Miracle-dz/UniFAR-FTUs huggingface dataset:
A new web based data mining exploration and reporting tool for decision makers

The current DSS tools are generally built as “desktop applications” and designed for the use of data mining experts. In this paper, design and implementation of ASMINER, a new web-based data mining exploration and reporting tool, is introduced. ASMINER enables both decision makers and also knowledge workers, exploring and reporting with three data mining techniques (decision trees, clustering and association rules mining), by presenting a scalable, user-friendly and fully web-based thin client data mining tool. The approach and the tools of ASMINER have a significant potential at giving an opportunity to knowledge workers to participate in decision making phases.
The Presidential Platform on Twenty-First Century Education Goals.

As social and economic problems change, so do the goals of education reformers. This content analysis of presidential debates transcripts, state of the union addresses, and education budgets from 2000 to 2015 reveals the ways in which presidents and presidential candidates have framed education goals thus far in the twenty-first century. Using Labaree’s (1997) framework of competing goals in American education, we found that democratic equality, social efficiency, and social mobility made their way into education discourse. Democratic equality occurred most frequently, followed by social efficiency, then social mobility. Presidents also used these goals in concert, applying symbolic language of equity to promote education policy initiatives framed as bolstering economic growth, America’s global competitiveness, and the opportunity for individuals to achieve the American Dream. Implications for federal education policy trends and frameworks for understanding the education goals of U.S. presidents in the 21 st century are discussed.
Rhodium-Catalyzed Addition of Organoboronic Acids to Aldehydes.

Highly inert to ionic additions to aldehydes, aryl- and 1-alkenylboronic acids succumb to a catalytic variant mediated by a [Rh(acac)(CO)2 ]-diphosphane complex in aqueous phase at 80-95°C to yield secondary alcohols [Eq. (a)]. A key step in the catalytic cycle is the transmetalation between the boron reagent and the rhodium complex. Ln =diphosphane (e.g. 1,1'-bis(diphenylphosphanyl)ferrocene); R=aryl, 1-alkenyl; R'=alkyl, aryl; acac=acetylacetonate.
Asynchronous Byzantine Consensus : Complexity , Resilience and Authentication ( Preliminary Version )

We present a consensus algorithm that tolerates Byzantine process failures and arbitrarily long periods of network asynchrony. Our algorithm is the first to match the general time-complexity lower bound of [14], for which we give a complete proof. When the necessary conditions for optimal communication latency are not met, our algorithm gracefully degrades and retains the time-complexity of previously known Byzantine consensus algorithms, albeit covering a wider range of system configurations. We prove that this graceful degradation cannot be achieved without using public-key cryptography (authentication) or tolerating less failures. While doing so, we state the first trade-off between the time-complexity of consensus, the underlying resilience, and authentication.
NCAA academic non-qualifiers: factors effecting graduation rates.

This study examined NCAA Division I men’s basketball initial academic non-qualifiers, their low graduation rate, and variables that increase these rates. While graduation rates and overall academic success of Division I student-athletes has, in fact, improved over the past 25 years (National Collegiate Athletic Association, 2009e), there is still much room for growth. Academic support systems as well as a coaching staff’s perceived communicated importance of academics appears to play a role in the student athlete success rate.
Edge Based Text Detection for Multi-purpose Application

Text detection plays a crucial role in various applications. In this paper we present an edge based text detection technique in the complex images for multi purpose application. The technique applied vertical Sobel edge detection and a newly proposed morphological technique that used to connect the edges to form the candidate regions. The technique has special advantage, by providing a distinguishable texture on the text area over the others. The connected components are then extracted using a purposed segmentation algorithm. Later all the candidate regions are verified to specify the text region. The propose techniques has been tested with different types of image acquired from different input sources and environment. The experimental result shows highly successful rate
Offline Speech Recognition Development - A Systematic Review of the Literature

This paper aims to present the state-of-the-art of speech recognition from a systematic review of the literature. For this, 222 papers from four digital repositories were examined. The research followed a methodology composed of questions of search, expression of search and criteria of inclusion and exclusion. After reading the abstract, introduction and conclusion, nine papers were selected. Based on the analysis of the selected papers, we observed that the research prioritizes the following topics: (i) solutions to reduce the error rate; (ii) neural networks for language models; and (iii) n-gram statistical models. However, no solution was offered to provide offline voice recognition on Android mobile devices. The information obtained is very useful in order to acquire knowledge to be used in the development of offline voice recognition in mobile devices. The techniques provide guidelines for the application of the best neural networks and mechanisms for reducing
Sampling for Passive Internet Measurement: A Review

