Miracle-dz/UniFAR-FTUs huggingface dataset:
Identity: personal AND social

Identity refers to how people answer the question, “Who are you? ” This question may be posed explicitly or implicitly, at a personal or a collective level, to others or to oneself. Schools of thought within the identity literature tend to emphasize either personal or social contents and either personal or social processes. However, I argue here that identities are inescapably both personal and social, in their content and in the processes by which they are formed, maintained, and changed over time. The personal and social nature of identity gives the construct its greatest theoretical potential—namely to provide insight into the relationship between the individual and society. However, doing justice to this potential requires integrating perspectives on identity and self-processes from social and personality psychology, developmental psychology, cultural, critical and discursive psychology, and beyond. In this chapter, I outline some key parameters for such an integrative understanding of identity. I examine the extensive and interconnected nature of identity content, and then consider the confluence of sociocultural, relational and individual processes by which identities are formed, maintained, and change over time.
Selection of Digital Controller for Power System and Power Electronics Applications

Power converters exhibiting higher efficiency, faster response and better control is need of the day. Sophisticated control algorithms are required for the implementation of these converters. This has increased the use of digital controllers in power system and power electronics applications. Selection of a digital controller for power control application is a challenge as there are variety of architectures, specifications, development platforms and design requirements. A right selection is possible only if the application requirements and digital controller capabilities are exactly known. This paper is an attempt to discuss the different aspects of digital controller required for power applications. In initial part of the paper, review of various power system and power electronics applications requiring the digital controller has been taken while the later part of the paper discusses about digital controller specifications to be considered.
A short discussion of interprocess communication in the sue/360/370 operating system

This paper presents the interprocess communication/synchronization scheme used in the SUE operating system. This scheme is based on a tree structure of processes which are called “facilities” and three primitive operations: Facility Call, Accept Facility Call, and Complete Facility Call. These primitives are implemented by a small “Kernel” which is the basis of the operating system.
On α-representation of Type-2 fuzzy sets

This paper presents a representation of Type-2 fuzzy sets based on α-cuts and α-planes. Both representations can be used in different problems without loss of generality, so we show a complementary way to combine both of them in order to make computation of fuzzy functions easier. Some concluding remarks and recommendations are given for real applications.
Level-of-Detail Volume Rendering via 3D Textures

In this paper we present an adaptive approach to volume rendering via 3D textures at arbitrary levels of detail. The algorithm has been designed to enable interactive exploration of large-scale data sets while providing user-adjustable resolution levels. A texture map hierarchy is constructed in a way that minimizes the amount of texture memory with respect to the power-of-two restriction imposed by OpenGL implementations. In addition, our hierarchical level-of-detail representation guarantees consistent interpolation between different resolution levels. Special attention has been paid to the fixing of rendering artifacts that are introduced by non-corrected opacities at level transitions. By adapting the sample slice distance with regard to the desired level-of-detail, the number of texture lookups is reduced significantly.
Tree based heuristic algorithms for maximizing network lifetime: A review

Maximizing the network lifetime in wireless sensor networks using minimum spanning tree proves to be efficient in case of mobile sink. Sensor nodes route their data to root nodes through intermediate nodes. In Power Efficient Data Gathering and Aggregation lifetime is improved by taking minimum weight edge from root to leaf nodes while Energy conserving routing tree algorithm maximizes the life span of network. Local optimization algorithm enhances the lifetime of the network. Various balanced trees are used to diversify load of routing to nodes. Although balanced tree implementation is difficult but lifetime of network increases considerably. The various tree formation techniques are compared based on complexity of tree formation and underlying main ideas. All algorithms work on approximations as complete implementation is NP-complete.
Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery

An important approach for unsupervised landcover classification in remote sensing images is the clustering of pixels in the spectral domain into several fuzzy partitions. In this paper, a multiobjective optimization algorithm is utilized to tackle the problem of fuzzy partitioning where a number of fuzzy cluster validity indexes are simultaneously optimized. The resultant set of near-Pareto-optimal solutions contains a number of nondominated solutions, which the user can judge relatively and pick up the most promising one according to the problem requirements. Real-coded encoding of the cluster centers is used for this purpose. Results demonstrating the effectiveness of the proposed technique are provided for numeric remote sensing data described in terms of feature vectors. Different landcover regions in remote sensing imagery have also been classified using the proposed technique to establish its efficiency
The equivalence between principal components analysis of head-related transfer functions in the time domain and frequency domain

