Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Concept Drift and Temporal Inductive Transfer for Reuters 2000

The success of machine learning classification pales for real-world, time-varying streams of data. We define three subtypes of concept drift, and confirm that recurrent themes appear in the benchmark dataset Reuters2000. To encourage research in this difficult area, we define a ‘daily classification task’ (DCT) problem formulation, in which a few random iid training samples are provided each day. Ideally, past training data could be leveraged to improve the current day’s classifier. Empirical results for Reuters2000 show that two likely methods are not successful: (1) the popular idea of a sliding window incorporating recent past training data, and (2) inductive transfer of the previously learned classifiers to provide additional predictive features for the current learning task. The former provides a method of characterizing the degree of concept drift. The latter excels if all past labels are given: ‘hindsight DCT. ’
Are smiles a sign of happiness ? Gold medal winners at the olympic games

All facial behavior displayed by 22 Olympic gold medalists during their awards ceremonies was codified. The awards ceremony contains one stage in which the medalist interacts with others and two noninteractive stages. Observers (including 10 other gold medalists) judged the emotional experience of the gold medalists to be intense happiness throughout the ceremony. However, smiles were frequent only during the interactive stage. As predicted by behavioral ecological theories of facial behavior, happiness was not sufficient for smiling.
Selection of Entries for a Bilingual Dictionary from Aligned Translation Equivalents using Support Vector Machines

This paper claims that constructing a dictionary using bilingual pairs obtained from parallel corpora needs not only correct alignment of two noun phrases but also judgment of its appropriateness as an entry. It specifically addresses the latter task, which has been paid little attention. It demonstrates a method of selecting a suitable entry using Support Vector Machines, and proposes to regard as the features the common and the different parts between a current translation and a new translation. Using experiment results, this paper examines how selection performances are affected by the four ways of representing the common and the different parts: morphemes, parts of speech, semantic markers, and upper-level semantic markers. Moreover, we used n-grams of the common and the different parts of above four kinds of features. Experimental result found that representation by morphemes marked the best performance, F-measure of 0.803.
Comparative Analysis of Physical Static and Dynamic Exercises Using Borg's RPE 6-20 Scale

In this study, two physical exercises (dynamic running and static holding) were performed by 10 participants under 6 testing conditions of 3 load levels for each exercise. A good correlation was obtained between Borg's RPE 6-20 scale and the heart rates (HR) during dynamic exercises where the regression equation with an R-square was 0.712 (p 0.05). The finding suggested that caution should be considered when using HR as an indicator, because the body discomfort may be underestimated during locally static exercise.
Eye localization based on hue image processing

A new eye localization method based on hue image processing is proposed in this paper. First, face extraction method based on skin-color information is improved by forehead skin localization and lip detection. Second, vertical projection in hue image is used instead of horizontal projection in intensity or edge images in other works. At last, the eye center is located by a peak value extraction algorithm. This method is time efficient as no gradient or other time consuming computations are used. The experiment result shows that a 320times240 color image needs 8 ms to locate the centers of both eyes on a PC with an AMD Sempron TM 2500+ at 2.25 GHz CPU. The average detection rate is about 95.25%.
Noncoherent Energy-based Communications for the Massive SIMO MAC

We consider several single antenna transmitters communicating with a multi-antenna receiver, with the latter decoding transmitted information at the end of each symbol time. Motivated by the optimal noncoherent detector in a Rayleigh fading channel, we propose a noncoherent energy-based communication scheme that does not require any knowledge of instantaneous channel state information at either the transmitter or the receiver; it uses only the statistics of the channel and noise. The proposed scheme involves choosing the transmitted constellation points based on a minimum distance criterion and the receiver sensing only the average energy across all the receive antennas. We show, for very general channel fading statistics, that the performance of the proposed scheme is the same, in a scaling law sense, as that of the optimal coherent scheme exploiting perfect channel knowledge. Furthermore, we present a numerical evaluation of the performance of this scheme in representative fading and noise statistics.
Short version of the Depression Anxiety Stress Scale-21: is it valid for Brazilian adolescents?

