Miracle-dz/UniFAR-FTUs huggingface dataset:
Biased project status reports: A survey of IS professionals

The term Cloud Computing represents a paradigm for offering different kind of Web services, which can be dynamically developed, composed and deployed on virtualized infrastructure. This work will extend the concepts known from the revenue management to the specific case of Cloud Computing and propose two models, bid price control and a variant of dynamic pricing, that will compete with the commonly used static pricing. Both models will try to maximize revenues by controlling the availability or price of every offered fare class. The aim is to understand from a Cloud Computing company’s perspective, how decisions about the pricing and the optimal allocation of the given resources for the various Cloud Services can be supported. As expected, simulation results show that an optimally adjusted dynamic pricing model will outperform any pricing model with static prices and will simultaneously contribute to slightly smoother resource utilization in some cases. However, we will see that the adjustment itself is difficult to realize, and if conducted suboptimal, it may also have certain disadvantages compared to static prices. In combination with a reasonable product differentiation, the bid-price method performed very solid and in nearly any case better than the pure static pricing model.
Active structural acoustic control of transmitted sound through a double panel partition by weighted sum of spatial gradients

Active control of harmonic sound transmission through an acoustically baffled, rectangular, simply supported double panel partition has been analytically studied. Velocity potential method is used for the vibro-acoustic modeling unlike the commonly used cavity mode method. It is very well-known that at high frequencies uncontrolled double panel partition mostly radiates sound due to the dipole-type motion of the radiating panel, which the volume velocity method can't be able to detect, therefore, weighted sum of spatial gradients is used to control these modes and achieves sound attenuation in a broad frequency band. A piezoceramic actuator (lead zirconate titanate) is attached on one side of the panel surface, and the optimal magnitude and phase of the voltage supplied to the lead zirconate titanate for minimizing the weighted sum of spatial gradients and volume velocity at the error sensor locations are calculated using a simple-gradient based algorithm. Numerical results of sound power transmission ratio and averaged quadratic velocity of panels indicate that lead zirconate titanate should be placed on the incident panel and minimization of the control quantities should be done on the radiating panel to achieve better sound attenuation. The acoustic radiation mode analysis shows that the weighted sum of spatial gradients is able to control multiple acoustic radiation modes and, thereby, accomplishes better reduction of sound power transmission compared to volume velocity.
C C ] 12 F eb 2 01 5 Evaluating Matrix Circuits

The circuit evaluation problem (also known as the compresse d word problem) for finitely generated linear groups is studied. Th e best upper bound for this problem iscoRP, which is shown by a reduction to polynomial identity testing. Conversely, the compressed word problem for the li near groupSL3(Z) is equivalent to polynomial identity testing. In the paper, it is shown that the compressed word problem for every finitely generated nilpotent group is inDET ⊆ NC . Within the larger class of polycyclic groups we find example s where the compressed word problem is at least as hard as polynomial ide ntity testing for skew arithmetic circuits.
Esculentin-2 CHa ( 1-30 ) and its analogues – stability and mechanisms of insulinotropic 1 action 2 3

Publisher rights © 2017 Society for Endocrinology. Disclaimer: this is not the definitive version of record of this article.This manuscript has been accepted for publication in Journal of Endocrinology, but the version presented here has not yet been copy-edited, formatted or proofed. Consequently, Bioscientifica accepts no responsibility for any errors or omissions it may contain. The definitive version is now freely available at doi.org/10.1530/JOE-16-0453 2017
Generalized just-in-time trace compilation using a parallel task farm in a dynamic binary translator

