Reviewerly/exHarmony huggingface dataset:
Human-centric Service Co-Innovation in Hospitality: A practice-based view

Innovation is an important determinant for economic survival and growth in the hospitality industry. As a highly human-centric industry, service providers and customers as users join forces to co-innovate. By using their needs, experiences and knowledge as the sources of innovation in a human-centric service innovation approach, the developed outcomes are more relevant to the various stakeholders. However, there is a lack of understanding of the practices that shape these innovations. This study applies a directed content analysis to secondary qualitative data available online to uncover relevant and successful practices. It is found that firms personalise the service offerings to individual customers given their feedback and complaints. These customers also inform the deliberation of service standards. Feedback is further gathered from groups of users to co-innovate new service concepts or develop new ways of service delivery. As such, novel services are made fit with other service offerings and/or the lives for the targeted customers. Contributions from the collective of users are collected in- person, through surveys or online. The application of artificial intelligence to evaluate the feedback data is highlighted. Moreover, hospitality firms encourage customers to raise their voices for societal benefit, reflected through consumer behaviour trends and the promotion of sustainability, or the benefit of an internal community of stakeholders. Lastly, research and development in laboratories, testbeds or incubator spaces are found to play a critical role in hospitality innovation strategies. (Less)
New Branching Filters With Explicit Negative Dependence

Particle filters are used to solve nonlinear filtering problems. We focus on the sampling step of a particle filter and present new algorithms that introduce explicit negative dependence between the number of particles reassigned at each location, with the goal of improving the performance of the filtering algorithm. We review partial and complete sampling in the context of both interacting and branching filters, that is, when the number of particles stays constant through all steps and when it does not. In particular, we use the quick simulation field algorithm to reproduce the variance structure induced by the minimal variance filter and create a new filtering algorithm. A numerical example is used to assess the performance of the new algorithms.
Analysis of algebraic and geometric distances for projective transformation estimation

Estimation of projective transformations is an essential process in modern vision-based applications. Usually, the provided experimental point correspondences required to estimate the projective transformations are corrupted with random noise. Thus, for an accurate estimation of the actual projective transformation, a robust optimization criterion must be employed. In this work, we analyze a two-step estimation approach for robust projective transformation estimation. First, the algebraic distance is employed to obtain an initial guess. Then, the geometric distance is used to refine this initial guess. Three geometric-based refining methods are evaluated, namely, the one-image error, the symmetric-transfer error, and reprojection. The obtained results confirm a high accuracy and robustness of the analyzed approach.
Research on the Beijing Academic Library and Information System

The Beijing Academic Library & Information System (BALIS) is the largest regional university library alliance (RULA) in Beijing, which has 90 member libraries, covering almost all university libraries (UL) in Beijing.It was founded in 2007, through more than ten years of development, which has formed a certain business scale.Its services mainly cover six aspects: document delivery (DD), interlibrary loan (ILL), group procurement, joint consulting, business training and technical support.BALIS is the representative of the development of Chinese RULA.The ten years of rapid development of BALIS are also the ten years of rapid development of the RULA.Through researching on it, the construction ideas (CI), organizational structure (OS), and operation methods (OM) of RULA in China can be well revealed.Therefore, this article adopts the method of case analysis, in order to grasp the development context and law of China's RULA changes through the analysis of BALIS.
Media Education As An Anti-Fake Factor

The article is devoted to the possibilities of media education in the fight against the informational challenge of our time - fake news. Fake news can damage both the reputation of an individual object (politics, brand, organization), and destabilize the situation in the whole country or even in the world. Fake news is not a new phenomenon, however, in the modern world, the increasing role of the media is a particular danger. Fake is not always a weapon in the information war: the emergence of fake news is often associated with unprofessionalism of journalists, while the lack of media literacy of the recipients does not allow to recognize the fake even with its obvious signs. Fake news appears both in world and all-Russian media, and in regional media projects and is associated with various pressing socio-political topics. Around the world today, an active search is being conducted for effective methods of combating fake news, which, first of all, include technological developments, legislative initiatives and media education of the population. The article emphasizes that media education is the most important factor in the fight against fake news and highlights the relevant aspects of media education. Moreover, media education is understood both as a process of professional development of a journalist, including a technological one, and as a process of personal development of his addressee with the help of and on the material of media formats.
Does aid stimulate foreign direct investment? The role of social cohesion

