Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of speaker recognition system based on Feed Forward deep neural networks exploring text-dependent mode

We aim by this work to follow the significant progress in speaker recognition systems getting the benefits of the advancement in the artificial intelligence (AI). Indeed, the deep learning algorithms have proved a real performance in the recognition and classification data. In this contest, we present a study of three different speaker recognition system based in Feed Forward neural networks. The first one is the logic regression, the second one is the Multilayer Perceptron (MLP) and the third one is the Stacked Denoising Autoencodeurs (SDA). We evaluated these recognition rates using the parameterization technique Mel Frequency Cepstral Coefficients (MFCC). To find the best results and to better optimize automatic recognition algorithms, we tested our speaker recognition system under the text-dependent database RSR2015. We studied the recognition rates by varying the values of neural networks parameters, number of neurons and number of hidden layers…etc. We discussed the different results obtained and we selected best parameter values which lead the minimum rate error of recognition.
A nonlinear enhanced microresonator gyroscope

It has been theoretically predicted in the 1980s that an optical ring resonator with Kerr nonlinearity that is pumped equally in both directions exhibits spontaneous symmetry breaking [I], in which light of a given frequency can only propagate in one direction. Just outside of the symmetry-broken regime the system exhibits enhanced sensitivity to rotation [2]. The symmetry breaking was realized for the first time earlier this year in high-Q optical microresonators [3], while microresonator gyroscopes in the linear regime have been recently demonstrated [4].
Coherence beamforming and its applications to the difficult-to-image patient

Poor quality ultrasound images and inadequate or suboptimal visualization of imaging targets is a common problem in individuals that are overweight or obese. The overweight and obese population in the United States has reached staggering proportions, with nearly 2 out of every 3 individuals overweight or obese. Despite advances in ultrasound imaging technology, techniques for these difficult-to-image patients are lacking. Acoustic reverberation is a common factor in these individuals and is a significant contributor to the poor image quality. Specifically, diffuse acoustic reverberation is problematic because it appears similar to common tissue texture in ultrasound images, thereby exacerbating the inadequate and suboptimal visualization.
Analysis of mixed inverter/rectifier multi-infeed HVDC systems

Abstract form only given. This paper investigates interconverter interactions in multi-infeed systems that include both rectifiers and inverters. Performance indices used earlier for multi-inverter systems are extended to include the rectifier-inverter mix. These indices can be used to predict the maximum available power (MAP) and power stability limits of the converters as well as transient phenomena, such as transient overvoltages (TOV) and inverter commutation failures (CF ). The results show that the presence of a rectifier in the neighborhood of inverters is effectively similar to an increase in the inverters' short-circuit ratio in that the inverters achieve a higher MAP, are less susceptible to commutation failure, and have smaller TOV.
A combination millimeter-wave Doppler radar and THz spectrometer for planetary science

A combination 95 GHz radar and 270/560 GHz spectrometer is being built as a space instrument prototype for probing plumes and jet phenomena in the solar system. Dubbed GAISR (Gas And Ice Spectrometer/Radar), the instrument's radar will make simultaneous range/Doppler measurements of 0.1–10 mm sized ice and dust particles out to a few km in range, while its tunable spectrometer will detect the abundance and velocities of gaseous water and other volatiles. Here we describe how the radar and spectrometer share a back-end architecture, and present some innovative elements of GAISR's frequency-modulated continuous-wave (FMCW) radar, including high-isolation and low-loss transmit/receive duplexing and a phase-noise-canceling RF architecture.
THE EFFECT OF PERSONAL TENURE ON EARNINGS SURPRISE MANAGEMENT

