Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributive estimation of frequency selective channels for massive MIMO systems

We consider frequency selective channel estimation in the uplink of massive MIMO-OFDM systems, where our major concern is complexity. A low complexity distributed LMMSE algorithm is proposed that attains near optimal channel impulse response (CIR) estimates from noisy observations at receive antenna array. In proposed method, every antenna estimates the CIRs of its neighborhood followed by recursive sharing of estimates with immediate neighbors. At each step, every antenna calculates the weighted average of shared estimates which converges to near optimal LMMSE solution. The simulation results validate the near optimal performance of proposed algorithm in terms of mean square error (MSE).
Association between Serum Paraoxonase 1 Activities (PONase/AREase) and L55M Polymorphism in Risk of Female Infertility

Background: The risk of developing female infertility has been associated with gene polymorphisms that decrease the activity of enzymes involved in systemic Oxidative Stress (OS). In this study, PON1 L55M polymorphism for association with susceptibility to infertility was investigated among Iranian female population. Methods: Samples from 120 Iranian females [20 endometriosis; 30 Polycystic Ovary Syndrome (PCO); 70 controls] were analyzed and PCR-RFLP assay was used to determine the PON1 rs854560 (L55M) frequencies. The paraoxonase (PONase) and arilesterase (AREase) activities of PON1 enzyme were also assessed in order to investigate the association between serum PON1 activities, female infertility, and PON1 L55M polymorphism. Results: The women with a MM genotype (p=0.021; OR=2.55) showed more possibilities of experiencing infertility than those with a LM genotype (p=0.039; OR=1.91). According to LSD test, endometriosis subjects had significantly lower paraoxonase enzyme activity compared to control group (p=0.0024; CI=95%). No significant difference was found in women with PCOS for both PONase and AREase activity in comparison with control group (p=0.469; CI=95%). Furthermore, PON1 activities were the highest in LL genotype followed by LM and then MM genotype (MM<LM<LL) in both patients and controls. Conclusion: PON1 L55M polymorphism may be associated with serum PON1 activity and the risk of developing female infertility.
A Microsatellite Genetic Linkage Map for Xiphophorus Sequence data from this article have been deposited with the EMBL/GenBank Data Libraries under accession nos. AY258640, AY258896.

Interspecies hybrids between distinct species of the genus Xiphophorus are often used in varied research investigations to identify genomic regions associated with the inheritance of complex traits. There are 24 described Xiphophorus species and a greater number of pedigreed strains; thus, the number of potential interspecies hybrid cross combinations is quite large. Previously, select Xiphophorus experimental crosses have been shown to exhibit differing characteristics between parental species and among the hybrid fishes derived from crossing them, such as widely differing susceptibilities to chemical or physical agents. For instance, genomic regions harboring tumor suppressor and oncogenes have been identified via linkage association of these loci with a small set of established genetic markers. The power of this experimental strategy is related to the number of genetic markers available in the Xiphophorus interspecies cross of interest. Thus, we have undertaken the task of expanding the suite of easily scored markers by characterization of Xiphophorus microsatellite sequences. Using a cross between Xiphophorus maculatus and X. andersi, we report a linkage map predominantly composed of microsatellite markers. All 24 acrocentric chromosome sets of Xiphophorus are represented in the assembled linkage map with an average intergenomic distance of 7.5 cM. Since both male and female F1 hybrids were used to produce backcross progeny, these recombination rates were compared between “male” and “female” maps. Although several genomic regions exhibit differences in map length, male- and female-derived maps are similar. Thus Xiphophorus, in contrast to zebrafish, Danio rerio, and several other vertebrate species, does not show sex-specific differences in recombination. The microsatellite markers we report can be easily adapted to any Xiphophorus interspecies and some intraspecies crosses, and thus provide a means to directly compare results derived from independent experiments.
MAKING DEPLOYMENT OF DISTRIBUTED COMPONENT-BASED SOFTWARE UNIFIED ∗

