Miracle-dz/UniFAR-FTUs huggingface dataset:
An Accelerometer-based Gesture Recognition System for a Tactical Communications Application

In modern society, computers are primarily interacted with via keyboards, touch screens, voice recognition, video analysis, and many others. For certain applications, these methods may be the most efficient interface. However, there are applications that we can conceive where a more natural interface could be convenient and connect humans and computers in a more intuitive and natural way. These applications are gesture recognition systems and range from the interpretation of sign language by a computer to virtual reality control. This Thesis proposes a gesture recognition system that primarily uses accelerometers to capture gestures from a tactical communications application. A segmentation algorithm is developed based on the accelerometer energy to segment these gestures from an input sequence. Using signal processing and machine learning techniques, the segments are reduced to mathematical features and classified with support vector machines. Experimental results show that the system achieves an overall gesture recognition accuracy of 98.9%. Additional methods, such as non-gesture recognition/suppression, are also proposed and tested.
Derivation of the exact expression for the D function in N = 1 SQCD

We discuss various details of our derivation of the exact expression for the Adler D function in N=1 supersymmetric QCD (SQCD). This exact formula relates the D function to anomalous dimensions of the matter superfields. Our perturbative derivation refers to the D function defined in terms of the bare coupling constant in the case of using the higher covariant derivative regularization. The exact expression for this function is obtained by direct summation of supergraphs to all orders in the non-Abelian coupling constant. As we argued previously, our formula should be valid beyond perturbation theory too. The perturbative result we present here coincides with the general formula order by order. We discuss consequences for N=1 SQCD in the conformal window. It is noted that our exact relation can allow one to determine the (infrared) critical anomalous dimension of the Seiberg M field present in the dual theory.
Comparative Analysis of Various Median Filters Using Peak Signal TO Noise Ratio (PSNR)

Image Processing and Image Enhancement play a vital role in numerous applications. The image enhancement technique is to improve the interpretability and the visual appearance of an image or to provide better input for other automated image processing techniques. Image enhancement techniques enhance the visibility of any portion or feature of the image by suppressing the unwanted information. The objective is to increase the image quality by removing blurring and noise. The restorations of grayscale and color images are highly corrupted by impulse noise. The proposed work compares the modified non-linear filter algorithm with other existing algorithms such as Adaptive Median Filter (AMF), Decision Based Median Filter (DBMF), Switching Median Filter (SMF), Modified Decision Based Median Filter (MDBMF). The proposed algorithm considers different grayscale and color images. It is based on the parameters such as Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE). The modified non-linear filter is used to enhance the image effectively which is used in further image processing operations.
Tests of hidden variable models by the relaxation of the measurement independence condition

Bell inequalities or Bell-like experiments are supposed to test hidden variable theories based on three intuitive assumptions: determinism, locality and measurement independence. If one of the assumptions of Bell inequality is properly relaxed, the probability distribution of the singlet state, for example, can be reproduced by a hidden variable model. Models that deal with the relaxation of some condition above, with more than one hidden variable, have been studied in the literature nowadays. In this work the relation between the number of hidden variables and the degree of relaxation necessary to reproduce the singlet correlations is investigated. For the examples studied, it is shown that the increase of the number of hidden variables does not allow for more efficiency in the reproduction of quantum correlations.
Emancipation through digital entrepreneurship? A critical realist analysis

Digital entrepreneurship is presented in popular discourse as a means to empowerment and greater economic participation for under-resourced and socially marginalised people. However, this emancipatory rhetoric relies on a flat ontology that does not sufficiently consider the enabling conditions needed for successful digital enterprise activity. To empirically illustrate this argument, we examine three paired cases of UK women digital entrepreneurs, operating in similar sectors but occupying contrasting social positionalities. The cases are comparatively analysed through an intersectional feminist lens using a critical realist methodological framework. By examining the relationships between digital entrepreneurship, social positionality, and structural and agential enabling conditions, we interrogate the notion of digital entrepreneurship as an emancipatory phenomenon producing liberated workers.
Aerosol acidity in a megacity with high ambient temperature and relative humidity of Central China: temporal variation, determining factors and pollution transition effect

