Miracle-dz/UniFAR-FTUs huggingface dataset:
Training Decision Trees

Today’s recognizers are primarily based on single pronunciations for most words. This means that the burden of modeling phonetic variability falls entirely on acoustic modeling. In addition, certain types of pronunciation variation (phone deletion/reduction, dialect) are impossible to model well at the acoustic level. We suspect that one of the difficulties in recognizing conversational speech (compared to read speech) is the greater variability of pronunciation. We propose to capture this variability by modeling the pronunciations for each word. The goal of this project is to automatically learn a model of word pronunciation from data. We focus on frequent words that appear many times in the Switchboard and Callhome corpora, since a small number of words make up a large fraction of the total errors. We can hope to learn these pronunciations automatically since these words occur many times in the training data. All past attempts in this area have treated pronunciation variants as mutually independent, i.e., under the assumption that any speaker would choose one of the given variants with a given probability, independent of related choices in the same phonological context, conversation, by the same speaker. Such an approach is simple to implement, but increases the number of parameters and the phone-level perplexity of the model. The advantage of learning word pronunciations automatically is that such a model will be a better fit to the observed data. However, the advantage of improved modeling must be accompanied by solutions to the
T-S fuzzy model with linear rule consequence and PDC controller: a universal framework for nonlinear control systems

We present two results concerning the fuzzy modeling and control of nonlinear systems. The first result is on the approximation of smooth nonlinear dynamical systems using linear Takagi-Sugeno (T-S) fuzzy models. The second result is on the approximation of smooth nonlinear state-feedback controllers using the so-called parallel distributed compensation (PDC) controller. Both results are based on the effectiveness of using linear Takagi-Sugeno systems to approximate nonlinear function, which is also proved in this paper.
Acappella synthesis demonstrations using RWC music database

series of demonstrations of synthesized acappella songs based on an auditory morphing using STRAIGHT (5) will be presented. Singing voice data for morphing were ex- tractedfromtheRW Cmusicdatabaseof musicalinstru- ment sound. Discussions on a new extension of the morph- ing procedure to deal with vibrato will be introduced based on the statistical analysis of the database and its eect on synthesized acappella will also be demonstrated.
Inter-vehicle object association for cooperative perception systems

In cooperative perception systems, different vehicles share object data obtained by their local environment perception sensors, like radar or lidar, via wireless communication. Inaccurate self-localizations of the vehicles complicate association of locally perceived objects and objects detected and transmitted by other vehicles. In this paper, a method for inter-vehicle object association is presented. Position and orientation offsets between object lists from different vehicles are estimated by applying point matching algorithms. Different algorithms are analyzed in simulations concerning their robustness and performance. Results with a first implementation of the so-called Auction-ICP algorithm in a real test vehicle validate the simulation results.
Green Vendor Selection with Risk Analysis

 Because the consciousness of environmental protection, many issues related to Green Supply Chains (GSC) are discussed. Different from traditional supply chains, GSC are concerned about environmental impacts and material utilization issues, which make the selection of the suppliers more complicated. The mindset of “prevention prior to cure” and the restrictions of the European Union render green materials and components critical issues from the beginning of production. According to the regulations of the EU and issues of supplier selection criteria, supplier selection is a type of multi-criteria problem. Thus, this research uses AHP and FMEA to construct a hierarchy structure for this purpose. By considering the minimal risk and costs, a complete analysis is conducted. Decision makers can follow rules to calibrate the results of decisions and establish a benchmark to identify suitable supplier; in the meantime to improve the alliance relation by the sensitivity analysis proposed in this study.
Cytoplasmic mislocalization of p27 and CDK2 mediates the anti-migratory and anti-proliferative effects of Nodal in human trophoblast cells

Summary p27Kip1, a cyclin-dependent kinase (CDK) inhibitor, is a multi-functional protein that regulates various cellular activities. Trophoblast proliferation, migration and invasion are some of the key processes of placental development. We have recently reported that Nodal, a member of the transforming growth factor-&bgr; (TGF-&bgr;) superfamily, inhibits human trophoblast cell proliferation, migration and invasion. In the present study, we investigated the mechanism by which Nodal regulates trophoblast activities. We found that Nodal increased p27 mRNA and protein levels by enhancing their stability. Interestingly, Nodal signaling also induced nuclear export of p27 and CDK2. Cytoplasmic translocation of p27 induced by Nodal requires p27 phosphorylation at S10. In addition, Nodal enhanced the association of p27 with CDK2, CDK5 and a microtubule-destabilizing protein, stathmin, and induced stathmin phosphorylation at S25 and S38. Furthermore, Nodal increased tubulin stability as revealed by immunofluorescent staining of acetylated tubulin. Finally, silencing of p27 reversed the inhibitory effect of Nodal on trophoblast cell proliferation, migration and invasion. Taken together, our findings revealed a novel function of simultaneous p27 and CDK2 cytoplasmic mislocalization in mediating growth-factor-regulated cell proliferation, migration and invasion.
Regulatory Networks and Genomic Algorithms

