Miracle-dz/UniFAR-FTUs huggingface dataset:
Labor Market Analysis Using Big Data: The Case of a Pakistani Online Job Portal

Facing a youth bulge—a large influx of a young labor force—the Pakistani economy needs to create more jobs by taking advantage of this relatively well-educated young labor force. Yet, the educated young labor force suffers a higher unemployment rate, and there is a concern that the current education and training system in the country does not respond to skill demands in the private sector. This paper provides new descriptives about labor markets, particularly skill demand and supply, by using online job portal data. The paper finds that although there is an excess supply of highly educated workers, certain industries, such as information and communications technology, lack workers who have specialized skills and experience. The analysis also finds that the exact match of qualifications and skills is important for employers. Job applicants who are underqualified or overqualified for job posts are less likely to be shortlisted than those whose qualifications exactly match job requirements.
PREPARATION OF MAGNETIC NANO PARTICLES ON CELLULOSE FIBRES

Effects of the electromagnetic radiation have been a concern for some years now, especially due to the growing presence of mobile telephones and other electronic devices, used in everyday life. There are numerous shielding materials available to protect from electrosmog, mostly all of them consisting of metal, metal alloys or having metal components. Aim of our research is to develop a shielding material based on cellulose fibres, with magnetic iron particles as the active component for absorption of electromagnetic radiation.
Characterisation of Tomato Germplasm by Pericarp Protein Profiles and Morphologic and Biochemical Fruit Traits

A diversity of genetic materials contained in traditional varieties, modern cultivars and wild species contributes to plant genetic resources. The aim of this work was to characterise different tomato (Solanum spp.) genotypes by pericarp protein profiles and morphologic and biochemical fruit traits. Three accessions of the wild taxa S. pimpinellifolium (LA722, LA2181 and LA1246) and S. lycopersicum var. cerasiforme (LA1673, LA1385 and LA1320), four cultivated genotypes of S. lycopersicum (‘Caimanta’, ‘CARO’, ‘UCO’, ‘NOR’) and nine RILs (L1, L2, L4, L5, L6, L7, L8, L9, L18) obtained the interspecific cross (LA722 x ‘Caimanta’) were studied. Highly significant differences were found between these genotypes for all traits and the cluster analysis allowed to separate cultivated genotypes from the others. Pericarp protein profiles were obtained at two ripening stages (mature green: GM and red ripe: RR) to classify these genotypes. At MG, the percentage of polymorphism between the cultivated genotypes was 81%, while among the wild genotypes it was 94.6%. The highest polymorphism (97.3%) was observed in the RILs. The most frequent band (0.79) was that of 97 kDa present in all genotypes excepting L8, LA1320, LA1673, and ‘CARO’. At RR both cultivated genotypes and wild accession showed 92% polymorphic bands. Polymorphism among RILs was 94.6%. Again, a 97 kDa band was detected in all genotypes except for L18 while a 56 kDa band was observed in all genotypes with the exception of ‘NOR’ and L6. Genotype clustering by pericarp protein profile was different to that obtained by morphological and biochemical fruit traits. _____________________________________________________________________________________________________________
ESTIMATING TENSILE STRENGTH IN PINUS RADIATA STRUCTURAL TIMBER

Altogether, 1862 Pinus radiata D.Don structural boards were tested in tension to examine five selected parameters of tensile strength, and to verify the code-assigned characteristic tensile strength values. Knot area ratio (KAR) alone does not predict tensile strength at the weakest point of the board; local bending stiffness at the failure point EP, fail shows a stronger correlation with tensile strength, and this presents a possibility for nondestructive estimation of tensile strength in P. radiata structural timber. The mean, 5th percentile, and characteristic strength in tension were studied for the test boards and the results indicated that the code values for current visual stress-grading systems of P.radiata need to be revised because the characteristic tensile strengths obtained from the tests were significantly lower than the values assigned in the standards.
The Unfolded Protein Response Transducer Ire1p Contains a Nuclear Localization Sequence Recognized by Multiple Importins

