Miracle-dz/UniFAR-FTUs huggingface dataset:
Conceptual Designs of Multi-DOF Compliant Parallel Manipulators Composed of Wire-Beam Based Compliant Mechanisms

This paper proposes conceptual designs of multi-DOF (degree(s) of freedom) compliant parallel manipulators (CPMs) including 3-DOF translational CPMs and 6-DOF CPMs using a building block based PRBM (pseudo-rigid-body-model) approach. The proposed multi-DOF CPMs are composed of wire-beam based compliant mechanisms (WBBCMs) as distributed-compliance compliant building blocks (CBBs). Firstly, a comprehensive literature review for the design approaches of compliant mechanisms is conducted, and a building block based PRBM is then presented, which replaces the traditional kinematic sub-chain with an appropriate multi-DOF CBB. In order to obtain the decoupled 3-DOF translational CPMs (XYZ CPMs), two classes of kinematically decoupled 3-PPPR (P: prismatic joint, R: revolute joint) TPMs (translational parallel mechanisms) and 3-PPPRR TPMs are identified based on the type synthesis of rigid-body parallel mechanisms, and WBBCMs as the associated CBBs are further designed. Via replacing the traditional actuated P joint and the traditional passive PPR/PPRR sub-chain in each leg of the 3-DOF TPM with the counterpart CBBs (i.e. WBBCMs), a number of decoupled XYZ CPMs are obtained by appropriate arrangements. In order to obtain the decoupled 6-DOF CPMs, an orthogonally-arranged decoupled 6-PSS (S: spherical joint) parallel mechanism is first identified, and then two example 6-DOF CPMs are proposed by the building block based PRBM method. It is shown that, among these designs, two types of monolithic XYZ CPM designs with extended life have been presented.
Intervention effects in sentence processing

My dissertation investigates interference effects in the comprehension and production of long-distant dependencies in adults, integrating insights from theories on formal syntax and cognitive psychology granting a key role to similarity-based interference effects as a source of processing difficulty and/or ungrammaticality. My research mainly focuses on wh-islands' acceptability and attraction effects in agreement, which can both be taken as windows on interference effects in sentence processing. My research suggests that: (i) only similarity on a narrow class of syntactic features has the potential to generate ungrammaticality, while similarity in terms of other features increases processing difficulty without changing the grammatical status of the sentence; (ii) attraction effects can be conceived as the result of similarity-based interference; (iii) encoding interference plays a key role in generating processing difficulties; (iv) self-organised sentence processing models offer a new promising way to implement interference effects in a rigorous mathematical framework.
Financial development, openness in financial services trade and economic growth

PurposeThe purpose of this paper is to examine the relationship between financial development, openness in financial services trade and economic growth in BRICS countries for the period 1990–2012.Design/methodology/approachAn index for financial development has been constructed using principal component analysis technique by including banking sector development, stock market development, bond market development and insurance sector development. For the robustness of the result, the long-run cointegrating relationship amongst the variables has been analyzed.FindingsOverall financial development has a positive and significant impact on economic growth. To take the full advantage of openness in financial services trade, countries need to put more emphasis on the development of their stock markets, bond markets and the insurance sector. The result shows that openness in financial services trade has a positive impact on economic growth when the stock market, bond market and insurance sector are included in the system.Research limitations/implicationsThe policy implication of the findings is that policymakers should focus more on developing all four areas of finance to get the full benefit of the financial system on the process of economic growth.Originality/valueThe authors have constructed the better indicators of financial development in the case of BRICS economies. Most of the studies in BRICS economies have measured the development of the financial sector as either banking sector development or stock market development. However, the present study includes all four areas of finance (banking sector development, stock market development, insurance sector development and bond market development) into account.
Ambidexterity in Service Innovation Research: A Systematic Literature Review

Increased interconnectedness of multiple actors and digital resources in service eco-systems offer new opportunities for service innovation. In digitally transforming eco-systems, organizations need to explore and exploit innovation simultaneously, which is defined as ambidexterity. However, research on ambidextrous service innovation is scarce. We provide a systematic literature review based on the concepts of ambidexterity, offering two contributions. First, research strands are disconnected, emphasizing either exploration or exploitation of service innovation, despite an organizations’ need to accelerate innovation cycles of exploring and exploiting services. Second, a new framework for ambidextrous service innovation is provided, inspired by the dynamism and generative mechanisms of the ontologically related concept of organizational routines. The framework adopts the perspective of a mutually constitutive relationship between exploring new and exploiting current resources, activities, and knowledge. The findings remedy the scattered literature through a coherent perspective on service innovation that responds to organizations’ needs and guides future research.
Competing in Architecture: The Complexity Dilemma

