16.09 W and S= 50.51±7.11% ethanol producing an extract with 21.86±8.84 mg of phenolic compounds per g of extract. In this way, this study allowed to define the best conditions for the extraction of bioactive compounds and confirm the potential of the extract of male chestnut flowers as a natural ingredient for functional foods, providing health benefits.Os castanheiros são um grupo de nove espécies de árvores caducas e arbustos do gênero Castanea, da família das faias Fagaceae. Devido às propriedades nutricionais, as castanhas têm sido historicamente utilizadas para consumo humano e animal. Vários subprodutos são produzidos durante o processamento industrial da castanha, nomeadamente a madeira de castanho, flores, folhas, cascas e, ouriços. Esses subprodutos são uma fonte significativa de compostos antioxidantes e podem ser utilizados como aditivos alimentares a serem incorporados em produtos alimentares de forma a otimizar as características nutricionais e de qualidade e prevenir processos de oxidação. O objetivo deste trabalho de pesquisa foi otimizar as condições de extração de compostos fenólicos de flores masculinas de castanheiro através de extração assistida por ultrassons visando o desenvolvimento de um extrato rico em compostos fenólicos e, estudar seu potencial como ingrediente natural com potencial aplicação industrial. Tempo (t), potência (P) e solvente (S) foram as condições otimizadas pela metodologia de superfície de resposta usando um desenho experimental de 5 níveis. As respostas utilizadas como critérios foram a quantificação dos compostos fenólicos individuais identificados por HPLC-DAD-ESI / MS e o rendimento de extração do resíduo obtido. Com base nas características cromatográficas, UV-vis e espectros de massa, foram identificados catorze compostos, dos quais sete taninos hidrolisáveis e sete flavonóides, sendo o trigaloil-HHDP-glucosídeo o principal composto encontrado. As condições que maximizaram o conteúdo fenólico total foram encontradas em t = 23,47 ± 2,90 min, P = 258,78 ± 16,09 W e S = 50,51 ± 7,11% de etanol, produzindo um extrato com 21,86 ± 8,84 mg de compostos fenólicos por g de extrato. Desta forma, este estudo permitiu definir as melhores condições para a extração de compostos bioativos e confirmar o potencial do extrato de flores masculinas de castanheiro como ingrediente natural para alimentos funcionais, proporcionando benefícios à saúde.The authors are grateful to FEDER-Interreg España-Portugal programme for financial support through the project 0377_Iberphenol_6_E and TRANSCoLAB 0612_TRANS_CO_LAB_2_P
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