Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-Time Implementation of a Particle Filter with Integrated Voice Activity Detector for Acoustic Speaker Tracking

In noisy and reverberant environments, the problem of acoustic source localisation and tracking (ASLT) using an array of microphones presents a number of challenging difficulties. One of the main issues when considering real-world situations involving human speakers is the temporally discontinuous nature of speech signals: the presence of silence gaps in the speech can easily misguide the tracking algorithm, even in practical environments with low to moderate noise and reverberation levels. This work focuses on a realtime implementation of the ASLT algorithm, which circumvents this problem by integrating measurements from a voice activity detector (VAD) within the tracking algorithm framework. The algorithm is here optimized for low computational complexity, and is implemented on a PC based real-time system. The resulting computational load is calculated and is presented along with real measurements of the true execution speed for the considered algorithm implementation. The results show that the algorithm is suitable for implementation in currently existing low-power embedded systems
Exploring gender based influencers using Social Network Analysis

The social network is dominating the society with interactive collaboration and social interactions. It is very common now to share, post, like and comment on various topic of interest. These interactions has given space for research to explore the social relationships among online users. Predicting the influencers in social network can help us to control the flow of information in them. The objective of this research work is to analyze the likes in Facebook users cover photos to identify the influencers and their gender. Using clustering coefficient, degree analysis and triadic census we were able to identify the influencers and found that men are strong influencers in the network.
in Human Breast Carcinoma Gene Is Differentially Expressed MDM 2-binding Protein p 53 The Updated

The human p53-binding protein murine double minute 2 (MDM2) is believed to function as a negative regulator of p53. The MDM2 gene was cloned and sequenced only recently and was found to be amplified in a variety of sarcomas. Although mutations in thep5J gene have been shown to occur in human breast carcinoma (HBC), no information is available on MDM2 gene expression in HBC. In this study we report for the first time that the MDM2 gene is differentially expressed in HBC. Our results dem onstrate a correlation between the estrogen receptor (ER) status and the MDM2 mRNA levels. In contrast to the ER-negative cell lines, all the ER-positive cell lines were found to express higher levels of\lDM2 mRNA. ER-positive ZR-75 cells express 30-fold higher levels of MDM2 mRNA than does the ER-negative cell line Hs578T. Estrogen enhanced albeit modestly the MDM2 mRNA levels in ER-positive MCF-7 cells. Estrogen enhancement of MDM2 mRNA levels was also observed in ER-negative MDA-MB-231 cells transfected with functional ERs. Our data thus sug gest that estrogen may play an important role in HBC growth stimulation by modulating the expression of MDM2, which in turn may inactivate the p53 function.
Cognitive Parameters based Supplier Agent Selection in Supply chain management

Multi agent systems (MAS) have been widely used by many researchers in the different applications of E-Commerce such as Supply chain management (SCM), negotiation and brokering. In this paper, we evaluate supplier agent's various cognitive parameters like adaptability, capability, reputation degree, commitment, efficiency, and trust, for selection of the best supplier agent. The selection of the best supplier from a large number of available suppliers will help organizations to increase their efficiency and this will help negotiation strategies to find out most profitable proposal by which both manufacturer and selected supplier can get profit. In this paper, a logical cognitive model is developed. References
Exact symbol error probabilities for SVD transmission of BPSK data over fading channels

In this paper we derive a generalized method to compute the error probabilities of singular value decomposition-based receivers for a MIMO system with uncoded transmission. The method can be used for a wide class of flat fading environments, including i.i. d. and semi-correlated Rayleigh and i.i. d. Ricean channels. Although we apply the method to equal-power BPSK, it can easily be extended to higher order M-PSK and M-QAM signal constellations and adaptive "water-filling" schemes. The error probability curves derived from closed-form formulas and simulations demonstrate very close agreement. We also compare the error performances of CI, MMSE and ZF receivers with the SVD receiver.
Online Event Integration with StoryPivot

Modern data integration systems need to process large amounts of data from a variety of data sources and with real-time integration constraints. They are not only employed in enterprises for managing internal data but are also used for a variety of web services that use techniques such as entity resolution or data cleaning in live systems. In this work, we discuss a new generation of data integration systems that operate on (un-)structured data in an online setting, i.e., systems which process continuously modified datasets upon which the integration task is based. We use as an example of such a system an online event integration system called StoryPivot. It observes events extracted from news articles in data sources such as the 'Guardian' or the 'Washington Post' which are integrated to show users the evolution of real-world stories over time. The design decisions for StoryPivot are influenced by the trade-off between maintaining high quality integration results while at the same time building a system that processes and integrates events in near real-time. We evaluate our design decisions with experiments on two real-world datasets and generalize our findings to other data integration tasks that have a similar system setup.
Evolutionary artificial potential fields and their application in real time robot path planning

