Miracle-dz/UniFAR-FTUs huggingface dataset:
Semantic annotation of business process models

In the last decades, business process models have increasingly been used by companies with different purposes, such as documenting enacted processes or enabling and improving the communication among stakeholders (e.g., designers and implementers). Aside from the differences, all the roles played by process models involve human actors (e.g., business designers, business analysts, re-engineers) and hence demand for readability and ease of use, beyond correctness and reasonable completeness. It often happens, however, that process models are large and intricate, thus resulting potentially difficult to understand and to manage. In this thesis we propose some techniques aimed at supporting business designers and analysts in the management of business process models. The core of the proposal is the enrichment of process models with semantic annotations from domain ontologies and the formalization of both structural and domain information in a shared knowledge base, thus opening to the possibility of exploiting reasoning for supporting business experts in their work. In detail, this thesis investigates some of the services that can be provided on top of the process semantic annotation, as for example, the automatic verification of process constraints, the automated querying of process models or the semi-automatic mining, documentation and modularization of crosscutting concerns. Moreover, special care is devoted to support designers and analysts when process models are not available or they have to be semantically annotated. Specifically, an approach for recovering process models from (Web) applications and some metrics for evaluating the understandability of the recovered models are investigated. Techniques for suggesting candidate semantic annotations are also proposed. The results obtained by applying the presented techniques have been validated by means of case studies, performance evaluations and empirical investigations.
3D Printing and Its Applications

: This is a research paper on 3D printing which has become a notable topic in today’s technological discussion. In this paper, we will look at additive manufacturing or 3D printing. We will firstly define what we mean by this term and what is so significant about it. We will delve a bit into the history. Then we shall see about the process of 3D printing and the materials used in the manufacture of 3D printed objects. We shall also see the advantages of 3D printing as compared to conventional methods of manufacturing. We shall observe the numerous applications it is being out to use today. Finally the future potential of this technology is outlined
Capacity control in classifiers for pattern recognition

Achieving good performance in statistical pattern recognition requires matching the capacity of the classifier to the size of the available training set. A classifier with too many adjustable parameters (large capacity) is likely to learn the training set without difficulty, but be unable to generalize properly to new patterns. If the capacity is too small, even the training set might not be learned without appreciable error. There is thus an intermediate, optimal classifier capacity which guarantees the best expected generalization for the given training set size. The method of structural risk minimization provides a theoretical tool for tuning the capacity of the classifier to this optimal match. It is noted that the capacity can be controlled through a variety of methods involving not only the structure of the classifier itself, but also properties of the input space that can be modified through preprocessing, as well as modifications of the learning algorithm which regularize the search for solutions to the problem of learning the training set. Experiments performed on a benchmark problem of handwritten digit recognition are discussed. <<ETX>>
Spotlight Synthetic Aperture Radar Signal Processing Algorithms

Thank you very much for downloading spotlight synthetic aperture radar signal processing algorithms. Maybe you have knowledge that, people have search numerous times for their favorite books like this spotlight synthetic aperture radar signal processing algorithms, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some harmful virus inside their laptop.
Practical Support for Collaborative Design Involving Divided Interests

Collaboration is common in design, yet relatively little is known about the cognitive reasoning processes that occur during collaboration. This paper discusses collaborative design, emphasizing the elaboration and transformations of the problem search space, and the roles that unstructured verbal communication and graphic communication can play in these processes. The paper discusses a prototype system called the Immersive Discussion Tool (IDT) that supports asynchronous design. IDT allows collaborators to mark-up 3-D models over the Internet using a variety of tools, including diagrammatic marks, dynamic simulations and text annotations. IDT relies on VRML to view the models, with an extensive Java-based interface on the backend powering the interactive construction and playback of graphical annotations, the management of threaded discussions, and the management of file input/output. The development of this tool has revealed the difficulty of constructing complex marks in a virtual 3-D space, and the initial implementation of IDT suggests several strategies for solving these problems.
A Novel Task Scheduling Method in Cloud Environment using Cuckoo Optimization Algorithm

The issue of scheduling in a cloud is an NP-hard optimization problem. Maintaining a load balance between processing units in the system is of great significance in cloud technology. When a set of tasks arrive at the cloud, the system is supposed to respond to all of them as it manages to achieve the shortest possible time. This paper uses Cuckoo algorithm to perform such a management. The purpose of the proposed method is achieving an order of processing units such that the time of responses to queries is minimized. The input to cuckoo algorithm is the number of virtual machines and the number of tasks. By examining various orders of these machines, the proposed method allocates hosts to tasks in a proper way. Simulation results show that using Cuckoo algorithm for the intention of reaching the best order of processing units can lead to improved performance parameters. In addition, simulations reveal that if tasks are scheduled without any primary information about the resources, the results will not be satisfying enough.
The perceptions and experiences of English foreign language (EFL) primary school teachers from the Gharian district of Libya towards their continuing professional development (CPD)

