Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation and experimental studies on passive-dynamic walker that consists of two identical crossed frames

This paper proposes a novel spoke-like passive-dynamic walker that consists of two identical crossed frames whose center of mass is positioned on the central axis. The purpose of this study is to develop an easy test-bed for investigating the roles of double-support phase and swing-leg retraction in limit cycle walking. The crossed frame as a swing leg does not have inherent rotational dynamics, and it rotates only in the presence of viscous friction at the central axis. We first analyze the properties of this walker through mathematical modeling. Next, we numerically investigate the gait efficiency, and discuss the effect of inertia moment and mass distribution of the crossed frame. Finally, we briefly report our experimental results.
Tools for large-scale learning

A batch learning algorithm takes as input the training data and returns a classifier. Later, we’ll also talk about randomized classifiers f ; the probability defining err(f) is then taken with respect to both the internal randomization in f as well as the random draw (x, y) from P. We abstractly think of an online prediction algorithm as taking as input a sequence of n labeled examples, and producing a sequence of classifiers f1, f2, . , fn, fn+1 : X → {±1}. The t-th classifier ft can only depend on the first t−1 labeled examples. Although not all online prediction algorithms fit this template, it is sufficient for most cases.
Cellular Communications for Smart Grid Neighborhood Area Networks: A Survey

This paper surveys the literature related to the evolution of cellular communications as a key enabling technology for fundamental operations of smart grid neighborhood area networks (NANs). The latest releases of the LTE standard, representing the recent advancements in cellular technology, offer significant benefits to the modernization of the aging power distribution grid compared with other communication technologies. However, since LTE was not originally designed for smart grid applications, important challenges remain unsolved before it can efficiently support advanced NAN functionalities. This survey identifies the limitations of LTE and provides a comprehensive review of the most relevant proposed architectural and protocol enhancements for the communication infrastructure associated with smart grid NANs that can be found in the literature to date. As device-to-device (D2D) communications in LTE standards are a promising technology for reducing delay and boost reliability, this paper dwells on the potential gains that can be achieved by enabling direct communication using cellular networks, and also discusses in detail LTE-D2D applicability in representative NAN use cases in the power distribution grid. We conclude by stating open issues and providing research directions for future research in the field. This paper constitutes the first comprehensive survey of proposed LTE-enhancement and D2D solutions for smart grid NANs.
A new matrix-based association rules mining algorithm

A new association rules mining algorithm is put forward in this paper,The algorithm directly generate k-itemsets using an idea of (k-1)-itemsets vector and the corresponding matrix multiplication sequentially. Realize Itemsets spanning search and connection. The whole process only scans the database once and don't produce candidate itemsets. Experiment shows that the algorithm greatly improves the efficiency of data mining.
Evaluation of a cough-specific quality-of-life questionnaire.

STUDY OBJECTIVE To psychometrically evaluate a cough-specific quality-of-life questionnaire (CQLQ) in adults. DESIGN Prospective evaluation of CQLQ using three different cohorts of adult subjects with cough. SETTING Academic tertiary-care ambulatory medical facilities. PARTICIPANTS One hundred fifty-four subjects complaining of chronic cough, 30 of acute cough, and 31 smokers with cough. INTERVENTIONS Self-administration of the CQLQ in acute coughers, smokers, and chronic coughers before and after therapy. MEASUREMENTS Psychometric analyses including factor analysis (FA), and assessments of reliability and validity. RESULTS Acute and chronic cough data were subjected to FA, and the Cronbach alpha and interitem correlations were computed. FA of chronic and acute cough data (n = 184) revealed six subscales. The Cronbach alpha for the total CQLQ was 0.92, and it was 0.62 to 0.86 (mean, 0.76) for the six subscales. Interitem correlations for the total CQLQ ranged from -0.06 to 0.72, with a mean of 0.28. Test-retest reliability in 52 chronic coughers demonstrated nonsignificant changes with readministration of the questionnaire, and the intraclass correlation for total CQLQ was 0.89, and for the subscales the range was 0.75 to 0.93. Analysis of variance followed by tests of contrasts among all possible pairings of chronic coughers, acute coughers, and smokers showed significant differences (p < or = 0.001) among the groups. Posttreatment cure scores were significantly lower (p < or = 0.001) than pretreatment scores in 24 chronic coughers. CONCLUSIONS The 28-item CQLQ has dimensionality that is consistent with a cough-specific quality-of-life instrument. It is a valid and reliable method by which to assess the impact of cough on the quality of life of chronic and acute coughers, and the efficacy of cough therapies in chronic coughers.
Incorporating a domain analysis approach in the indexing process

