Miracle-dz/UniFAR-FTUs huggingface dataset:
Branded food spokescharacters: consumers' contributions to the narrative of commerce

Purpose – The purpose of this research is to examine the nature of consumers' relationships with branded spokescharacters by drawing upon brand personality theory and reader‐response theory, focusing specifically on food trade characters. We aim to show that the persuasive power of these characters resides not only in their appearance, but also in the complex narratives consumers project (sometimes unwittingly) onto the spokescharacter.Design/methodology/approach – The paper reports the results of a survey – blending quantitative and qualitative methodologies – designed to document consumer perceptions, affective responses and spontaneous associations to different characters (i.e. Aunt Jemima, Robin Hood, Betty Crocker, Uncle Ben, Poppin' Fresh the Pillsbury's Doughboy, and M. Felix and Mr Norton, characters created by a Montreal‐based cookie company). Findings – The results revealed that consumers associate spokescharacters with distinct personality profiles. Also, a connection was found between spokescha.
Integration of Kano's model and SERVQUAL for enhancing standard hotel customer satisfaction

The purpose of this study is to establish a new methodology for decision analysis. This is done by integrating Kano’s model and SERVQUAL to help organizations identify core service quality attributes that will effectively enhance customers’ satisfaction. SERVQUAL does not consider the non-linear impact of quality attributes and quality improvement effectiveness. Kano’s model determines quality attributes by mode and ignores the cognition differences of quality attributes of different customers because it is unable to accurately analyze the priorities of quality improvement that results in wrong decisions. This study used the Kano’s model of customer satisfaction improvement quantitative analysis integrated with SERVQUAL information on customers’ expectation and perception. It used it to calculate the improvement ratio of expected service quality satisfaction improvement to determine improvement priorities. This study illustrated the methodology and effectiveness of integrating Kano’s model and SERVQUAL.
A Prioritized Network Coding Scheme based E-WP Algorithm for Packet Recovery in DVB-IPDC System

DVB-H is developed to broadcast digital videos to mobile handsets, but data loss is a concern due to the wireless broadcasting nature. In this paper, take WiMAX as an IPbased wireless network to recover the loss packets in DVB-H, and take E-WP based on network coding as the encoding packet selection algorithm. Furthermore, a prioritized scheme EWP-PNC based on E-WP packet selection algorithm is proposed. In this scheme, take a base station in WiMAX as encoding node to encode any two packets that meet the encoding and decoding necessary and sufficient condition into an encoding recovery packet according to the current lost packet distribution, and calculate the benefit of each encoding packet to decide the final priority of all encoding packets. The goals of this scheme are to improve the lost packet recovery ratio and reduce the discarded packet ratio. According to the simulation results, the validity of this scheme is proved.
Trajectory Formation of Arm Movement using Genetic Algorithm

In order to explain features of a point-to-point human arm movement, several models based on a minimization principle have been proposed. For example, there are the minimum hand jerk model, the minimum angle jerk model, the minimum commanded torque change model, the minimum-variance model and so on. For some models listed above; the minimum hand jerk model, the minimum angle jerk model and the minimum commanded torque change model, these established methods to obtain an optimal trajectory which satisfies corresponding criterion have already been reported. However it is difficult to obtain the optimal solutions of the minimum-variance model and of other some models. In this study, we propose a novel method to calculate optimal trajectories without depending on the employed criterion by using genetic algorithm. The proposed method has following two procedures; first, the objective trajectory is described by the sum of polynomial equations which satisfy the boundary conditions strictly, and second, the coefficients of the polynomial expressions are determined by using genetic algorithm. In this report, we have confirmed the effectiveness of our method in numerical experiments. First, in the minimum commanded torque change model, we show that the produced trajectory is in beautiful agreement with the optimal solution. Next, in the minimum-variance model, the obtained solution by using proposed method has better evaluated values than one of the quasi-optimal solution that is obtained by the conventional Simplex method
The New Financial Deal: Understanding the Dodd-Frank Act and its (Unintended) Consequences

