Miracle-dz/UniFAR-FTUs huggingface dataset:
THE MEDIATING ROLE OF PSYCHOLOGICAL OWNERSHIP ON THE RELATIONSHIP BETWEEN INTERNAL LOCUS OF CONTROL AND ORGANIZATIONAL COMMITMENT

Psychological ownership reflects an individual’s awareness, thoughts, and beliefs regarding the target of ownership (Avey et al, 2009). Locus of control defined as the general belief that individual’s successes, failures and outcomes are controlled by individual’s actions and behaviors (internal); or perhaps, people’s achievements, failures and outcomes are controlled by other forces like chance, luck and fate (external) (Rotter, 1966). Individuals with high internal locus of control experience higher levels of psychological ownership. Organizational commitment can be defined as a strong belief in and acceptance of an organization’s goals and values, a willingness to exert considerable effort on behalf of the organization, and a strong desire to maintain membership in the organization (Allen and Meyer, 1990). Scholars examined the link between psychological ownership of the organization and positive employee attitudes as organizational commitment. The purpose of this study is to examine the mediating role of psychological ownership on the relationship between internal locus of control and organizational commitment. Allen and Meyer’s (1990) organizational commitment scale, Rotter’s (1966) locus of control scale and Avey and his colleagues’ (2009) psychological ownership scale were used to collect data for the study. The findings of this study is valuable from many aspects that psychological ownership is a new area in organizational behavior literature and this study indicates antecedent’s and consequence’s of psychological ownership in information technology sector.
Telomere resolution in the Lyme disease spirochete

The genus Borrelia includes the causative agents of Lyme disease and relapsing fever. An unusual feature of these bacteria is a genome that includes linear DNA molecules with covalently closed hairpin ends referred to as telomeres. We have investigated the mechanism by which the hairpin telomeres are processed during replication. A synthetic 140 bp sequence having the predicted structure of a replicated telomere was shown to function as a viable substrate for telomere resolution in vivo, and was sufficient to convert a circular replicon to a linear form. Our results suggest that the final step in the replication of linear Borrelia replicons is a site‐specific DNA breakage and reunion event to regenerate covalently closed hairpin ends. The telomere substrate described here will be valuable both for in vivo manipulation of linear DNA in Borrelia and for in vitro studies to identify and characterize the telomere resolvase.
The Application of the Fuzzy Neural Network Control in Elevator Intelligent Scheduling Simulation

Because of the diversity of target about the elevator group control system and inherent randomness and non-linear of the elevator system, so it is very difficult to improve the performance of the elevator control system through the traditional control methods . In the elevator group control system it is feasible that the system coordinate the operation of multiple elevators by use of the fuzzy BP neural network and the optimized control strategy, which can increase the transport efficiency and service quality. This paper has set up the gauss member function of customer's waiting elevator satisfactory and customer's riding elevator satisfactory andcustomer's energy compulsions satisfactory, construct the model of the fuzzy BP neural network through the intelligent scheduling characteristics of the elevator. The different weights have been given through the different patterns of the running elevator and the simulations of the elevator intelligent dispatching has been achieved.
Spiral Acquisition of Software-Intensive Systems of Systems

The Department of Defense and other organizations are finding that the acquisition and evolution of complex systems of systems is both software-intensive and fraught with old and new sources of risk. This article summarizes both old and new sources of risk encountered in acquiring and developing complex software-intensive systems of systems. It shows how these risks can be addressed via risk analysis, risk management planning and control
Maximum-Likelihood Soft Decision Decoding of Bch Codes

The problem of efficient maximum-likelihood soft decision decoding of binary BCH codes is considered. It is known that those primitive BCH codes whose designed distance is one less than a power of two, contain subcodes of high dimension which consist of a direct sum of several identical codes. We show that the same kind of direct-sum structure exists in all the primitive BCH codes, as well as in the BCH codes of composite block length. We also introduce a related structure termed the "concurring-sum", and then establish its existence in the primitive binary BCH codes. Both structures are employed to upper bound the number of states in the proper minimal trellis of BCH codes, and develop efficient algorithms for maximum-likelihood soft decision decoding of these codes.
Trends in Personality Psychology

This paper reviews psychological research on personality conducted in Japan between July 2013 and June 2014. During the last year, the trends in personality research clearly included the following problems :first, the major contents to be studied were biased, and research on the structure and development of personality is relatively lacking. Second,studies on the effects of personality in each life stage,the association between personality,and maladaptive and adaptive techniques were considerably high in number. However, many of these studies were crosssectional. To prove causation,longitudinal study and randomized controlled experiments must be conducted. Third, there were many studies on scaling by questionnaires,which were similar to previous scales that were conducted according to other methods. Hence,these studies are considered necessary for the classification and organization of scales. Further development is expected in approaches other than the questionnaire method.
Demand side energy management system using ANN based linear programming approach