A new methodology named Evolutionary Artificial Potential Field (EAPF) is proposed for real-time robot path planning. The artificial potential field method is combined with genetic algorithms, to derive optimal potential field functions. The proposed EAPF approach is capable of navigating robot(s) situated among moving obstacles. Potential field functions for obstacles and goal points are also defined. The potential field functions for obstacles contain tunable parameters. The multi-objective evolutionary algorithm (MOEA) is utilized to identify the optimal potential field functions. Fitness functions such as goal-factor, obstacle-factor, smoothness-factor and minimum-pathlength-factor are developed for the MOEA selection criteria. An algorithm named escape-force is introduced to avoid the local minima associated with EAPF. Moving obstacles and moving goal positions were considered to test the robust performance of the proposed methodology. Simulation results show that the proposed methodology is efficient and robust for robot path planning with non-stationary goals and obstacles.
Experimental study on shell-strengthening the lightweight pumice aggregates

Natural pumice aggregates have the characteristics of low numerical tube pressure and high water absorption. In this study, the pumice aggregates was reinforced by making shell process with the methods of mixing pumice powder and silica fume into cement, which aimed to solve the problem that it was difficult for the preparation of lightweight concrete of high strength. Through the strengthening treatment of pumice aggregates, the light aggregates with the numerical tube pressure of 2.6MPa, bulk density less than 500 kg/m3 and water absorption ranging from 12.1% to 17.5% were obtained. The lightweight aggregate concrete was also made up with pumice. The compressive strength of the concrete at 28d age was higher than 15MPa and the apparent density was about 1400 kg/m3. So the results of this research were conducive for the preparation and application of high-strength and lightweight pumice concrete.
PDATS Lossless Address Trace Compression For Reducing File Size And Access Time

The tremendous storage space required for a useful data base of traces has driven a search for trace compaction techniques. In this paper we present an information-lossless trace compression scheme that can reduce both storage space and access time by an order of magnitude or more, compared to ASCII-format traces, without discarding either references or inter-reference timing from the original trace. This technique has been selected as the standard trace format for an extensive new trace data base that will be made accessible to the international research and teaching community.
Renormalization of the S Parameter in Holographic Models of Electroweak Symmetry Breaking

We show that the S parameter is not finite in theories of electroweak symmetry breaking in a slice of anti-de Sitter five-dimensional space, with the light fermions localized in the ultraviolet. We compute the one-loop contributions to S from the Higgs sector and show that they are logarithmically dependent on the cutoff of the theory. We discuss the renormalization of S, as well as the implications for bounds from electroweak precision measurements on these models. We argue that, although in principle the choice of renormalization condition could eliminate the S parameter constraint, a more consistent condition would still result in a large and positive S. On the other hand, we show that the dependence on the Higgs mass in S can be entirely eliminated by the renormalization procedure, making it impossible in these theories to extract a Higgs mass bound from electroweak precision constraints.
The Effect of Inversion at 8p23 on BLK Association with Lupus in Caucasian Population

To explore the potential influence of the polymorphic 8p23.1 inversion on known autoimmune susceptibility risk at or near BLK locus, we validated a new bioinformatics method that utilizes SNP data to enable accurate, high-throughput genotyping of the 8p23.1 inversion in a Caucasian population. Methods: Principal components analysis (PCA) was performed using markers inside the inversion territory followed by k-means cluster analyses on 7416 European derived and 267 HapMaP CEU and TSI samples. A logistic regression conditional analysis was performed. Results: Three subgroups have been identified; inversion homozygous, heterozygous and non-inversion homozygous. The status of inversion was further validated using HapMap samples that had previously undergone Fluorescence in situ hybridization (FISH) assays with a concordance rate of above 98%. Conditional analyses based on the status of inversion were performed. We found that overall association signals in the BLK region remain significant after controlling for inversion status. The proportion of lupus cases and controls (cases/controls) in each subgroup was determined to be 0.97 for the inverted homozygous group (1067 cases and 1095 controls), 1.12 for the inverted heterozygous group (1935 cases 1717 controls) and 1.36 for non-inverted subgroups (924 cases and 678 controls). After calculating the linkage disequilibrium between inversion status and lupus risk haplotype we found that the lupus risk haplotype tends to reside on non-inversion background. As a result, a new association effect between non-inversion status and lupus phenotype has been identified ((p = 8.18×10−7, OR = 1.18, 95%CI = 1.10–1.26). Conclusion: Our results demonstrate that both known lupus risk haplotype and inversion status act additively in the pathogenesis of lupus. Since inversion regulates expression of many genes in its territory, altered expression of other genes might also be involved in the development of lupus.
Is Cross-Cultural Management the Key to Success in Global Healthcare Competition?

