Miracle-dz/UniFAR-FTUs huggingface dataset:
CONTROLE DE TOPOLOGIA PARA A MANUTENÇÃO DA CONECTIVIDADE EM SISTEMAS MULTI-ROBÔS UTILIZANDO CONSENSO E CONTROLE PREDITIVO

Maintaining connectivity in a multi-robot system is a complex task that depends on the communication topology. In this work, a method of topology control in mobile robot networks is presented. It uses consensus and model predictive control to adjust the robots positions in a decentralized and cooperative manner, creating a redundant communication graph which ensures tolerance to communication link failure and node drop out. We present results of experiments with a commercial robot plataform, which shows the applicability of the method to real problems. Keywords— Multi-robot systems, predictive control, consensus, robotic platforms. Resumo— Manter a conectividade em sistemas multi-robôs é uma tarefa complexa e dependente da topologia de comunicação. Este trabalho apresenta uma abordagem para controle de topologia em redes de robôs móveis. O método proposto utiliza prinćıpios de consenso e controle preditivo para, de maneira descentralizada e cooperativa, ajustar as posições dos robôs a fim de que a estrutura de comunicação do grupo assuma um estado de redundância que garanta a tolerância a falhas na comunicação ou a perdas de nodos da rede. Resultados de experimentos numa plataforma robótica comercial são apresentados, comprovando a aplicabilidade desta abordagem a problemas reais. Keywords— Sistemas multi-robôs, controle preditivo, consenso, plataformas robóticas.
evere Disease Expression of Cardiac roponin C and T Mutations in atients With Idiopathic Dilated Cardiomyopathy

OBJECTIVES We performed genetic investigations of cardiac troponin T (TNNT2) and troponin C (TNNC1) in 235 consecutive patients with idiopathic dilated cardiomyopathy (DCM) to evaluate prevalence of mutations and associated disease expression in affected families. BACKGROUND Recently, mutations in sarcomeric genes have been reported in DCM. However, the prevalence, penetrance, and clinical significance of sarcomere gene mutations in large consecutive cohorts of DCM patients are poorly defined. METHODS Mutation detection was performed by fluorescent SSCP/DHPLC analysis and direct sequencing. The functional effects of mutations on interactions within the troponin complex were assessed by a two-hybrid luciferase assay. RESULTS A total of 43% (102 of 235) of the study cohort had familial DCM. One TNNC1 and four TNNT2 (three novel) mutations were identified in one and four families, respectively. The prevalence of TNNC1/TNNT2 mutations in familial DCM was 5% with a penetrance of 100%. A total of 21 mutation carriers were identified; 6 underwent cardiac transplantation, 5 died of heart failure, and 4 died suddenly at a mean age of 29 years, while 6 remained stable on medication. Functional studies showed significant impairment of mutated troponin interaction compared with wild-type control, indicating an altered regulation of myocardial contractility. CONCLUSIONS Cardiac troponin C was identified as a novel DCM gene. The disease expression associated with TNNC1 and TNNT2 mutations was severe with complete penetrance. The data suggest that mutation analysis of the troponin complex in DCM patients may prove valuable in early identification of individuals with an adverse prognosis and a high risk of premature death. This may lead to improved management and survival. (J Am Coll Cardiol 2004;44: ublished by Elsevier Inc. doi:10.1016/j.jacc. 2004.08. 027
GUIDELINES FOR SEISMIC ASSESSMENT OF DAMAGED BUILDINGS