Abstract The purpose of this study is to investigate the effect of personal tenure between Audit Partner and Client CEO on firm’s likelihood to do upward earning s management . Using non financial firms listed on Indonesia Stock Exchange period 2012 – 2014 , this study finds that personal tenure between Audit Partner and Client CEO have significant positive influence on firms’ likelihood to do upward earning s management and downward forecast guidance . The results of this study indicate that personal tenure positively influences both mechanisms of avoiding negative earnings surprises . Furthermore, since the company's resources in doing both mechanisms are often limited, this study also examines the impact of personal tenure on firm’s choices between the two mechanisms, by testing whether companies choose to do downward forecast guidance, but not upward earnings management or using upward earnings management but not downward forecast guidance. The results show that personal tenure positively associated with the likelihood of firms doing downward forecast guidance without upward earnings management . The result indicates that lower independency of the audit partner due to longer tenure between Audit Partner and Client CEO encourage management to do earnings management by avoiding negative earnings surprise . Keywords: Audit Tenure, Personal Tenure, Earnings Surprise Management Abstrak Tujuan dari penelitian ini adalah untuk meneliti pengaruh personal tenure antara Audit Partner dan Client CEO terhadap kemungkinan perusahaan untuk melakukan upward earning s management . Penelitian ini mengambil sampel perusahaan non keuangan yang terdaftar di Bursa Efek Indonesia periode 2012 - 2014, dan menemukan bahwa personal tenure antara Audit Partner dan Client CEO memiliki pengaruh positif yang signifikan terhadap kemungkinan perusahaan untuk melakukan upward earning s management dan downward forecast guidance . Hasil penelitian ini menunjukkan bahwa personal tenure berpengaruh positif terhadap kedua mekanisme untuk menghindari kejutan laba negative ( negative earnings surprises) . Selain itu, karena sumber daya perusahaan dalam melakukan kedua mekanisme sering terbatas, penelitian ini juga menguji dampak personal tenure terhadap pilihan perusahaan antara dua mekanisme, dengan menguji apakah perusahaan memilih untuk melakukan downward forecast guidance , tetapi tidak melakukan upward earnings management atau menggunakan upward earnings management tetapi tidak menggunakan downward forecast guidance . Hasil penelitian menunjukkan bahwa personal tenure berhubungan positif dengan kecenderungan perusahaan melakukan downward forecast guidance tanpa upward earnings management . Hasil penelitian menunjukkan bahwa semakin rendah independensi audit partnet yang disebabkan masa kerja yang lama antara Audit Partner dan Client CEO mendorong manajemen untuk melakukan manajemen laba dengan menghindari kejutan pendapatan negatif. Kata kunci: Masa kerja Audit, Masa kerja personal , Manajemen Kejutan Laba
Real-time investigation of irreversible cell membrane damage induced by acoustic droplet vaporization

Acoustic droplet vaporization (ADV) has shown a great potential in extravascular tumor-targeting theranostics. During ADV, its mechanical effects on the nearby cells could cause cell dysfunction with irreversible cell membrane damage or facilitate drug delivery by sonoporation. Understanding the real-time characteristics and bio-effects of ADV on cells is significant to develop the approach in vivo and then in clinic.
Application of field surveys and multitemporal in-SAR interferometry analysis in the recognition of deep-seated gravitational slope deformation of an urban area of Southern Italy

Abstract The analysis of 4 year In-SAR Interferometry images and a detailed geomorphological survey have been carried out to detect a large Deep-Seated Gravitational Slopes (DSGSD) affecting the urban area of the Episcopia village, in Southern Italy. The DSGSD largely develops within phyllites of the Liguride Units and, in the upper slope, within Pleistocene sand and conglomerate deposits of the Sant’Arcangelo Basin. Field survey has shown trenches at the top and an evident bulge at the base of the DSGSD, corresponding to the Talweg of the Sinni River. Geological and geomorphological field surveys allowed us to hypothesize a listric geometry of the DSGSD subsurface plane reaching about 700 m of depth. Furthermore, the multi-temporal In-SAR Interferometry analysis collected from November 2014 to May 2017 revealed that a ground deformation of ±30 mm was occurred, and the process is still active in the whole area.
GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing

Clusters, Grids, and peer‐to‐peer (P2P) networks have emerged as popular paradigms for next generation parallel and distributed computing. They enable aggregation of distributed resources for solving large‐scale problems in science, engineering, and commerce. In Grid and P2P computing environments, the resources are usually geographically distributed in multiple administrative domains, managed and owned by different organizations with different policies, and interconnected by wide‐area networks or the Internet. This introduces a number of resource management and application scheduling challenges in the domain of security, resource and policy heterogeneity, fault tolerance, continuously changing resource conditions, and politics. The resource management and scheduling systems for Grid computing need to manage resources and application execution depending on either resource consumers' or owners' requirements, and continuously adapt to changes in resource availability.
Antioxidant Activities, Phenolic Contents and Electronic Nose Analysis of Black Garlic

Black garlic is a processed garlic product with a moisture-controlled high temperature heat treatment for a long time. In order to determine the secondary metabolites of black garlics treated in the study, firstly, in vitro antioxidant activities of black garlics purchased from Edovital company, Kastamonu, Turkey were determined, followed by qualitative and quantitative measurement of the phenolic compound content by HPLC and finally the electronic nose analysis of the content of nebulizer vapors in wood vinegar extract of black garlics were done successfully. Chlorogenic acid, vanillic acid, benzoic acid, gallic acid contents in detected 13 phenolic acids were quitely high. All quantitative results were expressed as mg gallic acid equivalent (GAE) per g dry matter of black garlic sample. ABTS and DPPH antioxidant activities were very low according to BHT standart and 2-Methylene-4-pentenal (18%) and Furfural (25%) were detected in high amount with electronic nose in nebulvapor contents of black garlic wood vinegar extract.
Adaptive identification and control of linear periodic systems using second‐level adaptation

At the present time, there is a great deal of interest in the adaptive control of systems with rapidly varying parameters. Such problems arise in different forms and in many disciplines including finance, sociology, biology, and engineering. In general, these problems are intractable mathematically and the time variations have to be classified in some form to obtain rigorous results. In this paper, we consider the adaptive identification and control of linear systems with periodically varying parameters (referred to as linear time‐varying periodic (LTP) systems). The class of systems with known periodic parameters has been investigated widely since the pioneering work of Floquet and lends itself to rigorous mathematical analysis. However, very little was known until the early years of the last decade concerning the adaptive control of such systems. The problem was introduced by Xu and explored in detail by Narendra and Zhiling in 2006 and 2009, respectively. In 2012, a new method was introduced in adaptive control by Han and Narendra and is referred to as second‐level adaptation. In this paper, the adaptive identification and control of LTP systems using second‐level adaptation is discussed.
Benefits of Pseudomonas poae s61 on Astragalus mongholicus growth and bioactive compound accumulation under drought stress

ABSTRACT The aim of this study was to explore the beneficial effects of endophytic Pseudomonas poae strain S61 on medicinal plant Astragalus mongholicus. Growth and production of indoleacetic acid (IAA) of the strain was firstly characterized under stress conditions, demonstrating that the strain performance was more robust in the medium containing 20% PEG6000. Beneficial effects of the strain on host seedlings were then investigated by pouring 20% PEG6000 for 3 weeks to mimic drought stress. Among growth parameters, root biomass and root-shoot ratio were significantly enhanced by the combination of 20% PEG6000 with the strain inoculation while the individual trial had no effect. The combination trial also increased calycosin-7-O-glucoside and ononin accumulations in the roots, suggesting that the strain executed beneficial effects on A. mongholicus only when it grew under drought stress. Using MDA as lipid peroxidation parameter, our result indicated that leaf lipid peroxidation should be involved in the process.
Preliminary Phytochemicals and Pharmacologic Activities Assessment of White and Pink Nelumbo nucifera Gaertn. Flowers