Global competition adds yet another complex dimension to the success of a healthcare organization in an industry that is already competitive in its own right.This study focuses on a major healthcare organization in Thailand, its expansion in Southeast Asia and into the Middle East, the role of cross-cultural communication in its successful global healthcare management, and specifically which areas of management are most important to the success of that competitiveness. An inductive approach was used as a methodology for determining competitiveness as it related to cross-cultural communication and management. The resulting qualitative analysis of that data addresses issues of seeking and maintaining global competitiveness and providing superior quality care with competitive and reasonable pricing of services while working effectively through strategic alliances. Data was collected from interviews and questionnaires from a random mix of healthcare personnel and national and expatriates living and working in Abu Dhabi (United Arab Emirates) and Thailand. Subjects were varied from upper-level and middle-level management in the healthcare organization to basic company employees outside the organization. A qualitative analysis of data provided a grounded theory to support the development of effective cross-cultural management in a Thai healthcare organization to enhance global competitiveness.
Are Hox Genes Ancestrally Involved in Axial Patterning? Evidence from the Hydrozoan Clytia hemisphaerica (Cnidaria)

Background The early evolution and diversification of Hox-related genes in eumetazoans has been the subject of conflicting hypotheses concerning the evolutionary conservation of their role in axial patterning and the pre-bilaterian origin of the Hox and ParaHox clusters. The diversification of Hox/ParaHox genes clearly predates the origin of bilaterians. However, the existence of a “Hox code” predating the cnidarian-bilaterian ancestor and supporting the deep homology of axes is more controversial. This assumption was mainly based on the interpretation of Hox expression data from the sea anemone, but growing evidence from other cnidarian taxa puts into question this hypothesis. Methodology/Principal Findings Hox, ParaHox and Hox-related genes have been investigated here by phylogenetic analysis and in situ hybridisation in Clytia hemisphaerica, an hydrozoan species with medusa and polyp stages alternating in the life cycle. Our phylogenetic analyses do not support an origin of ParaHox and Hox genes by duplication of an ancestral ProtoHox cluster, and reveal a diversification of the cnidarian HOX9-14 genes into three groups called A, B, C. Among the 7 examined genes, only those belonging to the HOX9-14 and the CDX groups exhibit a restricted expression along the oral-aboral axis during development and in the planula larva, while the others are expressed in very specialised areas at the medusa stage. Conclusions/Significance Cross species comparison reveals a strong variability of gene expression along the oral-aboral axis and during the life cycle among cnidarian lineages. The most parsimonious interpretation is that the Hox code, collinearity and conservative role along the antero-posterior axis are bilaterian innovations.
A physical layer simulation for WiMAX MIMO-OFDM system: Throughput comparison between 2×2 STBC and 2×2 V-BLAST in Rayleigh fading channel

WiMAX is a broadband wireless technology based on IEEE802.16 standards family, which defines the physical (PHY) and medium access control (MAC) layers and makes several possible configurations available along with non-mandatory options. WiMAX is a new OFDM based technology and promises to combine high data rate services with wide area coverage. In this paper, the performance of WiMAX PHY layer is investigated for two MIMO (Multiple-Input Multiple-Output) PHY layer modifications, (Space-Time Block Codes, STBC) and (Spatial multiplexing, SM) to provide high suppression against multipath fading, provide high bandwidth efficiency and high throughput with high data rates. This work incorporates the model building of the WiMAX Physical layer using MATLAB simulation. The results obtained for these modifications show that these mechanisms enhance the performance of the WiMAX PHY layer in fixed environments with high spectral efficiency.
The Gelfand widths of ℓp-balls for 0

We provide sharp lower and upper bounds for the Gelfand widths of `p-balls in the N -dimensional `q -space for 0 < p ≤ 1 and p < q ≤ 2. Such estimates are highly relevant to the novel theory of compressive sensing, and our proofs rely on methods from this area.
Comparing Several Techniques for Offline Recognition of Printed Mathematical Symbols

Automatic recognition of printed mathematical symbols is a fundamental problem for recognition of mathematical expressions. Several classification techniques has been previously used, but there are very few works that compare different classification techniques on the same database and with the same experimental conditions. In this work we have tested classical and novelty classification techniques for mathematical symbol recognition on two databases.
Effects of forest management on epiphytic lichen diversity in Mediterranean forests

