Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimizing The Location Of Charging Infrastructure For Future Expansion Of ElectricVehicle In Sao Paulo, Brazil

The increase in greenhouse gas (GHG) emissions is among the main problems faced by the growth of road transportation in Sao Paulo, the Brazilian city with the highest concentration of vehicles accounting for 28,000 vehicles per 100,000 inhabitants. Electric mobility has the potential to catalyze the development of transport, contributing to mitigate climate change, and support incipient smart cities projects with an adequate electric vehicle charging station (EVCS) network. This study comes up with the mapping of well-suited locations for EVCS by using geographic information system (GIS) analysis in combination with knowledge from a survey conducted with local electric vehicle (EV) experts. The method was tested to meet the increasing demand for EVs in the municipality of Sao Paulo by 2025, assuming the need for around 3,300 EVCS stations to support a penetration of 1 percent of EVs in urban private cars. EVCS is ideally situated in one third of the municipal districts of Sao Paulo, namely the Center, South Center, West and Southeast areas. Attributes such as unsafe non-urbanized areas and risk places subject to floods were highlighted as new findings to consider in Sao Paulo, with similar characteristics as others in Latin America areas, providing some insights about the challenges on the way to smart cities.
Linkage of Spatio-Temporal Data and Trajectories

The abundance of datasets containing spatio-temporal information calls for novel record linkage methods that can effectively operate on such data to discover records that refer to the same real-world entity. In this paper, we propose the first approach for spatio-temporal record linkage that leverages the power of LSH to provide accuracy guarantees. Through experimental evaluation, we show that our approach outperforms the state-of-the-art method and can scale well to large datasets.
Protein dynamics in the nucleus: Implications for gene expression

Fluorescence recovery after photobleaching (FRAP) microscopy was used to determine the kinetic properties of Polycomb group proteins in whole living Drosophila organisms (embryos) and tissues (wing imaginal discs and salivary glands). These are the first photobleaching experiments performed in whole embryos and tissues. Polycomb group (PcG) genes are essential genes in higher eukaryotes responsible for the maintenance of the spatially distinct repression of developmentally important regulators such as the homeotic genes. Their absence, as well as overexpression, causes transformations in the axial organization of the body. Although protein complexes have been isolated in vitro, little is known about their stability or exact mechanism of repression in vivo. I determined the translational diffusion coefficients of PcG proteins, dissociation constants and residence times for complexes in vivo at different developmental stages. In polytene nuclei the rate constants suggest heterogeneity of the complexes. Computer simulations with new models for spatially distributed protein complexes were performed in systems showing both diffusion and binding equilibria and the results compared with the experimental data. I was able to determine forward and reverse rate constants for complex formation. Complexes exchanged within a period of one to ten minutes, more than an order of magnitude faster than the cell cycle time, ruling out models of repression in which access of transcription activators to the chromatin is limited and demonstrating that longterm repression primarily reflects mass-action chemical equilibria. With the help of computer programs built to simulate diffusion in boundary conditions and binding kinetics of proteins to localized binding sites in the genome I describe in detail the observed biophysical processes underlying FRAP and offer guidance for a better setup, optimization and interpretation of photobleaching experiments.
A Framework for Leveraging Business Intelligence to Manage Transactional Data Flows between Private Healthcare Providers and Medical Aid Administrators

Leaders at company AB within different functional areas needed to effectively facilitate the integration of BI initiatives into business operations. Semi-structured interviews were used to extract key concepts and attributes relevant to business functional areas, from business leaders and these were related to BI techniques. Thematic analysis on collected data was used to identify critical success factors (CSFs). A conceptual framework was developed which comprises business CSFs that are related to opportunities for value derivation from BI activities. This framework can be used as a guideline by Company AB for opportunity assessment and BI implementation, thereby enabling Company AB to leverage the value of BI. A decision tree predictive analytics model whose business rules potentially assist in proactive churn management for companies that have customer transaction volumes as a feature, was developed. This analytics model shows that claims that are not submitted to a client's historically most frequently used medical aids and variances in transactional claim volumes of more than 20%, are good indicators of a client churn. Companies that provide value to the private healthcare industry via the facilitation and management of transactional data flows between healthcare providers and medical aid administrators will benefit from the insights derived from this model.
Performance Analysis of Random Access Channel Periodicity in the NB-IoT System

Narrowband-internet of Things is a low power wide area network provides support to low-end devices connected to the internet of things (IoT). This work studies the NB-IOT random access performance as it is considered one of the most influential characteristics of NB-IoT system. The study covers the important parameters such as periodicity, number of users, number of collisions, preamble repetitions and random access procedure delay. Simulation results show that Medium-length periodicities (such as 160ms and 320ms) provide a promising performance that balances the two uplink physical channels. While for short periodicities (40ms and 80ms) more uplink resources are wasted in random access, reducing the total number of delivered packets. Long periodicities (1280ms and 2560ms) increase the number of system collisions. The optimum periodicity value for the number of preamble repetitions (1-2-4) is 160ms. As the number of repetitions increases, longer periodicities showed better performance.
Efficacy of bioflavonoid quercetin in treatment of herpetic keratitis patients with dry eye syndrome