Structural post-earthquake functionality is conventionally evaluated by trained engineers via visual inspection of the damage. A building is tagged “Green” (unrestricted access), “Yellow” (restricted access), or “Red” (no access) according to the severity of the observed damage. Whether the damage implies an actual decay in safety level of the building occupants during aftershocks is essentially left to judgment. We propose to use engineering analyses performed prior to an earthquake to determine the level of degradation in building safety implied by several different damage states. We use the loss of capacity (in ground motion terms) associated with each damage state as the quantitative measure of degradation. The likelihood that an aftershock will exceed a specific (reduced) capacity provides an objective criterion for assigning the appropriate tagging condition to that damage state. This knowledge can help engineers decide on the appropriate occupancy status should a given damage state be observed during an inspection after an earthquake. This methodology has another practical application. The same engineering analyses can also identify the level of mainshock ground motion expected to produce any damage state. Because a damage state can be associated with a tagging condition as explained above, this procedure also identifies the mainshock ground motion level that is expected to drive the intact building into a given tagging condition. Hence, after appropriate consideration of uncertainty in building response and capacity, one can use this information to develop fragility curves for green, yellow, and red tags, and for collapse of the intact building. A convolution of such fragility curves with the building site seismic hazard provides an estimate of the frequency of future building access restrictions and collapse. Such information is valuable when estimating the likelihood of loss of functionality of a critical facility or downtime of a building for expected loss estimation purposes.
Underlap DGMOS for ultra-low power digital sub-threshold operation

Inthis paperwe analyze theimpact ofgateunderlap on theeffective capacitance ofDoubleGateMOS (DGMOS) transistor fordigital sub-threshold operation. Results onaring oscillator showthat withoptimum underlap 40%improvement indelay canbeachieved with7.3Xreduction inpowerdelay product (PDP). I.Introduction Sub-threshold leakage current canbeusedinapplications requiring ultra-low powerconsumption withlowtomedium (tentohundreds ofmegahertz) frequency ofoperation [1], e.g.cellphones, PDA,pacemaker etc.DoublegateMOS (DGMOS)transistors aresuitable forsub-threshold operation (VDD < VTH(Fig. 1)) duetotheir nearideal sub-threshold slope andnegligible intrinsic capacitance [2]. Inthis paper we investigate theeffectiveness ofthegateunderlap inDGMOS device forfurther minimizing powerconsumption indigital sub-threshold operation. Unlike super-threshold operation, the intrinsic capacitance oftheDGMOS operated inthesubthreshold region isnegligible andisveryweakly dependent onthechannel length [2]. Hence, theeffective capacitance (CG) inthesub-threshold region isdominated bytheparasitic capacitance. We showthat withoptimum gateunderlap the parasitic capacitances ofDGMOScanbesignificantly reduced, whichinturn leads tolower circuit powerconsumption.
REPAIRABLE PRECAST MOMENT-RESISTING BUILDINGS

Reinforced Concrete (RC) moment-resisting frames (MRFs) are frequently used in seismic regions as lateral load resisting systems. Even though current design specifications ensure life safety for buildings, damage of structural components is allowed in extreme events. Minor damage may be repaired. Nevertheless, severely structurally damaged buildings are usually replaced, which imposes substantial economic and social costs to the owners and public. An innovative connection was developed for RC MRFs in which all components are precast and the damage is limited to replaceable reinforcement to eliminate the building total replacement. The new joint detailing incorporates (1) detachable external reinforcing steel bars restrained against buckling to develop plastic bending moments, (2) a steel pipe connecting the beam to the column through a pin connection to resist plastic shear forces, and (3) detachable mechanical bar splices to accelerate the construction of MRFs. The seismic performance of the proposed repairable RC connections was investigated through cyclic testing of a half-scale beam column joint of a nine-story building designed for Los Angeles, which is a high seismic region. A reference cast-in-place beam-column joint was also tested for comparison. The test results showed that the repairable precast connection can withstand more than seven times the design level earthquake with minimal damage and ability to be repaired afterward. The specimen was repaired by simply replacing the detachable reinforcement and was retested with the same loading protocol. The test results were the same before and after the repair. Furthermore, the repairable precast connection showed higher drift capacity than that measured for the reference cast-in-place beam-column joint. The proposed repairable precast MRFs can be constructed as fast as steel MRFs and can be repaired in few hours after severe events without the need to replace the entire structure. The paper and the presentation discuss the new joint detailing and highlights the findings of the experimental and analytical studies. 1Ph.D Candidate, Dept. of Civil & Environmental Engineering, South Dakota State University, Brookings, SD 57007 (email: abdulah.boudaqa@jacks.sdstate.edu) 2Assistant Professor, Dept. of Civil & Environmental Engineering, South Dakota State University, Brookings, SD 57007 (email: mostafa.tazarv@sdstate.edu) Eleventh U.S. National Conference on Earthquake Engineering Integrating Science, Engineering & Policy June 25-29, 2018 Los Angeles, California Repairable Precast Moment-Resisting Buildings A. Boudaqa1 and M. Tazarv2
1 Beyond Ethnicity ? Being Hindu and Muslim in South Asia

