Miracle-dz/UniFAR-FTUs huggingface dataset:
Personalidad situacional en adolescentes de colegios estatales de Lima Metropolitana

Se aborda una vision de la personalidad y se presenta los rasgos de personalidad situacional del adolescente de colegios estatales de lima Metropolitana, Para ello se estratifico de 128 adolescentes del 4to y 5to de estudios de secundaria de ambos sexos con el proposito de ver su perfil de actuacion frente a situaciones de la vida diaria. Se aplico la Escala de Personalidad Situacional. Encontrando que las dimensiones de personalidad situacional, los resultados apuntan en tres direcciones: 1. Los varones muestran mas estabilidad, autonomia, tolerancia y menos preocupacion por ocultar sus debilidades; 2. Las mujeres se muestran mas asertivas (para organizar grupos), mas amables, mas habiles socialmente y con mayor sentimiento de confianza en si mismas. 3. Ambos generos muestran un nivel similar de ansiedad, autoconcepto (autoestima), eficacia, autoconfianza, dominancia, ajuste social, agresividad, integridad y deseabilidad social. Asi como el adolescente de quinto ano muestran mejor confianza en si mismos, mas habilidad social y mejor autoconcepto en general, que los de cuarto ano. Estas diferencias pueden describirse de manera resumida mediante la afirmacion de que el grupo de quinto ano muestra mas madurez social y emocional mientras que el adolescentes de cuarto ano muestran una tendencia mas alta que los de quinto en cuanto a actuar con mayor de control interno antes de responder o actuar y mayor disposicion para desenvolverse de manera precavida.
MSGC: A New Bottom-Up Model for Salient Object Detection

Saliency detection has been a hot topic in computer vision and image processing communities. Utilizing the global cues has been shown effective in saliency detection, whereas most of prior works mainly considered the single-scale segmentation when the global cues are employed. In this paper, we attempt to incorporate the multi-scale global cues (MSGC) for saliency detection. Achieving this proposal is interesting and also challenging (e.g., how to obtain appropriate foreground and background seeds; how to merge rough saliency results into the final saliency map efficiently). To alleviate various challenges, we present a solution that integrates three targeted techniques: (i) a self-adaptive approach for obtaining appropriate filter parameters; (ii) a cross-validation approach for selecting appropriate background and foreground seeds; and (iii) a weight-based approach for merging the rough saliency maps. Our solution is easy-to-understand and implement, but without loss of effectiveness. We have validated its competitiveness through widely used benchmark datasets.
Regulatory Options and Technical Challenges for the 5.9 GHz Spectrum: Survey and Analysis

In 1999, the Federal Communications Commission (FCC) allocated 75 MHz in the 5.9 GHz ITS Band (5850-5925 MHz) for use by Dedicated Short Range Communications (DSRC) to facilitate information transfer between equipped vehicles and roadside systems. This allocation for DSRC in the ITS band has been a co-primary allocation while the band is shared with the Fixed Satellite Service (FSS), fixed microwave service, amateur radio services and other Federal users authorized by the National Telecommunications and Information Administration (NTIA). In recent time, Cellular V2X (C-V2X), introduced in 3GPP Release 14 LTE standard, has received significant attention due to its perceived ability to deliver superior performance with respect to vehicular safety applications. There is a strong momentum in the industry for C-V2X to be considered as a viable alternative to DSRC and accordingly, to operate in the ITS spectrum. In another recent notice, the FCC is soliciting input for a proposed rulemaking to open up more bandwidth for unlicensed Wi-Fi devices, mainly based on the 802.11ac standard. The FCC plans to work with the Department of Transportation (DoT), and the automotive and communications industries to evaluate potential sharing techniques in the ITS band between DSRC and Wi-Fi devices. This paper analyzes the expected scenarios that might emerge from FCC and the National Highway Traffic Safety Administration (NHTSA) regulation options and identifies the technical challenge associated with each scenario. We also provide a literature survey and find that many of resulting technical challenges remain open research problems that need to be addressed. We conclude that the most challenging issue is related to the interoperability between DSRC and C-V2X in the 5.9 GHz band and the detection and avoidance of harmful adjacent and co-channel interference.
Towards Prioritizing Software Business Requirements in Startups