E-mail: sofiyaeye@ukr.net Introduction. Dry eye syndrome has drown a special attention of ophthalmologists not only because of its prevalence but also due to the increased frequency among patients with inflammatory processes in the cornea and conjunctiva. Purpose. To study the effect of bioflavonoid quercetin on the course of the inflammatory process in patients with herpetic keratitis (HK) and dry eye syndrome (DES). Material and Methods. Clinical study involved 40 patients (40 eyes) with HK (superficial keratitis) and DES; in addition, we followed up 17 patients (17 eyes) with HK-only. All patients involved in the clinical study were divided into two groups: Study Group, HK and DES patients receiving bioflavonoid quercetin, containing in Lipoflavon drug, in addition to traditional treatment, 15 patients; Control Group, HK and DES patients receiving only traditional treatment, 25 patients. Results. Clinical study findings showed that the inclusion of bioflavonoid quercetin (Lipoflavon) in the complex treatment of HK patients with DES significantly decreased the intensity of clinical signs and made it possible to decrease the treatment duration. Corneal dendritic ulceration epithelization was observed significantly earlier in patients with HK and SED receiving Lipoflafon as compared to controls, at Day (4.7±0.4) vs. Day (6.8±0.6), respectively; no corneal infiltration was observed at Days (5.5±0.5) and (7.8±0.7) in Study and Control groups, respectively. Schirmer test II values were (10.47±0.83) mm/5 min and (7.36±0.28) mm/5 min in Study and Control groups, respectively. Tear break-up time equaled (6.13±0.32) and (5.24±0.19) s, in Study and Control groups, respectively. Conclusions. Inclusion of bioflavonoid quercetin in the complex treatment of patients with herpetic keratitis and dry eye syndrome significantly increases the therapy efficacy, which is evidenced by accelerated corneal epithelization and infiltrate dispersion and significantly improved qualitative and quantitative characteristics of tear production.
A Cascaded kalman filter model-aided inertial navigation system for underwater vehicle

This paper reports the development of a low cost model aided inertial navigation system for an underwater vehicle. The inertial navigation is a combination of a complementary indirect Kalman filter for attitude estimation and another extended Kalman filter for the fusion of the dynamic model and the inertial measurement unit's output. It is shown that the fusion of an attitude and heading reference system (AHRS) with a model aided inertial navigation system (INS) can improve the accuracy of the navigation. This approach can improve the underwater navigation capabilities when no other aiding sensors are present.
Polymer nanocomposites for high-energy-density capacitor dielectrics: Fundamentals and recent progress

Polymer dielectrics are the key component in film capacitors, which are one of the most fundamental elements in modern electronics and power systems [1–3]. Film capacitors are capable of storing energy when voltage is applied, in the form of electric charges separated by a dielectric material sandwiched by a pair of metal electrodes. Film capacitors possess the advantages of high breakdown strength, low power loss and processing flexibility compared with their counterparts in competition such as electrolytic capacitors and ceramic capacitors [4], meaning they can sustain high voltage, have great efficiency in electrical energy storage and can be manufactured in low-cost and efficient methods. Moreover, the unique self-clearing (sometimes referred to as self-healing) characteristic of polymer dielectrics ensures reliable operation of film capacitors [5], which is of paramount significance since capacitors storing a large amount of electrical energy can explode when catastrophic failure occurs. To be specific, the self-clearing is a process that when localized breakdown occurs at a spot of metallized film capacitors (i.e., a film capacitor using dielectric polymer films with metallic electrodes deposited on the surface [5], [6]), the energy released in the breakdown process can "clear" the breakdown-site, forming an open circuit. This process protects the capacitor from catastrophic failure (Figure 1) [7]. Serving as a device for charge storage and control, film capacitors are commonly used in many types of circuits such as snubbers, phase shifters, filters and AC/DC converters/inverters. In particular, film capacitors are capable of releasing the stored energy in an extremely short period of time to supply a high power density [8–10], which is desirable for the pulsed power application [1]. However, sizeable energy storage has not yet been achievable with film capacitors due to the limited volumetric energy density (usually measured in Joule per cubic centimeter at the material level). This shortcoming has caused a major issue in the electrical apparatus and electrified systems where capacitors constitute a large volume and weight fraction, i.e., a bulky, and sometimes even cumbersome size. For instance, in the 800 kV voltage source converter-based high voltage direct current transmission system, each converter tower has a volume of approximately 480 m3, where capacitors are ∼60% of the converter weight, and ∼50% of the volume.
The Power Simulation of Water-Cooled Central Air-Conditioning System Based on Demand Response

