Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Injection Molding Simulation

A glance at the table of contents of the current volume shows that “injection molding” involves a variety of processes. These include gas and water assisted injection molding, powder injection molding, reaction injection molding, and foam injection molding. In addition we could add micro-molding, over-molding, and insert injection molding. Some aspects of simulation for some of these variants may be found in other chapters. An attempt to write an all encompassing history of simulation is indeed a daunting task and beyond the resources of this author and the allotted space in this volume. So, in this chapter we consider the development of simulation of the thermoplastics injection molding process to the extent that we cover the analysis of filling, packing, cooling, and warpage analysis with respect to industrial trends. Of course, one’s view of history is colored by one’s environment to some extent. I have tried to be objective and to focus on the major developments within this limited scope. If I have omitted a contribution – either academic or commercial, I do apologize. The views expressed here are my own and consequently I accept any fault. One thing that is certain is that simulation of injection molding, particularly flow analysis, has had a major impact on industry. Indeed the editors of Plastics Technology magazine, a leading industrial journal, recently proposed a list of the fifty most important innovations in the plastic industry [1]. Number one was the reciprocating screw injection molding machine, while simulation of injection molding was listed nineteenth. Whether one agrees with the editor’s list or not, simulation of injection molding has been an outstanding aid to industry.
Controlling nonlinear PDEs using low-dimensional bilinear approximations obtained from data.

In a recent article we presented a framework to control nonlinear partial differential equations (PDEs) by means of Koopman operator based reduced models and concepts from switched systems. The main idea was to interpret a control system as a set of autonomous systems for which the optimal switching sequence has to be computed. These individual systems can be approximated by reduced order models obtained from data, and one can guarantee convergence under certain assumptions. In this article we extend these results to continuous control inputs using linear interpolation between two Koopman operators corresponding to constant controls, which results in a bilinear control system. Although convergence can be proved when the PDE depends linearly on the control, we show that this approach is also valid in other scenarios using a flow control example.
Cloud service adoption by firms in Taiwan

Cloud services have become a particular concern for modern industries and enterprises as they have been shown to change human behavior, and thereby necessitate the renewal of business models. This study proposes a conceptual model, and creates an integrated vision from the perspective of Taiwanese firms, investigating their intentions when adopting cloud services. Structural equation modeling (SEM) and fuzzy set qualitative comparative analysis (fsQCA) are both adopted in this study in order to analyze response data (n=214). The SEM analysis results present the service characteristics: the foundation and management characteristics offered by cloud services have significant positive effects on firm trust. Perceived innovation characteristics regarding cloud services have proven to have different effects on firms’ perceived usefulness. The study connects these research findings and contributes to the theoretical development and empirical application of trust theory and cloud service marketing strategies in both academia and practice.
Making sense out of searching

The trouble with text retrieva lu sing keywords is that English words are imprecise: there may be man yw ords for the entity the user w ants, and each of these may also have other (unintended) meanings. To get closer to the dream of 'retrie ve what I mean, not what I say,' s ystems need to tak ei nto account the sense in which each word is used in the text stored, and to get from the user a more precise and complete statement of the concept sought. Recent research on machine- readable dictionaries and thesauri may soon mak et his a reality. Published in the Online Information Conference, Sydney, A ustralia, 1988. This version printed 15 July 1998. 1. Intr oduction Large databases of te xt containing information such as scientific papers, lega lc ases, newspaper archive sa nd library catalogues have b een common for man yy ears. Such databases are typically too lar ge to allo wau ser to scan the entire collection of te xt in search of an interesting item. Fo rt his reason more practicable and faster methods of retrieving pieces of text have been devised. One of these methods is called keyword retrie val. In this method a user specifies a keyword (or perhaps a boolean combination of k eywords) to be used in retrie val. F or example a simple query such as bridge would retrieve all articles containing the w ord 'bridge'. A boolean combination such as juice and not (apple or orange) might be used to find articles that mention 'juice' but are not concerned with fruit juices. The standard method of te xt retrie va lb yk eyword is fraught with difficulties caused by the imprecise nature of words. Section 2e xplains and attempts to solv et hese problems using the information contained in machine-readable dictionaries and thesauri. Other methods of retrie va lf rom a lar ge database allo wt he user to retrie ve a rticles that concern topics of interest to the user . F or example a user might want all the articles that are concerned with physiology . P revious implementations of this method of text retrieval have r equired the text to be classified by subject before this process can be used. This classification normally has to be performed manually . S ection 3 give sa method by which text classification can be automated.
Case Examination of Teacher-Tailored Student Evaluation of Teaching Augmented with Peer Observation of Teaching in a Vietnamese University