The aim of this thesis is to evaluate the perception and experiences of English foreign language (EFL) teachers towards continuing professional development (CPD) in primary schools in the Gharian district of Libya. This study makes use of Community of Practice (Lave and Wenger, 1991; Wenger, 1998) and Institutional Theory (Scott, 2008) as its lenses for understanding the phenomena under investigation and the possible factors that influence it. The phenomenological research orientation,specifically the subjectivist paradigm, was selected for this study. The research design used semi-structure interviews with a small sample of the population of EFL teachers from seven primary schools in the Gharian district of Libya. The study found three key themes: (1) personal development (2) academic adaptability (3) teacher training show a positive influence on EFL teachers’ perception and experiences of participation in CPD. The study extends existing knowledge in Community of Practice, CoP (Lave and Wenger, 1991; Wenger, 1998) by postulating a Situational Community of Practice model using key themes from this study, which is currently lacking in literature. Also, it suggests ways that existing knowledge of Institutional Theory (Scott 2008) might be extended based on the findings of these teachers’ perception and experiences toward CPD continuing professional development programmes which are influenced positively and negatively by external forces outside their control (government -primary schools). Further, it strengthens conceptual knowledge in the field of continuing professional development [CPD] as these teachers felt their personal development goals to be the critical factor in applying the knowledge acquired from continuing professional development. Finally, the overall finding from this study provides contribution that could help policy makers in the Gharian district primary education sector to meet the aspirations and expectations of EFL teachers.
A Framework for Evaluating Inductive Models of Software Development

This study introduces a framework for evaluating decision models in organizations that conduct custom software development. The framework takes the form of a metamodel into which decision models can be embedded and assessed. In response to the turbulent, heterogeneous task environments facing software firms, the framework targets each model’s self-adaptive or inductive features for analysis. The evaluation mechanism is comprised of homomorphisms from abstract algebra and the transition function, observability and controllability features of control systems theory. The meta-model is tested on three candidates, two static models and a dynam ic model based on Simon’s behavioral model of rational choice. It correctly distinguishes the former models as having weak induction features and the latter as being strong on this aspect.
Skills capital and inclusivity in men’s roller derby

Engaging with debates on the potential of sports to be inclusive, this research presents an analysis of the impact of capital on inclusivity in men’s roller derby, an alternative sport. Through qualitative interviews and participant observation of a men’s roller derby team based in South Yorkshire, skills capital is shown to have a detrimental impact on the goal of inclusivity. Skills capital is a form of symbolic capital that grants the bearer significant freedom to engage in non-conforming behaviour within a group setting. Given the commitment to inclusivity within the sport, this non-conforming behaviour has the potential to be transformative, but more frequently replicates the hegemonic masculine practices of mainstream sport. This renders the goal to be more inclusive problematic and difficult to achieve in practice even within alternative sporting spaces.
On the dynamic relations among multiple goals: Intergoal conflict and intergoal facilitation in younger and older adulthood

Title page and contents Acknowledgments Abstract Zusammenfassung 1\. Introduction 2\. Theoretical Considerations 2.1. Goals, Action, and Development 2.2. How Does One Know a Behavior Is "Adaptive"? 2.3. The Model of Selection, Optimization, and Compensation 2.4. Characteristics of Adaptive Goal Selection 2.5. Relations Among Multiple Goals 2.6. Toward an Expanded Assessment of Intergoal Relations: Potential Sources of Conflict and Facilitation 2.7. A Preliminary Working Model 2.8. Intergoal Relations in Younger and Older Adults 2.9. Potential Antecedents of Intergoal Conflict 2.10. Intergoal Conflict and Adaptive Life Management 2.11. A Shared Goal: Intention to Start Regular Physical Exercise 2.12. Summary of the Theoretical Background, Research Questions, and Hypotheses 3\. Method 3.1. Study Part 1: Short-Term Longitudinal Questionnaire Study 3.2. Study Part 2: Diary Phase 3.3. Ruling Out a Methodological Concern: "Intervention Effects" of the Diary Phase? 3.4. General Statistical Procedures 4\. Results 4.1. Study Part 1: Short-Term Longitudinal Questionnaire Study 4.2. Study Part 2: Diary Phase 5\. Discussion 5.1. The Independence of Intergoal Conflict and Facilitation 5.2. Intergoal Relations in Younger and Older Adults 5.3. Intergoal Relations and Adaptive Life Management 5.4. Conclusions 5.5. Outlook 6\. References 7\. Appendices 7.1. Appendix A: Additional Information on Instruments in Study Part 1 7.2. Appendix B: Description of Variables in Study Part 1 7.3. Appendix C: Age-Group Differences in Intergoal Conflict and Facilitation After Excluding the Exercise Goal 7.4. Appendix D: Additional Control Analyses in Study Part 1 7.5. Appendix E: Description of Variables in Study Part 2 7.6. Appendix F: Additional Control Analyses in Study Part 2
The Effects of Narrative Therapy Group Counseling Program Using Role-Playing Game Format on Happiness and Negative Emotions in Children

