Miracle-dz/UniFAR-FTUs huggingface dataset:
Dance Movements Enhance Song Learning in Deaf Children with Cochlear Implants

Music perception of cochlear implants (CI) users is constrained by the absence of salient musical pitch cues crucial for melody identification, but is made possible by timing cues that are largely preserved by current devices. While musical timing cues, including beats and rhythms, are a potential route to music learning, it is not known what extent they are perceptible to CI users in complex sound scenes, especially when pitch and timbral features can co-occur and obscure these musical features. The task at hand, then, becomes one of optimizing the available timing cues for young CI users by exploring ways that they might be perceived and encoded simultaneously across multiple modalities. Accordingly, we examined whether training tasks that engage active music listening through dance might enhance the song identification skills of deaf children with CIs. Nine CI children learned new songs in two training conditions: (a) listening only (auditory learning), and (2) listening and dancing (auditory-motor learning). We examined children's ability to identify original song excerpts, as well as mistuned, and piano versions from a closed-set task. While CI children were less accurate than their normal hearing peers, they showed greater song identification accuracies in versions that preserved the original instrumental beats following learning that engaged active listening with dance. The observed performance advantage is further qualified by a medium effect size, indicating that the gains afforded by auditory-motor learning are practically meaningful. Furthermore, kinematic analyses of body movements showed that CI children synchronized to temporal structures in music in a manner that was comparable to normal hearing age-matched peers. Our findings are the first to indicate that input from CI devices enables good auditory-motor integration of timing cues in child CI users for the purposes of listening and dancing to music. Beyond the heightened arousal from active engagement with music, our findings indicate that a more robust representation or memory of musical timing features was made possible by multimodal processing. Methods that encourage CI children to entrain, or track musical timing with body movements, may be particularly effective in consolidating musical knowledge than methods that engage listening only.
ANALISIS DETERMINAN MINAT WIRAUSAHA PEMUDA DI KECAMATAN PERCUT SEI TUAN KABUPATEN DELI SERDANG

The objectives of this research were to determine: 1) the interest of young entrepreneurs in the district of Percut Sei Tuan, Deli Serdang Regency. 2) the influence of youth personalities, environment, and demography towards the interest of youth Entrepreneurship in the district of Percut Sei Tuan, Deli Serdang regency. Techniques used in the sampling was Franc Lynch. Research samples were taken from the youth in the district of Percut Sei Tuan aged from 18-30 years old, with 96 respondents obtained randomly. Data collection techniques used was primary, using questionnaires and a Likert scale on each question. The research method used was a survey. While for the data analysis technique a descriptive test and multiple linear regression were used. The result of this research revealed that: 1) Interest entrepreneurial youths in the district of Percut Sei Tuan in Deli Serdang area is very positive 2) Self efficacy, Achievement Needs, Availability Information, Networking, Access to Capital, and Demographics positively related to interest youth entrepreneurship in the district Percut Sei Tuan, Deli Serdang Regency. 3) Self efficacy, Achievement Needs, Availability Information, Networking, Access to Capital, and Demographics simultaneously significant effect on variable interest in youth entrepreneurship in the district Percut Sei Tuan, Deli Serdang Regency 4) Self efficacy, Achievement Needs, Availability Information, Networking, and Access to Capital partially no significant effect on variable interest in youth entrepreneurship in the district Percut Sei Tuan, Deli Serdang Regency. 5) Demographics partially have significant effect on variable of variable interest in youth entrepreneurship in the district Percut Sei Tuan, Deli Serdang Regency.
CREB-mediated Enhancement of Hippocampus-dependent Memory Consolidation and Reconsolidation

