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Material science synthesis procedures are a promising domain for scientific NLP, as proper modeling of these recipes could provide insight into new ways of creating materials. However, a fundamental challenge in building information extraction models for material science synthesis procedures is getting accurate labels for the materials, operations, and other entities of those procedures. We present a new corpus of entity mention annotations over 595 Material Science synthesis procedural texts (157,488 tokens), which greatly expands the training data available for the Named Entity Recognition task. We outline a new label inventory designed to provide consistent annotations and a new annotation approach intended to maximize the consistency and annotation speed of domain experts. Inter-annotator agreement studies and baseline models trained upon the data suggest that the corpus provides high-quality annotations of these mention types. This corpus helps lay a foundation for future high-quality modeling of synthesis procedures.
In recent years, speech synthesis system can generate speech with high speech quality. However, multi-speaker text-to-speech (TTS) system still require large amount of speech data for each target speaker. In this study, we would like to construct a m ulti-speaker TTS system by incorporating two sub modules into artificial neural network-based speech synthesis system to alleviate this problem. First module is to add speaker embedding into encoding module for generating speech while a large amount of the speech data from target speaker is not necessary. For speaker embedding method, in our study, two main speaker embedding methods, namely speaker verification embedding and voice conversion embedding, are compared to deciding which one is suitable for our personalized TTS system. Second, we substituted the conventional post-net module, which is adopted to enhance the output spectrum sequence, to further improving the speech quality of the generated speech utterance. Here, a post-filter network is used. Finally, experiment results showed that the speaker embedding is useful by adding it into encoding module and the resultant speech utterance indeed perceived as the target speaker. Also, the post-filter network not only improving the speech quality and also enhancing the speaker similarity of the generated speech utterances. The constructed TTS system can generate a speech utterance of the target speaker in fewer than 2 seconds. In the future, we would like to further investigate the controllability of the speaking rate or perceived emotion state of the generated speech.
Many chemical compounds (bases, inorganic acids, salts) have been used to find a suitable solvent for vanadium oxide And determine optimal conditions for its Dissolution.The best of them was sodium hydroxide at 2M concentration. The solubility was 100% at 90 °C and the solubilitys time was 30 min. The number of motor cycles was 800 cycles / min and the liquid / solid ratio was 200 g / L. In addition,the best amino protonadted compounds were used to precipitate vanadates from their solutions (monoethanolamine, diphenylamine, hydrazine, hydroxide amine hydrochloride, urea) with several inorganic acids (HCl, H2SO4, HNO3) and 1: 1 acid/base was monoethanolamine protonated with concentrated sulfur acid .
The study addresses the synthesis of two organic phosphoric compounds that have the P-NH-c bridge, They have the following chemical formula (PhO)2P(O)-NH-C(CH3)=CHCN ( abbreviated as PCNO) and The compound (abbreviated as PCNS) The compound were s ynthesized in the center of acetonitrile and having a strong base of sodium hydride NaH by Diphenyl chloro phosphate (PhO)2POCl compounds and Diphenyl chloro thio phosphate (PhO)2PSCl compound Respectively . Some of the physical and chemical properties of the synthetic composites, such as the melting point, dissolution , and the withdrawal of some important spectra such as the IR spectra and the NMR spectra were used in the extraction of the copper(II) Ions from the of medium sulphates, Lesson of Partition Coefficient Copper Dcu between aqueous medium of organic medium containing different concentrations of organic phosphorus compounds prepared previously. Partition Coefficient copper(II) ion distribution was studied in terms of the change in the value of PH (PH = 4 --- 6) at the constant concentration of the extract used previously .The Spectrophotometer for calculating copper concentrations was used Depending on absorption , and the two previous components were compared .
Aseries of Schiff base and their derivative (fluorene) have been synthesized primary amines was condensed with 2-acetyl fluorene in DMF (dimethyl formamide) in the presence of conc. HCl acid as catalyst to yield the Schiff base (1). The Schiff base (2,3) and (4) were prepared from the reaction of Schiff base (1) with 2-hydroxy-5-methyl-1,3- benzenedicarboxaldehyde and 2,5-dihydroxy benzaldehyde respectively. and The Schiff’s base (4) was treated with monochloroacetyl choride to give 1- substituted-4(2-fluorenyl)-3- chloro Azolidine-2-on (5).
Phenol derivatives have been reacted with aryl halides under heterogeneous basic catalyst (Amberlyst-21) using 5 mol% Cu(I) Complex as catalyst, [CuClPPh3]4. The typical reaction has been performed between p-cresol and bromobenzene. This reaction is achieved in o-xylene as solvent. However, the catalyst complex does not dissolve in toluene rather it acts as heterogeneous catalyst. Therefore, it is filtrated at the end of the reaction and reused several times. Accordingly, new compounds were prepared by reacting one of the bromoaryl derivatives with paracetamol. It is anticipated that the synthesized compounds may have pharmaceutical application as non-steroidial anti-inflammatory drugs (NSAIDs).
this paper illustrates two methods of having a desired sectoral pattern using the techniques of antenna synthesizing ,we will calculate the array excitation coefficients by using Fourier transform and Woodward method , beside studying the effect of increasing the array elements on the desired radiation pattern and the side loop level at a constant distance. Finally we will compare the results of the two methods showing their advantages and disadvantages.
We have synthesized some new compounds from 2-Acetyl Fluorene\ Thiophene 2-carbaldehyde chalcone via condensation and cyclization reactions between the chalcone and each of thiourea and urea, hydroxylamine hydrochloride and hydrazine hydrate, these reactions afford these compounds: 3-(2-fluorenyl)-5-(2-thienyl) pyrazoline(4), 3-(2-fluorenyl)-5-(2-thienyl) Isoxazoline(3), 4-(2-fluorenyl)-6-(2-thienyl) pyrimidinone-2 (2) and 4-(2-fluorenyl)-6-(2-thienyl) pyrimidine-2 tione (1). Also 3-(2-fluorenyl)-5-(2-thienyl) isoxazole (5), were prepared via bromination of chalcon and cyclization the later with hydroxylamine hydrochloride. Identification and determination of compounds structurs were carried out by (IR, 1H-NMR, 13C-NMR, LC-MS) spectrum Analysis.
In this paper we describe a cepstral model of the vocal tract which models both formants and antiformants. The investigated model is more precise compared to the linear prediction model, which models only the formants of the vocal tract. The expone ntial function is used for the inverse transformation. However, it is difficult to implement this function on a digital signal processor. To solve this issue we use a continued fraction expansion to approximate the exponential function. The transfer function that approximates the exponential function is realized by using the Infinite Impulse Response (IIR) digital filter, in which branches type Finite Impulse Response (FIR) digital filters are included. The coefficients of the FIR digital filters are just the coefficients of the real speech cepstrum. The state-space difference equations are proposed and implemented on a DSP56300 fixed-point digital signal processor (Motorola). Finally, the results of the digital signal processor implementation for chosen vowels and consonants are evaluated.
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