Miracle-dz/UniFAR-FTUs huggingface dataset:
Connectionist Models for Learning, Discovering, and Forecasting Software Effort: An Empirical Study

Mining information and knowledge from very large databases is recognized as a key research area in the machine learning and expert systems field. We show connectionist models can be used to learn software effort when the available data set is small. We use a connectionist model to learn software effort from a small training data set of several software projects and validate the model on a holdout sample. Several design issues associated with developing connectionist models on a small training data set are described. Our research indicates that connectionist models, whenever carefully designed, could help knowledge discovery and software effort estimation.
How Do EFL Students React to the Native English-speaking Teacher's Feedback Anyway?

This study investigates the relationship between a native English-speaking teacher and EFL students in the response-and-revision process. The data consisted of drafts and revisions produced by three students in response to teacher comments and interviews with students. In order to examine how EFL students react to the feedback, teachers' written feedback on the papers was evaluated by calculating frequency counts on the same types of feedback. We then examined the extent to which students made use of teacher feedback in their revisions. In addition, we supplemented our interpretations by extracting aspects of the students' views through analysis of the interview data. All three students believe that only native speakers can correct language errors in their writing. Furthermore, the students prefer or indeed demand native English-speaking teachers as writing teachers. In fact, dissimilar student reactions to native English-speaking teacher feedback probably arise from whether and how they positioned themselves as a writer in the EFL writing classroom.
A Critique of the Methods Available for Carbon Monoxide Analysis in Blood and Tissues

SummaryIt is noted that of these four methods, gas chromatography provides the most reliable results. An obvious advantage of this technique is that accurate results can be obtained from putrified tissue. The author provides a description of the procedures and results of an analysis of carbon monoxide in a blood sample conducted using gas chromatography techniques.
Improving access to multilingual health information for newcomers to Canada

Canada's immigrant and refugee population is a vulnerable group in our health care system with specific information needs. Newcomers to Canada face certain socioeconomic, cultural–linguistic, and systemic barriers to access to health care that government, social agencies, and health care organizations work to overcome. To address some of the communication barriers, many health organizations develop information resources such as online brochures and education handouts. Several organizations offer specifically tailored multilingual publications to meet newcomers' information needs and write them using cross-cultural approaches. However, multilingual health information may be hard to locate and is not readily available through major Canadian consumer Web sites. This article discusses the advantages of sharing multilingual publications online and asks whether a central portal or repository is a possible solution for making publications more widely available across Canada.
Information Entropy-Based Texture Adaptation for 3D Vector Field Visualization

Texture adaptation is a challenging issue in texture-based feature visualization. In order to visualize as more information as we can, this paper presents a texture adaptation technique based on extended information entropy. A new definition of information entropy for 3D vector field is proposed to quantitatively represent the information carried by them. A discussion of results is included to demonstrate our algorithm which leads to a more reasonable visualization results based on texture adaption with information entropy.
Development and evaluation of simulation based neurosurgery curriculum. Pilot study at the Poznan University of Medical Sciences.

Introduction. Neurosurgical emergencies are complex tasks. The current learning environment limits students’ ability to manage acute neurosurgical emergencies due to legal and safety concerns. Simulation provides an opportunity to participate in the care of neurosurgical emergencies and develop clinical decision making skills. Aim. We aim to determine whether neuroscience simulation curriculum improves student ability to: manage a critically ill patient, recognize neurosurgical emergencies, to assess how stress tolerance affects experience during simulations and effectiveness of students performance. The third objective is to develop a tool for student assessment. Material and Methods. The simulation was performed on SimMan 3G Human Patient Simulator (Laerdal Medical). Scenarios included common neurosurgical emergencies. Students were assessed before and after the course by completing a Likert type questionnaire. Response data was analysed using Cronbach’s reliability for Likert-type response data and Spearman's monotonic correlation. Results. 60 students of fifth and sixth year of medical studies attended the course. 39 students of them replied to the questionnaire. The simulated clinical experience was positive and it improved their knowledge about neurosurgical emergencies. There was an improvement in their confidence. Improvement in individual and team performance was also observed. Conclusions. Neurosurgical simulations improve students` ability to recognize neurosurgical emergencies. The level of stress related to simulation is important factor of the education process and should be reduced to improve students’ development. Our questionnaire is an effective tool for assessment of students experience during clinical simulations.
JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures

Preface.1. Introduction to Data Compression.2. Source Coding Algorithms.3. JPEG-Still Image Compression Standard.4. Introduction to Discrete Wavelet Transform.5. VLSI Architectures for Discrete Wavelet Transforms.6. JPEG 2000 Standard.7. Coding Algorithms in JPEG 2000.8. Code Stream Organization and File Format.9. VLSI Architectures for JPEG 2000.10. Beyond Part 1. of JPEG 2000.Index. About the Authors.
A Unified Framework for e-Commerce Systems Development: Business Process Pattern Perspective