ABSTRACT Objective To evaluate the interday reproducibility, agreement and validity of the construct of short version of the Depression Anxiety Stress Scale-21 applied to adolescents. Methods The sample consisted of adolescents of both sexes, aged between 10 and 19 years, who were recruited from schools and sports centers. The validity of the construct was performed by exploratory factor analysis, and reliability was calculated for each construct using the intraclass correlation coefficient, standard error of measurement and the minimum detectable change. Results The factor analysis combining the items corresponding to anxiety and stress in a single factor, and depression in a second factor, showed a better match of all 21 items, with higher factor loadings in their respective constructs. The reproducibility values for depression were intraclass correlation coefficient with 0.86, standard error of measurement with 0.80, and minimum detectable change with 2.22; and, for anxiety/stress: intraclass correlation coefficient with 0.82, standard error of measurement with 1.80, and minimum detectable change with 4.99. Conclusion The short version of the Depression Anxiety Stress Scale-21 showed excellent values of reliability, and strong internal consistency. The two-factor model with condensation of the constructs anxiety and stress in a single factor was the most acceptable for the adolescent population.
Multi-agent based public key infrastructure for smart grid

The electric power grid has been developed over last century and it is facing many problems. The electric grid lacks the ability to adapt and integrate intermittent energy sources and active customer participation. Numbers of architecture have been proposed by various agencies for smart grid. Micro-grid is the lowest node in the hierarchy of smart grid that has to be developed efficiently for optimal performance. Smart grid, which will involve multidirectional energy and information flows, may be susceptible to cyber attack due to involvement of ICT in managing the smart grid. Multiagent based public key infrastructure (PKI) is proposed for the authentication of participating devises in micro-grid. The agents utilize information exchanges from neighboring agents to construct knowledge base that can be used in making efficient decision support system. The studies suggest that multi-agent perform better under the given circumstance and pressure providing the real-time communication.
Examining How Projections About the Future of Society Are Related to Present-Day Climate Change Action

Global climate change will affect all domains of person-environment relations. Tackling climate change will require social change that can be motivated by people’s imaginings of the future of their society where such social change has occurred. We use the “collective futures” framework to examine whether beliefs about the future of society are related to present-day intentions to take climate change action. Participants from two Brazilian samples imagined their society in 2050 where climate change was mitigated and then rated how this future society would differ from Brazilian society today in terms of societal-level dysfunction and development and personal-level traits and values. To the extent that participants believed preventing climate change would result in societal development and more competence traits, they were more willing to engage in environmental citizenship activities. Individual differences in future time perspective also impacted environmental citizenship intention. Societal development and consideration of future consequences seem to be distinct routes by which future thinking influence climate change action.
Performance Improvement for Best-Effort Traffic of IEEE 802.11e QoS MAC in Mobile Ad Hoc Networks

Wireless mobile networks and devices are broadly spread out as they provide users convenient access to information. Particularly, the mobile ad hoc networks (MANETs) that make no use of wired infrastructure is receiving growing interests with the underlying widely deployed 802.11 wireless LAN. With the expanding scope of applications of MANETs, the need for the provision of QoS capability for real time traffic becomes essential. In this paper, we propose a queue scheduling scheme of EDCA channel access mechanism defined in the 802.11e MAC, aiming at enhancing the performance of the best effort traffic without deteriorating the performance of the higher priority traffics such as voice and video traffic. For this purpose we also make a provision of appropriate mapping of the QoS related parameters defined at each protocol layer. The proposed scheme is validated via simulation, showing noticeable performance improvement in best effort traffics
Single RF based MIMO system using load-modulation

In this paper, we confirm that load modulation technique can support generation of high-order m-QAM symbols for LM-MIMO system. And then we evaluate performance of LM-MIMO system using load modulated symbols. A number of RF chains can cause various problems in conventional MIMO system. On the other hand, LM-MIMO system requires single RF chain only. Therefore, LM-MIMO system has low-complexity and low power consumption. As results, we can confirm that load modulation of T-model can generate high-order m-QAM symbols. Also, we can confirm that 4×4 LM-MIMO system with single RF chain has a similar performance to conventional 4×4 MIMO system with a number of RF chains.
A novel learning method by structural reduction of DAGs for on-line OCR applications

This paper introduces a learning algorithm for a neural structure, directed acyclic graphs (DAGs) that is structurally based, i.e. reduction and manipulation of internal structure are directly linked to learning. This paper extends the concepts of I-Jong Lin and Kung (see IEEE Transactions in Signal Processing Special Issue Neural Networks, 1996) for template matching to a neural structure with capabilities for generalization. DAG-learning is derived from concepts in finite state transducers, hidden Markov models, and dynamic time warping to form an algorithmic framework within which many adaptive signal techniques such as vector quantization, K-means, approximation networks, etc., may be extended to temporal recognition. The paper provides a concept of path-based learning to allow comparison among hidden Markov models (HMMs), finite state transducers (FSTs) and DAG-learning. The paper also outlines the DAG-learning process and provides results from the DAG-learning algorithm over a test set of isolated cursive handwriting characters.
Row Projection Methods for Large Nonsymmetric Linear Systems

