Miracle-dz/UniFAR-FTUs huggingface dataset:
MARKET INFORMATION MANAGEMENT IN PRODUCT DESIGN

Facing a competitive environment, organizations have sought new strategies in their businesses, with emphasis on product development, in which design plays an important role. To handle this scenario, the organization needs to be responsive to consumer needs, new opportunities, environmental factors and competition. Such information is collected through market research to be later disseminated among all sectors of the organization and used to improvement or creation of new products. The aim of this study was to understand how the information collected on the market is managed in product development. In order to do so, a qualitative research in two large and medium sized organizations in Rio Grande do Sul was carried out. Through the observation of the product development process that begins with the market research and results in the final product, we identified how the search for market information is conducted as well as the role of the designer in the organizations which were studied regarding the three dimensions of the Design Management. In this research questions were also raised questions about the involvement and communication among the sectors responsible for market research and product design and the way the information processing stages are conducted in the organizations.
Stochastic modeling of the influence of environment on pitting corrosion damage of radioactive-waste containers

A physically-based, phenomenological stochastic model for pit initiation and growth is presented as a potential tool for predicting the degradation of high-level radioactive-waste containers by aqueous pitting corrosion. Included in the model are simple phenomenological equations describing the dependence of the controlling stochastic parameters on the applied (or corrosion) potential, chloride ion concentration, and absolute temperature. Results from this model are presented that demonstrate its ability to simulate several important environmental effects on pitting.
Influence of anthropogenic features and traffic disturbance on burrowing owl diurnal roosting behavior

Birds that forage nocturnally should select daytime roosts that minimize predation risk to themselves, maximize their ability to warn mates or young about predators, and reduce their exposure to inclement weather. The objective of this study was to identify landscape features used by burrowing owls Athene cunicularia hypugaea during the day and to determine if traffic disturbance altered patterns of daytime space use. We tracked 17 adult male owls for 0.6 to 2.8 d each with GPS dataloggers and used resource utilization and resource selection functions to examine the response of each owl to nest burrows, perches, and roads. Selection for roads de - creased as average vehicle speed increased. Roads with vehicle speeds > 80 km h −1 were avoided. Owls may avoid roads with high traffic speeds because auditory disturbance from passing vehi- cles interferes with their ability to communicate the presence of predators to their mates and young. Owls also spent more time near fences and posts, likely because these elevated perches are good vantage points for predator detection. Perches near burrowing owl nests should be main- tained, and speed limits on roads near burrowing owl nests should be set to <80 km h −1 to help ensure owls are able to effectively detect and react to predators.
Study of multiphoton final states and tests of QED in e+eâˆ’ collisions at s up to 209Â GeV

The process e+e− → nγ with n 2 is studied at centre-of-mass energies ranging from √s = 192 to 209 GeV. The data sample corresponds to a total integrated luminosity of 427 pb−1. The total and differential cross sections are found to be in agreement with the QED expectations. Using all the data collected with the L3 detector above the Z pole, limits on deviations from QED, excited electrons, contact interactions, extra space dimensions and excited spin-3/2 leptons are set.  2002 Elsevier Science B.V. All rights reserved.
Characterization of genes involved in the formation of aroma volatiles in 'Charentais' melon fruit

Volatiles esters impart distinct characteristics to the fruit quality. 'Charentais' cantaloupe melon (Cucumis melo 'cantalupensis') is characterized by abundant sweetness and aromatic flavour. Plant alcohol acyl transferase (AAT) genes have been identified and shown to be involved in aromas production. Recently, two cDNAs (Cm-AA T 1 and Cm-AAT 2 ) putatively involved in the formation of aroma volatile esters have been isolated from melon fruit. Cm-AAT 1 protein exhibit alcohol acyl transferase activity while no such activity could be detected for Cm-AAT 2 . Two new cDNAs (Cm-AATj and Cm-AAT 4 ) have been isolated from melon fruit that showed 69% and 36% similarity, respectively, with Cm-AAT 1 . The percentage similarity over the whole amino acid sequence between them is 34%. Cm-AAT 3 and Cm-AAT 4 show the highest similarity to the tobacco Nt-HSR201 protein and a rose alcohol acyltransferase Rh-AAT 1 , respectively. All Cm-AATs genes, share three conserved regions common to the BAHD acyltransferase gene superfamily. Heterologous expression in yeast revealed that some of the encoded proteins have a wide range of specificity while others are specific to a narrow range of substrates.
FACTORIZATIONS OF NORMALITY VIA GENERALIZATIONS OF β-NORMALITY

