Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep neural network based phonological feature extraction for Bengali continuous speech

Automatic Speech Attribute Transcription framework is a recently proposed paradigm for detection based bottom-up speech recognition. Speech signal contains a large set of related information, known as speech attributes that include a set of fundamental speech sound with their linguistic identification that is phonological features. In this study, a bank of Deep Neural Network based attribute detectors has been applied to Bengali continuous speech corpus to detect phonological features of Bengali language. 89.17% of average attribute detection accuracy was achieved for Bengali continuous speech. This experiment was repeated using TIMIT speech corpus to ensure the system robustness, and the average detection accuracy was 89.40%.
Determining the level of physical activity estimated by the Canada Fitness Survey questionnaire using criteria of the International Physical Activity Questionnaire

Summary Study aim: The aim of the study was to determine the weekly energy expenditure measuring MET/min/week based on data collected through the Canada Fitness Survey (CFS), according to the classification used in the International Physical Activity Questionnaire (IPAQ), and to verify the adopted method to assess the level of physical activity in students of physical education. Material and methods: The study involved 116 female students (21.1 ± 1.6) and 276 male students (21.2 ± 1.7), studying Physical Education at Kazimierz Wielki University. Physical activity (PA) of respondents assessed using the Canada Fitness Survey was converted to energy expenditure in MET/min/week using the criteria established in the IPAQ. Body composition was assessed according to bioelectrical impedance. Results: A significantly smaller fat fraction was observed in the group of students with high physical activity (PA) (p < 0.01). In women, there was a significant relation between FAT% and all analysed characteristics of physical activity: total physical activity (TPA) – 0.274, vigorous intensity (VI) – 0.216, number of days spent on physical activity (DTPA) – 0.199 and number of days spent on vigorous intensity (DVI) – 0.202 (p < 0.05). In men, a significant relation was found between all the analysed tissue components and the adopted variables of PA (FAT% vs. TPA – 0.145, VI – 0.203, DTPA – 0.187; FATkg vs. TPA – 0.123, VI – 0.186, DTPA – 0.178; FATkg vs. DVI – 0.131). BMI significantly correlated with VI (–0.162) and DVI (–0.140), p < 0.05. Conclusions: Based on data collected using the CFS on the type and frequency of PA during a week, we can determine the level of activity in a measurable way, using the IPAQ classification. There is a significant relationship between thus determined physical activity levels and body composition in both women and men, which proves the accuracy of the adopted method of converting weekly energy expenditure to MET/min/week.
Research on Localization Algorithm of Mobile Nodes in Wireless Sensor Networks

The localization and tracking of mobile nodes is a study focus in the application of wireless sensor networks. This paper makes a research on localization of mobile nodes in wireless sensor network and proposes a kind of mobile nodes localization algorithm based on ant colony algorithm. The novel algorithm uses distribution probability and transition probability of ant colony algorithm from one node to the other to calculate the weight coefficients of samples, and then determine the possible locations of mobile nodes. The simulation results show that using probability selection strategy to estimate the locations of nodes has lower computational complexity, higher positioning accuracy and stronger robustness. Keywords-wireless sensor networks; mobile nodes; nodes localization; ant colony algorithm.
A System for View‐Dependent Animation

In this paper, we present a novel system for facilitating the creation of stylized view‐dependent 3D animation. Our system harnesses the skill and intuition of a traditionally trained animator by providing a convivial sketch based 2D to 3D interface. A base mesh model of the character can be modified to match closely to an input sketch, with minimal user interaction. To do this, we recover the best camera from the intended view direction in the sketch using robust computer vision techniques. This aligns the mesh model with the sketch. We then deform the 3D character in two stages ‐ first we reconstruct the best matching skeletal pose from the sketch and then we deform the mesh geometry. We introduce techniques to incorporate deformations in the view‐dependent setting. This allows us to set up view‐dependent models for animation.
THE EULER-KRONECKER INVARIANTS IN VARIOUS FAMILIES OF GLOBAL FIELDS by