The purpose of this study was to examine the effects of the narrative therapy group counseling program using RPG(Role Playing Game) format on happiness and negative emotions in children. The subjects of this study were 30 elementary school students who were referred to emotional and behavioral problems in a mental health center or elementary school in Seoul. They were allocated into an experimental group and a control group containing 15 students. Experimental group received a 60-minutes-session per week for 8 weeks. As a result, negative emotions of the experimental group statistically and significantly decreased compared with the control group, as well as the happiness. Results after 20 days showed that was maintained. In conclusion, the narrative therapy group counseling program using RPG (Role Playing Game) format in this study was found to be effective in reducing negative emotions and increasing happiness.
Psycho-social effects of a brain-training program among healthy older adults

Grounded in cognitive neuroscience and social exchange theory, this research evaluated the relationship between changes in cognitive functioning and two psycho-social dimensions of life among healthy adults over the age of 70 (N=12). Specific psycho-social dimensions examined were social interaction and depression. Six females and six males participated in the study. All were white, college-educated individuals residing in a life-care residential retirement community. The participants used the Posit Science® Brain Fitness ProgramTM, an auditory-based computer training program that improves memory and speed of processing, for forty hours over an eight-week period. Preand post-tests related to social interaction and depressive symptoms indicated that improvement in cognitive functioning was related to improvement in psychosocial dimensions in later life. * Desma Hurley is now a master’s student majoring in human development, family sciences, and rural sociology with an emphasis in gerontology. She completed this project while a human development, family sciences, and rural sociology undergraduate
Automatic Row And Column Lips Extraction

Deaf is the inability of sound perception . Therefore, another way to communicate to each other is by using sign language. However, not many people know and understand sign language Another way to help and support communication between deaf people is l ip reading. Using visual information from lips movement can improve deaf people to comunicate with others. A lot of researchers study about lip reading. However, there are a lot of difficulties in practical implementation such as difficulties in tracking lip s movement . In case to tracking lips movemen, t his paper proposes a method to obtain row and column lips feature extraction based on lips color . Geometric model used to obtain r ow and column ekstraction from lips image sequence as input. Row feature is obtained from upper and lower lips, and the column feature is obtained from maximum right and left from lips region.
Jack’d dating application motivations, experiences, and sexual risk behaviors: a qualitative pilot study

Abstract Introduction: Little is known about geosocial networking dating application use among young Black gay and bisexual men (YBGBM), a group severely affected by HIV in the United States. The purpose of this study was to explore: (1) How YBGBM describe motivations to use Jack’d; (2) How YBGBM describe and experience meeting romantic-sexual partners on Jack’d, including partner preferences and offline sexual encounters; and (3) How these descriptions and experiences reflect sexual risk behaviors? Methods: Between April and July 2015, we conducted 23 face-to-face semistructured interviews with self-identified Black gay (n = 15) and bisexual (n = 8) men (21–25 years) (M = 23.48, SD = 1.5) in Washington, DC. All interviews were audio-recorded, transcribed, and analyzed using thematic analysis methodology. Results: Motivations to use Jack’d included discomfort and challenges meeting men in open/public spaces that may lead to homophobic violence. Nearly half articulated distrust of HIV-negative disclosure from their Jack'd-met partner. Some participants reported inconsistent condom use when the insertive partner in anal sex, and several perceived Jack’d-met partners their own age to be less concerned about HIV than older men. Conclusion: HIV prevention strategies directed toward YBGBM should consider the role dating applications may play in either exacerbating or attenuating sexual risk.
Borrowing Benefits: Clinical EFT (Emotional Freedom Techniques) as an Immediate Stress Reduction Skill in the Workplace

