Miracle-dz/UniFAR-FTUs huggingface dataset:
Fault Detection of Wind Turbine Converters with Time Sequence Processing and Attention Model

Fault detection methods of converters can improve the stability of wind turbines and reduce the maintenance cost. In order to achieve more accurate converter fault detection, this paper proposes an encoder-decoder structure based on the Long Short-Term Memory (LSTM) network. The LSTM network is considered to extract the sequence information of SCADA data to improve the accuracy of fault detection. Moreover, we introduce attention models into our method. Attention models can enable the network to selectively focus on the most useful variables and data during training and testing period. Specifically, we use the time attention model to calculate the importance of data at different times in the sequence, and the feature attention model to learn the importance of different variables. Experimental results on SCADA data show that our method achieves 7% -14% higher fault detection accuracy than other anomaly detection methods.
Evaluation of the Protective Effect of Citrullus lanatus (Water Melon) Fruit-Parts Extracts on the Liver of Acetaminophen-Intoxicated Albino Rats

There is always the need to study the bioactive components present in the various parts of edible fruits. This will go a long way to providing an idea of its potential biological benefits when consumed. The current study evaluated the protective effect of C. lanatus fruit’s endocarp/exocarp, mesocarp and seed extracts on the liver of albino rats. The qualitative and quantitative phytochemical analysis was also done following standard methods. The albino rats were divided into nine groups of five per group and treated thus; group 1 (normal control), group 2, Acetaminophen (2 g/kg), group 3, 200 mg/kg silymarin + 2 g/kg Acetaminophen, group 4, 200 mg/kg mesocarp + 2 g/kg Acetaminophen, group 5, 400 mg/kg, group 6, 200 mg/kg exocarp, group 7, 400 mg/kg exocarp, group 8, 200 mg/kg seeds, group 9, 400 mg/kg seeds. The pre-treatment with the extracts lasted for 14 days then acetaminophen administered. The rats were sacrificed after 48 hours of intoxication. Results showed the presence of alkaloids, phenolics, Tannins, steroids and terpenoids and glycosides while saponins and flavonoids were not detected in the endocarp. In the mesocarp, glycosides, phenolics, steroids and terpenoids and tannins were present while Saponins and flavonoids were not detected. Seed extract showed the presence of alkaloids, flavonoids, phenolics, tannins, steroids and terpenoids. Glycosides and saponins were not detected. The activities of AST, ALT and ALP were significantly (p
Determinants of Youth Unemployment: Evidence from Jordan

: Purpose: This study's main objective is to identify and analyze the main determinants of youth unemployment in Jordan. Design/Approach/Methodology: The study employs a Multinomial logistic regression model (MLM) to analyze the determinants of youth unemployment in Jordan using data based on the Jordan labor market panel survey (JLMPS) in 2016, which was conducted by the Department of Statistics (DOS). Findings: The study finds that youth employment in Jordan is influenced by gender, educational level, geographical location, and marital status. According to the youths covered by this study, male youth stand a better chance of being employed than the female counterpart. Therefore, special attention must be paid to integrating the youth and particularly females better into the labor market for increasing the prospect of their employment. Practical Implication: The results can be used to mitigate the problems of youth unemployment, especially female youth unemployment, in Jordan and other Arab countries. Policymakers must focus on certain constraints, such as mobility and cultural factors, as roadblocks that may cause relatively higher youth female unemployment. Originality/Value : This is one of the latest attempts to identify, investigate, and analyze the causes of youth unemployment in Jordan. The study adds to scholarly debate on youth unemployment's main determinants by giving evidence from a developing country. However, this study unveils a unique feature of youth unemployment in Jordan; this study will bridge the literature gap, especially for Jordan, and help improve overall youth unemployment .
Soundscape assessment in historical urban spaces using sound walk method and Kano model