— The invariant in the title is, essentially, the constant term in the Laurent expansion at s = 1 of the corresponding Dedekind zeta function. We shall give (i) algebraic treatments of the invariants in the function field case, and (ii) numerical data for various families of number fields, with discussions on some striking phenomena. Résumé (L’invariants d’Euler-Kronecker dans des corps globaux de différentes familles) L’invariant du titre est, essentiellement, le terme constant dans le développement de Laurent en s = 1 de la fonction zêta correspondante de Dedekind. Nous donnerons (i) des traitements algébriques des invariants dans le cas des corps de fonctions, et (ii) des données numériques pour différentes familles de corps de nombres, avec une discussion sur quelques phénomènes intéressants. Introduction Let K be a global field, i.e., either an algebraic number field of finite degree (abbreviated NF), or an algebraic function field of one variable over a finite field (abbreviated FF). Let ζK(s) be the Dedekind zeta function of K. As in our previous article [4], we denote by γK (∈ R) the quotient, the constant term divided by the residue, in the Laurent expansion of ζK(s) at s = 1. In other words, (0.0.1) γK = lim s→1 Å ζ ′ K(s) ζK(s) + 1 s− 1 ã . We consider γK as an invariant of K, and for various families K of global fields, shall study the behaviour of the distribution of values of γK for K ∈ K. As for the main motivation of this study, some basic results, and for connections with other arithmetic problems, see [4]. Here, we only recall that the value of γK becomes “very negative” when K has many primes with small norms (e.g. has many 2000 Mathematics Subject Classification. — Primary 11R42, Secondary 11R47, 11R58.
Linear Modeling of mRNA Expression Levels During CNS Development and Injury

Large-scale gene expression data sets are revolutionizing the field of functional genomics. However, few data analysis techniques fully exploit this entirely new class of data. We present a linear modeling approach that allows one to infer interactions between all the genes included in the data set. The resulting model can be used to generate interesting hypotheses to direct further experiments.
Issues in Informing Science and Information Technology Multi-criteria Spatial Analysis of Building Layouts

This paper proposes a multi-criteria based approach for the analysis of building layouts, from space quality and cost related perspectives. A computational prototype is developed to analyse a building layout from various accessibility related measures in order to evaluate the quality of the building special layout. A case study is used to demonstrate the assessment of a building layout based on a range of criteria.
Mixed Reality Applied to the Teleoperation of a 7-DOF Manipulator in Rescue Missions

The need for complementing robot's autonomy behaviour with human reasoning has made robot teleoperation a research topic for more than fifty years. And while most of the research work usually deploys a master-slave architecture for controlling robots (whether using a joystick and/or desktop computer), recently Mixed Reality has come into play. This is because it is able to improve the teleoperator's view with less bandwidth consumption than traditional teleoperation architectures. In this paper a new approach for teleoperating a manipulator is presented. The virtual representation of the manipulator is made by using encoder sensors, and also, a camera image is displayed through an Android interface to complement the teleoperator's view. We can show with our results that the real positions of the manipulator and the virtual model are closed to be the same with some differences due to the transmission time delay which is minimum.
Metabolic Engineering of Bacillus subtilis for Ethanol Production: Lactate Dehydrogenase Plays a Key Role in Fermentative Metabolism

ABSTRACT Wild-type Bacillus subtilis ferments 20 g/liter glucose in 48 h, producing lactate and butanediol, but not ethanol or acetate. To construct an ethanologenic B. subtilis strain, homologous recombination was used to disrupt the native lactate dehydrogenase (LDH) gene (ldh) by chromosomal insertion of the Zymomonas mobilis pyruvate decarboxylase gene (pdc) and alcohol dehydrogenase II gene (adhB) under the control of the ldh native promoter. The values of the intracellular PDC and ADHII enzymatic activities of the engineered B. subtilis BS35 strain were similar to those found in an ethanologenic Escherichia coli strain. BS35 produced ethanol and butanediol; however, the cell growth and glucose consumption rates were reduced by 70 and 65%, respectively, in comparison to those in the progenitor strain. To eliminate butanediol production, the acetolactate synthase gene (alsS) was inactivated. In the BS36 strain (BS35 ΔalsS), ethanol production was enhanced, with a high yield (89% of the theoretical); however, the cell growth and glucose consumption rates remained low. Interestingly, kinetic characterization of LDH from B. subtilis showed that it is able to oxidize NADH and NADPH. The expression of the transhydrogenase encoded by udhA from E. coli allowed a partial recovery of the cell growth rate and an early onset of ethanol production. Beyond pyruvate-to-lactate conversion and NADH oxidation, an additional key physiological role of LDH for glucose consumption under fermentative conditions is suggested. Long-term cultivation showed that 8.9 g/liter of ethanol can be obtained using strain BS37 (BS35 ΔalsS udhA+). As far as we know, this is the highest ethanol titer and yield reported with a B. subtilis strain.
Clinical Features of Systemic Lupus Erythematosus Patients Complicated With Evans Syndrome