Clinical EFT (Emotional Freedom Techniques) is an evidence-based practice that has demonstrated efficacy for anxiety, depression, and PTSD. While a literature search identifies over 100 EFT papers, none thus far report on its use with business executives. The current study assessed psychological indicators in business owners (N = 39) over 50 years old and whose companies grossed US$9 million or more annually. Participants attended a daylong seminar combining psychoeducation with EFT delivered in small group format using a manualized protocol known as Borrowing Benefits. All members of each group used EFT while witnessing sessions conducted by a certified Clinical EFT practitioner. After treatment, the severity of psychological symptoms such as anxiety and depression declined by 34% (p < 0.0008). Pain was reduced by 41%, and cravings for problem food and drink items by 50% (both p < 0.0001). The study focused on EFT’s immediate stress-reduction effects and did not include a follow-up assessment. Consistent with the literature on Borrowing Benefits, EFT produced large reductions in stress symptoms when delivered in group format. As businesses seek methods of reducing stress in professional settings, Clinical EFT groups offer a fast and effective technique to improve both the physical and psychological dimensions of employee well-being.
Cross-Language Influence of Phonological Processing Skills on Early Reading in Chinese-English Speaking Children

Empirical research shows the importance of phonological processing in children’s acquisition of reading skills. However, the cross-language relationship between first language and second language is still not clearly described especially in Malaysia’s multi-cultural context. This study examines the relations between phonological processing skills and early reading in children’s acquisition of Chinese (L1) and English (L2) as second languages. A total of 150 Chinese-speaking children (6 - 7 years old) participated and were administered measures of early reading and phonological processing skills in both L1 and L2. Within-language and cross-language structural equation, models (SEMs) were created to explore the causal relationships between phonological processing skills and early reading in both languages. Results indicated that among the three key skills of phonological processing, rapid automatic naming was the strongest predictor of Chinese early reading. In contrast, phonological awareness strongly predicted English early reading. Only English (L2) rapid automatic naming skills contributed to Chinese (L1) early reading. The cross-language transfer of English rapid automatic naming skills on Chinese (L1) early reading was found and reported. This study contributes to the development of models and theories of bilingual acquisition. It aims to design instructional programmes by considering these critical skills' contribution in enhancing successful reading in English as a second language
Perspective on muon-spin rotation/relaxation under hydrostatic pressure

Pressure, together with temperature, electric, and magnetic fields, alters the system and allows for the investigation of the fundamental properties of matter. Under applied pressure, the interatomic distances shrink, which modifies the interactions between atoms and may lead to the appearance of new (sometimes exotic) physical properties, such as pressure-induced phase transitions; quantum critical points; new structural, magnetic, and/or superconducting states; and changes of the temperature evolution and symmetry of the order parameters. Muon-spin rotation/relaxation ([Formula: see text]SR) has proven to be a powerful technique in elucidating the magnetic and superconducting responses of various materials under extreme conditions. At present, [Formula: see text]SR experiments may be performed in high magnetic field up to [Formula: see text] T, temperatures down to [Formula: see text]–15 mK, and hydrostatic pressure up to [Formula: see text] GPa. In this Perspective, the requirements for [Formula: see text]SR experiments under pressure, the existing high-pressure muon facility at the Paul Scherrer Institute (Switzerland), and selected experimental results obtained by [Formula: see text]SR under pressure are discussed.
Polar Encoding: A Simple Baseline Approach for Classification with Missing Values

We propose polar encoding, a representation of categorical and numerical $[0,1]$-valued attributes with missing values to be used in a classification context. We argue that this is a good baseline approach, because it can be used with any classification algorithm, preserves missingness information, is very simple to apply and offers good performance. In particular, unlike the existing missing-indicator approach, it does not require imputation, ensures that missing values are equidistant from non-missing values, and lets decision tree algorithms choose how to split missing values, thereby providing a practical realisation of the"missingness incorporated in attributes"(MIA) proposal. Furthermore, we show that categorical and $[0,1]$-valued attributes can be viewed as special cases of a single attribute type, corresponding to the classical concept of barycentric coordinates, and that this offers a natural interpretation of polar encoding as a fuzzified form of one-hot encoding. With an experiment based on twenty real-life datasets with missing values, we show that, in terms of the resulting classification performance, polar encoding performs better than the state-of-the-art strategies \e{multiple imputation by chained equations} (MICE) and \e{multiple imputation with denoising autoencoders} (MIDAS) and -- depending on the classifier -- about as well or better than mean/mode imputation with missing-indicators.
The multilayer sentiment analysis model based on Random forest

With the rapid development of the Internet, artificial intelligence has gain widespread concern. Under the background, as one closely related discipline sentiment analysis's relevant research work have also been expanded. First, the paper analy existing text sentiment analysis method, compare the effect of a variety of emotional classification trained by traditional machine learning model. Second, it introduce ensemble learning methods, use random forest as meta learning method train base classifiers which trained through different feature sets. Though the experiments concluded that: by using a different set of features and different base classifiers, the ensemble model can obtain significant promotion, so the paper propose a new model " MFMB-ME, Multi-Features Multi-Base-Classifiers Meta Ensemble Learning Sentiment Analysis Model".