Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of user experience and usability dimensions for second screen applications: Results from an expert evaluation using generic task models

In this article we present a state of the art of current types of second screen approaches and a classification attempt based on the dimensions of users' perceived synchronization and perceived interactivity. Based on an analysis of twenty second screen apps available in France and Europe, we performed a general task analysis of second screen applications. Subsequently, an expert usability and user experience evaluation was performed by using paper prototypes, representing the general tasks identified in the task analysis when using second screen applications. Results show that presentation of information on two screens typically causes the user interface to be less efficient and effective, and that the higher the degree of interactivity, the less usable an UI is. In terms of user experience we have identified aesthetics, emotion, value/meaning and stimulation as well as social connectedness as key dimensions. Based on the general task analysis we present detailed results on which dimension of user experience is important for the different tasks and usage phases of second screen applications.
Broadband access speeds across the Northern Powerhouse: A comparative analysis of English cities

The UK economy is unbalanced, with the country's economic activity being dominated by London and the south-east of England. To address this imbalance, governments have initiated a series of initiatives aimed at creating a 'Northern Powerhouse' that will realise the north of England's economic potential. While the discussion around the realisation of the 'Northern Powerhouse' has highlighted the need for improved transportation infrastructure across the north of England, this has largely focused on rail or roads with little discussion of telecommunications. This paper seeks to overcome this surprising omission by focusing on the broadband speeds of Leeds and Newcastle, two cities located in the north of England. Using data from a variety of sources, our analysis demonstrates how broadband speeds vary within and between the two cities and are often worse than the UK average. Furthermore, our analysis of the relationship between affluence and broadband speeds in Newcastle reveals a complex picture that requires further investigation.
An Algorithm for Detecting Recommendation Attack Based on Incremental Learning

The existing supervised approaches suffer from the problem that detection model cannot update incrementally with the increase of user profiles. Aiming at this problem, we propose a recommendation attack detection algorithm based on incremental learning by introducing the rough set theory. Firstly, an algorithm for building a training set is proposed to choose the best label samples used to build a classifier. Secondly, newly labeled samples are used to train the classifier incrementally in order to make it more reasonable to cover attack profiles. Finally, the attack detection method based on statistical features is proposed to distinguish attack profiles from genuine user profiles. The experimental results on the MovieLens dataset show that the proposed algorithm can effectively improve the performance of attack detection.
A comparative experimental study on large size center and bi-directional offset spring-bed thrust bearing

The central support tilting thrust bearing is widely used in the motor-generator unit, and the central support tilting thrust bearing performs poorly compared with the offset bearing. In order to improve the performance of the thrust bearing capable of the bidirectional operation, a spring-supported switching tilting thrust bearing was designed, which could run under offset condition at both clockwise and counterclockwise. In order to verify the reliability of the bearing, we designed a true size thrust bearing test bench and measured the performance parameters of the temperature, pressure, oil film thickness, and power loss of the pad. This article introduces in detail the operation mechanism of the bidirectional offset spring-bed tilting thrust bearing. The bidirectional offset spring-bed tilting thrust bearing structure and the central support bearing structure were compared and tested. The test results of the performance difference of large tilting pad bearings with different structures were obtained. According to the experiment, the spring support structure has good adaptability, and the improved bidirectional offset support bearing not only has higher bearing capacity, but also has better performance in all aspects of temperature rise and loss than the central support bearing. The actual size experiment provides the experimental data for the theoretical calculation of large tilting pad bearings, providing a more accurate basis for the bearing performance and safety assessment.
Magnetization Dynamics in Coupled Thin Film Systems

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Ant colony algorithm as a high-performance method in resource estimation using LVA field; A case study: Choghart Iron ore deposit

Kriging is an advanced geostatistical procedure that generates an estimated surface or 3D model from a scattered set of points. This method can be used for estimating resources using a grid of sampled boreholes. However, conventional ordinary kriging (OK) is unable to take locally varying anisotropy (LVA) into account. A numerical approach has been presented that generates an LVA field by calculating the anisotropy parameters (direction and magnitude) in each cell of the estimation grid. After converting the shortest anisotropic distances to Euclidean distances in the grid, they can be used in variography and kriging equations (LVAOK). The ant colony optimization (ACO) algorithm is a nature-inspired metaheuristic method that is applied to extract image features. A program has been developed based on the application of ACO algorithm, in which the ants choose their paths based on the LVA parameters and act as a moving average window on a primary interpolated grid. If the initial parameters of the ACO algorithm are properly set, the ants would be able to simulate the mineralization paths along continuities. In this research work, Choghart iron ore deposit with 2,447 composite borehole samples was studied with LVA-kriging and ACO algorithm. The outputs were cross-validated with the 111,131 blast hole samples and the Jenson-Shannon (JS) criterion. The obtained results show that the ACO algorithm outperforms both LVAOK and OK (with a correlation coefficient value of 0.65 and a JS value of 0.025). Setting the parameters by trial-and-error is the main problem of the ACO algorithm.
A New Recommender System Using Context Clustering Based on Matrix Factorization Techniques

