Miracle-dz/UniFAR-FTUs huggingface dataset:
When Hearing Lips and Seeing Voices Becomes Perceiving Speech : Auditory-Visual Integration in Lexical Access

In the McGurk Effect, a visual stimulus can affect the perception of an auditory signal, suggesting integr ation of the auditory and visual streams. However, it is unclear when in speech processing this auditory-visual integration occurs. The present study used a semantic priming paradigm to investigate whether integration occurs before, duri ng, or after access of the lexical-semantic network. Semantic as sociates of the un-integrated auditory signal were activated when the auditory stream was a word, while semantic associat es of the integrated McGurk percept (a real word) were activa ted when the auditory signal was a nonword. These results su ggest that the temporal relationship between lexical access an d integration depends on the lexicality of the audito ry stream.
tmospheric dry deposition of polychlorinated dibenzo-p-dioxins and ibenzofurans in the vicinity of municipal solid waste incinerators

This study focuses on the atmospheric dry deposition flux of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) in the vicinity of the two municipal solid waste incinerators (MSWIs) located in southern Taiwan. PCDD/Fs in ambient air were taken and analyzed for seventeen 2,3,7,8-substituted PCDD/Fs during November 2004 and July 2005. Results show that the mean concentrations of PCDD/Fs in the ambient air near MSWI-GS and MSWI-RW were 0.090 and 0.097 pg I-TEQ/Nm3, respectively. Dry deposition fluxes of total PCDD/Fs were 18.0 and 23.5 pg I-TEQ/(m2 d) in the ambient air near MSWIGS and MSWI-RW, respectively, which were considerably higher than that measured in Guangzhou, olychlorinated dibenzofurans tmospheric dry deposition arametric sensitivity China. Annual dry deposition fluxes of total PCDD/Fs in the ambient air near MSWI-GS and MSWIRW were 189 and 217 ng/(m2 year), respectively, which were also much higher than dry deposition of total PCDD/Fs to the Atlantic Ocean. The results of the present study strongly suggest that exposure to PCDD/Fs in this area should be reduced. In addition, parametric sensitivity shows that dry deposition flux of PCDD/Fs is most sensitive to dry deposition velocity of the particle-phase, followed by air temperature and concentration of total suspended particulate but least sensitive to dry deposition velocity of the
CORPORATE REPUTATION : EMPIRICAL TESTS OF THE MEASUREMENT AND LINK TO PRIOR FINANCIAL PERFORMANCE IN THE MALAYSIAN BANKING INDUSTRY

Corporate reputation is an interesting intangible asset for a corporation. Recently, its link to financial performance seems to be important in the banking industry. Prior financial performance is hypothesized as an antecedent, a variable that influence the reputation of a company. The purpose of this paper is to empirically examine corporate reputation measurement and the link of prior financial performance to corporate reputation in the Malaysian banking industry. The Reputation Quotient is used in this paper as a measurement of corporate reputation. It is because the Reputation Quotient has been cross cultural tested among countries in the United States, Europe, and Australia. This paper resorts to the typical CFA and SEM tests. The CFA has resulted with a success structure of corporate reputation dimensions and prior financial performance. These include first order and second order tests of Reputation Quotient dimensions and financial performance. The dimensions were successfully accepted the Reputation Quotient as a measurement of corporate reputation. Also, the SEM test of the influence of prior financial performance on corporate reputation has good fit indexes. Empirical results from the SEM are found to support the significant influence of prior financial performance on corporate reputation. This paper is of value by uncovering the issue of the corporate reputation measurement test and influence of prior financial performance on corporate reputation from Malaysian banking stakeholders’perspective that was never explored before. It is a step forward in studies on the antecedent of corporate reputation in Malaysia.
An Introduction to Botnet Attacks and it’s Solutions