Three conjugate gradient accelerated row projection (RP) methods for nonsymmetric linear systems are presented and their properties described. One method is based on Kaczmarz’s method and has an iteration matrix that is the product of orthogonal projectors; another is based on Cimmino’s method and has an iteration matrix that is the sum of orthogonal projectors. A new RP method, which requires fewer matrix-vector operations, explicitly reduces the problem size, is error reducing in the two-norm, and consistently produces better solutions than other RP algorithms, is also introduced. Using comparisons with the method of conjugate gradient applied to the normal equations, the properties of RP methods are explained.A row partitioning approach is described that yields parallel implementations suitable for a wide range of computer architectures, requires only a few vectors of extra storage, and allows computing the necessary projections with small errors. Numerical testing verifies the robustness of this appro.
Towards a Framework for the Evaluation Design of Enterprise Social Software

While the use of Enterprise Social Software (ESS) increases, reports from science and practice show that evaluating its impact remains a major challenge. Various interests and points of view make each ESS evaluation an individual matter and lead to diverse requirements. In this paper, we propose a design theory that highlights the various design options and ensures completeness and consistency. Based on a comprehensive literature analysis, as well as an interview study with 31 ESS experts from 29 companies, we suggest a conceptual framework intended as decision support for the ESS evaluation design for different stakeholders. Beyond providing an orientation the framework also reveals six evaluation classes that represent typical application instantiations and can be understood as principles of implementation. A first validation in five organizations confirms that the framework can lead to a more efficient evaluation design and to increased effectiveness during the evaluation phase.
COLTHPF, a run-time support for the high-level co-ordination of HPF tasks

This paper describesCOLTHPF, a run-time support specifically designed for the co-ordination of concurrent and communicating HPF tasks.COLTHPF is implemented on top of MPI and requires only small changes to the run-time support of the HPF compiler used. Although the COLTHPF API can be used directly by programmers to write applications as a flat collection of interacting data-parallel tasks, we believe that it can be used more productively through a compiler of a simple high-level co-ordination languagewhich facilitates programmers in structuring a set of data-parallel HPF tasks according to common forms oftask-parallelism. The paper outlines design and implementation issues, and discusses the main differences from other approaches to exploiting task parallelism in the HPF framework. We show how COLTHPF can be used to implement common forms of parallelism, e.g. pipeline and processor farms, and we present experimental results regarding both synthetic micro-benchmarks and sample applications. The experiments were conducted on an SGI/Cray T3E using Adaptor, a public domain HPF compiler. Copyright  1999 John Wiley & Sons, Ltd.
AIDA: ab initio domain assembly server

AIDA: ab initio domain assembly server, available at http://ffas.burnham. org/AIDA/ is a tool that can identify domains in multi-domain proteins and then predict their 3D structures and relative spatial arrangements. The server is free and open to all users, and there is an option for a user to provide an e-mail to get the link to result page. Domains are evolutionary conserved and often functionally independent units in proteins. Most proteins, especially eukaryotic ones, consist of multiple domains while at the same time, most experimentally determined protein structures contain only one or two domains. As a result, often structures of individual domains in multi-domain proteins can be accurately predicted, but the mutual arrangement of different domains remains unknown. To address this issue we have developed AIDA program, which combines steps of identifying individual domains, predicting (separately) their structures and assembling them into multiple domain complexes using an ab initio folding potential to describe domain–domain interactions. AIDA server not only supports the assembly of a large number of continuous domains, but also allows the assembly of domains inserted into other domains. Users can also provide distance restraints to guide the AIDA energy minimization.
Development of the TriATHLETE Lunar Vehicle Prototype

The Tri-ATHLETE vehicle is the second generation of a wheel-on-limb vehicle being developed to support the return of humans to the lunar surface. This paper describes the design, assembly, and test of the TriATHLETE robotic system with a specific emphasis on the limb joint actuators. The design and implementation of the structural components is discussed, and a novel and low cost approach to approximating flight-like cabling is also presented. The paper concludes with a discussion of the “second system effect” and other lessons learned as well as results from a three week long field trial of the vehicle in the Arizona desert.
Recommendation system technologies of intelligent large-scale shopping mall

Under the wave of Internet of Things, Technologies like RFID is being applied to wider fields[3]. In this paper, we have the deployed RFID devices and related infrastructure in a modern large-scale shopping mall. To recognize consumers personal preference and tastes, we put forward a new method to improve the current collaborative filtering methods in utilizing and analyzing the implicit feedback of current registered mall members. Then also introduced how to cooperate with RFID data and integrate with rule engine to construct recommendation system.
The UV Scattering Halo of the Central Source Associated with η Carinae