We propose steps toward enhancing evolutionary computation via mechanisms from molecular biology, in particular the ideas of regulatory networks and embryogenesis. First we survey key facts and developments in bioinformatics and molecular genetics, followed by speculations on future implementations in evolutionary computation. We then focus on computational implementations of the mechanisms of regulatory networks and embryogenesis, surveying previous work in the field and showing the potential of these methods through analysis and analogy. Connections and applications of the regulatory network idea to other fields are also discussed.
Fuzzy-genetic optimal control for robotic systems

In this paper, we present optimal control for movement and trajectory planning of a various degrees-offreedom robots using fuzzy logic (FL) and genetic algorithms (GAs). We have evaluated and shown comparative analysis for three degree-of-freedom (3 DOF) and four degree-of-freedom (4 DOF) robotics arm to compensate the uncertainties like; Movement, friction and settling time in robotic arm movement. This paper describes genetic algorithms, which is designed to optimize robot movement and trajectory. Though the model represents is a general model for redundant structures and could represent any n-link structures. Results shows optimal angular movement of joints, it converges too quickly even if the population is very large. The result also shows the complete trajectory planning with FL and GAs and also demonstrating the flexibility of this technique.
Design of High Speed and Low Area Masked AES Using Complexity Reduced Mix-Column Architecture

In this paper, presents optimized mix column architecture to get less area and delay than the existing mix column. Because the proposed mix column architecture is reduced using Xtime unit. In the existing architecture, we are used complex mix-column in masked AES architecture. It consists of 8 multipliers and 11 adders. It consumes more area and power. In the proposed architecture, a novel mixcolumn is introduced to reduce the area and power than the existing method. The proposed mix-column consists of only 12 adders and 4 Xtime circuit. Instead of normal multiplier in the MixColumns, we are using Xtime unit to reduce the circuit complexity. The proposed 128bits AES Scheme provides high secure and less area. It is used for ATM, Net banking, Satellite Communication, Military applications.
An Exploratory Study of the Impact of IT Capabilities Adaptation on Shared Mental Models Similarity

Developing an effective IT use strategy to achieve its potential is a central concern in organizations. As teams are essential in accomplishing projects and tasks, it becomes relevant to understand the nature of IT use by teams. In this study, we propose a new term, IT capabilities adaptation (ITCA), which represents an emergent view with regard to patterns of successful IT use in teams. By incorporating the construct shared mental models (SMM) as the dependent variable, we develop and pilot test a theoretical model to examine the impact of ITCA on SMM similarity. The model is constructed and examined at the team level. Based on findings in previous studies, we specify four salient properties of IT capabilities adaptation. The findings suggest that the SMM similarity index is significantly associated with IT usage experience and change of perceived complexity.
Necdin Controls Proliferation of White Adipocyte Progenitor Cells

White adipose tissues are composed mainly of white fat cells (adipocytes), which play a key role in energy storage and metabolism. White adipocytes are terminally differentiated postmitotic cells and arise from their progenitor cells (preadipocytes) or mesenchymal stem cells residing in white adipose tissues. Thus, white adipocyte number is most likely controlled by the rate of preadipocyte proliferation, which may contribute to the etiology of obesity. However, little is known about the molecular mechanisms that regulate preadipocyte proliferation during adipose tissue development. Necdin, which is expressed predominantly in postmitotic neurons, is a pleiotropic protein that possesses anti-mitotic and pro-survival activities. Here we show that necdin functions as an intrinsic regulator of white preadipocyte proliferation in developing adipose tissues. Necdin is expressed in early preadipocytes or mesenchymal stem cells residing in the stromal compartment of white adipose tissues in juvenile mice. Lentivirus-mediated knockdown of endogenous necdin expression in vivo in adipose tissues markedly increases fat mass in juvenile mice fed a high-fat diet until adulthood. Furthermore, necdin-null mutant mice exhibit a greater expansion of adipose tissues due to adipocyte hyperplasia than wild-type mice when fed the high-fat diet during the juvenile and adult periods. Adipose stromal-vascular cells prepared from necdin-null mice differentiate in vitro into a significantly larger number of adipocytes in response to adipogenic inducers than those from wild-type mice. These results suggest that necdin prevents excessive preadipocyte proliferation induced by adipogenic stimulation to control white adipocyte number during adipose tissue development.
Absolute Proper Motions to B ~ 22.5. V. Detection of Sagittarius Dwarf Spheroidal Debris in the Direction of the Galactic Anticenter