Usually though, when people talk about botnets, they are talking about a group of computers infected with a malicious kind of robot software, the bots, which present a security threat to the computer owner. Once the robot software (also known as malicious software or malware) has been successfully installed in a computer, the computer becomes a zombie or a drone, unable to resist the bot commander’s commands. This paper studies the effectiveness of monitoring lookups to a DNS-based black hole list (DNSBL) to expose botnet membership. We perform counterintelligence based on the insight that botmasters themselves perform DNSBL lookups to determine whether their spamming bots are blacklisted. Using heuristics to identify which DNSBL lookups are perpetrated by a botmaster performing such reconnaissance, we are able to compile a list of likely bots. This paper studies the prevalence of DNSBL reconnaissance observed at a mirror of a well-known blacklist for a 45-day period, identifies the means by which bot masters are performing reconnaissance, and suggests the possibility of using counter-intelligence to discover likely bots. We find that bots are performing reconnaissance on behalf of other bots. Based on this finding, we suggest counterintelligence techniques that may be useful for early bot detection. A botnet (also known as a zombie army) is a number of Internet computers that, although their owners are unaware of it, have been set up to forward transmissions (including spam or viruses) to other computers on the Internet. Any such computer is referred to as a zombie ineffect, a computer "robot" or "bot" that serves the wishes of some master spam or virus originator. Most computers compromised in this way are home-based. According to a report today from The Associated Press, Internet security company Prevx recently discovered a Web site that was being used as a storage facility for data stolen from 160K infected computers, and the discovery offers an interesting case study. The storage site was hosted in the Ukraine and its contents showed that the botnet was harvesting data. Information found included passwords, social security numbers, credit card numbers, addresses, telephone numbers and other personal information; quite a treasure chest if you're into identity theft. According to the article, both government and bank sites had also been compromised. The Associated Press contacted one bank customer whose Social Security number and other personal details were compromised during the attack, only to learn that he hadn't been notified by the bank.
MODELING INTRACELLULAR REPLICATION OF FLAVIVIRUSES

Recent technological advances have improved our knowledge of the replication process of Flaviviruses; however direct measurement of virus replication in the laboratory can be cost-prohibitive. Mathematical models of the within-host dynamics of virus replication can be useful for predicting virus load, which can affect virulence, transmission rate and rate of molecular evolution [1, 2]. In the case of arboviruses, most mathematical models have focused on transmission dynamics between hosts and vectors. Within-host replication of arboviruses (particularly Flaviviruses) has not been well-characterized mathematically. In this study, we model the replication of WNV in cell culture and generate testable predictions about the spread of the virus within a host. We study intracellular population dynamics of virus under a set of biologically sound parameter values and use statistical tools to quantify estimability of model parameters under distinct scenarios. The resulting mathematical model can also be applied in a clinical setting, where there is a growing body of work on the within-host dissemination of Flaviviruses.
A Review : Methods of Load Balancing on Cloud Computing

Cloud registering shares information and give numerous assets to clients. Clients pay just for those assets as much they utilized. Cloud computing stores the information and disseminated assets in the open condition. The measure of information stockpiling increments rapidly in open condition. Along these lines, stack adjusting is a primary test in cloud condition. Load adjusting is dispersed the dynamic workload over various hubs to guarantee that no single hub is over-burden. It helps in legitimate usage of assets . It additionally enhance the execution of the framework. Many existing calculations give stack adjusting and better asset use. There are different composes stack are conceivable in Cloud computing like memory, CPU and system stack. Load adjusting is the way toward finding over-burden hubs and after that exchanging the additional heap to different hubs.
NEW KID ON THE BLOCK : PERCEPTION OF AUTONOMY

Education is a key factor for social and economic development of the country due to which the Government, UGC and various commissions reviewed education system and suggested various reforms to overcome the problems faced by the system and to give impetus to quality education. Autonomy is looked at as a game changer in higher education.The reasons to go for autonomy are many. While lots of institutions opting for autonomy, it is interesting to see how many of them have thorough understanding of autonomy. Whether autonomy is taken as feather in the cap, status symbol or as an outcome of insightful decision will direct the path towards future of the institution. The process followed for shifting from affiliated to autonomous system becomes important. Preparing the system as per the requirement of the structure of autonomy is a challenging task.How this task is completed depends upon the perception of the stakeholders about the process and the system of autonomy. While studying the process of autonomy in selected educational institutions, the researcher realised the difference in the perception of the administrators and faculty members in institutions operating at different levels of autonomy. Therefore, it is interesting to understand the perception of the new entrant institution in autonomous system as this perception is going to guide the implementation of the whole process of autonomy.The present case study research studied educational institutions which are in their first phase of autonomy.
PageRank + + : European Soccer Team Ranking Prediction

