Miracle-dz/UniFAR-FTUs huggingface dataset:
Unitary Representations of Some Linear Groups

Recently I. Gelfand and M. Neumark [2] have determined the types of irreducible unitary representations of the group G1 of linear transformations of the straight line. The analogous result is obtained for the group G2 of transformations z → az + b in the complex-number plane , where a and b run over all complex numbers with the exception of a = 0, which may be considered as the group of all sense-preserving similar transformations in the two-dimensional euclidean space E2 .
A model of airport security work flow based on petri net

Extremely long lines at airports in the United States have been sharply criticized. In order to find out the bottleneck in the existing security system and put forward reasonable improvement plans and proposal, the Petri net model and the Markov Chain are introduced in this paper. This paper uses data collected by transportation Security Agency (TSA), assuming the data can represent the average level of all airports in the Unites States, to analysis the performance of security check system. By calculating the busy probabilities and the utilization probabilities, the bottleneck is found. Moreover, recommendation is given based on the parameters’ modification in Petri net model.
‘Coda’ licensing

One of the main thrusts of the research programme known as Government Phonology has been the attempt to replace the rule component of a phonology by a group of universal principles common to all linguistic systems along with a series of parameters which delimit the nature of linguistic variation from one system to another. Given the wealth of analyses that employ rules and the fact that their number continues to grow, even to this day, it is a daunting task to find plausible alternative stories for each and every analysis that employs phonological rules in some crucial way. One of the leading ideas of work done on syllable structure that I have participated in for the last ten years has been the emergence of such alternative analyses for a series of phenomena that seemed to call for phonological rules.
On the possible failure of the Gibbs property for measures on lattice systems

We review results which have been obtained in the last few years on the topic whether various measures of physical interest, defined on lattice systems, have the Gibbs property or not. Most of the measures we consider occur either within renormalization-group theory or within models of non-equilibrium statistical mechanics. In renormalization-group theory examples we discuss in particular the uniqueness regime and the critical regime. Moreover we consider the question how severely the Gibbs property is violated in various examples. To the memory of R.L. Dobrushin
The Link between Religion and Health: Psychoneuroimmunology and the Faith Factor

[][1] Eds Harold G Koenig, Harvey Jay Cohen Oxford University Press, £27.50, pp 304 ISBN 019 514360 4 Rating: ! [Graphic][2] The Lord gave, and the Lord has taken away, blessed be the name of the Lord (Job 1.21 RSV)—that was a common enough epitaph on 19th century gravestones, particularly if the deceased was a child. Religious faith was a means of coping with the tragedies that beset humanity. Psychoneuroimmunology may appear to be a world away from religious faith, but this book sees … [1]: /embed/graphic-1.gif [2]: /embed/inline-graphic-1.gif
Systems engineering for prevention-oriented, assistive technology situated in a multidisciplinary context

REACH states a complex system of systems that is not only developed by highly multi-disciplinary consortium, but moreover is situated in an environment comprised of a multitude of stakeholders (ranging from governments down to end-users) and external systems. Due to the criticality of personal data and the legal impact of medical, preventive feedback handled by REACH, and considering later CE certification requirements. It is pertinent to follow even from very early, explorative, and conceptual R&D or pre-product development phases onwards a structured systems engineering approach. In this paper, the key aspects, methods, and tools of this approach are presented, and it is shown how they were used in the concept development stage to systematically translate a variety of inputs and analyses (stakeholder workshops, user studies, use case analyses, technology analyses, etc.) into formalized requirements and a holistic system architecture blue print serving as the basis for further work organization in the project.
Disassembling and Reassembling Project Management Maturity

The ability of single research efforts in the field of project management maturity models (PMMMs) to build upon previous work is strongly limited by the adoption of different conceptions of maturity. A number of PMMMs were subjected to a qualitative content analysis in order to arrive at a generic understanding of maturity. Maturity was “disassembled” to single phrases and “reassembled” to two dimensions of maturity. One dimension was operationalized for use in a quantitative field survey. We perceive our analysis as one path to understanding project management maturity and conclude with an outlook on other potential paths.
Multi‐pulse AC–DC converter fed SVM controlled NPC inverter based VCIMD