Foreword. Introduction. A Few Major Characters. Chapter 1 The Corporatist Turn in American Regulation. The Path to Enactment. The Two Goals of the Dodd-Frank Act. A Brief Tour of Other Reforms. Two Themes That Emerge. Fannie Mae Effect. Covering Their Tracks. Is There Anything to Like? Part I Relearning the Financial Crisis. Chapter 2 The Lehman Myth. The Stock Narrative. Lehman in Context. Lehman s Road to Bankruptcy. Lehman in Bankruptcy. Bear Stearns Counterfactual. Road to Chrysler. Chrysler Bankruptcy. General Motors Sale . From Myths to Legislative Reality. Part II The 2010 Financial Reforms. Chapter 3 Geithner, Dodd, Frank, and the Legislative Grinder. The Players. TARP and the Housing Crisis. Road to an East Room Signing. Channeling Brandeis: The Volcker Rule. The Goldman Moment. Chapter 4 Derivatives Reform: Clearinghouses and the Plain-Vanilla Derivative. Basic Framework. Derivatives and the New Finance. The Stout Alternative. New Clearinghouses and Exchanges. Regulatory Dilemmas of Clearinghouses. Disclosure and Data Collection. Making It Work? Chapter 5 Banking Reform: Breaking Up Was Too Hard to Do. Basic Framework. New Designator and Designatees. Will the New Capital Standards Work? Contingent Capital Alternative. Volcker Rule. What Do the Brandeisian Concessions Mean? Office of Minority and Women Inclusion. Institutionalizing the Government-Bank Partnership. A Happier Story? Repo Land Mine. Chapter 6 Unsafe at Any Rate. Basic Framework. Who Is Elizabeth Warren? Toasters and Credit Cards. The New Consumer Bureau. Mortgage Broker and Securitization Rules. Consequences: What to Expect from the New Bureau. What It Means for the Government-Bank Partnership. Chapter 7 Banking on the FDIC (Resolution Authority I). Does the FDIC Play the Same Role in Both Regimes? How (and How Well) Does FDIC Resolution Work? Moving Beyond the FDIC Analogy. Chapter 8 Bailouts, Bankruptcy, or Better? (Resolution Authority II). Basic Framework. The Trouble with Bailouts. Who Will Invoke Dodd-Frank Resolution, and When? Triggering the New Framework. Controlling Systemic Risk. Third Objective: Haircuts. All Liquidation, All the Time? Part III The Future. Chapter 9 Essential Fixes and the New Financial Order. What Works and What Doesn t. Staying Derivatives in Bankruptcy. ISDA and Its Discontent. Other Bankruptcy Reforms for Financial Institutions. Plugging the Chrysler Hole in Bankruptcy. Bankruptcy to the Rescue. Chapter 10 An International Solution? Basic Framework. Problems of Cross-Border Cases. Scholarly Silver Bullets. Dodd-Frank s Contribution to Cross-Border Issues. New Living Wills. A Simple Treaty Might Do. Risk of a Clearinghouse Crisis. Reinvigorating the Rule of Law. Conclusion. Notes. Bibliography. Acknowledgments. About the Author. Index.
A Study on the Key Factors Weight Evaluation of Outsourcing Cooperation by Cloud Service

Cloud application and information security management have been a prominent of social science for these years. Not only various industries have been enthusiastically discussing their effects on enterprise operational competition and risks, but also “Outsourcing Cooperation” has been considered to decrease the whole operational cost and risks, further enhance the competitiveness of information applications and security of information management for enterprises (Huang, 2013). The main purposes of this study stresses on the key factors weight evaluation of outsourcing cooperation by cloud service and learning every dimension's weighting values using the Neihu Technology Park and Nankang Software Park in Taipei as the research subjects. The Analytic Network Process (ANP) has been adopted to analyze the relevance between dimensions, and find out the ordering of priority for every dimension's important factors and weighting. The research results have revealed a finding that one of the six factor dimension weights affecting the key factors of outsourcing cooperation by cloud service, all weights from the academics and industries are larger than 0.1. Thence, an agreement by both the academics and industries has indicated that (1) "Perceived Usefulness", (2) "Perceived Ease of Use", (3) "Trust of Security", (4) "User Attitude", (5) "Subjective Norm" and (6) "User Intention" all are significant index dimensions affecting key factors weight evaluation of outsourcing cooperation by cloud service. In spite of different opinions to the above six-dimension weightings, this difference comes from scholars' more theoretical perspectives, which believe among these six dimensions, "Trust of Security" mostly affecting outsourcing cooperation by cloud service; instead, industries' more practical perspectives believe "Adoptive Intention" mostly affecting outsourcing cooperation by cloud service. This result can be a reference for enterprises for outsourcing cooperation by “Cloud Service"
Structure and function of a sea urchin orthodenticle-related gene (HpOtx).

