Miracle-dz/UniFAR-FTUs huggingface dataset:
First evaluations of a simulation architecture of the use of a IEEE 802.11 WLAN in industrial context

Today, the choice of a WLAN for industrial time-critical applications remains a risky strategy. The available medium access method version being DCF, sharing the medium is not always suitable for data traffic for industrial applications such as periodic exchanges. As the PCF version is almost never implemented in WLAN drivers, we propose a simulation architecture to evaluate a PCF emulation driven by the 802.11 network access points. The chosen approach is based on a platform able to simulate the position of mobile communicating entities, spread over at least two neighboring cells. This simulation part, played by several PCs, uses a real WLAN to communicate. With such a tool, we made evaluations to observe how data frames can be broadcast within a cell and the consequences of an application traffic added in the cell from an application server.
Inapproximability Results for Maximum Edge Biclique, Minimum Linear Arrangement, and Sparsest Cut

We consider the Minimum Linear Arrangement problem and the (Uniform) Sparsest Cut problem. So far, these two notorious NP-hard graph problems have resisted all attempts to prove inapproximability results. We show that they have no polynomial time approximation scheme, unless NP-complete problems can be solved in randomized subexponential time. Furthermore, we show that the same techniques can be used for the Maximum Edge Biclique problem, for which we obtain a hardness factor similar to previous results but under a more standard assumption.
Design Considerations for 5G Mobile Network

the advent of mobile technologies, communication is no longer a stationary element. In addition, with gradual sophistication of the technologies, the need for communication is no longer confined to voice only. Now, mobile communication encompasses voice, video and live streaming while the host is on the move. Various researches are going on to satisfy these needs to appreciable extent which can be taken farther to a satisfactory extent. Recently, 4G has been launched to address contemporary shortcomings of the mobile technology. To take the renovations steps ahead, the next phase of development will be commencing soon which is unofficially named as 5G. In this paper, we address some of the shortcomings still persisting in the current stage of networking and focus on some design considerations of 5G including High Altitude Platform, Femtocells, and Cognitive Radio.
The effect of facial expression and identity information on the processing of own and other race faces

The central aim of the current thesis was to examine how facial expression and racial identity information affect face processing involving different races, and this was addressed by studying several types of face processing tasks including face recognition, emotion perception/recognition, face perception and attention to faces. In particular, the effect of facial expression on the differential processing of own and other race faces (the so-called the own-race bias) was examined from two perspectives, examining the effect both at the level of perceptual expertise favouring the processing of own-race faces and in-group bias influencing face processing in terms of a self-enhancing dimension. Results from the face recognition study indicated a possible similarity between familiar/unfamiliar and own-race/other-race face processing. Studies on facial expression perception and memory showed that there was no indication of in-group bias in face perception and memory, although a common finding throughout was that different race faces were often associated with different types of facial expressions. The most consistent finding across all studies was that the effect of the own-race bias was more evident amongst European participants. Finally, results from the face attention study showed that there were no signs of preferential visual attention to own-race faces. The results from the current research provided further evidence to the growing body of knowledge regarding the effects of the own-race bias. Based on this knowledge, for future studies it is suggested that a better understanding of the mechanisms underlying the own-race bias would help advance this interesting and ever-evolving area of research further.
Her Own Boss: Gender and the Pursuit of Incompetent Play

This paper examines gender and computer game playing, in particular questions of identity, access and playful engagement with these technologies. Because computer-based media are not only central tools for learning and work, and because games and simulations are increasingly being recruited as educational and instructional genres, it is likewise exceedingly important, from an educational equity standpoint to examine the ways in which rapidly evolving computer gamebased learning initiatives threaten to compound and intensify girls’ computer disadvantage, a cumulative dis-entitlement from computer-based educational and occupational opportunities.
Lower Contribution of Factor V Leiden or G202104 Mutations to Ischemic Stroke in Patients With Clinical Risk Factors