AbstractThe aim of the study was to investigate the clinical features of systemic lupus erythematous (SLE) complicated with Evans syndrome (ES). We conducted a retrospective case–control study to compare the clinical and laboratory features of age- and gender-matched lupus patients with and without ES in 1:3 ratios.In 5724 hospitalized SLE patients, we identified 27 (0.47%, 22 women and 5 men, average age 34.2 years) SLE patients complicated with ES. Fifteen patients (55.6%) presented with hematologic abnormalities initially, including 6 (22.2%) cases of isolated ITP, 4 (14.8%) cases of isolated AIHA, and 5 (18.5%) cases of classical ES. The median intervals between hematological presentations the diagnosis of SLE was 36 months (range 0–252). ES developed after the SLE diagnosis in 4 patients (14.8%), and concomitantly with SLE diagnosis in 8 patients (29.6%). Systemic involvements are frequently observed in SLE patients with ES, including fever (55.6%), serositis (51.9%), hair loss (40.7%), lupus nephritis (37%), Raynaud phenomenon (33.3%), neuropsychiatric (33.3%) and pulmonary involvement (25.9%), and photosensitivity (25.9%). The incidence of photosensitivity, hypocomplementemia, elevated serum IgG level, and lupus nephritis in patients with ES or without ES was 25.9% vs 6.2% (P = 0.007), 88.9% vs 67.1% (P = 0.029), 48.1% vs 24.4% (P = 0.021), and 37% vs 64.2% (P = 0.013), respectively. Twenty-five (92.6%) patients achieved improvement following treatment of glucocorticoids and immunosuppressants as well as splenectomy, whereas 6 patients experienced the relapse and 1 patient died from renal failure during the follow-up.ES is a relatively rare complication of SLE. Photosensitivity, hypocomplementemia, and elevated serum IgG level were frequently observed in ES patients, but lupus nephritis was less observed. More than half of patients presented with hematological manifestation at onset, and progress to typical lupus over months to years. Therefore, monitoring with antoantibodies profile as well as nonhematological presentations are necessary for patients with ITP and (or) AIHA.
Data integration of cloud-based and relational databases

Today managing data is very critical for all kind of users. Some users use Cloud Database Services for managing their data but at the same time for the security reasons they want to keep some crucial private data at their own end so they face problem like how to integrate both kind of data one located at Local RDBMS and the other at Cloud repositories. In this paper we have analyzed that Hadoop can be used to solve such kind of problems. Hadoop platform is used to integrate data one is located at the Cloud databases and the other located at the Local RDBMS. Hadoop components not only process huge amount of data but with the help of inbuilt security mechanisms one can also securely store their data.
Improving autocorrelation performance of Bernoulli sequence based on APAS theorem

Chaotic sequences have been widely used as pseudorandom sequences. But some well known chaotic sequence has poor autocorrelation performance, such as Bernoulli sequence, and their application are limited. Based on recently presented APAS theorem, we modified Bernoulli map to S-Bernoulli map, and S-Bernoulli sequence has excellent autocorrelation performance and simple structure, whereas its other performances are remained invariant or become better, and can be used more widely.
Hidden diversity of Acoelomorpha revealed through metabarcoding