Well-structured IT enterprises follow structured approaches in developing business software solutions not neglecting that requirements engineering is the cornerstone in any software development. However, most startups carry out ad-hoc requirements engineering approaches and follow the concept of learning by failure after rushing into development. This is because their culture lacks the availability of structured approaches that fits with their dynamic environment and unpredictable business nature and changing market. In this paper, the authors aim at presenting a novel framework that assists in prioritizing requirements in structured manner targeted for the startup business software development. It helps creating a focused development environment without permitting the team to hold unreasonable responsibilities that may end with a product that does not address core domain needs and user satisfaction. This framework contributes in creating a mutual communication ground area between business people, product manag-ers/business analysts and technical team while prioritizing software requirements with respect to software core requirements, supplementary requirements, critical requirements to the process and frequency of use. A pilot evaluation is carried using a real startup case study in Jordan.
IoT Applications in Fog and Edge Computing: Where Are We and Where Are We Going?

In the past decade, cloud computing has shown its potential to provide powerful and reliable resources at the core of the network. Many applications can benefit from the wide range of cloud services. However, as applications in the Internet of Things become more common, the computing environment faces new requirements and challenges that cloud computing cannot meet. Fog and edge computing paradigms can fill this gap by moving computation from the core to the edge of the network. While multiple solutions for edge- centric networks have been proposed, there is still confusion about the terminology and classification of edge-centric architectures. In this paper, we summarize the current discussion about fog and edge computing systems. Further, we identify application areas of these systems in the Internet of Things.
New Design Methodology for Impact Angle Control Guidance for Various Missile and Target Motions

This brief introduces a new design methodology for impact angle control guidance (IACG) laws. The proposed methodology can extend any proven homing guidance laws to their impact angle control versions if the expressions of the estimated terminal flight path angles under those guidance laws are given. The time derivatives of the estimated terminal flight path angles are obtained as functions of the guidance commands. The IACG versions of the homing guidance laws are derived from those functions and the desired error dynamics of the estimated terminal flight path angle. The guidance law of each IACG version has two terms: the first term maintains the characteristics and capturability of the original guidance law and the second term drives the estimated terminal flight path angle to converge to the specified flight path angle. When a well-understood homing guidance law for a certain combination of target and missile models is given, an IACG law for that combination is easily derived without reformulating the guidance problem again. The usefulness of the proposed method is demonstrated by several examples, deriving new IACG laws for various target and missile models.
Motion Control of a Pair of Cylindrical Manipulators in a Constrained 3-Dimensional Workspace

In this paper we utilize the Lyapunov-based Control Scheme (LbCS) to solve the motion control problem of a pair of cylindrical manipulators working in a constrained 3-dimensional workspace. The end-effectors of each manipulator is required to move from initial to final positions whilst obeying all singularities and constraints associated with the system. We also consider fixed and moving obstacles in the workspace which the robots have to avoid at all times. The stability of the system is studied using the Direct Method of Lyapunov, where as computer simulations are used to verify the effectiveness of the proposed nonlinear control laws
Comparison of central corneal thickness measurements in corneal edema using ultrasound pachymetry, Visante anterior-segment optical coherence tomography, Cirrus optical coherence tomography, and Pentacam Scheimpflug camera tomography

