Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing Interactive Paper-Craft Systems with Selective Inductive Power Transmission

Paper, as a traditional material for art and communication, shows great potential as a medium for organic user interfaces, with its ubiquity and flexibility. However, controlling and powering the sensors and actuators that enable interactive paper-crafts has not been fully explored. We present a method of selective inductive power transmission (SIPT) to support interactive paper-crafts. The novelty of this method is that the power transmitter can be controlled to selectively activate one specific receiver at a time through inductive power transferring with multiple receivers. This was achieved by changing the output frequency of the power transmitter to match the impedance of the receivers. The receivers could be embedded or printed to drive paper-crafts. Based on inductor–capacitor oscillating circuit and a function generator with a power amplifier, we developed two different prototypes of SIPT. By comparing the performance of both prototypes, we discussed the advantages and disadvantages of the two systems, and their applications in different contexts of paper-crafts. In addition, we proposed the instructions for using SIPT in developing interactive paper-crafts. With this technology and instructions, we hope to facilitate users to easily design new types of paper-craft systems without being concerned about the arrangement of wire connections to power supply on a massive scale.
Jeffrey's prior sampling of deep sigmoidal networks

Neural networks have been shown to have a remarkable ability to uncover low dimensional structure in data: the space of possible reconstructed images form a reduced model manifold in image space. We explore this idea directly by analyzing the manifold learned by Deep Belief Networks and Stacked Denoising Autoencoders using Monte Carlo sampling. The model manifold forms an only slightly elongated hyperball with actual reconstructed data appearing predominantly on the boundaries of the manifold. In connection with the results we present, we discuss problems of sampling high-dimensional manifolds as well as recent work [M. Transtrum, G. Hart, and P. Qiu, Submitted (2014)] discussing the relation between high dimensional geometry and model reduction.
A study on the dynamic response of a semi-submersible floating offshore wind turbine system Part 1 : A water tank test

A new semi-submersible floating structure was proposed on which three wind turbine towers would be installed. This paper presented the dynamic behaviors of the 1/150 scaled rigid model experiments in a water tank. A free vibration test was conducted in still water to obtain the natural periods for verifying the numerical model and modeling the damping ratio of the vertical motion in the part 2 of this study. To evaluate the dynamic behavior of the floater, regular wave tests were conducted with the wave heights 2,4,8cm, wave periods range 0.6~3.0s and the responses of floater were measured by using an optical system. The observed surges varied linearly with the wave height in the ranges of periods far from the natural period. However, the surges normalized by wave height had peaks around the natural period, and decreased significantly when wave heights increased. To investigate the effect of the wind turbines to the floater, collinear wave and wind tests were also conducted in the same wave condition, wind speed was set at 2 and 4m/s corresponding the operating and survival case of wind turbine, respectively. The observed surges showed that the peak responses of the floater decrease in the operating condition due to the aerodynamic damping from wind turbine, but there was little effect in the survival condition.
AN EVALUATION OF CLIMATE MODEL PRECIPITATION OVER THE UNITED STATES

Precipitation from select GCMs run for the IPCC AR4 is examined in this paper. A suite of twenty-three models was run in support of the AR4 effort. They have horizontal resolutions ranging from 1°-3°, approximately, and most of them no longer use flux adjustment (artificial adjustments to heat, water, and momentum fluxes) to maintain a stable control climate. As stated in the AR4, "[t]here is considerable confidence that climate models provide credible quantitative estimates of future climate change, particularly at continental scales and above" (Randall et al. 2007, pg. 600). This is because models have a physical foundation and the ability to represent current and past climate with reasonable accuracy. However, simulation for certain variables and processes is still better for some than for others. This paper will explore the simulation of precipitation in five of the models used in the AR4 over the US, focusing on summertime precipitation. As all aspects of this review are problematic for the AR4 suite of models in terms of the size of the region, the variable chosen, and the season of interest in the chosen region, this effort mainly aims to identify the specific inaccuracies over the US and discuss potential reasons for their existence. Therefore, this paper will focus on precipitation from simulations of the 20th century, but we will take a brief look at some aspects from simulations of future climate.
Trans‐Pacific transport of Saharan dust to western North America: A case study

