Miracle-dz/UniFAR-FTUs huggingface dataset:
A SUSTAINABLE MANUFACTURING STRATEGY FRAMEWORK : THE CONVERGENCE OF TWO FIELDS

Pressing concerns about the sustainability of products and processes have compelled the manufacturing industry to transition from making mere economic-based decisions to envisioning more holistic goals encompassing economic, environmental and social perspectives. The intriguing results of this transformation include the development of various sustainability programs and initiatives that has increased for three decades. The myriad of research in this area focuses on creating opportunities that would minimise, if not eliminate, the impact of manufacturing activities on the natural environment and society. However, previous approaches seemingly detach their association to the competitive function of manufacturing. Maintaining competitiveness while pursuing sustainability has drawn interest from practitioners, but this area is inadequately explored in the current literature. Current research directions on sustainability in the manufacturing industry lack foundations on exploring mechanisms that maintain or improve the competitive function of manufacturing. The integration of sustainability issues into manufacturing strategy (MS) implies complex decision-making in manufacturing. Thus, this paper proposes a framework in formulating MS that addresses sustainability issues while taking into account the competitive function of manufacturing. The framework integrates classical theories of MS and sustainability issues derived from previous works. The proposed framework provides guidance for the decision-making of practitioners and researchers in developing a sustainable manufacturing strategy (SMS). This contributes to manufacturing planning at the firm level.
Towards Hierarchical Task Network Planning as Constraint Satisfaction Problem

In recent years, propositional logic encodings for HTN planning have seen many improvements and resulted in competitive planners. Modeling all kinds of features and constraints imposed by the task hierarchy, however, is very challenging in propositional logic, and has recently led to including pre-processing steps before creating the SAT formulas. Instead of using propositional logic, classical planning problems have previously been encoded as constraint satisfaction problems (CSPs), which are more expressive. Indeed, CSPs allow a more natural and convenient way of representing all constraints of the task hierarchy, yet only little work on using constraint solving methods in HTN planning exist. Hence, in this paper, we outline first ideas for encoding an HTN planning problem into a single CSP. Our motivation lies in obtaining constraint networks for HTN planning that we can solve with state-of-the-art solvers.
C ROSS - MODAL EMOTION RECOGNITION : H OW SIMILAR ARE PATTERNS BETWEEN DNN S AND HUMAN F MRI DATA ?

Deep neural networks (DNNs) have reached human-like performance in many perceptual classiﬁcation tasks including emotion recognition from human faces and voices. Can the patterns in layers of DNNs inform us about the processes in the human brain and vice versa? Here, we set out to address this question for cross-modal emotion recognition. We obtained functional magnetic resonance imaging (fMRI) data from 43 human participants presented with 72 audio-visual stimuli of actors/actresses depicting six different emotions. The same stimuli were classiﬁed with high accuracy in our pre-trained DNNs built according to a cross-channel convolutional architecture. We used supervised learning to classify four properties of the audio-visual stimuli: The depicted emotion, the identity of the actors/actresses, their gender, and the spoken sentence. Inspired by recent studies using representational similarity analyses (RSA) for uni-modal stimuli, we assessed the similarities between the layers of the DNN and the fMRI data. As hypothesized, we identiﬁed gradients in pattern similarities along the different layers of the auditory, visual, and cross-modal channels of the DNNs. These gradients in similarities varied in expected ways between the four classiﬁcation regimes: Overall, the DNNs relied more on the visual arm. For classifying spoken sentences, the DNN relied more on the auditory arm. Crucially, we found similarities between the different layers of the DNNs and the fMRI data in search-light
N A ] 14 A pr 2 01 4 ALE – SUPG finite element method for convection – di ff usion problems in time – dependent domains

The Streamline Upwind Petrov–Galerkin (SUPG) finite elemen t method for a transient convection– diffusion–reaction equation in time–dependent domains is prop osed and studied. In particular, a stabilized numerical scheme for a convection dominated tr ansient scalar problem in deforming domains is developed. The time–dependent domain is hand le by the arbitrary Lagrangian– Eulerian (ALE) approach, whereas the SUPG finite element met hod is used for the spatial discretization. Further, the backward Euler method is used for the temporal discretization. It is shown that the stability of the semidiscrete (in space) inco nsistent SUPG-ALE equation is independent of the mesh velocity, whereas the stability of the fu lly discrete problem is only conditionally stable. Moreover, the stability estimate of the fully d iscrete consistent SUPG-ALE equation is also derived, and it also depends the mesh velocity. Numer ical results are presented to show the influence of the SUPG stabilization parameter in a time-d ependent domain. Further, the proposed numerical scheme is applied to a boundary /interior layer problem in a time–dependent domain.
Empirical Study on Contribution of Technical Innovation to Economic Growth in Eastern China

