Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile golf swing tracking using deep learning with data fusion: poster abstract

Swing tracking is one of the key information for many sports such as golf. One approach to track swing is to use IMU to measure linear acceleration then get position by two-time integration. However, the complex noise model of the IMU limit the accuracy of the tracking. Another approach is to use depth sensor to measure 3D location of a point of interest directly. Unfortunately, the depth sensor-based approach cannot accurately measure the trajectory of a swing when the sensor is occluded, which happens regularly. To overcome these limitations, we develop a novel solution to make use of these two sensor modalities (i.e., IMU and depth sensor) by a novel deep neural network to produce high precision swing trajectory tracking. The learned network automatically makes use of the IMU when the depth sensor is occluded, and relies on depth sensor when IMU signal is noisy. Our experiment shows that the proposed method outperforms state-of-the-art swing tracking method by 62% of error reduction.
FaHo: deep learning enhanced holographic localization for RFID tags

In recent years, radio frequency identification (RFID)-based approaches have been demonstrated to be a promising indoor localization techniques for many valuable applications, such as tracking tagged objects on the manufacturing lines, locating items in smart warehouses, and so on. In the near future, many applications will gain great benefits from knowing the positions of RFID-tagged objects. However, existing localization approaches often suffer from severe accuracy degradation in real-world environments due to the prevalent environmental interferences, such as the multipath effects. To this end, we designed an RFID-based localization system FaHo, which leverages a deep learning enhanced holographic technique for locating RFID tags accurately even in complex indoor environments. By carefully analyzing the features of the traditional holographic method, we created a new hologram-based algorithm called joint hologram, which yields a robust likelihood for each assumed position to be the true tag position. FaHo then adopts a deep convolutional neural network for analyzing the whole hologram, and subsequently estimate the true location of the RFID tag rather than simply seek for the largest-likelihood location. Furthermore, we implemented FaHo and evaluated its performance in several multipath-rich scenarios. The experimental results show that FaHo can achieve centimeter-level accuracy in both the lateral and radial directions using only one moving antenna. More importantly, our work also demonstrates that hologram-based localization is a highly effective technique for RFID indoor localization tasks.
Postglacial rebound and sea level contributions to changes in the geoid and the Earth's rotation axis

SUMMARY The rate of change of the spherical harmonic degree 2 component of the Earth’s gravitational potential (CoA 20) and polar wander velocity are two signals which are sensitive to Late Pleistocene deglaciation, current changes in sea level and deep mantle viscosity. Diierent load and earth models have been used in earlier papers to predict the component of these geophysical signals caused by the collapse of the last great ice sheets and recent melting of polar ice caps. In this paper, we present a systematic analysis of the dependence of the predictions on parameters of the ice and earth model. We show that the key parameters of the ice model which govern the predictions are the mass, the location of the centre of mass and the midpoint of the deglaciation phase. Of secondary importance is the length of the deglaciation phase and the mean ice load prior to the Last Glacial Maximum.These conclusions enable us to make a more robust inference of mantle viscosity than has been made before, allowing for the uncertainties in the model of Late Pleistocene and present deglaciation. As previous authors have shown, the lower-mantle viscosity is the most important rheological parameter and therefore theCoA 20 observation complements sea level observations, which are primarily sensitive to lithospheric thickness and the viscosity of the upper part of the mantle. Using realistic constraints on the sizes, locations and timing of deglaciation of the Late Pleistocene ice sheets and current changes in polar ice caps, the observation of CoA 20 is used to infer lower-mantle viscosity as a function of the present rate of sea level change. If the present rate of non-steric sea level change is 1 mm yr {1 and that change has been occurring for less than 1000 years, then the lower-mantle viscosity satis¢es log10 glm~21:82+0:15, which is consistent with inferences drawn from recent sea level analyses and con¢rms other analyses of theCoA 20 observation. If the polar wander signal is produced entirely by postglacial rebound and current sea level change, no more than 20 per cent of the present contribution to global sea level change comes from Greenland. The above conclusions also hold if the density discontinuities at 420 and 670 km are modelled as phase boundaries rather than material (chemical) boundaries.
MATLANG: Matrix operations and their expressive power

