Reviewerly/exHarmony huggingface dataset:
Do Robo-Advisors Make Us Better Investors?

Investors increasingly can obtain assistance from “robo-advisors,” artificial intelligence–enabled digitalized service agents imbued with anthropomorphic design elements that can communicate using natural language. The present article considers the impact of anthropomorphized robo-advisors on investment decisions, with a focus on their ability to mitigate investors’ behavioral biases. We study the well-documented disposition effect, which reflects investors’ greater propensity to realize past gains than past losses. In two induced-value laboratory experiments, the availability of a robo-advisor reduces (i.e., mitigates) investors’ disposition effect. This relationship is mediated by two simultaneous (indirect) effects: the extent of requests for the robo-advisor’s investment advice and perceptions of its socialness. These findings resonate with cognitive dissonance theory, which predicts that assigning responsibility to the advisor helps investors resolve a sense of discomfort that may arise after a financial loss. Anthropomorphic design elements alone are not sufficient to reduce the disposition effect, but they decrease investors’ propensity to seek advice, which offsets the positive (indirect) effect of perceived socialness. These results have implications for the ongoing automation of advisory services, as well as for improving decision making, and suggest some further research directions.
The Varieties of Multidimensional Necessity

Author(s): Dal Conti Lampert, Fabio | Advisor(s): Wehmeier, Kai | Abstract: Two-dimensional semantics is one of the main theories of meaning in contemporary analytic philosophy. Much of what makes it interesting is the unified manner it has of providing a semantic analysis of statements involving the metaphysical notions of necessity, possibility, and actuality, and the epistemic notions of a priori and a posteriori knowledge or knowability. This unified account allows for the development of modal logics endowed with semantic structures which are inspired by two-dimensional theories of meaning, in which the formal languages contain operators corresponding to the aforementioned metaphysical and epistemic notions.In this dissertation, I develop first-order two-dimensional modal logics for different modal languages and present sound and complete semantic tableaux for all of them. Additionally, I argue that the first-order extensions call for new actuality operators so that certain statements in natural language can be formalized. I argue that this brings new issues for two-dimensional modal logics, such as the problem of omniscience with respect to actual truths. Finally, from the perspective of mathematical logic, I show that extensions of certain propositional two-dimensional modal logics to the n-dimensional case are finitely axiomatizable. Decidability of n-dimensional modal logics is proved by systematic constructions of semantic tableaux.
LibGuides: E Resources for Online Learning: Permalinks

Helpful for instructors to link directly to online content in Blackboard course sites.Web Guides for citing electronic Sources.
Towards Robust Neural Networks via Close-loop Control

Despite their success in massive engineering applications, deep neural networks are vulnerable to various perturbations due to their black-box nature. Recent study has shown that a deep neural network can misclassify the data even if the input data is perturbed by an imperceptible amount. In this paper, we address the robustness issue of neural networks by a novel close-loop control method from the perspective of dynamic systems. Instead of modifying the parameters in a fixed neural network architecture, a close-loop control process is added to generate control signals adaptively for the perturbed or corrupted data. We connect the robustness of neural networks with optimal control using the geometrical information of underlying data to design the control objective. The detailed analysis shows how the embedding manifolds of state trajectory affect error estimation of the proposed method. Our approach can simultaneously maintain the performance on clean data and improve the robustness against many types of data perturbations. It can also further improve the performance of robustly trained neural networks against different perturbations. To the best of our knowledge, this is the first work that improves the robustness of neural networks with close-loop control.
Psychopedagogical research directions of teacher training

The article focuses on psychopedagogical issues of teacher training and research in this area. Difficulties in teacher training are due to a number of reasons. These reasons are due to the fact that there are significant differences between the education systems in different countries and the different application of principles and methods of teaching. Since teacher training models cannot be mechanically applied to different education systems, teacher training issues require serious research. The research in the article is classified as research conducted in two directions - in our country and abroad - according to the place and level of development. Key words: teacher profession, psychological training, teacher training, research directions, psychopedagogical issues
Research on Online and Offline Hybrid Teaching of Higher Vocational Professional English Based on Network Environment

Abstract With the rapid development of modern information technology, the teaching mode of professional English in China has also been transformed. Many higher vocational colleges have introduced information technology into classroom teaching, hence achieving online and offline mixed teaching and saving time and teacher resources while improving the overall quality of English teaching. Professional English is a practical discipline. Therefore, when studying after class, students need to use network resources to search and learn vocabulary to better expand the English learning resource pool and improve their knowledge. Higher vocational English teachers should clarify the teaching objectives when conducting online and offline English-language teaching to improve the English ability of students by teaching knowledge to students more efficiently. This paper mainly discusses the optimization strategy based on the characteristics of online and offline hybrid teaching in English, hence providing important guarantee for improving the ability of subsequent English teaching [1] .
THE CORRELATION BETWEEN STUDENTS READING INTEREST AND THEIR ACADEMIC ACHIEVEMETS ( CASE STUDY IN PL DON BOSKO HIGH SCHOOL SEMARANG)