We have made an extensive study of the UV spectrum of η Carinae and find that we do not directly observe the star and its wind in the UV. Because of dust along our line of sight, the UV light that we observe arises from bound-bound scattering at large impact parameters. We obtain a reasonable fit to the UV spectrum by using only the flux that originates outside 0. ″033. This explains why we can still observe the primary star in the UV despite the large optical extinction: it is due to the presence of an intrinsic coronagraph in the η Car system and to the extension of the UV-emitting region. It is not due to peculiar dust properties alone. We have computed the spectrum of the purported companion star and show that it could only be directly detected in the UV spectrum, preferentially in the FUSE spectral region (912-1175 Å). However, we find no direct evidence for a companion star, with the properties indicated by X-ray studies and studies of the Weigelt blobs, in UV spectra. This might be due to reprocessing of the companion's light by the dense stellar wind of the primary. Broad Fe II and [Fe II] emission lines, which form in the stellar wind, are detected in spectra taken in the southeastern lobe, 0. ″2 from the central star. The wind spectrum shows some similarities to the spectra of the B and D Weigelt blobs but also shows some marked differences in that lines pumped by Lyα are not seen. The detection of the broad lines lends support to our interpretation of the UV spectrum and to our model for η Car.
Aberrant connectivity of resting-state networks in borderline personality disorder.

BACKGROUND Several functional neuroimaging studies have reported regionally abnormal activation of the frontal cortex in individuals with borderline personality disorder (BPD) during cognitive and affective task performance. However, little is known about neural function in individuals with BPD during the resting state. Using functional magnetic resonance imaging (fMRI), this study investigated the functional connectivity of prefrontal and limbic networks in patients with BPD. METHODS Between January 2009 and March 2010, we investigated patients with BPD according to DSM-IV criteria and healthy controls by means of resting-state fMRI. The data were analyzed using a spatial group independent component analysis, and random effects t tests were used to compare spatial components between groups (p < 0.005, uncorrected). RESULTS There were 17 women with BPD and 17 female healthy controls enrolled in this study. Within a network comprising cortical midline regions ("default mode network"), patients with BPD showed an increase in functional connectivity in the left frontopolar cortex (FPC) and the left insula, whereas decreased connectivity was found in the left cuneus. Within a network comprising predominantly right lateral prefrontal and bilateral parietal regions, patients with BPD showed decreased connectivity of the left inferior parietal lobule and the right middle temporal cortex compared with healthy controls. Two networks comprising lateral prefrontal and cingulate regions did not exhibit significant between-group differences. We found correlations between functional connectivity of the FPC and measures of impulsivity as well as between connectivity of the insula/cuneus and dissociation tension. LIMITATIONS Co-occurrent axis I disorders and medication use in this sample of patients with BPD have to be considered as potential limitations. CONCLUSION These data suggest that abnormal functional connectivity of temporally coherent resting-state networks may underlie certain symptom clusters in patients with BPD.
dms2dfe: Comprehensive Workflow for Analysis of Deep Mutational Scanning Data

High throughput genotype to phenotype (G2P) data is increasingly being generated by widely applicable Deep Mutational Scanning (DMS) method. dms2dfe is a comprehensive end-to-end workflow that addresses critical issue with noise reduction and offers variety of crucial downstream analyses. Noise reduction is carried out by normalizing counts of mutants by depth of sequencing and subsequent dispersion shrinkage at the level of calculation of preferential enrichments. In downstream analyses, dms2dfe workflow provides identification of relative selection pressures, potential molecular constraints and generation of data-rich visualizations. Availability dms2dfe is implemented as a python package and it is available at https://kc-lab.github. io/dms2dfe. Contact kausik@igib.in, rohan@igib.in Supplementary information Supplementary data are available at Bioinformatics online.
A survey-based study of the mapping of system properties to ISO/IEC 9126 maintainability characteristics

The ISO/IEC 9126 international standard for software product quality is a widely accepted reference for terminology regarding the multi-faceted concept of software product quality. Based on this standard, the Software Improvement Group has developed a pragmatic approach for measuring technical quality of software products. This quality model introduces another level below the hierarchy defined by ISO/IEC 9126, which consists of system properties such as volume, duplication, unit complexity and others. A mapping between system properties and ISO/IEC 9126 characteristics is defined in a binary fashion: a property either influences a characteristic or not. This mapping embodies consensus among three experts based, in an informal way, on their experience in software quality assessment. We have conducted a survey-based experiment to study the mapping between system properties and quality characteristics. We used the Analytic Hierarchy Process as a formally structured method to elicit the relative importance of system properties and quality characteristics from a group of 22 software quality experts. We analyzed the results of the experiment with two objectives: (i) to validate the original binary mapping and (ii) to refine the mapping using the elicited relative weights.