This study explored how teacher-tailored student evaluation of teaching (TT-SET) augmented with peer observation of teaching (POT) impacted on academics’ pedagogical reasoning in a Vietnamese university. The qualitative case study within the constructivist paradigm used multiple data collection methods. Detailed analysis developed findings through descriptions of individual academics’ experience of the intervention and analysis across participants (using thematic analysis). The intervention encouraged academics to reflect on their practice. This reflection promoted changes in their understandings of practice, actions to refine practice, future plans, and other outcomes (e.g., enhanced confidence, self-efficacy, sense of autonomy, and collegiality). However, there were several challenges which varied among the participants, including perceiving TT-SET as lacking reliability and validity, limited learning from junior peers, disagreement with feedback and lack of sensitivity, and limited time for POT and changes. The findings also suggested that among other factors, the nature of the peer relationship, which is under the impact of the Vietnamese Confucian collectivist culture, was important to successful implementation of the intervention. The theoretical framework developed for this study helps explain the changes in academics’ pedagogical reasoning, particularly reflection. The study contributes to the area of tertiary teacher development, both theoretically and practically. It offers insights into how such an approach may be effective, particularly in the context of Vietnamese higher education, and provides guidance for both practice and policies. It identifies what needs to be done to improve the implementation of the intervention. It also offers ideas for leaders to make institutional policies to support academics’ professional learning and development. Its findings contribute to understanding how the intervention works, and why it works in the Vietnamese context and also of academics’ reflection and reflective practice. The study includes recommendations for the use of TT-SET augmented with POT for promoting teacher reflection that may lead to changes in practice by addressing necessary conditions for the intervention to be effective. Further research is recommended into the nature of the peer relationship and the characteristics of the peer for POT (e.g., in terms of age, experience, gender, and discipline), the impact of contextual factors, the role of leaders in creating the culture of the learning community, the timing of the intervention, and the use of students’ learning outcomes to evaluate the effectiveness of changes.
Temporary deembedding buyer – supplier relationships: A complexity perspective

Research on buyer-supplier relationships has debated the advantages and disadvantages of embedded relationships. We join this debate by developing theory on the performance implications of relaxing embedded buyer-supplier relationships for a limited period of time—a previously neglected phenomenon we refer to as temporary de-embedding. To capture this phenomenon’s dynamic and complex nature, we use a combined-method approach. First, we conducted a longitudinal case study of the relationship between Nissan and a strategic first-tier supplier. This case study suggests that temporary de-embedding reinvigorates search and leads to higher performance for both the buyer and supplier. Second, we built a computational simulation model using the search perspective from complexity theory to complement the theory grounded in our case study. Our simulations confirm the case findings while shedding additional light on how frequency, duration, and intensity of de-embedding affect supply chain performance.
NLTE spectroscopic analysis of the 3He anomaly in subluminous B-type stars

Several B-type main-sequence stars show chemical peculiarities. A particularly striking class are the 3He stars, which exhibit a remarkable enrichment of 3He with respect to 4He. This isotopic anomaly has also been found in blue horizontal branch (BHB) and subdwarf B (sdB) stars, which are helium-core burning stars of the extreme horizontal branch. Recent surveys uncovered 11 3He sdBs. The 3He anomaly is not due to thermonuclear processes, but caused by atomic diffusion in the stellar atmosphere. Using a hybrid local/non-local thermodynamic equilibrium (LTE/NLTE) approach for B-type stars, we analyzed high-quality spectra of two known 3He BHBs and nine known 3He sdBs to determine their isotopic helium abundances and 4He/3He abundance ratios. We redetermined their atmospheric parameters and analyzed selected He I lines, including λ4922 Å and λ6678 Å, which are very sensitive to 4He/3He. Most of the 3He sdBs cluster in a narrow temperature strip between 26000 K and 30000 K and are helium deficient in accordance with previous LTE analyses. BD+48° 2721 is reclassified as a BHB star because of its low temperature (Teff = 20700 K). Whereas 4He is almost absent (4He/3He < 0.25) in most of the known 3He stars, other sample stars show abundance ratios up to 4He/3He ∼2.51. A search for 3He stars among 26 candidate sdBs from the ESO SPY survey led to the discovery of two new 3He sdB stars (HE 0929–0424 and HE 1047–0436). The observed helium line profiles of all BHBs and of three sdBs are not matched by chemically homogeneous atmospheres, but hint at vertical helium stratification. This phenomenon has been seen in other peculiar B-type stars, but is found for the first time for sdBs. We estimate helium to increase from the outer to the inner atmosphere by factors ranging from 1.4 (SB 290) up to 8.0 (BD+48° 2721).
Toward an Integrated Decision-Making Model for Consumer Electronic