Abstract. Aerosol acidity affects the chemical transformation of aerosols and subsequent haze formation. High resolution (1-h) observation of water-soluble inorganic ions in fine particles, gaseous pollutants, and meteorological parameters was conducted from September 2015 to August 2016 at Wuhan, a megacity of Central China with high relative humidity and ambient temperature, compared with north Chinese cities. By adopting thermodynamic model ISOROPPIA-II, the aerosol acidity for different time scales, pollution episodes, and air mass directions was calculated. Aerosols in Wuhan were moderate acidic, with pH averaged as 3.30 ± 0.49. The aerosol acidity was higher in July (pH as 2.64 ± 0.31), September (pH as 2.75 ± 0.30) and August (pH as 2.79 ± 0.29), and lower in January (pH as 3.77 ± 0.28) and March (pH as 3.70 ± 0.16). It decreased with the air pollution increasing, with the pH values of 3.07 ± 0.45, 3.63 ± 0.27 and 3.84 ± 0.22 for clean, transition and polluted episodes, respectively. The air masses in Wuhan transported from North China exhibited higher aerosol acidity, with pH averaged as 3.17–3.22. The unique environmental and meteorological conditions (high humidity, annual averaged RH as 0.74 ± 0.13) lead to excess ammonium (on average of 6.06 ± 4.51 μg m−3) and abundant aerosol water content (AWC, on average of 71.0 ± 82.8 μg m−3) in Wuhan, which can explain the lower PM2.5 acidity in Wuhan than other megacities of China. At lower AWC level (less than ~ 15 μg m−3), the particle pH showed a decreasing trend with AWC increased. When the AWC continuous increased from ~ 15 to ~ 380 μg m−3, there was an obvious increase of particle pH. Then no significant growth of pH was found when AWC was higher than ~ 380 μg m−3. With atmospheric RH increasing, the aerosol pH exhibited decreasing trend firstly and then increased, with the turning point RH as about 0.48. There was a logarithmic growth of aerosol pH with total NHx (NH3 + NH4+) increasing. From the fitted logarithmic curve, the aerosol pH of Wuhan was at the range of pH rapid growth stage with NHx increasing, indicating that the control of ammonia emission in Wuhan could be an effective way to reduce the aerosol pH and further mitigate air pollution. This paper firstly obtained the aerosol acidity properties at a megacity under abundant ammonium and high humidity with high time-resolution, which is an important supplementary for the current aerosol acidity research around the world.
AMUSE-FIELD. II. NUCLEATION OF EARLY-TYPE GALAXIES IN THE FIELD VERSUS CLUSTER ENVIRONMENT

The optical light profiles of nearby early-type galaxies are known to exhibit a smooth transition from nuclear light deficits to nuclear light excesses with decreasing galaxy mass, with as much as 80% of the galaxies with stellar masses below 1010 M☉ hosting a massive nuclear star cluster (NSC). At the same time, while all massive galaxies are thought to harbor nuclear supermassive black holes (SMBHs), observational evidence for SMBHs is slim at the low end of the mass function. Here, we explore the environmental dependence of the nucleation fraction by comparing two homogeneous samples of nearby field versus cluster early-type galaxies with uniform Hubble Space Telescope (HST) coverage. Existing Chandra X-ray Telescope data for both samples yield complementary information on low-level accretion onto nuclear SMBHs. Specifically, we report on dual-band (F475W and F850LP) Advanced Camera for Surveys (ACS) imaging data for 28 out of the 103 field early-type galaxies that compose the AMUSE-Field Chandra survey, and compare our results against the companion HST and Chandra surveys for a sample of 100 Virgo Cluster early-types (ACS Virgo Cluster and AMUSE-Virgo surveys, respectively). We model the two-dimensional light profiles of the field targets to identify and characterize NSCs, and find a field nucleation fraction of (at the 1σ level), consistent with the measured Virgo nucleation fraction across a comparable mass distribution (). Coupled with the Chandra result that SMBH activity is higher for the field, our findings indicate that, since the last epoch of star formation, the funneling of gas to the nuclear regions has been inhibited more effectively for Virgo galaxies, arguably via ram pressure stripping.
Improvement of Iris Pattern Authentication System using Cumulative Sum Algorithm