[1] The first documented case of long-range transport of Saharan dust over a pathway spanning Asia and the Pacific to western North America is described. Crustal material generated by North African dust storms during the period 28 February to 3 March 2005 reached western Canada on 13–14 March 2005 and was observed by lidar and sunphotometer in the Vancouver region and by high-altitude aerosol instrumentation at Whistler Peak. Global chemical models (GEOS-Chem and NRL NAAPS) confirm the transport pathway and suggest source attribution was simplified in this case by the distinct, and somewhat unusual, lack of dust activity over Eurasia (Gobi and Takla Makan deserts) at this time. Over western North America the dust layer, although subsiding close to the boundary layer, did not appear to contribute to boundary layer particulate matter concentrations. Furthermore, sunphotometer observations (and associated inversion products) suggest that the dust layer had only subtle optical impact (aerosol optical thickness (τa500) and Angstrom exponent (α440–870) were 0.1 and 1.2, respectively) and was dominated by fine particulate matter (modes in aerodynamic diameter at 0.3 and 2.5 μm). High-altitude observations at Whistler, British Columbia, confirm the crustal origin of the layer (rich in Ca++ ions) and the bimodal size distribution. Although a weak event compared to the Asian trans-Pacific dust events of 1998 and 2001, this novel case highlights the possibility that Saharan sources may contribute episodically to the aerosol burden in western North America.
Bunch Lengthening and Microwave Instability

A single-bunch instability that leads to blow-up of bunch area and microwave signals (100 MHz to 3 GHz) has been observed in the pS1) and the ISR2). A similar instability may cause bunch lengthening in electron storage rings. Attempts to explain this as a high-frequency coasting-beam instability require e-folding rates faster than a synchrotron period, and wavelengths shorter than a bunch length. In this case, the usual Keil-Schnell coasting-beam criterion3) is used, but with local values of bunch current and momentum spread, as suggested by Boussard1). This yields |Z/n| ¿ 13 ¿ for the ISR, and values about five to ten times larger for the PS. The restricitons mentioned above, however, are not fulfilled near threshold, or for frequencies as low as 100 MHz.
National Security Applications Co-Design : A Framework for an ASC Tri-lab Project

Introduction The challenges facing Advanced Simulation and Computing (ASC) Engineering and Physics Integrated Codes (EPICs, or simply “integrated codes”) designers and developers and platform acquirers during this decade—and into the next—are daunting. It has been well understood for several years that a paradigm shift in computer design is under way – one requiring developers to treat memory as scarce, locality as critical, and compute power and parallelism as a relatively cheap resource. In addition, electrical power requirements for the next 1000-fold leap in computing power are such that vendors are proposing exotic and creative ways to extract an increasing number of flops-per-watt. Whether through the use of accelerators such as GPUs, or massive parallelism using shared memory, coming architectural changes will necessitate significant redesign, and quite possibly complete rewrites, of many EPICs. ASC EPICs are somewhat unique in the DOE due to their extreme size, complexity, and programmatic mission, making it impractical to pause and rewrite upon delivery of each new platform in the next generation of architectures.
Audit, tax compliance and undeclared work: an empirical analysis

