Miracle-dz/UniFAR-FTUs huggingface dataset:
An efficient framework for recommendation of Hindustani Art Music

Music directly connects to soul and induces emotions in mind and brain. Hindustani Art music (HAM) has nine different aesthetic delights and in turn various moods and emotions associated with it. It is also associated with seasons and time of day. HAM has many applications in music therapy and meditation. So, an exclusive Recommender system for HAM will help listeners to change their mood and rejuvenate their psychological and physiological health conditions. A framework for recommendation of HAM by extracting various attributes, features and properties of music and using a hybrid filtering approach for recommendation is presented. The traditional Nava-Rasa model is suitable for HAM with which we can track the emotions associated with this music.
Multi-layer Neural Network for Servo Motor Control

AC servo systems are extensively used in robotic actuators and are competing with DC servo motors for motion control because of their favorable electrical and mechanical properties. This paper presents an approach towards the control system tuning for the speed control of an AC servo motor. An approach towards speed control of servo motor in presence of system parameter variations is presented. Multi-layer Artificial Neural Networks are designed and trained to model the plant parameter variations. Improvements in the speed control performance are presented for smaller variations and larger variations in the motor parameters and the load conditions.
Alpha-emitter induced soft-errors in CMOS 130nm SRAM: Real-time underground experiment and Monte-Carlo simulation

This work reports a long-duration (> 2 years) realtime characterization study of SRAM memories at the underground laboratory of Modane (LSM) to quantify alphaemitter radioactive impurities present in the circuit materials and responsible of soft-errors detected in absence of atmospheric neutrons. Experimental data have been obtained using ∼3.5 Gbit of SRAMs manufactured in CMOS 130 nm technology. In a second part of this work, the underground experiment is simulated using a Monte-Carlo code to extract the contamination level related to the disintegration chain of uranium in silicon at secular equilibrium. Results are finally compared to data obtained from experimental counting experiments using an ultra low background alpha-particle gas proportional counter.
Characterization of Surface-Wave and Leaky-Wave Propagation on Wire-Medium Slabs and Mushroom Structures Based on Local and Nonlocal Homogenization Models

In this paper, a nonlocal homogenization model is proposed for the analysis of the spectrum of natural modes on sub-wavelength mushroom-type high-impedance surfaces composed of a capacitive grid connected to a grounded wire-medium (WM) slab. Modal characteristics of mushroom structures are studied in conjunction with the surface-wave and leaky-wave propagation on WM slabs based on local and nonlocal homogenization models, showing the importance of spatial dispersion (SD) in WM. It is shown that mushroom structures support proper real (bound) forward and backward modes, whose dispersion determines the stopband properties of the mushroom structure, and proper (exponentially decaying from the surface) and improper (exponentially growing from the surface) complex leaky-wave modes related to the backward and forward radiation, respectively. Results obtained by different homogenization models are compared leading to important conclusions. Specifically, an interesting observation concerns the mushroom structures with short vias, wherein the SD of the WM slab is significantly reduced, and the results of local and nonlocal homogenization models are in excellent agreement.
Searching for web communities through site level link and content analysis

In recent years, heavy user growth in Web 2.0 applications such as blogs and online social networks has helped support studies into classifying various web communities. Researchers have made many interesting finds, e.g. identifying subgroups within large "blogospheres. " However, there has been less focus starting from a small community of sites to find other sites that are potentially part of the same community. We propose using a specialized crawler that, given a set of seed sites, aims to identify other sites that also belong in the same community. We have developed a prototype community crawler, CLASSIC (Content and Link Analysis of Social Structure on Internet Communities), that utilizes a combination of link and content analyses for our task. Unlike standard crawlers that perform most operations on each page it traverses, since we are searching for community sites, CLASSIC's unit of analysis is at the site level. Preliminary test runs reveal that variations in how the content and link analyses are weighted can lead to significantly different results in identification of potential community sites. CLASSIC's combination of different analysis methods provides a unique lens into viewing online communities and helping their members find other sites that share similar interests.
Bridging the gap between advanced control methods and industrial control applications: Shortcomings of the current nonlinear PID Method and new research lines to its enhancing

As the performance requirements become more demanding and the plants become more and more complex, control designers were naturally forced to look beyond traditional linear control theory and attempt to find more advanced nonlinear methods. However, it has been very difficult to overcome the huge gap between the current knowledge, researched by the scientific automatic control community, and its application in the industrial environment. In this paper, it is proposed to consider the nonlinear PID as the method to deal with this hitch. The current nonlinear PID methodologies were reviewed and their shortcomings presented. The main aim is to objectify new research lines that may enhance it, in order to ensure that the evolution of industrial control systems is strongly linked to that of the control techniques.
Constitutive CCND1/CDK2 Activity Substitutes for p53 Loss, or MYC or Oncogenic RAS Expression in the Transformation of Human Mammary Epithelial Cells