Dynamic Binary Translation (DBT) is the key technology behind cross-platform virtualization and allows software compiled for one Instruction Set Architecture (ISA) to be executed on a processor supporting a different ISA. Under the hood, DBT is typically implemented using Just-In-Time (JIT) compilation of frequently executed program regions, also called traces. The main challenge is translating frequently executed program regions as fast as possible into highly efficient native code. As time for JIT compilation adds to the overall execution time, the JIT compiler is often decoupled and operates in a separate thread independent from the main simulation loop to reduce the overhead of JIT compilation. In this paper we present two innovative contributions. The first contribution is a generalized trace compilation approach that considers all frequently executed paths in a program for JIT compilation, as opposed to previous approaches where trace compilation is restricted to paths through loops. The second contribution reduces JIT compilation cost by compiling several hot traces in a concurrent task farm. Altogether we combine generalized light-weight tracing, large translation units, parallel JIT compilation and dynamic work scheduling to ensure timely and efficient processing of hot traces. We have evaluated our industry-strength, LLVM-based parallel DBT implementing the ARCompact ISA against three benchmark suites (EEMBC, BIOPERF and SPEC CPU2006) and demonstrate speedups of up to 2.08 on a standard quad-core Intel Xeon machine. Across shortand long-running benchmarks our scheme is robust and never results in a slowdown. In fact, using four processors total execution time can be reduced by on average 11.5% over state-of-the-art decoupled, parallel (or asynchronous) JIT compilation.
OBSERVATION Creutzfeldt-Jakob Disease , Prion Protein Gene Codon 129 VV , and a Novel PrPSc Type in a Young British Woman

Background: Variant Creutzfeldt-Jakob disease (vCJD) is an acquired prion disease causally related to bovine spongiform encephalopathy that has occurred predominantly in young adults. All clinical cases studied have been methionine homozygotes at codon 129 of the prion protein gene (PRNP) with distinctive neuropathological findings and molecular strain type (PrP type 4). Modeling studies in transgenic mice suggest that other PRNP genotypes will also be susceptible to infection with bovine spongiform encephalopathy prions but may develop distinctive phenotypes.
Statistics of Seismic Tremors with Harmonic Overtones Recorded at Syowa Station, Antarctica: October 2014-March 2015

During the period from October 2014 to March 2015, a total number of 82 seismic tremors and 66 ice-quakes were identified in both three-component short-period seismographs (HES) and broadband seismographs (STS-1) at Syowa Station (SYO), Antarctica. Statistics of the number of these tremors indicated that many tremors were likely to occur when large increases in temperature and/or wind speed during the period. This implied that the rapid increase in temperature enhanced a melting speed of cryosphere environment with generating seismic energy; the tremors were also excited by stormy conditions, associated with interactive resonance between sea-ices and oceanic swells. The characteristic tremors of harmonic overtones with strong amplitudes were explained by repetitive sources, suggesting inter-glacial asperities such as the collision of icebergs and fast sea-ice, calving of glaciers/ice-streams at the coastal environment of Antarctica. These high amplitude tremors occurred independently from other majority types of events, characterized by non-linear, small amplitude and weak signals at the stormy condition and rapid increase in temperature.
RAISING FOOD SAFETY TO STREET FOOD VENDORS IN URBAN AREA

1Centre of Environmental Health and Safety, Faculty of Health Sciences, UiTM Selangor, Kampus Puncak Alam, Selangor 2Malaysian Association of Environmental Health 3Occupational Safety and Health Management Office, Universiti Putra Malaysia, Serdang 4Department of Environmental Health, Faculty of Health and Sport Sciences, MAHSA University 5Association of Environmental Health Officers Malaysia 6Food Safety and Quality Control Unit, Langkawi Health District Office, Kedah 7Koperasi Peniaga Pasar Malam Langkawi Berhad, Langkawi, Kedah © 2020 MAEH Research Centre. All rights reserved
European Regional Integration and Foreign Direct Investment Flows to Joining Countries

This paper studies the determinants of foreign direct investment in the countries that joined the EU from 1985 to today, and the impact of EU membership on their Bilateral FDI inflows from all OECD countries. The empirical method used is the gravity model, extended with additional explanatory variables, and the econometric models used are pooled OLS, a panel FE model and the FE Poisson model. We find that GDP’s of host and source countries, the distance between them, common language and common border all play important roles in determining bilateral FDI flows in our sample. We also find some support for labor costs of host and source countries, their openness to trade and inflation level in host country, although these results are mixed and depend on the econometric models used. Last but not least it is found that EU-membership has had a strong effect on intra-EU FDI flows, and has also affected the general level of FDI inflows from all OECD countries.
Per Channel Automatic Annotation of Sign Language Motion Capture Data

Manual annotation is an expensive and time consuming task partly due to the high number of linguistic channels that usually compose sign language data. In this paper, we propose to automatize the annotation of sign language motion capture data by processing each channel separately. Motion features (such as distances between joints or facial descriptors) that take advantage of the 3D nature of motion capture data and the specificity of the channel are computed in order to (i) segment and (ii) label the sign language data. Two methods of automatic annotation of French Sign Language utterances using similar processes are developed. The first one describes the automatic annotation of thirty-two hand configurations while the second method describes the annotation of facial expressions using a closed vocabulary of seven expressions. Results for the two methods are then presented and discussed.
Electro-optical DAC using counter-propagating pulses