We explore the effects of foreign aid on FDI in a large number of aid-recipient countries using data for the period 1985-2008 and focusing in particular on the impact of the interplay of aid and social cohesion. The preliminary results suggest that the independent effect of aid on FDI is negative in sub-Saharan Africa (SSA) and Latin America (LAC) and positive in other regions, while aid seems to crowd out FDI in countries with high levels of human capital. In addition, we find that the interplay of aid and social cohesion in SSA and LAC has an inverted-U relationship with FDI, suggesting diminishing returns to social cohesion in these two regions.
Spatial Reasoning about String Loops and Holes in Temporal ASP

This paper introduces a new formalism for the automated solution of spatial scenarios involving strings and holed objects. In particular, we revisit a previous formalisation that allows string loops to be treated as holes, but make a substantial modification by removing a previous limitation that prevented a string to cross its own loops. The formalisation introduced in the present paper relies on string segments as basic entities and achieves a greater degree of elaboration tolerance by using inertia to describe those parts of the physical scenario that are unaffected by a given action. As a representation language, we have used Temporal Answer Set Programming since it provides a simple and natural way to deal with time and inertia while, at the same time, it is accompanied by the automated tool 'telingo' that allows a systematic testing of the effects of any sequence of actions. As an illustrative example, we have studied the African Ring puzzle, a problem involving loops crossed by a unique string, and provided the first formalisation of its solution, to the best of our knowledge.
Care4HIP: An Embedded System Design for Discerning Hear-Impaired People in Traffic

Embedded systems are designed for many different applications including navigation, thief warning, smart home, tracking. We designed an embedded system, Care4HIP, Care for Hearing Impaired People, which presents a solution for discerning the hear-impaired people in traffic. Our solution aims that drivers will be able to notice the hear-impaired people. Care4HIP calculates the locational information of these people which close to the vehicle and determines the direction of these people with respect to the vehicle. Location information refers to the latitude and longitude data of each person's location. The proposed system involves server, mobile and embedded system based applications. We think that Care4HIP offers an original and practical solution with minimal overhead for hear-impaired people.
Crisis Of Liberal Meanings Of Contemporary Education

The article presents the issue of impact of neoliberal ideas on the contemporary Russian educational theory and practice. The Russian system of education fully demonstrates the processes of transformation of education from a field of spiritual culture into the socio-cultural system aimed at the investing into the human capital. The authors see the roots in the contradictory methodological orientation of the construct of the Russian social modernization after the collapse of the USSR. It is underlined that the influence is caused by the absence of clear ideology in the post-Soviet Russia, destruction of the previous value system, neglecting the cultural and historic traditions, uncritical assimilating the Western pedagogical experience. The paper examines the realization of the neoliberal narratives (freedom, self, educational services, competition, technologization) in the contemporary Russian education. The authors show the emergence of the criticism ‘points’ of neoliberal education in the Western pedagogical community as well. First of all, unacceptability of education capitalization, introduction of competition, dehumanization of a person as an educational services consumer is realized. One can see that in the USA and the Western Europe there appear the objective tendencies of rejection of the neoliberal globalism values and the development of the traditionalist paradigms of education. The paper stresses the necessity of the scientific analysis and professional pedagogical reflection on the significant contradictions, which show the crisis of neoliberal developments in the Russian education.
Investigation of Sun Tracking Solar Photovoltaic Power Plant for the Analysis of Improved Efficiency with respect to Static Solar Power Plant

In this paper the results shown for tracking system developed and designed for the performance analysis of SPV power plants with tracking concept. The comparative results presented in the result section. In the result analysis it can be seen that the efficiency of solar photo voltaic generation can be increased by 35% in azimuthal tracking system.
Hybrid Approximate Convex Hull One-Class Classifier for an Industrial Plant

This work is focused on the study of hybrid one-class classification techniques, used for anomaly detection on a control level plant. The initial dataset is obtained from the system, working at different operating points, corresponding to three opening degrees of the tank drain valve. The issue of working in different plant configurations is solved through a hybrid classifier, achieved using clustering algorithms combined with a one-class boundary method. The hybrid classifier performance is trained, tested and validated by creating real anomalies changing the drain valve operation. The final classifier is validated, with an AUC value 90.210%, which represents a successful performance.
Study of the Reconciliation Mechanism of NewHope