We investigate the expressive power of MATLANG, a formal language for matrix manipulation based on common matrix operations and linear algebra. The language can be extended with the operation inv for inverting a matrix. In MATLANG + inv we can compute the transitive closure of directed graphs, whereas we show that this is not possible without inversion. Indeed we show that the basic language can be simulated in the relational algebra with arithmetic operations, grouping, and summation. We also consider an operation eigen for diagonalizing a matrix. It is defined such that for each eigenvalue a set of orthogonal eigenvectors is returned that span the eigenspace of that eigenvalue. We show that inv can be expressed in MATLANG + eigen. We put forward the open question whether there are boolean queries about matrices, or generic queries about graphs, expressible in MATLANG+eigen but not in MATLANG+inv. Finally, the evaluation problem for MATLANG + eigen is shown to be complete for the complexity class 9R.
Automatic Stage-form Circuit Reduction for Multistage Opamp Design Equation Generation

An automatic stage-form circuit reduction method for multistage operational amplifiers (opamps) is proposed. A tool based on this method can reduce a multistage opamp into a condensed stage-form macromodel, from which design equations can be generated automatically by another existing symbolic program. The proposed model generation method is fully symbolic; namely, it does not make reference to any numerical device values with a circuit, hence it does not require circuit biasing and sizing at an early design stage. The parameters coming with the generated models are dominant-effect approximation of the stage-related characteristics of the original circuits and thus are visually readable for design reasoning. Compensations in the original circuits are extracted automatically and reserved in the macromodel circuits. The user of this tool is only required to input the circuit stage information by identifying several key devices in the original circuits. As design equations can also be automatically generated from stage-form macromodels by a purely symbolic method, the proposed model generation method completes the path from a transistor-level opamp circuit to its characteristic design equations in a completely formal way. Examples are provided to demonstrate the effectiveness of the proposed model generation method, and numerical validation is further carried out to verify that the reduced symbolic models can successfully capture the key circuit behavior in the frequency domain for multistage opamps.
KinPhy: a kinetic in-band channel for millimetre-wave networks

We propose a system for enabling auxiliary communication channels in which a node transmits a millimeter (mm) wave signal which is reflected off a deliberately vibrating surface of a second node and then received by the first node. Data sequences can be encoded in the modulation of the surface, and radar sensing techniques can be used to demodulate the reflected signal. Hence our system enables not only conventional sensing in terms of range, velocity, and orientation estimation but also allows for information to be conveyed by the sensed device. We introduce the design of a metasurface driven by an energy-efficient programmable piezo-electric actuator, detail suitable radar processing, and characterize the link performance of the kinetically induced channel at distances up to five meters. As this metasurface could be used for both mobile devices and infrastructure devices, we describe opportunities for enabling novel capabilities including secure device authentication and extended-range wireless sensing across multiple devices.
Phospholipase A 2 Mediates Apolipoprotein-Independent Uptake of Chylomicron Remnant-Like Particles by HumanMacrophages

Apolipoprotein E-receptor-mediated pathways are the main routes by which macrophages take up chylomicron remnants, but uptake may also be mediated by receptor-independent routes. To investigate these mechanisms, triacylglycerol (TG) accumulation induced by apolipoprotein-free chylomicron remnant-like particles (CRLPw/o) in human monocyte-derived macrophages was evaluated. Macrophage TG content increased about 5-fold after incubation with CRLPw/o, and this effect was not reduced by the inhibition of phagocytosis, macropinocytosis, apolipoprotein E function, or proteoglycan bridging. The role of lipases, including lipoprotein lipase, cholesteryl ester hydrolase, and secretory (sPLA2) and cytosolic phospholipase A2, was studied using [3H]TGlabelled CRLPw/o. Total cell radioactivity after incubation with [3H]TG CRLPw/o was reduced by 15–30% by inhibitors of lipoprotein lipase and cholesteryl ester hydrolase and by about 45% by inhibitors of sPLA2 and cytosolic PLA2 . These results suggest that macrophage lipolytic enzymes mediate the internalization of postprandial TG-rich lipoproteins and that sPLA2 and cytosolic PLA2, play a more important role than extracellular lipoprotein lipase-mediated TG hydrolysis.
Understanding the Player-Game Relationship through Challenges and Cognitive & Motor Abilities

We explore the relationship between a player’s cognitive and motor abilities, and the abilities necessary for completing specific challenges. Existing engineering-focused work does not treat the player on the same footing as the game. We view (the mechanical part of) games as a system of systems composed of the game mechanics (including challenges), and the player via their cognitive and motor abilities. In particular, we incorporate a player model in the definition of what makes challenges the same. This allows us to define a typology of challenges and of abilities specific to games. Our motivation is to better understand the relation of abilities to the mechanical parts of players’ game experiences, and thence to better craft them. For space reasons, we focus on a subset of challenges and abilities. CCS Concepts •Applied computing → Computer games; •Humancentered computing→User models; Interaction design theory, concepts and paradigms; Interaction devices;
Pine mistletoe (Viscum album ssp. austriacum) contributes to Scots pine (Pinus sylvestris) mortality in the Rhone valley of Switzerland