Person identification using cumulative sum algorithm for iris biometric system is speedy and efficient for any security system application which is used in high sensitive area, like airports, railways, military etc., this paper specifies extraction of quality feature of iris images which is used to perform fast recognition using cumulative sum algorithm for any database ex. , CASIA and UBIRISv1, we even do performance evaluation on parameters such as FAR, FRR and acquire improvement by reducing FAR and FRR for even though the image is occluded or covered by eyelid or if the retrieved iris image is noisy, our algorithm works very efficiently for accurate authentication of person as it is important for the security system.
DSM IV personality disorders in the WHO World Mental Health data

Access the most recent version at doi: 2009 195: 46-53 The British Journal of Psychiatry Herbert Matschinger, José Posada-Villa, Sharain Suliman, Gemma Vilagut and Ronald C. Kessler Koen Demyttenaere, Ron de Graaf, Oye Gureje, Aimée Nasser Karam, Sing Lee, Jean Pierre Lépine, Yueqin Huang, Roman Kotov, Giovanni de Girolamo, Antonio Preti, Matthias Angermeyer, Corina Benjet, Surveys DSM IV personality disorders in the WHO World Mental Health
Regulation of Benzoxazinoid Biosynthesis in Zea mays: Genomic requirement for the Bx1 gene expression

The benzoxazinoid DIMBOA is a natural defense compound of maize seedlings. A panel of inbred lines was screened for protective DIMBOA levels in older plants. The inbreds Mo17 and B73 were identified as lines with high respective low late DIMBOA levels; the IBM population that is based on these lines was used for QTL-mapping. A major QTL for high late DIMBOA locates close to the cluster of DIMBOA biosynthetic genes (Bx-genes). Fine mapping revealed a genetic element in Mo17, located 151 kb upstream of Bx1 that is required for high late Bx1 expression and is a hotspot of recombination.
Design of a Recombinant Hepatitis B Vaccine Based on Stably Binding HLA-IPeptides

The hepatitis B virus continues to infect many millions of people worldwide. There is a need to develop new vaccines against the virus. Using immunoinformatics approaches, we have predicted epitopes within the hepatitis B virus surface antigen that can be used to develop a new vaccine. The predicted epitopes were then used to construct a synthetic vaccine. The interaction between the synthetic vaccine construct and major histocompatibility complex was also predicted using bioinformatics tools.
Comparative evaluation of the performance of an improved solar-biomass hybrid dryer

A solar biomass hybrid dryer intially designed with a front pass flat plate solar air heater and a biomass heating stove was redesigned, reconstructed in order to minimize the excessive convective heat losses and its performance re-evaluated. Due to poor design and contruction of the biomass heating and solar collector sections, the efficiency of the initial design was low. It is believed that the drying efficiency of the dryer could be enhanced if a back pass solar collector and a biomass heating stove incorporated with a gas to gas heat exchanger to ensure that the hot air reaching the samples is clean, smokeless and ash free, substitute for the original solar collector and biomass unit respectively in the improved version. The system’s drying performance was tested on both no load and full capacity load under different meteorological conditions within Nsukka (Lat. 7oN) for two weeks. The testing results showed that the incorporation of a new back pass solar collector and the heat exchanger enhanced the trays temperatures on no load test. Similarly, the efficiency of the dryer based on solar, biomass and solar-biomass heating in drying of fresh okra, fresh groundnut and fresh cassava chips increased from 5.19 – 16.04%, 0.23 – 3.34% and 1.636 – 8.96% respectively over the initial construction. This shows that the dryer can help improve the post-harvest processing and storage quality of farm produce by drying if further optimized.
Evaluation of a second order simulation for Sterling engine design and optimisation