Two distinct types of orthodenticle-related proteins (HpOtxE/L) have been implicated as transcription activators of the aboral ectoderm-specific arylsulfatase (Ars) gene. Here, we describe the structure of HpOtx gene and present evidence that mRNAs of HpOtxE/L are transcribed from a single HpOtx gene by altering the transcription start site and by alternative splicing. By transactivation experiments, we have also demonstrated that HpOtxL activates the Ars promoter in the gastrula-stage embryo.
The Explanation of Social Conventions by Melioration Learning

In line with previous research, the evolution of social conventions is explored by n-way coordination games. A convention is said to be established if decisions of all actors synchronise over time. In contrast to the earlier studies, an empirically well-grounded process of reinforcement learning is used as behavioural assumption. The model is called melioration learning. It is shown by agent-based simulations that melioration enables actors to establish a convention. Besides the payoffs of the coordination game, the network structure of interactions affects actors' ability to coordinate their choices and the speed of convergence. The results of melioration learning are compared to predictions of the Roth-Erev model.
Innovation, Fast Seconds, and Patent Policy

We develop a model of innovation in which entrepreneurs develop a new (differentiated) product market that is subsequently exploited by a well-established firm that "stretches" its brand to enter a new market as "fast second". In this setting, there is a positive externality to the pioneering efforts of the intitial entrants that may well increase with the number of such entrants. We develop a model that exhibits this externality and use it to evaluate the design of patent policy--specifically patent breadth--with a view to encouraging the optimal amount of initial entry.
Mystery Shopping: Measurement Tool for Customer Intelligence Management

Mystery shopping got its start almost a century ago when trained "secret shoppers" were used to anonymously evaluate a business' operation and to measure employee integrity. The industry has evolved, as have the names used to describe it: secret shopping, performance monitoring or even customer research. This paper enhances previous conceptualizations of customer image and perception by introducing the concept referred to as Customer Intelligence management and its tool as mystery shopping. The exploratory research focused on identifying the concept of customer intelligence management and requirement of trained mystery shop auditors to tap the customer intelligence. The goals of this paper are (1) to discuss the enhanced conceptual and operational benefits of mystery shopping in respect of brand positioning. (2) to discussed the requirement of shop auditor to measure customer intelligence 3) Components constructed to train the shop auditors. To accomplish these goals, the paper discusses the conceptualization and operationalization of this measurement tool as mystery shopping. Ethical code for this measurement tool and discusses the implications for marketing practitioners by identifying the considerations for evaluating and managing customer-intelligence management.
Supervision Strategies for the Online Learning of an Evolving Classifier for Gesture Commands

Touch sensitive interfaces enable new interaction methods like using gesture commands. To easily memorize more than a dozen of gesture commands, it is important to be able to customize them. The classifier used to recognize drawn symbols must hence be customisable, able to learn from very few data, and evolving, able to learn and improve during its use. This work studies different supervision strategies for the online training of the evolving classifier. We compare six supervision strategies, depending on user interaction (solicitation by the system), and self-evaluation capacities (notion of reject). In particular, there is a trade-off between the number of user interactions, to supervise the online training, and the error rate of the classifier. We show in this paper that the strategy giving the best results is to learn from data validated by the user, when the confidence of the recognition is too low, and from data implicitly validated.
Weight loss in breast cancer patient management.

