Miracle-dz/UniFAR-FTUs huggingface dataset:
VULNERABILITY ANALYSIS FOR THE INTEGRATED COASTAL ZONE MANAGEMENT PLAN OF THE CITY OF KAŠTELA IN CROATIA

One of the objectives of the Integrated Coastal Zone Management (ICZM) is to prevent and reduce the effects of natural hazards, particularly ones caused by climate changes. The ICZM methodologies include use of geographic information systems, from data collection and geo-analysis to dissemination of information to the public. As a part of the Interreg MED Co-evolve project cofinanced by the European regional development fund, the ICZM based action plan is being developed for the City of Kaštela in Croatia. Activities include assessing coastal vulnerability to climate change, focusing on sea flooding and storm damages and related socio-economic vulnerabilities. The paper presents development of large scale vulnerability analysis, adopted from the methodologies developed for mid and small scales. Suitability of the available data is assessed, either official or open source, and data gaps are described. The analysis’s results are presented in terms of the assets exposed to coastal flooding and storms, and future improvements of analysis towards house level vulnerability analysis is envisaged.
Fudan Team at TRECVID 2014: Multimedia Event Detection

In this notebook paper, we describe the submissions of Fu-dan Team to the Multimedia Event Detection task for TRECVID 2014. Our system exploits popular low-level descriptors to capture visual appearance, motion and audio information from a video clip. In addition, it also incorporates the high-level semantic feature generated by a Convolutional Neural Network pre-trained on ImageNet. We performed classi-ﬁcation with SVMs. We submitted results for the full MED14 evaluation in two (010Ex and 100Ex) training conditions.
Helping novices explore data: facilitating mental model creation of an information visualization system by displaying information flows

Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration.
SPCDet: Enhancing Object Detection with Combined Feature Fusing

Feature pyramid and feature fusing are widely used in object detection. Using feature pyramid can confront the challenge of scale variation across diﬀerent objects. Feature fusing imports context information to improve detection performance. Although detecting with feature pyramid and feature fusing has achieved some encouraging results, there are still some limitations owing to the features’ level variance among diﬀerent layers. In this paper, we exploit that serial-parallel combined feature fusing can enhance object detection. Instead of detecting on the feature pyramid of backbone directly, we fuse diﬀerent layers from backbone as base features. Then the base features are fed into a U-shape module to build local-global feature pyramid. At last, we use the pyramid to do the multi-scale detection with our combined feature fusing method. We call this one-stage detector SPCDet. It keeps real time speed and outperforms other detectors in trade-oﬀ between accuracy and speed.
DIRECT NUMERICAL SIMULATION OF SPATIALLY DEVELOPING SUPERSONIC TURBULENT BOUNDARY LAYER FOR SKIN FRICTION DRAG REDUCTION

Direct numerical simulation of supersonic turbulent boundary layer with uniform blowing from the wall is performed aiming at skin friction drag reduction. The free-stream Mach number, M∞ is set to be M∞ = 2.0 or 1.5. The Reynolds number based on the free-stream velocity, density, viscosity and the 99% boundary layer thickness at the inlet is the set to be 7800 (at M∞ = 2.0 ) or 6000 (M∞ = 1.5) and the Prandtl number is 0.72. A constant temperature is imposed on the wall by using the Crocco-Buesmann (Xu & Martin, 2004) approximation. The amplitude of uniform blowing is 0.5% of the free stream velocity. As a result of uniform blowing, 47% of drag reduction rate was achieved. Similarly to incompressible spatially developing turbulent boundary layer with uniform blowing (Kametani & Fukagata, 2011), the blowing blows away vortices near the wall and enhances turbulence above the wall. In addition, in the compressible turbulent boundary layer with constant wall-temperature, the local Reynolds number is found to decrease in the boundary layer.
Effects of F-values on the Quality and Shelf-life of Samgyetang Packed in a Multilayer Plastic Tray during Storage at 25°C

The effects of F-value level (4.0 and 7.0) on the quality of Samgyetang soup packed in a multilayer plastic tray were investigated during storage at 25°C for 6 months. Over the storage period, pH and springiness values of samples were reduced, while TBARs, VBN, carbonyl contents, viscosity and hardness values increased. Samples treated with an F-value of 4.0 showed generally better quality characteristics than those with an F-value of 7.0 during storage. The sensory scores showed that retorted Samgyetang soups treated under F values both of 4.0 and 7.0 could maintain marketable quality for a minimum of 6 months. Key words— quality, shelf-life, Samgyetang, F-value, tray
System for Diagnosing Concrete Deterioration with Spectroscopic Analysis

