Miracle-dz/UniFAR-FTUs huggingface dataset:
A Traffic Sign Discovery Driven System for Traffic Rule Updating

Traffic rules characterize the relationship of connected roads, and are fundamental data in map. They play an important role in route planning, driver navigation, and autonomous driving system. The traffic rule update is a key ability of cartography since they change day by day in real world. Trajectory mining based method has been proposed to update traffic rule. However, it is usually effected by the trajectory outliers and hard to improve the accuracy. In this paper, we consider using data from a different source, the street images captured by driving vehicle recorders (DVR), and propose a traffic sign driven system to update the rules. To collect candidate traffic rule changes, we train an object detection model to detect the traffic signs in street images. To improve the flexibility of the system, we propose a model compression method to reduce the model size, and integrate it into DVR. Finally, we propose a spatio-temporal attention method to cluster the recognized rules. Our system supports the updating of many types of traffic rules, such as no left/right/u turn, no parking, speed limit, etc., and has high extendibility. We validate our image recognition algorithm in a real world dataset, and it achieves a precision of 99.2% and recall rate of 95.1% for image level output. It demonstrates the advantage of our proposed system.
College Women's Female Friendships: A Longitudinal View

From 1993 through 1997 undergraduate women participated in a research project that assessed the cognitive value of college women's female friendships. To capture how the cognitive value of college female friendship had changed since graduation, a qualitative longitudinal cohort study was designed to capture the phenomenon through time. The women who participated perceived the cognitive value of these relationships in ways that are consistent with feminist developmental theories and research, as well as other constructivist suppositions about life-span development. In evaluating the longitudinal data, it was apparent that across all three longitudinal constructs—constancy, change and transition—women understood their college female friendships as developmentally necessary and potent relationships whose cognitive effects carry over into their postcollegiate lives.
A location-based social network system integrating mobile augmented reality and user generated content

Location-based social networks (LBSNs) enable individuals to connect tighter through users' interdependency (e.g. friendship, common interests and shared knowledge) which derived from their physical locations and geo-tagged social media content. Nowadays, the development of mobile augmented reality (MAR) technology can enhance people's perception and interaction with the world, which enrich the way people share their geo-referenced information. In this paper, we propose a LBSN smartphone system by integrating MAR and user generated content (UGC). Users can publish their own content through an augmented reality (AR) form on a 3D model which is associated with real-world coordinates, and interact with content published by others. A prototype system is implemented on the iOS platform to prove the efficiency of the framework.
Automatic Translation of Spatio-Temporal Logics to Streaming-Based Monitoring Applications for IoT-Equipped Autonomous Agents

Environments in which IoT-equipped autonomous agents and humans tightly interact require safety rules that monitor the agents' behaviors. In this context, expressive and human-comprehensible rules based on Spatio-Temporal Logics (STLs) are desirable because they are informative and easy to maintain. Unfortunately, STLs usually build on ad-hoc platforms implementing the logic semantics. We tackle this limitation with a mechanism to transparently compile STL rules to monitoring applications composed of standard data streaming operators, thus opening up the use of high-throughput and low-latency Stream Processing Engines for monitoring rule compliance in realistic, data-rich IoT scenarios. Our contribution can favor a broader and faster adoption of STLs for IoT-equipped agent monitoring by separating the concerns of designing a rule from those of implementing its semantics. Together with our formal description of how to translate STLs to the streaming domain, we evaluate our prototype implementation based on Apache Flink, studying the effects of parameters such as time and space resolution on the monitoring performance.
A Semantic Knowledge Base for Cognitive Robotics Manipulation