Recommender system can efficiently alleviate the information overload problem, but it has been trapped in the recommendation accuracy. We proposed a new recommender system which based on matrix factorization techniques. More factors including contextual information, user ratings and item feature are all taken into consideration. Meanwhile the k-modes algorithm is used to reduce the complexity of matrix operations and increase the relevance of the user-item ratings sub-matrix. Compared with several major existing recommendation approaches, extensive experimental evaluation on publicly available dataset demonstrates that our method enjoys improved recommendation accuracy.
The relationship between psychosocial predictors and employee readiness to change

Seventy percent of organizations experience failure in implementing organizational change (Miller & Peter, 2006). One of the reasons for this failure is the lack of careful assessment of an organization’s readiness to change, which depends much on the employees’ readiness to change. This study investigates predictors of employees’ readiness to change, namely, appropriateness of change, management support, change efficacy, individual spirituality, and openness to experience. The present study also examined the role of job satisfaction and organizational commitment in mediating between psychosocial predictors and employee readiness to change. A random sampling (n = 428) of a Higher Learning Institution in Malaysia consisting 214 academic staff and 214 non–academic staff participated in this study. Two–step Structural Equation Modelling was used to answer the research questions. Results of the measurement model indicated that all measurements used are valid. The structural model in the present study indicated that psychosocial factors including appropriateness, management support, change efficacy, individual spirituality, and openness to experience significantly predict employee readiness to change. Result shows that appropriateness of change, management support, change efficacy, and openness to experience are indirectly related with employee readiness to change via a mediating role of organizational commitment. This result indicated that employees who perceived the change to be appropriate show openness toward change and that perceived management support will not enhance their readiness to change unless they are committed to the organization. In addition, individual spirituality and change efficacy are directly related with employee readiness to change. This result shows that employees who have high spirituality and change efficacy will have higher readiness whether or not they are committed to the organization. Further analysis on the mediating role of job satisfaction cannot be performed due to an insignificant relationship between job satisfaction with employee readiness to change. Findings in this study can be used as a framework to enhance employee readiness to change.
IP Network Topology Link Prediction Based on Improved Local Information Similarity Algorithm

With the expansion of the IP network scale, the topology structure of IP network has also changing. Traditional network topology research methods by adapting tools of Ping or Traceroute were used to carry out the active end-to-end detection from the origin router nodes to destination router nodes. But sometimes, because some routers set the UDP/SNMP limitation, there are some router IP address could not be detected. In addition, AS operator can adopt router syslog configuration files to obtain link connection condition, but, these files have the update life-time, it is hard to obtain the information in real-time. So, we only obtained some incomplete topology information. Due to the IP network has some local information similarity, this article adopted the complex link prediction algorithm based on local information similarity algorithm and design a kind of improved method based on the IP network characters to realize the unknown links prediction. Through the experiment, the results expressed that, the prediction index of local information common neighbor algorithm index of AA, RA obtain the most good accuracy, and the improved Bayesian CN index combining the degree value index of AA can get more higher prediction accuracy about 0.97. This article confirmed the link prediction method based on local information similarity algorithm can be effectively applied in the IP network unknown link prediction.
Fidelity of Implementation in the Field of Learning Disabilities