Soccer is the most popular sport all over the world, especially in Europe. e prediction of soccer competition results is always an aractive topic. However, traditional ranking method, Network of Networks (NoN), can only capture the similarity between players or teams rather than the win-lose relationship[7]. Broadly used method Deep Neural Network (DNN) cannot converge within limited dataset[10]. In this report, we proposed a graph-based method PageRank++ to predict the rank of teams in a league. In order to evaluate our results, we choose True-Skill ranking algorithm and Standard ranking algorithm as ground truth. Our algorithm converges faster without using large dataset compared with DNN. Moreover, it obtains higher accuracy compared with baselines, Naive Rank and Naive PageRank.
Resource A method for using direct injection of plasmid DNA to study cis-regulatory element activity in F 0 Xenopus embryos and tadpoles

The ability to express exogenous reporter genes in intact, externally developing embryos, such as Xenopus, is a powerful tool for characterizing the activity of cis-regulatory gene elements during development. Although methods exist for generating transgenic Xenopus lines, more simplified methods for use with F0 animals would significantly speed the characterization of these elements. We discovered that injecting 2-cell stage embryos with a plasmid bearing a φC31 integrase-targeted attB element and two dual β-globin HS4 insulators flanking a reporter transgene in opposite orientations relative to each other yielded persistent expression with sufficiently high penetrance for characterizing the activity of the promoter without having to coinject integrase RNA. Expression began appropriately during development and persisted into swimming tadpole stages without perturbing the expression of the cognate endogenous gene. Coinjected plasmids having the same elements but expressing different reporter proteins were reliably coexpressed within the same cells, providing a useful control for variations in injections between animals. To overcome the high propensity of these plasmids to undergo recombination, we developed a method for generating them using conventional cloning methods and DH5α cells for propagation. We conclude that this method offers a convenient and reliable way to evaluate the activity of cis-regulatory gene elements in the intact F0 embryo. & 2014 Elsevier Inc. All rights reserved.
Preparation and characterization of glass fiber / polyimide / SiO 2 composite aerogels with high specific surface area

Nature 2018 ABSTRACT A glass fiber/polyimide (PI)/SiO2 composite aerogel (FPS aerogel) was prepared by dispersing glass fibers in PI/SiO2 hybrid sol derived from 4,4 0oxydianiline (ODA), pyromellitic dianhydride (PMDA) and tetraethoxysilane (TEOS) with supercritical CO2 fluid drying technology. The SiO2 primary particles were combined with PI chains which improved the strength of the composite aerogel, and the glass fibers inhibited the shrinkage deformation during the drying process by acting as the supporting skeletons. Effects of PI contents on the density, shrinkage, thermal conductivity and mechanical properties of the FPS aerogels were investigated. The as-prepared FPS aerogels had low densities (0.116–0.145 g/cm), high specific surface area (844–963 m/g), low thermal conductivity (0.0268–0.0280 W m K at room temperature) and relatively high compression strength (0.12–0.29 MPa) with integrated nanostructures, fewer powders and stronger fiber/aerogel matrix interfaces. The density, the shrinkage, the thermal conductivity and the compression strength of the FPS aerogels increased with the increasing PI content. This research provided a new method employing PIs and glass fibers as strengthening phases to improve the mechanical properties of SiO2-based aerogels.
The structure of impulsivity among prisoners Impulsivity among adult prisoners: A confirmatory factor analysis study of the Barratt

