Miracle-dz/UniFAR-FTUs huggingface dataset:
Hand Gesture Based Low Cost Television Control System

Automatic user state recognition for hand gesture based television (TV) control system is gaining more importance from the researchers. Most of electronic devices focus on the hand gesture recognition algorithm and the corresponding user interface. Embedded System based gesture recognition control system provides 100% touch-free interaction with the device. Most of existing works focus on the hand gesture recognition algorithm and the corresponding user interface, while the power consumption or computational cost is not considered carefully. It overcomes the performance in terms of sensors and hardware cost which is also too high. In practice, keeping the camera device and the gesture recognition module running all the time often costs much energy. Till now, few methods have been reported to solve this problem. This paper proposes an automatic user state recognition scheme to recognize the TV user's state and activate the camera-based gesture recognition module only when the user is trying to control the TV. Specifically, the user's behavior active or not is detected by lowcost sensors, the user's gaze watching TV or not is tracked by the face-based view detection, and the user's state is then decided according to a finite-state machine composed of four states: Absent, Other Actions, Controlling, and Watching. The prototypes based on an ultrasonic distance sensor array, a red-green-blue (RGB) camera, and a depth camera are implemented and tested. The results show that the proposed scheme can effectively reduce the power consumption or computational cost of the original hand gesture based control schemes. Index Terms — TV control, automatic user state recognition, finite state machine, hand gesture.
Heterostructures Based on Porphyrin/Phthalocyanine Thin Films for Organic Device Applications

Multilayer or blend heterostructures based on porphyrins and phthalocyanines were obtained on different substrates using VTE and MAPLE methods. Stacked structures based on ZnPc and C60 with NTCDA were prepared by VTE on ITO/glass, their cur‐ rent value being increased by the deposition of the materials in an inverted configu‐ ration or by using ITO/PEDOT:PSS as a substrate. Multilayer structures comprising ZnPc and NTCDA were fabricated by MAPLE on an AZO/glass. Treating the AZO in oxygen plasma, a higher current value was obtained for the deposited heterostructures. The oxygen plasma treatment can increase the work function of the AZO resulting in a decrease of the energetic barrier from AZO/organic interface and finally improving the charge transport. Stacked layers or blend heterostructures having ZnPc, MgPc and TPyP were deposited by MAPLE on ITO/PET. In the case of those containing MgPc and TPyP, an increase in the current value (in dark) was obtained for the blend compared to the stacked layer configuration. For those with ZnPc and TPyP, under illumination, a pho‐ tovoltaic effect was observed for the blend structure. All heterostructures are featured by a large absorption in the visible domain of the solar spectrum and suitable electrical properties for their use in OPV applications.
Alternative Follicle Stimulating Hormone Dose Rate for Embryo Production in Dairy Cattle

Multiple ovulation and embryo transfer though available for the past 40 years, is seldom used in Kenya. The high cost of superovulation has been cited as a major contributory factor. The research was carried out to test the effect of four different dose rates of follicle stimulating hormone (FSH) used for superovulation. Ultrasound and manual palpation were used to determine the number of follicles and corpora lutea formed. Harvesting and grading of embryos was carried out to determine the quantity and quality of embryos produced. An average of three embryos per donor was recovered, though there was a potential of more than six embryos. One third of the donors failed to ovulate, another third produced 1 to 3 embryos while a third produced over three embryos. All donor cows had several ovulatory follicles ranging from 7.7 to 13.7, but the failure for some to ovulate needs further investigation. There was no difference in embryo quantity and quality between the different FSH dose rates. The season, technique and animal factors were shown to influence embryo production. It’s recommended that super ovulation may be carried out in Kenya using 200 mgs of FSH. This will reduce the cost of embryo production by at least 25% or more depending on the number of embryos harvested per donor.
Multibody reconstruction of the dynamic scene surrounding a vehicle using a wide baseline and multifocal stereo system