The latest advances in quantum computing forced the NIST to launch an initiative for selecting quantum-resistant cryptographic algorithms. One of the best-known proposals is NewHope, an algorithm that was initially designed as a key-exchange algorithm. In its original design, NewHope presented a reconciliation mechanism that is complex and represents an entry barrier for potential implementers. This contribution presents equivalent schemes in one, two, and three dimensions, which allow anyone to make the transition to the four-dimension NewHope algorithm easier to undertake.
THE IMPLEMENTATION OF JIGSAW IN TEACHING ESP SPEAKING FOR ACCOUNTING DEPARTEMENT IN UNIVERSITY OF MUHAMMADIYAH LAMONGAN

Speaking is a part of spoken and productive skills. In oral communication, the speakers and listeners are actively involved in the message. The speakers transfer a message in the appropriate language, and listeners have to interpret the message. Brown (2004) defines speaking as a productive skill that can be directly and empirically. In teaching speaking, lecturers should have a proper technique to enhance the students to be more active in the speaking class. Therefore, teachers need some appropriate techniques face that condition. Jigsaw is one of cooperative learning method that will help the students gain the information not only by reading the materials, but also sharing and discussing with their friends. Jigsaw consists of several groups, in which every group consists of several students who have various in ability, gender, religion and race. The purpose of this study was to describe the implementation of Jigsaw, the supporting factors in Jigsaw, and the teacher’s obstacles in implementing Jigsaw. In conducting this study, the writer applied descriptive qualitative research as the research design because it described the phenomena that exist in the Jigsaw implementation. The data are collected in the form of words. The reseacher used observation and interview to gain the data. Based on the result that concluded, there were 3 important points. First, choosing material, making lesson plan, organizing Jigsaw in classroom, giving quiz, and evaluating were the steps in implementing Jigsaw for speaking class. Then supporting factors were media, professional teacher, situation surround the class, material, student’s motivation, and class management. Third, limited time and different level of student’s comprehension were the obstacles that faced by the lecturer. In conclusion, Jigsaw was recommended for teaching Speaking, because it gained the students to be more active and interactive in teaching and learning process.
Pengaruh Metode Penyeimbangan Kelas Terhadap Tingkat Akurasi Analisis Sentimen pada Tweets Berbahasa Indonesia

Nowadays internet access is getting easier to get. Because of the ease of access to the internet, almost all internet users have social media. Social media is widely used by users to call out their opinions or even to make complaints about a matter and also discuss a topic with other social media users. From many existing social media, one that is popularly used for that activity is Twitter. Sentiment analysis on Twitter has become possible because of the activities of these Twitter users. In this research, the authors explore sentiment analysis with bag-of-words and Term Frequency Inverse Document Frequency (TF-IDF) features extraction based on tweets from Indonesian Twitter users. The data obtained is in imbalanced condition, so that it requires a method to overcome them. The method for overcoming imbalanced dataset uses a resampling approach which combines over and under sampling strategies. The results of sentiment analysis accuracies with Naïve Bayes and neural networks before and after input data resampling are also compared. Naïve Bayes methods that will be used are Multinomial Naïve Bayes and Complement Naïve Bayes, while the Neural Network architecture that will be used as a comparison are Recurrent Neural Networks, Long Short-Term Memory, Gated Recurrent Units, Convolutional Neural Networks, and a combination of Convolutional Neural Networks and Long Short-Term Memory. Our experiments show the following harmonic scores (F1) of the sentiment analysis models: the Multinomial Naïve Bayes F1 score is 55.48, Complement Naïve Bayes is 51.33, Recurrent Neural Network is 75.70, Long Short-Term Memory is 78.36, Gated Recurrent Unit is 77.96, Convolutional Neural Network is 76.12, and finally the combination of Convolutional Neural Networks and Long Short-Term Memory achieves 81.14.
Suggesting Cultural Heritage Points of Interest Through a Specialized Chatbot

Researchers and companies are making great efforts to create new ways of interaction with a increasing number and types of electronic devices, with particular attention to the conversational interface, whether spoken or written. The cultural heritage domain can bring many benefits from the great effort in this field, as a smart conversational system can provide both room/hotel/apartment information and information related to the area, natural or cultural points of interest, tourist routes, social events, history etc. The paper’s main goal is to present a quick and effective service to the tourists visiting a city for the first time. Learning the cultural preferences of the users can enhance customer satisfaction, since a smart system can propose them customised tours in order to reach point of interests according to the expressed preferences. The interaction with the user is simplified by a conversational interface (chatbot).
Fonomix, en multisensorisk läsinlärningsmetod : En undersökning om hur några lärare ser på användandet av Fonomix i förskoleklass