BACKGROUND AND OBJECTIVES: Sound is one of the most important tools for recognizing urban spaces. Zandieh area of Shiraz as one of the historic context shaped during the ages hase been chosen in order to obtain a proper response to the individual's perception of urban historic spaces soundscape. The main object of this manuscript achieves a sufficient way in order to organize urban soundscape by utilizing assessments and perception data perceived by users. METHODS: The narrative interview method (a sample group of 129 users who were active in space for more than 30 minutes) and behavior observation which are subsets of the sound walking technique have been used; Also, the data which were collected in the previous stage, based on the components of the Kano model, were categorized into three categories of basic, performance and attractiveness. FINDING: With regard to the findings and assessments in the case study, it can be inferred that 69% of the urban space's users perceive noises such as underpass fans' noise more than any others; Consequently, this has led to the lack of acceptance by space users; Also, it was cleared by interviewing listeners in urban space that 59% of the interviewees have preferred natural Sounds to human and 76% preferred tranquility at the urban environment While only 11% of the users preferred the development of a vibrant space. CONCLUSION: Base on that strategies such as planting vegetation in order to prevent the street noise, allocating water bodies in order to have water sound with proper shading and a Desirable view of historical spaces to increase the sense of richness have been presented. Also, in order to achieve an efficient method to improve the soundscapes of urban environments, basic strategies, performance strategies and at last strategies for increasing the attractiveness of urban environments' soundscape should be implemented.
Two viewpoints for software failures and their relation in probabilistic safety assessment of digital instrumentation and control systems

As the use of digital systems in nuclear power plants increases, the reliability of the software becomes one of the important issues in probabilistic safety assessment. In this paper, two viewpoints for a software failure during the operation of a digital system or a statistical software test are identified, and the relation between them is provided. In conventional software reliability analysis, a failure is mainly viewed with respect to the system operation. A new viewpoint with respect to the system input is suggested. The failure probability density functions for the two viewpoints are defined, and the relation between the two failure probability density functions is derived. Each failure probability density function can be derived from the other failure probability density function by applying the derived relation between the two failure probability density functions. The usefulness of the derived relation is demonstrated by applying it to the failure data obtained from the software testing of a real system. The two viewpoints and their relation, as identified in this paper, are expected to help us extend our understanding of the reliability of safety-critical software.
Data-Driven Protection Levels for Camera and 3D Map-based Safe Urban Localization

Reliably assessing the error in an estimated vehicle position is integral for ensuring the vehicle’s safety in urban environments. Many existing approaches use GNSS measurements to characterize protection levels (PLs) as probabilistic upper bounds on the position error. However, GNSS signals might be reflected or blocked in urban environments, and thus additional sensor modalities need to be considered to determine PLs. In this paper, we propose a novel approach for computing PLs by matching camera image measurements to a LiDAR-based 3D map of the environment. We specify a Gaussian mixture model probability distribution of position error using deep neural network-based data-driven models and statistical outlier weighting techniques. From the probability distribution, we evaluate its intervals using numerical line-search methods to compute the PL. We experimentally validate our approach using real-world data and demonstrate that the PLs computed from our method are reliable upper bounds on the position error in urban environments.
Ion-Selective Electrode Potentiometry in Environmental Analysis

This review will illustrate how it is possible to develop ion-selective electrode (ISE) methodologies that meet the stringent requirements (i.e., high selectivities and very low detection limits) for the analysis of important analytes in the environment, and will present a variety of examples on the application of ISEs in environmental analysis. Despite the experimental biases that have limited the analytical performance of ISEs through apparently high detection limits and modest selectivities, there has been a plethora of research in the application of ISEs in the monitoring of environmentally important trace metals and anions in natural waters and soils. Most popular has been the analysis of free metals in natural waters, as this parameter is known to be a master variable in the uptake and toxicology of trace metals on aquatic biota reflecting the bioavailability of trace metals in the environment. Furthermore, as copper is a major trace metal in coastal waters due to its extensive use in antifouling paints on sea vessels and structures, there are many reports in the literature on the use of the copper ISE in assays of either free copper or the copper complexing capacity of natural waters and soil peats. Moreover, there have been a variety of studies showing a strong correlation between free copper levels and the toxicity of copper on a variety of marine and fresh water organisms. Nevertheless, there are numerous reports in the literature that have used ISEs to monitor important anions such as fluoride, phosphate, sulfate, nitrate, nitrite, chloride, cyanide, etc., as well as other important cations such as ammonium and chromium(VI) in waste and natural waters. In conclusion, this review will present new and interesting perspectives on the application of ISEs in environmental analysis using approaches such as real-time remote monitoring of water quality, shipboard monitoring of environmentally important analytes using flow analysis instrumentation, the use of robust all-solid-state ISEs in submersible instruments for long-term deployment in the field, and innovative analytical approaches such as backside calibration and switchtrodes that avoid standard addition analysis and the concomitant perturbation in analyte speciation in natural samples.
Photochemistry of sensitizing dyes: spectroscopic and redox properties of cresyl violet