The phytochemicals of the ethanolic extracts of petals and stamens of lotus flowers from several lotus cultivars belonging to the Nelumbo nucifera Gaertn. (namely 'lotus white flower' and 'lotus pink flower') were studied by color reaction test and HPTLC analysis. The lotus pink flower stamens showed a highest amount of ethanolic extractives (ca. 18.33±2.14% of dry material weight). The several the ethanolic extracts of N. nucifera petals and stamens showed similar qualitative phytochemicals. The crude extracts revealed the presence of flavonoids, terpenoinds, tannins and polyphenols. The antioxidant activity was assessed using the 2,2-diphenyl-1-picrylhydrazyl assay. The analyzed lotus pink flower stamens ethanolic extract showed a highest antioxidant activity at IC50 = 0.61±0.16 μg/ml and lotus pink flower petals ethanolic extract showed a highest tyrosinase inhibitory effect at IC50 = 2.25±0.21 μg/ml. N. nucifera flowers could be provide a potential natural source of phytochemicals and could be beneficial to the cosmetic properties.
Object classification integrating results of each scan line with low‐resolution LIDAR

To recognize objects by using low‐resolution LIDAR for autonomous cars, we proposed a method to calculate the independent results for each scan line before integrating them. In the proposed method, objects can be recognized in one learned model even if the number of scan line irradiated to objects is different. This brings an advantage of saving time for preparing some models and learning data. We tried to classify pedestrians, bicycles, motorbikes, cars, and other objects for evaluating the performance, and obtained an accuracy of 99.00%. In addition, we compared the proposed method with a fully connected neural network method and 2DCNN method, and showed the proposed method is more robust against the missing of scan lines. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Using a Microfluidics System to Reproducibly Synthesize Protein Nanoparticles: Factors Contributing to Size, Homogeneity, and Stability

The synthesis of Zein nanoparticles (NPs) using conventional methods, such as emulsion solvent diffusion and emulsion solvent evaporation, is often unreliable in replicating particle size and polydispersity between batch-to-batch syntheses. We have systematically examined the parameters for reproducibly synthesizing Zein NPs using a Y-junction microfluidics chip with staggered herringbone micromixers. Our results indicate that the total flow rate of the fluidics system, relative flow rate of the aqueous and organic phase, concentration of the base material and solvent, and properties of the solvent influence the polydispersity and size of the NPs. Trends such as increasing the total flow rate and relative flow rate lead to a decrease in Zein NP size, while increasing the ethanol and Zein concentration lead to an increase in Zein NP size. The solvent property that was found to impact the size of the Zein NPs formed the most was their hydropathy. Solvents that had a hydropathy index most similar to that of Zein formed the smallest Zein NPs. Synthesis consistency was confirmed within and between sample batches. Stabilizing agents, such as sodium caseinate, Tween 80, and Pluronic F-68, were incorporated using the microfluidics system, necessary for in vitro and in vivo use, into Zein-based NPs.
RF Based Talking Signage for Blind Navigation

The major challenge of visually impaired person is in mobility, object identification and identification of space around him/her. The proposed RF Based Talking Signage for Blind Navigation aims to provide a universal electronic travel guide for the visually challenged people. This system incorporates a user friendly and versatile method called “Talking Signage” that is implemented using android devices. The system uses an Android application in the mobile phone which could deliver voice messages about the user environment via a heterogeneous network. It can be deployed in any dense environment so that blind persons can fulfill their needs. The primary advantage of the system compared to other system in the area is low cost, ease of transport, less power consumption, lightweight, and it could be utilized by those peoples who are technically challenged. The architecture proposed in this paper clearly shows communication between a mobile phone and a heterogeneous network enabled with RF devices. We have implemented the system in our university environment and the proposed system found to be a great success.
Maternity homes and social support: A cross-sectional survey stratifying outcomes