By using Grey Relational Analysis (GRA) method and adopting some empirical data of invention patents application quantity and high technology industries added value, this paper comprehensively analyzes and compares contributions of technical innovation to economic growth of each region. These applied data come from some large-and-middle-scaled enterprises during the period from 2000 to 2005 of four regions in eastern China, namely, the Area Surrounding Bohai, Northeast Old Industry Base, Yangtze River Delta, Pearl River Delta. The results indicate that Northeast Old Industry Base has the highest synthetic correlation degree between invention patents application quantity and high technology industrial added value, and Yangtze River Delta and Pearl River Delta are secondary to it, and the Area Surrounding Bohai has the lowest synthetic correlation degree. Hereby we can conclude that the contribution of technical innovation to economic growth in the Area Surrounding Bohai is apparently lower than the other regions in eastern China; technical innovation in Yangtze River Delta and Pearl River Delta have comparatively stronger contribution to economic growth; the correlation between technical innovation and economic growth in Northeast Old Industry Base also seems comparatively stronger. This article further explains the generation of the above phenomena.
SEISMIC RELIABILITY ASSESSMENT OF A BRIDGE GROUND SYSTEM

Performance-based earthquake engineering (PBEE) is emerging as the next-generation design and evaluation framework under which new and existing structures will be analyzed for seismic adequacy. Various analytical approaches to PBEE are in development [1]. The PBEE methodology developed by the Pacific Earthquake Engineering Research (PEER) Center, headquartered at the University of California, Berkeley, is being exercised and illustrated on real, existing facilities (buildings, bridges, network of highway bridges, campus of buildings) called testbeds. This paper presents the application of the PEER PBEE methodology to one of the six PEER testbeds, namely the Humboldt Bay Middle Channel (HBMC) Bridge, one of three bridges that cross Humboldt Bay, near Eureka in northern California. It is a 330 meter long, nine-span composite structure with precast and prestressed concrete I-girders with cast-in-place concrete slabs, fairly representative of older AASHTO-Caltrans girder bridges with moderate traffic loads. It is supported on eight pile groups in soils potentially vulnerable to liquefaction during an earthquake, which could induce lateral spreading and permanent soil deformations. This bridge testbed is analyzed as a nonlinear structure-foundation-soil system.
IGBT Modules for Hybrid Vehicle Motor Driving 1

Influenced by international efforts to curb global warming, automobile manufacturers are focusing on environmental issues and are working to reduce CO2 emissions. Hybrid vehicles, currently being massproduced as ecologically friendly cars having low CO2 emissions, enjoy high public recognition and have rapidly become popular over the past several years. In a gasoline hybrid system, an electric motor that assists the combustion engine in the range from start-up to low speeds, for which the engine has poor efficiency, and regenerative brakes that efficiently recharge the battery when decelerating are used to improve fuel efficiency. The main components of a hybrid system are an electric motor, a battery and an inverter. The inverter is used as an electric power conversion system for supplying electrical energy from the battery to the motor, and for storing energy generated by the motor in the battery. IGBT (insulated gate bipolar transistor) modules are generally used as the main switching device in this electric power conversion system. IGBT modules first began to be used about 20 years ago, primarily in industrial equipment, and are now being used in electric power conversion systems for controlling motors in a wide range of fields, ranging from household appliances such as air conditioners to applications in the railroad industry. In recent years, the range of automotive applications has been expanded and development is aiming to realize IGBT modules having even higher levels of performance. Hybrid systems can be broadly categorized as either a dual-motor system (traction motor and generation motor) focused on travel performance or a singlemotor system that combines traction and generation functions and that is focused on miniaturization. The single-motor hybrid system, known as a parallel hybrid system (hereafter referred to as a parallel hybrid), is expected to increase in popularity with application to small vehicles where the parallel hybrid advantages of small size and light weight can be fully appreciated. This paper introduces Fuji Electric’s automotive IGBT modules that are ideally suited for inverters in parallel hybrids.
Ju n 20 12 A high-precision rf trap with minimized micromotion for an In + multiple-ion clock