To encourage tax compliance towards the Italian tax contributive system, the Italian Social Security Institute (INPS) develops a number of audits intothe Italian firms. The aim of these inspections is to detect possible evasions and to threaten cheating enterpreneurs with penalties, if necessary. In our case "to cheat" means to hide a part of the labor forces to the authority, underdeclaring their real dimensions and thus to evade a certain amount of social-insurance taxes. In this paper we particularly focus on showing how it is possible to use individual audit data to better understand the relation between inspections and tax compliance, and consequently the relation between the policy of auditing and undeclared work. A new source of data was built for this purpose, merging information about firms with individual audit data. Our analysis is developed as follow: after a brief introduction, we describe the dataset and we give some details on the procedures used by inspectors. Then we show a simple model of auditing in order to enlighten relation between audit policy and work force declaration. The second part of the analisys, mainly empirical, attempts to explain how to estimate undeclared work starting from our new source of data, after that, we assess two microeconometric policy evaluation analysis. Our aim is to nderstand the relation that lies between the policy of auditing and a) the propensity to declare workers; b) the number of black workers implied in the labour market.
End-to-End Language Identification Using Attention-Based Recurrent Neural Networks

This paper proposes a novel attention-based recurrent neural network (RNN) to build an end-to-end automatic language identification (LID) system. Inspired by the success of attention mechanism on a range of sequence-to-sequence tasks, this work introduces the attention mechanism with long short term memory (LSTM) encoder to the sequence-to-tag LID task. This unified architecture extends the end-to-end training method to LID system and dramatically boosts the system performance. Firstly, a language category embedding module is used to provide attentional vector which guides the derivation of the utterance level representation. Secondly, two attention approaches are explored: a soft attention which attends all source frames and a hard one that focuses on a subset of the sequential input. Thirdly, a hybrid test method which traverses all gold labels is adopted in the inference phase. Experimental results show that 8.2% relative equal error rate (EER) reduction is obtained compared with the LSTM-based frame level system by the soft approach and 34.33% performance improvement is observed compared to the conventional i-Vector system.
Modeling hurricane impacts on beaches, dunes and barrier islands

In order to address such questions the Morphos-3D project was initiated. This project brings together models, modelers and data on hurricane winds, storm surges, wave generation and nearshore processes (wave breaking, surf and swash zone processes, dune erosion, overwashing and breaching). For modeling nearshore processes the authors were funded by the European Research Office of USACE-ERDC to provide advice and algorithms, After some iterations the best way to do this was found to be the development of an open-source program dedicated to this problem. This program was given the name of XBeach for eXtreme Beach behavior model,
Pulmonary and generalized lysosomal storage induced by amphiphilic drugs.

Administration of amphiphilic drugs to experimental animals causes formation of myelinoid bodies in many cell types, accumulation of foamy macrophages in pulmonary alveoli and pulmonary alveolar proteinosis. These changes are the result of an interaction between the drugs and phospholipids which leads to an alteration in physicochemical properties of the phospholipids. Impairment of the digestion of altered pulmonary secretions in phagosomes of macrophages results in accumulation of foam cells in pulmonary alveoli. Impairment of the metabolism of altered phospholipids removed by autophagy induces an accumulation of myelinoid bodies. The administration of amphiphilic compounds thus causes pulmonary intra-alveolar histiocytosis which is a part of a drug-induced lysosomal storage or generalized lipidosis. The accumulation of drug-lipid complexes in myelinoid bodies and in pulmonary foam cells may lead to alteration of cellular functioning and to clinical disease. Currently over 50 amphiphilic drugs are known. Unique pharmacological properties necessitate clinical use of some of these drugs. The occurrence and severity of potential clinical side effects depend on the nature of each drug, dosage and duration of treatment, simultaneous administration of other drugs and foods, individual metabolic pattern of the patient and other factors. Further studies on factors preventing and potentiating adverse effects of amphiphilic drugs are indicated. ImagesFIGURE 1.FIGURE 2.FIGURE 3.FIGURE 4.FIGURE 5.FIGURE 6.FIGURE 7.FIGURE 8.FIGURE 9.FIGURE 10.
Oil at work ; Natural resource effects on Household Well being : Evidence from Ghana ∗