Memory stabilization following encoding (synaptic consolidation) or memory reactivation (reconsolidation) requires gene expression and protein synthesis. Although consolidation and reconsolidation may be mediated by distinct molecular mechanisms, disrupting the function of the transcription factor CREB (cAMP responsive element binding protein) impairs both processes. We use a gain-of-function approach to show that CREB (and CREB-coactivator CRTC1) can facilitate both synaptic and systems consolidation and reconsolidation. We first examine whether acutely increasing CREB levels in the dorsal hippocampus is sufficient to enhance spatial memory formation in the watermaze. Locally and acutely increasing CREB in the dorsal hippocampus using viral vectors is sufficient to induce robust spatial memory in two conditions which do not normally support consolidation, weakly-trained wild-type (WT) mice and strongly-trained mutant mice with brain-wide disrupted CREB function.
The significance of facial features for automatic sign language recognition

Although facial features are considered to be essential for humans to understand sign language, no prior research work has yet examined their significance for automatic sign language recognition or presented some evaluation results. This paper describes a vision-based recognition system that employs both manual and facial features, extracted from the same input image. For facial feature extraction an active appearance model is applied to identify areas of interest such as the eyes and mouth region. Afterwards a numerical description of facial expression and lip outline is computed. An extensive evaluation was performed on a new sign language corpus, which contains continuous articulations of 25 native signers. The obtained results proved the importance of integrating facial expressions into the classification process. The recognition rates for isolated and continuous signing increased in signer-dependent as well as in signer-independent operation mode. Interestingly, roughly two of ten signs were recognized just from the facial features.
A local realist theory of parametric down conversion

In a series of articles we have shown that all parametric-down- conversion processes, both of type-I and type-II, may be described by a positive Wigner density. These results, together with our description of how light detectors subtract the zeropoint radiation, indicated the possibility of a completely local realist theory of all these processes. In the present article we show how the down-converted fields may be described as retarded fields, generated by currents inside the nonlinear crystal, thereby achieving such a theory. Most of its predictions coincide with the standard nonlocal theory. However, the intensities of the down converted signals do not correspond exactly with the photon pairs of the nonlocal theory. For example, in a blue- red down conversion we would find 1.03 red "photons" for every blue one. The theory also predicts a new phenomenon, namely parametric up conversion from the vacuum.
From Individual Behavior to Influence Networks: A Case Study on Twitter

Understanding social influence and its related phenomena is a major challenge in the study of the human collective behavior. In the recent years, the availability of internet-based communication and interactivity data has enabled studies on social influence at an unprecedented scale and time resolution. In this work, we study how individual behavior data may provide knowledge regarding influence relationships in a social network. We define what we call the influence network discovery problem, which consists of identifying influence relationships based on user behavior across time. Our objective is the design of accurate models that are able to exploit different types of behavior in order to discover how people influence each other. Several strategies for influence network discovery are proposed and discussed. Moreover, we present a case study on the application of such strategies using a follower-followee network and user activity data from Twitter, which is a popular microblogging and social networking service. We consider that a follower-followee interaction defines a potential influence relationship between users and the act of posting a tweet, a URL or a hashtag represents an individual behavior on Twitter. The results show that, while tweets may be used effectively in the discovery of influence relationships, hashtags and URLs do not lead to good performance in such task. Moreover, strategies that consider the time when an individual behavior is observed outperform those that do not and by combining such information with the popularity of the behaviors, even better results may be achieved.
Technical Sessions Comparis,on of Cumulus Parameterizations Initial Experiments