Abstract Reading is one of many ways to understand science. The interest in reading is an inner encouragement to read, however reading interest does not come naturally instead it must be driven. The research is aimed at oxploring whether there is a correlation between reading interest and learning achievements ( test scores of Indonesian Language ) of Students of PL Don Bosko Semarang. The SPSS test result on the correlation between reading interest and scores of Indonesian Language tests showed sig score 0.012 &lt; 0.05, therefore H0 is refuted. It can be concluded that there is a positive correlation between reading interest and and Test score of Indonesia Language.Key words : Reading, Reading Interest, Correlation, Learning Achivements (Test score)
PENGGUNAAN MEDIA PEMBELAJARAN IPA TERPADU BERBASIS KOMPUTER DENGAN MACROMEDIA FLASH 8 PADA POKOK BAHASAN UNSUR, SENYAWA DAN CAMPURAN TERHADAP KEJELASAN, KEDALAMAN DAN KETEPATAN ISI MATERI:

Macromedia flash has a lot of advantages compared with other animation software. For instance, the program is object-oriented, which can design based on the vector that used as a software to create Websites and other advantages. The students who use the computer program may accomplish the lesson about 13, 75 hours. On the other side, the students use direct lesson need 24 hours. Besides, more than 560 in the senior high school use the computer program “ EnviroQuest” and ROD-CD. The result of ROD-CD is shown 93% of the students find their aim after learning its program. 70 % of students state that they get a lot of knowledge, and 97% of students say that they love its computer program. In short, the advantage of using the computer program as a learning media has a lot of benefits. This research has already conducted in chemistry laboratory FMIPA UNIMED, and the media has examined in MTS Negeri 3 Medan on Mei 2010. The instrument used in this research is the usage of the questionnaire to reveal the students’ responses toward the learning media based on computer media namely: Macromedia flash 8. In conclusion, the result of this research is the media has given the material clearly, and the content of the material is more clearly.
Total Physical Response (TPR) y el desarrollo de la metacognición y la motivación en el aprendizaje del inglés

espanolEste es un estudio cualitativo con alcance exploratorio ya que quiso examinar una tematica de investigacion poco estudiada sobre la ensenanza y aprendizaje del ingles, tuvo como objetivo establecer la relacion entre el metodo TPR (Total Physical Response) y el desarrollo motivacional y metacognitivo en estudiantes de grado septimo del area de ingles de tres instituciones de educacion basica del sector rural y urbano en Colombia. Para esto se uso una muestra de tipo no probabilistica intencional ya que en estos grupos se evidencio mayor dificultad en el aprendizaje y uso de la segunda lengua, mayor temor al expresarse oralmente e interactuar con el otro, a esta poblacion se les aplico como instrumento una encuesta, que permitio conocer la efectividad del metodo TPR para el aprendizaje significativo del ingles. Como metodologia de analisis se uso la descripcion y comparacion, se utilizo una matriz de Excel, estructurada, categorizada y detallada con objetivos especificos, categorias, subcategorias y hallazgos, que permitio comparar y analizar cada dato obtenido y ver los resultados con claridad. Los resultados arrojaron que el metodo logro despertar el interes y la motivacion permitiendo un aprendizaje significativo del ingles, de manera autonoma y autorregulada, facilitando la participacion activa del estudiante. EnglishThis is a qualitative study with an exploratory scope since it wanted to examine a little-studied research topic on the teaching and learning of English, its objective was to establish the relationship between the TPR (Total Physical Response) method and the motivational and metacognitive development in students seventh grade in the English area of ​​three basic education institutions in the rural and urban sectors in Colombia For this, an intentional non-probabilistic sample was used since in these groups there was evidence of greater difficulty in learning and using the second language, greater fear when expressing themselves orally and interacting with the other, this population was applied as an instrument survey, which revealed the effectiveness of the TPR method for meaningful English learning. Description and comparison were used as analysis methodology, an Excel matrix was used, structured, categorized and detailed with specific objectives, categories, subcategories and findings, which allowed to compare and analyze each data obtained and see the results clearly. The results showed that the method managed to awaken interest and motivation, allowing a significant learning of English, autonomously and self-regulated, facilitating the active participation of the student.
SEMANTIC APPROACH TO AGENT ROUTING USING A HYBRID ATTRIBUTE-BASED RECOMMENDER SYSTEM