In electronic commerce, systems development is based on two fundamental types of models, business models and process models. A business model is concerned with value exchanges among business partners, while a process model focuses on operational and procedural aspects of business communication. Thus, a business model defines the what in an e-commerce system, while a process model defines the how. Business process design can be facilitated and improved by a method for systematically moving from a business model to a process model. Such a method would provide support for traceability, evaluation of design alternatives, and seamless transition from analysis to realization. This work proposes a unified framework that can be used as a basis to analyze, to interpret and to understand different concepts associated at different stages in e-Commerce system development. In this thesis, we illustrate how UN/CEFACT’s recommended metamodels for business and process design can be analyzed, extended and then integrated for the final solutions based on the proposed unified framework. Also, as an application of the framework, we demonstrate how process-modeling tasks can be facilitated in e-Commerce system design. The proposed methodology, called BP3 stands for Business Process Patterns Perspective. The BP3 methodology uses a question-answer interface to capture different business requirements from the designers. It is based on pre-defined process patterns, and the final solution is generated by applying the captured business requirements by means of a set of production rules to complete the inter-process communication among these patterns.
Work and Aging; A European Perspective

New updated! The latest book from a very famous author finally comes out. Book of work and aging a european prospective, as an amazing reference becomes what you need to get. What's for is this book? Are you still thinking for what the book is? Well, this is what you probably will get. You should have made proper choices for your better life. Book, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with.
United Feelings: The Mediating Role of Emotions in Social Media Campaigns for EU Attitudes and Behavioral Intentions

The mediating role of emotional reactions and their relevance for political attitudes and behavioral intentions has remained an understudied subject, and the extant literature has mostly overlooked the importance of political campaigning on social media in the context of the European Union (EU). Using an experimental design, we test whether political parties’ (1) positive or negative EU-related (2) emotional or non-emotional political messages influence citizens’ emotions toward the EU, whether these emotions affect politically relevant outcomes, and whether the effects differ for citizens with varying political ideologies. We find that positive emotions in particular affect almost all outcome variables above and beyond experimental condition and individuals’ political orientation. We discuss our results in light of political marketing research and recent developments in the EU.
Personal and psychosocial factors associated with anabolic-androgenic steroid use among Iranian male bodybuilders

ABSTRACT Aim: The use of anabolic-androgenic steroids (AASs) by athletes has become a widespread problem in the developing countries. However, predisposing risk factors for AAS initiation among athletes are not well known. This study aimed to investigate the roles of psychosocial and demographic factors associated with AAS use among Iranian male bodybuilders. Method: This descriptive-analytical study was carried out on 280 male bodybuilders of Hamadan recruited through a multistage sampling method in 2016. The data-gathering tool consisted of a self-administered questionnaire with questions about AAS use and demographic, social, and psychological variables. Data were analyzed with SPSS-16 software using Chi-square, independent t-test, and logistic regression methods. Results: A total of 76 (27.1%) subjects were AAS users. According to the results, attitude and self-efficacy were associated with AAS use (p < 0.05). The result obtained from logistic regression analysis revealed that tobacco smoking, alcohol consumption, supplement use, having AAS user coach, and having AAS user friends were significant predicting factors for AAS use among male bodybuilders (p < 0.05). Conclusion: AAS use is common among male bodybuilders in Iran. Personal and psychosocial correlates of AAS use identified in this study may be helpful for the development of preventive interventions.
Research and Design for 2D-FFT Processor Based on FPGA

In this paper, a 2D-FFT processor design on CORDIC algorithm has proposed. This design extracts the radix-4 algorithm in FFT as the foundation, uses the assembly line technology to enhance the turnover rate for the whole system, and has many characteristics with the simple hardware architecture, low component, stable running and high precision. This design has carried on the timing simulation on Altera chip EP2C35F672C6, can satisfy 50MHz system clock.
Monitoring in a harsh environment

Norway's largest industrial project ever, is the development of natural gas extraction in Ormen Lange, which required a condition pipeline monitoring system to monitor the enormous pipeline due to the extreme subsea conditions. With a project the size of the Ormen Lange and involving tight time lines and rugged conditions, innovative approaches were required to solve the engineering challenges. Through NAXYS technology Bjorge AS was able e these challenges by reusing off the shelf hardware based on a Blacklfin Processor by analog devices and applying graphical programming to generate the code required to deploy to this low-power embedded target. The LabVIEW Embedded Module helped to shorten development time and ensured parallel operation and complex interrupt handling demanded for this application. The oil and gas market now gains from a solution that allows synchronised measuring between 'n' nodes over distances far longer than 100 metres with high accuracy. The wireless acoustic communication, in-node data analysis and storage along with a smart power scheme allows the lowest power consumption and ensures continuous detection and handling of critical static and dynamic motions. Thanks to acoustic links, critical data can be sent directly to the engineer's desk. This provides new possibilities within all kinds of synchronised vibration monitoring.
Extraction automatisée de lignes et de fragments textuels dans les images de manuscrits d'auteur du XIXe siècle