The photosensitizing properties of cresyl violet have been investigated by characterizing singlet and triplet excited states and the reduced and oxidized forms of the dye by picosecond and nanosecond laser flash photolysis. The dye readily forms a charge-transfer complex with amines with complexation constants in the range of 49-3,350 M{sup {minus}1} in methanol. The dye in its singlet and triplet excited states has lifetimes of 2.46 ns and 68 {mu}s, respectively, in acetonitrile. The excited triplet is quenched by ground-state dye molecules with a bimolecular rate constant of 1.45 {times} 10{sup 9} M{sup {minus}1} s{sup {minus}1}. The semioxidized radical of the dye has been generated by oxidation of CV{sup +} with pulse radiolytically generated azide radicals (k = 1.6 {times} 10{sup 10} M{sup {minus}1} s{sup {minus}1}) in aqueous medium. The semireduced dye has been generated by quenching of triplet dye with triphenylamine (k = 1.4 {times} 10{sup 9} M{sup {minus}1} s{sup {minus}1}) in methanol. Photoelectrochemical reduction of cresyl violet in colloidal TiO{sub 2} suspension has also been carried out, with a quantum yield of 0.013.
Incidence and genetic diversity of cucurbit viruses in Spain

This study was partially supported by the Spanish Ministerio de Ciencia, Innovacion y Universidades grants AGL2017-85563-C2 (1-R and 2-R) and RTA2017-00061-C03-03 (INIA) cofounded with FEDER funds, and by the PROMETEO project 2017/078 (to promote excellence groups) by the Conselleria d'Educacio , Investigacio , Cultura i Esports (Generalitat Valenciana). C. Saez is a recipient of a predoctoral fellowship (ACIF/2016/188) from Generalitat Valenciana, cofunded by the Operational Program of the European Social Fund (FSECV 2014-2020).
The Co-innovation Bingo: An Object-Oriented Networking Mechanism to innovate in Open Innovation Services

In this paper, we describe a business networking tool aiming at fostering collaborative innovation emergence between actors. This tool is designed as a game to encourage participants to share and meet as many partners as possible in a given time. This artefact is based on previous research aiming at identifying collaborative innovation mechanisms and getting inspiration from different fields such as organization design, service design and prospective. The proposed artifact comes as a set of prescriptive rules (Van Aken, 2005) that support managers' co-innovation opportunity elicitation. In preliminary test, 30 exchanges emerged among 20 participants, who did not know each other beforehand. Our contribution is twofold: from a practical point of view, we contribute to help companies to find emergent co-innovation opportunities; and from a theoretical point of view, this artefact is part of our emergent theory of object-oriented co-innovation mechanisms. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Double Weighted Commutators Theorem for Pseudo-Differential Operators with Smooth Symbols