Decades of research and billions of dollars have been spent to develop and evaluate evidence-based interventions and develop multitiered systems of support (MTSS) toward the goal of more effectively delivering interventions and improving student outcomes. Available evidence, however, suggests interventions are often adopted slowly and delivered with poor fidelity, resulting in uninspiring outcomes for students. The field of implementation science has emerged to address the science-to-practice gap in human service sectors (e.g., education) as a way of improving service recipient (e.g., student) outcomes. For the considerable investment in school-based intervention development and evaluation to have a significant public health impact for students, educators must integrate key findings from implementation science into their practice and research. Toward this end, the purpose of this article is four-fold. First, it overviews implementation science and implementation theories, models, and frameworks. Second, it discusses the relevance of implementation science and fidelity to both the systems-level implementation of MTSS and individual-level implementation of interventions to students with learning disability (LD). Third, it reviews the unique legal aspects related to service implementation for students with LD and the gap between state-level mandates and available science. Finally, it provides additional resources and recommendations for readers.
Computational Zone Adaptation Strategy for Unstructured Grid Users

This paper presents an advanced grid adaptation strategy to be used by unstructured grid users. The idea behind this strategy originates from the need for automatic control of computational grids during iterative procedures utilized by fluid flow solvers. This strategy eliminates unnecessary grid computations by dividing the unstructured grid into active and inactive zones automatically. The active zones are extended automatically in order to capture the propagation of disturbances in solution domain. In this work, we focus to solve the grid deformations which are imposed in some portions of the main body and are propagated into computational domain during the iterative solutions. To achieve this purpose, we introduce a new automatic mesh partitioning scheme. We apply this scheme over a new developed quasi-structured data structure. In this work, we extend a more flexible deformation algorithm using this partitioning scheme. It eliminates the need for sequential reordering of the unstructured grid in different mesh moving or deformation demands. We investigate the strategy for some popular types of mesh deformation problems over a multi-element airfoil. These problems are handled with considerably small convergence time by the new method respect to the conventional one.
Examination of similarity between English /r/, /l/, and Japanese flap: An investigation of best exemplars by English and Japanese speakers

Japanese adults have difficulty learning the Englis h /r/-/l/ contrast, and it has been suggested that th is occurs because /r/ and /l/ are similar to the Japanese / 3/ category. The present experiment evaluated this similarity by finding best exemplars of these three consonants in a 5-dimensional acoustic space (F1, F2, F3, closure duration, transition duration) for native speakers of Japanes e and English. The results demonstrated that / 3/ was similar to /l/, but not /r/, for Japanese listeners . However, the / 3/ and /l/ best exemplars of Japanese speakers were still significantly different (e.g., /3/ having a shorter closure than /l/), indicating that Japanese speakers maintained separate mental representations for these categories rather than using their L1 / 3/ for both consonants.
Rapidity evolution of observables at high energies using the Gaussian truncation

The quantum-chromo-dynamics of high-energy collisions is effectively described by the colour-glass-condensate. The degrees of freedom in this description are given by pathordered colour rotations called Wilson lines and their correlators. Their rapidity evolution is given by the JIMWLK equation, which leads to an infinite tower of differential equations. We present a gauge-invariant truncation of this hierarchy in the form of the Gaussian truncation and the machinery for computing the rapidity evolution for several observables with this truncation.
Thermal buckling analysis of SWBNNT on Winkler foundation by non local FSDT

In this work, the thermal buckling characteristics of zigzag single-walled boron nitride (SWBNNT) embedded in a one-parameter elastic medium modeled as Winkler-type foundation are investigated using a nonlocal first-order shear deformation theory (NFSDT). This model can take into account the small scale effect as well as the transverse shear deformation effects of nanotubes. A closed-form solution for nondimensional critical buckling temperature is obtained in this investigation. Further the effect of nonlocal parameter, Winkler elastic foundation modulus, the ratio of the length to the diameter, the transverse shear deformation and rotary inertia on the critical buckling temperature are being investigated and discussed. The results presented in this paper can provide useful guidance for the study and design of the next generation of nanodevices that make use of the thermal buckling properties of boron nitride nanotubes.
Chapter 5 Adaptive Supply Voltage Delivery