It was suggested that factor V Leiden and prothrombin G20210A mutations increase the risk of ischemic stroke only in combination with clinical risk factors of arterial ischemic disease. In these studies the controls were derived from the general population, with fewer clinical risk factors, which might have produced biased results. The factor V Leiden and prothrombin G20210A mutations were examined by polymerase chain reaction technique in 120 ischemic stroke patients and 120 controls younger than 65 years of age. Each patient had his own control, tightly matched in clinical risk factors. The prevalences of factor V Leiden and prothrombin G20210A mutations in patients were 8.3% (P = 0.02) and 7.5% (P = 0.04), respectively, and 2.5% for controls for both mutations. All carriers were single heterozygotes. In patients, but not in controls, the carriers of either mutation were mostly women and with fewer clinical risk factors for arterial ischemic events. In particular, considering both mutations as a single coagulation deficit, their presence increased the likelihood of ischemic stroke (odds ratio [OR] = 3.6; 95% confidence interval [CI] 1.4—9.3), especially among women (OR = 4.6; 95% CI: 1.2—17.8), normotensive persons (OR = 9.2; 95% CI: 1.1—17.8) and those having normal cholesterol (OR = 5.9; 95% CI: 1.6—21.2) and triglyceride serum concentrations (OR = 4.3; 95% CI: 1.5—12.8). In the studied sample of adult North Mediterranean population younger than 65 years the prevalences of factor V Leiden and prothrombin G20210A mutations were greater in patients with ischemic stroke than in matched controls. Unlike in studies with unmatched controls, we observed an apparently negative interaction of these mutations with clinical risk factors.
Derivative-free distributed filtering for integrity monitoring of AGV navigation sensors

The paper proposes a new distributed filtering method, for integrity monitoring of navigation sensors in automatic ground vehicles (AGV). Unlike the Extended Information Filter (EIF), the proposed filter avoids approximation errors caused by the linearization of the AGV kinematic model and does not require the computation of Jacobians. The use of a statistical fault detection and isolation algorithm for processing the residuals generated by the proposed filtering method, can provide an indication about the condition of the navigation sensors and about failures that may have appeared. As an an application example the paper considers failure diagnosis for wheel encoders or IMU devices of an AGV.
The effect of target and non-target similarity on neural classification performance: a boost from confidence

Brain computer interaction (BCI) technologies have proven effective in utilizing single-trial classification algorithms to detect target images in rapid serial visualization presentation tasks. While many factors contribute to the accuracy of these algorithms, a critical aspect that is often overlooked concerns the feature similarity between target and non-target images. In most real-world environments there are likely to be many shared features between targets and non-targets resulting in similar neural activity between the two classes. It is unknown how current neural-based target classification algorithms perform when qualitatively similar target and non-target images are presented. This study address this question by comparing behavioral and neural classification performance across two conditions: first, when targets were the only infrequent stimulus presented amongst frequent background distracters; and second when targets were presented together with infrequent non-targets containing similar visual features to the targets. The resulting findings show that behavior is slower and less accurate when targets are presented together with similar non-targets; moreover, single-trial classification yielded high levels of misclassification when infrequent non-targets are included. Furthermore, we present an approach to mitigate the image misclassification. We use confidence measures to assess the quality of single-trial classification, and demonstrate that a system in which low confidence trials are reclassified through a secondary process can result in improved performance.
Using Psychometrics: A Practical Guide to Testing and Assessment

Illustrated with diagrams and case studies, this guide provides business managers with a practical appreciation of psychometric testing as an aid to staff selection and development. The book explains when and how to use the tests, and how to integrate them with other methods of assessment. It provides an understanding of the different types of tests available, and how to interpret their results. Along with information on the legal, regulatory and professional implications of using these tests, there is advice on the tests most appropriate for specific applications, such as aptitude, performance, personality, training and career development.
In Vitro Shoot Multiplication of Asparagus Densiflorus as Affected by Media, Sucrose and PH

A successful and reproducible clonal propagation pr otocol from nodes culture derived from Asparagus densiflorus wa s achieved in this investigation. The results showed that nodes of Asp aragus plant was cultured on the shoot regenerating medium, used modified MS medium full strength supplemented with 2mgl -1 BA with different concentrations of sucrose and pH levels for adventitious shoot regeneration. The res ults showed that MS medium full strength gave the highest percentage of explan t responded to shoot proliferation (100% ), number of shoots per explant , number of leaves per explant , mean length of shoots and the values were ( 24.625 shoot/explant, 39.125 leaves/ explant and 8.5cm) respectively. Al so the results revealed that the media supplement with 30 gm l sucrose showed the highest percentage of explant responded to shoot proliferation (100%). Th is sucrose concentration also showed the optimum result for number of shoots per explant, number of leaves per explant and average length of shoots ( 6 shoot/explant, 22.375 leave/ explant and 5.7125cm) respectively . Finally , the highest percentage of explant showing multiplication was observed on the media adjusted to pH 5.5 and 6.0. The results presented here proved to be su itable for the in vitro shoot multiplication of Asparagus densiflorus.
Learning Object Detection using Multiple Neural Networks