Let − ( n + 1) < m ⩽ − ( n + 1) (1 − ϱ ) and let $${T_a} \in {\cal L}_{ϱ}^m,\delta $$ T a ∈ ℒ ϱ m , δ be pseudo-differential operators with symbols a ( x, ξ ) ∈ ℝ n × ℝ n , where 0 < ϱ ⩽ 1,0 ⩽ δ < 1 and δ ⩽ ϱ . Let μ, λ be weights in Muckenhoupt classes A p , ν = ( μλ −1 ) 1/ p for some 1 < p < ∞. We establish a two-weight inequality for commutators generated by pseudo-differential operators T a with weighted BMO functions b ∈ BMO ν , namely, the commutator [ b, T a ] is bounded from L p ( μ ) into L p ( λ ). Furthermore, the range of m can be extended to the whole m ⩽ − ( n + 1)(1 − ϱ ).
Chemical characterization of rosewood (Aniba rosaeodora Ducke) leaf essential oil by comprehensive two-dimensional gas chromatography coupled with quadrupole mass spectrometry

The Amazonian tree Aniba rosaeodora Ducke, whose wood provides commercial essential oil for perfumery houses, is at risk of extinction and listed by CITES. An alternative source of this oil would be to trim leaves of young plants and steam distill them to obtain the essential oil. Four-year-old plant material could provide an oil that can both be an economical source and eventually a replacement for wood oil in perfumery. A characterization of the essential oil from these leaves has been obtained by comprehensive two-dimensional gas chromatography. The two-dimensional analytical technique was able to separate and identify about three times more compounds than is the case with conventional gas chromatography, leading to a more complete essential oil chemical characterization.
Small-angle neutron-scattering studies of silica sols in water at high temperatures

The temperature dependence of the interparticle interactions in a silica sol have been investigated in the range 298–533 K by small-angle neutron scattering. By applying the rescaled mean spherical approximation (MSA), due to Hansen and Hayter, closed analytic solutions of the structure factor, S(Q), for a screened coulombic potential have been fitted to experimental scattering data to obtain the effective surface charge and potential of the silica particles. As the temperature is increased, marked reductions in the interaction potential are observed, which are partially restored on cooling. These effects are ascribed to the considerable changes in the dielectric properties and ionic dissociation of water that occur at these elevated temperatures.
Confirming the presence of two brown algae Stoechospermum polypodioides and Spatoglossum crassum as new record of Dictyotaceae in the Persian Gulf based on molecular and morphological analysis

All Spatoglossum and Stoechospermum species in Persian Gulf and Oman Sea, Iran, have been so far identified via classical taxonomy. In this study classification of two genus of brown algae (Dictyotaceae) including Spatoglossum and Stoechospermum have been investigated. We combined the cytoplasmic DNA sequences data of plastid rbcL and psbA with morphological information. Based on the constructed phylogenetic trees on the sequences data of these two genes the collected specimens from the Iranian coastlines made two distinct clades which were grouped with two species Stoechospermum polypodioides and Spatoglossum crassum with high to full bootstrap values. So we approved the presence of Stoechospermum polypodioides and Spatoglossum crassum as new record for the algal flora of Persian Gulf in Iranian coastlines.
Structural characterization of pseudo-binary semiconducting alloys using molecular simulations

Monte Carlo simulations with the Keating model have been performed to predict the lattice constant and bond length variations with composition for pseudo-binary semiconducting alloys. In general, it is observed that the deviations of the lattice constants from Vegard's law predictions are larger as the lattice mismatch between the constituent binaries increases. Further, it is noted that these alloys have partial virtual crystal model characteristics and tend to be more towards the flexible (floppy) crystal limit as compared to the rigid crystal limit. The topological rigidity parameters are bond-type dependent. The angular deviations from perfect tetrahedral structure are also measured.
Whole-body vibration training versus conventional balance training in patients with severe COPD – a randomized, controlled trial