We have detected a population of predominantly blue (B-V ≤ 1.1) stars in the direction l = 167°, b = -35° (Kapteyn Selected Area [SA] 71) that cannot be accounted for by standard star count models. Down to V ~ 20 mag, the colors and magnitudes of these stars are similar to those of the southern overdensity detected by the Sloan Digital Sky Survey (SDSS) at l = 167°, b = -54° and identified as stripped material from the Sagittarius dwarf spheroidal (Sgr dSph) galaxy. We present absolute proper motions of the stars in SA 71, and we find that the excess blue stars represent a distinct, kinematically cooler component than the Galactic field, in reasonable agreement with predictions of Sgr dSph disruption models. The density of the excess SA 71 stars at V ~ 18.8 mag and B-V ≤ 1.1 is within a factor of 2 of the density of the SDSS-south Sgr dSph stripped material and of that predicted by the Helmi & White disruption model. Three additional anticenter fields (SA 29, 45, and 118) show very good agreement with standard star count models.
Cognitive performance of detoxified alcoholic Korsakoff syndrome patients remains stable over two years

Excessive alcohol consumption is assumed to promote cognitive decline, eventually increasing the risk of dementia. However, little is known about the time course of cognitive functions in patients with chronic alcoholic Korsakoff syndrome (KS). Therefore, we assessed neuropsychological performance in 20 detoxified chronic KS inpatients at time 1 (T1) with a follow-up after two years (T2). The neuropsychological tests assessed verbal and visual short- and long-term memory, working memory, basic executive functions, language, general knowledge, and visual–spatial abilities. Surveys with caregivers and medical records provided information about current and previous disease-related parameters, drinking history, additional pathologies, as well as psychosocial and cognitive therapy within the two-year period. At both sessions, the majority of the KS patients' results were inferior to those of normal subjects. Comparing T1 and T2 revealed no significant decline in any of the investigated functions. Instead, general knowledge, visual long-term memory, and verbal fluency improved slightly after two years, though they still remained within pathological range. Comparing most improved and most deteriorated patients, better outcome occurred more frequently in men than women and was associated with higher premorbid education and fewer detoxifications in the past. In this sample of detoxified KS patients there was no indication of accelerated cognitive decline or onset of dementia-like symptoms over two years.
Identification and Characterization of a PutAMT1;1 Gene from Puccinellia tenuiflora

Nitrogen is one of the most important limiting factors for plant growth. However, as ammonium is readily converted into ammonia (NH3) when soil pH rises above 8.0, this activity depletes the availability of ammonium (NH4 +) in alkaline soils, consequently preventing the growth of most plant species. The perennial wild grass Puccinellia tenuiflora is one of a few plants able to grow in soils with extremely high salt and alkaline pH (>9.0) levels. Here, we assessed how this species responds to ammonium under such conditions by isolating and analyzing the functions of a putative ammonium transporter (PutAMT1;1). PutAMT1;1 is the first member of the AMT1 (ammonium transporter) family that has been identified in P. tenuiflora. This gene (1) functionally complemented a yeast mutant deficient in ammonium uptake (2), is preferentially expressed in the anther of P. tenuiflora, and (3) is significantly upregulated by ammonium ions in both the shoot and roots. The PutAMT1;1 protein is localized in the plasma membrane and around the nuclear periphery in yeast cells and P. tenuiflora suspension cells. Immunoelectron microscopy analysis also indicated that PutAMT1;1 is localized in the endomembrane. The overexpression of PutAMT1;1 in A. thaliana enhanced plant growth, and increased plant susceptibility to toxic methylammonium (MeA). Here, we confirmed that PutAMT1;1 is an ammonium-inducible ammonium transporter in P. tenuiflora. On the basis of the results of PutAMT1;1 overexpression in A. thaliana, this gene might be useful for improving the root to shoot mobilization of MeA (or NH4 +).
Annotated document: Scoring and ranking method

Semantic annotation represents a metadata of the document based on domain ontology. The purpose of this paper is to present semantic similarity document annotation ranking framework given a user's query. The framework features related concepts inclusion and applies appropriate weighting functions. Our aim is to rank and score semantic document annotation based on document richness. We also compare our approach with other methods using a research prototype retrieval engine, PicoDoc. The system framework of PicoDoc is based on OCAS2008 ontology. In this experiment, we are using a real-life dataset from news article corpus from ABC and BBC. The experiment shows promising results in retrieving related information using the proposed framework.
Leveraging cloud based big data analytics in knowledge management for enhanced decision making in organizations

