Miracle-dz/UniFAR-FTUs huggingface dataset:
An investigation of constraint-based risk management for collaborative design

In the context of internationally challenging economic, design has been regarded as a key factor in assisting design and manufacturing companies to survive. By using up-to-date computer-supported technology, the global design collaboration based on multidisciplinary and distributed environment is becoming a mainstream to new product development (NPD). However, during the process of collaborative design, risk is rarely mentioned. In particular, due to the complexity of design process and lack of efficient design decision-making, there have been some design collaboration failures across multiple companies. Some design projects cannot deliver the benefits as companies have expected through the collaboration. Moreover, a number of stakeholders, managers and designers expressed their disappointment at not seeing the projected savings in cost and time, which critically discredited the value of design collaboration. Many studies in academia and commercial cases have suggested that risk assessment can be applied as an effective means in the realm of design. Nevertheless, few of them conducted risk management research associated with design constraints under a collaborative environment from both theoretical and practical perspectives. In current risk practice, many risk practitioners simply report key risks to their management teams and no further analysis, which might subsequently result in confusion with excessive discussions. Consequently, to prevent the failure of design collaboration and perform a satisfactory risk assessment, it is important to perform risk management with an upstream perspective and at an operational level. An approach, called constraint-based design risk management (DRM) where a conceptual framework has been proposed on the basis of collaborative design features, risk management process and Theory of Constraints (TOC). Moreover, a DRM matrix has been developed to map, measure and mitigate collaborative design risk
Enterococcus

This chapter discloses the emergence of enterococci as an important hospital-acquired or nosocomial pathogen since the early 1970s. It looks at the statistics from the National Nosocomial Infections Surveillance System (NNISS) and subsequent Centers for Disease Control and Prevention (CDC) programs (National Healthcare Safety Network), which places enterococci as the second most common gram-positive cause of nosocomial and bloodstream infections worldwide. It also analyzes the data from the SENTRY Antimicrobial Surveillance Program, which confirmed enterococci as the second most common gram-positive organisms responsible for bloodstream infections in US hospitals. This chapter examines the increased occurrence of enterococci since the mid-1970s in relation to patterns of general antimicrobial use in the hospital. It highlights the widespread use of extended-spectrum cephalosporins, penicillin-β‎-lactamase inhibitor combinations, fluoroquinolones, and carbapenems.
Using neural networks for error suppression in nonlinear systems with hysteresis

Some shortcomings of nonlinear systems with hysteresis are relatively big errors, e.g. linearity error, hysteresis error, etc. The paper deals with possible improvements in the methods of error suppression by using neural networks. Another aim of the paper is evaluation of measurement uncertainty. It reviews the procedures currently applied for measurement uncertainty calculation according to ISO Guide.
Reliability Model of Financial Reporting: Moderation and Mediation Effects

Public companies’ financial report must be published formally as a means of management accountability to shareholders for the resources they manage. The reliability of financial report is important for stakeholders as a basis for economic decision making. Therefore, this study aims to build reliability the model of financial report. First model put competence and independence as independent variables and second model put professional supervision and professional commitment as a moderator, and third model put audit quality as mediator. The population is 398 public accountants who work for public accounting firms throughout East Java. The samples of 187 public accountants are selected by purposive sampling technique. Data were collected with a questionnaire and analyzed using partial least square. The conclusions can be stated as follows. The financial report reliability model was built from: first, competence and independence as independent variables affected audit quality; second, professional supervision and professional commitment were able to moderate (strengthen) the relationship of competence and independence with audit quality; third, audit quality was able to mediate (increase) the effect of competence and independence on financial report reliability.
Spiral and solenoidal inductor structures on silicon using Cu-damascene interconnects

Spiral, multilevel spiral, and lateral solenoidal inductor structures are fabricated on silicon substrates using a Cu-damascene VLSI interconnect technology with a 4 /spl mu/m-thick Cu top layer. Some chips are mounted on quartz substrates to suppress substrate losses. An 80-nH, 16-turn spiral inductor on quartz has a Q of 20, the highest recorded value to date for an integrated inductor of this size.
Survey on Product Development Methods, Design Competencies, and Communication in Swedish Industry