We present an experiment to characterize our new linear ion trap designed for the operation of a many-ion optical clock using In as clock ions. For the characterization of the trap as well as the sympathetic cooling of the clock ions we use Yb. The trap design has been derived from finite element method (FEM) calculations and a first prototype based on glass-reinforced thermoset laminates was built. This paper details on the trap manufacturing process and micromotion measurement. Excess micromotion is measured using photon-correlation spectroscopy with a resolution of 1.1 nm in motional amplitude, and residual axial rf fields in this trap are compared to FEM calculations. With this method, we demonstrate a sensitivity to systematic clock shifts due to excess micromotion of |(∆ν/ν)mm| = 8.5× 10. Based on the measurement of axial rf fields of our trap, we estimate a number of twelve ions that can be stored per trapping segment and used as an optical frequency standard with a fractional inaccuracy of ≤ 1× 10 due to micromotion. Submitted to: New J. Phys.
Sustainability of Indonesian Culture in Global Contemporary Design: Study Case of Buginese Phinisi Ship

Indonesia reflect the natural diversity and splendor of the routes, moorings, and interiors among thousands of sea-bounded land masses forming this archipelago.Through this research writer will discuss one of the results culture originating in Indonesia, namely Buginese Phinisi ship. Buginese Phinisi ship is sustainability design because the Phinisi ship already exists in 14 century and continue to exist till this day, even a design are continuing developed according the global developments. This Study, Researcher use qualitative descriptive methodology based on picture, literature, and references after that researcher analyze data with STP (Segmentation, Targeting, Positions Product).
1 Test Runner & Dependency Analyzer

Numerous automated techniques have been proposed to reduce the cost of software debugging, a notoriously time-consuming and human-intensive activity. Among these techniques, Statistical Fault Localization (SFL) is particularly popular. One issue with SFL is that it is based on strong, often unrealistic assumptions on how developers behave when debugging. To address this problem, we propose Enlighten, an interactive, feedback-driven fault localization technique. Given a failing test, Enlighten (1) leverages SFL and dynamic dependence analysis to identify suspicious method invocations and corresponding data values, (2) presents the developer with a query about the most suspicious invocation expressed in terms of inputs and outputs, (3) encodes the developer feedback on the correctness of individual data values as extra program specifications, and (4) repeats these steps until the fault is found. We evaluated Enlighten in two ways. First, we applied Enlighten to 1,807 real and seeded faults in 3 open source programs using an automated oracle as a simulated user; for over 96% of these faults, Enlighten required less than 10 interactions with the simulated user to localize the fault, and a sensitivity analysis showed that the results were robust to erroneous responses. Second, we performed an actual user study on 4 faults with 24 participants and found that participants who used Enlighten performed significantly better than those not using our tool, in terms of both number of faults localized and time needed to localize the faults.
elating microbial community structure and environmental variables in angrove sediments inside Rhizophora mangle L . habitats eórgia

This study aimed to access the structure of microbial communities in sediments in the root zone of the red mangrove (Rhizophora mangle) in three sites with an increasing distance from the sea inside a mangrove forest in two distinct periods (dry and wet seasons) using denaturing gradient gel electrophoresis (DGGE). These data were correlated to environmental variables and sediments characteristics by using redundancy analysis (RDA) which revealed that the distribution of the microbial communities is signifi-
Study of the hγZ coupling using e+e− − → hγ at the ILC

We study the e+e− → hγ process at the International Linear Collider (ILC) to probe new physics in the hγZ coupling. The study is performed at a center of mass energy of 250 GeV and is based on the full simulation of the International Large Detector (ILD). The expected signal significance is found to be 0.53 σ for an integrated luminosity of 2000 fb−1 in the case of the standard model. The corresponding 95 % confidence level upper limit for the signal cross section is 1.08 fb for left-handed beam polarization. 1
Low-Temperature 3D Printing Technology of Poly (Vinyl Alcohol) Matrix Conductive Hydrogel Sensors with Diversified Path Structures and Good Electric Sensing Properties

Novel and practical low-temperature 3D printing technology composed of a low-temperature 3D printing machine and optimized low-temperature 3D printing parameters was successfully developed. Under a low-temperature environment of 0–−20 °C, poly (vinyl alcohol) (PVA) matrix hydrogels including PVA-sodium lignosulphonate (PVA-LS) hydrogel and PVA-sodium carboxymethylcellulose (PVA-CMC) hydrogel exhibited specific low-temperature rheology properties, building theoretical low-temperature 3D printable bases. The self-made low-temperature 3D printing machine realized a machinery foundation for low-temperature 3D printing technology. Combined with ancillary path and strut members, simple and complicated structures were constructed with high precision. Based on self-compiling G-codes of path structures, layered variable-angle structures with high structure strength were also realized. After low-temperature 3D printing of path structures, excellent electrical sensing functions can be constructed on PVA matrix hydrogel surfaces via monoplasmatic silver particles which can be obtained from reduced reactions. Under the premise of maintaining original material function attributes, low-temperature 3D printing technology realized functionalization of path structures. Based on “3D printing first and then functionalization” logic, low-temperature 3D printing technology innovatively combined structure–strength design, 3D printable ability and electrical sensing functions of PVA matrix hydrogels.
Gender-Based iTrust in E-Commerce: The Moderating Role of Cognitive Innovativeness