Sampling has become an integral part of passive network measurement. This role is driven by the need to control the consumption of resources in the measurement infrastructure under increasing traffic rates and the demand for detailed measurements from applications and service providers. Classical sampling methods play an important role in the current practice of Internet measurement. The aims of this review are (i) to explain the classical sampling methodology in the context of the Internet to readers who are not necessarily acquainted with either, (ii) to give an account of newer applications and sampling methods for passive measurement and (iii) to identify emerging areas that are ripe for the application of statistical expertise.
A Survey of the Privacy Homomorphism in Wireless Sensor Networks

The applications of the Wireless Sensor Networks (WSNs) comprising of resource constrained sensor nodes are increasing day by day. However, the pervasive environments in which the WSNs are deployed and the criticality of the available resources therein make the applicability of the security protocols therein, non-trivial. Amongst various panaceas pursued in research, one of the attractive ones is using privacy homomorphism based secure data aggregation. Indeed one can find several algorithms based on either Symmetric Key Cryptography or Asymmetric Key Cryptography in the literature that supports either additive or multiplicative homomorphic encryption. In this paper, we attempt to survey the existing algorithms with a view to highlight the characteristics of the same. However not limiting ourselves to only theoretical review of the existing literature, we also implement the algorithms. Our work principally focuses only on the support for confidentiality and privacy, the solutions for supporting message integrity and entity authentication are beyond the purview of our survey in this paper.
Automatic Inspection of TFT-LCD Glass Substrates Using Optimized Support Vector Machines

Abstract The visual appearance of manufactured products is often one of the important quality attributes for certain types of products, which are mainly used for display purposes or used as the exterior part of other products. TFT-LCD (thin film transistor – liquid crystal display) glass substrates can be one of the representative cases. In such cases, visual quality (i.e., visual appearance) as well as the physical or mechanical quality attributes has to be controlled or maintained. This paper presents an industrial case study of a new machine vision methodology to manufacturing of TFT-LCD glass substrates. In this case study, we developed a classification model using support vector machine (SVM), optimized via the simulated annealing (SA) algorithm. We also used parallel genetic algorithm to reduce the number of features for classification. The results show that utilization of optimized SVM approach with SA in classification of TFT-LCD glass defects could be a viable alternative to manual classification in the TFT-LCD glass substrate industry.
The Pseudomonas aeruginosa Chp chemosensory system regulates intracellular cAMP levels by modulating adenylate cyclase activity

Multiple virulence systems in the opportunistic pathogen Pseudomonas aeruginosa are regulated by the second messenger signalling molecule adenosine 3′, 5′‐cyclic monophosphate (cAMP). Production of cAMP by the putative adenylate cyclase enzyme CyaB represents a critical control point for virulence gene regulation. To identify regulators of CyaB, we screened a transposon insertion library for mutants with reduced intracellular cAMP. The majority of insertions resulting in reduced cAMP mapped to the Chp gene cluster encoding a putative chemotaxis‐like chemosensory system. Further genetic analysis of the Chp system revealed that it has both positive and negative effects on intracellular cAMP and that it regulates cAMP levels by modulating CyaB activity. The Chp system was previously implicated in the production and function of type IV pili (TFP). Given that cAMP and the cAMP‐dependent transcriptional regulator Vfr control TFP biogenesis gene expression, we explored the relationship between cAMP, the Chp system and TFP regulation. We discovered that the Chp system controls TFP production through modulation of cAMP while control of TFP‐dependent twitching motility is cAMP‐independent. Overall, our data define a novel function for a chemotaxis‐like system in controlling cAMP production and establish a regulatory link between the Chp system, TFP and other cAMP‐dependent virulence systems.
Effects of Providing High-Fat versus High-Carbohydrate Meals on Daily and Postprandial Physical Activity and Glucose Patterns: a Randomised Controlled Trial

We determined the effects of altering meal timing and diet composition on temporal glucose homeostasis and physical activity measures. Eight sedentary, overweight/obese men (mean ± SD, age: 36 ± 4 years; BMI: 29.8 ± 1.8 kg/m2) completed two × 12-day (12-d) measurement periods, including a 7-d habitual period, and then 5 d of each diet (high-fat diet [HFD]: 67:15:18% fat:carbohydrate:protein versus high-carbohydrate diet [HCD]: 67:15:18% carbohydrate:fat:protein) of three meals/d at ±30 min of 0800 h, 1230 h, and 1800 h, in a randomised order with an 8-d washout. Energy intake (EI), the timing of meal consumption, blood glucose regulation (continuous glucose monitor system (CGMS)), and activity patterns (accelerometer and inclinometer) were assessed across each 12-d period. Meal provision did not alter the patterns of reduced physical activity, and increased sedentary behaviour following dinner, compared with following breakfast and lunch. The HCD increased peak (+1.6 mmol/L, p < 0.001), mean (+0.5 mmol/L, p = 0.001), and total area under the curve (+670 mmol/L/min, p = 0.001), as well as 3-h postprandial meal glucose concentrations (all p < 0.001) compared with the HFD. In overweight/obese males, the provision of meals did not alter physical activity patterns, but did affect glycaemic control. Greater emphasis on meal timing and composition is required in diet and/or behaviour intervention studies to ensure relevance to real-world behaviours.
Architectural and QoS Aspects of Personal Networks