This paper reports on the investigation of the simulation accuracy of a second order Stirling cycle simulation tool as developed by Urieli (2001) and improvements thereof against the known performance of the GPU-3 Stirling engine. The objective of this investigation is to establish a simulation tool to perform preliminary engine design and optimisation. The second order formulation under investigation simulates the engine based on the ideal adiabatic cycle, and parasitic losses are only accounted for afterwards. This approach differs from third order formulations that simulate the engine in a coupled manner incorporating non-idealities during cyclic simulation. While the second order approach is less accurate, it holds the advantage that the degradation of the ideal performance due to the various losses is more clearly defined and offers insight into improving engine performance. It is therefore particularly suitable for preliminary design of engines. Two methods to calculate the performance and efficiency of the data obtained from the ideal adiabatic cycle and the parasitic losses were applied, namely the method used by Urieli and a proposed alternative method. These two methods differ essentially in how the regenerator and pumping losses are accounted for. The overall accuracy of the simulations, especially using the proposed alternative method to calculate the different operational variables, proved to be satisfactory. Although significant inaccuracies occurred for some of the operational variables, the simulated trends in general followed the measurements and it is concluded that this second order Stirling cycle simulation tool using the proposed alternative method to calculate the different operational variables is suitable for preliminary engine design and optimisation.
High-frequency induction of multiple shoots of Stevia rebaudiana bertoni through in vitro Micropropagation techniques

A B ST R A C T An efficient, rapid and large scale propagation of the elite exotic, zero calorie, medicinal plant, Stevia rebaudiana Bert. through in vitro axillary bud multiplication was obtained on Murashige and Skoog (MS) medium supplemented with different concentrations and combinations of BAP, Kn and Ascorbic acid. However, the high frequency of morphogenetic response from axillary meristem was optimized on MS medium supplemented with 5. 5µm BAP along with 50 mg/l Ascorbic acid. On average 90-91 shoots were induced per-explant of the initial material. Non-rooted shoots were sub-cultured to ½ MS medium containing IBA (0.2-1.0µm) for rooting. However, shoots readily formed roots (100%) when sub-cultured to ½ MS basal medium containing IBA 0.5 µm. The rooted micro-shoots were carefully transferred to soil rite TC mix: garden soil: compost (1:1:1 v/v/v) and subsequently shifted to the field with a survival rate of 70±7%.
Late Cretaceous stomatopods (Crustacea, Malacostraca) from Israel and Jordan

The eryonid decapod Eryon yehoachi Remy & Avnimelech, 1955, from the Late Cretaceous of Israel, is redescribed as a fossil stomatopod species within the new genus Ursquilla. This redescription is based on the original type specimen and two additional records from Israel and Jordan. The material allows a detailed reconstruction of the telson, the sixth abdominal tergite, and part of the uropods. The distinct telson ornamentation of these stomatopods justifies the erection of a new family within the superfamily Squilloidea.
Modelling urban floods at submetre resolution: challenges or opportunities for flood risk management?

In this study, we investigate the influence of fine‐scale changes in the elevation of urban terrains on the dynamics and final distribution of flood inundation generated by intense rainfall. Numerical experiments have been performed combining two‐dimensional shallow water model with extremely fine‐resolution (10 cm) terrain data. Our results reveal that localised, decimetric‐scale alterations in the elevation of streets can lead to remarkable differences in the flood inundation. These results confirm the important role played by finely resolved and accurate terrain data in capturing flow patterns that have a central impact on model predictions of flood inundation. Also, we argue that the observed sensitivity of flood inundation to small‐scale topographical features paves the way to new opportunities for flood risk management measures. In particular, engineering flood resilient urban surfaces using fine‐resolution models has a potential to considerably reduce flood impacts at a relatively low cost.
Effects of Pregnancy on Progression of Osteoarthritis Induced by Monosodium Iodoacetate in Rats