Peledakan informasi yang terjadi saat ini membuat pengindeksan sebagai proses yang penting dalam penelusuran informasi. Masalah masalah yang berkenaan dengan analisis isi dan kebutuhan pemakai muncul saat pembuatan indeks. Berbagai penerapan Ieiah dilakukan, namun selalu saja muncul masalah lain seperti tidak terjawabnya kebutuhan pemakai dan kesulitan dalam pemenuhan kriteria dalam pengindeksan. Pendekatan domain analysis merupakan suatu alternative yang menjawab masalah-masalah tersebut di mana pengindeks dengan mudah mengevaluasi kebutuhan informasi pemakai; menentukan quality judgment; menggali topik dan istilah dalam isi suatu informasi. Tulisan ini akan memaparkan bagaimana pendekatan domain analisis digunakan dan manfaatyang akan diperoleh dan penggunaannya. Kata Kunci: indexing, quality judgment
Modeling Oxygen-transfer by Multiple Plunging Jets using Support Vector Machines and Gaussian Process Regression Techniques

The paper investigates the potential of support vector machines and Gaussian process based regression approaches to model the oxygen–transfer capacity from experimental data of multiple plunging jets oxygenation systems. The results suggest the utility of both the modeling techniques in the prediction of the overall volumetric oxygen transfer coefficient (KLa) from operational parameters of multiple plunging jets oxygenation system. The correlation coefficient root mean square error and coefficient of determination values of 0.971, 0.002 and 0.945 respectively were achieved by support vector machine in comparison to values of 0.960, 0.002 and 0.920 respectively achieved by Gaussian process regression. Further, the performances of both these regression approaches in predicting the overall volumetric oxygen transfer coefficient was compared with the empirical relationship for multiple plunging jets. A comparison of results suggests that support vector machines approach works well in comparison to both empirical relationship and Gaussian process approaches, and could successfully be employed in modeling oxygen-transfer. Keywords—Oxygen-transfer, multiple plunging jets, support vector machines, Gaussian process.
Effect of Xylanase on Performance and Apparent Metabolisable Energy in Starter Broilers Fed Diets Containing One Maize Variety Harvested in Different Regions of China

The objective of this study was to investigate the variability in broiler performance, apparent metabolisable energy (AME) and ileal digestible energy (IDE) between five different maize samples fed with and without xylanase at 16,000 U/kg. Various in vitro characterisations were conducted to determine if any could predict performance or AME. Samples of the maize were harvested in five diverse regions and fed individually in a mash diet as follows (g/kg): test maize 608.3; soya bean meal (SBM) 324.1; poultry fat 25.2; salt 4.6; met 2.6; lys 1.6; thr 0.5; limestone 9.7, dical 18.4; vit/min 5.0; CP 210 and ME (kcal/kg) 3,085. The diets were fed to 720 broilers with 6 replicates, each containing 12 birds per treatment, from 0 to 18 d of age. Maize samples were analysed for starch, protein, crude fibre, fat, protein solubility index (PSI) and vitreousness using near infra red reflectance spectroscopy (NIR). They were also assayed using an in vitro starch digestibility method. The results showed that there was no effect of harvest region on the feed intake (FI), body weight gain (BWG) or feed conversion ratio (FCR) of the broilers over the 18 d period (p = 0.959, 0.926, 0.819 respectively). There was an improvement in all parameters with the addition of xylanase (FI p = 0.011; BWG and FCR p<0.001). There was a significant positive effect of xylanase on IDE, AME, IDE Intake (IDEI) and AME intake (AMEI) (p<0.0001 in all cases). Although there was no significant effect of maize source, there was a strong trend towards variability in IDE (p = 0.066) and AME (p = 0.058). There were no significant correlations (p<0.05) between any proximate or physiochemical values and any performance or AME values. This may suggest that none of those selected were suitable predictors for performance or AME. The broilers performed well according to the breed guidelines, with slightly increased FI, increased BWG and similar FCR prior to the addition of xylanase. When FCR and BWG were analysed with FI as a covariate, xylanase addition remained significant suggesting that the improvement in BWG and FCR was driven by an increase in digestibility and nutrient availability.
Spectrin isoforms in the mammalian retina