Personal networks (PNs) are future communication systems that combine wireless and infrastructure based networks to provide users a variety of services anywhere and anytime. PNs introduce new design challenges due to the heterogeneity of the involved technologies, the need for self-organization, the dynamics of the PN composition, the application-driven nature, the co-operation with infrastructure-based networks, and the security hazards. This paper discusses the challenges of security, service discovery and QoS provisioning in designing self-organized PNs and combines them all into an integrated architectural framework
Interpreting the galaxy group CG J1720-67.8 through evolutionary synthesis models

This paper is part of a series devoted to a detailed analysis o f the properties of the compact group CG J1720-67.8 and its member galaxies with the aim of sheding light on its evolutionary history. Here we interpret our previously publi shed observational results through comparison with chemically consistent spectrophotometric evolutionary synthesis models in order to gain further clues to the evolutionary history of the gala xies in this group. In order to reduce the number of free parameters, we considered the simplest case of a single burst of star formation turned on after 11 - 12 Gyr of undisturbed galaxy evolution. However, we also briefly explore the effect of multiple, interaction-induced bursts of star format ion. We find that the two spiral galaxies are consistent with interaction induced strong st arbursts switched on∼ 40 to 180 Myr ago and still active. For the early-type galaxy a < 0.9 - 1.3 Gyr old star formation event (depending on the considered model) appears consistent with observed properties. The comparison with models cannot rule out the possibility that this galaxy is already the result o f a merger. Alternatively, a star formation episode in this gal axy might have been triggered by a gas inflow as a consequence o f the interaction with the companion galaxies. Estimates of galaxy masses are derived from the comparison with the models. Finally our results are discussed in comparison with other well studied poor galaxy systems.
Estimate primary user localization using cognitive radio networks

The location awareness of the primary user is one of the essential features of cognitive radios. The Location information of the primary user in cognitive radio can be used to assist the communication among secondary users outside the transmission coverage area of primary users or to track the primary users. A cognitive radio network based localization scheme is considered in this paper uses received signal strength (RSS) method to estimate the position and effective isotropic radiated powers of the transmitter source emitting this signal. In our investigation the simulation result for RSS-based localization show the impacts of number of sampling, nodes, sigma variable in the shadowing channel model on mean square error for position estimation and average power estimation error were illustrated.
Business-IT Alignment within the Management of Business Informatics Model

The paper focuses on a current highly discussed subject of interest related to Business-IT alignment. The objective of this research is to examine recently developed framework for IT management, the Management of Business Informatics (MBI) model, from the Business-IT alignment point of view and show that by using the MBI model Business-IT alignment can be better supported. As a result of the analysis several areas addressing Business-IT alignment within the MBI model are presented, e.g. communication and cooperation between company managers and IT managers, tasks aimed at the definition of the relations between the IT and business management, definition of metrics, development and deployment of analytical application.
Drug and Cell Type-Specific Regulation of Genes with Different Classes of Estrogen Receptor β-Selective Agonists

Estrogens produce biological effects by interacting with two estrogen receptors, ERα and ERβ. Drugs that selectively target ERα or ERβ might be safer for conditions that have been traditionally treated with non-selective estrogens. Several synthetic and natural ERβ-selective compounds have been identified. One class of ERβ-selective agonists is represented by ERB-041 (WAY-202041) which binds to ERβ much greater than ERα. A second class of ERβ-selective agonists derived from plants include MF101, nyasol and liquiritigenin that bind similarly to both ERs, but only activate transcription with ERβ. Diarylpropionitrile represents a third class of ERβ-selective compounds because its selectivity is due to a combination of greater binding to ERβ and transcriptional activity. However, it is unclear if these three classes of ERβ-selective compounds produce similar biological activities. The goals of these studies were to determine the relative ERβ selectivity and pattern of gene expression of these three classes of ERβ-selective compounds compared to estradiol (E2), which is a non-selective ER agonist. U2OS cells stably transfected with ERα or ERβ were treated with E2 or the ERβ-selective compounds for 6 h. Microarray data demonstrated that ERB-041, MF101 and liquiritigenin were the most ERβ-selective agonists compared to estradiol, followed by nyasol and then diarylpropionitrile. FRET analysis showed that all compounds induced a similar conformation of ERβ, which is consistent with the finding that most genes regulated by the ERβ-selective compounds were similar to each other and E2. However, there were some classes of genes differentially regulated by the ERβ agonists and E2. Two ERβ-selective compounds, MF101 and liquiritigenin had cell type-specific effects as they regulated different genes in HeLa, Caco-2 and Ishikawa cell lines expressing ERβ. Our gene profiling studies demonstrate that while most of the genes were commonly regulated by ERβ-selective agonists and E2, there were some genes regulated that were distinct from each other and E2, suggesting that different ERβ-selective agonists might produce distinct biological and clinical effects.
An indexing scheduler for delay constrained scheduling with applications to IEEE 802.16