Purpose To compare the central corneal thickness (CCT) measurements in subjects with corneal edema using ultrasound pachymetry, Visante anterior-segment optical coherence tomography (OCT), Cirrus OCT, and Pentacam Scheimpflug camera tomography. Methods This prospective cross-sectional study included 46 eyes of 33 patients with corneal edema and a CCT exceeding 550 μm evaluated by ultrasound pachymetry, Visante OCT, Cirrus OCT, and Pentacam. Two observers measured each eye twice. Intraobserver and interobserver reproducibility were determined and agreement among the devices calculated. Results CCT was measured in 40 eyes of 29 patients. Regardless of the CCT, the measurements obtained using Visante OCT, Cirrus CCT, and ultrasound pachymetry were well correlated. Interobserver and intraobserver reproducibility were high among the three devices. Pentacam overestimated the results compared with the other devices, and ultrasound pachymetry was unmeasurable in six (13%) eyes with very thick and opaque corneas. In eyes with mild corneal edema (CCT 551–650 μm), measurements from the four devices were comparable. Conclusion All devices reliably measured the CCT <650 μm. In eyes with edema exceeding 650 μm, CCT measurements from the Visante OCT, Cirrus OCT, and ultrasound pachymetry devices showed good reproducibility and were well correlated, while the Pentacam overestimated the values compared to the other devices. Pentacam and ultrasound pachymetry should not be used in eyes with extreme corneal edema and opacity.
A Real-Time Nonlinear Model Predictive Control Strategy for Stabilization of an Electric Vehicle at the Limits of Handling

In this paper, we propose a real-time nonlinear model predictive control (NMPC) strategy for stabilization of a vehicle near the limit of lateral acceleration using the rear axle electric torque vectoring configuration of an electric vehicle. A nonlinear four-wheel vehicle model that neglects the wheel dynamics is coupled with a nonlinear tire model to design three MPC strategies of different levels of complexity that are implementable online: one that uses a linearized version of the vehicle model and then solves the resulting quadratic program problem to compute the necessary longitudinal slips on the rear wheels, a second one that employs the real-time iteration scheme on the NMPC problem, and a third one that applies the primal dual interior point method on the NMPC problem instead until convergence. Then, a sliding mode slip controller is used to compute the necessary torques on the rear wheels based on the requested longitudinal slips. After analyzing the relative tradeoffs in performance and computational cost between the three MPC strategies by comparing them against the optimal solution in a series of simulation studies, we test the most promising solution in a high-fidelity environment.
Blood cytokine expression correlates with early multi-organ damage in a mouse model of moderate hypothermia with circulatory arrest using cardiopulmonary bypass

Cardiopulmonary bypass (CPB) with moderate hypothermic cardiac arrest (MHCA) is essential for prolonged complex procedures in cardiac surgery and is associated with postoperative complications. Although cytokine release provoked through MHCA under CPB plays a pivotal role in postoperative organ damage, the pathomechanisms are unclear. Here, we investigated the cytokine release pattern and histological organ damage after MHCA using a recently described mouse CPB model. Eight BALB/c mice underwent 60 minutes of circulatory arrest under CPB, were successively rewarmed and reperfused. Blood cytokine concentrations and liver and kidney function parameters were measured and histological changes to these organs were compared to control animals. Our results showed a marked increase in proinflammatory cytokines and histological changes in the kidney, lung, and liver after CPB. Furthermore, clinical chemistry showed signs of hemolysis and acute kidney injury. These results suggest early onset of solid organ injury which correlates with increased leukocyte infiltration. A better understanding of the interplay between pro-inflammatory cytokine activation and solid organ injury in this model of CBP with MHCA will inform strategies to reduce organ damage during cardiac surgeries in the clinic.
DAO2: Overcoming Overall Storage Overflow in Intermittently Connected Sensor Networks