With rapid development of smart grid, terminal power load is paid more and more attention, especially that of air conditioning system, which constitute an integral part of summer peak electricity load. In this paper, through controlling indoor air temperature deduced by equivalent thermal parameters-model, daily energy consumption and energy consumption during peak hours can be adjusted and reduced to realize demand side management. To reduce peak load of grid and ensure stable and reliable operation of grid, four temperature control strategies, including constant setting temperature control strategy, pre-cooling control strategy, curtailment control strategy and improved curtailment control strategy were proposed. Meanwhile, three operation schemes of the chiller were also employed. Furthermore, considering the power consumption and curtailment, five indicators including hourly average load, hourly average load ratio, energy saving ratio, load-shedding ratio during peak hours and coefficient of performance (COP) have been proposed to evaluate the performance. Results showed that the operation scheme of operating numbers control obtained better effect. Energy saving ratio was highest of 32.5% with curtailment control strategy, while load-shedding ratio during peak hours was optimal with improved curtailment control strategy. However, COP was maximum at 3.66 when pre-cooling control strategy was employed. This study can guide the operation of water-cooled air conditioning system through energy saving ratio and COP, also it has more benefits on economy of power system by hourly average load and load-shedding ratio.
An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion

Many conventional adaptive channel estimation methods are based on minimum mean square error (MMSE) criterion, maximum correntropy criterion (MCC) or least p-norm criterion. However, these criteria are not always desirable in the presence of the various kinds of noises in different wireless channels. To further enhance the adaptability of the channel estimation to different noises, this paper introduces a new criterion named generalized maximum correntropy criterion (GMCC), and calculates the estimated channel parameters using the fixed-point iteration. The convergence analysis of the fixed-point iteration based on GMCC is discussed theoretically and is verified by experiments. More experiments are implemented to show the steady-state performance of the algorithm under different noise environments and the guide of parameter selection is provided.
EEG-based Emotion Recognition Under Convolutional Neural Network with Differential Entropy Feature Maps

In recent electroencephalograph (EEG)-based emotion recognition, the differential entropy (DE) features extracted from multiple electrodes are organized as a 2D feature map for convolutional neural network (CNN) in order to utilize the information hidden in the electrodes. In this study, we attempt to investigate the influence of different feature maps on the recognition performance. Six different 2D feature maps (M1-M4: baseline feature maps without sparsity and location relationship, M5-M6: pre-defined feature maps with sparsity and location relationship) are used to organize the DE features for the traditional CNN model. Evaluation study on the DEAP dataset finds that the 2D feature map configuration exhibits statistically significant effect on the classification performance of the traditional CNN model in classifying the high/low arousal and high/low valence, respectively. However, the differences are rather limited, e.g., only 1% improvement can be resulted from selecting the optimal 2D feature map among 6 feature maps. This implies that the feature map may not be a critical issue when applying the DE features to classifying the emotion states in a CNN.
Optimal Operation of a Converter Governed AC/DC Hybrid Distribution Network with DERs

Penetration of DC distributed energy resources (DERs) and development of different DC loads necessitate the integration of DC distribution networks with the existing AC networks by deploying power electronics converters. This paper designs a centralized mixed integer linear optimization portfolio for optimal operation of a grid tied AC/DC hybrid distribution network having DERs and voltage source converters (VSCs) by leveraging the benefit of load shifting process. Power flow equations due to the presence of VSCs are modelled in this article to achieve power balance in the network at lowest energy cost condition. Simulation process is carried out on a modified IEEE 33-bus AC/DC distribution network. The case study shows that energy cost is reduced significantly due to inclusion of the load shifting process.
Contror-or-quadrotor position and attitude by the LMI-based sliding mode technique

In this paper, a robust nonlinear sliding-mode controller based on linear matrix inequality (LMI) has been proposed for controlling a quadrotor unmanned helicopter (QUH). Three subsystems have been considered in the dynamics of this quadrotor helicopter: the section that produces the lift force, the section that establishes the desired roll and pitch angles, and the section that generates the control signals in the longitudinal and transverse directions. Then, for each of these sections, a robust sliding-mode type controller has been designed, in which the sliding surface gains are obtained by the LMI method. The stability and the error convergence of this closed-loop system have been evaluated by means of Lyapunov criterion. The presented findings confirm the effective performance of the proposed approach in controlling the position and attitude of the considered QUH in the presence of external disturbances.
OmniXtend: Direct to Caches Over Commodity Fabric

