Miracle-dz/UniFAR-FTUs huggingface dataset:
RESISTANCE AND ACCLIMATION POTENTIAL TO THERMAL STRESSES IN ASSOCIATION OF BODY COLOR PHENOTYPES OF D . MELANOGASTER

Insects face varying temperatures daily and seasonally, so that natural populations are exposed to heat or cold stress and these thermal fluctuations impose selection pressure on organisms. Populations of D.melanogaster collected from three highland and lowland localities. In the present work, motality time (LT 100) after heat stress was more for lowland populations as compared with flies of highland localities but the results were reversed when mortality was measured after cold stress. Further, significant trait associations between percent melanisation and thermo tolerance were evident for both sexes of different geographical populations of D. melanogaster.
Developing a dynamic web recommendation system based on incremental data mining

Web recommendation systems are used to assist the user to access the most appropriate web pages that can satisfy their needs. This paper provides the web recommendation system which is based on incremental database. We have proposed a novel algorithm, called modified IncSpan for the effectual mining of the sequential patterns from the incremental database. The modified IncSpan algorithm can be able to discover the sequential patterns from the incremental database based on the sequential patterns obtained from the insert and append database and the closed sequential patterns are obtained from the resultant sequential patterns.
Intact Perceptual Priming in a Patient with Damage to the Anterior Inferior Temporal Lobes

We conducted three experiments to examine whether the anterior portion of the inferior temporal (IT) lobe is involved in the processing of visual objects in humans. In monkeys, damage to this region results in severe deficits in perception and in memory for visual objects. Our study was designed to examine both these processes in a patient (DM) with bilateral damage to the anterior portion of the inferior temporal lobe. Neuropsychological examination revealed a significant semantic impairment and a mild deficit in the discrimination of familiar objects from nonobjects. Despite these difficulties, the results of several studies indicated that DM was able to form and retain descriptions of the structure of objects. Specifically, DM showed normal perceptual priming for familiar and novel objects on implicit memory tests, even when the objects were transformed in size and left-right orientation. These results suggest that the anterior IT is not'involved in (1) the storage of pre-existing structural descriptions of known objects, (2) the ability to create new structural descriptions for novel objects, and (3) the ability to compute descriptions that are invariant with respect to changes in size and reflection. Instead, the anterior IT appears to provide the interface between structural descriptions of objects and their meanings.
Backward stochastic differential equations with reflection and Dynkin games

We establish existence and uniqueness results for adapted solutions of backward stochastic differential equations (BSDE's) with two reflecting barriers, generalizing the work of El Karoui, Kapoudjian, Pardoux, Peng and Quenez. Existence is proved first by solving a related pair of coupled optimal stopping problems, and then, under different conditions, via a penalization method. It is also shown that the solution coincides with the value of a certain Dynkin game, a stochastic game of optimal stopping. Moreover, the connection with the backward SDE enables us to provide a pathwise (deterministic) approach to the game.
Ear and fingerprint biometrics for personal identification

Multimodal biometrics provides ultra-secure authentication using multiple biometric traits. In this paper, ear and fingerprint biometrics are used for the personal identification. A novel technique of edge interaction point detection (EIPD) is used to determine the ear features. Fingerprint features are identified by line based connected component analysis and its feature vectors are generated using EIPD system. Fusion at the feature level is carried out through concatenation for features. Neural network based back propagation network is used for an identity verification system. As a first level of verification, matching is performed using ear biometrics alone. At this level, with horizontal matrix method 88% GAR and with the combination of horizontal and vertical matrix 92% GAR is achieved. In second level of verification, feature vector of fused matrices of ear and fingerprint is used and 100% GAR is obtained.
Building an online collaborative platform to advance creativity

Online interactive and social networking can play a vital role in cultivating an ‘unspoken’ cyber culture that may shape users' opinions, sense of belonging, and values amongst the youths. As youths immerse themselves in using sophisticated interactive media, they are not only articulating ideas and thoughts; they are also sharing their beliefs and values, hence influencing others to adopt a new cyber culture. Indeed, participatory online culture describes a community which offers support and mentorship to members as they feel they are connected to others and that their contributions matter. This paper proposes an online collaborative framework to provide youths a fun and innovative platform to communicate, collaborate and create via simple animation and story-telling techniques. In providing youths a new avenue for expressing their artistic talents in an informal environment, we hope to understand the context in which they use social media to form a popular culture.
An Exploratory Investigation of the Fundamental Determinants of National Equity Market Returns