Minimizing the power consumption of battery-powered systems is a key focus in integrated circuit design. The increased importance of power is even more notable for a new class of energy-constrained systems. These systems must achieve long system lifetimes from a limited energy source, so the need to reduce energy consumption whenever possible is paramount. Dynamic voltage scaling (DVS) [1] is a popular method to achieve energy efficiency in systems that have widely variant performance demands. As VDD decreases, transistor drive currents decrease, bringing down the speed of operation of a circuit. A DVS system adjusts the supply voltage, operating the circuit at just enough voltage to meet performance, thereby achieving overall savings in total power consumed. Figure 5.1a plots the required rate of the system versus the normalized energy required to process one generic block of data. The most straightforward method for saving energy when the workload decreases is to operate at the maximum rate until all of the required processing is complete and then to shutdown. This approach only requires a single power supply voltage (corresponding to full rate operation), and it results in linear energy savings. A variable supply voltage with infinite allowable levels provides the optimum curve for reducing energy. The energy savings that can be obtained out of dithering the voltage supplies will be explained in Section 5.3. 1. While DVS is a popular method to minimize power consumption in digital circuits given a performance constraint, certain emerging applications like wireless micro-sensor networks [2, 3] and implantable medical electronics [4] are severely energy-constrained. For applications like implantable medical devices that are battery-operated, though the required speed of operation is low, the battery is expected to last till the lifetime of for Ultra-dynamic Voltage Scaled Systems
Improved Random Access Protocol for Cooperative Spectrum Sensing in Cognitive Radio Networks

Cooperative spectrum sensing is an important issue which determines the performance of a cognitive radio network. Our proposed work is to minimize the cooperative spectrum sensing time during a cognitive cycle. In our proposed protocol, individual sensing results of secondary nodes will be shared during signaling phase by using a random access method in which, we reduce the empty slot duration without affecting the performance of the system. Using simulation and analysis, it can be shown that our proposed protocol performs better than earlier proposed protocols.
Nitrogen and Phosphorus Budget for a Deep Tropical Reservoir of the Brazilian Savannah

This research investigated the source and fate of different chemical species of N and P on a deep tropical urban reservoir, the artificial Lake Paranoá, located in the city of Brasilia (Brazil). To determine an N and P budget, nutrient input from the external load (four main tributaries and two wastewater treatment plants), internal load (from sediment) and nutrient output (from a downstream dam) were estimated empirically. Nutrient storage was evaluated in two compartments: water column and sediment. Nutrient input from the tributaries varied by season presenting higher loads in the wet season, especially N. Nutrient budgets in our study indicated that Lake Paranoá retained dissolved inorganic nitrogen (DIN), PO43−-P, total organic phosphorus (TOP) and exported total organic nitrogen (TON), both on a seasonal and annual scale. Surface sediment is the major storage compartment for both N and P. These results show the pressing need for action to reduce the P outcome charges, mainly, from the wastewater treatment plants. The data here presented contributes to the recognition of this situation and to a better comprehension of these nutrient dynamics, as well as an understanding of the behavior of tropical deep-water reservoirs. This can help to promote more effective management, providing a reference for other similar systems.
An IPtel architecture based on the SIP protocol

More and better accesses to the Internet increase the interest in using it to carry not only data but also voice and video. The IP Telephony (IPTel) was born in this context and offers a framework to create multimedia communication systems. The Session Initiation Protocol, used in the IPTel architecture, is a protocol for signaling and call control between two or more participants. This paper presents telephony over IP service. Different protocols typically used in IPtel are analyzed and the architecture and functionality of SIP protocol are explained. Different mobility modes provided by SIP through the application layer are described. Finally we present the sIPtel, a Java application that supports real audio and video communications and uses the SIP protocol for call signaling.
On smart optimization of blazed soft X-ray gratings.

The first attempts to calculate the diffraction efficiencies of gratings in the soft X-ray range were made on a scalar model. The results were simple analytical equations, that always severely overestimated the performance of real objects. In this respect, computer programs were found to be more successful, which rigorously consider all diffracted and refracted waves. Consequently soft X-ray gratings are presently optimized using these tools, which requires rather extensive calculations for any instrument optimization as general trends are not immediately obvious. Here it will be shown that the results of the rigorous calculations for gratings with blaze or sawtooth profile can be approximated rather well with a simple analytical equation. This equation contains three multiplicative factors, which deal independently with the effect of the reflectivity, the blaze angle and the groove density. This opens the possibility to initially ignore the effects of the blaze angle and thus to start an optimization in a very general way. Such optimization can be based on isoreflectivity curves and it can then provide `blaze maximum efficiency maps', i.e. simple images. In these latter images, one can identify directly the optimum parameters for a grating, i.e. the groove density providing best efficiency for a requested spectral resolving power. Only successively will the blaze angle have to be fixed. Its choice is then not the result of an extensive optimization process but of a simple calculation applied for the photon energy at which maximum efficiency performance is requested. The maps presented here are used for the optimization of a medium-resolving-power soft X-ray monochromator, which can scan the photon energy range 300-2000 eV.