This paper presents an optimization method to the demand side Energy Management System (EMS) of a given consumer (e.g.an industrial compound or university campus) with respect to hourly electricity prices. This paper considers a cluster of interconnected price responsive demands in an Academic Campus. The demands can be supplied through the main grid and stochastic Distributed Energy Resources (DERs), such as wind and solar power sources. In addition, the cluster of demands owns an energy storage facility. The proposed EMS has ability that each consumer can employ their own strategy to regulate the present load and prices in the power distribution system. To solve this EMS problem and optimization algorithm based on Linear Programming (LP) approach has been implemented. In addition to LP algorithm an Artificial Neural Network was applied to predict the future power consumption of the cluster of price responsive demands. The objective of the proposed method is to maximize the utilization of the cluster of demands when it is subjected to a set of constrains. This LP algorithm allows the cluster of demand to buy, store and sell energy at suitable times to adjust the hourly load level. To evaluate the performance of the proposed algorithm an IEEE 14 bus system was considered. The results shows that the cluster of demands of energy management system using the proposed approach increasing the efficiency and minimizing the losses than the existing methods.
Structure and Development of Plans in Computer Text Editing

When people learn such a complex skill as computer text editing, they are learning a set of goals and the plans for accomplishing those goals. In this experiment we examined the structure and development of simple text-editing goals and plans. Long interkeystroke times were found to be associated with plan boundaries. The longest times were found between keystrokes separating superordinate goals, whereas less significant time increases appeared between keystrokes at subgoal boundaries. Changes in the patterns of interkeystroke times showed plan restructuring with experience.
Generating Realistic Optical Transport Network Topologies

We address the problem of generating physical realistic optical transport network topologies. This type of network has characteristics that differ from scale-free networks, such as the Internet. Based on the analysis of a set of real transport topologies, we identify and assess relevant characteristics. A method to generate realistic topologies is proposed. The proposed method is validated by comparing the characteristics of computer-generated and real-world optical transport networks.
Tutorial on specialisation of logic programs

In this tutorial the specialisation of declarative logic programs is presented. The main correctness results are given, and the outline of a basic algorithm for partial evaluation of a logic program with respect to a goal. The practical considerations of gaining efficiency (and not losing any) are discussed. A renaming scheme for performing structure specialisation is then described, and illustrated on a well-known string matching example. The basic algorithm is enhanced by incorporating abstract interpretation. A two-phase specialisation is then described and illustrated, in which partial evaluation is followed by the detection and removal of useless clauses. This is shown for the specialisation of a proof procedure for first order logic. The specialisation of meta programs is very important in logic programming, and the ground representation for object programs has to be handled. Some techniques for doing this are described. Comparisons are made in the tutorial to similar work in other programming languages, and the similarities and differences between them and logic program specialisation is discussed.
Systematic Review of the Correlation Between Temporomandibular Disorder and Body Posture

temporomandibular disorder or dysfunction (TMD) in Korea by analyzing the correlation between TMD and body posture in recent international research. Methods: We looked for recent clinical studies on TMD and body posture in Korean and English databases. Bias risk was estimated using the Risk of Bias Assessment Tool for Non-Randomized Studies and the Cochrane Risk of Bias Tool for assessing randomized controlled studies. Results: Nine clinical studies, published between 2005 and 2017, were analyzed. In each, TMD was assessed using the American Academy of Orofacial Pain diagnostic criteria and the Research Diagnostic Criteria for Temporomandibular Disorder. Six studies evaluated body posture using photographs, four studies used stabilometry, and one used both photographs and stabilometry. Conclusion: Six of the nine studies found a correlation between TMD and body posture. Well-designed randomized controlled trials are needed to provide more data to assess the validity of this correlation.
An efficiency-enhanced 2.4GHz stacked CMOS power amplifier with mode switching scheme for WLAN applications

A 2.4GHz stacked CMOS power amplifier (PA) with mode switching scheme is proposed to improve back-off efficiency in WLAN applications. The mode switching scheme effectively improves the PAE by 100% at 5dB back-off power by dynamically tuning the PA bias and optimal load with a power detecting controller. With the transistor-stacking and self-biasing techniques and powered by a 5.6V supply, the PA in high power mode (HPM) and low power mode (LPM) achieves the output P1dB of 27dBm with a PAE of 26.1% and 22dBm with a PAE of 21.8%, respectively, while occupying only 1.5mm2 die area in 180-nm CMOS process. In the closed-loop power detecting (PD) mode, the PA achieves -26.9dB EVM at 23dBm output power with 40MHz bandwidth 802.11n signals.
Interdisciplinary Journal of E-learning and Learning Objects Applications of Semantic Web Technology to Support Learning Content Development