There is a dearth of interfaces for efficient attachment of new kinds of non-volatile memory and purpose-built compute accelerators to processor pipelines. Early integrated microprocessors exposed an off-chip front-side bus to which discrete memory and peripheral controllers could attach in a standardized fashion. With the advent of symmetric multiprocessing and deep caches, this direct connection, together with memory controllers, has been implemented primarily using proprietary on-die technology. Proprietary interconnects and protocols hinder architectural innovation and are at odds with the open nature of the rapidly growing RISC-V movement. In this paper we introduce OmniXtend, a fully open coherence protocol meant to restore unrestricted interoperability of heterogeneous compute engines with a wide variety of memory and storage technologies. OmniXtend supports a four-hop MESI protocol and is designed to take advantage of a new wave of Ethernet switches with stateful and programmable data planes to facilitate system scalability. Ethernet transport was selected as a starting point for its ubiquity and historic resilience to reduce barriers to entry at modern bandwidths and latencies. Moreover, it allows us to build upon a vibrant ecosystem of hardware and IP, and to provide a boost to architectural innovation through the use of field-reconfigurable networking hardware. We briefly discuss the protocol operation and show performance measurements of the first ever NUMA RISC-V system prototype.
AB0214 The trajectory of disease activity in rheumatoid arthritis in the first two years of treatment in an asian ra cohort

Background Response to disease-modifying antirheumatic drugs (DMARDs) is heterogenous. Clinical information and baseline characteristics do not allow reliable prediction of which trajectory patients will follow after DMARD initiation. Objectives We analysed the change in disease activity over the first two years of treatment in rheumatoid arthritis (RA) to identify different treatment response patterns among RA patients initiating DMARDs. We wanted to establish a predictive model for identifying patients with different treatment response patterns. Methods We selected patients from our prospective RA disease registry who have been treated for three months or fewer at study entry. We analysed the change of the disease activity, as defined by the DAS28–ESR, over the subsequent two years. A predictive model with parameters from three time points is proposed to stratify patients according to the outcomes.Abstract AB0214 – Figure 1 Results We analysed the data from 179 patients over 1044 study visits. We discerned three groups of patients according to disease activity trajectories:1the first group (53%) has high DAS at study entry and approach remission after 18 months;2the second group (22%) has high DAS at entry that remained elevated throughout the study period; and,3the third group of patients (25%) started with moderately high DAS and reached remission after 3 months of treatment. Patients at risk of being in the third group can be identified using data from three time points, at initiation of DMARDs, at 3 months and at 6 months. Conclusions RA patients showed three distinct disease activity trajectories with treatment. Our model can categorise patients into these groups. References [1] Aga Ab, et al. Time trends in disease activity, response and remission rates in rheumatoid arthritis during the past decade: results from the NOR-DMARD study 2000–2010. Ann Rheum Dis2015;381–8. [2] Courvoisier DS, et al. Rheumatoid arthritis patients after initiation of a new biologic agent: trajectories of disease activity in a large multinational cohort study. EBioMedicine 2016;302–306. [3] Siemons L, Ten Klooster PM, Vonkeman HE, Glas CAW, Van de Laar MAF. J. Distinct trajectories of disease activity over the first year in early rheumatoid arthritis patients following a treat to-target strategy. Arthritis Care Res2014;66:625–630. [4] Aga Ab, et al. Time trends in disease activity, response and remission rates in rheumatoid arthritis during the past decade: results from the NOR-DMARD study 2000–2010. Ann Rheum Dis 2015,381–8 [5] Courvoisier DS, et al. Rheumatoid arthritis patients after initiation of a new biologic agent: trajectories of disease activity in a large multinational cohort study. EBioMedicine 2016,302–306 [6] Siemons, L. , Ten Klooster, P. M. , Vonkeman, H. E. , Glas, C. A. W. & Van de Laar, M. a F. J. Distinct trajectories of disease activity over the first year in early rheumatoid arthritis patients following a treat to-target strategy. Arthritis Care Res.66, 625–630(2014) Disclosure of Interest None declared
Research on collaborative beamforming for a distributed satellite cluster based on Convex Optimization

Distributed satellite cluster (DSC) consisted of number of formation flying satellites is hot research topic in the space information network. In this paper, a collaborative beamforming algorithm is proposed to enhance transceiver capability of the DSC by forming a virtual large aperture array (VLAA) based on random antenna array theory. According to the location information characteristic of the formation flying satellites in a DSC, the array manifold vector of the VLAA can be divided into two parts: one is the random term associated with the satellite perturbation; the other is the fixed term related to the design of the formation. The random term is analyzed by the random antenna array theory. Furthermore, we also formulate an optimization problem to meet the requirement of a fixed electromagnetic wave transceiver task by a optimal formation of the DSC based on mixed integer programming (MIP). Simulation results showed that the proposed algorithm can obtain an optimal formation of a DSC to enhance electromagnetic wave transceiver capability and extend the collaborative beamforming technology to the research field of space information network.