Software deployment is an inevitable part of software lifecycle. For non-component-based software, there already exist generic tools and environments supporting fully automated deployment. However, for component-based software, there has not been any unified environment and/or suit of tools performing deployment activities yet. This paper proposes such an environment and presents a generic component model that, in addition to the standard features of component models, is suitable for managing components during their deployment. The presented model is an extension to the OMG Deployment and Configuration specification [14].
Novel 3 port characterisation and de-embedding for high performance on-silicon K/sub a/ band balun

A 3 port de-embedding technique is presented. The method is used to accurately characterise the performance of an on-silicon multilayer balun. Three de-embedding structures have been fabricated along with the balun itself. From 25 to 40 GHz the de-embedded balun achieves phase and magnitude imbalances of less than 5 degrees and 1 dB, respectively. Excellent correspondence between the measured balun parameters and EM simulation results is observed after de-embedding is applied
Construct a new fixed-length binary fingerprint representation using Kernelized Locality-Sensitive Hashing

ISO/IEC 19794-2 compliant fingerprint minutiae template is an unordered and variable-size point set data. Such characteristic leads to restriction to the applications that can only operate on the ordered fixed-length bit-string, such as cryptographic protocols and biometric cryptosystem scheme like fuzzy commitment and fuzzy extractor operating in hamming domain. In this paper, we propose a discriminative fixed-length binary representation converted from fingerprint minutia based on Kernelized Locality-Sensitive Hashing (KLSH), which enables speedy matching. The proposed method includes four steps: minutiae descriptor extraction; Kernelized Locality-Sensitive Hashing for fixed length vector generation; dynamic feature binarization and matching. Experimental results on FVC2002 databases justify the feasibility of the proposed template in terms of matching accuracy and template randomness.
Towards persistent structural health monitoring through sustainable wireless sensor networks

This paper documents the design, implementation and characterisation of a wireless sensor node (GENESI Node v1.0), applicable to long-term structural health monitoring. Presented is a three layer abstraction of the hardware platform; consisting of a Sensor Layer, a Main Layer and a Power Layer. Extended operational lifetime is one of the primary design goals, necessitating the inclusion of supplemental energy sources, energy awareness, and the implementation of optimal components (microcontroller(s), RF transceiver, etc.) to achieve lowest-possible power consumption, whilst ensuring that the functional requirements of the intended application area are satisfied. A novel Smart Power Unit has been developed; including intelligence, ambient available energy harvesting (EH), storage, electrochemical fuel cell integration, and recharging capability, which acts as the Power Layer for the node. The functional node has been prototyped, demonstrated and characterised in a variety of operational modes. It is demonstrable via simulation that, under normal operating conditions within a structural health monitoring application, the node may operate perpetually.
“ THE RIGHT MOVE ” – A CONCEPT FOR A VIDEO-BASED CHOREOGRAPHY TOOL

In the context of a proposed project for a video-based choreography tool, we carry out video acquisition experiments with a Sony DCR-VX2000 camcorder that operates at 25 frames/sec and a high-speed HCC1000 video camera with adjustable frame rates. We perform tests with frame rates up to 462 frames/sec and observe that the performance of the Kanade-Lucas-Tomasi tracking algorithm improves significantly as the frame rate increases. Furthermore, we demonstrate the application of an available dance notation, the Labanotation, to the video-captured ballet scene.
Effekte eines schulbasierten sozial-kognitiven Trainings bei Jugendlichen mit dem Förderschwerpunkt Lernen