This paper studies average and conditional expected returns in national equity markets, and their relation to a number of fundamental country attributes. The attributes are organized into three groups. The first is relative valuation ratios, such as price-to-book-value, cash-flow, earnings and dividends. The second group measures relative economic performance and the third measures industry structure. We find that average returns across countries are related to the volatility of their price-to-book ratios. Predictable variation in returns is also related to relative gross domestic product, interest rate levels and dividend-price ratios. We explore the hypothesis that cross-sectional variation in the country attributes proxy for variation in the sensitivity of national markets to global measures of economic risks. We test single-factor and two-factor models in which countries' conditional betas are assumed to be functions of the more important fundamental attributes.
Motility Screen Identifies Drosophila IGF-II mRNA-Binding Protein—Zipcode-Binding Protein Acting in Oogenesis and Synaptogenesis

The localization of specific mRNAs can establish local protein gradients that generate and control the development of cellular asymmetries. While all evidence underscores the importance of the cytoskeleton in the transport and localization of RNAs, we have limited knowledge of how these events are regulated. Using a visual screen for motile proteins in a collection of GFP protein trap lines, we identified the Drosophila IGF-II mRNA-binding protein (Imp), an ortholog of Xenopus Vg1 RNA binding protein and chicken zipcode-binding protein. In Drosophila, Imp is part of a large, RNase-sensitive complex that is enriched in two polarized cell types, the developing oocyte and the neuron. Using time-lapse confocal microscopy, we establish that both dynein and kinesin contribute to the transport of GFP-Imp particles, and that regulation of transport in egg chambers appears to differ from that in neurons. In Drosophila, loss-of-function Imp mutations are zygotic lethal, and mutants die late as pharate adults. Imp has a function in Drosophila oogenesis that is not essential, as well as functions that are essential during embryogenesis and later development. Germline clones of Imp mutations do not block maternal mRNA localization or oocyte development, but overexpression of a specific Imp isoform disrupts dorsal/ventral polarity. We report here that loss-of-function Imp mutations, as well as Imp overexpression, can alter synaptic terminal growth. Our data show that Imp is transported to the neuromuscular junction, where it may modulate the translation of mRNA targets. In oocytes, where Imp function is not essential, we implicate a specific Imp domain in the establishment of dorsoventral polarity.
Research on the Framework Integrated by Scalable Components

According to the scalable and customizable requirements of the Automated Testing Tools and Evaluation System (ATTES), the framework integrated by scalable components is introduced. All of the functions in the ATTES are developed by components. Management modules for installing components, uninstalling components and enabling/disabling sub-functions, boundless menu automatic generation, and customizable menu name are supported in this framework. Based on these, users can expand and customize ATTES according to their requirements. Characterized by the unlimited menu expansion without modifying the source code, the integration framework improves the flexibility of the integrated components in ATTES. Using XML, the specification of information interacting among components or between ATTES and other systems is defined. For the dynamic menu structure, the framework uses a binary search tree in order to speed up the depth search, establishes the table for rapid positioning to improve the width search speed, and introduces fast cache to reduce the response time of the component functions which are used highly frequently.
A novel inter-scale correlation image denoising method based on Dual-tree M-band wavelet

A novel inter-scale correlation image denoising method based on dual-tree M-band wavelet (DTT) is proposed in this paper. Dual-tree M-band wavelet transform is a shift-invariant, multi-scale and multi-direction transform based on a Hilbert pair of wavelets initially proposed by N. Kingsbury. Improving upon Xu¿s denosing algorithm based on wavelet inter-scale correlation, a new correlation modeling is provided between each high frequency detail subimage and corresponding M subimages in adjacent lower frequency scale. In the new algorithm, signal and noise are distinguished by the strength of the correlation, and combined with threshold functions. The experiment result shows that comparing with the classical denoising methods, for example, wavelet denoising method, Dual-tree complex wavelet denoising method, contourlet denoising method and so on. , the proposed denoising method achieves an excellent balance between suppressing noise effectively and preserving as many image details and edges as possible.
ROSA: Robust sparse adaptive channel estimation in the presence of impulsive noises

Based on the assumption of Gaussian noise model, conventional adaptive filtering algorithms for reconstruction sparse channels were proposed to take advantage of channel sparsity due to the fact that broadband wireless channels usually have the sparse nature. However, state-of-the-art algorithms are vulnerable to deteriorate under the assumption of non-Gaussian noise models (e.g., impulsive noise) which often exist in many advanced communications systems. In this paper, we study the problem of RObust Sparse Adaptive channel estimation (ROSA) in the environment of impulsive noises using variable step-size affine projection sign algorithm (VSS-APSA). Specifically, standard VSS-APSA algorithm is briefly reviewed and three sparse VSS-APSA algorithms are proposed to take advantage of channel sparsity with different sparse constraints. To fairly evaluate the performance of these proposed algorithms, alpha-stable noise is considered to approximately model the realistic impulsive noise environments. Simulation results show that the proposed algorithms can achieve better performance than standard VSS-APSA algorithm in different impulsive environments.
Thermodynamic effects of replacements of pro residues in helix interiors of maltose‐binding protein