Spectrin is a major component of the mammalian neuronal cytoskeleton. In the CNS, three isoforms of brain spectrin are known to exist: a cellular and dendritic isoform, (240/235E), related to neurons and glia; a cellular and axonal isoform, (240/235), related to neurons; and an isoform specific for astrocytes, (240/235A). In the present study, brain spectrins (240/235E) and (240/235) were localized within the mouse retina and optic nerve. Immunoblot analyses of proteins isolated from mouse retinas utilizing polyclonal antibodies to either brain spectrin (240/235) or brain spectrin (240/235E) revealed that these spectrins are present in the retina and that the two isoforms are the same molecular weights as those found in the brain. Immunocytochemical studies revealed that spectrin (240/235E) was localized in cell bodies of the inner nuclear, outer nuclear, and ganglion cell layers, and processes arborizing within the inner and outer plexiform layers. Spectrin (240/235) was distributed diffusely within the retina, lightly staining neurons in both the inner nuclear and outer nuclear layers, and the ganglion cell layer. In contrast to the situation found in the brain, spectrin (240/235) was but one of the axonal forms in the retina. We found that spectrin (240/235E) was also present in the axon- rich fiber layer and in the optic nerve and was often associated with fibrous elements. Spectrin (240/235) was also detected in the nerve fiber layer and optic nerve, but this isoform was not localized to fibers. (ABSTRACT TRUNCATED AT 250 WORDS)
Forms of Bullying Scale: evidências de validade de construto da versão brasileira

espanolEl objetivo de este estudio ha sido adaptar la Forms of Bullying Scale (FBS) al contexto brasileno, reuniendo evidencias de su validez y fiabilidad. Participaron 377 estudiantes de primaria de dos escuelas en Joao Pessoa-PB. Estos tenian edad promedia de 12,8 anos (DE=1.44), siendo la mayoria mujeres (52,4%), respondiendo a la FBS y preguntas sociodemograficas. Un analisis factorial confirmatorio apoyo la estructura teorizada de dos factores (c²/gl = 2,34, GFI=0,90, RMSEA=0,06), que se demostro invariable con respecto al genero de los participantes (ΔRMSEA EnglishThis study aimed to validate the Forms of Bullying Scale (FBS) to the Brazilian context, gathering evidence of validity and accuracy. Participants were 377 elementary students from two schools from Joao Pessoa-PB. Their average age was 12.8 years (SD=1.44), mostly female (52.4%), having answered the FBS and sociodemographic questions. A two-factor structure was corroborated by a confirmatory factor analysis (χ2/gl=2.34, GFI=0.90, RMSEA=0.06), which was invariant according to participants’ gender (ΔRMSEA portuguesO presente estudo objetivou validar a Forms of Bullying Scale (FBS) ao contexto brasileiro, reunindo evidencias de validade e precisao. Participaram 377 estudantes do ensino fundamental de duas escolas municipais de Joao Pessoa, Paraiba, cuja media de idade era de 12,8 anos (DP=1,44), sendo a maioria do sexo feminino (52,4%), que responderam a FBS e perguntas sociodemograficas. Uma analise fatorial confirmatoria corroborou a estrutura de dois fatores da medida (χ²/gl=2,34, GFI=0,90, RMSEA=0,06), que se mostrou invariante em relacao ao sexo dos participantes (ΔRMSEA
Simulating Cooperative Behaviors in Dynamic Networks