*Department of Biochemistry and Molecular Biology, University of Melbourne, Victoria 3010, Australia; §Ludwig Institute for Cancer Research, Parkville, Victoria 3052, Australia; Department of Systems Biology, Harvard Medical School, Boston, MA 02115; #Division of Biochemistry and Molecular Biology, John Curtin School of Medical Research, Canberra, ACT 2601, Australia; and ¶Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
A simplified model for a small propeller with different airfoils along the blade

The flow through the rotor of a propeller is complex due to the rotor wake interaction. Varieties of methods with different simplifications were used to represent the flow field and its interaction with the rotor. The impact of these simplifications on the precision of the predicted results and computation time were evaluated. These methods include momentum theory, blade element theory, lifting line theory, finite volume methods, panel methods, boundary element methods and CFD analysis. The objective of the present work is to propose a robust and simple method to calculate the aerodynamic characteristics of the propeller with relatively good precision. Both the momentum theory and blade element theory were used in home built FORTRAN code and the predicted results were validated against results from the Panel method and available experimental measurements showing acceptable agreement. Furthermore, the numerical code was used to investigate the effect of incorporating three different blade sections on the power and thrust coefficients.
IMPLEMENTING HIGH-PERFORMANCE COMPLEX MATRIX 1 MULTIPLICATION VIA THE 1M METHOD

Almost all eﬀorts to optimize high-performance matrix-matrix multiplication have 4 been focused on the case where matrices contain real elements. The community’s collective assump-5 tion appears to have been that the techniques and methods developed for the real domain carry over 6 directly to the complex domain. As a result, implementors have mostly overlooked a class of methods 7 that compute complex matrix multiplication using only real matrix products. This is the second in a 8 series of articles that investigate these so-called induced methods. In the previous article, we found 9 that algorithms based on the more generally applicable of the two methods—the 4m method—lead 10 to implementations that, for various reasons, often underperform their real domain counterparts. 11 To overcome these limitations, we derive a superior 1m method for expressing complex matrix mul-12 tiplication, one which addresses virtually all of the shortcomings inherent in 4m . Implementations 13 are developed within the BLIS framework, and testing on microarchitectures by three vendors con-14 ﬁrms that the 1m method yields performance that is generally competitive with solutions based on 15 conventionally implemented complex kernels, sometimes even outperforming vendor libraries. 16
Riadenie procesov Process Control

This paper suggests a detailed algorithm for computation of the Jacobson form of the polynomial matrix associated with the transfer matrix describing the multi-input multi-output nonlinear control system, defined on homogeneous time scale. The algorithm relies on the theory of skew polynomial rings. Its implementation is shown on the basis of Computer Algebra System (CAS) Mathematica.
THE MATH & MYTH OF COINCIDENCE

This reviewer strongly recommends this book to the serious mathematics and science buff, as well as the professional mathematician or statistician who wishes to surround himself with a strong set of examples illustrating the theories of low probability high consequence events. Such events are the subject of vigorous scientific inquiry in this time owing to the devastating effects of natural and economic disasters, as well as the destructive consequences of war and terrorism, among others. Additionally, the author introduces examples from literature, folklore, and fantasy to illustrate further the pervasive influences of thought in this realm. Observe that the title ‘Fluke’ refers to the occurrence of a single such event, whereas ‘coincidence,’ as developed in the text, refers to two such events occurring together either in space or time (or both,) thus introducing the concepts of joint probability distributions. To describe this work as a magnum opus for Prof. Mazur could include a modicum of hyperbole, but maybe not. This is a very fine study in the mode of making rigorous mathematical material available to the lay reader.
Via-Monopole Based Quasi Yagi-Uda Antenna for W-Band Applications using Through Glass Silicon via (TGSV) Technology