For the present study, the Arakawa-Schubert (AS) cumu-lus parameterization has been incorporated. Thus the model can be run with either the Kuo or the AS parameter-ization. This version of the AS parameterization includes the effects of downdrafts as discussed by Kao and Ogura This preliminary work employs the same locations and four-week integration period as that of lacobellis and Somerville (1991 a, 1991 b). This period begins at OOUT 27 May 1979 and runs until OOUT 23 Jun 1979. The monsoon onset occurs on approximately 15 Jun 1979. In the following discussion, we denote the initial time as "hour O' and measure time in hours from OOUT 27 May 1979. Until Atmospheri(~ Radiation Measurement (ARM) data become available, we are using our single-column model as a testbed to im~)rove and validate parameterizations. As an example of this research, we describe aset of numerical experiments und4~rtaken to compare the results of two cumulus convection parameterizations. The model is aone. -dimensional diagnostic model (Iacobellis and Somerville 1991 a, 1991 b) resembling asingle column of a general circulation model. The model includes vertical atmospheric transports by convection and turbulent mixing , radiative tran:;fer including interactive clouds, and a surface energy ba.lance coupled to an ocean mixed-layer model. At each timestep, observational analyses are used to supply the model with the horizontal advection of heat and moisture. Output from the model includes time series of sea surface temperature, oceanic mixed-layer depth, atmospheric temperature and humidity profiles, precipitation and surface energy budget components. The initial version of this model, which incorporated the cumulus parametE~rization of Kuo-Anthes, was used in a diagnostic study of the onset of the Indian summer monsoon (Iacobellis and Somerville 1991 a, 1991 b). In that study the model ~'as run for four weeks beginning about three weeks befor4~ the onset of the monsoon. A comparison of the results clgainst independent observational data indicated that the ,column model is capable of simulating the evolution of the heat and moisture budgets prior to and during the monsoon onset. 47 The model is first run in a semi-prognostic mode in which the temperature and humidity fields used by the cumulus convection parameterizations are spEtCified at each timestep from FGGE observational data. The results compared here include the convective rainfall, the apparent heating source (01), and the apparent moisture sink (02) produced by the two cumulus parameterizations. For detailed definitions and discussion of 01 and 02, …
Perceptive patterns for mobile robots via RD-CNN and reinforcement learning

In this paper we present a bio-inspired framework for sensing-perception-action of a roving robot, in a random foraging task. The core of this framework is the exploitation of Turing patterns to build a set of internal perceptive states, from sensorial inputs, to generate proper actions. To this aim a reaction diffusion cellular neural network (RD-CNN) is used. The basins of attraction of the Turing patterns are dynamically tuned by unsupervised learning in order to best match the sensor dynamics to the geometry of the pattern basins. Each pattern is associated with an action through reinforcement learning. The system is also provided with a contextual layer to realize a higher level control.
Firing Properties of Anatomically Identified Neurons in the Medial Septum of Anesthetized and Unanesthetized Restrained Rats

Cholinergic and GABAergic neurons in the medial septum-diagonal band of Broca (MS-DB) project to the hippocampus where they are involved in generating theta rhythmicity. So far, the functional properties of neurochemically identified MS-DB neurons are not fully characterized. In this study, MS-DB neurons recorded in urethane anesthetized rats and in unanesthetized restrained rats were labeled with neurobiotin and processed for immunohistochemistry against glutamic acid decarboxylase (GAD), parvalbumin (PV), and choline acetyltransferase (ChAT). The majority of the 90 labeled neurons (75.5%) were GAD+. Among them, 34.0% were also PV+, but none were ChAT+. Only 8.8% of the labeled neurons were found ChAT+. Remaining neurons (15.5%) were not identified. In anesthetized rats, all of the PV/GAD+ and 65% of GAD+ neurons exhibited burst-firing activity at the theta frequency. PV/GAD+ neurons displayed higher discharge rate and longer burst duration compared with GAD+ neurons. At variance, all of the ChAT+ neurons were slow-firing. Cluster-firing and tonic-firing were observed in GAD+ and unidentified neurons. In unanesthetized rats, during wakefulness or rapid eye movement sleep with hippocampal theta, the bursting neurons were PV/GAD+ or GAD+, whereas all of the ChAT+ neurons were slow-firing. Across the sleep–wake cycle, the GABAergic component of the septohippocampal pathway was always more active than the cholinergic one. The fact that cholinergic MS-DB neurons do not display theta-related bursting or tonic activity but have a very low firing rate questions how acetylcholine exerts its activating role in the septohippocampal system.
Distance and force production during jumping in wild-type and mutant Drosophila melanogaster