—Multibody Visual SLAM has become increasingly popular in the ﬁeld of Computer Vision during the past decades. Its implementation in robotic systems can beneﬁt numerous applications, ranging from personal assistants to military surveillance to autonomous vehicles. While several practical methods use multibody enhanced SfM techniques and monocular vision to achieve scene ﬂow reconstruction, most rely on short baseline stereo systems. In this article, we explore the alternative case of wide baseline and multi-focal stereo vision to perform incremental multibody reconstruction, taking inspiration from the increasingly popular implementation of heterogeneous camera systems in current vehicles, such as frontal and surround cameras. A new dataset acquired from such heterogeneous camera setup mounted on an experimental vehicle is introduced in this article, along with a purely geometrical method performing incremental multibody reconstruction.
INFLUENCE OF MICROCUTTING SIZES AND IBA CONCENTRATIONS ON IN VITRO ROOTING OF OLIVE cv. 'DOLCE AGOGIA'

Different microcutting sizes and various levels of IBA @ 0, 0.25, 0.5, 0.75, 1.0, 1.25, 1.50, 1.75 and 2.0 mg l -1 were investigated for their effect on In vitro rooting of olive cv. 'Dolce Agogia' using modified olive medium. Among the various sizes of microcuttings, tetranodal was the most suitable with highest rooting percentage (55.85%), number of roots (3.48), root length (1.76 cm) and survival percentage (45.33). The interaction of tetranodal microcuttings was much influenced with 1.25 mg l -1 IBA as it resulted in a promising outcome of 95 . 33% rooting, 5.61 roots per microcutting, 3.40 cm root length and survival percentage of 90.33%. IBA @ 1.25 mg l -1 (T6) was superior to other treatments with fairly alluring response towards rooting. An ascending trend was observed in rooting with increasing IBA concentration up to 1.25 mg l -1 and in the same way, increase in the microcutting size was positively correlated with most favorable root development. Tetranodal microcuttings gave the best performance for ex vitro survival in comparison to uninodal, bi nodal and tri nodal microcuttings.
An Host Anomaly Detection Algorithm Based on Bayesian Tree

The naive Bayes algorithm in intrusion detection have the problem of high internal dependence and the data "broken" in decision tree, in order to solve the problem, this paper combines the advantages of section in decision tree and multi-evidence fusion in naive Bayes, uses the Windows Native APIs related data as data sources, using the Native APIs sequence produced by key process, construct the process service predicting model based on the Bayesian tree algorithm, and uses U-test method as the anomaly detection algorithm. The experimental results show that the model can effectively detect abnormal host, and the time complexity is lower, is suitable for online detection.
Acoustical characteristics of oil palm Mesocarp fibres

Natural fibres are availability biomass, plentiful in agricultural waste and ecofriendly materials. Currently, it is become the major reasons for emerging renewable materials in sustainable technology. Therefore, this study discusses the acoustical characteristics of agro-waste biomass fibres from oil palm Mesocarp as fibrous acoustic material. Incorporated polyurethane (PU) had improved the sound absorption coefficient (SAC), especially at low frequency range. The oil palm Mesocarp fibres were mixed with four different percentages of PU, namely 10%, 20%, 30% and 40%. The measurement of SAC was done using an impedance tube method (ITM). Moreover, there were two analytical models which are Delany- Bazley model and Johnson-Champoux-Allard model to validate the experimental outcomes. There were several internal characteristics of the prepared samples investigated namely flow resistivity, porosity, tortuosity, characteristic lengths, fibre diameter, air gaps and thickness of sample. The flow resistivity, tortuosity, fibre diameter, density of samples and characteristic lengths tend to increase with percentage of PU binder. But, porosity was slightly decrease by adding more binder into the sample. This study confirms that by increasing the thickness of samples, the SAC were improved. Air gaps had great influence in adjusting amount of low frequency range and moved the peaks toward lower frequency. The internal characteristics have a positive and significant effect on Noise Reduction Coefficient (NRC). The sample with 10% PU binder showed the greatest sound absorption performance in most of low to mid frequency range and demonstrated highest value of NRC of 0.66. Besides, sample with 20% PU binder demonstrated optimum SAC which is very close to 1 at 1000 Hz. There is still space to improve the performance of the Delany-Bazley Model, especially for natural fibre. Besides, the Johnson- Champoux-Allard model gives similar pattern of graph to ITM results and the model predicts very well with better fit to acoustic behaviour.
Breathers, Releases, Outlets and Pauses: Employee Resistance in the Context of Depersonalized Bullying

