Miracle-dz/UniFAR-FTUs huggingface dataset:
THE PROCESS OF SETTLEMENT BRANDING. CASE STUDIES ON CITY BRANDING IN TRANSYLVANIA

The study presents the project cycle man-agement and the known branding processes in order to create a feasible and detailed plan for settlement branding aiming to create a guide-line for brand makers. The second part of the study focuses on the critical parts of settlement branding in Transylvania, the evaluation of com-petition, targeting, defnition of brand values as perceived by the internal and external target groups by schema-based authentication and ste-reotypes. The presented cases of municipalities in Transylvania have a practical approach and provide a guideline for brand builders by defn-ing local values, making the community aware of them and promoting them in order to reach the targeted unique advertising position.
Innovative Congestion Control Algorithm for High Speed Networks

Nowadays, more and more applications require fast transfer of massive data over networks, and the emergences of high-speed networks provide an ideal solution to this challenge. Due to the limitations of the conservative congestion control algorithm, the standard TCP is no longer appropriate for high- speed networks to efficiently utilize the bandwidth resources. A new congestion control algorithms for high-speed networks. It uses packet loss information to determine whether the window size should be increased or decreased, and uses queuing delay information to determine the amount of increment or decrement.
Networks, Proximities, and Interfirm Knowledge Exchanges

Building on previous literature that provides extensive evidence concerning flows of knowledge generated by interfirm agreements, in this article, we aim to analyze how the occurrence of such collaborations is driven by multidimensional proximity among participants and by their position within firms’ networks. More specifically, we assess how the likelihood that two firms set up a partnership is influenced by their bilateral geographical, technological, organizational, institutional, and social proximity and by their position within networks. Our analysis is based on agreements in the form of joint ventures or strategic alliances, announced over the period 2005–2012, in which at least one partner is localized in Italy. We consider the full range of economic activities, which allows us to offer a general scenario and to investigate specifically the role of technological relatedness across different sectors. The econometric analysis, based on the logistic framework for rare events, provided three noteworthy results. First, all five dimensions of proximity jointly exert a positive and relevant effect in determining the probability of interfirm knowledge exchanges, signaling that they complement each other rather than function as alternative channels. Second, the highest impact on probability is due to technological proximity, followed by organizational, geographical, and institutional proximities, while social proximity has a limited effect. Third, we find evidence concerning the positive role played by networks, through preferential attachment effects, in enhancing the probability of interfirm agreements.
Crime and Establishment Size: Evidence from South America

Abstract Establishment exposure to crime is a frequent occurrence and a severe impediment to business operation in developing economies. We present a simple theory for the frequency and severity of crime across establishment size and evaluate its central predictions using micro-data. We find that high expectation of crime at the establishment level is strongly associated with lower sales, labor and capital. Consistent with our theory, crime has a differential role across size and is less prevalent among the smallest and largest establishments. When evaluated relative to major distortions to production highlighted in developing economies, crime remains important for explaining establishment size.
A Novel Method to Detect Segmentation points of Arabic Words using Peaks and Neural Network

Many methods of segmentation using detection of segmentation points or where the location of segmentation points is expected before the segmentation process, the validity of segmentation points is verified by using ANNs. In this paper apply a novel method to detect correctly of location segmentation points by detect of peaks with neural networks for Arabic word. This method employs baseline and peaks identification; where using two steps to segmenting text. Where peaks identification function is applied which at the subword segment level to frame the minimum and maximum peaks, and baseline detection. Where these two steps have led to the best result through the model depends on minimum peaks attained by utilising a stroke operator with a view to extracting potential points of segmentation, and determining the baseline procedure was developed to approximate the parameters. Where this method has yielded highly accurate positive results for Arabic characters’ segmentation with four kinds of handwritten datasets as AHDB, IFN-ENIT, AHDB-FTR and ACDAR. Earlier results showed that the use of EDMS to MLP_ANN gives better results than GLCM and MOMENT in different groups and gives results of EDMS features on MNN with an accuracy level of 95.09% classifier for IFN-ENIT set of data.
The fall of theories and the rise of heroes ? ’-A case study on how organizations structure and produce rational investment decisions