The notion of β-normality was introduced and studied by Arhangel’skii, Ludwig in 2001. Recently, almost β-normal spaces, which is a simultaneous generalization of βnormal and almost normal spaces, were introduced by Das, Bhat and Tartir. We introduce a new generalization of normality, namely weak β-normality, in terms of θ-closed sets, which turns out to be a simultaneous generalization of β-normality and θ-normality. A space X is said to be weakly β-normal (wβ-normal) if for every pair of disjoint closed sets A and B out of which, one is θ-closed, there exist open sets U and V such that A ∩ U = A, B ∩ V = B and U ∩ V = ∅. It is shown that wβ-normality acts as a tool to provide factorizations of normality.
Gene-7 / Interleukin-24 and Perillyl Alcohol Associated − Inhibition by Melanoma Differentiation Pancreatic Cancer Cell Growth In vitro Mechanism

The death rate for pancreatic cancer approximates the number of new cases each year, and when diagnosed, current therapeutic regimens provide little benefit in extending patient survival. These dire statistics necessitate the development of enhanced single or combinatorial therapies to decrease the pathogenesis of this invariably fatal disease. Melanoma differentiation–associated gene-7/interleukin-24 (mda-7/IL-24) is a potent cancer gene therapeutic because of its broad-spectrum cancer-specific apoptosis-inducing properties as well as its multipronged indirect antitumor activities. However, pancreatic cancer cells show inherent resistance to mda-7/IL-24 that is caused by a block of translation of mda-7/IL-24 mRNA in these tumor cells. We now reveal that a dietary agent perillyl alcohol (POH) in combination with Ad.mda-7 efficiently reverses the mda-7/IL24 ‘‘protein translational block’’ by inducing reactive oxygen species, thereby resulting in mda-7/IL-24 protein production, growth suppression, and apoptosis. Pharmacologic inhibitor and small interfering RNA studies identify xanthine oxidase as a major source of superoxide radical production causing these toxic effects. Because both POH and Ad.mda-7 are being evaluated in clinical trials, combining a dietary agent and a virally delivered therapeutic cytokine provides an innovative approach for potentially treating human pancreatic cancer. [Cancer Res 2008;68(18):7439–47]
Free-electron lasers driven by laser plasma accelerators

Laser-plasma accelerators (LPAs) have the potential to drive compact free-electron lasers (FELs). Even with LPA energy spreads typically at the percent level, the e-beam brightness can be excellent, due to the low normalized emittance (<0.5 µm) and high peak current (multi-kA) resulting from the ultra-short e-beam duration (few fs). It is critical, however, that in order to mitigate the effect of percent-level energy spread, one has to actively manipulate the phase-space distribution of the e-beam. We provide an overview of the methods proposed by the various LPA FEL research groups. At the BELLA Center at LBNL, we are pursuing the use of a chicane for longitudinal e-beam decompression (therefore greatly reducing the slice energy spread), in combination with short-scale-length e-beam transportation with an active plasma lens and a strong-focusing 4-m-long undulator. We present ELEGANT & GENESIS simulations on the transport and FEL gain, showing strong enhancement in output power over the incoherent backgr.
an Oncolytic Vaccinia Virus Expressing 4-1 BB Ligand Host Lymphodepletion Enhances the Therapeutic Activity of