ABSTRACT The study proposes an integrated comprehensive consumer decision-making model by extending the customer value, satisfaction, and loyalty framework to include customer experience as an antecedent to creating value and enhancing satisfaction toward technology continuance intention. Our study incorporates perspectives from information systems (IS) and service marketing, where customer value (hedonic and utilitarian) theory and literature on customer experience with perceived ease of use and perceived usefulness as its dimensions are found to be drivers of technology continuance intention for consumer electronics. In addition, partial least squares results from 370 smartphone users indicate that within consumer electronics, price negatively moderates the relationship between utilitarian value and satisfaction but not with hedonic value and satisfaction. Contributions of findings and implications are discussed to provide references for consumer electronic firms in IS and service marketing.
Automatic‐Renewal Contracts with Heterogeneous Consumer Inertia

Automatic contract renewals are a common feature in consumer markets. Since these contracts renew automatically unless a consumer actively cancels, firms can use them to exploit consumer inertia. As a source of inertia I study limited attention and investigate how firms use contract renewal to sell to consumers with different degrees of inattention. In monopolistic markets, adverse selection of more&#8208;attentive consumers limits the exploitation of naively inattentive consumers. When signing a contract, naively inattentive consumers overestimate their future probability to make an active cancellation decision. To exploit this mistake, the monopolist wants to target these consumers with large prices after contracts renew. These back&#8208;loaded contracts, however, adversely attract more&#8208;attentive consumers who cancel more often when choosing these exploitative contracts. To mitigate adverse selection, monopolists focus less on exploiting naively inattentive consumers. Adverse selection induces fewer consumer mistakes and can increase efficiency. I show that competition mitigates adverse selection, which induces firms to focus more on exploitation with more back&#8208;loaded pricing. I discuss implications for recently implemented policies on automatic&#8208;renewal contracts.
Topology API Use Cases

This document describes use cases for gathering routing, forwarding and policy information, (hereafter referred to as topology information), about the network. It describes several applications that need to view the topology of the underlying physical or logical network. This document further demonstrates a need for a "Topology Manager" and related functions that collects topology data from network elements and other data sources, coalesces the collected data into a coherent view of the overall network topology, and normalizes the network topology view for use by clients -- namely, applications that consume topology information.
Agent-Based Macroeconomics

Abstract This chapter surveys work dedicated to macroeconomic analysis using an agent-based modeling approach. After a short review of the origins and general characteristics of this approach a systemic comparison of the structure and modeling assumptions of a set of important (families of) agent-based macroeconomic models is provided. The comparison highlights substantial similarities between the different models, thereby identifying what could be considered an emerging common core of macroeconomic agent-based modeling. In the second part of the chapter agent-based macroeconomic research in different domains of economic policy is reviewed.
Microstrip Antennas The Analysis And Design Of Microstrip Antennas And Arrays

Description: Electrical Engineering/Antennas and Propagation Microstrip Antennas The Analysis and Design of Microstrip Antennas and Arrays Microstrip Antennas contains valuable new information on antenna design and an excellent introduction to the work done in the microstrip antenna area over the past 20 years. The articles are well–chosen and (are) complete with practical design information that is very useful for the working engineer. Stuart Long, University of Houston The editors have done an outstanding job in assembling this updated reprint book. It is a welcome addition to the list of books on microstrip antennas. There is no doubt that it will be a valuable source of information for graduate students, engineers and researchers the original articles are written lucidly and are very informative, and the reprint articles are well chosen. Kai Fong Lee, The University of Toledo Complete with an up–to–date tutorial overview of the field and substantial new, introductory material for each topic, Microstrip Antennas combines in one source a selection of today’s most significant and useful articles on microstrip and antenna design. Eminent experts David M. Pozar and Daniel H. Schaubert guide you through:
Personalising engagement with t-MALL “First time having my French class using iPads~!! Woohoo!!<3”