Impulsivity among adult prisoners: A confirmatory factor analysis study of the Barratt Impulsivity Scale. Abstract The current study explored the structure of a commonly applied impulsivity measure, the Barratt Impulsivity Scale [BIS-11], in a sample likely to include elevated levels of impulsivity (i.e. a prison sample). The main aim was to assess whether the original factor structure of the BIS could be confirmed in a large sample (n = 1,103), comprising two subsamples of adult men (n = 383 and 250), and adult women (n = 250 and 220) prisoners. It was predicted that the three factor solution originally proposed (i.e. motor; attentional; non-planning) would be replicated; and produce a multidimensional structure consistent across sex. Although exploratory analysis indicated a three factor solution, the nature of the factors was different to those originally proposed for the BIS-11 although there was some convergence for ‘behavioural [motor] impulsivity’. A different factor structure was preferred for women. The importance of assessing in detail the structure of commonly applied research measures using confirmatory approaches is outlined, with implications for research noted.
Análisis de las técnicas de aprendizaje automático aplicadas en la ingeniería de requerimientos de software: un mapeo sistemático de la literatura

Resumen. En este trabajo se presenta un mapeo sistemático de la literatura, a los fines de proporcionar una revisión comprensiva de las investigaciones que detallan la aplicación de las técnicas de Aprendizaje Automático (AA) en el área de Ingeniería de Requerimientos (IR) para enriquecer técnicas y procedimientos tradicionales. Los resultados obtenidos destacan propuestas alentadoras orientadas principalmente, a la predicción de fallas y clasificación de los requisitos de software. Sin embargo, se detectó que los estudios que utilizan técnicas de AA en sus propuestas, aún precisan de una mayor validación empírica para ser ampliamente aceptadas y aplicadas en entornos de desarrollo de software. Consecuentemente, esta situación denota la necesidad de continuar investigando y profundizando sobre posibles aplicaciones del AA en el área de IR.
Optical Frequency Comb Generation Using CMOS Compatible Cascaded Mach-Zehnder Modulators Student Paper

We demonstrate flexible optical frequency comb generation using two cascaded push-pull Mach-Zehnder modulators fabricated using a CMOS-compatible process. The optical comb has nine phase-locked frequency lines spaced at 5 GHz or 6 GHz with a signal-to-noise ratio of 40 dB after optical amplification and filtering. The envelope of the comb has a rectangular-shape and the corresponding time-domain waveform fits well with sincshaped Nyquist pulses having pulse widths of 17 ps or 20 ps.
MATCHING PURCHASING MATURITY AND SUPPLIER RELATIONS HIP MANAGEMENT CAPABILITIES

preview 1 MATCHING PURCHASING MATURITY AND SUPPLIER RELATIONS HIP MANAGEMENT CAPABILITIES Katrina Lintukangas, Doctoral Student Lappeenranta University of Technology, School of Bu siness P.O. Box 20, 53851 Lappeenranta, Finland katrina.lintukangas@lut.fi
TEN BK Channels in the Vertebrate Inner Ear

The perception of complex acoustic stimuli begins with the deconstruction of sound into its frequency components. This spectral processing occurs first and foremost in the inner ear. In vertebrates, two very different strategies of frequency analysis have evolved. In nonmammalian vertebrates, the sensory hair cells of the inner ear are intrinsically electrically tuned to a narrow band of acoustic frequencies. This electrical tuning relies on the interplay between BK channels and voltage-gated calcium channels. Systematic variations in BK channel density and kinetics establish a gradient in electrical resonance that enables the coding of a broad range of acoustic frequencies. In contrast, mammalian hair cells are extrinsically tuned by mechanical properties of the cochlear duct. Even so, mammalian hair cells also express BK channels. These BK channels play critical roles in various aspects of mammalian auditory signaling, from developmental maturation to protection against acoustic trauma. This review summarizes the anatomical localization, biophysical properties, and functional contributions of BK channels in vertebrate inner ears. Areas of future research, based on an updated understanding of International Review of Neurobiology, Volume 128 # 2016 Elsevier Inc. ISSN 0074-7742 All rights reserved. http://dx.doi. org/10.1016/bs.irn. 2016.03. 016 369 Author's personal copy
PREPARATION OF NEW PHOTOPOLYMERIZABLE HYBRID NANOCOMPOSITES BASED ON URETHANE MACROMERS AND Fe 3 O 4 NANOPARTICLES