Introduction of Pro residues into helix interiors results in protein destabilization. It is currently unclear if the converse substitution (i.e., replacement of Pro residues that naturally occur in helix interiors would be stabilizing). Maltose‐binding protein is a large 370‐amino acid protein that contains 21 Pro residues. Of these, three nonconserved residues (P48, P133, and P159) occur at helix interiors. Each of the residues was replaced with Ala and Ser. Stabilities were characterized by differential scanning calorimetry (DSC) as a function of pH and by isothermal urea denaturation studies as a function of temperature. The P48S and P48A mutants were found to be marginally more stable than the wild‐type protein. In the pH range of 5–9, there is an average increase in Tm values of P48A and P48S of 0.4°C and 0.2°C, respectively, relative to the wild‐type protein. The other mutants are less stable than the wild type. Analysis of the effects of such Pro substitutions in MBP and in three other proteins studied to date suggests that substitutions are more likely to be stabilizing if the carbonyl group i‐3 or i‐4 to the mutation site is not hydrogen bonded in the wild‐type protein. Proteins 2003. © 2003 Wiley‐Liss, Inc.
A new low-noise 100-MHz balanced relaxation oscillator

A novel fully balanced architecture for high-frequency, low-noise relaxation oscillators is presented. Differential operation is achieved with the use of two grounded capacitors utilizing the circuit parasitics. Bypassing of the regenerative memory function in the oscillator benefits both high-speed and low-noise operation. A detailed analysis of phase noise in relaxation oscillators is performed. Results obtained from a test chip have verified the viability of the new oscillator and the developed phase-noise theory. The oscillator circuit has been realized in a medium-frequency (f/sub tau /=3 GHz) bipolar process. The tuning range extends to 150 MHz. At an oscillation frequency of 115 MHz, measured phase noise was -118 dBc/Hz at 1-MHz distance from the carrier. >
Efficient Identity-based Authenticated Key Agreement Protocol with PKG Forward Secrecy

For an identity-based authenticated key agreement (IDAK) protocol, PKG forward secrecy is the strongest notion of forward secrecy, which is about the security of previously established session keys after the master secret key of the Private Key Generatior (PKG) is compromised. In this paper, we put forward a new identity-based authenticated key agreement protocol which achieves PKG for-ward secrecy. On its performance, we show that it is more computational efficient than a previously proposed protocol of Chen and Kudla (called Protocol 2'). Furthermore, we examine other security attributes that our new protocol possesses one bye one.
Evaluation of quality in encrypted VoIP calls

The purpose of this work is to evaluate the quality of encrypted VoIP calls with different encryption algorithms through OpenVPN software, in order to identify differences in results between encryption algorithms and also differences between non-encrypted and encrypted calls. This evaluation will take into account the MOS (Mean Opinion Score), a method to indicate user satisfaction of voice communication quality. The encrypted VoIP calls will occur in different network scenarios that present different network bandwidths and different problems, like packet loss, out-of-order packets, and delay.
A 79 GHz gm-boosted sub-harmonic mixer with high conversion gain in 65nm CMOS

In this paper, a 79 GHz gm-boosted sub-harmonic mixer with high conversion gain is presented. As a gm-boosting technique, a transformer based feedback network with an NMOS bleeding path is proposed to achieve high conversion gain. The differential LO-driven sub-harmonic mixer has a simple structure and operates at low LO power. The measurement results show a conversion gain of 1.6 dB at a LO power of -5 dBm, a noise figure of 13 dB, and a 2LO-to-RF isolation of 38 dB. The power consumption of the sub-harmonic mixer is 12 mW. The circuit was fabricated using 65-nm CMOS technology with a chip area of 0.69×0.45 mm2.
Pain Now or Later: An Outgrowth Account of Pain-Minimization

The preference for immediate negative events contradicts the minimizing loss principle given that the value of a delayed negative event is discounted by the amount of time it is delayed. However, this preference is understandable if we assume that the value of a future outcome is not restricted to the discounted utility of the outcome per se but is complemented by an anticipated negative utility assigned to an unoffered dimension, which we termed the “outgrowth. ” We conducted three studies to establish the existence of the outgrowth and empirically investigated the mechanism underlying the preference for immediate negative outcomes. Study 1 used a content analysis method to examine whether the outgrowth was generated in accompaniment with the delayed negative events. The results revealed that the investigated outgrowth was composed of two elements. The first component is the anticipated negative emotions elicited by the delayed negative event, and the other is the anticipated rumination during the waiting process, in which one cannot stop thinking about the negative event. Study 2 used a follow-up investigation to examine whether people actually experienced the negative emotions they anticipated in a real situation of waiting for a delayed negative event. The results showed that the participants actually experienced a number of negative emotions when waiting for a negative event. Study 3 examined whether the existence of the outgrowth could make the minimizing loss principle work. The results showed that the difference in pain anticipation between the immediate event and the delayed event could significantly predict the timing preference of the negative event. Our findings suggest that people’s preference for experiencing negative events sooner serves to minimize the overall negative utility, which is divided into two parts: the discounted utility of the outcome itself and an anticipated negative utility assigned to the outgrowth.
Recognition of curvy lane lines on freeway and applications in intelligent vehicle