Cancer develops following the accumulation of genetic and epigenetic alterations that inactivate tumor suppressor genes and activate proto-oncogenes. Dysregulated cyclin-dependent kinase (CDK) activity has oncogenic potential in breast cancer due to its ability to inactivate key tumor suppressor networks and drive aberrant proliferation. Accumulation or over-expression of cyclin D1 (CCND1) occurs in a majority of breast cancers and over-expression of CCND1 leads to accumulation of activated CCND1/CDK2 complexes in breast cancer cells. We describe here the role of constitutively active CCND1/CDK2 complexes in human mammary epithelial cell (HMEC) transformation. A genetically-defined, stepwise HMEC transformation model was generated by inhibiting p16 and p53 with shRNA, and expressing exogenous MYC and mutant RAS. By replacing components of this model, we demonstrate that constitutive CCND1/CDK2 activity effectively confers anchorage independent growth by inhibiting p53 or replacing MYC or oncogenic RAS expression. These findings are consistent with several clinical observations of luminal breast cancer sub-types that show elevated CCND1 typically occurs in specimens that retain wild-type p53, do not amplify MYC, and contain no RAS mutations. Taken together, these data suggest that targeted inhibition of constitutive CCND1/CDK2 activity may enhance the effectiveness of current treatments for luminal breast cancer.
Pedobarographic Analysis Following Pemberton's Pericapsular Osteotomy for Unilateral Developmental Dysplasia of the Hip

Abstract Successful clinical and radiographic outcomes have been reported in patients with unilateral developmental dysplasia of the hip (DDH) following Pemberton pericapsular osteotomy (PPO). However, residual gait deviations are seen in both the affected and unaffected limbs. To date it is not known whether these deviations result in abnormal plantar pressure in such patients. This study investigated this possibility by performing pedobarographic, clinical, and radiographic examinations after PPO in 20 patients (age: 102.5 ± 19.0 months) with unilateral DDH who underwent PPO at 34.2 ± 9.8 months of age. Plantar pressure was evaluated using the Footscan pressure plate (RsScan International, Olen, Belgium). Each foot was subdivided into 10 zones and peak pressure, force–time integral as a percentage of total FTI, and contact time as a percentage of total stance time was estimated. The minimum duration of follow-up was 24 months (mean: 68.3 ± 20.3 months). The data were compared with 20 age- and weight-matched healthy controls. Despite clinical and radiographic examinations showing satisfactory results according to modified McKay and Severin criteria, significant differences in plantar pressure parameters were identified between the affected limbs, the unaffected limbs, and normal controls. No significant differences were found between patients classified as “excellent or good” and those rated as “fair” according to the modified Severin criteria. Pedobarographic results showed the existence of the residual plantar pressure deviations during walking in patients treated with PPO for unilateral DDH. Longer follow-up will be needed to more fully evaluate the effect of these deviations on gait.
Sensorless control strategy for salient-pole PMSM based on extended EMF in rotating reference frame

This paper presents a novel sensorless control strategy for a salient-pole permanent magnet synchronous motor. A new model of salient-pole PMSM using an extended electromotive force (EMF) in the rotating reference frame is utilized to estimate both position and speed. The extended EMF is estimated by a least-order observer, and the estimation position error are obtained from the extended EMF. Both estimated position and speed are corrected so that the position error becomes zero. The proposed system is very simple and the design procedure is easy and clear. Several experimental drive tests are demonstrated and the experimental results show the effectiveness of the proposed sensorless control system.
Improving Schools: Using What We Know

Improving Schools presents a state-of-the-art review of current issues in research on knowledge use and the process of educational change. Six distinguished scholars examine how elementary and secondary schools utilize educational innovations -- new ideas, materials, and technologies -- to improve their organizations. Current research on knowledge use is surveyed, and vital questions are raised concerning current perceptions of the nature of schools. The foundation that emerges will aid future researchers in the discipline to build in a more systematic fashion, while the issues raised significantly contribute to the broad field of knowledge utilization and organizational analysis.
Section Ii-exercise Physiology & Sports Medicine Effect of a Six-week Preparation Period on Acute Physiological Responses to a Simulated Combat in Young National-level Taekwondo Athletes Material and Methods