A multi-pulse AC-DC converter fed space vector modulation (SVM) controlled neutral point clamped (NPC) inverter based vector control induction motor drive (VCIMD) is proposed here for medium power rating applications. To improve the power quality at supply side, a 12-pulse AC-DC converter is used and to meet the IEEE-519 standard, a high-pass filter is also used along with it. A three-level NPC inverter is utilised on the motor side to enhance the required performances of an induction motor drive (IMD). A modified SVM strategy is proposed to balance the capacitor voltages of the NPC inverter and to switch this inverter at very low switching frequency. The neutral point voltage balancing is achieved by the time adjustment between positive and negative small vectors. The model of proposed IMD is developed using the Simulink/MATLAB platform, and simulated response is validated with test results on a developed prototype in the laboratory to demonstrate its usefulness for medium power applications.
A K-band Direct Injection-locked Frequency Divider Using Harmonic LC Tanks

A K-band injection-locked frequency divider implemented in the TSMC 0.18"m CMOS process technology is proposed in this paper. By using the harmonic LC tank technique, the third order harmonic of the output signal from the frequency divider is enhanced and a balanced performance between the locking range and the output swing can be achieved. Com- pared with the conventional direct injection-locked frequency divider, the locking speed of the proposed frequency divider can also be improved. The chip size of the proposed frequency divider is 0:711 £ 0:776mm 2 . The measured locking range is from 24.8 to 26.6GHz and the core circuit draws a 5.4mW power from a 1.8-V supply.
PREPRINT VERSION : STILL SUBJECT TO PEER-REVIEW Mindfulness training changes brain dynamics during depressive rumination: A randomized controlled trial

Depression is a leading cause of disability worldwide and prevalence is on the rise. One of the most debilitating aspects of depression is the dominance and persistence of depressive rumination,a state of mind that is linked to onset, and recurrence of depression. Mindfulness meditation trains adaptive attention regulation and present moment embodied awareness: skills that may be particularly useful during depressive mind states characterized by negative ruminative thoughts. In a randomized controlled fMRI study, we looked at the neurocognitive mechanisms behind Mindfulness-Based Cognitive Therapy (MBCT) treatment of recurrent depression. MBCT compared with treatment as usual (TAU) decreased functional connectivity between the salience network, lingual gyrus and the occipital cortex during a ruminative state. Furthermore, the decoupling in salience network connectivity was associated with improvements in the ability to i) listen to the body for insight; ii) take a decentered perspective on one’s experiences and iii) notice and let go of distressing thoughts and images, and mediated iv) the ability to sustain and control attention to bodily sensations. These psychological processes in turn predicted improved clinical outcomes. Hence, salience network connectivity during rumination may relate to key psychological processes underlying clinical improvement following MBCT treatment.
Fully printed memristors from Cu-SiO 2 core-shell nanowire composites

An area of printed electronics in which additional development is necessary is printable non-volatile memory, which will be essential for the development of fully printed RFID tags and sensors with integrated data storage. [1] An approach to making a printable memory is to utilize materials that exhibit resistive switching; devices based on this mechanism are often referred to as memristors. [2] However, existing fully-printed memories using memristors have properties that do not allow for practical application, with inadequate cycling endurance ( 10 μs), or short retention times ( 2 NWs). When coated from solution, these devices have modest switching voltages (2 V), a fast switching speed (50 ns), good endurance (>104 cycles), and data retention times (4 days) comparable to other fully printed memristors. [6] This work reports the fabrication and characteristics of a Cu-SiO 2 NW/ethylcellulose composite that is aerosol printed in a fully-printed memristor array.
Microwave Radiometry