Drawing on a study rooted in van Manen’s hermeneutic phenomenology, conducted with agents working in international-facing call centers in Mumbai and Bangalore, India, this paper describes employee resistance to depersonalized bullying. Data were gathered through conversational interviews and subjected to selective and sententious thematic analyses. The theme of ‘breathers, releases, outlets and pauses’ captures both the various behaviours that participants engaged in to gain respite from and to acquire control over their oppressive work environment and the factors that determine their behaviours, namely, their professional identity and their job-related material gains. The findings not only further our understanding of the nascent concept of depersonalized bullying but also retheorize power dynamics in the context of workplace bullying. Keywords: Workplace bullying, power, routine resistance, subjectivity, call centers, India
Realization of a Second Harmonic Antenna for Rural Communications

In this research, an active antenna operated at the second harmonic frequency is investigated, and is implemented using microstrip antenna material. The antenna consists of a FET oscillator which plays as a fundamental frequency oscillator and a frequency multiplier, and a patch antenna resonated at the second harmonic frequency as the radiator. A maximum second-harmonic output power can be extracted when the load impedance of the oscillator is optimized both at the fundamental and at the second harmonic frequencies. A rectangular patch antenna is used to radiate the second harmonic output power from the oscillator. The patch impedance is matched resistively at the second harmonic frequency. The patch antenna is fabricated using Diclad 522 microstrip substrates (relative permitivity er = 2.5) with a dielectric thickness of 1.57 mm. A GaAs FET AT- 8250 transistor is used as an oscillator and a frequency multiplier and acts as the active component. Fundamental frequency is designed at 2,4 GHz band, so that the second harmonic frequency operates at 4,8 GHz band. The frequency is chosen to facilitate and to extend the needs of communications in rural areas using the unlicensed Industrial Scientific, and Medical (ISM) band. Operating the communication infrastructures intended for the use at 2.4 GHz band at its second harmonic frequency, is intended to alleviate interference levels at 2.4 GHz.
Multi-Stage Cross-modal Interaction Module d ) Moment Retrieval Module q " q # q $ q ) Query

Query-based moment retrieval aims to localize the most relevant moment in an untrimmed video according to the given natural language query. Existing works often only focus on one aspect of this emerging task, such as the query representation learning, video context modeling or multi-modal fusion, thus fail to develop a comprehensive system for further performance improvement. In this paper, we introduce a novel Cross-Modal Interaction Network (CMIN) to consider multiple crucial factors for this challenging task, including (1) the syntactic structure of natural language queries; (2) long-range semantic dependencies in video context and (3) the sufficient cross-modal interaction. Specifically, we devise a syntactic GCN to leverage the syntactic structure of queries for fine-grained representation learning, propose a multi-head self-attention to capture long-range semantic dependencies from video context, and next employ a multi-stage cross-modal interaction to explore the potential relations of video and query contents. The extensive experiments demonstrate the effectiveness of our proposed method.
Is Sport Sponsorship Global? Evidence from the United States, the United Kingdom, and India

This study sought to develop and test a cross-national sport sponsorship model. Sponsorship and Hofstedei¯s cultural dimensions theories were utilized for the theoretical framework for this study. A survey was conducted with 522 Chelsea FC soccer clubi¯s fans from the United States, the United Kingdom, and India in the area of sponsorship through a jersey sponsorship. Single and multiple-group confirmatory factor analysis and structural equation modeling were used to analyze the global sport sponsorship model. The results acknowledged the measurement and structural invariance of a global model for five sport sponsorship outcomes (i.e., sponsorship awareness, sponsorship fit, attitude toward the sponsor, gratitude, and purchase intentions), controlling for age, gender, education, household income and the householdi¯s decision maker. The statistical analyses indicated that structural relationships among the analyzed sponsorship outcomes were invariant among all three countries. The effect of sponsorship fit predicted the presence of purchase intentions, while the attitude toward the sponsor was the strongest predictor of purchase intentions.
Behavioural Drivers of Business Competitiveness in Agriculture