We consider the problem of scheduling users on the downlink of a Time Division Multiplexed(TDM) system with constraints on the average packet delays over a fading wireless channel. Our objective is to maximize the sum throughput with constraints on the user delays. Due to the difficulty in computing optimal policy, we propose a suboptimal scheduling algorithm which is based on computing appropriate indices and scheduling the user with the highest index. Our simulations for the IEEE 802.16 system indicate that our algorithm satisfies the delay constraints of the users and is highly throughput efficient.
The neurobiological mechanisms of transcranial direct current stimulation : insights from human neuroimaging and psychophysics

The research aimed to investigate the neurobiological basis of transcranial direct current stimulation (tDCS); a neuromodulation technique capable of inducing prolonged changes in behavioural performance. The past 15 years have seen a dramatic increase in tDCS-oriented studies, yet the underpinnings of the method are not completely understood. Consequently, this series of experiments was designed to investigate the mechanisms that contribute to the effects of the method. Focusing on neuroimaging, modulations of excitatory and inhibitory neurochemicals were assessed using Magnetic Resonance Spectroscopy (MRS); incorporating distinct spectral editing sequences to define the precise role of inhibitory neurotransmission. Additionally, concurrent DC stimulation and Magnetoencephalography (MEG) was developed, which permitted the novel investigation of excitatory and inhibitory processes via the influence of tDCS on electrophysiological responses in the motor and visual systems. This simultaneous tDCS-MEG investigation is one of only a few existing studies and was the first such endeavour by a group based in the United Kingdom. Finally, a unique psychophysical approach was adopted whereby variations of a vibrotactile adaptation task were utilised to assess the effects of tDCS on amplitude discrimination ability. The paradigms used were specifically chosen due to their physiological similarity to tDCS, thereby enabling inferences on the underpinnings of the method on the basis of changes in somatosensory task performance. These studies provided varying degrees of support for the neurobiological mechanisms proposed in the existing literature, most likely reflecting the influence of distinctions in stimulation protocols and the presence of individual difference factors thought to modify responses to stimulation. Consequently, in addition to the established insights regarding the underpinnings of tDCS, valuable perspectives on the optimisation of stimulation-based methodology were achieved by conducting the outlined investigations.
Pseudo-CMOS: A novel design style for flexible electronics

Flexible electronics have attracted much attention since they enable promising applications such as low-cost RFID tags and e-paper. Thin-film transistors (TFTs) are considered as an ideal candidate to implement flexible electronics on low-cost substrates. Most TFT technologies, however, have only mono-type - either n- or p-type - devices and thus modern design technologies for silicon-based electronics cannot be directly applied. In this paper, we propose a novel design style Pseudo-CMOS for flexible electronics that uses only mono-type TFTs while achieving comparable performance with the complementary-type designs. The manufacturing cost and complexity can therefore be significantly reduced while the circuit yield and reliability are also enhanced with the built-in capability of post-fabrication tuning. Some standard cells have been designed and fabricated in p-type organic and n-type InGaZnO (IGZO) TFT technologies which successfully verify the superiority of the proposed Pseudo-CMOS design style. To the best of our knowledge, this is the first design solution that has proven superior performance for both types of TFT technologies.
Computing watermark capacity in images according to their quad tree

Determining the capacity of watermark for images is a complex task. This capacity may be influenced by many factors such as the content of image and also the strength of watermark. In some recent works the image content has been considered for calculation of watermark capacity. One such approach is to use the noise visibility function (NVF) introduced in (Voloshynovsky, et al., 1999). In this paper we introduced a new method for finding NVF according to the quad tree representation of image instead of using pixel neighborhood data. Our experimental results showed that the depth of a pixel in image quad tree represents much information about the pixel and its maximum allowable distortion compared to pixel neighborhood data as used by the existing NVF computing method. Our method for determining NVF, gave similar results for image capacity compared to the approach based on original NVF calculation as given in (F. Zhang and H. Zhang, June 2004)