TODA Katsuya : Doctor of Engineering, Manager, Engineering Headquarter, Research & Development Department, IHI Infrastructure Systems Co., Ltd. NAKAMURA Yoshihiko : P. E. Jp, Manager, Engineering Headquarter, Research & Development Department, IHI Infrastructure Systems Co., Ltd. KURATA Takao : Manager, Fundamental Research and Engineering Department, R&D Technology Center, Corporate Research & Development
ITC: Infused Tangential Curves for Smooth 2D and 3D Navigation of Mobile Robots †

Navigation is an indispensable component of ground and aerial mobile robots. Although there is a plethora of path planning algorithms, most of them generate paths that are not smooth and have angular turns. In many cases, it is not feasible for the robots to execute these sharp turns, and a smooth trajectory is desired. We present ‘ITC: Infused Tangential Curves’ which can generate smooth trajectories for mobile robots. The main characteristics of the proposed ITC algorithm are: (1) The curves are tangential to the path, thus maintaining G1 continuity, (2) The curves are infused in the original global path to smooth out the turns, (3) The straight segments of the global path are kept straight and only the sharp turns are smoothed, (4) Safety is embedded in the ITC trajectories and robots are guaranteed to maintain a safe distance from the obstacles, (5) The curvature of ITC curves can easily be controlled and smooth trajectories can be generated in real-time, (6) The ITC algorithm smooths the global path on a part-by-part basis thus local smoothing at one point does not affect the global path. We compare the proposed ITC algorithm with traditional interpolation based trajectory smoothing algorithms. Results show that, in case of mobile navigation in narrow corridors, ITC paths maintain a safe distance from both walls, and are easy to generate in real-time. We test the algorithm in complex scenarios to generate curves of different curvatures, while maintaining different safety thresholds from obstacles in vicinity. We mathematically discuss smooth trajectory generation for both 2D navigation of ground robots, and 3D navigation of aerial robots. We also test the algorithm in real environments with actual robots in a complex scenario of multi-robot collision avoidance. Results show that the ITC algorithm can be generated quickly and is suitable for real-world scenarios of collision avoidance in narrow corridors.
Mutual Fund Performance and Families

Using a large and long sample of US and European mutual funds we examine the impact that the membership of a fund family has on performance. We test for strategic and competitive behaviour among family funds and whether this affects performance persistence and risk taking behaviour. We find no conclusive evidence of stronger performance persistence among family funds versus non-family funds, although we do find some significant differences in the future performance of portfolios of family and non-family funds formed on the basis of past performance. However, we do provide strong evidence to suggest that a fund’s mid-year ranking within its family affects its risk over the remainder of the year and, most interestingly, that family mid-year rankings have a different impact in the US mutual fund industry than it does in its European equivalent. Among US funds, the results point to intra-family competition where mid-year losers increase risk by more than mid-year winners in an attempt to catch up. The opposite is found to be true for European family funds. Our results therefore highlight significant differences in the ways in which the US and European fund management industries operate. JEL classification: G02, G11, G15.
Draft A framework for Building Information Modeling implementation in 10 engineering education

13 Universities are facing many challenges to their efforts to introduce Building 14 Information Modeling (BIM) in engineering education. Many research efforts have been 15 dedicated to the subject and addressed some specific aspects of the issue. Thus, there is 16 no comprehensive framework to provide decision makers with practical and neutral 17 guidelines. The framework proposed in this paper identifies the main challenges to 18 address. A case study from a Canadian engineering school is used to evaluate and to 19 validate the proposed framework, and to illustrate the challenges. The strategy of 20 integrating BIM in engineering education should be based on the specific skills the 21 students are expected to acquire. It is then possible to define the appropriate teaching 22 approaches. An effective implementation strategy should be gradual in order to 23 progressively raise community awareness, learn from mistakes and identify best 24 practices. A particular emphasis should be placed on the needs of the local industry. 25
Does Winning an Award Matter to Brand Trust and Purchase Intention? Evidence from Franklin Templeton Investments

This research takes Franklin Templeton Investments as an example to investigate the relationships between brand awareness, brand image, brand trust, perceived quality, and purchase intention. Using random sampling, we administered the questionnaires to investors living in Taiwan from February 1, 2015 to May 31, 2015.The research findings show that brand awareness has both significantly direct and indirect effects on brand trust, and the indirect effects are mainly via brand image and perceived quality. However, brand image, perceived quality and brand trust also have a significantly direct effect on purchase intention, andboth brand image and perceived quality have an indirect effect on purchase intention via brand trust.
Volunteer Motivations Scale for International Sporting Events : Translation and Initial Validation of the Portuguese Version