Dans cet article on propose une nouvelle approche pour l'enrichissement des editions electroniques de corpus litteraires grâce a l'estimation de la structure des documents manuscrits. Dans tout processus d'analyse de document manuscrit l'analyse de la structure est une etape importante : en effet, disposer de la position des lignes de texte, des paragraphes et des fragments permet d'envisager de nouveaux moyen d'exploiter les corpus litteraires. L'extraction de structure d'un document manuscrit est rendu difficile par les variations d'orientation de la ligne de base et des espaces interligne mais egalement par les chevauchements entre lignes et les occlusions. On propose un algorithme d'extraction des lignes de texte et des fragments textuels base sur une analyse en composante connexes. Une fois l'extraction des composantes connexes realisee on construit un graphe d'adjacences pondere et oriente : chaque composante connexe correspond a un noeud. Chaque noeud est l'origine de 4 arcs les reliant a ses plus proches voisins dans 4 directions : gauche, droite, haut et bas. En parallele et via une approche similaire chaque composante connexe est identifiee comme appartenant a une des classes suivantes : haut de page, bas de page, gauche, droite ou interieur du texte. Cette identification permet d'initialiser l'algorithme d'extraction des lignes qui utilise une recherche du plus court chemin entre connexite gauche et droite sur le graphe oriente decrit precedemment. L'extraction des fragments est ensuite realisee via une fusion des lignes extraites par rapport a des criteres de distance interligne et de variation d'orientation de la ligne de base.
Cost Analysis for a Continuously Operated Fine Chemicals Production Plant at 10 Kg/Day Using a Combination of Microprocessing and Microwave Heating

An extended cost study consisting of 14 process scenarios was carried out to envisage the cost impact of microprocessing and microwaves separately or in combination for two liquid-phase model reactions in fine-chemicals synthesis: (1) Ullmann C–O cross-coupling reaction and (2) the aspirin synthesis. The former, a Cu-catalyzed substitution reaction, was based on an experimental investigation, whereas the latter, a noncatalyzed aromatic esterification reaction, was based on literature data. The cost of 4-phenoxypyridine production, as a pharmaceutical intermediate in the synthesis of vancomycin or vancocin, was compared with that of the synthesis of aspirin, a key example of large-scale fine-chemical production plants. The operating costs in the Ullmann synthesis were found to be related to material-based process (reactant excess, pretreatment, and catalyst synthesis), whereas those in the aspirin synthesis appeared to be related to downstream-based process (workup, waste treatment). The impact of an integrated microwave heating and microprocessing system on profitability was demonstrated with respect to operational cost and chemical productivity. Different modes of microwave heating and catalyst supply were studied and compared with conventional oil-bath-heated systems in batch and continuous processes. The overall costs including profitability breakthrough for a competitive market price of product were obtained from various combinations of heating and processing. In case of the Ullmann synthesis, the CAPEX (capital expenditure) was negligible compared to the OPEX (operational expenditure), whereas in the aspirin synthesis, the CAPEX was found around 40%, both at a production scales of 1–10 kg/day using proposed upscale methods. The source of the catalyst strongly determined the profitability of a continuously operated Ullmann process due to its effect on the chemical performance. Higher energy efficiencies could be attained using single-mode microwave irradiation; however, the energy contribution to the overall cost was found to be negligible. Different scenarios provided a cost-feasible and profitable process; nevertheless, an integrated microwave heating and microflow processing led to a cost-efficient system using a micropacked-bed reactor in comparison to wall-coated microreactor, showing a profit margin of 20%.
Research on User-item Rating based on Collaborative Filtering Algorithm

Traditional collaborative filtering methods just use user-item rating matrix to generate recommendations, and lead to difficult to computer the similarity because of the data sparsity. We propose a hybrid collaborative filtering algorithm combining the rating matrix and item attributes. First, we design a user similarity measurement method by computing the user’s preference to different item attributes, this approach is consistent with the true relationship between users, and also can effectively alleviate the issue of rating matrix sparse. Then, when computing the similarity of two users, we combine the Pearson correlation and the items attribute preference similarity, with a weighting coefficient “w” to balance the importance of two parts. Experiments show that this algorithm effectively solves the problem of data sparsity, and outperforms better when the sparsity is more serious, compared to the traditional CF algorithms.
Negative Social Events among Patients in a Partial Hospital Program