Multiple neural network systems have become popular techniques for tackling complex tasks, often giving improved performance compared to a single network. In this study we propose an innovative detection algorithm in image analysis using a multiple neural network approach where many neural networks are jointly used to solve the object detection problem. We use a group of networks configured with different parameters and features, then combines them in order to obtain new networks. The topology of the set of neural networks is statically configured as a tree where the root node produces in output the detection map. This work represents a preliminary study through which we want to move from detection to segmentation and recognition of objects of interest. We have compared our model with other detection algorithms using a standard dataset and the results are encouraging. The results highlight the advantages and problems that will guide the evolution of
A Novel Graph-Based Topology Control Cooperative Algorithm for Maximizing Throughput of Disaster Recovery Networks

Deployment of portable access points (APs) in disaster affected areas has been heralded by many contemporary researchers as a key technique to formulate disaster recovery networks. However, existing research works do not effectively address one of its key problems, i.e., the low capacity of the backbone network (constructed by the APs) which is unable to satisfy the high user demands emanating from the users in the local network of each AP. We consider cooperative communications to be a promising candidate to alleviate this problem, and formulate the trade-off relationship between the gained throughput and the network complexity. Also, we propose a novel graph-based topology control algorithm to solve the problem by exploiting cooperative communications to increase the inter-AP throughput gain. We first model the network by using a logical graph, where any two nodes are connected by a logical link if they are within the transmission range of each other. After that, k best paths, in terms of throughput gain, via mobile terminals, are found to connect any pair of APs. The constructed topology based on the resulted paths is used for cooperative communications. An in-depth analysis of the effect of the value of k on the network complexity and throughput gain is presented. Also, by introducing cooperative throughput gain speed as the utility of our proposal, we prove that there is an optimal value of k that maximizes the utility. Furthermore, extensive simulations are conducted to validate the analytical findings and demonstrate the effectiveness of our proposal.
We Came Here to Remember: Using Participatory Sensory Ethnography to Explore Memory as Emplaced, Embodied Practice

Memory can be seen as an emplaced phenomenon rather than as an internal, psychological archive. Approaches relating to cognition and memory as practice, seeing cognition as an extended, distributed phenomenon, will be considered in theoretical and empirical contexts in this article. Theoretical approaches to emplaced, embodied memory will be explored in the context of my sensory ethnographic research on place perception. I curated a series of sensory ethnographic engagements to explore how three international students from Tunisia, Indonesia, and Germany used emplaced knowledge and memories of their city and of their previous homes. Using a participatory sensory ethnography, involving walking interviews, my collaborators devised unique memorial responses to evoke their new and previous places of residence. The collaborations presented here illustrate the embodied, emplaced nature of memory. The use of sensory ethnography has enabled me to construct memory as an emplaced, embodied, multisensory phenomenon, rather than an internal archive.
Are Spatial Visualization Abilities Relevant to Virtual Reality

This study aims to investigate the effects of virtual reality (VR)-based learning environment on learners of different spatial visualization abilities. The findings of the aptitude-bytreatment interaction study have shown that learners benefit most from the Guided VR mode, irrespective of their spatial visualization abilities. This indicates that the VR-based learning environment is able to serve as a promising medium to accommodate individual differences in terms of this aptitude.
Implicit Theories of Ability: Teacher Constructs and Classroom Consequences

In this paper it will be argued that teacher constructs of ability play a particularly significant role in teacher judgements of children’s achievements and potential and consequently on children’s learning experiences. In particular, consideration is given to the implicit (personal) theories of ability which individuals draw upon to inform their thinking, beliefs and attitudes within contrasting school contexts. Drawing on a broader study containing multiple perspectives in four case study schools, emphasis is placed on teacher constructs. Findings focus on the nature of teacher definitions and the expectations they have of pupils.
Addressing the system-on-a-chip interconnect woes through communication-based design

Communication-based design represents a formal approach to system-on-a-chip design that considers communication between components as important as the computations they perform. Our "network-on-chip" approach partitions the communication into layers to maximize reuse and provide a programmer with an abstraction of the underlying communication framework. This layered approach is cast in the structure advocated by the OSI Reference Model and is demonstrated with a reconfigurable DSP example. The Metropolis methodology of deriving layers through a sequence of adaptation steps between incompatible behaviors is illustrated through the Intercom design example. In another approach, MESCAL provides a designer with tools for a correct-by-construction protocol stack.
From referral to discharge: Young people and parents’ experience of a systemic paediatric psychology service