Architectural competitions are accepted internationally as a way to choose an architect or an architectural design or develop ideas for challenging issues. This paper explores untapped potential for competitions to be part of a research process in the same way that crowd sourcing can help escalate knowledge. Over the last three years, a multidisciplinary team has explored a research methodology that included an Ideas Competition at its heart. Competitions are typically conceived as a one-way knowledge transfer process with competitors addressing the needs of a client. In contrast, a key aspect of our strategy was to use the competition brief as an educative tool aimed at shifting knowledge within our design community on tipping points within education, design and construction environments. We argue that competitions can be strategically conceived to leverage knowledge between academia and industry in both directions but there is an intrinsic difficulty to do with complexity. In this paper we explore some of the strategies for the research, asking what the ingredients are for a successful competition. We explore how the complexity of the design question can be at odds with entries presenting easily digestible messages for time-poor juries. Are some questions just too complex to be tackled successfully in a one-stage ideas competition? Bringing expertise as a competition advisor, the first author positioned the competition format into the research process. The second author brought applied expertise in brief development and working with complex teams. Both see competitions embedded within research as a way of encouraging cultural step change when faced by wicked problems.
Estimation of the CEFR Proficiency Level of Grammar Item Features by Staggered SVR

At present there are many machine readable data that are publicly available, and this has increased the application of machine learning to the task of supporting language learning. In this paper, we analyze the NICT-JLE corpus to investigate which words describe and discriminate different speaking proficiency levels by applying a method of machine learning called SVM (Support Vector Machine) to the classification task. The corpus consists of 1280 transcribed recordings of the Standard Speaking Test [1, 2, 3] (herein referred to as SST) English language learner exam. Each exam contains 3 different tasks and the transcriptions are made up of the dialogue between the examiner and examinee. The proficiency level for each examinee was determined by an expert examiner and ranked on a scale from 1 to 9, from beginner to advanced respectively. In this paper, the focus of the classification analysis will be on the Common European Framework of Reference for Languages: Learning, teaching, assessment (CEFR) (Council of Europe, 2001) [4] which is utilized internationally, rather than the SST proficiency levels that are applicable only within Japan. The equivalent proficiency levels of SST, CEFR, and CEFR-J (a version of the CEFR that has been tailored to the needs of Japanese learning English) as defined by Tono et al. [5] are shown in Table 1. It should be noted that SST level 4 can be assigned to either CEFR level A1 and A2. In this paper, the evaluation of the classification method was performed with SST level 4 included in the CEFR level A2. For each of the 1280 examinee’s in the SST data there are 5 stages of the interview that have been transcribed. In this paper, the results for each examinee were represented as one document, and there were 1280 sample documents for which the proficiency level classification problem was analyzed. A
Bridging the Gap of Idea Management Systems Application and Organizational Effectiveness with Adaptive Structuration Theory

Information technologies that help to manage knowledge have a scientific and practical topicality. Among such technologies are web-based idea management systems (IMS). But there is little scientific evidence on how web-based IMS application materializes with in organizations and how they relate with organization effectiveness (OE). Authors of this paper aim to develop conceptual bases to fill this gap. The paper is based on an extensive review of literature about IMS, OE, and Adaptive Structuration Theory (AST). The aim is to develop a new research framework to explore how can the concepts - IMS, AST, and OE, - be operationalized for empirical research to explore how IMS application and its results relate with OE and what are the main input and process elements in these relations? Based on a systematic literature review, that was analysed through content analysis technique and exploratory meta-analysis, authors created the adapted framework of AST for IMS context and proposed hypothesis. The paper contributes by developing detailed characterization of AST construct in web-based IMS application context on organizations. Authors propose theoretical guidance on how to explore the IMS impact on OE and expands the domain of outcomes of AST researching outcomes of web-based IMS by including OE dimensions that are normally found in the OE literature as possible outcomes of web-based IMS application. Additionally, the research provides theoretical idea to research web-based IMS outcomes and how these outcomes relate with OE in AST context. DOI: https://doi.org/10.3846/cbme.2017. 045
Convolutional neural network using generated data for SAR ATR with limited samples