Agent-based social simulation uses agent systems to study social behaviors and phenomena. A difficulty in producing social simulations lies in the problem of modeling the emergence of social norms. Although empirical evidence has provided insight into how human relationships are organized, the way in which those relationships are used to produce cooperative behavior where each agent only seeks to maximize its own utility is not well defined. This paper proposes a new rule called the Highest Rewarding Neighborhood HRN for social interactions. The HRN rule allows agents to remain selfish and be able to break relationships in order to maximize their utility. Our experiment shows that when agents are able to break unrewarding relationships that a Pareto-optimum strategy arises as the social norm. In addition, the authors conclude the rate and amount of Pareto-optimum strategy that arises is dependent on the network structure when the networks are dynamic, and the rate is independent of the network structure when the networks are static.
Renal Functional Reserve and Renal Recovery after Acute Kidney Injury

Renal functional reserve (RFR) represents the capacity of the kidney to increase glomerular filtration rate (GFR) in response to certain physiological or pathological stimuli or conditions. Once baseline GFR is determined, RFR can be assessed clinically after an oral protein load or intravenous amino acid infusion. In clinical practice, baseline GFR displays variable levels due to diet or other factors. RFR is the difference between peak ‘stress' GFR induced by the test (p.o. or i.v.) and the baseline GFR. In clinical scenarios where hyperfiltration is present (high baseline GFR due to pregnancy, hypertension or diabetic nephropathy, in solitary kidney or kidney donors), RFR may be fully or partially used to achieve normal or supranormal renal function. Since commonly used renal function markers, such as GFR, may remain within normal ranges until 50% of nephrons are lost or in patients with a single remnant kidney, the RFR test may represent a sensitive and early way to assess the functional decline in the kidney. RFR assessment may become an important tool to evaluate the ability of the kidney to recover completely or partially after a kidney attack. In case of healing with a defect and progressive fibrosis, recovery may appear complete clinically, but a reduced RFR may be a sign of a maladaptive repair or subclinical loss of renal mass. Thus, a reduction in RFR may represent the equivalent of renal frailty or susceptibility to insults. The main aim of this article is to review the concept of RFR, its utility in different clinical scenarios, and future perspective for its use.
Domain Filtering Consistencies

Enforcing local consistencies is one of the main features of constraint reasoning. Which level of local consistency should be used when searching for solutions in a constraint network is a basic question. Arc consistency and partial forms of arc consistency have been widely studied, and have been known for sometime through the forward checking or the MAC search algorithms. Until recently, stronger forms of local consistency remained limited to those that change the structure of the constraint graph, and thus, could not be used in practice, especially on large networks. This paper focuses on the local consistencies that are stronger than arc consistency, without changing the structure of the network, i.e., only removing inconsistent values from the domains. In the last five years, several such local consistencies have been proposed by us or by others. We make an overview of all of them, and highlight some relations between them. We compare them both theoretically and experimentally, considering their pruning efficiency and the time required to enforce them.
A Systematic Review on the Reliability and Validity of Semistructured Diagnostic Interviews for Borderline Personality Disorder

There are many semistructured diagnostic interviews to assess borderline personality disorder (BPD), although the reliability and validity of these instruments has not been comprehensively reviewed. In this systematic literature review, Medline and PsycINFO databases were searched for studies evaluating the reliability and validity of diagnostic interviews used to assess BPD. Following a screening of search results and a review by independent raters, 53 studies were included in the review. Instruments were evaluated based on their reliability (interrater, test–retest, and internal consistency) and validity (convergent, discriminant, and criterion-related). Whereas many interviews have been extensively studied and received substantial support for their reliability and certain aspects of validity, some instruments were infrequently investigated and comparatively less data were available on their reliability and validity. Regardless of the diagnostic interview, dimensional assessments were consistently more reliable than categorical diagnoses of BPD. Overall, there was reasonably strong support for the reliability of semistructured diagnostic interviews for BPD, although continued work is needed to establish the validity of these instruments.
The weighted diagnostic distortion (WDD) measure for ECG signal compression