In recent past, big data opportunities have gained much momentum to enhance knowledge management in organizations. However, big data due to its various properties like high volume, variety, and velocity can no longer be effectively stored and analyzed with traditional data management techniques to generate values for knowledge development. Hence, new technologies and architectures are required to store and analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for effective decision making by organizations. More specifically, it is necessary to have a single infrastructure which provides common functionality of knowledge management, and flexible enough to handle different types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and processing large volume of data can be used for efficient big data processing because it minimizes the initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual framework that can analyze big data in real time to facilitate enhanced decision making intended for competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship between big data analytics and knowledge management which are mostly deemed as two distinct entities.
Effects of nimesulide on the small intestine mucositis induced by methotrexate in rats

Intestinal mucositis is one of the major problems in the patients receiving cancer treatment. Nimesulide is a drug with antioxidant, antiinflammatory and antiulcer features. We aimed to investigate the effect of nimesulide on the small intestine mucositis induced by methotrexate (MTX) in rats. Experimental animals were divided into the control group, MTX group (MTXG) and nimesulide+MTX administered group (NMTXG) with eight rats per group. The control and MTXG groups were given distilled water by gavage and the NMTXG was given nimesulide 100 mg/kg orally. After one hour, the NMTXG and MTXG rat groups were administered oral MTX 5 mg/kg. This procedure was repeated once a day for 15 days and the rats were sacrificed. The duodenum and jejunum of each rat was removed for the assessment of biochemical markers and histopathological evaluation. Malondialdehyde (MDA) and myeloperoxidase (MPO) levels were significantly higher in the duodenal and jejunal tissues of the animals which received MTX, compared to the control and NMTXG (P<0.001). Also, the levels of total glutathione (tGSH), glutathione reductase (GSHRd), glutathione peroxidase (GSHPx), catalase (CAT) and superoxide dismutase (SOD) were significantly lower in the MTXG (P<0.001) compared to other groups. MTX led to villus and crypt epithelial damage and inflammation containing marked PMNL and eosinophils in the intestinal tissues histopathologically. Whereas, there was only mild irregularities in the villus structures of the NMTXG. Nimesulide protected the small intestines against damage by MTX. Intestinal mucositis caused by MTX may be preventable by co-administered nimesulide.
Nonlinear Optimal Control for Parameter-Dependent Polynomial Nonlinear Systems

In this paper, we address the nonlinear optimal control problem for parameter-dependent nonlinear systems with polynomial vector fields. Based on the state dependent coefficient form, sufficient conditions to guarantee the closed-loop stability and bounded performance index are presented as state dependent linear matrix inequalities, which can be formulated as sum-of-squares based conditions and solved by semidefinite programming. A parameter-dependant Lyapunov function is adopted to reduce the conservativeness of the controller design.
A Novel Data Transfer Scheme of Smart Grid and DTN

In the network, combination of Delay Tolerant Network (DTN) and Smart Grid, the important parts are Electric Vehicles (EVs) and Charging Stations. When EVs stopped in signal blind area, they may not have chance to access the Internet in time. Based on this scenario, our work is to study the data transfer scheme about EVs under the Smart Grid. EVs may be either supplying or demanding nodes. We study the relationship between the demanding cars and the supplying ones, proposed a scheme to solve the data transfer problem, proposed that how many Throw Boxes should be deployed along the road.
A scalable approach to real-time Multiplayer Online in-game advertisement via Peer-to-Peer

Multiplayer Online Games (MOG) in-game advertisements require dynamic delivery of large images for potentially hundreds of concurrent users. We present an approach for a scalable advertisement image delivery mechanism using the BitTorrent Peer-to-Peer (P2P) protocol. Simulations were conducted comparing a client-server model and our proposed model, where each MOG player acts as a P2P node in the overall advertisement delivery system. We observed that even with 15 nodes, the client-server model exhibits scalability issues whilst our proposal has linear scalability. Furthermore, we have also illustrated that MOG players leaving or node failures does not impact our proposed architecture's scalability.
Aerosol remote sensing from moving platforms with the FUBISS radiometers

Aerosol particles have an important impact on the surface net radiation budget by direct scattering and absorption (direct aerosol effect) of solar radiation, and also by influencing cloud formation processes (semi-direct and indirect aerosol effects). To study the former, a multispectral multiangle spectrometer system for flexible use on moving platforms has been developed at the Institute for Space Sciences. It enables simultaneous measurements of the direct solar irradiance, the solar aureole radiance, and the zenith sky radiance in the UV, visible and NIR spectral region. So far, it has been used on various international campaigns, either mounted on a Cessna 207T, on the German research icebreaker FS Polarstern, or based on the ground.