Traumatic experiences have mostly been researched in the context of posttraumatic stress disorder (PTSD). The appraisal of traumatic events is thought to be a key process in determining whether PTSD develops. However, trauma may be too narrowly defined and may include other types, such as social trauma. There is evidence that at least some individuals with social anxiety disorder (SAD) meet criteria for PTSD in response to a negative social event (Erwin et al. 2006). In this study, we explored whether similar appraisal processes may contribute to the development of PTSD and SAD. We assessed the frequency of socially negative events and how these events were appraised, and whether certain appraisals predict SAD diagnosis. We used the Posttraumatic Cognitions Inventory (PTCI), a self-report questionnaire which assesses thought and beliefs related to trauma. The subscales on the PTCI (Negative Cognitions about the Self, Negative Cognitions about the World and Self-Blame) have been found to discriminate well between individuals who have experienced trauma and either go on to develop PTSD or not (Foa, Ehlers, Clark, Tolin, and Orsillo, 1999). Twenty-one partial hospital patients (M age = 38.2, SD = 13.4, 52.4% were female) with a variety of psychological disorders participated in the study. All participants reported negative social events in childhood or adolescence in which they experienced being humiliated, ridiculed, or rejected by other people. The best model to predict diagnosis of SAD included only two of the three subscales of the PTCI; more Negative Cognitions About the Self and less Self-blame increased the likelihood (although not statistically significant) of being diagnosed with SAD. The results indicate that certain appraisals of negative social events may contribute to the development of SAD It is important to replicate this study with a larger sample to increase statistical power. Also, PTSD symptoms should be measured in response to socially negative events in future studies in order to assess how many individuals have PTSD in reaction to negative social events.
Biodegradable polymer versus second‐generation durable polymer drug‐eluting stents in patients with coronary artery disease: A meta‐analysis

Biodegradable polymer drug‐eluting stents (BP‐DES) were developed in hopes of reducing the risk of stent thrombosis. The comparison of this new stent platform with second‐generation durable polymer drug‐eluting stents (DP‐DES) has not been well described. We, therefore, performed a meta‐analysis to evaluate the safety and efficacy profiles of BP‐DES versus second‐generation DP‐DES in patients with coronary artery disease.
Pengenalan Wajah (Face Recognition) dengan Menggunakan Metode Surf (Speeded Up Robust Features)

face is a common object in computer vision technology research and image processing. This is because the face is a common thing used to distinguish face ID from one to another of course need some interest point to select the amount of data, Scale Space Representation to handle scale differences in object scales, Feature Desciption, Feature Matching and Recognition. For the processing of some kind of method it is more appropriate to use algoritma SURF (Speed Up Robust Features). The Data based on an example of a face image is matched with the face image in the available data base by measuring the lavel of equation with various kinds of methods Interest Point, Scale Space, Feature Description, Feature Matching and Face Recognition. The purpose of this research in just to apply the feature SURF in the library Open CV written using Python Programming Language. The average face tested for 30 image can be recognized all though there are 12 Unsaved data due to the lighting Factor and distance Factor with the camera. Based on match statistic data matching value with value 1.00000 stated match less than 98% the value is only about 65 % the same though the image is dropped.
Evaluation the effect of autologous bone marrow - derived mesenchymal stem cells as a treatment in diabetic rabbits

ground: Type 1 diabetes is the result of an autoimmune attack against the insulin-producing beta cells of the pancreas. Current treatment for patients with type 1 diabetes typically involves a rigorous and invasive regimen of testing blood glucose levels many times a day along with injections of recombinant insulin. Many recent researches have shown that stem cell therapy can be the best choice for treatment of this disease. The aims of this research were investigating regeneration of pancreatic beta cells of type 1 diabetic rabbits after stem cell transplantation. Materials and Methods: 32 rabbits weighting an average of (2.5 - 3 kg) were used in this experimental study, and divided into 2 groups as follows; group A ( contains 16 controlled diabetic rabbits received insulin as a treatment ) and group B ( contains 16 diabetic rabbits received autologous mesenchymal stem cells as a treatment). The induction of diabetes was achieved by a single dose of intravenous injection of the Alloxan, which was administered to the rabbits via the marginal ear vein, mesenchymal stem cells were differentiated into insulin - producing cells and reimplanted into the rabbits of group B with daily monitoring of blood glucose level and body weight. Results: The insulin - producing cells regulated the hyperglycemia resulted from diabetic rabbits , 7 to 9 days after reimplantation the blood glucose level were decreased from about( 400 mg/dl into 180 mg/dl). Conclusions: Islet-like functional cells can be differentiate d from bone-marrow mesenchymal stem cells (MSCs), which may be a new procedure for clinical diabetes stem -cell therapy, these cells controlled blood glucose level in diabetic rabbits as the effect of insulin. MSCs play an important role in diabetes therapy by islet differentiation and