Zwischen Verhaltensauffalligkeiten und Lernschwierigkeiten besteht ein enger Zusammenhang (z.B. Fischbach et al., 2010). Bisher existieren nur wenige evaluierte Programme zur Forderung sozial-emotionaler Kompetenzen bei lernschwachen Schulerinnen und Schulern im deutschsprachigen Raum. Zudem erreichen schulbasierte Interventionen im Hinblick auf die Reduktion von Verhaltensproblemen uberwiegend kleine Effekte (Durlak et al., 2011). Im vorliegenden Beitrag wird die Wirkung eines 18 Sitzungen umfassenden Trainings fur lernschwache Jugendliche uberpruft, das auf dem Modell der sozial-kognitiven Informationsverarbeitung basiert (Crick & Dodge, 1994; Lemerise & Arsenio, 2000). Hierzu erfolgt ein Vergleich der Entwicklung der Probanden einer Interventionsgruppe (N=74) mit einer unbehandelten Vergleichsgruppe (N=63) in einem Pra-, Post- und Follow-up-Design. Als Erhebungsinstrument wurde der Strengths and Difficulties Questionnaire (SDQ; Goodman, 1997) genutzt. Bei der varianzanalytischen Datenauswertung kam ein gemischtes Design zum Einsatz (Mixed Model). Die Analysen ergeben kleine bis mittlere Effekte der Intervention im Ruckgang von Verhaltensauffalligkeiten auf den Dimensionen Gesamtproblemwert (η²p=.066), Emotionale Probleme (η²p=.047) sowie Hyperaktivitat/Aufmerksamkeitsprobleme (η²p=.034). (DIPF/Orig.) There is a close relationship between behavioral problems and learning difficulties (e.g. Fischbach et al., 2010). Up to now few programs to promote social and emotional competencies in students with learning disabilities have been evaluated in German-speaking countries. In addition, school-based interventions have for the most part only shown small effects in terms of reducing behavioral problems (Durlak et al., 2011). In the present study, the effectiveness of a comprehensive training course for young people with learning disabilities will be investigated. The intervention evaluated consists of 18 sessions and is based on the social-cognitive model of information processing (Crick & Dodge, 1994; Lemerise & Arsenio, 2000). To test the effectiveness of the program, the progress made by subjects in the experimental group (N=74) who participated in the intervention was compared with a control group (N=63) who received no treatment. A pre, post and follow-up experimental design was used. StudentsÂ’ development was assessed using the Strengths and Difficulties Questionnaire (SDQ; Goodman, 1997). For the analysis of the data, a mixed-design analysis of variance model was employed. The analyses show small to medium effects of the intervention in reducing behavioral problems when comparing the values for the Â“total difficulties scoreÂ” (η²p=.066), the Â“emotional problems scoreÂ” (η²p=.047) as well as the Â“hyperactivity scoreÂ” (η²p=.034). (DIPF/Orig.)
Patient-reported barriers and facilitators to antiretroviral adherence in sub-Saharan Africa

Objective: The aim of this study was to identify the range and frequency of patient-reported barriers and facilitators to antiretroviral treatment (ART) adherence in sub-Saharan Africa (SSA). Design: Studies from 2005 to 2016 were identified by searching 10 electronic databases and through additional hand and web-searching. Methods: Inclusion criteria were HIV-positive adults taking ART based in any SSA country, qualitative study or quantitative survey and included at least one patient-reported barrier or facilitator to ART adherence. Exclusion criteria were only including data from treatment-naive patients initiating ART, only single-dose treatment, participants residing outside of SSA and reviews. Results: After screening 11 283 records, 154 studies (161 papers) were included in this review. Forty-three barriers and 30 facilitators were reported across 24 SSA countries. The most frequently identified barriers across studies were forgetting (n = 76), lack of access to adequate food (n = 72), stigma and discrimination (n = 68), side effects (n = 67) and being outside the house or travelling (n = 60). The most frequently identified facilitators across studies were social support (n = 60), reminders (n = 55), feeling better or healthier after taking ART (n = 35), disclosing their HIV status (n = 26) and having a good relationship with a health provider (n = 22). Conclusion: This review addresses the gap in knowledge by collating all the patient-reported barriers and facilitators to ART adherence in SSA. Current barriers measures need to be adapted or new tools developed to include the wide variety of factors identified. The factors that have the greatest impact need to be isolated so interventions are developed that reduce the barriers and enhance the facilitators.
Incremental Re-training for Post-editing SMT