SUMMARY In many insects renowned for their jumping ability, elastic storage is used so that high forces can be developed prior to jumping. We have combined physiological, behavioural and genetic approaches to test whether elastic energy storage makes a major contribution to jumping in Drosophila. We describe a sensitive strain gauge setup, which measures the forces produced by tethered flies through their mesothoracic legs. The peak force produced by the main jumping muscle of female flies from a wild-type (Canton-S) strain is 101±4.4 μN [and this is indistinguishable from a second wild-type (Texas) strain]. The force takes 8.2 ms to reach its peak. The peak force is not affected significantly by altering the leg angle (femur–tibia joint angle) in the range of 75–120°, but the peak force declines as the leg is extended further. Measurements of jumping ability (distance jumped) showed that female Drosophila (with their wings removed) of two wild-type strains, Canton-S and Texas, produced jumps of 28.6±0.7 and 30.2±1.0 mm (mean ± s.e.m.). For a female wild-type Drosophila, a jump of 30 mm corresponds to a kinetic energy of 200 nJ on take-off (allowing 20% of the energy to overcome air resistance). We develop equations of motion for a linear force–time model of take-off and calculate that the time to take-off is 5.0 ms and the peak force should be 274 μN (137 μN leg–1). We predicted, from the role of octopamine in enhancing muscle tension in several locust muscles, that if stored elastic energy plays no part in force development, then genetic manipulation of the octopaminergic system would directly affect force production and jumping in Drosophila. Using two mutants deficient in the octopaminergic system, TbhnM18 (M18) and TyrRhono (hono), we found significantly reduced jumping distances (20.7±0.7 and 20.7±0.4 mm, respectively) and force production (52% and 55%, respectively) compared with wild type. From the reduced distance and force production in M18, a mutant deficient in octopamine synthesis, and in hono, a tyramine/octopamine receptor mutant, we conclude that in Drosophila, as in locusts, octopamine modulates escape jumping. We conclude that the fly does not need to store large quantities of elastic energy in order to make its jump because (1) the measured and calculated forces agree to within 40% and (2) the reduction in distances jumped by the mutants correlates well with their reduction in measured peak force.
Development of INSACO System on the Context-Awareness Sensor Network

On the USN environment in industry safety, many problems came up during the operation such as data management in various sensor nodes, efficient process of context data, and absence of context cognition technology. In this paper, we suggest INSACO(Industrial SAfety Control) system to support a integrated sensor data management system based on sensor stream data process. Also, I suggest context cognition system providing context awareness using sensor data and the simplified circumstance information model. When it comes to realization and performance evaluation of this study, intelligent control system providing user interface that integrates data and video has established. fully-justified italicized text as it is here, below the author information. USN technology in industrial settings, sensor nodes (which are used to collect data in industrial fields), middle wares (which are used to deal with the collected data), and GUI (Graphic User Interface: a control system which is available to provide a weal th of information to administrators) are required. A subject of the information generated is being transformed into ubiquitous network society in which not only human beings but also things in the surrounding environment where they are living are organical ly combined and utilized. Ubiquitous Sensor Network (USN) refers to a technology that attaches various sensors and tags to natural environment and things to provide information of the region in real time. Even humans can wear equipment as applied to USN environment, areas that receive the most attention is safety management on responsible for the safety of human. And USN node becomes possible to move the human disaster that you may experience while working on more efficient ways to detect and to respond more proposed. As a representative example with such USN technologies applied, wetlands environment Context Aware system can be taken. Such Context Aware systems are called "context-aware computing" since it is a study of field to make a much smarter computer in order to take advantage of useful information for a system. Even if a user did not enter information, as one of the technologies to support an intelligent computer as computing devices are increasingly intelligent. The devices or computers embedded with such situational computing have the ability to provide relevant and useful services by detecting surrounding situations.
Enzymatic quorum quenching increases antibiotic susceptibility of multidrug resistant Pseudomonas aeruginosa