The purpose of this paper aims to explain the production of rationality for organizations and present how managers engage in investment decisions, recognize the underlying factors affecting the decision-making process, and eventually describe how organizations engineer rationality in their investment processes. This paper presents two different industries; manufacturing and investment, and draw upon similarities and differences between them with the ambition to compare the definition and the standardization of rationality in the firms’ investment activities. In order to gain a deeper understanding of the complexities and ambiguities of investment activities, as well as providing an additional dimension to the study, two advisory firms have been interviewed. The study is qualitative in its nature and builds on the concept of performativity, where the practical usage of an aspect of economic theory, not only are used by investment actors, but also shapes investment practices (MacKenzie, 2007). Previous studies on performativity related to decision-making have presented a gap between how actors make sense of these economic assumptions, and to what extent these assumptions are implemented into practice. Furthermore, this study aims to provide new insights and understandings in how normative economic theory becomes infused into investment activities and therefore asserts a practical relevance for decision-making. Finally, this paper, inspire a further discussion on how rationality can be efficiently and accurately produced in the investment process for organizations operating on a globalized market characterized by digitalization, shorter business-cycles and increased competition.
Physiotherapy approaches applied to patients with fibromyalgia: systematic review of clinical trials

Background: Due to the complexity of the fibromyalgic patient’s condition, therapeutic resources are being recruited to manage the signs and symptoms of patients with this disorder. However, the range of options offered hinders the decision-making of therapists, since the approaches are often heterogeneous. Objectives: The objective was to characterize publications on the effects of physical therapy in patients with fibromyalgia and to investigate the main effects of these therapies. Methods: A search was performed between November 2017 and March 2018 by articles published in the databases PEDro, PUBMED and SciELO from the combination of the descriptors “Fibromyalgia” and “Physical Therapy Modalities”. We included clinical trials involving subjects with fibromyalgia and that approached some physiotherapeutic technique in at least one of the intervention groups. Results: A total of 861 studies were identified. Of these, 28 met the eligibility criteria. In addition, 02 studies were included from secondary sources. There was a predominance of studies published in the last nine years, in which the evaluation instruments of the type questionnaires, inventories and scales were used mainly. In addition, it was possible to observe an improvement in outcomes such as pain, quality of life, sleep, general health, functional capacity, balance, anxiety and depression in patients with Fibromyalgia submitted to techniques such as kinesiotherapy, hydrotherapy, electrothermo-therapy, bandages, among others. Conclusions: The evidences found support the use of physiotherapy as a therapeutic resource for patients with Fibromyalgia, since the techniques studied were beneficial in almost all cases. Record PROSPERO: CRD42018087432.
Virtual Reality to Support the Integrated Design Process: A Retrofit Case Study

Virtual Reality (VR) technologies have been used in building design and construction for many years. VR has primarily been applied for design review, worker and end-user training, 3D coordination, marketing, and demonstration. Previous research shows that VR technologies, such as interactive virtual walkthroughs, help the design team effectively convey design ideas, aid in the evaluation of architectural alternatives, and assist in the identification of design errors. Despite the benefits, VR has not yet been widely adopted in actual design practice. This paper examines the use of a VR media and display system in the design process of an energy retrofit project and identifies the benefits and challenges of using VR technologies for the project. The project team had access to an immersive display system throughout the design process. A research team supported the design team with the development of virtual reality solutions. The research team also documented and evaluated the uses of the immersive display system through surveys and case study analysis techniques. The case study shows that using VR tools and an immersive display system makes the design meetings more productive and the reviews more effective, provided the VR models are developed with appropriate level of detail and functionalities. The industry still lacks a general understanding of the benefit and use cases of VR technology. In addition, the lack of expertise in VR tools and VR display systems also impedes the wider adoption of the VR technologies in the current practice.
A First Course in Quantitative Finance

This new and exciting book offers a fresh approach to quantitative finance and utilises novel features, including stereoscopic images which permit 3D visualisation of complex subjects without the need for additional tools. Offering an integrated approach to the subject, A First Course in Quantitative Finance introduces students to the architecture of complete financial markets before exploring the concepts and models of modern portfolio theory, derivative pricing and fixed income products in both complete and incomplete market settings. Subjects are organised throughout in a way that encourages a gradual and parallel learning process of both the economic concepts and their mathematical descriptions, framed by additional perspectives from classical utility theory, financial economics and behavioural finance. Suitable for postgraduate students studying courses in quantitative finance, financial engineering and financial econometrics as part of an economics, finance, econometric or mathematics program, this book contains all necessary theoretical and mathematical concepts and numerical methods, as well as the necessary programming code for porting algorithms onto a computer.
Corporate social responsibility and mining industry in Thailand