Aim The volunteering is in many manifestations, one in special are the sport events, where the volunteers are essential to the organization. The volunteers are such in megaevents how in small events working with different areas, in Brazil the volunteering in sport events is still insipient with low scientific literature, the area of organizations probably need create strategies to retain the volunteers and it can use the motivational differences. Thus, the aim of our research was to determine the cross-cultural adaptation of the Brazilian version of the VMS-ISE.
Review : Post-renal transplant compliance

■ A selective review was undertaken to identify factors which may affect a child's compliance with immunosuppressive therapies, post-renal transplant. ■ Studies were categorised as either examining compliance from an experiential or selective attribution approach. ■ There are multiple reasons for non- compliance. ■ Children and families require much more support than previously recognised.
Sustainable method for Alzheimer’s prediction in Mild Cognitive Impairment: EEG connectivity and graph theory combined with ApoE

Mild cognitive impairment (MCI) is a condition intermediate between physiological brain aging and dementia. Amnesic-MCI (aMCI) subjects progress to dementia (typically to Alzheimer-Dementia=AD) at an annual rate which is 20 times higher than that of cognitively intact elderly. The present study aims to investigate whether EEG network Small World properties (SW) combined with Apo-E genotyping, could reliably discriminate aMCI subjects who will convert to AD after approximately a year. 145 aMCI subjects were divided into two sub-groups and, according to the clinical follow-up, were classified as Converted to AD(C-MCI, 71) or Stable(S-MCI, 74). Results showed significant differences in SW in delta, alpha1, alpha2, beta2, gamma bands, with C-MCI in the baseline similar to AD. Receiver Operating Characteristic(ROC) curve, based on a first-order polynomial regression of SW, showed 57% sensitivity, 66% specificity and 61% accuracy(area under the curve: AUC=0.64). In 97 out of 145 MCI, Apo-E allele testing was also available. Combining this genetic risk factor with Small Word EEG, results showed: 96.7% sensitivity, 86% specificity and 91.7% accuracy(AUC=0.97). Moreover, using only the Small World values in these 97 subjects, the ROC showed an AUC of 0.63; the resulting classifier presented 50%sensitivity, 69%specificity and 59.6%accuracy. When different types of EEG analysis (power density spectrum) were tested, the accuracy levels were lower (68.86%). Concluding, this innovative EEG analysis, in combination with a genetic test (both low-cost and widely available), could evaluate on an individual basis with great precision the risk of MCI progression. This evaluation could then be used to screen large populations and quickly identify aMCI in a prodromal stage of dementia. This article is protected by copyright. All rights reserved A cc ep te d A rti cl e
Agile, Web Engineering and Capability Maturity Model Integration: A systematic literature review

Context: Agile approaches are an alternative for organizations developing software, particularly for those who develop Web applications. Besides, CMMI (Capability Maturity Model Integration) models are wellestablished approaches focused on assessing the maturity of an organization that develops software. Web Engineering is the field of Software Engineering responsible for analyzing and studying the specific characteristics of the Web. The suitability of an Agile approach to help organizations reach a certain CMMI maturity level in Web environments will be very interesting, as they will be able to keep the ability to quickly react and adapt to changes as long as their development processes get mature. Objective: This paper responds to whether it is feasible or not, for an organization developing Web systems, to achieve a certain maturity level of the CMMI-DEV model using Agile methods. Method: The proposal is analyzed by means of a systematic literature review of the relevant approaches in the field, defining a characterization schema in order to compare them to introduce the current state-of-the-art. Results: The results achieved after the systematic literature review are presented, analyzed and compared against the defined schema, extracting relevant conclusions for the different dimensions of the problem: compatibility, compliance, experience, maturity and Web. Conclusion: It is concluded that although the definition of an Agile approach to meet the different CMMI maturity levels goals could be possible for an organization developing Web systems, there is still a lack of detailed studies and analysis on the field.
Improvement of Subthalamic Nucleus Deep Brain Stimulation in Sleeping Symptoms in Parkinson's Disease: A Meta-Analysis

Introduction The aim of this meta-analysis was to evaluate the effects of STN DBS on sleep quality and restless leg symptoms in individuals with PD. Methods We searched the PubMed, Web of Science, EMBASE, CNKI, and WANFANG databases published between 1990 and 2019. The articles included were those that contained both pre- and postsurgery data acquired using International RLS Study Group criteria and the Pittsburgh sleep quality index (PSQI) questionnaire with patients' follow-up of at least three months. All studies that met the quality requirements were included in a meta-analysis performed using STATA 12.0 software. Results Of 73 articles identified, 7 studies comprising 82 patients were qualified for the current meta-analysis. After adjusting for heterogeneity in study effect sizes, the random effects meta-analysis indicated that STN DBS improved sleep quality and restless leg symptoms significantly (SMD = −1.111, 95% CI: −1.918∼−0.304, P=0.007). Subgroup analysis showed that different sleep scoring criteria had different effects on the condition of sleeping after surgery. Conclusions STN DBS is a powerful method in the management of sleep quality and restless leg symptoms in PD patients, but its long-term effects with larger populations must be thoroughly assessed.
Does Infrastructure Facilitate Social Capital Accumulation? Evidence from Natural and Artefactual Field Experiments in Sri Lanka