This article presents the results of a questionnaire survey carried out during the spring of 2000. The results are based on the answers provided by a total of 99 respondents. Among other results the survey revealed that more than half of the responding companies have a formally documented strategy for product development work. Regarding disciplinary competencies, it is shown that design engineers are involved in practically all product development projects. Industrial designers are also widely employed, while ergonomics competence is used in less than half of the projects. Design engineering is the most widely employed competence in product development work for all investigated product development tasks, except for ergonomics and aesthetic design tasks. The latter are most commonly carried out by ergonomists and industrial designers, respectively. Most small companies experience good contact with end users, whereas larger companies appear less successful in that respect. The same result applies to perceived communication with other professional categories, as well as access to information. Most of the respondents including project managers, design engineers and development managers answered they have daily contact with design engineers. Among the same respondents, daily contact with industrial designers and ergonomists is very infrequent. Regarding opinions on the product development process, nearly half of the respondents stated they frequently discuss the use of methods and procedures. One third of the respondents agreed that a better-formulated process description than the currently used would facilitate product development work. It was also concluded that nearly one third of the respondents agreed on having difficulties reflecting upon ongoing work, due to, e.g., lack of time.
Clasificación y representación de emociones en el discurso hablado en español empleando Deep Learning

Inferir emociones a partir de la voz de las personas implica muchos problemas que necesitan ser estudiados cuidadosamente, tales como: qué emociones podemos identificar realmente, definir concretamente qué se entiende por cada emoción descripta, cuáles son las mejores características para la identificación y qué clasificadores dan el mejor rendimiento. En este trabajo se comparan dos modelos de redes neuronales para la clasificación de emociones en el discurso hablado (voz) y se propone un método para la transformación de enfoque categórico de clasificación de emociones a uno dimensional para la integración del clasificador con frameworks multimodales de captura de emociones.
Comparison of Analysis and Measurement Results for a ST1530 Loader Regarding Dynamic Behavior of Engine Cradle

This thesis is a measurement evaluation type of project in which to perform a harmonic response analysis were the results will be compared to measurement data to verify if the ANSYS model is realistic in terms of dynamics. This includes proposing the different parameters that will affect the results of the comparison as well as how to improve further models.In 2014 Atlas Copco received a special customer order of a ST1530 loader with a Detroit engine instead of a Cummins engine which is commonly used in the ST1530. New dynamic analyses had to be performed by the Applied Mechanics Group, regarding harmonic response using data from a measurement of a ST1520 loader with a Detroit engine. A new design of the engine cradle was developed after several analysis iterations. In February 2015, new measurements were performed on the loader with the right Detroit engine and a new engine cradle.There are two different comparison tools/methods used in this thesis, one that consists of comparing the difference between the mean average value of both the ANSYS and the measurements results. The other tool/method is more accurate since it compares both the variation between the peaks and also the offset of the frequency.Results show that the measurement results in 800 rpm were very compatible with the analysis results in ANSYS, meanwhile at high speed the measurement results were only moderately compatible with the analysis results. The vibration in 800 rpm doesn’t exceed the Atlas Copco rule of thumb as opposed to the 2173 rpm. This is only considering the cradle, the cooler however consists of higher vibrations than the measurement data. Their rule of thumb is defined as a boundary for the maximum allowable vibration values.The model could’ve been a lot more accurate if the use of CAD models of both the engine and the cooler were implemented in the analysis. This is desirable but it does not work all the time as companies for these products can not issue a CAD model due to, e.g. Patents and such.
Performance of winter rape (Brassica napus) based fuel mixtures in diesel engines

Winter rape is well adapted to the Palouse region of Northern Idaho and Eastern Washington. Nearly all of the current US production is grown in this region. Yields of 2200 to 2700 kg/ha with 45 percent oil content are common. Even though present production only 2000 to 2500 ha per year, the long history of production and good yields of oil make winter rape the best potential fuel vegetable oil crop for the region. Winter rape oil is more viscous than sunflower oil (50 cSt at 40/sup 0/C for winter rape and 35 cSt at 40/sup 0/C for sunflower oil) and about 17 times more viscous than diesel. The viscosity of the pure oil has been found too high for operation in typical diesel injector systems. Mixtures and/or additives are essential if the oil is to be a satisfactory fuel. Conversely, the fatty acid composition of witer rape oils is such that it is potentially a more favorable fuel because of reduced rates of oxidation and thermal polymerization. This paper will report on results of short and long term engine tests using winter rape, diesel, and commercial additives as the components. Selection of mixtures for long term screening tests wasmore » based on laboratory studies which included high temperature oxidation studies and temperature-viscosity data. Fuel temperature has been monitored at the outlet of the injector nozzle on operating engines so that viscosity comparisons at the actual injector temperature can be made. 1 figure, 3 tables. « less
An efficient and privacy‐preserving scheme for P2P energy exchange among smart microgrids