Corporate social responsibility (CSR) can create value among stakeholders in both private and public sectors. In the international mining business, CSR concept plays an important role in enhancing relationships among various mining stakeholders. This paper reports on motivations and strategies of CSR by mining companies in Thailand. It argues that the CSR‟s value creation process in Thailand is complex and culturally bound. To understand motivation and types of CSR activities in the mining industry, the researchers used secondary data sources from two mining MNCs. Results show that, similar to CSR in many countries, CSR activities by mining MNCs in Thailand seem to focus on participatory actions, communitarian approach and the promotion of engagement among various stakeholders. The top CSR priorities by mining MNCs in this study include social development and economic promotions.
Odour Abatement of Poultry Litter Using Odour Control Products

Poultry litter is often highlighted to be a major source of odours associated with emissions from poultry production sheds and the post-treatment of used poultry shed litter. The addition of adsorbent to bedding material is often reported as a litter odour management strategy. Three commercial materials (activated carbon, silica gel and zeolite) that are often used as odour control products were tested in odorous litter under controlled environmental conditions. The effectiveness of the adsorbents was determined by chemical and olfactory analysis. In general, the addition of adsorbents did decrease the volatility of volatile organic compounds (VOCs) from the bedding material at dissimilar rates across the abatement trials. However, reduction in hedonic tone was not noticeable, mainly due to the emission of ammonia from the trial bedding material. The results showed that no single odour control product is capable of reducing or removing all the volatiles present in the odour emissions from poultry shed litter.
UAV AND COMPUTER VISION, DETECTION OF INFRASTRUCTURE LOSSES AND 3D MODELING

Abstract. The degradation of buildings, or rather the decline of their initial performances following external agents both natural (cold-thaw, earthquake, salt, etc.) and artificial (industrial field, urban setting, etc.), in the years lead to the necessity of developing Non-Destructive Testing (NDT) intended to give useful information for an explanation of a potential deterioration without damaging the state of buildings. An accurate examination of damages, of the repeat of cracks in condition of similar stress, indicate the existence of principles that control the creation of these events. There is no doubt that a precise visual analysis is at the bottom of a correct evaluation of the building. This paper deals with the creation of 3D models based on the capture of digital images, through autopilot flight UAV, for civil buildings situated on the area of Reggio Calabria. The following elaboration is done thanks to the use of commercial software, based on specific algorithms of the Structure from Motion (SfM) technique. SfM represents an important progress in the aerial and terrestrial survey field obtaining results, in terms of time and quality, comparable to those achievable through more traditional data capture methodologies.
Convolutional Shallow Features for Performance Improvement of Histogram of Oriented Gradients in Visual Object Tracking

Histogram of oriented gradients (HOG) is a feature descriptor typically used for object detection. For object tracking, this feature has certain drawbacks when the target object is influenced by a change in motion or size. In this paper, the use of convolutional shallow features is proposed to improve the performance of HOG feature-based object tracking. Because the proposed method works based on a correlation filter, the response maps for each feature are summed in order to obtain the final response map. The location of the target object is then predicted based on the maximum value of the optimized final response map. Further, a model update is used to overcome the change in appearance of the target object during tracking. A performance evaluation of the proposed method is obtained by using Visual Object Tracking 2015 (VOT2015) benchmark dataset and its protocols. The results are then provided based on their accuracy-robustness (AR) rank. Furthermore, through a comparison with several state-of-the-art tracking algorithms, the proposed method was shown to achieve the highest rank in terms of accuracy and a third rank for robustness. In addition, the proposed method significantly improves the robustness of HOG-based features.
Video-feedback Intervention to promote Positive Parenting and Sensitive Discipline as a new psychological method of development support in Poland

: This article will introduce a new method that has been available in Poland since 2015, based on video recordings, for families with children up to 5 years of age – the Video-feedback Intervention to promote Positive Parenting and Sensitive Discipline (VIPP-SD) (Juffer, Bakermans-Kranenburg, van IJzendoorn, 2008). The authors first discuss the current framework of development support psychology in Poland. Next, there is a review of methods based on video training. General information about the VIPP-SD intervention program is presented in the following part of the paper, focusing on international evidence-based studies supporting the effectiveness of the method. The need for a cultural adaptation and implementation of the VIPP-SD program in Poland is outlined.
Nonlinear travelling waves in energetic particle phase space