A method is presented for incremental re-training of an SMT system, in which a local phrase table is created and incrementally updated as a file is translated and post-edited. It is shown that translation data from within the same file has higher value than other domain-specific data. In two technical domains, within-file data increases BLEU score by several full points. Furthermore, a strong recency effect is documented; nearby data within the file has greater value than more distant data. It is also shown that the value of translation data is strongly correlated with a metric defined over new occurrences of n-grams. Finally, it is argued that the incremental re-training prototype could serve as the basis for a practical system which could be interactively updated in real time in a post-editing setting. Based on the results here, such an interactive system has the potential to dramatically improve translation quality.
Research based on large-scale data query with mapreduce technology in cloud computing

In many structured data management system, the data query works only by a full table query. So the query performance is very low. To solve this problem, a method based on Map/Reduce is proposed. In this paper, the real scene of cloud computing is elaborated on. It is introduced that the infrastructure framework used in the method.
Can social media reveal the preferences of voters? A comparison between sentiment analysis and traditional opinion polls

ABSTRACT This study aims to determine whether the results obtained by applying sentiment analysis to data extracted from social media can reveal the political preferences of citizens to a greater degree of accuracy than traditional public opinion surveys. The researcher collected and analyzed 92,441 tweets related to the Brazilian presidential candidates during the second round of elections in 2014. The analysis results were compared with six voter preference polls conducted by the Datafolha Research Institute. The results showed that sentiment analysis may indicate voter preferences at an accuracy that was only 1% to 8% different than that of traditional research, which has an average accuracy of 81.05%.
Building Light Weight CORBA Based Middleware for the CAN Bus Systems

The software components of embedded control systems get extremely complex as they are designed into distributed sys- tems consisting of a large number of inexpensive microcontrollers interconnected by low-bandwidth real-time networks such as the controller area network (CAN). While recently emerging middleware technologies such as CORBA and DCOM address the com- plexity of distributed programming, they cannot be directly applied to distributed control system design due to their excessive re- source demand and inadequate communication models. In this paper, we propose a CORBA -based middleware design for CAN- based distributed embedded control systems. Our design goal is to minimize its resource need and make it support group communica- tion without losing the IDL (interface definition language) level compliance to the OMG standards. To achieve this, we develop a transport protocol on the CAN and a group communication scheme based on the well-known publisher/subscriber model. The proto- col effectively realizes subject-based addressing and supports anonymous publisher/subscriber communication. We also customize the method invocation and message passing protocol, referred to as the general inter-ORB protocol (GIOP), of CORBA so that CORBA method invocations are efficiently serviced on a low-bandwidth network such as the CAN. This customization includes packed data encoding and variable-length integer encoding for compact representation of IDL data types. We have implemented our CORBA -based middleware on the mArx real-time operating system we have developed at Seoul National University. Our experiments clearly demonstrate that it is feasible to use CORBA in developing distributed embedded control sys- tems possessing severe resource limitations. Our design clearly demonstrates that it is feas ible to use a CORBA -based middleware in developing distributed embedded systems on real-time networks possessing severe resource limitations.
A Hybrid Personalized Recommendation Method Based on Dynamic Bayesian Network

With the rapid growth and wide application of electronic commerce, lots of information comes forth to people. However, our experiences and knowledge often do not enough to process the vast amount of information. The problem of obtaining useful information becomes more and more serious. To deal with the problem, the personalized service and recommender system play a more important role in many fields and collaborative filtering is one of the most successful technologies in recommender systems. However, with the tremendous growth in the amount of items and users, most collaborative filtering algorithms suffer from data sparsity which leads to inaccuracy of recommendation. Aiming at the problem of data sparsity, a hybrid personalized recommendation method based on dynamic Bayesian networks is presented. This method uses the dynamic Bayesian network technique to fill the vacant ratings at first, and then employs the user-based collaborative filtering to produce recommendations.
Evaluation of antioxidant effect of Nerium indicum in anxious rats