Being able to adapt all weather at all times, it has been a hot research topic that using Synthetic Aperture Radar(SAR) for remote sensing. Despite all the well-known advantages of SAR, it is hard to extract features because of its unique imaging methodology, and this challenge attracts the research interest of traditional Automatic Target Recognition(ATR) methods. With the development of deep learning technologies, convolutional neural networks(CNNs) give us another way out to detect and recognize targets, when a huge number of samples are available, but this premise is often not hold, when it comes to monitoring a specific type of ships. In this paper, we propose a method to enhance the performance of Faster R-CNN with limited samples to detect and recognize ships in SAR images.
Data Clustering Using Sine Cosine Algorithm: Data Clustering Using SCA

The clustering techniques suffer from cluster centers initialization and local optima problems. In this chapter, the new metaheuristic algorithm, Sine Cosine Algorithm (SCA), is used as a search method to solve these problems. The SCA explores the search space of given dataset to find out the near-optimal cluster centers. The center based encoding scheme is used to evolve the cluster centers. The proposed SCA-based clustering technique is evaluated on four real-life datasets. The performance of SCA-based clustering is compared with recently developed clustering techniques. The experimental results reveal that SCA-based clustering gives better values in terms of cluster quality measures.
Solving Managerial Problems Systematically

Solving Managerial Problems Systematically describes the Seven Steps of the Managerial Problem-Solving Method. With this It helps trouble-shooters arrive at solutions by ticking the boxes on a methodological checklist, and teaches them to differentiate between knowledge and action problems. The Language of Variables ensures that researchers remain concrete, helping them to consciously weigh up alternatives and obtain answers to questions they had not yet thought to ask. The MPSM encourages its users to take advantage of their intuition. Solving Managerial Problems Systematically is meant for higher education where students deal with problems in individual courses, and graduate projects.
Does mindset matter for using social networking sites?: understanding motivations for and uses of Instagram with growth versus fixed mindset

Abstract This study examines whether and how consumers with different mindsets (i.e. fixed versus growth) have different motives for and patterns of using Instagram. The findings indicate that growth-mindset individuals are more likely to engage in a variety of Instagram activities and to have various motives for using Instagram (i.e. identity expression, social interaction, relationship management, and information seeking). In terms of brand-related motives for using Instagram, interestingly, growth-mindset individuals place relatively greater emphasis on brand identification. Further implications are also discussed.
A Working-set Sensitive Page Replacement Policy for PCM-based Swap Systems

Due to the recent advances in Phage-Change Memory (PCM) technologies, a new memory hierarchy of computer systems with PCM is expected to appear. In this paper, we present a new page replacement policy that adopts PCM as a high speed swap device. As PCM has limited write endurance, our goal is to minimize the amount of data written to PCM. To do so, we defer the eviction of dirty pages in proportion to their dirtiness. However, excessive preservation of dirty pages in memory may deteriorate the page fault rate, especially when the memory capacity is not enough to accommodate full working-set pages. Thus, our policy monitors the current working-set size of the system, and controls the deferring level of dirty pages not to degrade the system performances. Simulation experiments show that the proposed policy reduces the write traffic to PCM by 160% without performance degradations.
Charles A. Dice Center for Research in Financial Economics Are Analyst Short-Term Trade Ideas Valuable?

Short-term trade ideas are a component of analyst research highly valued by institutional investors. Using a novel and comprehensive database, we find trade ideas have a stock-price impact at least as large as recommendation and target price changes. Trade ideas based on expectations of future events are more informative than those identifying incomplete incorporation of past information in stock prices. Analysts with better access to a firm’s management produce better trade ideas. Institutional investors trade in the direction of trade ideas. Investors following trade ideas can earn significant abnormal returns, consistent with analysts possessing valuable short-term stock picking skills.
Producer-Consumer Problem

In this problem, two processes, one called the producer and the other called the consumer , run concurrently and share a common buffer. The producer generates items that it must pass to the consumer, who is to consume them. The producer passes items to the consumer through the buffer. However, the producer must be certain that it does not deposit an item into the buffer when the buffer is full, and the consumer must not extract an item from an empty buffer. The two processes also must not access the buffer at the same time, for if the consumer tries to extract an item from the slot into which the producer is depositing an item, the consumer might get only part of the item. Any solution to this problem must ensure none of the above three events occur.
Analysis and Evaluation of Traffic Congestion Control Methods in Touristic Metropolis Using Analytical Hierarchy Process (AHP)