Hormones, particularly estrogen, are known to play a role in the development of osteoarthritis (OA). In relation to this, the impact of pregnancy on OA remains unknown. Pregnancy leads to decreased expressions of both synthetic and degradation genes of articular chondrocytes, as determined using in vitro tests, but no in vivo studies have been performed exploring pregnancy and OA simultaneously. The present study investigates the effect of pregnancy on the progression of OA in the rat joint degeneration model using an intra-articular injection of monosodium iodoacetate (MIA). Twenty Wistar rats were divided into four groups: A-Pregnancy and intra-articular injection of MIA; B-MIA injection in naive rats; C-Pregnancy, and D-Sham injection of saline in naive rats. Articular cartilage was evaluated 18 days after the detection of vaginal plug in female rats using Janusz’s macroscopic score, equilibrium partitioning of an ionic contrast agent via microcomputed tomography, and glycosaminoglycan (GAG) quantification. Results show that there was no significant difference in GAG content, attenuation, volume, and thickness of articular cartilage between pregnant and non-pregnant groups. Contrary to our initial hypothesis, pregnancy does not have observable effects on MIA-induced OA in rats at 3 weeks.
International Journal of Nursing & Clinical Practices

Due to a nursing faculty shortage, many are employing strategies to recruit and retain nursing faculty. Work environments that are accommodating to the diversities of the targeted workforce increase work performance, comfortability, and job satisfaction. More people are extroverted and typically nursing faculty work environments are extroverted-oriented. Designing a work environment that is not only inclusive of extroverted nursing faculty but also introverted nursing faculty is one strategy to retain faculty. The purpose of this paper is to give an overview of introversion and extroversion, discuss the typical nursing faculty work environment and the challenges it presents to introverted nursing faculty, and present strategies for creating work environments in nursing education where introverts can perform at their maximum potential. Accommodating Introverted Nursing Faculty in the Work Environment Publication History: Received: September 27, 2015 Accepted: November 07, 2015 Published: November 10, 2015
Biting the league table that feeds: reflections on managerialism at work within UK university sustainability agendas.

Most proponents of ecological sustainability within universities seem to have found a space where they feel they can more or less shrug off the need for such meaningful critical reflection. There has been a preoccupation with the instrumental and pragmatic task of embedding sustainability in institutions and systems through developing and establishing benchmarks, indicators and checklists; devising skills taxonomies; refining auditing and monitoring tools; drawing up performance league tables. The aim of this paper is to explore the institutional impact of the latter sustainability performance league tables on current university agendas. It focuses on a narrative critique of one such league table, the UKs ˜Green League Table compiled and reported by the student campaigning NGO, ˜People & Planet annually between 2007 and 2013 through the popular and academic press. This paper offers the proposition that such league tables could be acting as an institutional hegemonic mechanism for social legitimacy through the desire by universities to show that environmental issues are effectively under control. It is proposed that these legitimizing, espoused eco-narratives of the ˜carbon targets imperative, ˜engagement, can serve as a form of deception to mislead critics of a university's environmental record by merely embracing the narrative as a rhetorical device, rather than as a reflection of or an impetus to proactive, reflexive action. These narratives may also cloak university managers' ambivalence and uncertainty about how to cope with what they perceive as an increasingly important but highly complex issue. In the context of this CMS theme, it is argued that this managerial overarching focus on sustainability league table position, contributes to the broader ethical, social and political tensions and inequities of universities, whilst satisfying the exclusive self-interests of a growing legion of ˜carbon managers, ˜sustainability managers and ˜environmental managers, in satisfying the neo-liberal institutional drive from their Vice-Chancellors.
Inheritance and sources of resistance to bacterial speck of tomato caused by Pseudomonas syringae pv. tomato

SUMMARY Inheritance of resistance to bacterial speck of tomato was determined by analysing F,, F, and backcross progenies of crosses involving a susceptible (VF-198) and a resistant cultivar (Rehovot-13). The results fit the hypothesis that resistance is controlled by a single dominant gene in interaction with minor genes. Cultivar susceptibility to Pseudomonas syringae pv. tomato was tested under greenhouse conditions under high inoculum pressure using infested tomato seeds together with infested soils and spray-inoculated wounded plants. Of 2 1 species, cultivars and lines, Rehovot-13, Ontario 77 10 and Lycopersiconpimpinellifolium P.I. 126927 were found to be resistant to the pathogen. VF-198 and Tropic-VF were the most susceptible. Extra Marmande, Saladette, Acc.339944-3 and the wild type Lycopersicon esculentum var. cerasijorme were moderately resistant.