Business competitiveness is normally associated with performance. In this context, a firm that performs well under some criterion such as profitability is said to be competitive. Researchers, using performance as a proxy of business competitiveness, have identified different drivers of competitiveness including capital and knowledge acquisition, among others. The objective of this article is to extend this research to show that behavioural factors may also influence business competitiveness. In order to test this idea, a sample of ex-sugar beet farmers was studied using the theory of planned behaviour. For this purpose, a Probit econometric model was adopted. The results have revealed that competitiveness in agriculture is influenced by behavioural factors reflecting farmers’ attitudes towards risk, pleasure at work, farmers’ perception on their ability to innovate, and farmers’ perception on their ability to quickly adjust in response to business environment changes.
The association between 2 D : 4 D ratio and cognitive empathy is contingent on a common polymorphism in the oxytocin receptor gene ( OXTR rs 53576 )

a Child Study Center, Yale School of Medicine, New Haven, CT 06519, USA b Department of Psychology, Bar-Ilan University, Ramat Gan 52900, Israel c Department of Economics, National University of Singapore, Singapore d Department of Psychology, National University of Singapore, Singapore e Department of Statistics and Applied Probability, Risk Management Institute, National University of Singapore, Singapore
Ordered latent class models in nonparametric item response theory

Een geordend latente klassen model kan als een nonparametrisch itemresponstheorie model beschouwd worden. Dit biedt de mogelijkheid een nonparametrisch itemresponstheorie model op nieuwe manieren te schatten en te toetsen. Dit wordt in dit proefschrift nader onderzocht. Ook wordt in dit proefschrift gekeken in hoeverre een geordend latente klassen model gebruikt kan worden om de verdeling van Mokkens schalingscoefficient H te schatten. De itemresponstheorie (IRT) houdt zich bezig met de statistische modellering van antwoorden van personen op testen. Een nonparametrisch itemresponstheorie (NIRT) model, zoals hier behandeld, heeft de assumpties van unidimensionaliteit (UD), lokale onafhankelijkheid (LI) en monotoniciteit (M). De assumptie van UD houdt in dat er slechts ´e´en latente trek is die de responskansen be¨invloedt. Lokale onafhankelijkheid betekent dat de responskansen op verschillende items onafhankelijk van elkaar zijn gegeven een positie op de latente trek. De assumptie van monotoniciteit heeft betrekking op de vorm van de itemresponsfunctie (IRF). De kans op een positief antwoord is een functie van de latente trek, en wordt de IRF genoemd. Monotoniciteit vooronderstelt dat de IRF niet-dalend is in de latente trek. Deze drie assumpties samen geven de waarborg dat de somscore op een test gebruikt kan worden om personen te rangordenen naar hun posities op de latente trek. Een vierde assumptie die gangbaar is binnen de NIRT is die van non-intersectie (NI). Dit houdt in dat IRF’s van verschillende items elkaar niet snijden. Het gevolg hiervan is dat voor iedere positie op de latente trek de ordening van de itemmoeilijkheden hetzelfde is. De assumpties binnen een geordend latente klassen model zijn vergelijkbaar met die van een NIRT model. De latente klassen zijn geordend op een enkele dimensie (UD), de conditionele responskansen zijn onafhankelijk gegeven de latente klasse (LI), en orde-restricties op de conditionele responskansen kunnen ervoor zorgen dat assumpties als M en NI gewaarborgd zijn. Een onderscheid met de bovenstaande formulering van NIRT is dat de latente trek niet continu wordt opgevat, maar in een beperkt aantal latente klassen wordt opgedeeld. Stel nu dat de items niet dichotoom zijn, maar polytoom.
Restarting activity in the nucleus of PBC J2333.9-2343: an extreme case of jet realignment