Oncolytic viral vectors have shown promise as antitumor therapeutic agents but their effectiveness is complicated by induction of antiviral antibody responses and rapid host clearance of recombinant vectors. We developed a recombinant oncolytic vaccinia virus expressing the 4-1BBL T-cell costimulatory molecule (rV-4-1BBL) and showed modest tumor regression in the poorly immunogenic B16 murine melanoma model. To improve the therapeutic potential of this vector, we tested the antitumor activity of local intratumoral injection in the setting of host lymphodepletion, which has been shown to augment vaccination and adoptive T-cell therapy. In this model, rV-4-1BBL injection in the setting of lymphodepletion promoted MHC class I expression, reduced antiviral antibody titers, promoted viral persistence, and rescued effectormemory CD8 T cells, significantly improving the therapeutic effectiveness of the oncolytic vector. These data suggest that vaccination with rV-4-1BBL in the setting of host nonmyeloablative lymphodepletion represents a logical strategy for improving oncolytic vaccination in melanoma, and perhaps other cancers as well. [Cancer Res 2009;69(21):8516–25]
Image splicing detection method based on particle swarm optimization (PSO) algorithm

Splicing is copy-move operation on different image, and it is one of the most commonly used operations of image tampering. Aiming at the poor performance on detection, a kind of image splicing detection method based on particle swarm algorithm is proposed. First, we extracted two different image features: Markov and gray level co-occurrence matrix (GLCM) in the image database, which are used to verify the effectiveness of the particle swarm algorithm on different features. Then, we normalized the extracted image features to reduce the impact of identification results which comes from the singular value. Finally, the optimal SVM classification model was obtained by using the particle swarm optimization algorithm. Experiment on the two different features of the image database of Columbia University shows that the image splicing detection method based on particle swarm can improve the detection rate on different features, and achieve the best recognition rate of 93.20% on Markov features.
IMPACT OF EFFECTIVE ORGANIZATIONAL CHARACTERISTICS ON ADOPTION OF CUSTOMER RELATIONSHIP MANAGEMENT IN MELLI BANK BRANCHES IN KHUZESTAN PROVINCE-IRAN

The objective of this study is to identify effective organizational characteristics on adoption of customer relationship management in Melli bank branches in Khuzestan province-Iran. The research model was designed in accordance with TAM model to adopt new technologies. Studies conducted have noted to effective organizational characteristics on the adoption of customer relationship management system. In this study effective organizational features on adaption of customer relationship management system were measured based on research of Ko & Hung, variable of organization size, Agnes research, variable of innovation, Fakhrdaei and Peltier, variable of CRM knowledge, research of Agnes, Fakhrdaei and Peltier , variable of attitude toward to change, Agnes , Wu & Richard, variable of market orientation and based on research of Avlonitis, variable of expectations. In this research each variable is described using descriptive statistics indices, then it measure using causal model. The analysis results showed that in general knowledge of CRM and expectations through perceived ease of use affect adoption of effective customer relationship management system. Attitude toward to change through perceived usefulness affects adoption of effective customer relationship management system. Market orientation through perceived usefulness and perceived ease of use affect adoption of effective customer relationship management system. Perceived usefulness and perceived ease of use directly affect the adoption of customer relationship management system. The perceived ease of use has a positive effect on perceived usefulness.
Use of Markov Chain Monte Carlo in Estimating the Economy Model

This project follows the heterogeneous agent market segmented model of Landon-Lane and Occhino (2007) with using Korean data, M1 and GDP deflator from 1882:I to 2007:II. This paper estimates parameters with Monte Carlo Markov Chain. The fraction of traders, , in Korea is 15.64%. The quarterly preferences discount factor's, , posterior mean is 0.9922. The posterior mean of the inverse of the elasticity of the labor supply to the real wage, , is 0.0316. The elasticity of the labor supply to the real wage has a very large value. By Hansen (1985) and Christiano and Eichenbaum (1992) and Cooley and Hansen (1989), models having large elasticity of the aggregate labor supply better match macroeconomic data.
Supplementary Material for “Direct ecosystem fluxes of volatile organic compounds from oil palms in South-East Asia”