An exact nonlinear solution is found for long-time behaviour of spontaneously formed phase space clumps/holes in dissipative plasmas with a population of energetic particles. This solution represents a Bernstein–Greene–Kruskal mode with slowly varying shape and velocity. It describes a continuous transformation of a plasma eigenmode excited just above the instability threshold into an energetic particle mode with a significantly different frequency. An electrostatic bump-on-tail instability is chosen to illustrate the analysis. However, generality of the resonant particle dynamics makes the described approach applicable to other resonance-dominated instabilities, including rapid frequency-sweeping events for Alfvénic modes in tokamaks.
The Effects of Damper Location on the Retrofit of Steel Buildings under Blast Loading

Thin-walled tubes might be considered as the simplest and, probably the oldest, type of dampers used in energy-absorbing systems. This paper investigates the effect of thin-walled accordion metal dampers and their arrangement in the frame on the behavior of steel frames against blast loading. For this purpose, one-bay frames with either one or four stories, and in both cases of with and without dampers, have been analyzed in ABAQUS software under two different blast intensity conditions. Results demonstrate that using such dampers would improve frame displacement to a large extend (up to 98% for one-story frame and 64% for four story frame), especially during an intensive blast. Furthermore, local Plastic deformations of the frame would be reduced by locating the dampers in points with large deformations. Review History: Received: 8 March 2016 Revised: 12 February 2017 Accepted: 20 February 2017 Available Online: 15 April 2017
Design of DSTATCOM Controller for Compensating Unbalances

In a three phase power system, the voltages at the generation side are in sinusoidal and equal in magnitude with 120? phase difference between the phases. However, at the load side voltages may become unbalanced due to unequal voltage magnitudes at the fundamental frequency, phase angle deviations or unequal distribution of single phase loads. The voltage unbalance is a major power quality issue, because a small unbalance in the phase voltages can cause a larger unbalance in the phase currents. A completely balanced three-phase three wire system contains only positive sequence components of voltage, current and impedance, whereas unbalanced system contains both positive and negative sequence components of voltages and currents. The negative sequence component of current in the unbalanced system increases the temperature and losses in the equipments. Hence, it is necessary to mitigate this problem by supplying the negative sequence current to the load at the load side and keep the source side balanced. This paper proposes the shunt connected, current injecting Distribution Static Synchronous Compensator (DSTATCOM) with appropriate controller to mitigate the unbalanced load current. The symmetrical components based Hysteresis Current Controller (HCC) is designed for DSTATCOM to diminish the unbalances in a three-phase three-wire system. The performance of the controller is studied by simulating the entire system in the MATLAB/Simulink environment. The DSTATCOM with HCC is found to be better than other controllers because it is suitable for compensating both balanced and unbalanced loads.
Comparison of Accuracy in Cardiopulmonary Resuscitation(CPR) between Group with Verbal Order and Group with Non-Verbal Order in Operation of CPR

Abstract The purpose of this study is to increase efficiency and accuracy in operation of CPR(CardiopulmonaryResuscitation) through comparing accuracy in CPR between group with verbal order and group with non-verbal order given carrying out CPR. This study performed convenience sampling targeting 62 students(31 people for group with non-verbal order, 31 people for group with verbal order) at university where is located in G Province. Survey period was carried out from October 7, 2010 to October 21. Analytical method was made by using SPSS WIN(Version 12.0). As a result of research, the group with non-verbal order was indicated to be higher in accuracy of CPR on artificial respiration and chest compression in several spheres than the group with verbal order. Based on this, the non-verbal order method needs to try to be applied to performing education and skills of CPR in the future. And, even a continuous research is needed on effectiveness between verbal order method and non-verbal order method in an emergency situation.
Impact of Ex-Ante Access to Microfinance on the Coping Strategies to Cope with Monga of Poor Households in North-Western Bangladesh

Bangladesh is a highly natural hazard prone country. Rural households are vulnerable to a range of climate-related natural hazards such as floods, cyclones, riverbank erosion, drought, storm surges, and tornados. In north-western parts of the country, almost every year they face seasonal (September-November) hardship in the form of a near famine situation, which is termed as monga. To cope during monga, poor households adopt various strategies including advance labor sale, asset sale, informal borrowing and internal migration. This paper evaluates the impact of ex-ante access to microfinance on these coping strategies, using switching regression to control the unobserved selection bias in deciding to be a member of a microfinance scheme. The analysis reveals that the dependence on these coping strategies is significantly lower for households with ex-ante access to microfinance than those without. These observations are particularly pertinent to the development of adaptation strategies, as poor households in north-western areas of Bangladesh are experiencing increasingly drier weather associated with climate change.