High-level modulation formats, such as 16-QAM, offer higher spectral efficiencies [1], but usually require electrical Digital to Analog Converters (DACs), which consume significant power, partially because of the impedance-matched terminations on their parallel timemultiplexed high-speed electrical inputs. DACs are also required for electronic precompensation and forms of optical OFDM that use multiple electrically generated subcarriers [2]. In this paper, a new method of converting variablewidth electrical pulses into ultrashort multi-level optical pulses is presented. This uses a conventional LiNbO3 optical modulator, but with its optical and electrical signals counter-propagating. These multi-level pulses could then be converted to almost any modulation format, using optical filtering, as we have previously demonstrated to produce a universal transmitter [3], shown in Fig.1. The advantage is that variable width electrical pulses are easier to communicate between the digital signal processor and modulator than parallel binary inputs to a DAC, as only one signal path is required.
The Impact of Sharing Economy on Local Employment: Evidence from Airbnb

A growing literature has documented the impact of home sharing. We study a new externality in which local people can enjoy more job opportunities because of the entry of home sharing. Using data from Airbnb and employing a quasi-experimental design, we find the following evidences. We find that home sharing provides more employment options to locals especially for lesseducation and low-income population. As home sharing becomes an incentive for local employment, our study provides important understanding of home sharing and its implications to local welfare, Airbnb hosts, and policy makers.
Self-Organized Criticality and Earthquakes

We suggest that the concept of self-organized criticality (SOC) is relevant for understanding the processes underlying earthquakes. Earthquakes are an important part of the relaxation mechanism of the crust which is submitted to inhomogeneous increasing stresses accumulating at continental-plate borders. The SOC concept then implies that earthquakes in turn organize the crust both at the spatial and temporal levels. This idea allows to rationalize observations on occurrences and magnitudes of earthquakes. Variants of SOC as well as a novel type of dynamics based on waiting times are discussed within a mean-field-like approach which shows the existence of 1/f noise in the time gap between large earthquakes. The corresponding long-time correlations have important implications for the statistical long-time forecasting of earthquakes.
IAT on the Network Altruistic Behavior Tendency of College Students

Objective: To investigate college students’ implicit attitude of network altruistic behavior tendency. Methods: Choose 50 students from a university in Zhengzhou City who take psychology as an optional course to be the tested and conduct the IAT test on their implicit attitudes towards network altruistic behavior tendency. And D value, reaction time mean and Logarithm of three ways of numerical implicit effect check IAT experiment within the significant. Results: A significant IAT effect was found in implicit attitudes towards network altruistic behavior tendency; a significant difference appears in the students who major in art or science; no difference was found in gender. Conclusion: IAT is an effective tool can be used to measure if college students have the implicit attitudes towards network altruistic behavior tendency.
Energy Efficient Operation of Variable Speed Submersible Pumps: Simulation of a Ground Water Well Field

Due to their lower energy consumption, permanent magnet synchronous motor (PMSM) submersible pumps have been introduced in ground water well field operation. Besides direct savings of energy, the introduction of PMSM pumps together with the required variable frequency converters offers new operational scenarios to meet the seasonally varying water demand. In this work, potential energy savings of variable speed submersible pumps were investigated. A ground water well field consisting of 13 wells and their transport pipes was modeled in the hydraulic modeling software EPANET 2.0. Using MS visual basic for applications, EPANET was coupled with MS Excel and a genetic algorithm to identify the most energy efficient combination of pump speeds. For the simulated well field, the total specific energy demand required for pumping was significantly lower in partial load operation as compared to nominal pump speed operation. For low and moderate flow scenarios, energy savings in the range of 20% compared to nominal speed operation can be achieved. These findings were confirmed by a monitoring campaign in the well field. Combining hydraulic simulation and optimization using genetic algorithms, the best efficiency scenario for operation of ground water well fields can be found.
Strong Laws of Large Numbers and Nonparametric Estimation