Intelligent driving technology is attracting more and more attention, which can improve the efficiency and safety of transportation greatly. One of its important research directions is detecting and recognizing the lane lines on road. This paper uses the machine vision methods to recognize the curvy lane lines on freeway. The circular curve matching algorithm is proposed. The transformation between the road plane and the image plane is presented. And the match algorithm is executed in the image plane to reduce the time complexity and improve recognition accuracy. Experimental results testify the efficiency of the proposed algorithm.
Optimal Peak Power Ordering (OPPO) in ZF-SIC for IEEE 802.11ac industrial standard

IEEE 802.11ac is the fifth generation in Wi-Fi networking standard which will be a boom to the next generation wireless networks. It will bring fast, high quality video streaming and nearly instantaneous data syncing and backup to notebooks, tablets and mobile phones that have become our everyday companions co-existing with the other legacy 802.11 standards. The most important features proposed in the IEEE 802.11ac amendment include larger channel bandwidth of 160 MHz, a denser modulation scheme 256 quadrature amplitude modulation(QAM) and a MU-MIMO ( multiuser MIMO) supporting up to eight spatial streams. This paper proposes to detect the spatial streams in 802.11ac device using (2×2), (4×4), (8×8) MU-MIMO systems using some of the MIMO detection algorithms. Hence, the main aim of this paper is to evaluate the effect of Detectors/Interference Canceller (IC) like Zero-forcing (ZF),Minimum mean squared error (MMSE) and the proposed ZF-Successive IC(SIC) with Optimal Peak Power Ordering (OPPO), ZF -SIC-OPPO for WLAN on the performance of 802.11ac standard in a Rayleigh fading channel.
GATE : A Unicode-based Infrastructure Supporting Multilingual Information Extraction

NLP infrastructures with comprehensive multilingual support can substantially decrease the overhead of developing Information Extraction (IE) systems in new languages by offering support for different character encodings, languageindependent components, and clean separation between linguistic data and the algorithms that use it. This paper will present GATE – a Unicode-aware infrastructure that offers extensive support for multilingual Information Extraction with a special emphasis on lowoverhead portability between languages. GATE has been used in many research and commercial projects at Sheffield and elsewhere, including Information Extraction in Bulgarian, Romanian, Russian, and many other languages.
A Model for National Income Determination in Taiwan

Following Chow (1985 and 2010) and using annual data from 1951 to 2010 for Taiwan this paper estimates a consumption function based on the permanent income hypothesis and an investment function based on the accelerations principle. The data support the permanent income hypothesis Friedman (1957) whereas the permanent income hypothesis of Hall (1978) was supported in Chow (1985 and 2010). The accelerations principle is strongly supported, as in the case of China. An explanation why the two economies have different consumption functions is given.
Principled Dynamic Code Improvement

A method for dynamically updating running code is described. The method is "principled" in that old functionality is not destroyed. Rather, new functionality is added which can selectively and dynamically change the overall behavior of the system, yet all formal properties of the original system are guaranteed to still hold. Higher-order functions are the key to making this work, and an implementation in Hugs, a Haskell byte-code interpreter, is described.
Obtrusiveness and relevance assessment in interactive XML IR experiments

Ensuring realism in Information Retrieval (IR) experiments (whether laboratory or user based) is always a difficult problem. Obtaining relevance assessments of high quality is of pivotal importance to most studies and a significant challenge. In element retrieval from structured documents, where both whole documents but also parts of documents (elements) may be retrieved as answers, the type of research questions being posed accentuates this problem. In this opinion paper we reflect on the range of aspects we would ideally like to have assessed – in particular with regard to involvement of end-users. The problems involved in requiring assessment of several aspects for each interaction are discussed and a number of alternatives considered.
Γ-Limit of a Phase-Field Model of Dislocations

We study, by means of Γ-convergence, the asymptotic behavior of a variational problem modeling a dislocation ensemble moving on a slip plane through a discrete array of obstacles. The variational problem is a two-dimensional phase transition-type energy given by a nonlocal term and a nonlinear potential which penalizes noninteger values. In this paper we consider a regime corresponding to a diluted distribution of obstacles. In this case the leading term of the energy can be described by means of a cell problem formula defining an appropriate notion of capacity (that we call dislocation capacity).