This paper presents a Semantic Knowledge Base that can be adopted as an information resource for autonomous cognitive robots performing manipulation tasks. Robots can use this database to save and share descriptions of learned tasks, detected objects, and explored environments. The Semantic Knowledge Base becomes: I) a data store for efficient and reliable execution of repeated tasks; II) a web-based repository for information exchange among robots. Compared to existing work the database does not only store the 3D CAD model of each object, it stores also its function and 3D geometric shape. A set of suitable manipulation poses is generated and stored according to the shape and the type of gripper. In this way, manipulation can be performed also on objects seen for the first time or for which only an incomplete 3D CAD model exists. In this paper, we describe the ontology and the language adopted to define the knowledge base and to query it, together with the novel approach employed to solve the data sets interlinking problem related to the rescue and recovery of duplicate data. A sense-model-act framework is implemented to test the manipulation of an object which shape is in the database.
TCRM_A_197633 831..837

Balázs Németh Iván Péter Imre Boncz Anna Jagicza István Kiss Ágnes Csergő Tamás Kőszegi Péter Kustán Iván G Horváth Zénó Ajtay 1Dermatology Unit, Zsigmondy Vilmos SPA Hospital, Harkány, Hungary; 2Department of Public Health Medicine, Medical School, University of Pécs, Pécs, Hungary; 3Department of Laboratory Medicine, Medical School, University of Pécs, Pécs, Hungary; 4János Szentágothai Research Centre, University of Pécs, Pécs, Hungary; 5Heart Institute, Medical School, University of Pécs, Pécs, Hungary Purpose: Psoriasis is one of the most common lifelong lasting dermatologic diseases. According to the latest studies, psoriatic patients have a higher risk of developing cardiovascular diseases. Psoriasis is considered as a systemic inflammatory disease. Several oxidative stress markers have been shown to be elevated in psoriasis. However, a panel of biomarkers has not been used yet. This study was aimed at exploring the connection between a panel of biomarkers (C-reactive protein, asymmetric dimethylarginine, uric acid, total antioxidant capacity, malondialdehyde, and orosomucoid [ORM]) and cardiovascular risk in psoriatic patients. Patients and methods: The inclusion criterion was the onset of psoriasis with skin lesions. Exclusion criteria were impaired renal function (eGFR<60 mL/min/1.73 m), acute inflammations (urinary, respiratory, skin inflammation, etc), autoimmune disorders (rheumatoid arthritis, systemic lupus erythematosus, or inflammatory bowel disease), and any kind of biological antipsoriatic treatment. Patients with a medical history of myocardial infarction, coronary heart disease, stroke, transient ischemic attack, and carotid artery stenosis were also excluded. Biomarkers were measured by routine procedures, ELISA and HPLC. QRISK®22017 was used to assess 10-year risk of cardiovascular disease development. Psoriasis severity was measured by the Psoriasis Area and Severity Index. Results: One hundred and fourteen psoriatic patients were enrolled. Only urinary orosomucoid and urinary orosomucoid/urinary creatinine (u-ORM/u-CREAT) ratio showed significant correlation with QRISK score (u-ORM, r=0.245; u-ORM/u-CREAT, r=0.309). When comparing mild psoriatic patients to moderate psoriatic patients, significant differences could only be found in u-ORM and u-ORM/u-CREAT ratio. Conclusion: There seems to be a connection between urinary ORM and cardiovascular risk. U-ORM and u-ORM/u-CREAT ratio could be used as an indicator of low-grade inflammation in mild and moderate psoriasis. However, it is the 10-year follow-up of cardiovascular events that will determine the usefulness of this biomarker panel.
CubeSat Electrothermal Plasma Micro-Thruster: System Development and Integration

Amid growing demand to expand CubeSat mission capability, several propulsion devices have been proposed for use in nanosatellites. One device, a scalable electrothermal plasma thruster named Pocket Rocket, has been researched and designed as an inexpensive and high-performance propulsion solution. A full integration of two Pocket Rocket thrusters into a 1U CubeSat form factor for spin maneuver testing has been completed, including Argon propellant storage, pressure regulation, an RF power and thruster controller, and a complete modular support structure. This prototype module was completed and tested in an environmental vacuum chamber to ensure space-capable operation, with future plans to complete a space mission to demonstrate the full potential of Pocket Rocket. Results show that the full assembly fits together inside the 1U CubeSat form factor and that the thrusters can be controlled individually. The burn time using the current proof of concept model is approximately 3 hours with an ion number density in the plume of approximately 2 x 10 showing that the thruster is scalable from previous Pocket Rocket thruster tests and that the performance was not affected by the CubeSat integration of the thruster.
The Hadamard Product in the Space of Lorch Analytic Mappings