The aim of this study is two-fold, firstly to ascertain whether teachers consider that the Fonomix method (a Swedish phonological training programme with articulation) contributes to an improved pu ...
媛移??덈뒗 ?뱁뿀??TRIZ 諛쒕챸?먮━? SIT ?쒖슜??遺꾩꽍

This study aims to find the major creative ideation patterns embedded in the commercially valuable patents in the mobile communication industry. For...
Opening Remarks from Conference Chairs

Welcome to the Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XVIII conference
PORTA: The Learner Corpus Portal of Eurac Research

The Learner Coprus portal provides access to the transcribed and annotated learner texts of various learner corpora available at the Institute of Applied Linguistics at Eurac Research for download and online search.
Looks on Faces

The case here presented brings a work created to raise awareness about sexually transmitted infections and how they can be close to our reality. Advertising campaigns to combat sexual infections converge in prevention before any path to cure or treatment. One of the most efficient and inexpensive methods for such protection is the use of condoms, and in studies of advertising campaigns carried out around the world, it is noticed that there is an incentive to use this prevention method, but there is no supply of the item. This is an issue the work presented intended to solve. The work used augmented reality resources on a printed panel with historical and artistic content, a time-based code management system and an automated device to complete the interaction with the viewer, all managed by the artifact itself, without the need for human support. This work was initially part of the 7th Doctoral Retreat in Digital Media-Art at Universidade Aberta de Portugal (UAb-PT) and Universidade do Algarve (Ualg) and is part of the doctoral thesis of the researcher and author of this study.
Improving Prediction Performance of Dynamic Neighbor Selection in User-Based Collaborative Filtering

Recommender systems have become more and more popular in online environments in recent years. Although different approaches are introduced to build a powerful recommender system, collaborative filtering is one of the most used approaches in the recommender systems. Yet, researchers still introduce new methods to improve prediction performances in collaborative filtering. k nearest neighbor algorithm is one of the most dominant and prevalent one in collaborative filtering. The underlying approach behind it is to select a predefined k neighbors for an active user among all users. In the traditional algorithm, the value of k is constant and is determined before the prediction process. Recently, scholars proposed to use dynamic k neighbor selection for each user. Inspired from this work, we propose to improve prediction performance, accuracy and coverage, of collaborative filtering systems under k nearest neighbor approach. We first propose that users who rate the target item should become nominees for dynamic k neighbor selection instead of all possible users whose similarities can be calculated. The similarity calculation is the most crucial point of the k nearest neighbor algorithm. Furthermore, we also propose to use the significance-weighting approach in addition to the traditional Pearson correlation coefficient when identifying the best dynamic k neighbors for each user. The experimental results on the two well-known datasets show that the prediction accuracy and coverage improve in the dynamic k neighbor selection method by selecting neighbors among users who rated the target item and introducing the significance-weighting factor into the neighbor selection phase to find more eligible neighbors.
LibGuides: Hostos Library Partnership Day 2020: Support for Online Learning & Scholarship: Session 3: Student Services: Connecting Your Students to Library Help

Join us on Friday August 28, 2020! Student Services: connecting your students to library help
Setting Up SharePoint Server 2019 Developer VM in MS Azure

SharePoint Server 2019 is generally available, and it is the latest on-premises version of SharePoint. SharePoint Server 2019 is more focused on team collaboration, consistent user experience across various devices, and bringing in cloud features to the on-premises scenario. SharePoint Server 2019 is built on the same core platform as SharePoint Server 2016; however, it offers a new, modern experience to users. It also unlocks access to some features previously available only for cloud customers. This blurs the line between on-premises and cloud experiences, which facilitate a smoother transition to the cloud. SharePoint Server 2019 is a middle ground for customers looking for an on-premises solution that captures many of the benefits of SharePoint Online while giving customers the control and compliance of staying on-premises.
LibGuides: Technology Integration in the Classroom : Lesson Planning Ideas

Technology integration is the use of technology resources computers, mobile devices, smartphones and tablets, digital cameras, social media platforms and networks, software applications, the Internet, etc. in daily classroom practices.
Nearly Optimal Embeddings of Flat Tori

We show that for any $n$-dimensional lattice $\mathcal{L} \subseteq \mathbb{R}^n$, the torus $\mathbb{R}^n/\mathcal{L}$ can be embedded into Hilbert space with $O(\sqrt{n\log n})$ distortion. This improves the previously best known upper bound of $O(n\sqrt{\log n})$ shown by Haviv and Regev (APPROX 2010) and approaches the lower bound of $\Omega(\sqrt{n})$ due to Khot and Naor (FOCS 2005, Math. Annal. 2006).