Summary In recent years unusual high mortality of Scots pine (Pinus sylvestris) has been observed in the Swiss Rhone Valley. The exact causes, however, are not known. At a 2-ha monitoring plot, tree mortality and crown condition have been monitored since 1996. Between 1996 and 2004, 59% of the Scots pines died, most of them following the drought periods 1996–1998 and 2003–2004, while only 15% of the deciduous trees died. Crown transparency, needle discolouration, dead branch percentage, mistletoe (Viscum album ssp. austriacum) rating, Tomicus sp. shoot feeding, male flowering effect, tree stem diameter, crown shading and social tree class assessed in 1998 were used in a logistic regression model to predict tree mortality. Crown transparency, mistletoe rating and percentage of dead branches were found significant in the model and the probability of tree mortality increased with increasing rankings of these parameters. Needle discolouration could be used to substitute dead branch percentage as predictor. While crown transparency increased with mistletoe rating, for trees in the same transparency class, trees with medium and heavy mistletoe infection were two to four times more likely to die than trees with no or only low mistletoe infection. For the surviving trees we found that trees with mistletoes showed a significantly higher increase in transparency in the year following a drought than trees without, while in a drought year the opposite was true. At the beginning of the observations no significant differences in transparency had been found between the trees with and without mistletoe. However, by the end of the observation period trees with mistletoe had significantly higher crown transparency. We conclude that mistletoe infection can be considered as both a predisposing factor for tree death, by increasing needle loss following drought and a contributing factor by increasing water stress during drought.
The presence of tertiary pattern 5 on RP pathology reports should guide clinicians as they counsel patients regarding the necessity for ‘‘high-risk’’ postoperative follow-up and may open discussion for a low threshold for adjuvant radiation and/or androgen-deprivation therapy

period of 114 mo. The authors found that Gleason score 7 tumors (both 3 + 4 and 4 + 3) with higher tertiary grades displayed statistically significant differences for recurrence-free survival when compared with equally scored tumors that lacked higher tertiary grades ( p = 0.03). Interestingly, Gleason score 7 tumors with tertiary 5 foci had comparable survival rates as specimens with Gleason score 8 ( p = 0.9). The authors suggest that because the current binary grading system does not take into account the existence of tertiary growth patterns, it may exclude higher grade foci that appear to be clinically significant. They conclude that inclusion of a tertiary growth pattern in the pathologic report should be considered and, when present, should prompt clinicians to manage certain tumors as higher risk lesions.
Tensor product model transformation-based sliding surface design

Motion control has been a fruitful ground for applying Variable Structure Systems (VSS) theory. This paper provides an assessment of the state of the art of the relevant theoretical results for sliding mode control. The design of a sliding-mode controller consists of three main steps. First step is the design of the sliding surface, the second step is the design the control law which holds the system trajectory on the sliding surface, and the third and key step is the chattering-free implementation. The main contribution of that paper is a new method for sliding surface sector design based on tensor product (TP) model transformation to reduce the chattering.
Title Endothelin-1 Induces Expression of Connective Tissue Growth Factor in Bronchial Epithelial Cells

Endothelin-1 (ET-1) is a potent vaso and bronchoconstrictor. We have previously shown that in the presence of ET-1 bronchial epithelial cells migrate more slowly. Connective tissue growth factor (CTGF) is a cysteine rich secreted protein and regulates fibrosis. In addition, we have previously shown that CTGF is expressed in airway epithelial cells under the conditions of stress starvation. The aim of this study was to describe the effect of ET-1 on CTGF expression, using a lung epithelial-fibroblast co-culture system. Bronchial epithelial cells (BEC) were grown and stimulated with ET-1, 100ng/ml of media, for 24 hours. At 0, 4 and 24 hours, total RNA was isolated. Reverse transcription PCR was performed and CTGF transcripts were semi-quantified. In addition, BEC were grown in co-culture, in the presence of human lung fibroblasts (FB). The same experiment was conducted for FB grown in the presence or absence of ET-1. Control cells were grown only in the basal media. At both time points, following exposure to ET-1, BEC expressed more CTGF as compared to control. Cells in co-culture with FB, expressed no CTGF at 4 hours, and detectable CTGF at 24 hours. CTGF was detected at all time points for FB in both control and stimulated cells. ET-1 induces expression of CTGF in BEC as compared to control. ET-1 may be an important regulator of CTGF expression in the airway. Lung fibroblasts may secrete epithelial cell regulatory factors, controlling the expression of CTGF in the presence of ET-1.
Agency of Autistic Children in Technology Research—A Critical Literature Review