Before considering in detail the instrumentation involved, it is necessary to establish first of all what is meant by microwave radiometry and mention briefly its possible applications. A radiometer is a device for measuring heat radiation and the title ‘Microwave Radiometry’ is a little surprising in that it implies heat radiation at microwave frequencies. In fact a consideration of the underlying physics shows that heat radiation and electrical thermal noise are indeed the same phenomenon, although their properties were investigated independently by physicists and electrical engineers. This concept is particularly valuable in microwave radiometry, where the electronic techniques are appropriate to ultrasensitive noise measurements, but the system applications are most easily visualized in terms of heat, or, more particularly, temperature.
Co-pyrogasification of Plastics and Biomass

Over the past few decades, the sharp rise in post-consumer plastic and biomass waste has resulted in an ever growing challenge to treat such waste sustainably. Co-pyrogasification of plastics and biomass mixtures, as opposed to separately converting these waste streams, offers several advantages including an improvement in syngas quality and composition (H 2 /CO ratio) in relation to the desired application, and an easier reactor feeding of plastics. Furthermore, many studies have shown that co-pyrogasification promotes the conversion of waste to gas rather than char and tar. However, in order to achieve the desired product distribution or syngas composition, operating parameters such as the reactor temperature, equivalence ratio (air or oxygen), steam/fuel ratio and catalyst, have to be optimized. Thus, this paper aims to review literature studies on the co-pyrogasification of plastics and biomass by considering various aspects including the process principle, reactors, influence of feedstock characteristics and operating parameters on the products, as well as the synergies observed during the thermoconversion of plastics and biomass mixtures with some reference to coal mixtures when necessary.
Accuracy of Mathematical Model with Regard to Safety Analysis of Chemical Reactors

Interest in discovering multiple steady-state solutions for reaction processes grew exponentially by the existence of the first computers. Modern process simulators can find multiple solutions only by the expenditure of much effort. Three mathematical models with different accuracy are introduced and a simple comparison of model's accuracy is made with regard to safety analysis of continuous stirred tank reactor. The first two models are based on standards in chemical reactor design; the third one is an internal model of CSTR in HYSYS simulation program. Furthermore, OLE automation interface is also used to access the existing physical property packages of HYSYS.
Pedestrian Path, Pose, and Intention Prediction Through Gaussian Process Dynamical Models and Pedestrian Activity Recognition

According to several reports published by worldwide organizations, thousands of pedestrians die in road accidents every year. Due to this fact, vehicular technologies have been evolving with the intent of reducing these fatalities. This evolution has not finished yet, since, for instance, the predictions of pedestrian paths could improve the current automatic emergency braking systems. For this reason, this paper proposes a method to predict future pedestrian paths, poses, and intentions up to 1 s in advance. This method is based on balanced Gaussian process dynamical models (B-GPDMs), which reduce the 3-D time-related information extracted from key points or joints placed along pedestrian bodies into low-dimensional spaces. The B-GPDM is also capable of inferring future latent positions and reconstruct their associated observations. However, learning a generic model for all kinds of pedestrian activities normally provides less accurate predictions. For this reason, the proposed method obtains multiple models of four types of activity, i.e., walking, stopping, starting, and standing, and selects the most similar model to estimate future pedestrian states. This method detects starting activities 125 ms after the gait initiation with an accuracy of 80% and recognizes stopping intentions 58.33 ms before the event with an accuracy of 70%. Concerning the path prediction, the mean error for stopping activities at a time-to-event (TTE) of 1 s is 238.01 ± 206.93 mm and, for starting actions, the mean error at a TTE of 0 s is 331.93 ± 254.73 mm.
News Feeds and User Engagement: Evidence from the Reddit News Tab