volatile organic compounds from oil palms in South-East Asia” 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 P. K. Misztal1,2*, E. Nemitz1, B. Langford1, C. Di Marco1, G. J. Phillips1#, C. N. Hewitt3, R. MacKenzie3, S. M. Owen1, D. Fowler1, M. R. Heal2 and J. N. Cape1 [1]{Centre for Ecology & Hydrology, Penicuik, EH26 0QB, UK} [2]{School of Chemistry, University of Edinburgh, EH9 3JJ, UK} [3]{Lancaster Environment Centre, Lancaster University, LA1 4YQ, UK} * Currently at Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, US # Now at NCAS, School of Earth and Environment, University of Leeds, UK. Correspondence to: P.K. Misztal (pkm@berkeley.edu)
The circle method and diagonal cubic forms

We use the Hardy–Littlewood circle method, in the form developed by Heath–Brown in 1996, to investigate the number of integer zeros of diagonal cubic forms. The results are subject to unproved hypotheses concerning certain Hasse–Weil L–functions. For six variables we show that there are O(P3+ϵ) zeros up to height P, for any ϵ>0. For four variables we show that there are O(P3/2+ϵ) such zeros, excluding any that lie on rational lines in the corresponding surface.
The two-part gender revolution, women?s second shift and changing cohort fertility

The two parts of the gender revolution have been evolving side by side at least since the 1960s. The first part, women’s entry into the public sphere, proceeded faster than the second part, men’s entry into the private sphere. Consequently, many employed mothers have carried a greater burden of paid and unpaid family support than fathers throughout the second half of the 20th century. This constituted women’s “second shift,” depressing fertility. A central focus of this paper is to establish second shift trends during the second half of the 20th century and their effects on fertility. Our analyses are based on data on cohort fertility, male and female labor force participation, and male and female domestic hours worked from 11 countries in Northern Europe, Western/central Europe, Southern Europe, and North America between 1960/70 and 2000/2014. We find that the gender revolution had not generated a turnaround, i.e. an increase in cohort fertility, by the end of the 20th century. Nevertheless, wherever the gender revolution has made progress in reducing women’s second shift, cohort fertility declined the least; where the second shift is large and/or has not been reduced, cohort fertility has declined the most.
Folded Optical Delay Lines

A long optical path has been folded between two 7.5-cm diam spherical or aspherical mirrors to provide an output beam which can be well separated from previous reflections with 1000 or more passes between the mirrors. The 3000-m path provides 10 μsec of delay. This system can be used as a dispersionless optical delay line for use in filtering or storage of information modulated onto the light beam. The pattern of beams between the two mirrors is obtained in one of two ways. A small perturbing mirror may be inserted to give a series of offset ellipses, or one or both of the mirrors can be made astigmatic to give a Lissajous pattern of spots on each mirror. The output beam can be separated from others by discriminating in both angle and position. The diffraction losses of the system are much lower than those for an open beam because of the periodic focusing of the spherical mirrors. The extreme dependence of the loss of the delay line upon the absorption and scattering loss of the mirrors makes the system dependent upon very low loss mirrors and also makes the system a suitable method for measuring mirror loss. Block diagrams are shown for some possible filtering and storage applications.
The Activity Theory Approach to Learning

In this paper the author offers a practical view of the theory-grounded research on education action. She draws on studies carried out at the Center for Research on Activity, Development and Learning (CRADLE) at the University of Helsinki in Finland. In its work, the Center draws on cultural-historical activity theory (CHAT) and is well-known for the theory of Expansive Learning and its more practical application called Developmental Work Research (DWR). These approaches are widely used to understand professional learning and have served as a theoreticaland methodological foundation for studies examining change and professional development in various human activities.
The Impact of Environmental Accounting and Reporting on Organizational Performance of Selected Oil and Gas Companies in Niger Delta Region of Nigeria