One of the most important issues of urban transport management in metropolitan cities is the control of traffic congestion in the central parts of the city or other densely populated areas. Typical ways to control traffic congestion in metropolitan areas are to create a prohibited traffic area, alternate traffic plan (even and odd), and congestion pricing. In this paper, these traffic congestion control methods have been compared and evaluated. The methodology of this research is analytical hierarchy analysis (AHP). Based on the results, the most effective measures for assessing traffic congestion control methods in metropolitan cities were improving traffic conditions, social welfare, reducing environmental pollution and improving the safety of intra-urban travel. The best Traffic congestion control options were also priced for traffic congestion, roaming traffic (odd and odd), and the creation of traffic barriers. The results of analyzes and paired comparisons in analytic hierarchy analysis were also obtained using “Expert choice” software.
Corporate Social Responsibility (CSR) and Firm Value: The role of investor sentiment in green companies listed on the IDX

This study aims to examine the role of investor sentiment on the relationship between corporate social responsibility and corporate value. Based on the previous literature, CSR which is a positive signal revealed by the company will influence investor sentiment. Investors can make decisions to make investments based on signals from the company. So that it can increase the value of the company. The better the company signal, the more confident investors will be in making investment decisions, which will then have an impact on the company's higher value. The sample used in this study is the green company that is listed on the IDX as many as 12 companies. By using a regression panel data analysis, the result is CSR disclosures can increase the value of the company through the mediating role of investor sentiment. Keywords—CSR; firm value; sentiment investor
All the Feels: A Twitch Overlay that Displays Streamers’ Biometrics to Spectators

Author(s): Robinson, Raquel Breejon | Advisor(s): Isbister, Katherine | Abstract: All the Feels is a tool I created that provides an overlay of biometric and webcam-derived data onto the interface of the popular video game streaming service, Twitch. This overlay provides visualization of heart rate, skin conductance, and facial emotion recognition. It isintended for two purposes: one, to enhance the spectator experience and improve streamer-spectator connection and two, to evaluate players’ emotional response to games. I present results of a few preliminary studies (phase 1 and phase 2) investigating reactions to theintroduction of this tool in various environments through the Twitch streaming platform. The first two studies are accounts of results via live-testing with streamers and spectators, and the third is with the tool used in combination with other methods to evaluate playerexperience in games. This work opens up opportunities to improve the streaming experience and spectator engagement through the introduction of an interface that includes biometric signals, and also has broader applications as a tool for understanding player experience in general. The thesis describes this tool both as a way of evaluating players’ emotional response to games, and also as a way for spectators to see players’ emotional response to games. I discuss the implementation in terms of these two different contexts, while providing ideas for future use of this tool in games user research.
Run, Hide, Fight: Leveraging Academics to Enhance Emergency Preparedness Training for Active Shooter Events

College and university campuses are regularly faced with various types of crises. One category of crisis that is becoming a more regular event of concern is the active shooter event. Trainings exist that can help individuals respond more confidently in the event of an active shooter incident on campus. However, the authors were concerned that students with certain personality traits may be less likely to abide by active shooter training guidelines. We surveyed undergraduate students and compared the Big Five personality traits with perceptions of self and response efficacy related to the “Run, Hide, Fight” active shooter training video. Our findings confirm prior research findings and suggest a small, significant relationship between certain personality types and perceptions of efficacy.
Study of Perspective and Prospective Aspects on Indonesia Balance of Payment in 1980-2017

This study aims to analyze the influence of Interest Rate, Economic Growth, Domestic Credit and Foreign Exchange against Foreign Reserves. The analysis is based on Monetary Approach to the Balance of Payment (MABP) theory. The object of research is the value of Indonesia Foreign Exchange Reserve. This study uses quarterly time series data from 1980 to 2017. Data analysis methods used are Auto Regressive Conditional Heteroscedasticity (ARCH) with GARCH (1.1), ARCH in mean (ARCH-M), Threshold ARCH (TARCH) and GARCH (1,1) with the Variant Regressor. The selection of the best model is based on the level of significance, the value of Akaike Info Criterion (AIC) and Schwarz Criterion. The selected model is the TARCH estimation method. Based on the TARCH output, it can be concluded that all independent variables have significant effect on the Foreign Exchange Reserve, except Domestic Credit. The direction of the relationship of each variable is consistent with the theory of Monetary Approach to the Balance of Payment (MABP). Keywords—foreign reserves; Monetary Approach to the Balance of Payment (MABP); Auto Regressive Conditional Heteroscedasticity (ARCH)