PBC J2333.9-2343 is a giant radio galaxy which shows different characteristics at different wavebands that are difficult to explain within the actual generic schemes of unification of active galactic nuclei (AGN), thus being a good candidate to host different phases of nuclear activity. We aim at disentangling the nature of this AGN by using simultaneous multiwavelength data. We obtained data in 2015 from the Very Long Baseline Array (VLBA), the San Pedro M\'{a}rtir telescope, and the XMM-Newton}observatories. This allows the study of the nuclear parts of the galaxy through its morphology and spectra, as well as the analysis of the spectral energy distribution (SED). We also reanalysed optical data from the San Pedro M\'{a}rtir telescope from 2009 previously presented in Parisi et al. (2012) for a homogeneous comparison. At X-ray frequencies, the source is unabsorbed. The optical spectra are of a type 1.9 AGN, both in 2009 and 2015, although showing a broader component in 2015. The VLBA radio images show an inverted spectrum with self-absorbed, optically thick compact core and steep spectrum, optically thin jet. The SED resembles that of typical blazars and is best represented by an external Compton (EC) model with a viewing angle of $\sim$ 3-6 degrees. The apparent size of the large scale structure of PBC J2333.9-2343 must correspond to an intrinsic deprojected value of $\sim 7$ Mpc for $\theta_v 13$ Mpc for $\theta_v<5^\circ$, a value much larger than the bigger giant radio galaxy known (4.5 Mpc). The above arguments suggest that PBC J2333.9-2343 has undergone through a new episode of nuclear activity and that the direction of the new jet has changed, in the plane of the sky and is now pointing towards us, making this source from being a radio galaxy to become a blazar, a very exceptional case of restarting activity.
Hyperintensity of Posterior Pituitary on with Central Diabetes Insipidus Caused Mutation of Neurophysinl [ Gene MR T 1 WI in by Missense a Boy

We present a 10-year old boy with central diabetes insipidus (CDI) showing hyperintensity in a normalsized posterior pituitary on magnetic resonance (MR) T1-weighted image (T1WI). He complained of nocturnal enuresis and polyuria. Daily urine volume increased to 4 to 5 L, and AVP plasma level was very low. Polymerase chain reaction (PCR)-amplified exons of the arginine vasopressin (AVP)-neurophysin (NP) II gene were sequenced. Nucleotide-1884 guanine in Exon 2 was substituted with thymine, which induced a substitution of glycine for valine at amino acid position 65 in the NP II moiety. However, MR imaging showed hyperintensity in the posterior pituitary on T1WI. These results suggest that the MR findings of the posterior pituitary in CDI may vary.
Disciplines of Study , Empathy and Ambivalent Sexism of University Students across Gender

The present study investigates the relationship between disciplines of study, empathy and ambivalent sexism among university students across gender. This research hypotheses, higher score on empathy in men and women correlates positively with benevolent sexism and low scores on empathy correlate positively with hostile sexism, men show high levels of hostile sexism compared to women and intensity of hostile sexism correlates negatively with benevolent sexism among men. Sociodemographic form, The Basic Empathy Scale in Adults (BES-A) by Jolliffe and Farrington [1] and Ambivalent Sexism Inventory (ASI) by Glick and Fiske [2]. Sample consisted of 80 university students including both men and women within age range of 17-25 years (M = 19.16, SD = 1.436). Results showed a larger difference in hostile sexism across gender then benevolent sexism. However, there was a significant negative correlation between age and hostile sexism. Results further showed significant difference in hostile sexism and benevolent sexism across people with leftist, rightist and apolitical political views and different socioeconomic classes.
Scalable Privacy-Compliant Virality Prediction on Twitter

The digital town hall of Twitter becomes a preferred medium of communication for individuals and organizations across the globe. Some of them reach audiences of millions, while others struggle to get noticed. Given the impact of social media, the question remains more relevant than ever: how to model the dynamics of attention in Twitter. Researchers around the world turn to machine learning to predict the most influential tweets and authors, navigating the volume, velocity, and variety of social big data, with many compromises. In this paper, we revisit content popularity prediction on Twitter. We argue that strict alignment of data acquisition, storage and analysis algorithms is necessary to avoid the common trade-offs between scalability, accuracy and privacy compliance. We propose a new framework for the rapid acquisition of large-scale datasets, high accuracy supervisory signal and multilanguage sentiment prediction while respecting every privacy request applicable. We then apply a novel gradient boosting framework to achieve state-of-the-art results in virality ranking, already before including tweet's visual or propagation features. Our Gradient Boosted Regression Tree is the first to offer explainable, strong ranking performance on benchmark datasets. Since the analysis focused on features available early, the model is immediately applicable to incoming tweets in 18 languages.