For a complex Banach algebra E, let HL(E) be the space of all mappings from E into E that are analytic in the sense of Lorch, endowed with the Hadamard product and with the topology of uniform convergence on bounded subsets of E. We study the topological and algebraic properties of HL(E) in connection with the topological and algebraic properties of the underlying space E. We also study the algebraic and topological properties of the space of sequences (an)n ⊂ E such that limn→∞ ‖an‖ = 0. 2010 Mathematics Subject Classification: Primary 46G20; Secondary 46E50, 46J10, 46J20.
Gender gap in the Digital Society: a qualitative analysis of the international conversation in the WYRED project

The objective of this research is to know the opinion of young people about one of the main current issues: gender stereotypes and equality. The research has been developed in the context of the WYRED project. Specifically, the information has been obtained from an international conversation about stereotypes and equality on Internet carried out on the WYRED Platform between February and March 2019. The content analysis has been done with the Nvivo software following a qualitative analysis method. The most important results are the importance of technology in the perpetuation of stereotypes, the criticism towards traditional gender stereotypes, and the defense of education in breaking stereotypes in order to achieve an egalitarian society. In short, the opinion of young people concludes in a critique of traditional stereotypes and the need for change in society.
Research on Image Contrast Enhancement Algorithm Based on Normalized Scalar Weight Map Coupled Fusion Pyramid

In order to solve defects such as color change and over-enhancement in the image texture or high signal activity area, as well as can not be both global content enhancement and local details enhancement by the current contrast enhancement algorithm, this paper proposed the image contrast enhancement algorithm based on normalized scalar weight map coupled fusion pyramid. It used the 2D direction of partial derivative, and defined the contrast and brightness metric model; and constructed the scalar weight map by these two models. Then it introduced the Laplacian pyramid decomposition mechanism to obtain the hierarchical structure of image; and embedded Gauss pyramid decomposition to produce the Gaussian pyramid of weight mapping. By defining fusion rules of the two pyramids, it got the fusion pyramid. Finally, by the fusion pyramid under the guide of image measurement and weight mapping model, it finished the image reconstruction. Experiments results show that the contrast enhancement quality of this algorithm is best to eliminate the introduction of transition enhancement and artificial saturation, as well as not affect the color balance comparison with current contrast enhancement algorithm.
Genetic diversity and phylogeny of alfalfa nodulating rhizobia assessed by nifH and nodA genes

The alfalfa ( Medicago sativa L.) is broadly cultivated in various regions of Iran, but information on the genetic structure and phylogeny of the rhizobia nodulating this legume crop is scarce. The genetic diversity and phylogeny of 16 strains, isolated from root nodules of alfalfa was assessed by nifH and nodA genes sequencing. Results showed that, nifH and nodA fragments for Six strains could not be amplified and There were no nodules obtained from the plants inoculated with these strains as well. These findings suggest that they may be non-symbiotic and opportunistic bacteria that occupy root nodules. Based on the sequences of nodA and nifH genes , ten strains belonged to the S. meliloti .
Diversification of Cloud Resource Allocation based on Improved Genetic Algorithm

Considering the optimization and multiple service levels agreement, this paper converts the resource allocation problem of Service-Based Software system in the cloud environment into a multi-objective optimization problem. Aiming at the cloud service resource allocation problem, this paper establishes a cloud resource optimization allocation model, and proposes a diversity elastic resource allocation algorithm based on genetic algorithm to solve the problem. To improve the efficiency, Algorithm uses integer coding, and in the selection operator, the elite reservation strategy and tournament strategy are introduced to ensure the convergence to the global optimal solution. In order to improve the global searching ability of genetic algorithm and to speed up the convergence rate, this paper adopts the adaptive mutation operator. Experiments verify the proposed resource optimization assignment model and solution algorithm effective, and show that the improved genetic algorithm can rapidly acquire with lower cost and higher resource utilization efficiency of the resources allocation strategy in large scale.
HyperSight: boosting distant 3D vision on a single dual-camera smartphone