The aim of this study was to examine changes in physical attributes, physiological characteristics and responses that occurred in a simulated combat during a six-week preparatory period in young taekwondo athletes. Seven athletes (age 12.17 ±1.11 years) were examined before (pre-intervention) and after (post-intervention) a preparatory period for physical fitness and physiological responses to a 2×90 s simulated bout with a 30 s rest period. The heart rate (HR) was monitored during the simulated combat, and handgrip muscle strength (HMS) along with the countermovement jump (CMJ) were recorded before and after the combat. When compared with pre-intervention values, in post-intervention we observed a decrease in body mass, body fat percentage, and the HR at rest and during recovery after a 3 min step test, and an increase in maximal velocity of the cycle ergometer force-velocity test, the CMJ and mean power during the 30 s continuous jumping test (p<0.05). Furthermore, HR responses to a simulated combat were lower in the post-intervention session (p<0.05). CMJ values increased after the bout in both pre and post-intervention, with higher absolute values in the latter case (p<0.05), whereas there was no difference in HMS. Based on these findings, it can be concluded that the acute physiological responses to a simulated taekwondo combat vary during a season, which might be explained by changes in physical fitness. Introduction Taekwondo is an Olympic combat sport (Bridge et al., 2014) renowned for its kicking techniques (Fong et al., 2013). It is of Korean origin and is practiced in more than 180 countries (Fong and Ng, 2011). Taekwondo is characterized by specific physiological demands, including dynamic phases and powerful kicks (Hammami et al., 2013). Coaches recognize that certain motor and functional skills have a significant impact on sports performance (Čular et al., 2013). International taekwondo athletes possess low levels of body fat, moderate to high levels of cardiorespiratory fitness and high anaerobic power (Bouhlel et al. 116 Effect of a six-week preparation period on acute physiological responses to a simulated combat 2006). Professional taekwondo athletes when compared with amateurs and non-athletes have better neuromotor abilities and faster reactions to sport-specific stimuli (Chung and Ng, 2012). Compared with less successful national-level athletes in this sport, those who were classified as successful have less body fat, are taller, have better aerobic capacity, explosive power and agility (Marković et al., 2005). Taekwondo medalists in the Olympic Games performed more defensive kicks to …
Real-time drowsiness detection system for an intelligent vehicle

In the last years, the traffic accidents study is become important because they produce several died and hurt around the world. To help in reducing this fatality, in this paper, a new advanced driver assistance system (ADAS) for automatic driver's drowsiness detection based on visual information and artificial intelligent is presented. This system works on several stages to be fully automatic. In addition, the aim of this algorithm is to locate and to track the face and the eyes to compute a drowsiness index. Examples of different driver's images taken over real vehicle are shown to validate the algorithm that works in real time.
High-Frequency Deep Brain Stimulation of the Nucleus Accumbens Region Suppresses Neuronal Activity and Selectively Modulates Afferent Drive in Rat Orbitofrontal Cortex In Vivo

High-frequency deep-brain stimulation (DBS) of the nucleus accumbens (NAc) region is an effective therapeutic avenue for patients with treatment-resistant obsessive–compulsive disorder (OCD). Imaging studies suggest that DBS acts by suppressing the aberrant metabolism in the orbitofrontal cortex (OFC) that is a hallmark of OCD; however, little is known about the mechanisms by which this occurs. We examined the effects of 30 min NAc DBS at 130 Hz on spontaneously active OFC neurons and local field potentials (LFPs) in addition to evoked responses elicited by single-pulse stimulation of the NAc or mediodorsal thalamus (MD) in urethane-anesthetized rats. NAc DBS reduced the mean firing rate of OFC neurons, although neurons receiving monosynaptic input from MD were less affected and some putative interneurons were excited by DBS. Single-pulse stimulation of the NAc produced a robust inhibition in OFC neurons that was attenuated after DBS, whereas excitatory responses were unchanged. In contrast, after DBS inhibitory responses evoked from MD were unchanged, whereas excitatory responses were enhanced. NAc-evoked LFP responses were potentiated after DBS, whereas MD-evoked LFP responses were unchanged. NAc DBS also enhanced OFC spontaneous LFP oscillatory activity in the slow (0.5–4 Hz) frequency band. These results suggest that DBS of the NAc region may alleviate OCD symptoms by reducing activity in subsets of OFC neurons, potentially by driving recurrent inhibition though antidromic activation of corticostriatal axon collaterals. Moreover, selective potentiation of input to these inhibitory circuits may also contribute to the therapeutic effects produced by DBS in OCD patients.
Density and community structure of breeding birds in Macedonian pine Pinus peuce forests in Bulgaria

