Miracle-dz/UniFAR-FTUs huggingface dataset:
Approximate ML Detection for MIMO-OFDM Systems Using Multistage Chase Detection Algorithm

In recent publications, some special detectors were proposed to improve the performance and complexity gaps between the optimal detector and the suboptimal detector. In this paper, we propose a multistage chase detection algorithm for MIMO-OFDM systems, which use chase detection framework to design sub-detector, so the nest chase detection was implemented that can further decrease the error spread and improve the BER performance. Simulation results show that the proposed schemes performs better than BLAST and conventional chase detection, which can achieve near-ML performance with lower complexity compared with ML algorithm.
Whole-body multi-modal semi-autonomous teleoperation of mobile manipulator systems

We propose a novel whole-body multi-modal semiautonomous teleoperation framework for mobile manipulator systems, which consists of: 1) Motion capture and whole-body motion mapping to allow the operator to intuitively teleoperate the mobile manipulator without being constrained by the master interface while also fully exploiting whole-body dexterity; 2) Slave robot autonomous control to allow the mobile manipulator to optimally track the operator's whole-body command, while taking into account the user-slave kinematic dissimilarity (slave robot's joint limit, joint velocity limit, and singularity); and 3) Visuo-haptic-vestibular feedback with HMD (Head Mounted Display) for 3D visual information, wearable cutaneous haptic device for manipulation force feedback, and actuated chair for vestibular feedback to reduce HMD-induced motion sickness. Performance of the proposed framework is validated with simulation of a ROV (remotely operated vehicle) manipulator system and some preliminary user studies.
A Regression Method for real-time video quality evaluation

No-Reference (NR) metrics provide a mechanism to assess video quality in an ever-growing wireless network. Their low computational complexity and functional characteristics make them the primary choice when it comes to realtime content management and mobile streaming control. Unfortunately, common NR metrics suffer from poor accuracy, particularly in network-impaired video streams. In this work, we introduce a regression-based video quality metric that is simple enough for real-time computation on thin clients, and comparably as accurate as state-of-the-art Full-Reference (FR) metrics, which are functionally and computationally inviable in real-time streaming. We benchmark our metric against the FR metric VQM (Video Quality Metric), finding a very strong correlation factor.
Long Space Missions and the Problem of Geomagnetic Deprivation of Human Population and Astronauts on the Earth, Moon and Mars

According to the data of some geophysicists (1-4), from the end of the XXth century the full vector of the mag- netic field of the Earth, following jerks, periodic secular excursions, is gradually weakening. Accordingly the buffering properties of the Earth magnetosphere, which protects biosystems from excess solar proton-electron beams, are decreas- ing. Using modeled weakening of the geomagnetic field we had to answer the question: what are the possible biotropic consequences of heliophysical pressing for further human development? The aim of the research was the prognostic evaluation of the possible genetically conditioned polyfunctional human reac- tions of healthy male volunteers (n-39) aged 18-20 years to repeated weakening of the magnetic field of the Earth and, if necessary, the development of preventive non-medicinal technologies. Results. Significant differences (P <0.05) between volunteers in the experimental and control groups on the dynamics of electric, psychophysiological and other parameters, coupled with the appropriate genetic markers (genes D4, B1, TNF), and intensity of heliophysical factors at different stages of ontogeny of the examinees and their parents were showed . The phenomenon of "heliophysical expression of genes", manifested at modeling of the short-term prolonged geomag- netic deprivation, was opened. It is shown, that drinking water "AquaHelios" has helioprotective properties and contrib- utes to significant positive inversion of the functional dependence of many human functional systems on heliogeophysical impacts, increasing at geomagnetic deprivation. The necessity for the creation of a global system of geoecological human life support in conditions of spreading heliogeophysical changes of our biosphere and long space missions are scientifi- cally substantiated.
Ash dieback and other tree pests and pathogens: dispersed risk events and the Social Amplification of Risk Framework