Traditionally contact centers route an issue to an agent based on ticket load or skill of the agent. When a ticket comes into the system, it is either manually analyzed and pushed to an agent or automatically routed to an agent based on some business rules. A Customer Relationship Management (CRM) system often has predefined categories that an issue could belong to. The agents are generally proficient in handling multiple categories, the categories in the CRM system are often related to each other, and a ticket typically contains content across multiple categories. This makes the traditional approach sub-optimal. We propose a Hybrid Recommendation based approach that recommends top N agents for a ticket by jointly modelling on the interactions between the agents and categories as well as on the semantic features of the categories and the agents.
The Innovation Bank: Blockchain Technology and the Decentralization of the Engineering Professions

Abstract The Innovation Bank is a novel business method that integrates and capitalizes knowledge assets. The Innovation Bank is an application of game theory, actuarial math and a simple native “proof-of-stake” blockchain. The system aims to unify the global engineering and scientific disciplines by incentivizing individual practitioners to form knowledge asset networks among each other by producing claims and validations related to observable and measurable events. Each claim and associated validation forms a node in a network for which each participant is awarded a cryptographic token memorializing earned stake (equity) in the system. A secure, validated, and decentralized knowledge repository and access management system is secured by a simple native blockchain. Revenue is generated through the liquidation of earned tokens on an external market to third parties seeking access to network metadata for business intelligence. The intrinsic value of the network grows as the number of participants increases. As participation increases, the quantity and quality of the transaction records also increases. Third-party buyers may include banks, insurance companies, and private enterprise.
ETHICAL ASPECTS OF WORKING WITH A CHILD AND FAMILY

The article discusses the ethical issues associated with educational work in the family. Philosophical aspects of understanding the child, family, upbringing, education, ensuring the rights of the child are presented. The child is a full member of the family. This position is the basis for a proper understanding of the process of family upbringing and its implementation in practice. The child must develop through the family to a full human life. This involves not only the physical, intellectual or material development of a person, but also the development through which the child becomes a good, happy, real person. It isemphasized that the formation of a child in the family is important for all social, state and national life. The role of parents who must be aware of their mission and be ready to raise their children is defined. You can not treat the child as a means of their own happiness, which is a humiliation of the child’s personality. Real upbringing and real work with the child in the family should not be replaced by information, instruction or prohibitions. Modern approaches to raising a child in the family are summarized. The role of philosophy, which is the theoretical basis of family pedagogy and the process of personality education, is determined. Classical, realistic philosophy emphasizes the personal status of human existence, teaches that the family must know the truth about themselves in order to properly organize interpersonal relationships and properly perform their educational work. This work involves not only the development of the child, but also the development of all family members.
PERAWATAN DAN PERBAIKAN INCINERATOR UNTUK MENGURANGI PENCEMARAN DI LAUTPT. JANATA MARINA INDAH

INCINERATOR CARE AND IMPROVEMENT TO REDUCE WASTE POLLUTION IN THE SEAPT. JANATA MARINA INDAHIncinerator is a garbage burner that is operated by using combustion technology at a certain temperature, so that the waste can burn out. Incineration and processing of other high temperature waste is defined as thermal processing. So much pollution in the sea caused by passing ships, forced the international body to deal with the problem of sea pollution to tighten regulations regarding the disposal of waste from ships. Through the laws listed in MARPOL (marine pollution) for each ship with a certain gross tonage and through certain waters it is required to be equipped with an incinerator. The purpose of this study is to find out how to care for the incinerator to improve its performance in the prevention of pollution in the sea, the beautiful PT. Janata Marina used is to use the observation method. The results of the study were to determine the maintenance activities of the incinerator components. The research conclusions obtained by the authors are that in an effort to improve the performance of the Incinerator, periodic maintenance and repairs need to be carried out in accordance with the Intruction Manual Book, so that marine pollution problems can be prevented.Keywords: Incenerator, maintenance, repair, pollution
Assessing the Institutional Outreach and Sustainability of Micro Finance Institution in Ethiopia: Evidence from Omo Microfinance Institutions Hawassa Branch

Institutional sustainability and outreach are key for achieving the micro finance goal of meeting financial requirement of poor people. So, the objective of this study was to assess the institutional outreach and sustainability of Omo Microfinance Institution at Hawassa branch. To this end, the researchers had used descriptive research design because using this type of research design enables the researchers to assess and describe the present situation of institutional sustainability and outreach of the institution. The primary data was collected from 60 randomly selected employees of OMFI Hawassa branch using structured questionnaire. Then, descriptive statistics analysis has been done through SPSS version 23.0 in order to get the reliable findings. Consequently, the result of the study showed that the factors influencing outreach and sustainability of OMFI Hawassa branch were nature of loan extended to customers, Poor loan management, flexibility of loan repayment schedule, loan defaulting faced by customers, and per customer outstanding. Besides, the study showed that level of sustainability and institutional outreach level is increased by higher deposit mobilization, saving mobilization extended to borrowers, increase in saving amount, and regulatory saving framework for the reason most of the respondents expressed their positive level of agreement with statements asked about this variables. Based on the findings of the study, the researcher forwarded possible recommendations for the OMFI Hawassa branch in order to improve the institutional sustainability in one hand and outreach in other hand. Keywords : Omo Microfinance Institution, Institutional Sustainability, Outreach DOI: 10.7176/RJFA/11-15-01 Publication date: August 31 st 2020
Pair-based Self-Distillation for Semi-supervised Domain Adaptation