Background and Objectives There is increasing emergence of multidrug resistant Pseudomonas aeruginosa (MDRPA) strains and drug resistance is positively-correlated with biofilm-forming ability. Since about 10% of P. aeruginosa genome is controlled by quorum sensing (QS), alteration in its antibiotic susceptibility by targeting QS was the focus of the present study. Materials and Methods One day biofilms of PAO1 and three urinary tract infection MDRPA isolates (PA2, PA8 and PA18) were formed in 96-well microtiter plate. Biofilms were exposed to concentration gradient of ciprofloxacin and gentamicin to obtain Minimum Biofilm Eradication Concentration (MBEC) by direct enumeration method. Susceptibility of 24 h biofilms was evaluated by treatment with ciprofloxacin and gentamicin per se and in combination with lactonase. The effect was also examined on 72 h biofilms by Scanning Electron Microscopy. Results Lactonase treatment did not have any effect on growth of the selected strains but 73.42, 69.1, 77.34 and 72.5% reduction of biofilm was observed after lactonase (1 unit) treatment, respectively. Antibiotics in combination with lactonase (0.3 units) resulted in an increased susceptibility of the biofilm forms by>3.3, 4, 5 and 1.5 folds of MBEC, for ciprofloxacin and>6.67, 12.5, 6 and>2.5 folds, for gentamicin respectively, which could be due to the disruption of biofilm by lactonase treatment as shown by scanning electron microscopy. Also there was significant reduction (p<0.001) in virulence factor production by the strains. Conclusion Lactonase treatment increased antibiotic susceptibility of the biofilms of MDRPA isolates underscoring the potential of quorum quenching in antimicrobial therapeutics.
An Empirical Analysis of Approximation Algorithms for Euclidean TSP

The Traveling Salesman Problem (TSP) is perhaps the most famous optimization problem in the set NP-hard. Many problems that are natural applications in computer science and engineering can be modeled using TSP and therefore, researchers are searching implementations focusing on the quality of the produced solution and their computational time. An innovative Polynomial-Time Approximation Scheme (PTAS) for the Euclidean TSP was given by Sanjeev Arora. To date, there is no evidence that it can be implemented to be practically useful. In light of this, we propose an implementation of the Euclidean TSP that is based on the essential steps of the Arora’s PTAS and adds some heuristics to improve the running time. The paper includes the description of a C++ Arora-based implementation and a comparative analysis of this implementation with various competitive algorithms for the Euclidean TSP.
POTENTIATED PROCESSING OF NEGATIVE FEEDBACK IN DEPRESSION IS ATTENUATED BY ANHEDONIA

Although cognitive theories of depression have postulated enhanced processing of negatively valenced information, previous EEG studies have shown both increased and reduced sensitivity for negative performance feedback in MDD. To reconcile these paradoxical findings, it has been speculated that sensitivity for negative feedback is potentiated in moderate MDD, but reduced in highly anhedonic subjects. The goal of this study was to test this hypothesis by analyzing the feedback‐related negativity (FRN), frontomedial theta power (FMT), and source‐localized anterior midcingulate cortex (aMCC) activity after negative feedback.
Growth arrest induces primary-cilium formation and sensitizes IGF-1-receptor signaling during differentiation induction of 3T3-L1 preadipocytes

The first stage of 3T3-L1 adipocyte differentiation is growth arrest, which is achieved by contact inhibition at confluence. In growth-arrested confluent 3T3-L1 preadipocytes, α-tubulin acetylation and primary-cilium formation were induced. The blockade of primary-cilium formation by suppressing IFT88 or Kif3a inhibited 3T3-L1 adipocyte differentiation. IGF-1 (IGF-I)-receptor signaling, which is essential for differentiation induction, was sensitized by the formation of a primary cilium in confluent 3T3-L1 preadipocytes. The receptor located in primary cilium was more sensitive to insulin stimulation than that not located in cilia. During cilium formation, insulin receptor substrate 1 (IRS-1), one of the important downstream signaling molecules of the IGF-1 receptor, was recruited to the basal body at which it was phosphorylated on tyrosine by the receptor kinase in cilia. Akt-1, an important signal molecule of the IGF-1 receptor in adipocyte differentiation, was also activated at the basal body. These IGF-1-receptor signaling processes were all inhibited in IFT88- or Kif3a-knockdown cells. Thus, the primary cilium and its basal body formed an organized signaling pathway for the IGF-1 receptor to induce adipocyte differentiation in confluent 3T3-L1 preadipocytes.