Abstract It is widely acknowledged within the risk literature that the mass media play a pivotal role in shaping information about risk events for audiences. While some risk events reflect occurrences specific to particular times and locations, other risk events are more difficult to temporally and spatially situate as they are dispersed across years or months and are not constrained to particular geographic locations. Studies examining the relationship between the social amplification or attenuation of risks and their framing in the media have tended to focus on the former type of event. In this paper, we explore the social amplification of risk in relation to ash dieback disease (Hymenoscyphus fraxineus), a tree health issue that attracted intense media attention in the United Kingdom in 2012, and characterise what we designate as a dispersed risk event. Drawing on the influential Social Amplification of Risk Framework (SARF), we present a frame analysis of UK national newspaper articles to assess the connection between media coverage of dieback and risk amplification, and the extent to which dieback coverage drew on other tree health issues and objects of media attention. Focusing particularly on the blame frame around dieback, the paper considers the implications of conceptualising dispersed risk events for the SARF and its amplification metaphor. Moreover, given that risk events such as dieback are often associated with policy shifts, we suggest that there is value for risk communicators and policymakers in broadening their focus to incorporate more of the ‘history’ of risk events in order to anticipate likely anchors of public and media attention.Abbreviations: BSE: bovine spongiform encephalopathy; Defra: Department for Environment, Food and Rural Affairs; DED: Dutch elm disease; EAB: Emerald ash borer; EU: European Union; FMD: foot and mouth disease; FC: Forestry Commission; GSBB : Great spruce bark beetle; HCLM: Horse chestnut leaf miner; HTA: Horticultural Trades Association; OPM: Oak processionary moth; SARF: Social Amplification of Risk Framework; TPP: tree pests and pathogens
Performance-oriented Cloud Provisioning: Taxonomy and Survey

Cloud computing is being viewed as the technology of today and the future. Through this paradigm, the customers gain access to shared computing resources located in remote data centers that are hosted by cloud providers (CP). This technology allows for provisioning of various resources such as virtual machines (VM), physical machines, processors, memory, network, storage and software as per the needs of customers. Application providers (AP), who are customers of the CP, deploy applications on the cloud infrastructure and then these applications are used by the end-users. To meet the fluctuating application workload demands, dynamic provisioning is essential and this article provides a detailed literature survey of dynamic provisioning within cloud systems with focus on application performance. The well-known types of provisioning and the associated problems are clearly and pictorially explained and the provisioning terminology is clarified. A very detailed and general cloud provisioning classification is presented, which views provisioning from different perspectives, aiding in understanding the process inside-out. Cloud dynamic provisioning is explained by considering resources, stakeholders, techniques, technologies, algorithms, problems, goals and more.
Trust based Security Service Mechanism for Client End Security using Attribute based Encryption at Cloud Platform

Internet and cloud application is getting faster day by day. It increases the data exchange rate over internet. During this heavy data transmission security is considered as major issues in communication. Encryption method used as a primary technique for providing the security to information systems. Among all the encryption techniques attribute based encryption (ABE) is getting popularity among the users. For secure data access the client must be sure about the process used for this type of encryption but in cloud platform everything is provided by cloud. Thus the satisfaction of security at user level is not provided by any cloud. Thus this work proposes a novel Client end trust based security service mechanism (TBSSM) using behaviour based encryption for achieving the better results. This work focuses on the application area of cloud storage platform for user satisfaction. This model gives a unique stack based solution for achieving the end user security. In this methodology the attribute can be identified from the user attribute table. This attribute table is dynamic in nature & whose values are passed in the table after a pre calculation of trust & user modelling.
Legal rules, governance structures and financial systems

This paper intends to reexamine commonly accepted view on association of legal rules with corporate governance and financial markets. It summarizes findings of a number of empirical studies and gives view of current thinking on association between legal rules and financial systems characterized by ownership patterns, nature of equity, governance structure, finance behavior and capital structure. Nature and effectiveness of financial systems across countries can be partly traced to the differences in legal structures. On the other hand, legal systems are products of different governance and financial systems that place different "demands" on legal institutions. Thus, on the issue of causality, we argue that legal systems evolve as a reflection, as well as a cause, of different governance and financial systems. The practical implication is that few strong conclusions can be deduced about the policy reform. Thus, the policy reform should rely on basic principles.
An Analysis of RedAgent ’ s Market-based Appoach to Supply Chain Management

McGill’s RedAgent, the winner of the 2003 Trading Agent Competition Supply Chain Management (TAC SCM) scenario is examined. Supply chain management (SCM), the TAC SCM game and RedAgent’s unique market-based approach are introduced and described. RedAgent’s internal PC allocation market is analyzed, drawing comparisons between it and the class of scheduling problems. The paper concludes with some remarks about the market-based approach in general, and RedAgent in
Query Expansion for UMLS Metathesaurus Disambiguation Based on Automatic Corpus Extraction

Word sense disambiguation (WSD) is an intermediate task within information retrieval and information extraction, which attempts selecting the proper sense of ambiguous terms. In the biomedical domain, general WSD has not received much attention compared to the disambiguation of specific categories of entities like proteins and genes or diseases. Statistical learning approaches have achieved better performance compared to other methods. On the other hand, manually annotated data is limited, and covering all the ambiguous cases of a large resource like the UMLS is infeasible. Knowledge-based approaches using the UMLS and MEDLINE citations have achieved good performance but below that of statistical learning approaches. Our best knowledge-based result has been obtained by training a Naïve Bayes algorithm on an automatically extracted MEDLINE corpus. In this work, we extend on previous methods to enhance the quality of an automatically extracted corpus using related terms obtained from MEDLINE without manually annotated training data. We have focused on the extraction of collocations which might be used in combination with one of the senses of the ambiguous terms. We find that left side collocations have the largest improvement in accuracy with an improvement of 4%. In addition, the combination of different types of collocations and post-filtering of retrieved citations achieves an improvement of almost 9% in accuracy.
Most Common Mistakes in Test-Driven Development Practice: Results from an Online Survey with Developers