The Semantic Web is based on ontology technology – a knowledge representation framework – at its core to make meaning explicit and more accessible to automatic processing. We discuss the potential of this technology for the development of content for learning technology systems. We survey seven application types demonstrating different forms of applications of ontologies and the Semantic Web in the development of learning technology systems. Ontology technologies can assist developers, instructors, and learners to organise, personalise, and publish learning content and to discover, generate, and compose learning content. A conceptual content development and deployment architecture allows us to distinguish and locate the different applications and to discuss and assess the potential of the underlying technologies.
PlanetSim: An extensible simulation tool for peer-to-peer networks and services

We introduce PlanetSim, a discrete event-based simulation framework for peer-to-peer overlay networks and services. It is implemented in Java and provides good qualities for both researchers and developers, such as a strong system development background, as well as modularity, flexibility and clarity on its design and implementation. All this is corroborated by the important community using and supporting PlanetSim.
The Cosmological dynamics of interacting holographic dark energy model

Motivated by the recent observations for cosmic acceleration and the suitable evolution of the universe provided an interaction (decay of dark energy to matter) is incorporated in a cosmological model, we study the cosmological evolution of the interacting holographic dark energy scenario. Critical points are derived and their corresponding cosmological models are presented. The dynamical character of these models is revealed.
Particle Swarm Fuzzy Controller for Behavior-based Mobile Robot

The attractive researches in the field of mobile robotics is behavior-based mobile robots. Behavior-based approach should have an ideal controller to generate perfect behavior action and able to handle conflicting ones that are seemingly irreconcilable. Schemas to overcome these problems based on fuzzy logic controller (FLC) are provided, known as fuzzy behavior-based robot. This paper presents a novel approach that the fuzzy membership functions and fuzzy rule bases are tuned automatically by particle swarm optimization (PSO), named as particle swarm fuzzy controller (PSFC). PSO is an optimization method that uses a principle of social behavior of a group of particles. The behaviors are controlled by PSFC to generate individual command action. Later, a context dependent blending (CDB) based on meta fuzzy rules coordinates the commands to produce final control action. The algorithm is validated using parameters of MagellanPro mobile robot and tested by simulation using MATLAB/SIMULINK. Simulation results show that the proposed model offers hopeful advantages and has improved performance
INTERPERSONAL COMMUNICATION STRATEGY FOR MAINTAINING POST-VIOLENCE RELATIONSHIP

Annual Notes (CATAHU) 2016 The National Commission on Violence Against Women (Komnas Perempuan) shows that dating violence continues to increase from year to year. The fact that dating violence does not yet have a strong legal protection like domestic violence is what keeps many cases of violence going on and destroying courtship relationships. But in fact, many couples who have experienced violence but still able to maintain their relationship until now. Research that aims to know about interpersonal communication strategy to maintain the relationship of courtship after violence uses a qualitative descriptive approach with interpretive paradigm to help interpret and understand attitudes. This study uses a phenomenological approach, with Dating Violence Theory, Interpersonal Communication Theory, Conflict Attribution Theory, Relational Maintenance Theory, and Emotion and Communication Theory. The study will be conducted on six people (3 pairs) of informants, which is composed of dating partner with 1 year long relationship, couple with 2 years long relationship, and couple with 6 years relationship. The results of this study all couples have experienced violence both psychic, physical and sexual, but in psychic violence not all dating partners are aware when doing or becoming victims of violence. Both women and men in this study had been perpetrators or victims of psychic and physical violence in courtship. However, this study revealed that only the women who ever felt to get the act of sexual violence from their partners, that is when felt forced to respond to sexual desire from their partners. They claim to continue doing it because they feel obliged to satisfy the sexual desires of their partners. Communication strategies conducted by courtship who have experienced violence through verbal and novetic communication activities are very important and necessary in maintaining courtship relationships woven. In addition to helping cure the pain of violence, spending time together to hangout and telling strories can be a nurturing in the affection and quality of post-violence relationships. Keeping the rules together, keeping commitments, resolving conflicts with openness, seeking win-win solutions, controlling emotions, mutually memorizing, always be there for each other, giving surprises to please couples, Hearing complaints and giving support to each other can also be an effort that couples make to maintain relationships.
Conceptual schema extraction using POS annotations and weighted edit distance algorithm