We study how the introduction of a new non-personalized news feed impacts user engagement quantity, quality, and diversity on Reddit. In June 2018, Reddit introduced the News tab on iOS devices that surfaces popular content from a curated list of news-related communities. We leverage this natural experiment to identify the causal effects of the News tab on iOS user engagement in a difference-in-differences design. We find that the News tab increases the share of iOS devices that engage with news-related content and there is a relatively larger increase in low-quality engagement, measured through voting on the platform. We also find that the diversity of engagement within news categories and within articles from publishers across the political spectrum increases as a result of the News tab. These results suggest that non-personalized feeds can be an important tool to mitigate algorithmic filter bubbles, and need not come at the expense of reduced user engagement.
Vertical Silicon-on-Nothing FET: Capacitance-Voltage Compact Modeling

The capacitance-voltage characteristics of Vertical Fully-Depleted Silicon-On-Nothing FET (VFD SONFET) is modeled, taking into account all of the intrinsic and extrinsic capacitance components. The equivalent circuit for the accumulation, depletion and inversion regions is introduced. The analytical model has been verified by comparing the calculated characteristics with the two-dimensional numerical device simulator results obtained by Medici. The effects that are specific to VFD SONFET are identified and explained by the introduced model. The drop of the gate capacitance in the accumulation region is explained by the lack of substrate underneath the transistor channel and the dominance of the buried oxide capacitance over the gate oxide capacitance. The further decrease of the capacitance in the accumulation region is due to the neutral source and drain depletion as the gate voltage is more negative, because of the large overlap capacitances. The developed model fits the Medici results in all of the operation regions.
Smart Attendance System Using Deep Learning

: Engagement is the key to the success of the intelligent user interface.Such interface requires to respond appropriately and also needs to recognize the level of engagement. This paper presents a Deep Learning model to improve face recognition by implementing and comparing various methods used for robust face detections where the subject would give attention to the interface for a few seconds or the subject does not have the attention of the interface or just passes by the interface to register an engagement. By combining some powerful deep learning tools like Convolution Neural Network with techniques like Histogram of oriented Gradients , we can outform the older techniques and with more accuracy and with an computational efficiency ,the model is trained by CNN inorder to precisely measure the embedding of an face ( 128 measurement of each face ),the network was trained by Deep Learning and using any simple classifier and find the closest match with the measurements received from the model with the images present in the database.The end result will be the name of the student being recorded for the respective use.
Experimental investigation of premixed ammonia combustion at high Karlovitz number conditions

This thesis aims to acquire deep knowledge on turbulent premixed combustion at high Karlovitz (Ka) number conditions with the help of laser-based diagnostic measurements. Considering that ammonia (NH3), as a carbon-free energy carrier, is a promising candidate for replacing conventional fossil fuels in the future, all the investigations in this work were carried out on ammonia/air premixed flames. Different optical diagnostic techniques, including planar laser-induced fluorescence (PLIF), laser Doppler anemometry (LDA) and Rayleigh scattering thermometry, have been employed for the measurement of key species, flow velocity and temperature, respectively. Firstly, experimental research on ammonia/air premixed flames was conducted on the Lund University Pilot Jet burner (LUPJ). The flame structure was visualised through the simultaneous measurement of the temperature field together with NH radical distribution or with NO distribution. Five stoichiometric flames with Karlovitz (Ka) numbers ranging from 274 to 4720 were studied. The NH layer, used as a marker of fuel consumption layer, remains thin at the burner exit, but becomes progressively thickened along the flame height with increasing turbulent intensity (u'/SL) when the Ka is higher than 1900. This thickness increase is attributed to the penetration of the small eddies and the merging of flame branches. The NO pollutant, mainly generated in the reaction zone, was observed to exist in a wide region, across the whole flame, because of the turbulent diffusivity and the flow convection. Limited by the geometric scale, the turbulent Reynolds number (Ret) in the LUPJ flame is much smaller than the operational ranges in industrial applications. For a better understanding of highly turbulent premixed combustion, a DRZ (distributed reaction zone) burner was introduced. This burner has integral scales (l0) between 30 – 40 mm and wider working conditions with a maximum turbulent intensity (u'/SL) and Karlovitz (Ka) number up to 240 and 1008. OH-/NH-PLIF and LDA measurements have been carried out to expand fundamental understanding. The results show that NH layer thickness remains almost constant and independent of turbulent intensity (u'/SL), although all the cases are located in the distributed reaction zone regime (Ka > 100). The turbulent eddies can only wrinkle the flame surface instead of penetrating into the inner structures. The ratio of turbulent to laminar burning velocity (ST/SL) increases monotonously with the Karlovitz (Ka) number. All the signs indicate that the flamelet theory is still applicable for ammonia premixed combustion at high Karlovitz (Ka) number conditions, which is inconsistent with Peters’ assumption in the Borghi-Peters diagram.
Watermark and Cryptography of Medical Images for Content Authentication