Test-driven development (TDD) is a software development practice that supposedly leads to better quality and fewer defects in code. TDD is a simple practice, but developers sometimes do not apply all the required steps correctly. This article presents some of the most common mistakes that programmers make when practicing TDD, identified by an online survey with 218 volunteer programmers. Some mistakes identified were: to forget the refactoring step, building complex test scenarios, and refactor another piece of code while working on a test. Some mistakes are frequently made by around 25% of programmers.
Contingent adaptation in masking and surround suppression

Adaptation is the process that changes a neuron's response based on recent inputs. In the traditional model, a neuron's state of adaptation depends on the recent input to that neuron alone, whereas in a recently introduced model (Hebbian normalization), adaptation depends on the structure of neural correlated firing. In particular, increased response products between pairs of neurons leads to increased mutual suppression. We test a psychophysical prediction of this model: adaptation should depend on 2nd-order statistics of input stimuli. That is, if two stimuli excite two distinct sub-populations of neurons, then presenting those stimuli simultaneously during adaptation should strengthen mutual suppression between those subpopulations. We confirm this prediction in two experiments. In the first, pairing two gratings synchronously during adaptation (i.e., a plaid) rather than asynchronously (interleaving the two gratings in time) leads to increased effectiveness of one pattern for masking the other. In the second, pairing the gratings in a center-surround configuration results in reduced apparent contrast for the central grating when paired with the same surround (as compared with a condition in which the central grating appears with a different surround at test than during adaptation). These results are consistent with the prediction that an increase in response covariance leads to greater mutual suppression between neurons. This effect is detectable both at threshold (masking) and well above threshold (apparent contrast).
Open Access Research Article Comparative Performances of Dna Barcoding across Insect Orders

Background: Previous studies on insect DNA barcoding provide contradictory results and suggest not consistent performances across orders. This work aims at providing a general evaluation of insect DNA barcoding and "mini-barcoding" by performing simulations on a large database of 15,948 DNA barcodes. We compared the proportions of correctly identified queries across a) six insect orders Results: Analysis of variance revealed highly significant differences among ID criteria and insect orders. A posteriori comparisons of means showed that NJT had always a significantly lower identification success (NJT = 0.656, S.D. = 0.118) compared to both BM and BCM (BM = 0.948, S.D. = 0.026; BCM = 0.946, S.D. = 0.031). NJT showed significant variations among orders, with the highest proportion of correctly identified queries in Hymenoptera and Orthoptera and the lowest in Diptera. Conversely, the proportions of correct matches of BM and BCM were consistent across orders but a progressive increase in false identification was observed when larger reference databases were used. Conclusions: Regardless the relatively low proportion of Type I errors (misidentification of queries which are represented in the reference database) of BM and BCM, the lack of reference DNA barcodes for 98% of the known insect species implies that insect DNA barcoding is heavily biased by Type II errors (misidentification of queries without conspecifics in the database). The detrimental effects of Type II errors could be circumvented if insect DNA barcoding is used to verify the lack of correspondence between a query and a list of properly referenced target species (e.g. insect pests). This "negative identification" would only be subjected to Type I errors and could be profitably adopted in insect quarantine procedures. Background DNA barcoding aims at identifying organisms by assessing their degree of DNA sequence similarity to a set of reference taxa. The standard sequence used for this purpose is the mitochondrial COI gene fragment amplified by the "universal primers" of Folmer et al. [1]. Sequence similarities are then interpreted using numerical methods such as hierarchical clustering of genetic distances and statistical evaluations of genetic distance thresholds [2]. Recently, DNA barcoding has been explicitly defined as the molecular identification of a species based on the reference sequence with the lowest genetic distance [3]. Yet,
ON DE-EMPHASIZING THE SPURIOUS COMPONENTS IN THE SPECTRAL MODULATION FOR ROBUST SPEECH RECOGNITION