Despite the extensive academic interest in e-commerce, cognitive innovativeness in e-commerce context has been neglected. This study focuses on the moderating role of consumer cognitive innovativeness on the influencing factors of interpersonal trust (iTrust) towards online purchase intention of new product in business-to-consumer (B2C) e-commerce. Data were collected in Australia from consumers who has had prior online shopping experience. Variance-based structural equation modeling such as partial least squares (PLS-SEM) is used to test the research model. The results show men and women have different perceptions of what is important to be provided by an online store to make a positive shopping experience. We highlighted that in-addition to the e-commerce web design aspects; the individual cognitive innovativeness can influence females more to purchase online. Practitioners should adjust their online business strategies, considering consumer cognitive innovativeness to enhance their e-commerce desirable outcomes. This means online business should not treat their consumers as a uniform group with a ‘one-design-fits-all’ web design strategy but need to consider the individual needs of their male and female consumers.
Everyday racism and constructions of racial/ethnic difference in and through football talk

Earlier research has shown how football media use specific racial/ethnic stereotypes, thereby reinforcing certain hierarchies along the lines of race and ethnicity. We use a cultural studies perspective to explore the discourses surrounding race and ethnicity in football among Dutch multiethnic football media audiences when they talk about football. We have interviewed 30 participants in five focus groups to collect our data. Our analysis shows that everyday football talk mainly reproduces racial/ethnic stereotypes and everyday racisms, and that race and ethnicity intersect with other markers of difference like nation, culture and religion in the discourses people draw on. Which specific difference is prioritized depends on context and interview questions. Furthermore, our analysis shows that ethnic diversity is celebrated and supported but that this support is conditional and combined with reinforcing biologically and culturally informed racisms. Findings are discussed in a wider academic and societal context.
Choice of an ordering strategy taking into account of risks about customer service levels and on-hands inventories

This paper investigates the foundations of cooperative identity and how it is constructed by the organisation. More specifically, our research focuses on a financial cooperative in the simultaneously emerging and consolidating cultural sector. The originality of this paper lies in the methodology used—textual analysis. We use the Economies of Worth model developed by Boltanski & Thevenot (2006), which accounts for a plurality of legitimate forms of evaluation used in the processes of critique and justification.
Cross-Layer Design Techniques in MIMO-based WLANs

The IEEE 802.11n standard provides high data transmission rates with advanced signal processing techniques. However, the higher layer protocols do not effectively leverage this increase in physical layer performance. There is often a lot of error control and other performance improvement mechanisms implemented at the MAC (Medium Access Control) and higher layers to account for wireless link transmission failures due to a noisy channel, or poor transmission quality. In this research work, the performance of higher layer schemes with respect to the new physical layer improvements of the IEEE 802.11n standard is evaluated. Also, two schemes, namely the Adaptive MAN (modulation, number of antennas, frame aggregation constant) and the Conditional FEC (forward error correction) scheme have been proposed and their performance has been evaluated through extensive simulations. The first scheme, namely the adaptive MAN scheme has been proposed, in which physical layer parameters such as the number of antennas are dynamically changed depending upon the channel conditions. This scheme shows reduced throughput variance, lesser retransmission requests and better channel utilization. The second scheme, called conditional FEC scheme has also been proposed to reduce the error control overhead under “good” channel conditions. This scheme uses a combination of the adaptive physical layer parameters as well as the existing channel conditions to decide whether or not to use the FEC block of the physical layer. Simulation results show reduced latency and redundancy and thus improved overall system performance. Finally, the conclusions and future work is also presented. This thesis is dedicated to Akka For teaching me never to give up on myself.
On the Spread and Impact of Antidumping

This paper documents two key costs of AD protection. First, once AD has been adopted countries often have a difficult time restraining its use. In recent years 'new' users have accounted for half of the overall world total. Many of the heaviest AD users are countries who did not even have an AD statute a decade ago. Second, I will show that on average AD duties cause the value of imports to fall by 30-50%. I find that trade falls by almost as much for settled cases as those that result in duties. Interestingly, I also find that even for those cases that are rejected imports fall. The spread and impact of AD protection most surely implies that AD will continue to be a key negotiating item in the next WTO round.