In this work, a photopolymerizable urethane monomer of oligomer type with flexible spacers consisting of polytetrahydrofuran was used in tandem with commercial photoreactive monomers in the preparation of polymeric hybrid nanocomposites reinforced with Fe3O4 nanoparticles taken in variable proportions (between 0.05 and 0.5 wt. %). For the prepared experimental formulations, particular characteristics such as photoreactivity, surface and mechanical properties, as well as the magnetization profiles were investigated by specific measurements. Through the incorporation of magnetite nanoparticles before UV-curing of monomer mixtures the maximum tensile strength increased, whereas the elongation at break decreased. This study describes the possibility to prepare magnetic coatings able to be deposited onto the surfaces of various materials.
Experience from Today for the Stroke Care of the Future

Time is of the essence to prevent brain damage in the context of acute ischaemic stroke, yet most patients do not receive specialist care or early reperfusion therapy in the setting of acute ischaemic stroke. In order to increase the number of patients treated in stroke-ready hospitals and optimise the quality of treatment in all existing stroke centres, the ANGELS (Acute Networks Striving for Excellence in Stroke) Initiative was established in 2015. This article summarizes the experiences of different countries in stroke unit planning and quality monitoring presented at a symposium at the 4th European Stroke Organization Conference (ESOC) in May 2018 in Gothenburg, Sweden.
Study of WiMAX Based Communication Channel Effects on the Ciphered Image Using MAES Algorithm

Protection of multimedia information from different types of attackers and send it over communication channels has become important for people and governments. The form of reconstructed image from an actual transmission channel is an important challenge faces the ciphering algorithms. MAES algorithm is an important modified version of AES algorithm used to cipher an image with high security level and low computation cost. This paper presents an study of Channel effects on MAES ciphering algorithm. An encrypted image by MAES is transmitted and received over WiMAX standard then check its features. Comparison between original and reconstructed versions of secret image was done. Many parameters such as visual scene, histogram analysis, correlation coefficients and entropy were used to achieve this comparison. The results of study achieved in this work proved that the ciphered algorithm is strong against WiMAX channel problems especially when the SNR of the channel increased.
Efficient Visual Dialog Policy Learning via Positive Memory Retention

This paper is concerned with the training of recurrent neural networks as goaloriented visual dialog agents using reinforcement learning. Training such agents with policy gradients typically requires a large amount of samples. However, the collection of the required data in form of conversations between chat-bots and human agents is time-consuming and expensive. To mitigate this problem, we describe an efficient policy gradient method using positive memory retention, which significantly increases the sample-efficiency. We show that our method is 10 times more sample-efficient than policy gradients in extensive experiments on a new synthetic number guessing game. Moreover, in a real-word visual object discovery game, GuessWhat? , the proposed method is twice as sample-efficient as policy gradients and shows state-of-the-art performance.
Societal Issues in Machine Learning: When Learning from Data is Not Enough

It has been argued that Artificial Intelligence (AI) is experiencing a fast process of commodification. Such characterization is on the interest of big IT companies, but it correctly reflects the current industrialization of AI. This phenomenon means that AI systems and products are reaching the society at large and, therefore, that societal issues related to the use of AI and Machine Learning (ML) cannot be ignored any longer. Designing ML models from this human-centered perspective means incorporating human-relevant requirements such as safety, fairness, privacy, and interpretability, but also considering broad societal issues such as ethics and legislation. These are essential aspects to foster the acceptance of ML-based technologies, as well as to ensure compliance with an evolving legislation concerning the impact of digital technologies on ethically and privacy sensitive matters. The ESANN special session for which this tutorial acts as an introduction aims to showcase the state of the art on these increasingly relevant topics among ML theoreticians and practitioners. For this purpose, we welcomed both solid contributions and preliminary relevant results showing the potential, the limitations and the challenges of new ideas, as well as refinements, or hybridizations among the different fields of research, ML and related approaches in facing real-world problems involving societal issues.