PCA (principal components analysis) is a common way to analyze and reduce HRTFs (head-related transfer functions) data. Both PCA of HRTFs in the frequency domain and PCA of HRIRs (head-related impulse responses) in the time domain are frequently used. This paper proves that PCA of HRIRs in the time domain and PCA of HRTFs in the frequency domain are mathematically equivalent. Therefore, it implies that the possibility is very rare to obtain any new results from PCA of HRIRs in the time domain which can not be obtained from PCA of HRTFs in the frequency domain, vice versa.
On the Consequences of the Us Withdrawal from the Kyoto/Bonn Protocol

The US decision not to ratify the Kyoto Protocol and the recent outcomes of the Bonn and Marrakech Conferences of the Parties has important implications for both the effectiveness and the efficiency of future climate policies. Among these implications, those related with technical change and with the functioning of the international market for carbon emissions are particularly relevant, because these variables have the largest impact on the overall abatement cost to be born by Annex B countries in the short and in the long run. This Paper analyses the consequences of the US decision to withdraw from the Kyoto/Bonn Protocol both on technological innovation and on the price of emission permits (and, as a consequence, on abatement costs). A first goal is to assess the impact of the US defection on the price of permits and compliance costs when technological innovation and diffusion is taken into account (the model embodies international technological spillovers). A second goal is to understand for what reasons in the presence of endogenous and induced technical change the reduction of the price of permits is lower than in most empirical analyses recently circulated. A third goal is to assess the role of Russia in climate negotiations, its increased bargaining power and its eventual incentives to follow the US defections.
Content Quality Assessment through Context-Free Linguistic Features: Application to Community-Based Question Answering Platforms

Popular information systems such as community-based question answering sites (CQAs) and electronic networks of practice (ENPs) rely on accurate assessment of user contributed contents to ensure effective knowledge creation and exchange. We study the issue of content quality assessment through a context-free linguistic analysis, and hypothesize that, based on psycholinguistic theories and the politeness theory, the use of pronouns and other function words is correlated with the content’s perceived quality, moderated by the specific quality measure adopted. We empirically test our hypotheses through a random coefficient logit model and a fixed-effect negative binomial model with data obtained from StackExchange, a popular CQA platform, and the results are largely consistent with our hypotheses. Besides demonstrating how linguistic analyses can be used in content quality assessment, our analysis also uncovers potential limitations posed by an overreliance on subjective quality measures. This study contributes to the literature in knowledge management and strategic communication.
Design and control of a soft actuator driven by pneumatic muscles

To permit the growth of robotic systems into new applications, e.g. rehabilitation, wearable (exoskeleton) and domestic/service robots, new actuators that can safely interact with humans and environments are greatly required. This paper designs a pneumatically powered actuator that has intrinsic compliance, and is able to extend and bend. A discretization method is utilized to model the continuum shape of the actuator. The control strategy for such actuator are then presented to relate the actuator posture (including position and orientation) to its control inputs, i.e. supply pressures for the pneumatic muscles. Simulations and experiments were finally carried out to validate the model and prototype where good agreement was found between the two.
Block expectation propagation equalization for ISI channels

Actual communications systems use high-order modulations and channels with memory. However, as the memory of the channels and the order of the constellations grow, optimal equalization such as BCJR algorithm is computationally intractable, as their complexity increases exponentially with the number of taps and size of modulation. In this paper, we propose a novel low-complexity hard and soft output equalizer based on the Expectation Propagation (EP) algorithm that provides high-accuracy posterior probability estimations at the input of the channel decoder with similar computational complexity than the linear MMSE. We experimentally show that this quasi-optimal solution outperforms classical solutions reducing the bit error probability with low complexity when LDPC channel decoding is used, avoiding the curse of dimensionality with channel memory and constellation size.
Teaching Oral Communication Techniques in RE by Student-Student Role Play: Initial Experiences

In the early phases of software development, such as problem analysis and requirements engineering, oral communication techniques play a central part. In many university education programmes, however, such oral communication techniques are often addressed only superficially. Part of the reason may be that they are costly to teach and assess in a more elaborate way, while written assignments are much more easily administered to a large class. In the graduate course TDT4250 Modeling of Information Systems at the NTNU, we attempted to address oral communication skills by delegating to the students to role-play both as analysts and customers, and to have them peer-assess each other's analyst performances. The learning intervention received encouraging ratings from the students in a post-task survey, indicating several interesting observations as well as ideas for further improvement
LDAP Directory Template Model on Multi-master Replication

LDAP Multi-Master Technique is a replication approach using Syncrepl to replicate data to multiple servers. As the specialized database optimized for read access, the directory is used to represent heterogeneous entities in directory information tree (DIT). Compared with existing Sync replication models, the directory template replication model based on query templates proposed in this paper only replicates the entries matching the template specification. Replicated templates can reduce the complexity of the query containment problem and generalize the user queries corresponding to semantic regions demonstrating locality of reference. The synchronization protocol, which uses standard means of extending LDAP, is used to support (N-way) Multi-Master server replication modes. In this case, masters can be located in several physical sites, and other masters will continue the database if one master fails. Finally, we demonstrate the advantages of the novel model considering higher hit rates and the large update traffic with an experimental study based on real data and a prototype implementation of the LDAP directory cache.
Facebook overuse and addiction among Turkish adolescents: are ADHD and ADHD-related problems risk factors?