Abstract Poor social support is associated with adverse obstetric outcomes. Maternity group homes (MGHs), residential programs for pregnant women, have been found to improve social support in small studies. The present study aimed to verify these previous studies, discover whether there is a group of women whom MGHs most benefit, identify what services offer that benefit, and identify how to predict who will most benefit from MGH admission. Forty-three US MGHs from 14 states were surveyed from August 2015 to February 2017. The primary outcome was self-reported social support before and during MGH admission. The secondary outcome was the perception that MGH admission would help current and future relationships. Among 95 respondents, 54% perceived better in-MGH support compared to pre-MGH support. Women with poor pre-MGH support reported improvement; the converse was true of high pre-MGH support (P < 0.001). A total of 77% to 82% of participants anticipated that MGH admission would help current and future relationships, including 91% to 92% of women with stable or increased in-MGH support (P = 0.07 current, P < 0.01 future). Participants with increased in-MGH support reported more services as helpful (P < 0.05). In summary, MGHs are associated with improved support and relationships for most residents. The support score may identify which women may benefit most from MGH admission.
Professional Development of Teachers for Assessment for Learning

This phenomenological study explores the perceptions of a group of seven teachers within a Maltese post-secondary college as they engaged with a bespoke professional development programme on Assessment for Learning strategies. Assessment for Learning has long been established in policy but, while the positive impact this could have on learning is strongly supported in literature, its implementation within Maltese educational institutions may not be as extensive as the policy would anticipate. The study focused on the way participants negotiated with their own conceptions as they were exposed to learning strategies from alternative perspectives. The study explores the teachers’ challenges, understandings and attitudes when implementing Assessment for Learning practices within their particular learning community, and the extent to which a professional development programme on Assessment for Learning strategies helped them address their challenges, improve understandings and change attitudes. The study used semi-structured initial interviews, prior to nine bespoke group sessions on particular Assessment for Learning strategies, followed by second set of participant interviews to evaluate impact on participants’ conceptions. Eight main themes emerged from the study: Assessment for Learning: making connections; rubrics as a learning tool; drafting and redrafting; exemplars as a learning tool; learning intentions: for learning or for teaching? ; assessment for student learning; assessment for teacher learning; professional development for Assessment for Learning. This study exposed the importance which the participants attribute to positive relationships and the value of fairness when providing feedback to students. Teachers’ conceptions on the need for clarity when assessing tasks were revealed, especially in the context of a clear preference for verbal over written feedback and the use of rubrics as an assessment tool. Another key finding reflected the participants’ outlook on providing students with an opportunity to resubmit previously assessed work, before its final evaluation. Other emergent themes were related to the importance of clarifying the learning journey through the use of exemplars and learning intentions, as well as other factors which contribute to the effectiveness of assessment as a learning tool. The final two themes were related to the empowerment of teachers as leaders of their own learning and to factors related to the design of professional development programmes on Assessment for Learning. This study affirms the importance of developing an awareness of the participating teachers' mindset and preconceived ideas. Moreover, identifying the roots of such positions is critical, especially at the early stage of planning professional development programmes.
Identification and Characterization of an Indigenous Hydrocarbonoclastic Bacterial Strain Stenotrophomonas maltophilia newly Isolated from Seawater and Marine Sediments of Oran Harbor Northwestern Algeria

Microorganisms have an important role in the bioremediation of petroleum contaminants that cause great concern about their persistent toxicity, carcinogenicity and difficult elimination. In this study, crude oil-degrading bacterial strain SP54N was isolated from the contaminated marine sediments and seawater at the harbor of Oran, Northwestern Algeria, using Bushnell-Hass salt medium. This strain could support high concentrations of crude oil (up to 10% v/v), and was identified as Stenotrophomonas maltophilia by sequencing and analyzing the 16s rDNA with the BLAST program on the NCBI website. The effects of pH, temperature and salinity on rate growth of strain SP54N, in BHSM medium supplemented with 2% (v/v) of crude oil as sole carbon and energy source, were studied. The results show that maximum growth rate was obtained at pH 7, temperature 25°C and 3% (w/v) of salinity, at 140 rpm. Moreover, Stenotrophomonas maltophilia could effectively utilize crude oil as its sole carbon and energy source. Therefore, Stenotrophomonas maltophilia SP54N can be used as an excellent degrader to develop one eco-friendly and cost-effective method for the bioremediation of harbor of Oran, as indigenous bacteria, and marine environments polluted by oil and petroleum hydrocarbons, and could be useful for biotechnological applications.