The extraction of natural resources can have social and economic impacts on residents living in the neighbourhood of extraction. Existing micro level studies examining natural resources impact like oil have focused on developed economies and employed mean type estimation techniques. This paper focuses on developing economies with Ghana as a case study and examines the effect of oil extraction across the distribution of households’ expenditure and remittances. Using household level data, we employ an unconditional quantile difference-in-differences strategy to show that oil extraction has a positive effect on low expenditure or poor households but negative effects for high expenditure or rich households. The results are broadly consistent with predictions based on microeconomic theory proposed by Engel given a downward sloping effect on households’ food expenditure and an upward slope on non-food expenditure. This indicates households’ preference for normal goods when there is a shock in income. Moreover, we find that households affected by the oil shock are more altruistic with an increase in remittances over the sample period. This seemingly gained effect, however, is eroded with rising prices leading to a fall in the welfare of households.
Time-resolved broadband analysis of slow-light propagation and superluminal transmission of electromagnetic waves in three-dimensional photonic crystals

A time-resolved analysis of the amplitude and phase of THz pulses propagating through three-dimensional photonic crystals is presented. Single-cycle pulses of THz radiation allow measurements over a wide frequency range, spanning more than an octave below, at and above the bandgap of strongly dispersive photonic crystals. Transmission data provide evidence for slow group velocities at the photonic band edges and for superluminal transmission at frequencies in the gap. Our experimental results are in good agreement with finite-difference-time-domain simulations.
Management practices and innovation capacity in enterprises

This paper reports on a project which seeks to ide nt fy the role of human capital formation in promoting innovation in Australian enterprises and the ways in which enterprises can improve their human resource management and learnin g and development practices to improve their innovation performance. There are a number of factors that affect enterprises’ ability to innovate. These include internal factor s such as the ability to detect technological changes in the environment, the development of core mpetencies from which innovation can develop and external factors such as the maturi ty of the market which the enterprise serves and the impact of government policy to stimu late innovation. A range of studies have suggested that human factors within the enterprise are critical to innovation. However, these studies have not established exactly what practices enterprises need to put in place to improve their “innovation capacity”. This paper reports the results from the research. The research method involved a survey of over 2,500 business ent erprises and 7 case studies drawn from the manufacturing, ICT and finance industries. The paper will discuss the major findings from the research.
Household Waste Management Among Riverside Communities and Other Determinants

Littering was recognized as an important cause of environmental pollution and was related to health problems. Banjarmasin city has been achieved the predicate of Adipura in 2015, but in reality there were still many drainage that clogged because of the pile of garbage, especially in the river. Management and disposal of household waste was an important issue in the city of Banjarmasin. The purpose of this study was to identify socioeconomic and demographic factors related to family members’ knowledge, practice, and behavior related to household waste management and produce corrective action plans. This study uses cross-sectional design. The study population is people in the city of Banjarmasin who live on the edge of the river and meet the sample inclusion and exclusion criteria. Sampling was done using multistage random sampling method. Binary logistic regression was used for data analysis. We found that education level, household income, and sex were independently linked to littering. We also found that communities have unsafe knowledge, practices, and behaviors in relation to waste management. This study concludes that promotion of environmental information and public education on proper waste disposal needs to be done to improve the health and safety of the community environment.
Analysis and Optimization of MAG welding Parameters Using Genetic Algorithm