In foreign language learning, opportunities to practice the language are often confined to the classroom. Therefore, there is a need to allocate time during contact hours for communicative language tasks. Active learning challenges the students in meaningful activities in a socio-constructivist approach. In Malaysia, peer learning combined with technology mediated learning were observed successfully in engaging learners. Peer network as well as access to reference tools supported learning by increasing the learners’ confidence and motivation. A two-cycle action research was conducted over one semester to explore the implementation of active learning with a cohort of 24 beginner undergraduate students. The implementation of active learning was scheduled twice weekly in a computer laboratory. However, due to technical complications, the course was transferred once weekly to a lecture classroom. The lack of computers prompted the introduction of five additional iPads which were shared among learners. This article cyclically reflects upon the pedagogical and technological implementations of active learning and attempts to define the ideal settings to support classroom personalised and meaningful learning with an emphasis on the contributions of adopting tablet mobile assisted language learning (t-MALL).
On the Measurement of Upstreamness and Downstreamness in Global Value Chains

This paper offers four contributions to the empirical literature on global value chains (GVCs). First, we provide a succinct overview of several measures developed to capture the upstreamness or downstreamness of industries and countries in GVCs. Second, we employ data from the World Input-Output Database (WIOD) to document the empirical evolution of these measures over the period 1995-2011; in doing so, we highlight salient patterns related to countries’ GVC positioning – as well as some puzzling correlations – that emerge from the data. Third, we develop a theoretical framework – which builds on Caliendo and Parro’s (2015) variant of the Eaton and Kortum (2002) model – that provides a structural interpretation of all the entries of the WIOD in a given year. Fourth, we resort to a calibrated version of the model to perform counterfactual exercises that: (i) sharpen our understanding of the independent effect of several factors in explaining the observed empirical patterns in the period 1995-2011; and (ii) provide guidance for how future changes in the world economy are likely to shape the positioning of countries in GVCs.
Detecting commercial breaks in real TV programs based on audiovisual information

Detecting and extracting commercial breaks from a TV program is important for achieving efficient video storage and transmission. In this work , we approach this problem by utilizing both visual and audio information. Commercial breaks have several special characteristics such as a restricted temporal length, a high cut frequency, a high level of actions, delimiting black frames and silences, etc, which can be used for their separation from regular TV programs. A feature-based commercial break detection system is thus proposed to fulfill this task. We first perform a coarse-level detection of commercial breaks with pure visual information, since the high activity and the high cut frequency will somehow manifest themselves in the statistics of some measurable features. At the second step, we proceed to refine detected break boundaries by integrating audio clues. That is, there is always a short period of silence between commercial breaks and the TV program. Two audio features, i.e. the short- time energy and short-time average zero-crossing rate, are extracted for the silence detection purpose. At the last step, we return to the visual information domain again to achieve a frame-wise precision by locating the black frames. Extensive experiments show that by combining both visual and audio information, we can obtain accurate commercial break results.
The Growth Opportunities for SMEs

The extensive empirical literature on the validity of Gibrat’s law does not in general verify the law as it finds that firms’ growth rates are negatively correlated with both firm size and age. However, some studies find that Gibrat’s law holds for sub-samples of firms such as large firms or firms belonging to special industries. It has been pointed out that these results are due to the fact that the likelihood of firm survival for natural reasons is positively related to firm size and age. This study uses a relatively large and representative sample of Danish firms to evaluate the validity of Gibrat’s law for different kinds of firms over the period 1990 - 2003. In contrast to the majority of earlier studies our analysis corrects for the bias in the estimations by using variables related to the survival of small firms.
The Price Effects of Monetary Shocks in a Network Economy

Empirical evidence shows monetary shocks have two temporary effects on the distribution of prices. One, the dispersion of cross-section of prices increases in response to monetary shocks. Two, some prices change in the ‘wrong’ direction: some prices decrease in response to positive monetary shocks, and increase in response to negative monetary shocks. We present a model that generates the two effects of monetary shocks on the distribution of prices as an out-of-equilibrium phenomena. Firms are related to each other through a production network. Monetary shocks change the working capital of a subset of firms and percolate to other firms through buyer-seller linkages. Price dispersion increases because the percolation of a monetary shock through the production network causes prices to differentially deviate from their steady state values. Some prices change in the wrong direction because a shift in one firm’s demand causes a shift in another firm’s supply (and vice-versa), thereby generating complicated chains of bi-directional price changes. Monetary shocks can significantly disturb relative prices even when all prices are fully flexible.