ABSTRACT OBJECTIVE: In the last decade, using social network sites (SNSs) has grown and become an integral part of daily routine for adolescents. As known, ADHD is a major public health problem for all addiction types, including the Internet and SNSs addiction. Our aim was to examine the effect of ADHD, impulsivity types, using motivations, internalizing and externalizing symptoms on Facebook (FB) overuse and FB addiction among adolescents. METHODS: Participants were recruited from ADHD and non-ADHD adolescents who were applied to the child and adolescent psychiatry and have an active FB account. We used FB Use and Motivations Form, the Barratt Impulsiveness Scale (BIS), Bergen FB Addiction Scale (BFAS) and Conners-Wells’ Adolescent Self-Report Scale-Long form (CASS:L). RESULTS: Our results indicated that ADHD adolescents have more fake FB accounts, have their own accounts for longer time, are using FB for more motivation types and FB overuse is more frequent than in non-ADHD counterparts. According to the degree of FB use, we have shown that adolescents with FB overuse behaviour have more externalizing symptoms and have higher CASS:L and Barrat impulsivity scores than others. Risk factors for FB overuse are: having a fake FB account and having higher ADHD index scores; risk factors for FB addiction are: higher attentional impulsivity, higher conduct problems scores and higher ADHD index scores. CONCLUSIONS: The results of this study have improved our understanding about the risk factors of a new behavioural addiction type among adolescents.
Revisiting the Corticomotor Plasticity in Low Back Pain: Challenges and Perspectives

Chronic low back pain (CLBP) is a recurrent debilitating condition that costs billions to society. Refractoriness to conventional treatment, lack of improvement, and associated movement disorders could be related to the extensive brain plasticity present in this condition, especially in the sensorimotor cortices. This narrative review on corticomotor plasticity in CLBP will try to delineate how interventions such as training and neuromodulation can improve the condition. The review recommends subgrouping classification in CLBP owing to brain plasticity markers with a view of better understanding and treating this complex condition.
Rectangular microstrip patch antenna parameters calculations using parallel Particle Swarm Optimization technique

Particle Swarm Optimization (PSO) is used to solve many engineering optimization problems. Parallel Particle Swarm Optimization (PPSO) is suitable for computationally demanding optimization problems. But it is yet to be applied in the parameters calculations of microstrip patch antenna. In this paper, a Parallel Particle Swarm Optimization technique in conjunction with the developed standard equation is applied to calculate accurate the resonant frequency of rectangular microstrip patch antenna of any dimension and of any substrate thickness. The results of PPSO are better than PSO and more close to experimental values. The technique developed in this paper seems to be a generalized soft computing tool to calculate parameters of microstrip antenna such as resonant frequency.
Improving the Students' Reading Skill Through Translation Method

The aims of this research are to find out how the implementation of translation can improve the students’ reading skill and how the students’ responses to the use of translation method in the teaching and learning process. This research is a classroom action research. The participant is 39 students. The research instrument used is in the form of observation checklist, test, and questioners. The finding of the research shows that the implementation of translation improves the students’ reading skill in the teaching process and the test result. The result of evaluation which carried out in end of the cycle I obtained that the lowest score is 40 and the highest score is 82 then the average score is 58.1, cycle II gets the lowest score is 50 and the highest score is 85 then the average score is 60,9, and cycle III get the lowest score is 60 and the highest score is 85 and the average score is 65.8. Therefore, it can be concluded that the translation method can improve the students’ reading skill of grade VII D of MTs. Muhammadiyah Yogyakarta and the students’ responses are positive when the teacher applied translation method in teaching and learning process.
A Rigid Structure Matching-Based Noise Data Processing Approach for Human Motion Capture