Autistic children are increasingly a focus of technology research within the Human-Computer Interaction (HCI) community. We provide a critical review of the purposes of these technologies and how they discursively conceptualise the agency of autistic children. Through our analysis, we establish six categories of these purposes: behaviour analysis, assistive technologies, education, social skills, therapy and well-being. Further, our discussion of these purposes shows how the technologies embody normative expectations of a neurotypical society, which predominantly views autism as a medical deficit in need of ‘correction’. Autistic children—purportedly the beneficiaries of these technologies—thus become a secondary audience to the largely externally defined purposes. We identify a lack of design for technologies that are geared towards the interests, needs and desires of autistic children. To move HCI’s research into autism beyond this, we provide guidance on how to consider agency in use and explicitly allow for appropriation beyond externally driven goals.
Software-defined wireless mesh networking for reliable and real-time smart city cyber physical applications

The growing demand for and the diverse mobility patterns of smart devices place an increasing strain on the wireless mesh networks (WMNs) of smart city cyber physical systems (CPS). Realizing reliable and real-time smart city CPS applications is challenging because routing the data among wireless routers using existing routing algorithms that are based on Ad-Hoc and local area network flavors cannot make effective routing decisions due mainly to only local knowledge maintained by an individual router about each of its neighbors, which reflects only a partial visibility of the network. An attractive and more realistic alternative is to adopt Software Defined Networking (SDN), which offers a logically centralized, up-to-date view of the entire network by refactoring the wireless protocols into control and forwarding decisions. This paper presents solutions to overcome key challenges that must first be overcome to realize the potential of SDN in WMNs for smart city applications. Specifically, we describe a novel network architecture that integrates SDN and WMNs to perform network virtualization, routing and network traffic engineering thereby improving the predictability, reliability and the flexibility of the communication network. The benefits of this approach are demonstrated and evaluated for an emulated smart cities use case.
Emotion recognition from the eye region in children with and without Autism Spectrum Disorder in Arab and Scandinavian countries

Abstract Background: Difficulties in facial emotion recognition (ER) skills are linked to autism spectrum disorder (ASD) in studies performed in Western and Eastern Asian countries. However, there is a paucity of research examining ER skills in Arab countries, where face-covering veils are more common than in Western countries. Objective: Our aim was to examine basic ER and ER error patterns in Egyptian and Finnish children with and without ASD. Method: We employed the eye-submodule of the Frankfurt Test and Training of Facial Affect Recognition (FEFA) and the Autism Spectrum Screening Questionnaire (ASSQ). Results: Arab children with ASD (n = 34, M age = 8.6 years, FSIQ = 96.7) recognized correctly fewer emotions than did Scandinavian children with ASD (n = 32, M age = 12.5 years, FSIQ = 102.8) and Arab typically developing (TD) children (n = 34, M age = 10.3 years, FSIQ = 123.4) in general and specifically on surprise, disgust and neutral scales as well as on a blended emotion scale. Scandinavian children with ASD demonstrated a lower ability to recognize emotions in general and specifically happiness than did Scandinavian TD children. There were no differences between Arab and Scandinavian (n = 28, M age = 13.9 years) TD children in ER accuracy. We found country specific differences in ER error patterns in happiness, sadness and anger: Arab children interpreted these emotions more often as another emotion (happiness = sadness, sadness = anger, anger = sadness and surprise), whereas Scandinavian children interpreted happiness and sadness as neutral expression and anger as disgust. Arab children with ASD labeled sadness and anger in their ER error patterns more negatively than did Arab TD children, but there were no differences between Scandinavian children with ASD and TD in ER error patterns. Conclusions: The differences between the Arab and Scandinavian children may reflect cultural differences in ER and ER error patterns.
Hate speech against Central American immigrants in Mexico: Analysis of xenophobia and racism in politicians, media and citizens

This doctoral thesis project is carried out with the support of the Observatorio de lo Contenidos Audiovisuales (OCA) and the doctoral program of Education in the Knowledge Society of the University of Salamanca. This project seeks to analyze messages published in the social network of Twitter, to identify the origin of hate speech against Central American migrants in Mexico according to the three spheres of the agenda building (Media, Politics and Public) to determine where it starts and which of the three has more influence on the propagation of this discourse. In order to carry out this research, the Twitter API will be used to download the messages posted on the social network, and automated feelings analysis tools based on supervised automatic machine learning will be used for this, the feelings analysis tool will be used on this thesis is AutoCop, which was developed by members of the OCA and used for investigations that handle large scale data.