Smartphones with dual cameras are increasingly popular due to the need of supporting 3D vision. The depth information is critical for 3D vision. However, the two cameras on a smartphone are too close to accurately estimate the depth information especially for objects beyond two meters. In this paper, we propose an innovative system, called HyperSight, to estimate the depth information of objects using a dual camera smartphone. HyperSight realizes a virtual longbaseline stereo vision rig by having a user to move the phone in the air. The phone movement is continuously tracked and estimated using the short-baseline dual camera seeing nearby objects. We implement HyperSight as software on a Commercial-Off-The-Shelf (COTS) smartphone and conduct real-world experiments. The results show that when measuring feature-rich objects at a distance of five meters, HyperSight achieves a mean depth error of 6cm, which is up to 10× and 18× improvement in the accuracy compared with the stereo vision system using the native dual cameras and the Measure app based on ARKit 1 on mobile devices, respectively.
ON THE DOL NET OPERATION AT VERSOVA, BOMBAY

Mechanisation of the crafts and use of synthetic materials for net fabrication have brought considerable changes in the structure and operation of dol net at Versova, Bombay. The structure of the dol net, its setting and hauling procedures as practised at Versova are described. The important procedure of spikedriving and use of various ropes for the construction of sus are described. The fishermen at Versova use three different cod ends according to availability of the different fishes and have co-operative practice of sharing a boat for transporting their catches to the landing centres. iNTROUCnON One of the most important fishing gears used traditionally for capturing Bombay duck along the Bombay-Saurashtra region is the dol net. Various workers (Pillai, 1948; Setna, 1949; Hornell, 1950;Gokhale, 1957;Ramamurthy and Muthu, 1969) have described the structure and operation of this net. Although Setna (1949) first recognized the ingenuity of the Bombay fishermen in setting and operat­ ing the net in the waters of Bombay and described some details of setting, operating and pile driving of both sus and khunt types, there have been quite a few changes in the operation and setting of the net over the past 35 years particularly at Versova. Mechaniza­ tion of the fishing craft and use of synthetic fibres for the nets and ropes were mainly re­ sponsible for these changes.
Parallel inclusive communication for connecting heterogeneous IoT devices at the edge

WiFi and Bluetooth Low Energy (BLE) are widely used in Internet of Things (IoT) devices. Since WiFi and BLE work within the overlapped ISM 2.4 GHz band, they will interfere with each other. Existing approaches have demonstrated their effectiveness in mitigating the interference. However, further performance improvement has been hampered by the design goal of exclusive communication of WiFi or BLE, which only allows one WiFi or BLE device to transmit packets at any specific time slot on the overlapped channel within the communication range. In this paper, we explore a new communication method, called Parallel Inclusive Communication (PIC), which leverages the unique modulation schemes of WiFi and BLE for parallel inclusive bi-directional transmission of both WiFi and BLE data at the same time within the overlapped channel. In this communication system, the PIC gateway is designed upon the IEEE 802.11g and 802.15. 1 frameworks while the WiFi and BLE clients are commercial off-the-shelf devices. PIC achieves similar data rates for these parallel WiFi and BLE communications as if WiFi and BLE are communicating separately. PIC's system architecture naturally fits at the edge of the Internet, which is an optimal site for concurrently collecting (or disseminating) data from (or to) an exponentially increasing number of IoT devices that are using WiFi or BLE. We conducted extensive evaluations under four real-world scenarios. Results show that compared with existing approaches, PIC can significantly i) increase the packet reception ratios by 183%; ii) reduce the round-trip delay time by 590 times and energy consumption by 50.5 times; and iii) improve the throughput under WiFi and BLE coexistence scenarios.
Supercomputers in the educational process