In this paper, a new distortion measure for electrocardiogram (ECG) signal compression, called weighted diagnostic distortion (WDD) is introduced. The WDD measure is designed for comparing the distortion between original ECG signal and reconstructed ECG signal (after compression). The WDD is based on PQRST complex diagnostic features (such as P wave duration, QT interval, T shape, ST elevation) of the original ECG signal and the reconstructed one. Unlike other conventional distortion measures [e.g. percentage root mean square (rms) difference, or PRD], the WDD contains direct diagnostic information and thus is more meaningful and useful. Four compression algorithms were implemented (AZTEC, SAPA2, LTP, ASEC) in order to evaluate the WDD. A mean opinion score (MOS) test was applied to test the quality of the reconstructed signals and to compare the quality measure (MOS/sub error/) with the proposed WDD measure and the popular PRD measure. The evaluators in the WIGS test were three independent expert cardiologists, who studied the reconstructed ECG signals in a blind and a semiblind tests. The correlation between the proposed WDD measure and the MOS test measure (MOS/sub error/) was found superior to the correlation between the popular PRD measure and the MOS/sub error/.
A Unified View-Graph Selection Framework for Structure from Motion

View-graph is an essential input to large-scale structure from motion (SfM) pipelines. Accuracy and efficiency of large-scale SfM is crucially dependent on the input view-graph. Inconsistent or inaccurate edges can lead to inferior or wrong reconstruction. Most SfM methods remove `undesirable' images and pairs using several, fixed heuristic criteria, and propose tailor-made solutions to achieve specific reconstruction objectives such as efficiency, accuracy, or disambiguation. In contrast to these disparate solutions, we propose a single optimization framework that can be used to achieve these different reconstruction objectives with task-specific cost modeling. We also construct a very efficient network-flow based formulation for its approximate solution. The abstraction brought on by this selection mechanism separates the challenges specific to datasets and reconstruction objectives from the standard SfM pipeline and improves its generalization. This paper demonstrates the application of the proposed view-graph framework with standard SfM pipeline for two particular use-cases, (i) accurate and ghost-free reconstructions of highly ambiguous datasets using costs based on disambiguation priors, and (ii) accurate and efficient reconstruction of large-scale Internet datasets using costs based on commonly used priors.
An Enhanced Architecture for Feature Based Opinion Mining from Product Reviews

Opinion mining analyse the word written in a natural language about a subject and categorize them as positive negative or neutral based on the human's sentiments, emotion, opinions expressed in it. Today user opinions and comments on products on the web are increasing day by day. These comments are useful for other users to buy a product. The manual investigation of such enormous number of reviews is practically not possible. To solve this difficulty an automatic approach of a machine to mine the overall sentiment or opinion polarity from the reviews is needed. This paper focus on the feature based opinion mining of product reviews.
Secured Distributed Cognitive MAC and Complexity Reduction in Channel Estimation for the Cross Layer based Cognitive Radio Networks

Secured opportunistic Medium Access Control (MAC) and complexity reduction in channel estimation are proposed in the Cross layer design Cognitive Radio Networks deploying the secured dynamic channel allocation from the endorsed channel reservation. Channel Endorsement and Transmission policy is deployed to optimize the free channel selection as well as channel utilization to cognitive radio users. This strategy provide the secured and reliable link to secondary users as well as the collision free link to primary users between the physical and MAC layers which yields the better network performance. On the other hand, Complexity Reduction in Minimum Mean Square Errror (CR-MMSE) and Maximum Likelihood (CR-ML) algorithm on Decision Directed Channel Estimation (DDCE) is deployed significantly to achieve computational complexity as Least Square (LS) method. Rigorously, CR-MMSE in sample spaced channel impulse response (SS-CIR) is implemented by allowing the computationally inspired matrix inversion. Regarding CR-ML, Pilot Symbol Assisted Modulation (PSAM) with DDCE is implemented such the pilot symbol sequence provides the significant performance gain in frequency correlation using the finite delay spread. It is found that CRMMSE demonstrates outstanding Symbol Error Rate (SER) performance over MMSE and LS, and CR-ML over MMSE and ML.