It is well known that the peaks in log Mel-filter bank spectrum essentially represent the “formants” of the speech signal and are important cues in characterizing the sound. However, the perturbations in the low energy log Mel-filter bank spectrum create unnecessary sensitivity in the cepstral comparison, especially in the presence of the additive noise. In this paper, we present a technique to suppress this unnecessary sensitivity of the log Mel-filter bank spectrum (logMelFBS) of the speech signals, while preserving the fundamental formant structure. From the practical point of view, our technique is quite similar to the spectral root homomorphic deconvolution systems (SRDS) [3]. However, we work with log homomorphic deconvolution system (LHDS) [1] and use an exponentiation of logMelFBS to emphasize the spectral peaks (formants). In experiments with speech signals, it is shown that the proposed technique based features yield a significant increase in speech recognition performance in non-stationary noise conditions when compared directly to the MFCC features, while achieving slightly better performance in clean conditions. The proposed technique yields almost similar performance as compared to the root Mel-cepstral coefficients (RMFCC) in the noisy as well as clean conditions.
As Far as the Eye Can See: Relationship between Psychopathic Traits and Pupil Response to Affective Stimuli

Psychopathic individuals show a range of affective processing deficits, typically associated with the interpersonal/affective component of psychopathy. However, previous research has been inconsistent as to whether psychopathy, within both offender and community populations, is associated with deficient autonomic responses to the simple presentation of affective stimuli. Changes in pupil diameter occur in response to emotionally arousing stimuli and can be used as an objective indicator of physiological reactivity to emotion. This study used pupillometry to explore whether psychopathic traits within a community sample were associated with hypo-responsivity to the affective content of stimuli. Pupil activity was recorded for 102 adult (52 female) community participants in response to affective (both negative and positive affect) and affectively neutral stimuli, that included images of scenes, static facial expressions, dynamic facial expressions and sound-clips. Psychopathic traits were measured using the Triarchic Psychopathy Measure. Pupil diameter was larger in response to negative stimuli, but comparable pupil size was demonstrated across pleasant and neutral stimuli. A linear relationship between subjective arousal and pupil diameter was found in response to sound-clips, but was not evident in response to scenes. Contrary to predictions, psychopathy was unrelated to emotional modulation of pupil diameter across all stimuli. The findings were the same when participant gender was considered. This suggests that psychopathy within a community sample is not associated with autonomic hypo-responsivity to affective stimuli, and this effect is discussed in relation to later defensive/appetitive mobilisation deficits.
On the Use of Mobile GPU for Accelerating Malware Detection Using Trace Analysis

Malware detection on mobile phones involves analysing and matching large amount of data streams against a set of known malware signatures. Unfortunately, as the number of threats grows continuously, the number of malware signatures grows proportionally. This is time consuming and leads to expensive computation costs, especially for mobile devices where memory, power and computation capabilities are limited. As the security threat level is getting worse, parallel computation capabilities for mobile phones is getting better with the evolution of mobile graphical processing units (GPUs). In this paper, we discuss how we can benefit from the evolving parallel processing capabilities of mobile devices in order to accelerate malware detection on Android mobile phones. We have designed and implemented a parallel host-based anti-malware for mobile devices that exploits the computation capabilities of mobile GPUs. A series of computation and memory optimization techniques are proposed to increase the detection throughput. The results suggest that mobile graphic cards can be used effectively to accelerate malware detection for mobile phones.
Molecular mechanisms of long noncoding RNAs on gastric cancer

Long noncoding RNAs (lncRNAs) are non-protein coding transcripts longer than 200 nucleotides. Aberrant expression of lncRNAs has been found associated with gastric cancer, one of the most malignant tumors. By complementary base pairing with mRNAs or forming complexes with RNA binding proteins (RBPs), some lncRNAs including GHET1, MALAT1, and TINCR may mediate mRNA stability and splicing. Other lncRNAs, such as BC032469, GAPLINC, and HOTAIR, participate in the competing endogenous RNA (ceRNA) network. Under certain circumstances, ANRIL, GACAT3, H19, MEG3, and TUSC7 exhibit their biological roles by associating with microRNAs (miRNAs). By recruiting histone-modifying complexes, ANRIL, FENDRR, H19, HOTAIR, MALAT1, and PVT1 may inhibit the transcription of target genes in cis or trans. Through these mechanisms, lncRNAs form RNA-dsDNA triplex. CCAT1, GAPLINC, GAS5, H19, MEG3, and TUSC7 play oncogenic or tumor suppressor roles by correlated with tumor suppressor P53 or onco-protein c-Myc, respectively. In conclusion, interaction with DNA, RNA and proteins is involved in lncRNAs’ participation in gastric tumorigenesis and development.
Cyberbullying perpetration: an empirical test of social learning theory in Iran

ABSTRACT To test social learning theory’s ability to explain Iranian sports fans’ decision to engage in cyberbullying perpetration against rivals, a random sample of 464 students from an Iranian university is employed. Structural equation modeling is used to analyze these data. Findings suggest that cyberbullying against rivals is significantly predicted by differential association, definitions, imitation, and differential reinforcement. In addition, differential association also has direct effects on definitions, imitation, and differential reinforcement, and from these paths, indirect effects (partial mediation) on cyberbullying perpetration.