This paper presents a W-band planar type via-monopole based quasi Yagi-Uda antenna using metal coated through glass silicon via structures. The antenna was designed and fabricated on <inline-formula> <tex-math notation="LaTeX">$350~\mu \text{m}$ </tex-math></inline-formula> thick borosilicate glass substrate, which has very low dielectric loss compared with silicon at millimeter-wave frequencies. We used a microstrip line to feed the antenna, and the Yagi-Uda configuration using via structured radiator; reflectors; and director were fabricated using tungsten coated silicon via structures embedded in reflowed glass substrate with good high frequency characteristics. The proposed antenna achieved vertical polarization in planar configuration with height <inline-formula> <tex-math notation="LaTeX">$0.09\lambda \text{o}$ </tex-math></inline-formula>. High gain with end-fire radiation was achieved due to the Yagi-Uda configuration. Measured results confirmed the fabricated antenna operated in the W-band with 10 dB fractional bandwidth (FBW) of 12.5% from 76.3 to 86.5 GHz and peak gain of 7.82 dBi at 81 GHz in the end-fire direction. Thus, the proposed antenna with end-fire radiation will be useful for millimeter-wave onboard wireless communication, radar imaging, and tracking applications.
AFM Calibration of Nano-friction through Estimating Meniscus Water Membrane Contour between Single Polystyrene Nano-particle and Silicon Surface

In a certain humidity environment, the meniscus water membrane will greatly affect the nano-friction between the nano-particle and the substrate in the process of AFM nano-manipulation. Herein, a mathematical model for estimating the meniscus water membrane contour using infinitesimal iteration is employed, then near-spherical polystyrene nano-particles with radius from 50 nm to 300 nm were deposited on a silicon wafer for experiments using AFM after the tip is positioned and the friction between the nanoparticle and the substrate is measured. By analyzing the relationship between friction and effective contact area of water membrane and comparing with the existing work, the correctness and effectiveness of the method are proved.
Transmission Efficiency of Small Solenoid in relation to the Solenoid Arrangement for NFC

This paper numerically investigates the transmission efficiency of magnetic material loaded small solenoids used for near field communication in view of the arrangement of the solenoid. As the results, it is found that the transmission efficiency can be improved by placing the small solenoid beneath the loop wire even the diameter and length of the solenoid are about 1mmφ and 10mm.
Neural Social Recommendation With User Embedding

Social information is usually jointly utilized with rating information to help the traditional recommendation system providing more personalized services, while how to make full use of social information to build better recommendation models still faces lots of challenges. In this paper, we propose a novel social recommendation model taking advantage of both deep and shallow model, with deep auto-encoders acting as the nonlinear feature extractor and MF-based method being used to depict the user’s preferences. Then, motivated by the idea of word2vec, we provide an appealing method that embeds users into latent space and meanwhile preserves the structural information of social networks during the embedding. Also, the embedded latent features of each user are corresponding to the dual roles the user plays in the recommendation. Furthermore, we design a loss function for the holistic training of the model, and our loss function is made up mainly of three parts which embody the effects of different factors on the rating predictions. Specifically, the loss function (i) captures the personal preference from user-item adoption matrix based on matrix factorization, (ii) discriminates the two different social functions of users and further evaluates the effects of interpersonal influence through user embedding and social influence matrix, (iii) and avoids overfitting by imposing a quadratic regularization penalty. As a result, our model can predict the missing ratings with the MF-based method by consuming the latent features of users and items extracted by the deep model. The experiments show that our method outperforms existing methods and performs well on cold start users.
Low-Cost Smart Antenna Using Active Frequency Selective Surfaces

Smart antenna is a key technology for advanced wireless systems and one of the most important features of smart antenna is electronically beam scanning or switching. It is highly desirable to reduce the mass, power consumption and cost of smart antennas, as the traditional phased array is always associated with high cost due to the use of many T/R modules and complicated beamforming network (BFN). This paper presents the University of Kent’s recent research progress in the field of low-cost smart antenna design using active frequency selective surfaces (AFSS). Firstly, this paper presents a brief review of AFSS based beam-reconfigurable antenna including several recent designs reported by the authors’ group. Then, a new high-gain AFSS antenna design with some preliminary results will be presented. This is design achieves higher gain than the reported AFSS antennas. A detailed list of references is given at the end of this paper.
Power-Gating Models for Rapid Design Exploration