This paper addresses a question I have visited before in my work which is, as the title suggests, what does it mean to be simultaneously Hindu and Muslim? The partners of the combine can easily be substituted by other combinations involving being simultaneously Hindu and Christian or Muslim and Sikh/Christian and Buddhist/Jewish and Christian. The early part of the paper will appraise some of this complex ethnic universe in South Asia and elsewhere. The second part of the paper will review the conceptual vocabulary used to describe this universe. I regard this section, to use a Sufi metaphor, as a further maqam (station, halting place) in a journey that has time and again negotiated with and interrogated the idea of the syncretic and also attempted to contend with the question of an alternative that will describe states of identity that are seen as mixed, impure, even heretic and most certainly, confused and a source of contamination. I conclude with a more contemporary case from our times of a person
The light-component energy spectrum measurement by the ARGO-YBJ exper- iment using the lateral distribution

With the progresses in cosmic ray nuclei energy spectrum measurement from direct experiment, the idea of energy scaler construction by overlapping the data between the satellite or balloon-borned experiments and air shower arrays results turns more and more important. On the base of its high altitude and nearly full coverage, the ARGO-YBJ experiment should play a important role in this aspect. In this work the light component (proton + helium like) of cosmic rays can be selected from the shower lateral information and the energy of the cosmic ray light component will be calculated event by event. Combining the westward displacement of moon shadow position direction using the same set of data, the construction of an energy scaler is discussed.
Distributed Initial Synchronization for 5G Small Cells

Time synchronization in a large network of small cells enables efficient interference management as well as advanced transmission techniques which can boost the network throughput. In this paper, we focus on the distributed initial synchronization problem and propose different solutions aiming at reducing the residual asynchronous interference while limiting the number of large timing reconfigurations at each node. Simulation results show the effectiveness of an ID-based approach in limiting the asynchronous interference, however at the expense of a potential high number of timing reconfigurations. A pathloss-based solution limits such reconfigurations but also leads to a higher residual interference than the ID-based solution. An hybrid solution is shown to be an effective trade-off between the two former approaches.
European models of multidisciplinary rehabilitation services for traumatic brain injury.

McElligott J, Carroll A, Morgan J, Macdonnell C, Neumann V, Gutenbrunner C, Fialka-Moser V, Christodoulou N, Varela E, Giustini A, Delarque A, Assucena A, Lukmann A, Tuulik-Leisi V, Zoltan D: European models of multidisciplinary rehabilitation services for traumatic brain injury. Am J Phys Med Rehabil 2011;90:74 Y 78.
Comparison of Radio Frequency and Visible Light Propagation Channels for Vehicular Communications

Recent research has shown that both radio and visible light waves can be used to enable communications in highly dynamic vehicular environments. However, the roles of these two technologies and how they interact with each other in future vehicular communication systems remain unclear. Understanding the propagation characteristics is an essential step in investigating the benefits and shortcomings of each technology. To this end, we discuss salient properties of radio and visible light propagation channels, including radiation pattern, path loss modeling, noise and interference, and channel time variation. Comparison of these properties provides an important insight that the two communication channels can complement each other’s capabilities in terms of coverage and reliability, thus better satisfying the diverse requirements of future cooperative intelligent transportation systems.
Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization

The discovery of drug-target interactions (DTIs) is a very promising area of research with great potential. The accurate identification of reliable interactions among drugs and proteins via computational methods, which typically leverage heterogeneous information retrieved from diverse data sources, can boost the development of effective pharmaceuticals. Although random walk and matrix factorization techniques are widely used in DTI prediction, they have several limitations. Random walk-based embedding generation is usually conducted in an unsupervised manner, while the linear similarity combination in matrix factorization distorts individual insights offered by different views. To tackle these issues, we take a multi-layered network approach to handle diverse drug and target similarities, and propose a novel optimization framework, called Multiple similarity DeepWalk-based Matrix Factorization (MDMF), for DTI prediction. The framework unifies embedding generation and interaction prediction, learning vector representations of drugs and targets that not only retain higher order proximity across all hyper-layers and layer-specific local invariance, but also approximate the interactions with their inner product. Furthermore, we develop an ensemble method (MDMF2A) that integrates two instantiations of the MDMF model, optimizing the area under the precision-recall curve (AUPR) and the area under the receiver operating characteristic curve (AUC), respectively. The empirical study on real-world DTI datasets shows that our method achieves statistically significant improvement over current state-of-the-art approaches in four different settings. Moreover, the validation of highly ranked non-interacting pairs also demonstrates the potential of MDMF2A to discover novel DTIs.
The Neuronal Group Selection Theory: a framework to explain variation in normal motor development

During the last century, knowledge of the mechanisms governing the functions of the central nervous system increased rapidly as sophisticated physiological, neurochemical, and imaging techniques developed. In the field of motor control, better understanding of neurophysiology caused a gradual shift from the concept that motor behaviour is largely controlled by reflex mechanisms1,2 towards the notion that motility is the net result of complex spinal or brainstem activity, which is subtly modulated by segmental afferent information and ingeniously controlled by supraspinal networks3,4. Nowadays it is assumed that motor control of rhythmical movements like locomotion, respiration, sucking, and mastication is based on so-called central pattern generators (CPGs): neuronal networks which can generate complex basic activation patterns of the muscles without any sensory signals. Nevertheless, sensory information of the movement is important in adapting the movement to the environment. The activity of the networks, which are usually located in the spinal cord or brainstem, is controlled from supraspinal areas via descending motor pathways4. The supraspinal activity itself is organized in large-scale networks in which cortical areas are functionally connected through direct recursive interaction or through intermediary cortical or subcortical (striatal, cerebellar) structures5–7. Concurrently, albeit at a considerably slower pace, knowledge of motor development has increased. Consequently, theoretical frameworks for the processes involved in the development of motor control have changed. The aim of the present paper is to discuss the two major current but conflicting theories; the Neural-Maturationist Theories and the Dynamic Systems Theory. A third theory, the Neuronal Group Selection Theory (NGST) will also be discussed. The NGST combines the ‘nature’ part of the Neural-Maturationist Theories with the ‘nurture’ part of the Dynamic Systems Theory. Application of the concepts of the NGST could facilitate the understanding of motor disorders and, thereby, offer new possibilities for intervention therapies – an issue which will be discussed in a forthcoming publication8.
Effect of Engineering Treatments on Extraction of Roselle Juice ( Karkdah )

Roselle juice are a good source of anthocyanin with several potential applications in the food, pharmaceutical and cosmetic industries a far as anthocyanin extract is concerned. The search for optimal operating conditions to maximize the efficiency of the process in necessary. In this work increasing the adsorption kinetics and isotherms was studied to determine the parameters to be optimized to recover the anthocyanins from aqueous extracts of the roselle. The results revealed that, the best combination of independent variables, in order to obtain the highest of anthocyanins (1250 mg/ 100g d.s.), Vitamic c (145 mg/ 100 g d.s.) and total phenols (4163 mg / 100 g d.s.) were obtained by extracting using acidified water with 2% citric acid for 210 min as retention time at 25 degrees ̊C, using the highest solid – to – solvent ratio (1/25) The deepest red purple (Hue = 14.04 & purity (C) 51.39) colored solution was observed under this condition. The best DPPH scavenging activity expressed as EC50 was obtained (40.50 u/ml). Therefore, results of this study can be used to determine application of roselle anthocyanins in a variety of food products as food colorants such as confectionery products, gelatin desserts, snaks, cake, pudding, ice cream and beverages .
Table 2 : Satisfaction between Tasks and Workers in Example