Animals with bilateral symmetry comprise the majority of the described species within Metazoa. However, the nature of the first bilaterian animal remains unknown. As most recent molecular phylogenies point to Xenacoelomorpha as the sister group to the rest of Bilateria, understanding their biology, ecology and diversity is key to reconstructing the nature of the last common bilaterian ancestor (Urbilateria). To date, sampling efforts have focused mainly on coastal areas, leaving potential gaps in our understanding of the full diversity of xenacoelomorphs. We therefore analysed 18S rDNA metabarcoding data from three marine projects covering benthic and pelagic habitats worldwide. Our results show that acoels have a greater richness in planktonic environments than previously described. Interestingly, we also identified a putative novel clade of acoels in the deep benthos that branches as sister group to the rest of Acoela, thus representing the earliest-branching acoel clade. Our data highlight deep-sea environments as an ideal habitat to sample acoels with key phylogenetic positions, which might be useful for reconstructing the early evolution of Bilateria.
Psychophysical models of masking for coding applications

In this article we apply signal detection theory to qualitatively unify the intensity justnoticable difference (JND) and masking data of Wegel and Lane (1924), Fletcher and Munson (1933 – 1938), Miller (1947), and Egan and Hake (1950). We do this by treating the loudness as the first moment, and the intensity JND as the second moment, of the random variable we call the single-trial loudness. From these definitions we define a loudness signal-to-noise ratio (SNRL), which is the unifying factor. This theory relies heavily on Fletcher and Munson’s 1933 theory of loudness. The purpose of this article is to create a model of masking that may be used for speech and music coding applications.
Institutional Identity and Self-Esteem among African American Males in College.

Social identity theory maintains that one’s self-concept is partially determined by the social groups to which the individual belongs. Using this as a theoretical framework, this study examined the relationship between multiple dimensions of institutional identity and self-esteem in 411 Black male college freshmen. It was hypothesized that selfesteem would be related to institutional identity and that there would be no differences in this relationship amongst students attending Historically Black Colleges and Universities (HBCUs) and those attending Predominately White Institutions (PWIs). The results suggested that there was a relationship between self-esteem and institutional identity; however, this relationship varied according to institutional type. Although a sense of belonging predicted self-esteem in all institutions, perceptions of others’ appraisal (public regard) of their institution predicted self-esteem in HBCU participants, while one’s personal appraisal (private regard) of their institution predicted self-esteem in PWI participants. The self-concept of Black male freshmen at PWIs appears to be explained by an internalized appraisal of their institution, while the opposite occurs in Black male freshmen at HBCUs. Further investigation may also suggest a difference in this relationship according to different HBCUs.
Spectral Shift Function for Schrödinger Operators in Constant Magnetic Fields

We consider the three-dimensional Schrödinger operator with constant magnetic field, perturbed by an appropriate short-range electric potential, and investigate various asymptotic properties of the corresponding spectral shift function (SSF). First, we analyse the singularities of the SSF at the Landau levels. Further, we study the strong magnetic field asymptotic behaviour of the SSF; here we distinguish between the asymptotics far from the Landau levels, and near a given Landau level. Finally, we obtain a Weyl type formula describing the high energy behaviour of the SSF. This a survey article on recent published results obtained by the author jointly with Vincent Bruneau, Claudio Fernández, and Alexander Pushnitski. A shorter version will appear in the Proceedings of the Conference QMath9, Giens, France, September 2004.
A search for Very High Energy gamma-ray emission from Passive Super-massive Black Holes

Jets of Active Galactic Nuclei (AGN) are established emitters of very high energy (VHE; >100 GeV) gamma-rays. VHE radiation is also expected to be emitted from the vicinity of super-massive black holes (SMBH), irrespective of their activity state. Accreting SMBH rotate and generate a dipolar magnetic field. In the magnetosphere of the spinning black hole, acceleration of particles can take place in the field gaps. VHE emission from these particles is feasible via leptonic or hadronic processes. Therefore quiescent systems, where the lack of a strong photon field allows the VHE emission to escape, are candidates for emission. The H.E. S.S. experiment has observed the passive SMBH in the nearby galaxy NGC 1399. No VHE gamma-ray signal is observed from the galactic nucleus. Constraints set by the NGC 1399 observations are discussed in the context of different mechanisms for the production of VHE gamma-ray emission.
DST Feature Based Locality Preserving Projections for Face Recognition