Question: What are the responses of epiphytic lichens to the intensity of management along a large environmental gradient in Mediterranean Quercus forests? Location: Central Spain. Methods: This study was carried out on 4590 trees located in 306 forest stands dominated by Quercus faginea or Quercus ilex ssp. ballota. The effect of forest management and other predictor variables on several species diversity indicators were studied. Variables modelled were total species richness, cyanolichen richness and community composition. A large number of predictor variables were included: forest fragmentation (patch size, stand variability), climate and topographic (altitude, slope, sun radiation, annual rainfall and mean annual temperature) and intensity of management. General linear models and constrained ordination techniques were used to model community traits and species composition, respectively. Results: Total richness and especially cyanolichens richness were significantly and negatively affected by the intensity of management. Lichen composition was influenced by management intensity, climatic and topographic variables and stand variability. Conclusions: In Mediterranean forests, human activities related to forestry, agricultural and livestock use cause impoverishment of lichen communities, including the local disappearance of the most demanding species. The conservation of unmanaged forests with a dense canopy is crucial for lichen diversity.
Using Decomposition Techniques and Constraint Programming for Solving the Two-Dimensional Bin-Packing Problem

The two-dimensional bin-packing problem is the problem of orthogonally packing a given set of rectangles into a minimum number of two-dimensional rectangular bins. The problem is NP-hard and very difficult to solve in practice as no good mixed integer programming (MIP) formulation has been found for the packing problem. We propose an algorithm based on the well-known Dantzig-Wolfe decomposition where the master problem deals with the production constraints on the rectangles while the subproblem deals with the packing of rectangles into a single bin. The latter problem is solved as a constraint-satisfaction problem (CSP), which makes it possible to formulate a number of additional constraints that may be difficult to formulate as MIP models. This includes guillotine-cutting requirements, relative positions, fixed positions and irregular bins. The CSP approach uses forward propagation to prune inferior arrangements of rectangles. Unsuccessful attempts to pack rectangles into a bin are brought back to the master model as valid inequalities. Hence, CSP is used not only to solve the pricing problem but also to generate valid inequalities in a branch-and-cut system. Using delayed column-generation, we obtain lower bounds of very good quality in reasonable time. In all instances considered, we obtain similar or better bounds than previously published. Several instances with up to n = 100 rectangles are solved to optimality through the developed branch-and-price-and-cut algorithm.
Semi-Automatedvs . VisualReadingof UrinalysisDipsticks

Semi-automated reflectance readings of urinalysis dipsticks showed better precision than visual readings in the case of artificially prepared urine samples containing glucose, ketone, and protein. Actual pathological specimens containing glucose, protein, and nitrite also showed that instrumental readings were better than visual. Results of repeated visual readings spread over three different color blocks for certain concentrations of glucose, ketone, and protein, whereas repeated instrumental readings were never spread greater than two color blocks. Subjectivity can be reduced by semi-automated dipstick urinalysis.
Capacity criterion for codebook design in MIMO systems with limited feedback

Limited feedback for precoding matrices is very practical in the multiple-input multiple-output antenna communication system. In this paper, a capacity criterion is proposed to design the precoding codebook, which emphasizes the negative impacts of the limited feedback and maximizes the capacity directly. Then, the generalized Lloyd algorithm is used to construct the precoding codebook according to the proposed criterion. Lastly, Monte Carlo simulations are presented to verify the feasibilities and advantages of the new designed codebook.
Building a Real Word Spell Checker based on Power Links

A context-based spelling error is a spelling or typing error that turns an intended word into another word of language. Most of the methods that tried to solve this problem were depended on the confusion sets. Confusion set are collection of words where each word in the confusion set is ambiguous with the other words in the same set. the machine learning and statistical methods depend on predefined confusion sets. In this paper, the presented method by Rokaya to define the confusion sets depending on the content and external dictionaries is adopted. A merging between this method and WinSpell to develop a refined automatic context spell checker. This method joins between the advantages of statistical and machine learning method and the re-source
Audio-visual multilevel fusion for speech and speaker recognition

In this paper we propose a robust audio-visual speech-andspeaker recognition system with liveness checks based on audio-visual fusion of audio-lip motion and depth features. The liveness verification feature added here guards the system against advanced spoofing attempts such as manufactured or replayed videos. For visual features, a new tensor-based representation of lip motion features, extracted from an intensity and depth subspace of 3D video sequences, is fused used with the audio features. A multilevel fusion paradigm involving first a Support Vector Machine for speech (digit) recognition and then a Gaussian Mixture Model for speaker verification with liveness checks allowed a significant performance improvement over single-mode features. Experimental evaluation for different scenarios with AVOZES, a 3D stereovision speaking-face database, shows favourable results with recognition accuracies of 70-90% for the digit recognition task, and EERs of 5% and 3% for the speaker verification and liveness check tasks respectively.