Medical images are often transmitted over insecure channel. Telemedicine enables medical diagnosis and Patient care using modern medical equipment’s. These equipment’s generate huge volume of data every day. Hence protection of medical image is very crucial. Many approaches like encryption, digital signature, watermarking etc. are spotted in the literature. Watermarking in medical images is commonly used for content authentication, effective data distribution and management, storage, security, safe archiving, controlled access retrieval, and captioning. Medical image is usually comprised of the region of interest (ROI) and non region of interest (NROI). ROI is the region that contains important information from a diagnosis point of view so it must be stored without any distortion. This paper develops an optimized embedding of payload in medical images by using genetic optimization. The goal is to preserve the region of interest from being distorted because of the watermark. By using this system there is no need to manually define the region of interest by experts as the system will apply the genetic optimization to select the parts of the image that can carry the watermark guaranteeing less distortion . The experimental results assure that genetic based optimization is useful for performing steganography with less mean square error percentage. This research develops an optimized embedding of payload in medical images by using watermarking and cryptography. The goal is to preserve the region of interest from being distorted because of the watermark.
Reconfigurable Electronics Platform: Concept, Mechanics, Materials and Process

Reconfigurable Electronics Platform: Concept, Mechanics, Materials and Process Asrar Damdam Electronic platforms that are able to re-shape and assume different geometries are attractive for the advancing biomedical technologies, where the re-shaping feature increases the adaptability and compliance of the electronic platform to the human body. In this thesis, we present a serpentine-honeycomb reconfigurable electronic platform that has the ability to reconfigure into five different geometries: quatrefoil, ellipse, diamond, star and one irregular geometry. We show the fabrication processes of the serpentine-honeycomb reconfigurable platform in a micro-scale, using amorphous silicon, and in a macro-scale using polydimethylsiloxane (PDMS). The chosen materials are biocompatible, where the silicon was selected due to its superior electrical properties while the PDMS was selected due to its unique mechanical properties. We study the tensile strain for both fabricated-versions of the design and we demonstrate their reconfiguring capabilities. The resulting reconfiguring capabilities of the serpentine-honeycomb reconfigurable platform broaden the innovation opportunity for wearable electronics, implantable electronics and soft robotics.
Growth and characterization of Si1−xMnx alloys on Si(100)

Si1−xMnx alloy films of 50 nm thickness with 0.005⩽x⩽0.035 were grown by low-temperature molecular-beam epitaxy onto Si(100) substrates held at temperatures T in the range of 150°C⩽T⩽350°C. All films exhibit surface roughness with ∼20-nm-lateral and ∼1-nm-vertical length scales. This roughness is random for films with small x grown at the lower end of the temperature range. Films with larger x grown at higher T exhibit roughness organized into ⟨110⟩-oriented cluster arrays centered on shallow surface depressions. This organized roughness correlates with the formation of subsurface complexes of four {111} planar defects or “funnel” defects. Mn-rich, nanometer-sized nodules form near the bottom of the Si1−xMnx film and seed the formation of vertical, amorphous nanopipes. For growth of small x films at the lower end of the temperature range, these vertical nanopipes extend to the surface. In contrast, films with larger x grown at higher T form funnel defects which appear to emanate from the vertical nanopipe.