To date, increasing number of entities on the smart grid begin to establish their local energy generator for ensuring reliability and resilience of power supply. These ‘microgrids’ can either connect to the power grid or isolate themselves from the grid by consuming their locally generated or stored energy. In reality, some microgrids may have excessive energy while the others may have to request extra energy from the main grid. To better balance the demand and supply of the distributed smart microgrids, it is desired to develop peer‐to‐peer (P2P) energy exchange models that enable microgrids to interactively exchange their local energy instead of consuming energy delivered from the main grid. However, in this scenario, all the microgrids have to disclose their private information (e.g., demand load and energy storage amount) to each other in the exchange. To tackle these issues, in this paper, we first formulate several novel energy exchange optimization problems that minimize the global energy loss during the exchange in different scenarios, and then develop an efficient and privacy‐preserving scheme to solve the energy exchange optimization problems without private information disclosure. We also extend the privacy‐preserving scheme to a collusion‐resistant scheme in which all the microgrids cannot learn any additional information through colluding with each other. The performance of our proposed approaches is experimentally validated on real microgrid data. Copyright © 2015 John Wiley & Sons, Ltd.
Multiple Case Study Analysis

Part I: Single Cases. Situation and Experience. A Technical View of a Case. The Quintain. The Case-Quintain Dilemma. The Research Questions. The Particular and the General. The Contexts. Making the Individual Case Report. Part II: The Multicase Study. Staffing. Selecting Cases. Activity in Its Situation. Data Gathering across Cases . Triangulation within Cases. Part III: Cross-Case Analysis. Rationale. Reading the Collection. Cross-Case Procedure. Expected Utility of Cases and Ordinariness of Situations. The Grounds for Assertions. Cross-Case Assertions. Triangulation across Cases. Part IV: The Report. Planning the Multicase Report. Comparing Cases. Advocacy. Generalization. Part V: The Step by Step Case Study Project. The Open Society Institute and the International Step by Step Association. The Step by Step Approach. Previous Step by Step evaluations. Aims of the Step by Step Multicase Project. Developing Case Topics. Action Research. Themes for Cross-Case Analysis. The Teams and the Steering Group. Training the Case Researchers. Three Step by Step Case Studies. Part VI: The Ukraine Case Study. Part VII: The Slovakia Case Study. Part VIII: The Romania Case Study. Part IX: Step by Step Cross-Case Analysis: First Steps.
Assessing the sustainability performance of inter-urban intelligent transport

The implementation of ITS to increase the efficiency of saturated highways has become increasingly prevalent. It is a high level objective for many international governments and operators that highways should be managed in a way that is both sustainable i.e. environmental, social and economically sound and supportive of a Low-Carbon-Energy Future. Some clarity is therefore needed to understand how Intelligent Transport Systems perform within the constraints of that objective. This thesis describes the development of performance criteria that reflect the contributions of Information Communication Technology (ICT) emissions, vehicle emissions and the embedded carbon within the physical transport infrastructure that typically comprises three types of Intelligent Transport System. Active Traffic Management, Intelligent Speed Adaptation and the Automated Highway System are a collection of systems designed to transform the road network into a highly efficient and congestion free transport solution and all possess varying levels of uncertainty in terms of sustainability performance. The performance criteria form part of a new framework methodology ‘EnvFUSION’ (Environmental Fusion for ITS) outlined here. An attributional LCA and c-LCA (consequential lifecycle assessment) are both undertaken which forms part of a data fusion process using data from various sources. The models forecast improvements for the three ITS technologies in-line with social acceptability, economic profitability and major carbon reduction scenarios up to 2050 on one of the UK's most congested highways. Analytical Hierarchy Process and Dempster-Shafer theory are used to weight criteria which form part of an Intelligent Transport Sustainability Index. Overall performance is then synthesized. Results indicate that there will be a substantial increase in socio-economic and emissions benefits, provided that the policies are in place and targets are reached which would otherwise delay their realisation. To conclude, an integrated strategic performance management framework is proposed which performs socio-technical comparisons of four key performance areas between ITS schemes in order to identify energy and emission hotspots.
A Systematic Approach to Developing Isolated Interleaving Converters with a Single-Capacitor Turn-Off Snubber