Metal active Gas (MAG) welding is one of the widely used techniques for joining ferrous and non-ferrous metals. In this experiment Design of Experiment method was used. Investigation of MAG welding parameter optimization for good penetration and surface quality is very important to improve the technology of MAG welding application. The aims of this thesis was examine effects of eight MAG welding parameters on Mild Steel specimens which have dimension 150 mm x 100 mm x thickens, by metal active gas. These welding parameters are amperage, arc voltage, welding speed, stick-out length, welding angle, shielding gas, material thickens were selected for the DOE based on the selection criteria for investigated depth of joint penetrations and welding porosity on butt joint. By used the optimization tool the thesis deals with the input parameters of MAG welding and examines the interaction between welding parameters and its response. As the DOE indicated MAG welding parameters are the most important factors to control welding quality, productivity and failure cost. The Experiments was conducted based on taguchi and root cause analysis diagram. Root cause identification for quality and productivity related problems are key issues for manufacturing processes. The experimental work was conducted to optimize the input process parameters to get optimum welding quality. By used DOE each welding parameter their influence for porosity and joint penetration were investigated. Analysis and optimization of MAG welding parameters were conducted based on ANOVA and GA respectively. Based on the optimized parameters welding porosity decrease by 3.92%, 3.34 %, 3% in flat, horizontal and vertical welding position respectively with maximum penetration of 4.61, 3.71, 3.21 mm, respectively of the welding position at the shielding gas of 12 L/min were found as the result of DOE indicated amount of shielding gas not affected by the welding position that’s way shielding gas of 12 L/min were led for the three welding positions.  Key point, MAG welding, DOE, root cause analysis, GA, ANOVA
NMDA antagonist effects on striatal dopamine release: Microdialysis studies in awake monkeys

Brain imaging studies have suggested that the NMDA antagonist ketamine is as potent a releaser of striatal dopamine as amphetamine. This conclusion contradicts microdialysis findings in the rodent that NMDA antagonists, in contrast to amphetamine, have little or no effect on striatal dopamine release. The present study addressed two mechanisms that could account for this discrepancy: 1) whether there is a species difference, i.e., rodents vs. primates, in the responsivity of striatal dopamine to NMDA antagonists, and 2) whether rapid uptake of dopamine prevents reliable measures of synaptic dopamine release by microdialysis in response to NMDA antagonists. MRI‐directed in vivo microdialysis was used to compare the effects of psychotomimetic NMDA antagonists phencyclidine (PCP), ketamine, and amphetamine on extracellular striatal dopamine levels in awake rhesus monkeys. The effect of PCP was also investigated in the presence of intrastriatally applied nomifensine, a dopamine uptake blocker. Amphetamine (0.1 or 0.4 mg/kg) produced robust and dose‐dependent increases in dopamine release ranging 2–10‐fold above baseline. PCP at 0.1 mg/kg had no effect and at 0.3 mg/kg produced a small 50% increase over baseline. Ketamine, at the relatively high dose of 5 mg/kg, produced only a 30% increase in dopamine release. Intrastriatal application of nomifensine did not influence the effect of PCP, suggesting that rapid uptake of dopamine is not preventing the detection of a PCP‐induced increase in dopamine release. These findings suggest that in the primate, ketamine and PCP are not effective dopamine releasers, as has been suggested by previous imaging studies. Synapse 43:12–18, 2002. © 2002 Wiley‐Liss, Inc.
Mangosteen Genetics and Improvement Sobir

Mangosteen (Garcinia mangostana L.) originated from natural hybridization of G. malaccensis and G. hombrioniana. Mangosteen is reproduced from adventitious embryos, from which the seed develops without fertilization, i.e. agamospermy or apomixis. Studies on mangosteen flowers revealed that the stamens and pistils developed at an early stage of flower development, however subsequently staminate growth is stunted and aborted. Apomictic reproduction leads to the assumption that mangosteen trees have same genetic properties. However, field evaluation showed variability in several morphological characters, such as tree shape, fruit shape, and petal color. Further studies using DNA markers confirmed genetic variability among the mangosteen population. The variation may have arisen from accumulation of natural mutations. Another hypothesis is that the mangosteen population may have developed from more than a single hybridization of its two wild progenitor species. Crop improvement has been conducted using mutation breeding through application of gamma ray irradiation on seed callus, as well as on cell culture. Early results indicated genetic variability increased threefold compare to that of natural levels as detected by RAPD analysis. _____________________________________________________________________________________________________________