The present paper analyzes the question of how important is the implementation of a supercomputer in the educational process, mainly in universities, as an active actor in the training of future professionals in a great variety of fields, that allow them to improve their technological skills, very appreciated in the labor market and in the research activities in general. The report shows how is the implementation of supercomputing for training high-qualified specialists with the aim of using a tool for solving complex problems through numerical simulation. Supercomputers are considered an essential element in the higher formative levels, due to the great relevance that their use represents in the scientific development, being therefore necessary to know the fields and specialties that require this knowledge, in order to be able to analyze possible measures for improving the training plans related to this matter. The aim of the paper is to study the interaction between STEM (Science, Technology, Engineering, & Mathematics) and non-STEM subjects and the development, in deep, of a study in the field of Supercomputing training to review the performance of students, looking for new methodologies and tools to inspire and stimulate innovation at system level, long-term impact on education and training systems.
Nrf 2 ↑ Anti-oxidant gene transcription ↑ Oxidative stress Cell death Blue light

Oxidative stress plays a key role in age-related macular degeneration and hereditary retinal degenerations. Light damage in rodents has been used extensively to model oxidative stress-induced photoreceptor degeneration, and photo-oxidative injury from blue light is particularly damaging to photoreceptors. The endogenous factors protecting photoreceptors from oxidative stress, including photo-oxidative stress, are continuing to be elucidated. In this study, we evaluated the effect of blue light exposure on photoreceptors and its relationship to Nrf2 using cultured murine photoreceptor (661W) cells. 661W cells were exposed to blue light at 2500 lux. Exposure to blue light for 6 to 24 hours resulted in a significant increase in intracellular reactive oxygen species (ROS) and death of 661W cells in a time-dependent fashion. Blue light exposure resulted in activation of Nrf2, as indicated by an increase in nuclear translocation of Nrf2. This was associated with a significant induction of expression of Nrf2 as well as an array of Nrf2 target genes, including antioxidant genes, as indicated by quantitative reverse transcription PCR (qRT-PCR). In order to determine the functional role of Nrf2, siRNA-mediated knockdown studies were performed. Nrf2-knockdown in 661W cells resulted in significant exacerbation of blue light-induced reactive oxygen species levels as well as cell death. Taken together, these findings indicate that Nrf2 is an important endogenous protective factor against oxidative stress in photoreceptor cells. This suggests that drugs targeting Nrf2 could be considered as a neuroprotective strategy for photoreceptors in AMD and other retinal conditions.
Regional patterns of bacterial community composition and biogeochemical properties in the southern North Sea

The German Bight of the North Sea is characterized by intertidal flats, with high loads of suspended particulate matter (SPM) and estuarine inputs of organic matter, as well as pelagic off- shore regions. Due to tidal and wind-induced currents, the hydrography of this area is highly dynamic. In order to examine how these properties affect the regional distribution and composition of the bacterioplankton we conducted 2 surveys, in June 2002 and June 2003; in these surveys we assessed the composition of the free-living (FL) and particle-associated (PA) bacterial communities together with hydrographic properties (salinity, temperature) and biogeochemical properties (SPM, particulate organic carbon, chlorophyll, phytoplankton composition). The bacterial community com- position was determined by denaturing gradient gel electrophoretic (DGGE) analysis of 16S rRNA gene fragments, PCR-amplified by Bacteria-, Alphaproteobacteria- and Bacteroidetes-specific primer sets, and sequencing of excised bands. The results, and a multidimensional scaling (MDS) analysis of the DGGE banding patterns, showed distinct differences in the bacterial community com- position of the FL and PA fractions and also between the inshore and offshore stations. A canonical correspondence analysis (CCA), including the DGGE banding patterns, temperature, salinity and biogeochemical parameters, further showed that the community patterns and the inshore and off- shore gradients can be explained to a great extent by the hydrographic and biogeochemical condi- tions. Several prominent bands, identified as phylotypes affiliated to the Roseobacter clade, persisted throughout all 10 stations visited, whereas other phylotypes occurred only at distinct stations, inshore and offshore.