This paper proposes a systematic approach to developing isolated interleaving converters with a single-capacitor turn-off snubber to smooth out switch turn-off transition. With the proposed approach, the basic isolated interleaving converters with a single-capacitor turn-off snubber, such as forward, flyback, isolated boost, isolated Cuk, isolated Zeta and isolated sepic converters, can be derived from the conventional ones with two lossless turn-off snubbers (L-C-D type). It has been shown that the structure of the proposed isolated interleaving converters can be conventionally simpied from the derived general configurations, reducing the complexity significantly. Measured results obtained from a prototype flyback converter have verified the feasibility and effectiveness of the proposed single-capacitor snubber.
GaAs/AlAs/InGaP heterostructure: a versatile material basis for cantilever designs

We report on the design, fabrication and initial mechanical testing of cantilevers with tips based on a GaAs/In0.485Ga0. 515P/AlAs heterostructure grown by metal organic chemical vapor deposition. They were produced using a dedicated technological process based on (1) the formation of integrated tips through an AlAs-assisted surface sacrificial wet-etching process and (2) the GaAs cantilever release fully protected between two InGaP etch-stop layers. 2 µm thick InGaP/GaAs/InGaP cantilevers had integrated pyramidal tips with the sides at ∼45° to (1 0 0). Metallic elements were processed close to the tip apexes using non-standard optical lithography. The cantilever release was accomplished using photolithography, Ar ion milling of InGaP and wet chemical etching of GaAs via resist layers deposited by a draping technique. A tip–cantilever prototype with length, width and thickness of 150, 35 and 2 µm, respectively, exhibited a resonance frequency of 66.2 kHz, which correlated well with a theoretical value of 57 kHz for a GaAs cantilever of identical dimensions.
Impact of Orientation on the Thermal Performances in Vernacular Buildings in Hot Arid Climate

Morocco faces enormous climatic constraints. A large part of the national territory has a hot and dry climate, hence the importance of the climate aspect in the choice of an energy saving strategy. The use of reinterpreted, decontextualized, totally or partially vernacular architectural techniques and/or forms is visible at different levels in the Maghreb countries. The large-scale integration of this aspect seems to be ignored by the designers. The objective of this research is to evaluate the impact of the building orientation and vernacular architecture towards the occupant comfort, in order to meet its energy and comfort needs at a lower cost on one hand, and on the other hand, to design more efficient collective buildings from a thermal and energy point of view. The proposed methodology allows examining the thermal performances of a traditional building under the climatic conditions of the city of Rissani in order to naturally control comfort summer and winter, in addition to ensure a good thermal comfort without using any heating or cooling system. Finally, the simulations carried out lead to the identification of the optimal orientation that demonstrates an effective reduction in indoor temperatures and a decrease in the large daily fluctuations in these temperatures. The research focuses on the influence of the orientation of a building's facades in relation to the solar radiation and on providing the necessary thermal comfort.
Evaluation of settlement of shallow foundations laid on unsaturated soils

The study presents an experimental and numerical study on an unsaturated, non-plastic and poorly graded sand, originated from Fortaleza-CE, Brazil. The numerical analyses used the Finite Element Method (FEM), were performed using the UNSTRUCT software to simulate the curve stress versus strain, considering the effect of suction on soil stiffness. Characterization and determination of the retention curve were performed through filter paper tests, which were used to determine the stress versus strain curve in a double-oedometer test. Suction was considered constant along the entire test. From the numerical analyses done with UNSTRUCT software presented satisfactory results, especially in the presence of suction profiles, that show the variation of suction along of the depth. It can be concluded that higher suction values (and soil stiffness) generate lower settlements.
Developing Omega-3 Fatty Acids-Enriched Animal Products by Feeding Defatted Microalgal Biomass from Biofuel Production

An increase in the public’s demand for health value-added food products has prompted experiments to fortify functional nutrients into commonly consumed animal products such as eggs and chicken (Sim and Qi, 1995; Surai and Sparks, 2001; Perić et al., 2011; Fraeye et al., 2012). Currently, the average American consumes over 40 kg of broiler chicken and 250 eggs annually (USDA Economic Research Service, 2006), making these products excellent candidates for the desired enrichments. While chicken meat and eggs provide abundant essential amino acids and other key nutrients, they are relatively high in omega-6 (n-6) fatty acids and low in omega-3 (n-3) fatty acids. The opposing physiological effects of n-6 and n-3 fatty acids render these nutrients to be referred to as potentially pro-inflammatory and anti-inflammatory, respectively (Schmitz and Ecker, 2008). For this reason, the ratio of n-6 to n-3 fatty acids in foods is considered an important factor for human health (Simopoulos, 2008).