Semi-supervised domain adaptation (SSDA) is to adapt a learner to a new domain with only a small set of labeled samples when a large labeled dataset is given on a source domain. In this paper, we propose a pair-based SSDA method that adapts a learner to the target domain using self-distillation with sample pairs. Our method composes the sample pair by selecting a teacher sample from a labeled dataset (i.e., source or labeled target) and its student sample from an unlabeled dataset (i.e., unlabeled target), and then minimizes the output discrepancy between the two samples. We assign a reliable student to a teacher using pseudo-labeling and reliability evaluation so that the teacher sample propagates its prediction to the corresponding student sample. When the teacher sample is chosen from the source dataset, it minimizes the discrepancy between the source domain and the target domain. When the teacher sample is selected from the labeled target dataset, it reduces the discrepancy within the target domain. Experimental evaluation on standard benchmarks shows that our method effectively minimizes both the inter-domain and intra-domain discrepancies, thus achieving the state-of-the-art results.
Avaliação de métodos de transferência de aprendizado aplicados a problemas de processamento de linguagem natural em textos da língua portuguesa.

This work focus on evaluating strategies based on transfer learning and fine-tuning, searching for reducing the number of examples needed to train effective models for sentiment analysis in texts written in Portuguese language, as well as trying to understand what is transferred between the models. The models evaluated are based on pre-training approaches of language models in a large and generic corpus and the coupling of specific classifiers to these pre-trained language models. Evaluating the models based on learning transfer, we got an F1 of 97.65%, 89.30% and 84.02% for the Mercado Livre, Buscape and Souza et al. (2016) datasets. It was also evaluated the performance of the models regarding the reduction of data sets, obtaining 97.50% F1 using about 45% of the Mercado Livre dataset and 88.29% F1 using about 71% of the Buscape dataset. An analysis of the inner layers of attention-based models was performed, in which it is possible to observe that some patterns that contribute to sentiment analysis are inherited from the model without fine-tuning.
QT display interface design of new retail system based on computer vision

Abstract With the rapid development of science and technology, the application of computer vision is more and more widely, and there are great changes in all walks of life. New retail can rely on this advantage to improve the intelligent settlement of supermarket and reduce the workload of supermarket staff. In this paper, we use deep learning to train the goods that need to be settled, and identify the goods in the video during the settlement. At the settlement interface, Alipay two-dimensional code is generated to sweep the code for customers. QT is used to display the process of commodity identification and settlement.
Meeting Oneself in a Virtual Reality (VR) Environment : Can a Visual Representation of Oneself in a VR-environment be Used to Affect Experience of Self?

Sense of self plays an important role in human wellbeing and everyday functioning. The experience of self can be affected through perspective taking exercises, which Virtual Reality-technology (VR) ...
English Foreign Language (EFL) Leaners’ Needs in Writing Skills

This article aim is to explore the need of the EFL learners of FKIP UMS Rappang in academic 2019/2020 which expected to be useful information for lecturer and students in writing skills. In this article, the writer used quantitative method to describe the need of the third semester of the EFL learners of FKIP UMS Rappang in writing skills. The population whick was involved the third semester students of English Department of FKIP UMS Rappang in academic 2019/2020 consist of 96 students, because the number of population was big so the writer only took 28 students as a sample (cluster sampling). In collecting the data the writer used one part of instruments, namely: Questionnaire. Questionnaire significan to find out the students’ need in writing skills. Based on the result of analysis the data showed that the students need in writing skills are: (a)Using correct punctuation and spelling, (b)structuring sentences, (c)appropriate vocabulary, (d)the knowledge of vocabulary, (e)expressing ideas appropriately, (f)developing ideas, (g)organizing paragraph (h)the overall writing ability, (i)the creative writing, (j)the essay writing, and (k)writing introductions and conclusions.
LEAP Submission to CHiME-6 ASR Challenge

This paper reports the LEAP submission to the CHiME-6 challenge. The CHiME-6 Automatic Speech Recognition (ASR) challenge Track 1 involved the recognition of speech in noisy and reverberant acoustic conditions in home environments with multiple-party interactions. For the challenge submission, the LEAP system used extensive data augmentation and a factorized time-delay neural network (TDNN) architecture. We also explored a neural architecture that interleaved the TDNN layers with LSTM layers. The submitted system improved the Kaldi recipe by 2% in terms of relative word-error-rate improvements.