While social capital is recognized essential for economic activities, its accumulation mechanisms are largely unexplored. We investigate the impact of infrastructure on social capital accumulation. We use unique dataset from an irrigation project under a natural experimental situation where a significant portion of irrigated land was distributed through a lottery mechanism. Also, we capture the level of social capital using artefactual field experiments. By combining these two datasets, we find that physical distance embedded by construction of irrigation system explain the trust across irrigation communities. Yet, within-community variation in social capital is driven largely by the years of access to the irrigation and not necessarily affected by social distance between farmers, suggesting that social preference emerges from institutional environment by physical access to irrigation.
The Effect of Audit Quality and Enforcement of Accounting Standards on Goodwill Impairment Avoidance

Under IFRS, goodwill must be tested for impairment at least annually. An impairment must be recognized if the cash generating unit’s (CGU) recoverable value to which goodwill has been allocated falls below its net book value. The recoverable value of CGUs is a subjective estimate difficult to verify by outsiders. Empirical evidence indicates that managers delay or avoid the recognition of goodwill impairment in their books. Under IAS 36, managers have two possibilities to increase the recoverable value of CGUs in order to support the avoidance of goodwill impairment: (1) choosing overly optimistic valuation assumptions (e.g., discount rate, revenue growth, terminal growth rate), (2) engaging in cash flow-increasing real activities. We argue that audit quality and enforcement of compliance with accounting standards affect the relative use of these two strategies. Using an international sample of listed firms reporting under IFRS, we examine the effect of the quality of audit and the strength of enforcement of compliance with accounting standards on goodwill impairment avoidance. We hypothesize and find that firms in high audit quality and high enforcement countries are more likely to rely on cash flow increasing real activities to avoid reporting goodwill impairment than firms in low audit quality and low enforcement countries. We also show that cash flow increasing real activities related to goodwill impairment avoidance are detrimental to future performance. Our results are of interest to investors, standard setters and regulators.
Variational Beauty of Space: Machine Intuition and Non-Linear Neural Aggregations

Spatial networks have long been known for their internal spatial order or beauty (Hillier, 2007) and in the field spatial computation and analytics we employ a number of graph based methodologies in order to understand or extract intrinsic attributes of the urban fabric around us. In this research we take a complete different approach by looking at urban structure through the use of deep convolutional variational autoencoders with interesting results. // Autoencoders are an unsupervised learning technique in which we employ neural networks for the task of representation learning. Specifically, a neural network architecture imposes a bottleneck in the network which forces a compressed and generalization of the knowledge representation of the structure of space. This non-linear compression and subsequent reconstruction creates a unique set of features that are inherent of urban space. Our network is multiple layers deep in order to be able to encode basic spatial complexity and is build based on a convolutional network architecture which is inspired by biological processes similar to the connectivity pattern between neurons that resembles the organization of the animal visual cortex. Artificial neurons respond to real urban networks of London in a restricted region of the visual field, which partially overlap such that they cover the entire convolutional visual field. Convolutional layers apply a convolution operation to the input, passing the result to the next layer. Each convolutional neuron processes data only for its receptive field but the cascading nature of our network build a knowledge of more complex spatial relations as data move deeper. While convolutional neural networks are extensively used in supervised image classification the work presented in this papers is completely unsupervised. // In this paper we present the complete architecture of the deep convolutional network that was trained for months using data from the city of London, concluding with two significant outcomes extracted from the variational encoding and decoding processes. A non-linear clustering, or neural aggregation, of urban space based on the learned features and a generative urban network output based on the variational synthesis we call machine intuition.
Relationship between Entrepreneurial Orientation and Innovation: the Mexican Small Business Context

An extremely turbulent environment such as the one in which enterprises participate, especially small and medium-sized ones (SMEs), is mostly characterized by radical changes regarding technology, the development of new products, management processes and systems in order to adapt as fast as possible products to the changing interests and preferences of clients and consumers as well as the demands of the market. In this regard, SMEs have to redirect or adopt and implement new business strategies that allow them to obtain the abilities and skills to survive in a highly globalized and competitive market. That is why the entrepreneurial orientation and innovation are two of the business strategies that are getting many followers in the current literature. Thus, the main objective of this research is to analyze the existing relation between entrepreneurial orientation and innovation. The results obtained show that there is a significant positive relation between entrepreneurial orientation and innovation.