Abstract
The university-enterprise (U-E) relationship is a topic that has gathered much interest in the academic world. Universities seek to offer services and technology that help firms to build and foster a harmonious U-E relationship, allowing firms to continually renew their involvement in the relationship. This chapter seeks to analyze the role played by various factors-satisfaction, commitment as perceived by firms, perceived commitment by universities, trust, and reputation-in encouraging firms to continuously renew their involvement in the university relationship. A questionnaire was produced drawing on a literature review looking at U-E relationships, the results of which were then analyzed using partial least squares - structural equation modelling (PLS-SEM). Afyer analyzing 80 responses from firms involved in U-E relationships, it was possible to conclude that commitment of firms, reputation, and the perceived commitment of the universities are very important in the continuous participation of firms in U-E relationships. © 2018, IGI Global.

Abstract
Online distance learning introduces several challenges, such as the dependence of online tools, the asynchronous communication between teachers and students, and the lack of synchronous social engagement level that inclassroom teaching can leverage. The existence of an online tutor 24 hours/day would be an interesting asset to potentially work as an additional learning support tool. The Virtual Tutoring project aims at the development of solutions involving anthropomorphic 3D avatars that work as both virtual online tutors in the Moodle e-learning platform as well as coaches in a mobile application that interact empathically with the students by predicting their emotional state and selecting appropriate emotion regulation strategies. This paper presents the current status of the project, preliminary evaluations with students, and future developments.

Abstract
Purpose The purpose of this study is to determine whether new rural ventures represent effective rural entrepreneurship or are just entrepreneurial ventures located in rural settings. Design\methodology\approach Data were collected from a direct questionnaire involving 408 new ventures headquartered in Portuguese business incubators and science parks, of which 142 are located in rural areas. To analyse data, the authors performed a preliminary and exploratory statistical analysis. Findings The authors demonstrate that only a small percentage of ventures operating in rural areas constitute examples of effective rural entrepreneurship, with the bulk of them being just enterprises located in rural settings. Rural new ventures tend to be small (in terms of employees and turnover), rely mainly on the internal market and lag behind other new ventures (located in both rural and urban municipalities) in terms of performance. Research limitations/implications The study only includes new knowledge-intensive ventures, that is, those headquartered in business incubators and science parks. Therefore, it cannot be generalised to other new ventures located in rural settings. Originality/value The extant literature on entrepreneurship has neglected the empirical implications of mixing, confounding and/or merging the concepts of rural entrepreneurship and entrepreneurship activities in rural areas. In this study, the authors discuss and analyse the empirical boundaries of such concepts and uncover the magnitude of pure rural entrepreneurship.

Abstract
Breast cancer is one of the leading causes of female death worldwide. The histological analysis of breast tissue allows for the differentiation of the tissue suspected to be abnormal into four classes: normal tissue, benign tumor, in situ carcinoma and invasive carcinoma. Automatic diagnostic systems can help in that task. In this sense, this work propose a deep neural network approach using transfer learning to classify breast cancer histology images. First, the added top layers are trained and a second fine-tunning is done on some feature extraction layers that are frozen previously. The used network is an Inception Resnet V2. In order to overcome the lack of data, data augmentation is performed too. This work is a suggested solution for the ICIAR 2018 BACH-Challenge and the accuracy is 0.76 in the blind test set.

Abstract
This paper simulates an islanding network including wind turbine, battery energy storage systems (BESS), and load. The purpose is to control voltage and frequency of the load following wind speed variations by proper control of BESS. A decentralized control scheme including two control loops is designed on BESS. One control loop is implemented for voltage regulation and the other loop is designed for frequency control. Both loops are equipped with PI (Proportional-Integral) type controllers as internal controllers. Furthermore, both loops are equipped with supplementary stabilizers as external controllers. The internal controllers regulate frequency and voltage and the external stabilizers enhance stability. This paper optimally tunes all the parameters of internal controllers and external stabilizers at the same time. The problem for tuning a large number of the design variables is mathematically expressed as a mixed integer nonlinear optimization programming and solved by modified-adaptive PSO technique. The proposed methodology is simulated on a typical standalone network including wind turbine, BESS, and load. The accurate model of BESS and wind turbine is incorporated to cope with real conditions. Moreover, in order to demonstrate the real-world results, non-linear time domain simulations are carried out in MATLAB software. The results verify that the proposed control scheme can efficiently utilize BESS to control voltage, regulate frequency, and damp out oscillations under wind and load variations.

Abstract
This study aims to build and test a theoretical model of tourist nostalgia (nostalgia proneness and food nostalgia) and seeks to explore the gender differences regarding how tourists feel their nostalgia towards food, and if it impacts in the global experience of the event. Survey data were collected in a gastronomic event, from 400 visitors. Two research models grounded on gender-female and male-highlighted the predictive role of food. Surprisingly, the all-purpose nostalgic proneness construct had a very limited impact. The newly developed construct (food nostalgia) was able to capture complex multidimensional visitor's experiences in both male and female models, whereas the broadspectrum measure of nostalgia expressed a higher propensity of nostalgia feeling among men. The managerial implications comprise market segmentation strategy, the definition of specific nostalgia triggers associated with traditional food as attributes to promote the event, and a festivalscape environment designed to express those triggers. © 2018 Cognizant, LLC.