Many emerging sensor network applications operate in challenging environments wherein sensor nodes do not always have connected paths to the base station. Data generated from such intermittently connected sensor networks therefore must be stored inside the network for some unpredictable period of time before uploading opportunities become available. Consequently, sensory data could overflow limited storage capacity available in the entire network, making discarding valuable data inevitable. To overcome such overall storage overflow in intermittently connected sensor networks, we propose and study a new algorithmic problem called data aggregation for overall storage overflow (DA02). Utilizing spatial data correlation that commonly exists among sensory data, DAO2 employs data aggregation techniques to reduce the overflow data size while minimizing the total energy consumption. To solve DAO2, we uncover a new graph theoretic problem called multiple traveling salesman walks (MTSW), and show that with proper graph transformation, the DAO2 is equivalent to the MTSW. We prove that MTSW is NP-hard and design a (2-1.)-approximation q algorithm, where q is the number of nodes to visit (i.e., the number of sensor nodes that aggregate their overflow data). The approximation algorithm is based on a novel routing structure called minimum q-edge forest that accurately captures information needed for energy-efficient data aggregation. We further put forward a heuristic algorithm and empirically show that it constantly outperforms the approximation algorithm by 15% −30% in energy consumption. Finally, we propose a distributed data aggregation algorithm that can achieve the same approximation ratio as the centralized algorithm under some condition, while incurring comparable energy consumption.
Distortion-characteristic estimation predistorter for high efficiency power amplifiers

Power amplifier (PA) is one of important components in wireless communication system. However, its non-linear and memory characteristic cause harmful distortion, which significantly decreases the power efficiency and wastes electronic energy since the power of PA needs back off. To overcome the non-linear and memory problems, a novel method based on distortion-characteristic estimation algorithm is developed in this study. The main innovation of this study is manifested in two aspects: first, the authors use well designed training signals to estimate the distortion characteristic of the PA; second, a novel PA characteristic estimation algorithm is developed in order to calculate the optimal state of the ideal predistorter that behaves like the inverse characteristic of PA theoretically. Since this novel method does not require the error between original signals and feedback signals, it can avoid the significant errors caused by the time mismatch between source signals and feedback signals, and can increase the power efficiency of the PA. The simulation results validate the performance increase and the synchronisation-error immunity over the existing simplified filter look up table method.
Dynamic, Latency-Optimal vNF Placement at the Network Edge

Future networks are expected to support low-latency, context-aware and user-specific services in a highly flexible and efficient manner. One approach to support emerging use cases such as, e.g., virtual reality and in-network image processing is to introduce virtualized network functions (vNF)s at the edge of the network, placed in close proximity to the end users to reduce end-to-end latency, time-to-response, and unnecessary utilisation in the core network. While placement of vNFs has been studied before, it has so far mostly focused on reducing the utilisation of server resources (i.e., minimising the number of servers required in the network to run a specific set of vNFs), and not taking network conditions into consideration such as, e.g., end-to-end latency, the constantly changing network dynamics, or user mobility patterns. In this paper, we formulate the Edge vNF placement problem to allocate vNFs to a distributed edge infrastructure, minimising end-to-end latency from all users to their associated vNFs. We present a way to dynamically re-schedule the optimal placement of vNFs based on temporal network-wide latency fluctuations using optimal stopping theory. We then evaluate our dynamic scheduler over a simulated nation-wide backbone network using real-world ISP latency characteristics. We show that our proposed dynamic placement scheduler minimises vNF migrations compared to other schedulers (e.g., periodic and always-on scheduling of a new placement), and offers Quality of Service guarantees by not exceeding a maximum number of latency violations that can be tolerated by certain applications.
Multitasking Filtration Network

In the paper a concept of creating a filtering network based on filtering sockets is presented. The basic parallel and serial structures was described. Shaping frequency response was achieved by minimizing the cost function using firefly algorithm. Replacing gain coefficient k and time constant T with gain function and time function reduced the duration of the transition processes. The results are presented and compared with the stationary counterpart.
5G Visualization: The METIS-II Project Approach