This study examines the impact of environmental accounting and reporting an organizational performance with particular reference to oil and gas companies operating in the Niger Delta Region of Nigeria. The study was conducted using the Pearson’s product moment correlation co-efficient. The elements were selected by means of random and stratified sampling technique. Data were gathered from primary and secondary sources. Data collected were presented using tables and analyzed using the Pearson’s product moment correlational analysis. It was found from the study that environmental cost has satisfied relationship with firm’s profitability. It was concluded that environmentally friendly firms will significantly disclose environmental related information in financial statements and reports. The study recommended that firms should adopt a uniform method of reporting and disclosed environmental issues for the purpose of control and measurement of performance and that accounting standards should be published locally and internationally and reviewed continually to ensure dynamism and compliance to meet environmental and situational needs. Keywords: Environmental Account, Environmental Cost, Environmental Impact, Environment Report, Financial Information
Aalborg Universitet Optimal interleaving angle determination in multi paralleled converters considering the DC current ripple and grid Current

A typical application for parallel connected converters is in multi megawatt wind turbine systems. Manipulating the interleaving angle between the Pulse Width Modulated (PWM) carrier waves of each converter can result in reduced grid and DC link current ripple, thus the passive components from the DC link and grid filter can be minimized. In previous studies the optimization of the interleaving angle for either the grid current Total Harmonic Distortion (THD) or the DC link current ripple has been made. In this study a compromise is made in order to maintain a THD of the grid current in a level that complies with the standards, while in the DC link the current ripple is reduced. The dependency of the grid current THD and the DC link current ripple on the interleaving angle were determined by simulations. The results were also validated on a hardware setup. Keywords—parallel converters, optimal interleaving angle, renewable energy
Deep Learning for Electromyographic Hand Gesture Signal Classification by Leveraging Transfer Learning

In recent years, the use of deep learning algorithms has become increasingly more prominent. Within the field of electromyography-based gesture recognition however, deep learning algorithms are seldom employed. This is due in part to the large quantity of data required for the network to train on. The data sparsity arises from the fact that it would take an unreasonable amount of time for a single person to generate tens of thousands of examples for training such algorithms. In this paper, two datasets are recorded with the Myo Armband (Thalmic Labs), a low-cost, low-sampling rate (200Hz), 8-channel, consumer-grade, dry electrode sEMG armband. These datasets, referred to as the pre-training and evaluation dataset, are comprised of 19 and 17 able-bodied participants respectively. A convolutional network (ConvNet) is augmented with transfer learning techniques to leverage inter-user data from the first dataset, alleviating the burden imposed on a single individual to generate a vast quantity of training data for sEMG-based gesture recognition. This transfer learning scheme is shown to outperform the current state-of-the-art in gesture recognition achieving an average accuracy of 98.31% for 7 hand/wrist gestures over 17 able-bodied participants. Finally, a use-case study of eight able-bodied participants is presented to evaluate the impact of feedback on the degradation accuracy normally experienced from a classifier over time.
So lver on a C r a y T 3 E-9 0 0

Recently we outlined a method [1] to design very efficient parallel code based on the Amdahl's[2]. We showed that the most impor tant factors affecting the scalability are: the sequential portion of the code, the imbalance, and the communication overhead. The effects of the sequential portion of code and of the imbalance factor can be diminished by small rearrangements of the program units, while the exceptional performance of the MPI collective communication library on the Cray T3E architecture assures scalable data communication in the master-slave model. Fig. 1 presents the scalable throughput in the Cray T3E network when the master broadcast and gather data. We use the results of this analysis to parallelize a Lanczos eigenvalue solver subroutine for real symmetric matrices [3]. We are interested in applications were the matr ix is essentially non sparse and few lowest (highest) eigenvalues are needed. This approach is of large interest for many body quantum system, such as nuclear shell model calculations [4]. These calculations require the first 8-10 eigenvalues for matrices of order 10000 100000. The sparsity is usually 0.5.