Locality preserving projection (LPP) is a promising manifold learning approach for dimensionality reduction. However, it often encounters small sample size (3S) problem in face recognition tasks. To overcome this limitation, this paper proposes a discrete sine transform (DST) feature extraction approach and develops a DST-feature based LPP algorithm for face recognition. The proposed method has been tested and evaluated with two public available databases, namely ORL and FERET databases. Comparing with Eigenface, Laplacianface methods, the proposed DST-LPP approach gives superior performance.
Low voltage high performance FGMOS based Wilson current mirror

This paper presents floating gate MOS (FGMOS) based Wilson current mirror (WCM) with both low input and output voltage requirements, along with high output impedance. The bandwidth of the proposed FGMOS based WCM is 257.904 MHz and it is further increased to 316.228 MHz by using resistive compensation technique of bandwidth extension. From low-frequency small signal analysis it has been shown that the output impedance of the proposed current mirror is higher than that of conventional one. A low voltage current mode full wave rectifier (FWR) is designed by using proposed FGMOS based WCM. The simulations are performed using SPICE and TSMC 0.18 μm CMOS technology parameters with ± 0.75 V supply voltage to validate the effectiveness of the proposed circuit.
Putting the User in the Center of Music Information Retrieval

Personalized and context-aware music retrieval and recommendation algorithms ideally provide music that perfectly fits the individual listener in each imaginable situation and for each of her information or entertainment need. Although first steps towards such systems have recently been presented at ISMIR and similar venues, this vision is still far away from being a reality. In this paper, we investigate and discuss literature on the topic of user-centric music retrieval and reflect on why the breakthrough in this field has not been achieved yet. Given the different expertises of the authors, we shed light on why this topic is a particularly challenging one, taking a psychological and a computer science view. Whereas the psychological point of view is mainly concerned with proper experimental design, the computer science aspect centers on modeling and machine learning problems. We further present our ideas on aspects vital to consider when elaborating user-aware music retrieval systems, and we also describe promising evaluation methodologies, since accurately evaluating personalized systems is a notably challenging task.
Design, Inference, and the Strategic Logic of Suicide Terrorism

In “The Strategic Logic of Suicide Terrorism,” Robert Pape (2003) presents an analysis of his suicide terrorism data. He uses the data to draw inferences about how territorial occupation and religious extremism affect the decision of terrorist groups to use suicide tactics. We show that the data are incapable of supporting Pape's conclusions because he “samples on the dependent variable. ”—The data only contain cases in which suicide terror is used. We construct bounds (Manski, 1995) on the quantities relevant to Pape's hypotheses and show exactly how little can be learned about the relevant statistical associations from the data produced by Pape's research design.
Sparse passive radar imaging based on direct broadcasting satellite

Direct broadcasting satellites (DBS) are located in geosynchronous orbit, and have the advantages of fixed system structure, broad beam coverage, and strong radiation power. Therefore, this paper studies the performance of DBS as the opportunity illuminators for passive radar. After establishing distributed passive radar imaging model based on DBS, we propose a sparse imaging method based on compressive sensing. Simulation results show the effectiveness of the new method.
CRAB - EXPLORATION ROVER WITH ADVANCED OBSTACLE NEGOTIATION CAPABILITIES

Many exploration rovers have been proposed in the past, but none was compared to other systems. Therefore, this paper not only introduces the locomotion concept CRAB, but also compares it to other rovers regarding obstacle negotiation capabilities. Instead of relying only on simulation, a comparison was also performed with real breadboards. In reality the CRAB is compared to RCL-E (Concept E by RCL); the simulations include the MER (Mars Exploration Rover by NASA) as well. The simulations predict significantly superior performance of CRAB compared to RCL-E, which is confirmed by the tests on hardware. The performance of CRAB and MER is similar; however, the CRAB has the same behavior in forward and backward motion because it is a symmetrical structure, while the MER has significantly inferior performance in backward motion.