Breeding bird density and community structure in Macedonian pine forests were studied during 3 successive years (2004-2006) in the Pirin national park, Bulgaria. Bird sampling, using point counts, recorded 2583 birds belonging to 31 species. The relative density was computed for the most abundant 20 species by the DISTANCE software. The results show that Macedonian pine forests hold signifi- cant numbers of willow and coal tits, treecreeper, nutcracker, chaffinch and bullfinch and act as a potential "reservoir" for these species, not only regionally, but also on a national and possibly European scale. The overall bird density in the Macedonian pine forest was very similar to the mean overall bird density in the European temperate coniferous forests and was unstable among years. The variability was due mainly to the fluctuations in abundances of permanent residents and, to a lesser extent, short-distance migrants. However, the abun- dance of long-distance migrants remained relatively stable. A comparison with a previous study (from the 1970s) showed little evidence of significant changes in bird densities in this habitat over the past 40 years. Riassunto - Densita e struttura della comunita di uccelli nidificanti nelle foreste di Pinus peuce in Bulgaria. - Nel corso di 3 stagioni riproduttive successive (2004-2006), sono state studiate le densita e la struttura della comunita degli uccelli nidificanti nelle foreste di P. peuce nel parco nazionale Pirin (Bulgaria). Durante i censimenti, effettuati mediante punti d'ascolto, sono stati contattati 2583 individui appartenenti a 31 specie. La densita e stata stimata per le 20 specie piu abbondanti mediante il software DISTANCE. I risultati mostra- no che le foreste di P. peuce ospitano significative densita di cincia bigia alpestre, cincia mora, rampichino alpestre, nocciolaia, fringuel- lo e ciuffolotto, tanto da rappresentare un potenziale "serbatoio" per queste specie, non solo a scala regionale, ma potenzialmente anche a scala europea. La densita complessiva degli uccelli nidificanti e simile a quella mediamente riscontrata nelle foreste di conifere delle aree temperate europee e relativamente instabile tra anni. Tale variabilita e essenzialmente dovuta a fluttuazioni di abbondanza delle specie residenti e, in misura minore, dei migratori a corto raggio. Le abbondanze dei migratori a lunga distanza sono invece relativamente stabili tra anni. Il confronto con uno studio condotto in precedenza (negli anni '70 del secolo scorso) non evidenzia significativi cambi- amenti nelle densita di uccelli nidificanti in questo ambiente nell'arco degli ultimi 40 anni.
Classification of contamination in salt marsh plants using hyperspectral reflectance

In this paper, we compare the classification effectiveness of two relatively new techniques on data consisting of leaf-level reflectance from five species of salt marsh and two species of crop plants (in four experiments) that have been exposed to varying levels of different heavy metal or petroleum toxicity, with a control treatment for each experiment. If these methodologies work well on leaf-level data, then there is hope that they will also work well on data from air- and spaceborne platforms. The classification methods compared were support vector classification (SVC) of exposed and nonexposed plants based on the spectral reflectance data, and partial least squares compression of the spectral reflectance data followed by classification using logistic discrimination (PLS/LD). The statistic we used to compare the effectiveness of the methodologies was the leave-one-out cross-validation estimate of the prediction error. Our results suggest that both techniques perform reasonably well, but that SVC was superior to PLS/LD for use on hyperspectral data and it is worth exploring as a technique for classifying heavy-metal or petroleum exposed plants for the more complicated data from air- and spaceborne sensors.
AngioIQ: A Novel Automated Analysis Approach for Angiogenesis Image Quantification

Angiogenesis, a rigorously regulated process by which new blood vessels are formed, occurs under both physiological and pathological conditions, especially under tumor development. How to accurately quantify vessels in experimental models from angiogenesis assay is of great importance for assessing the angiogenic activity of drugs or chemical compounds. Currently, objective quantification of new vascular growth in chick embryo chorioallantoic membrane (CAM) assay, a popular in vivo angiogenesis assay, has been conducted by some available tools, for example, AngioQuant. However, these tools have some disadvantages, such as long running time and failure of image submission when using web-based tools. To achieve more accurate and faster quantification for angiogenesis in the CAM images, we present an optimal algorithm for angiogenesis image quantification, termed as AngioIQ, and develop a novel automated localization software with friendly graphic user interface. Experimental results obtained in our work demonstrate that AngioIQ offers comparable quantification results with a higher running speed than AngioQuant.
A Novel Deblocking Quantization Table for Luminance Component in Baseline JPEG

 —All Phase Biorthogonal Transform (APBT), a DCT-like transform generated from All Phase Digital Filter (APDF), can be used in baseline JPEG by replacing conventional Discrete Cosine Transform (DCT), and the image compression scheme is called APBT-based JPEG (APBT-JPEG). APBT-JPEG can achieve better coding performance but at the expense of an increased computational complexity, because there is no fast algorithm for computing APBT. With our in-depth study on APBT-JPEG, we have found the relation between APBT-JPEG and DCT-JPEG (baseline JPEG) in this paper. In order to avoid extra computational complexity in APBT-JPEG, we propose a novel quantization table used in DCT-JPEG and an almost identical coding performance is achieved compared with APBT-JPEG. Tested by natural images, experimental results show that compared with other quantization tables, at low bit rates in DCT-JPEG, the performance both in terms of PSNR and visual quality can be improved by using our proposed quantization table, and the blocking artifacts in reconstructed image have been reduced significantly. For these reasons, we can foresee that the proposed quantization table will be widely used in the future.