Database design process involves analysis of system requirements described in natural language for manual extraction of conceptual schema. This is a tedious process and prone to human error. Earlier approaches of automation of this process had made use of either a finite set of rules, Context Free Grammars (CFG) or semantic understanding. Rule and CFG based approaches are not robust enough to cover all possible scenarios; whereas semantic approaches are not generic and have domain dependencies. We have defined an approach where the sequence part-of-speech (POS) tags of a sentence are annotated to ER components and a set of such annotated sentences serves as our corpus. Use of POS tags instead of the actual terms in a sentence makes the approach more robust, generic and domain-independent. We have also defined our own algorithm, which takes an input sentence and uses an extension of Edit Distance technique, to find out similar matches for a POS sequence of an input sentence with an associated cost, if a perfect match is not found. The accuracy of our current system is 54%. The feedback provided by the user is used to update the underlying model making the approach more interactive and improving the accuracy of future predictions.
Subcategorisation Acquisition from Raw Text for a Free Word-Order Language

We describe a state-of-the-art automatic system that can acquire subcategorisation frames from raw text for a free word-order language. We use it to construct a subcategorisation lexicon of German verbs from a large Web page corpus. With an automatic verb classification paradigm we evaluate our subcategorisation lexicon against a previous classification of German verbs; the lexicon produced by our system performs better than the best previous results.
Declustering Effect of Geology Data

The various complex geological processes result in the reservoir heterogeneity. Wells are always drilled in areas with a greater probability of good reservoir quality. Core measurements are taken preferentially from good quality reservoir rock. The data from these sources distribute asymmetrically in the interesting area. Usually, some data are spatially clustered. It needs to correct this preferential clustering before making statistic. Two methods are introduced to obtain a representative statistic of the entire area of interest: one is cell declustering, and the other is polygonal declustering. The basic idea of the two methods is to assign lesser weights to closely spaced data and to assign greater weights to widely spaced data. A case study in Shi Nan oil field is presented. The research result shows that the statistic results using these two declustering methods are more reliable.
The Effects of Intertriai Interval Duration on Sight-Word Learning Rates in Children with Behavioral Disorders

An adapted alternating treatments design was used to compare the effects of two interventions on sight-word mastery rates in three elementary students with behavioral disorders and learning deficits. During both interventions, students were shown words and given 3 seconds to respond. Errors were corrected and accurate responses were reinforced. The only difference between the two interventions was the intertriai intervals (ITIs). Under the immediate ITI intervention, new words were presented immediately after the previous trial ended. Under the 5-second ITI intervention, after each learning trial ended the therapist waited 5 seconds before beginning the next trial. The results show that the interventions were equally effective in increasing sight-word reading accuracy. These results are discussed in terms of theories of pacing and learning rates.
Dental clinical research: an illustration of the value of standardized diagnostic terms

Abstract Objective Secondary data are a significant resource for in‐depth epidemiologic and public health research. It also allows for effective quality control and clinical outcomes measurement. To illustrate the value of structured diagnostic entry, a use case was developed to quantify adherence to current practice guidelines for managing chronic moderate periodontitis (CMP). Methods Six dental schools using the same electronic health record (EHR) contribute data to a dental data repository (BigMouth) based on the i2b2 data‐warehousing platform. Participating institutions are able to query across the full repository without being able to back trace specific data to its originating institution. At each of the three sites whose data are included in this analysis, the Dental Diagnostic System (DDS) terminology was used to document diagnoses in the clinics. We ran multiple queries against this multi‐institutional database, and the output was validated by manually reviewing a subset of patient charts. Results Over the period under study, 1,866 patients were diagnosed with CMP. Of these, 15 percent received only periodontal prophylaxis treatment, 20 percent received only periodontal maintenance treatment, and only 41 percent received periodontal maintenance treatment in combination with other AAP guideline treatments. Conclusions Our results showed that most patients with CMP were not treated according to the AAP guidelines. On the basis of this use case, we conclude that the availability and habitual use of a structured diagnosis in an EHR allow for the aggregation and secondary analyses of clinical data to support downstream analyses for quality improvement and epidemiological assessments.
Adaptive K-Parallel Best-First Search: A Simple but Efficient Algorithm for Multi-Core Domain-Independent Planning

Motivated by the recent hardware evolution towards multi-core machines, we investigate parallel planning techniques in a shared-memory environment. We consider, more specifically, parallel versions of a best-first search algorithm that run K threads, each expanding the next best node from the open list. We show that the proposed technique has a number of advantages. First, it is (reasonably) simple: we show how the algorithm can be obtained from a sequential version mostly by adding parallel annotations. Second, we conduct an extensive empirical study that shows that this approach is quite effective. It is also dynamic in the sense that the number of nodes expanded in parallel is adapted during the search. Overall we show that the approach is promising for parallel domain-independent, suboptimal planning.