One of the main objectives of the METIS-II project was to enable 5G concepts to reach and convince a wide audience from technology experts to decision makers from non-ICT industries. To achieve this objective, it was necessary to provide easy-to-understand and insightful visualization of 5G. This paper presents the visualization platform developed in the METIS-II project as a joint work of researchers and artists, which is a 3D visualization tool that allows viewers to interact with 5G-enabled scenarios, while permitting simulation driven data to be intuitively evaluated. The platform is a game-based customizable tool that allows a rapid integration of new concepts, allows real-time interaction with remote 5G simulators, and provides a virtual reality-based immersive user experience. As a result, the METIS-II visualization platform has successfully contributed to the dissemination of 5G in different fora and its use will be continued after METIS-II.
Adaptive Grasping Using an Interphalangeal Flexion Angle Model and Particle Swarm Optimization

In power grasping, all the fingers and thumb are moved simultaneously towards the object centre to form a stable grip. The force imparted on the object while grasping is distributed among all the phalanges. The calculation of interphalangeal flexion angles is essential to ensure their contact with the object surface. For holding cylindrical and spherical shaped objects, the flexion angles follow inverse proportionality with the diameter of the object. In this study, we have proposed a mathematical model by establishing a relationship of the interphalangeal flexion angles with the object diameter to replicate this natural manoeuvre in a hand prosthesis. We have derived that the sum of tangents of all the 14 interphalangeal flexion angles involved in power grasps, depends only on the length of intermediate phalanx of all the fingers and the object diameter. This relation eliminated the requirement of other phalangeal lengths and thus reduced overall variable complexity. To automate the computation of interphalangeal flexion angles, here we have implemented particle swarm optimisation (PSO). The relationship of the joint angle variation with the object diameter is used here as the fitness function. The resulted flexion angles were further evaluated for their efficacy in a simulated hand grasping model. In contrast to the generic prosthetic hands, where the joints are sequentially rotated according to their constraints from the object surface, this model allows simultaneous rotation of the joint angles according to the optimum fitness function using PSO.
Molecular and Functional Profiles of Exosomes From HPV(+) and HPV(−) Head and Neck Cancer Cell Lines

Exosomes produced by tumor cells have been shown to reprogram functions of human immune cells. Molecular cargos of exosomes isolated from supernatants of HPV(+) and HPV(−) head and neck cancer (HNC) cell lines or from HNC patients' plasma were compared. The exosome protein profiles resembled those of respective parent tumor cells. Only HPV(+) exosomes carried E6/E7, p16, and survivin. HPV(−) exosomes were negative for cyclin D1 and carried low p53 levels. Immunomodulatory molecules (TGF-β, FasL, OX40, OX40L, and HSP70) were carried by HPV(+) and HPV(−) exosomes. These exosomes co-incubated with human T cells induced apoptosis and suppressed T cell activation and proliferation. HPV(−) exosomes suppressed DC maturation and expression of antigen processing machinery (APM) components. In contrast, HPV(+) exosomes promoted DC maturation and did not suppress expression of APM components in mature DCs. While DCs readily internalized exosomes, T lymphocytes resisted their uptake during the initial 12 h co-culture. Thus, HPV(+) exosomes capable of sustaining DC functions may play a key role in promoting anti-tumor immune responses thereby improving outcome in patients with HPV(+) cancers.
Discriminative Region based Two Stage System for Online Handwritten Character Recognition

This paper proposes a discriminative region based two-stage system for online handwritten Assamese character recognition. The first stage classifier employing hidden Markov model returns top-2 ranking classes. The second stage classifier based on support vector machine separates the top-2 ranking classes with better confidence. In literature, the second stage classifier is developed for each confusing character pair by considering the whole character pattern. Alternatively, in this work, the second stage classifier is designed considering the discriminative region (DR) of a confusing pair. It is to be noted that, a confusing pair share certain syntactic features and can introduce redundant information in the trained model. Therefore, by considering the features from DR, the separation can be enhanced. The proposed DR based two-stage system improves the recognition accuracy compared to the single stage and baseline two-stage system when evaluated on Assamese character database.