Aim: The aim of this study was to analyze the ethyl acetate extract of Nerium indicum (NIE) flower for its antioxidant effect in anxious Sprague–Dawley rats. Materials and Methods: Animals were divided into six groups (n = 6) and treated with 200 mg/kg and 400 mg/kg p.o. of NIE for 21 days to assess its preventive and curative effects. Anxiety was induced by isolating animals socially for 21 days. Elevated plus maze (EPM) and light and dark model were used for measuring anxiety in animals. Oxidative stress parameters such as lipid peroxidation (LPO), superoxide dismutase (SOD), catalase (CAT), and reduced glutathione (GSH) in blood and brain tissue homogenate were monitored after 21 days of social isolation in animals. Results: Rats were treated with NIE 200 mg/kg and 400 mg/kg p.o. Both the treatments showed a significant (P < 0.001) increase in the number of open arm entries and time spent in open arm in EPM when compared with the negative control. Results also demonstrated that there was a significant (P < 0.001) increase in the number of lightbox entries and time spent in light box in light and dark model when compared with negative control. There was a significant (P < 0.001) improvement in endogenous anti-oxidants such as SOD, CAT, reduced GSH, and decreased levels of LPO in blood and brain tissue when compared with the negative control. Conclusion: The present study suggests the role of NIE in the treatment of anxiety, possibly by modulating the oxidative stress.
Affect-robust speech recognition by dynamic emotional adaptation

Automatic Speech Recognition fails to a certain extent when confronted with highly affective speech. In order to cope with this problem we suggest dynamic adaptation to the actual user emotion. The ASR framework is built by a hybrid ANN/HMM mono-phone 5k bi-gram LM recognizer. Based hereon we show adaptation to the affective speaking style. Speech emotion recognition takes place prior to the actual recognition task to choose appropriate models. We therefore focus on fast emotion recognition based on low extra feature extraction effort. As databases for proof-of-concept we use a single digit task and sentences from the well-known WSJ-corpus. These have been re-recorded in acted neutral and angrily speaking style under ideal acoustic conditions to exclude other influences. Effectiveness of acoustic emotion recognition is also proved on the SUSAS corpus. We finally evaluate the need of adaptation and demonstrate significant superiority of our dynamic approach to static adaptation.
Enhancing the performance of Decoupled Software Pipeline through Backward Slicing

The rapidly increasing number of cores available in multicore processors does not necessarily lead directly to a commensurate increase in performance: programs written in conventional languages, such as C, need careful restructuring, preferably automatically, before the benefits can be observed in improved run-times. Even then, much depends upon the intrinsic capacity of the original program for concurrent execution. The subject of this paper is the performance gains from the combined effect of the complementary techniques of the Decoupled Software Pipeline (DSWP) and (backward) slicing. DSWP extracts threadlevel parallelism from the body of a loop by breaking it into stages which are then executed pipeline style: in effect cutting across the control chain. Slicing, on the other hand, cuts the program along the control chain, teasing out finer threads that depend on different variables (or locations). parts that depend on different variables. The main contribution of this paper is to demonstrate that the application of DSWP, followed by slicing offers notable improvements over DSWP alone, especially when there is a loop-carried dependence that prevents the application of the simpler DOALL optimization. Experimental results show an improvement of a factor of ? 1.6 for DSWP + slicing over DSWP alone and a factor of ? 2.4 for DSWP + slicing over the original sequential code.
Supporting Diverse Young Adolescents: Cooperative Grouping in Inclusive Middle-level Settings

ABSTRACT The middle level classroom presents unique challenges to educators who strive to provide opportunities that acknowledge learner diversity in terms of social, cognitive, physical, and emotional development. This is confounded even further within inclusive middle-school classrooms where the responsibility to differentiate instruction is even more critical. One way to meet the needs of all students is through cooperative grouping. Through cooperative grouping, middle-level educators can differentiate instruction and promote active learning by leveraging the naturally social nature of young adolescents. In this article, the authors present research on cooperative grouping as well as several considerations for effectively designing and implementing cooperative grouping for middle-level learners in an inclusive setting. Suggestions and examples with regard to group size, membership, group structure and roles, and classroom management and clear expectations are provided. Additionally, the four-clue group strategy is presented as a specific instructional method to support effective group learning experiences in the inclusive middle-level classroom.