Power gating (PG) is an effective method to reduce leakage currents in an SoC design during run-time. It dynamically shuts down components using a network of sleep transistors but requires a detailed analysis to scale this network appropriately with respect to area wake-up time in-rush currents voltage drops and transition energies. In this paper we present a method to efficiently determine these key parameters for any SoC design and sleep transistor network at gate-level to enable the rapid exploration of power design alternatives while providing sufficient accuracy for high-level design exploration. Compared to SPICE our approach achieves a speed-up of up to 11457x for two ISCAS circuits a 32-bit multiplier and a RISC-V core each build for a 90nm PDK. The average error compared to SPICE is 2.6% for peak current and 10% for wake-up energy and delay.
Multiple Object Tracking Based on the Deep Neural Networks and Correlation Filter*

Online multi-object tracking is a fundamental problem in video analysis based applications. A major challenge in the popular tracking-by-detection framework is how to make data association between detections and trajectories. To tackle this, we propose an appearance model and a motion model based on the deep neural networks. In particular, we adopt a deeply learned appearance representation, which is trained on large-scale person re-identification datasets using a convolutional neural network, to improve the identification ability of our tracker. Towards the motion model, we design a long-short term memory based network for velocity estimation and use two fully-connected layers to measure the motion affinity between detections and trajectories. To alleviate the problem introduced by missing detections, a kernelized correlation filter is leveraged to localize the missing objects. Extensive experiments show that the integration of these three components is effective, and our tracker is competitive compared with existing methods.
2DOF link mechanism mimicking cheetah’s spine and leg movement

A spine of a quadruped animal has compliantly connected several segments. This structure enables the animal to realize bending/stretching motion during running along with the motion of the legs. In this paper, we describe a link mechanism for mimicking such bending/stretching motion of the spine and the leg with few degrees of freedom. By designing a linkage mechanism, we try to realize a similar motion of the spine and the hind leg as that of a cheetah. We developed a prototype with such a structure and demonstrate that it can realize the similar movement of the spine and the leg as that of a cheetah with a simple control strategy.
In-band RCS Reduction of Microstrip Antenna Using Reflective Metasurface

An integrative design approach of reflective metasurface and microstrip antenna is proposed to reduce the radar cross section (RCS) of microstrip antenna and keep the radiation performance simultaneously. To illustrate this approach, a novel metasurface antenna is presented. The results reveal that the metasurface antenna has the same working band and radiation beams with conventional antenna, meanwhile, the in-band RCS of the metasurface antenna is reduced. The results verify the effectiveness of the proposed approach.
Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras

To enable long term exploration of extreme environments such as planetary surfaces, heterogeneous robotic teams need the ability to localize themselves on previously built maps. While the Localization and Mapping problem for single sessions can be efficiently solved with many state of the art solutions, place recognition in natural environments still poses great challenges for the perception system of a robotic agent. In this paper we propose a relocalization pipeline which exploits both 3D and visual information from stereo cameras to detect matches across local point clouds of multiple SLAM sessions. Our solution is based on a Bag of Binary Words scheme where binarized SHOT descriptors are enriched with visual cues to recall in a fast and efficient way previously visited places. The proposed relocalization scheme is validated on challenging datasets captured using a planetary rover prototype on Mount Etna, designated as a Moon analogue environment.
Three Ways to Decouple Multiple Antennas in A Mobile Terminal