The rapid development of mobile devices has stimulated the popularity of spatial crowdsourcing. Various spatial crowdsourcing platforms, such as Uber, gMission and Gigwalk, are becoming increasingly important in our daily life. A core functionality of spatial crowdsourcing platforms is to allocate tasks or make plans for workers to efficiently finish the published tasks. However, existing studies usually ignore the fact that tasks may impose different skill requirements on workers, which may lead to decreased numbers of accomplished tasks in real-world applications. In this work, we propose a practical problem called TOTP, Team-Oriented Task P lanning, which not only makes feasible plans for workers but also satisfies the skill requirements of different tasks on workers. We prove the NP-hardness of TOTP, and propose two greedy-based heuristic algorithms to solve the TOTP problem. Evaluations on both synthetic and real-world datasets verify the effectiveness and the efficiency of the proposed algorithms.
COMPARISON OF HUMAN MACHINE INTERFACES TO CONTROL A ROBOTIZED WHEELCHAIR

Assistive robotics solutions help people to recover their lost mobility and autonomy in their daily life. This work presents a comparison between two Human Machine Interfaces (HMIs) based on head postures and facial expressions to control a robotized wheelchair. Comparing both strategies, JoyFace has shown to be the safest and easiest to use, on the other hand, RealSense has demanded more physical efforts but may be the appropriate solution for people who suffered severe trauma as most of them cannot even move their heads. Although both HMIs need improvements, these strategies have shown to be promising technologies for people paralyzed from down the neck to control a robotized wheelchair. Keywords— Computer Vision, Robotized Wheelchair, Assistive Technology, Human Machine Interface Resumo— Pessoas com deficiência severa necessitam de alternativas de controle de cadeira de rodas. Este trabalho apresenta a comparação de dois sistemas baseados em expressões e movimentos faciais: a JoyFace e RealSense. A proposta JoyFace foi avaliada como segura e fácil de utilizar, mas demanda alto esforço f́ısico além de necessitar de uma tela de feedback do rosto do usuário. Em contrapartida, a RealSense exigiu menor demanda f́ısica e pode ser utilizada por usuários com graves limitações de movimentos. Apesar dos resultados obtidos indicarem que as interfaces necessitam de melhorias, ambas mostraram-se promissoras no controle de uma cadeira de rodas robotizada, podendo oferecer autonomia e segurança para o operador. Palavras-chave— Visão Computacional, Cadeira de Rodas Robotizada, Tecnologia Assistiva, Interface Humano Computador
SURFACE CHARACTERIZATION OF LI COATINGS AND THEIR INTERACTION WITH PLASMAS FOR FUSION APPLICATIONS VIA ION BEAM ANALYSIS TECHNIQUES

Conditioning of Plasma Facing Components (PFC) is a common practice to improve the plasma performance in both tokamaks and stellarators. The evaporation of thin Li films on the PFC and first wall has given positive results in multiple machines (CDX-U, LTX, TFTR, NSTX, EAST). Reduced recycling and impurity concentration in the plasma are commonly associated with Li. As a consequence, improved energy confinement times and increased stored energy have been observed, in addition to the reduction of Edge Localized Modes (ELMs) frequency. Multiple studies have been dedicated to investigate the surface properties of Li and its interaction with species that are common in fusion environments e.g. H, D, O. As the Plasma Material Interactions (PMI) occur near the surface of the PFC (top 10-100 nm), methods with such probed depths, such as Ion Beam Analysis (IBA) techniques are a remarkable resource to characterize these materials and the effect that plasmas have on them. The Dynamics of ION Implantation and Sputtering Of Surfaces (DIONISOS) is an in-situ analysis facility, designed to expose samples to plasmas and interrogate their surfaces using IBA. The experiment is equipped with a linear plasma source that can produce discharges with fluxes near 1021m-2s-1 and electron temperatures around to 6 eV. DIONISOS is attached to an ion accelerator, allowing the execution of Elastic Recoils Detection (ERD), Rutherford Backscattering Spectroscopy (RBS) and Nuclear Reactions Analysis (NRA). The facility is also equipped with a Li evaporation system for in-situ deposition of thin films. The combination of modification and analysis tools available in DIONISOS, makes it ideal to study the dynamic and multivariable relationship of Li and plasmas. This work includes in-situ ERD data collected during deposition, erosion and oxidation of thin Li films applied on different substrates. Oxygen concentration near 40% in the Li coatings were measured following 2 hours after their deposition using ERD, in the same way, Li intercalation into a graphite matrix was observed using