Background: Whole-body vibration training (WBVT) performed on a vibration platform can significantly improve physical performance in COPD patients. It has been suggested that an important mechanism of this improvement is based on an improvement in balance. Aim of this study was to investigate the effects of WBVT versus conventional balance training on exercise performance. Methods: 48 patients with severe COPD (FEV1: 37±7 %pred.) and low exercise performance (6-minute walk distance (6MWD): 55±10 %pred. ) were included in a randomized controlled trial during a 3-week inpatient pulmonary rehabilitation. All patients completed a standardized endurance and strength training program. Additionally, patients performed 4 different balance exercises 3x/week for 2x1 minute each either on a vibration platform (Galileo) at varying frequencies (5 - 26 Hz) (WBVT) or on a conventional therapy tool inducing an instable surface (CON). Results: 6MWD improved significantly in both groups (WBVT: 48±46m, p Conclusion: WBVT can improve balance and muscular performance significantly more compared to conventional balance training.
Contaminants in Muscle of Plaice and Halibut Collected From the St. Lawrence Estuary and Northwest Atlantic

Abstract Levels of aromatic hydrocarbons in muscle or plaice and halibut were determined by fluorescence, using the chrysene standard, as recommended by the International Oceanographic Commision, for the analysis of PAH in environmental extracts. Concentrations were highest in muscle of halibut collected at the most contaminated, nearshore site, in the Saguenay Fjord of the St. Lawrence Estuary, compared to other locations further from shore. Although concentrations of fluorescing compounds were not statistically different in plaice, the saturated hydrocarbons displayed unquestionably more biodegradation, with a decrease of n-alkanes and increase of branched aliphatics, at the less contaminated site. Synchronous fluorescence indicated the presence of benzenoid and biphenyl hydrocarbons in the extracted mixtures, while GC-MS-TIC analysis tentatively identified the presence of a series of benzenoid (alkyl benzenes), chlorinated (PCB and DDE), N (trialkylamines) and O (phenols) hydrocarbons. These anthropoge.
Smectic Polymorphism and Molecular Shape-the Orthogonal Phases

Abstract A method has been developed that can be used to describe the volume of space occupied by a given molecule with a known conformational structure as it rotates about a defined axis. The packing requirements of these volumes of revolution have been utilized in the prediction of phase formation, particularly of the B and E phases. Conculusions indicate that the subtle balance balance between steric and dipolar properties of a mesogen determine the pahse types ultimetely exhibited by the material.
Parameters optimization of the Structural Similarity Index

We exploit evolutionary computation to optimize the handcrafted Structural Similarity method (SSIM) through a datadriven approach. We estimate the best combination of luminance, contrast and structure components, as well as the sliding window size used for processing, with the objective of optimizing the similarity correlation with human-expressed mean opinion score on a standard dataset. We experimentally observe that better results can be obtained by penalizing the overall similarity only for very low levels of luminance similarity. Finally, we report a comparison of SSIM with the optimized parameters against other metrics for full reference quality assessment, showing superior performance on a different dataset.
Research on Speech Enhancement Based on Deep Neural Network

The traditional single-channel speech enhancement algorithm has many unreasonable assumptions, which limit the performance of the algorithm. The speech enhancement based on deep neural network can effectively eliminate the problems such as “music noise” in the traditional methods, thus achieving better results than the traditional single-channel speech enhancement. However, the DNN-based speech enhancement model does not perform well at low SNR. In order to improve the robustness of the model, we used voice activity detection (VAD) to process the training data to obtain a new VAD-DNN speech enhancement model. We added 100 kinds of noise in the training set to improve the ability of the model to deal with the unseen noise. At the same time, in order to prevent the occurrence of overfitting problem, we introduced dropout technology to process the network, and improved the generalization ability of the model by using noise awareness training (NAT). Through experiments, we found that the speech enhancement model based on VAD-DNN improved PESQ index by 0.02 and STOI index by 0.01 on average under the condition of low SNR.
Self pulsing due to backward second-harmonic generation in engineered PPLN: the role of the induced cubic nonlinearity

We study the effects of the induced third-order nonlinearity on backward second-harmonic generation in Penodically Poled Lithium Niobate (PPLN). We show that self-phase and cross-phase modulation terms induced by a proper engineering of the domain length can compete with intrinsic quadratic nonlinearity enriching the dynamics of the system. In particular it allows for self oscillation even with vanishing second-harmonic input.