A noise data processing algorithm based on rigid structure matching for human motion capture (MoCap) is presented in this paper. The noise model is related to parts of human body, but not to trajectories of markers as most used in traditional approaches. Three issues are addressed in this method: rigid structure matching, semantic restriction and noise reduction, and they are three steps of data processing. First, human body is divided into seven main parts: head, chest, waist, hands and legs, and all parts' candidate parts are generated by algorithm of rigid structure matching from motion data. Missing markers can be automatically reconstructed by existing markers on a same rigid structure. Subsequently, one group of parts with most possibility is determined as initial processed data by semantic restriction. Finally, an impulse noise model is found based on the analysis of data, and the noise has been filtered. At the end, the main conclusions of this research are drawn, and the advantages and limitations of this approach are discussed respectively. The algorithm presented can be easily implemented and performed, and the processed motion data can be expediently used in human body animation. The efficiency of the method is illustrated by the experiments.
Non-linear feature extaction by the coordination of mixture models

A telescoping handle and liquid pressure conduit concentrically positioned inside the handle, with a liquid seal holder affixed to an outer part of the pressure conduit, and a resilient sealing member in the seal holder to sealingly engage against an inner part of the pressure conduit, so as to permit simultaneous telescoping of the outer handle and the inner pressure conduit.
Low density spreading for multicarrier systems

Low density spreading (LDS) for multicarrier (MC) systems has been proposed to exploit the trade-off between the receiver complexity and performance improvement. Due to the LSD, the diversity gain from the frequency domain can be achieved by the maximum-likelihood (ML) detector. The structured LDS allows the use of the Viterbi algorithm (VA) to implement the ML detection computationally efficiently. It is also shown that the LSD-MC can perform better than orthogonal frequency division multiplexing (OFDM) for coded signals.
Shifting Seives and Decision iViaî ing : The Effects of Seif-Construai Priming on Consumer Risk-Taking

This research illustrates how risk domain moderates the effects of priming the interdependent self versus the independent self on consumers' risk-taking. Experiment 1 showed that individuals whose interdependent selves were activated were more risk-seeking in their financial choices and less risk-seeking in their social choices than were those whose independent selves were activated. The size of the consumer's social network mediated these effects. Experiment 2 replicated these results using audiovisual movie clips as manipulations.
An anycast routing algorithm based on simplified particle swarm optimization and diversity strategy

To solve anycast routing problem with multiple QoS constraints, a improved anycast routing algorithm based on simplified particle swarm optimization algorithm and diversity strategy is presented. Firstly, the algorithm simplified the complexity of standard PSO algorithm and improved the convergence velocity extraordinarily by dynamically changing the inertia weight. Then, a mutation operator and diversity strategy was employed to maintain particle's diversity and balance global and local search effectively. Finally, the validity and efficiency of the presented algorithm are demonstrated by network experiment. The experimental results show that proposed algorithm can better express the advantages of particle swarm optimization algorithm, and can meet the needs of anycast routing with multiple QoS at same time. It has faster convergence speed and can escape from local optimum.
Evaluation of a Modification of the Zak-Kiliani Reaction for Determination of Serum Cholesterol

LITERATURE is replete with references to the determination of serum cholesterol and its esters. This can probably be attributed to 2 hnain reasons : the difficulty in chemically determining this sterol in serum with any degree of specificity, and the present intense interest in the relationship of cholesterol to atherosclerosis. Several excellent reviews of cholesterol and methods for its determination have been published (1-3). The Kiliani reaction (4) involves ferric chloride with acetic acid, sulfuric acid, and tile sterol, resulting in a purple chromogen. We address ourselves in this report to a modification of the Zak (5) and the Zak et al. (6) procedures, which employ the Kilialli reaction (4). Our aim is to provide a practical procedure with tile various conditions of the reaction systematically studied aIld the interferences scrupulously eliminated, without detracting from tile essential simplicity of the technic.
Life-Course Analysis of a Fat Mass and Obesity-Associated (FTO) Gene Variant and Body Mass Index in the Northern Finland Birth Cohort 1966 Using Structural Equation Modeling

The association between variation in the fat mass and obesity-associated (FTO) gene and adulthood body mass index (BMI; weight (kg)/height (m)2) is well-replicated. More thorough analyses utilizing phenotypic data over the life course may deepen our understanding of the development of BMI and thus help in the prevention of obesity. The authors used a structural equation modeling approach to explore the network of variables associated with BMI from the prenatal period to age 31 years (1965–1997) in 4,435 subjects from the Northern Finland Birth Cohort 1966. The use of structural equation modeling permitted the easy inclusion of variables with missing values in the analyses without separate imputation steps, as well as differentiation between direct and indirect effects. There was an association between the FTO single nucleotide polymorphism rs9939609 and BMI at age 31 years that persisted after controlling for several relevant factors during the life course. The total effect of the FTO variant on adult BMI was mostly composed of the direct effect, but a notable part was also arising indirectly via its effects on earlier BMI development. In addition to well-established genetic determinants, many life-course factors such as physical activity, in spite of not showing mediation or interaction, had a strong independent effect on BMI.