PURPOSE To systematically review and summarize evidence relevant to obesity and breast cancer clinical outcome, potential hormonal mediating mechanisms, and the current status of weight loss interventions for chronic disease management. METHODS A comprehensive, formal literature review was conducted to identify 5,687 citations with key information from 159 references summarized in text and tables. This process included a search for all breast cancer studies exploring associations among survival or recurrence and obesity at diagnosis or weight gain after diagnosis using prospective criteria. RESULTS On the basis of observational studies, women with breast cancer who are overweight or gain weight after diagnosis are found to be at greater risk for breast cancer recurrence and death compared with lighter women. Obesity is also associated with hormonal profiles likely to stimulate breast cancer growth. Recently, use of weight loss algorithms proven successful in other clinical settings that incorporate dietary therapy, physical activity, and ongoing behavior therapy have been endorsed by the National Institutes of Health and other health agencies. CONCLUSION Although definitive weight loss intervention trials in breast cancer patients remain to be conducted, the current evidence relating increased body weight to adverse breast cancer outcome and the documented favorable effects of weight loss on clinical outcome in other comorbid conditions support consideration of programs for weight loss in breast cancer patients. Recommendations for the clinical care of overweight or obese breast cancer patients are offered.
Bounded Opportunity: A Knowledge-Based Approach to Opportunity Recognition and Development

Abstract This article is premised on the underlying notion that knowledge is crucial to the opportunity recognition and development process. Springboarding from the insights of Atkinson and Stiglitz (1969) on the localized nature of knowledge accumulation, we define a feasible solution space and examine the implications of entrepreneurial knowledge in the recognition and development of opportunity within this space. Distinguishing between two forms of entrepreneurial knowledge, namely context dependent idiosyncratic knowledge or tacit knowledge, and codified knowledge, the primary aim of this article is to propose a knowledge-based model of opportunity within a bounded solution space. Our discussion of this model includes elaboration on how the composition of entrepreneurial knowledge predicts major path differences for the expansion and development of opportunities.
Statistical Analysis of a 1:7 Scale Field Test Wave Energy Converter Using WEC-Sim

This study uses the open-source wave energy converter simulator (WEC-Sim) code to model the Columbia Power Technologies SeaRay 1:7 scale WEC. WEC-Sim is intended to run quickly on standard desktop equipment and provide a very gentle learning curve for WEC modeling. This paper focuses on the linear implementation of WEC-Sim as that requires the least simulation time and is often the starting point for basic system design. WEC-Sim results are compared against the SeaRay experimental data. Two studies were conducted: A comparison of WEC-Sim predications versus experimental data across 285 trials of varying sea states to determine the overall average power and energy production; and a determination of WEC-Sim's accuracy in predicting the experimental ranges of position, speed, torque, and power. The study of average power production across many sea states shows that the WEC-Sim predicts the average power of the aft float well, within 15%, but the error in the fore float is larger at 34%. The error in total predicted power is 24%. The detailed analysis of range of motion shows WEC-Sim predicted 95th percentile outliers (which dominate the design considerations) in position, speed, and torque by +15%, +14%, and +17%, respectively, for the fore float and <inline-formula><tex-math notation="LaTeX">$-$ </tex-math></inline-formula>1%, <inline-formula><tex-math notation="LaTeX">$-$</tex-math></inline-formula> 9%, and <inline-formula><tex-math notation="LaTeX">$-$</tex-math></inline-formula>6%, respectively, for the aft float.
The p38 Pathway Provides Negative Feedback for Ras Proliferative Signaling*