This paper introduces three antenna decoupling methods named MIMO multi-feed antenna, Single parasitic dual frequency antenna and Meta-Surface Antenna Array Decoupling (MAAD). They are respectively an eight MIMO multi-feed antenna system, which operating in the 5G wireless and sub 6 GHZ. Single parasitic dual frequency antenna, introduce a dual-frequency parasitic antenna element between the two antennas. Meta-surface antenna array, place a suspended meta-surface composed periodic square split ring resonators (SRRs) on the antenna array. These methods can significantly application scenarios in both mobile terminals and MIMO base stations of 5G wireless communication systems.
Tunable SIW Slot Antenna Constructed by High Permittivity Material

A novel substrate integrated waveguide (SIW) bowtie slot antenna with tunable operation frequency is presented. The tunable is done by covering a high permittivity BST dielectric thick film into the radiation slot similar to a bowtie. The radiation frequency is sensitive to the variation of the dielectric constant of the Barium Strontium Titanate (BST) ceramic. Specifically, the return loss up to -36dB is observed at the center frequency of 6.07GHz when the dielectric constant of BST is 330. The center frequency shifts from 5.31GHz-7.17GHz when the dielectric constant of the BST increases from 490 to 180. Within the tunable frequency range, the antenna gains are more than 5dBi. The radiation patterns and the gains are almost not affected by the variation of the dielectric constant of BST, which shows outstanding features of this very compact and easy fabricatedtunable antenna. As a result, the presented anten-na has great potential for the applications in tunable frequency selection metamaterials devices.
Transmitted Sequence Influence to Sonar Target Detection using Compressive Sensing

In this paper, the detection of targets in real sonar signals by transmitting various sequences is considered. In sonar systems, only the basic forms of signals were considered for transmission. The challenge of target detection under real data will be analyzed by transmitting two sequences, Alltop and Bjorck. Also, the goal is to detect and reconstruct targets by using a simple yet effective compressive sensing algorithm. Then the amplitude and the range will be calculated. The results of will be compared to the two traditionally used chirp signal, and also to the matched filter as one of the most important tools for signal detection.
Robust 3D Convolutional Neural Networks For Pulmonary Nodule Detection

Computer-aided Diagnosis(CADx) plays an important role in interpretation of medical images. In various kinds of medical images, Computed Tomography(CT) images are able to provide pivotal evidence for diagnosis of lung cancer. Especially, Early-stage lung cancer can be discovered by detecting small pulmonary nodules in patient’s CT slices. Thus, it is worthwhile to develop pulmonary nodules detection algorithm. In this paper, we introduce a pulmonary nodules detection algorithm based on object detection algorithm, with three improved techniques that focus on characteristics of pulmonary nodules detection algorithm. First, we use 3D-convolutional layers to process CT images instead of 2D-convolutional layers. Second, We designed a powerful encoder to extract image features, which can train with a small batch for active learning or retraining by hospital with limited computing resources. Third, we propose filterRPN for filtering a large number of invalid anchors and accelerate the training process. Finally, we use some experiments to show that our model got the start-of-the-art results.
Coupled Numerical and Experimental Identification of Geometrical Parameters for Predicting the Electrical Conductivity of CFRP Layers

The analysis of the electrical behavior of a unidirectional (UD) composite material requires a lot of resources and measurement techniques. To overcome this constraint, the real composite material is replaced by a virtual material with same overall behavior. In this article, an approach to determine the setting parameters of the virtual material model is presented to accurately reconstruct the electrical behavior of a real UD material in the three spatial directions.
Current-Based Direct Teaching for Industrial Manipulator

In this paper, a novel human direct teaching method of industrial manipulator with large mass and friction based on internal current sensors installed in joints is proposed. Dynamic model for an industrial robot is analyzed in detail, where the gravity torque and friction torque are the main items that need to be considered. Friction torque is influenced by joint speed and temperature. A method to identify joint friction parameters rapidly is proposed, and experiments are carried out to acquire friction characteristics under different temperatures. Then, the implementation method and improvement measures of direct human teaching are introduced in consideration of robot gravity torque and friction torque of joints. Finally, validation tests are conducted to verify the feasibility of the direct teaching method. Experiment result shows that the method based on internal current sensors is capable of realizing direct teaching flexibly and easily.