Objectives: The paediatric and adolescent clinical psychology service at the University College London Hospital provides age-appropriate services to young people up to 19 years of age under the care of a hospital consultant. This short report describes how young people and parents experience what we provide as a systemic paediatric psychology team from referral to discharge. Method: A semi-structured questionnaire was designed to gather service user perspectives on the systemic clinical psychology service. The questionnaire included open and closed questions to generate qualitative and quantitative data about the different stages of the treatment process. Results: A total of 44/79 families discharged in the previous year were contacted by phone. The majority of young people and parents were happy being called to discuss the referral before being offered an appointment and liked the way in which the psychologist worked with the family. The majority of young people and parents reported their situation had improved as a result of the work offered by the psychology team. Negative aspects of the experience reflected the realities of service driven constraints including having to travel a long distance for the appointment, lack of rooms and having to be discharged at 19 years of age. Conclusion: Service user feedback is imperative to providing a high standard of care. This study highlighted positive experiences of a systemic service and indicated areas for future improvement that we are attempting to address
A review: FPGA based word matching stage of BLASTN

Molecular Biologists use Basic Local Alignment Search Tool (BLAST) as one of the most popular sequences analysis tool. BLAST is a design used to efficiently find similar regions between the two sequences that have biological significance. As the size of genome sequences is increasing rapidly, the computation time of BLAST is continuously increasing to perform a complete genomic database search. Hence there is a need to accelerate this search process. In this paper, a new approach is proposed to scan the genomic sequence databases of Deoxyribonucleic Acid (DNA) using field programmable gate array (FPGA) based hardware. To accelerate the word matching stage of BLASTN, specifically designed for DNA sequences, and to derive its efficient architecture, a reconfigurable architecture is proposed.
Assessing the effects of satisfaction and value on customer loyalty behaviors in service environments: High-speed railway in Turkey as a case study

– The primary purpose of this paper is to determine the relative effects of perceived value and customer satisfaction on customer loyalty behaviors. The secondary aim focuses on addressing whether such personal characteristics as gender, age and levels of income and education exert any moderating influence over perceived value/customer satisfaction such that loyalty behaviors, including repurchase intention (RPI), word-of-mouth (WOM) marketing and willingness to pay more (WPM), are ultimately affected. , – The research technique used a face-to-face questionnaire for collecting data from passengers who use the State Railways of the Turkish Republic. A total of 780 questionnaires were collected and used in this study after excluding 80 incomplete forms. First, the main effects of perceived value/customer satisfaction on customer loyalty behaviors were tested using structural equation modeling. Next, customers' personal characteristics, considered as moderating variables, including age, gender and levels of income and education, were examined to determine if their impact on perceived value/customer satisfaction would, in turn, have any effect on loyalty behaviors. To do this, a multigroup moderation test was used. , – The empirical findings of this study show that both customer satisfaction and perceived value directly influence the loyalty behaviors of Turkish railway passengers. However, customer satisfaction was found to be a more important predictor of RPI than perceived service value. However, the relationship between perceived service value and WPM was strong. The association between customer satisfaction and loyalty behaviors was stronger for females, youths and those customers at the lower range of income and education. On the other hand, the association between perceived value and loyalty behaviors was stronger for older passengers with more education and income, irrespective of gender. , – The first goal was to assess the main effects of perceived value/customer satisfaction on customer loyalty behaviors. It was found that perceived value/customer satisfaction affected loyalty behaviors, including RPI, WOM and WPM, in different ways. For instance, while customer satisfaction was suggested to be an important predictor of RPI, perceived value was an important predictor of WPM. Importantly, this study also examines how customers' personal characteristics, i.e. moderating variables in this study, impact perceived value/customer satisfaction such that loyalty behaviors are demonstrably changed. Thus, with this additional knowledge of customers' personal characteristics in the context of loyalty behaviors, marketers can create new strategies to develop long-term brand loyalty.
Stability analysis of decentralized adaptive backstepping control systems with actuator failures

In this paper, we analyze the stability of a class of interconnected systems with subsystem unmodeled dynamics and dynamic interactions employing decentralized adaptive controllers designed in [Wen, C. , et al.] in the presence of actuator failures. It will be shown that the global stability of rest closed-loop system can still be achieved and the outputs can be regulated to zeros when some subsystems break down.
Declassification of Rodents Exposed to Third-Generation HIV-Based Vectors into Class 1 Animals

According to national and international regulations, experiments involving large amount of HIV-1 are generally restricted to infrastructures with a Biosafety Level 3 (BSL-3) status. However, work with genetically modified viral vectors such as the replication-defective lentiviral vectors developed by Trono & colleagues (Zufferey, 1997) is usually performed in a Biosafety Level 2 (BSL-2) containment, unless the inserted gene sequence belongs to a higher risk group. According to current safety procedures, animals exposed to recombinant vectors are classified in the same risk group as the vectors. This paper evaluates the risk of shedding of replication competent recombinant lentiviral particles by rodents infected with the third-generation lentiviral vector system and reconsiders the containment level of those animals.