Ras activates three mitogen-activated protein kinases (MAPKs) including ERK, JNK, and p38. Whereas the essential roles of ERK and JNK in Ras signaling has been established, the contribution of p38 remains unclear. Here we demonstrate that the p38 pathway functions as a negative regulator of Ras proliferative signaling via a feedback mechanism. Oncogenic Ras activated p38 and two p38-activated protein kinases, MAPK-activated protein kinase 2 (MK2) and p38-related/activated protein kinase (PRAK). MK2 and PRAK in turn suppressed Ras-induced gene expression and cell proliferation, whereas two mutant PRAKs, unresponsive to Ras, had little effect. Moreover, the constitutive p38 activator MKK6 also suppressed Ras activity in a p38-dependent manner whereas arsenite, a potent chemical inducer of p38, inhibited proliferation only in a tumor cell line that required Ras activity. MEK was required for Ras stimulation of the p38 pathway. The p38 pathway inhibited Ras activity by blocking activation of JNK, without effect upon ERK, as evidenced by the fact that PRAK-mediated suppression of Ras-induced cell proliferation was reversed by coexpression of JNKK2 or JNK1. These studies thus establish a negative feedback mechanism by which Ras proliferative activity is regulated via signaling integrations of MAPK pathways.
Towards easier visualization of linked data for lay users

There are lots of Linked Open Data (LOD) datasets published today. However, the possibilities of their consumption are very limited and certainly not suitable for lay users. A lay user is often insufficiently shielded from the RDF format, e.g. when facing resource IRIs. Also, he needs to be a domain expert to understand the published datasets as they are published in a form which provides as much information as possible. Typically, a middle man is needed to interpret the data for the lay users and to create an understandable view. However, due to the lack of LOD enabled tools, the data gets converted to a lesser data format such as CSV, XML or JSON and therefore looses its semantics. In this paper, we identify and formalize the current problems related to publishing Linked Data based visualizations and we propose a method of configuring views for lay users. Moreover, we present a tool, LinkedPipes Visualization Assistant (LPVA), which experimentally implements the proposed method. We also evaluate the implementation and present two experiments based on real world data.
High efficiency 20–400 MHz PWM converters using air-core inductors and monolithic power stages in a normally-off GaN process

This paper presents high efficiency dc-dc converters based on monolithic normally-off GaN half-bridge power stages with integrated gate drivers. A new gate driver circuitry is introduced, which enhances both the power stage efficiency and the converter overall efficiency. While using only n-type transistors in the GaN process, the proposed gate driver maintains low quiescent power consumption by emulating the complementary operation commonly employed in CMOS processes. Level shifting is accomplished using a bootstrap technique, with the bootstrap capacitor and the bootstrap diode integrated on the same chip. A family of monolithic GaN chips has been designed, targeting operation from up to 45 V, delivering up to 16 W of output power, and operating at 20-400 MHz switching frequencies. The GaN chips are verified in synchronous buck converters, demonstrating record peak power stage efficiencies of 95.0% at 20 MHz, 94.2% at 50 MHz, 93.2% at 100 MHz, 86.5% at 200 MHz, and 72.5% at 400 MHz.
Low Power Magnetic Flip-Flop Optimization With FDSOI Technology Boost

The planar ultrathin body and buried oxide fully depleted silicon-on-insulator (FDSOI) technology is one of the proper candidates to replace bulk CMOS due to its high volume, low cost, and lower power. In this paper, we investigate the performance of hybrid magnetic-MOS non-volatile (NV) magnetic flip-flops (MFFs) in the FDSOI technology. The NV-MFF performance parameters, e.g., active power, leakage power, and sensing delay, are optimized with selected design vectors: supply voltage (Vdd), forward body bias (FBB), and poly bias (PB). NVFF reliability can be improved by FBB performance compensation. The perpendicular magnetic anisotropy spin-torque transfer magnetic tunnel junction (MTJ) is used to design the MTJ/MOS hybrid MFFs. Two typical MFF circuits: master-slave MFF and multiplexing sense amplifier-based MFF are implemented and analyzed with the 28 nm FDSOI technology. The simulation results show that the MFFs in the FDSOI technology feature high energy efficiency and enhanced reliability. The energy efficiency of MFF is guaranteed by the proper selection of Vdd and FBB voltage. PB is useful for low leakage power design, with the tradeoff of additional sensing delay. The highest PB and the lowest BB transistor configuration lead to large improvements in leakage power consumption.