Elementary approaches to classic strong laws of large numbe rs us a monotonicity argument or a Tauberian argument of summability theory. Together with re sults on variance of sums of dependent random variables they allow to establish various strong laws of lar ge numbers in case of dependence, especially under mixing conditions. Strong consistency of nonparamet ric regression estimates of local averaging type (kernel and nearest neighbor estimates), pointwise as well as inL2, can be considered as a generalization of strong laws of large numbers. Both approaches can be used t o establish strong universal consistency in the case of independence and, mostly by sharpened integrabi lity ssumptions, consistency under ρ-mixing or α-mixing. In a similar way Rosenblatt-Parzen kernel density estimates are treated.
Assessing the adaptive capacity of Sweden ’ s environmental objectives

Different challenges arising from increasingly uncertain and unpredictable environmental and economic conditions have been shifting the focus of public governance and socio-economic development. More recently, empirical studies have demonstrated a transitional epoch in which humanity is currently in: The Anthropocene, as well as its harmful effects that degrade the biosphere, and thus our economic, political, social well-being. The casual dynamics of climate change and its impacts on life-supporting ecosystems has increasingly been recognized by a resilient approach which incorporates adaptive processes and schemes, allowing public governance to embrace the changes rather than control uncertainty. This research introduces the interwoven concepts of adaptive capacity, adaptive governance, and resilience within a social and environmental framework. It provides a review of how these concepts support a paradigm shift to mitigating current and future challenges—understood through a multidisciplinary approach, and how scholars have sought to develop a blueprint to improve the need to foster and mobilize adaptive capacity within the governance of the commons. In Sweden, key governmental and business leaders have shown the ability to foster environmental governance that is capable of developing an alternative form of planning, implementing, and managing public policy. Moreover, Sweden’s concerted multilevel governance and public policy efforts have promoted an all-encompassing generational, mainly through: coordinated environmental policies and private, public, and civil society partnerships. These initiatives have led to innovative technologies and projects (e.g. urban vertical farming technology) as well as cross collaboration and integration of companies and industries in order to achieve economic, social, and environmentally symbiosis.
The Sound Symbolic Patterns in Pokémon Move Names in Japanese

In recent years, we have witnessed a dramatically growing interest in sound symbolism, systematic associations between sounds and meanings. A recent case study of sound symbolism shows that in Pokémon games, longer names are generally associated with stronger Pokémon characters, and moreover those Pokémon characters with names having more voiced obstruents are generally stronger (Kawahara et al., 2018b). The current study examined the productivity of these sound symbolic effects in the names of the moves that Pokémon creatures use when they battle. The analysis of the existing move names shows that the effect of name length on attack values is robust, and that the effect of voiced obstruents is tangible. These sound symbolic patterns hold, despite the fact that most (= 99%) move names are based on real words in Japanese. An additional experiment with nonce names shows that both of these effects are very robust. Overall, the current paper adds to the growing body of studies showing that the relationships between sounds and meanings are not as arbitrary as modern linguistic theories have standardly assumed. Uniquely, the current analysis of the existing move names shows that such non-arbitrary relationships can hold even when the set of words under consideration are mostly existing words (Shih & Rudin, 2019; Sidhu et al.,
Numerical Experiments of a Convective Cloud with a High Cloud Base in Shear Flows

A numerical model including dynamical and cloud physical processes is formulated to simulate the observational evidences, concerning the severe storms frequently observed in the North American Continent. Our concerns are restricted to five points; (1) generation of a cold dome and a convergence line at the surface, (2) upshear tilting of an updraft, (3) a long-lasting nature, (4) a right-moving convective cloud and (5) generation of vertical vdrticity. To examine roles of vertical wind profiles on the above-mentioned features, we make numerical calculation for four cases with different wind profiles. It is shown that the point (1) can be explained by cooling due to evaporation of raindrops falling in the subcloud layer. In the case for which the direction of the basic wind shear turns with height, a long-lasting nature of the convective cloud, upshear tilting of an updraft and the small deviation of the rain region movement from the environmental wind direction are obtained. The jet type wind plays an important role in (3), because it transports raindrops not to cut off the supply of fresh air from the subcloud layer into the updraft region. Vertical vorticity is created mainly by the tilting term at the developing stage and then the vertical advection and the divergence term as well as the tilting term are principal terms. A pair of strong anticyclonic and weak cyclonic vortices are found in the rain region.
Socio-Technical Work-Rate Increase Associates With Changes in Work Patterns in Online Projects

Software developers work on a variety of tasks ranging from the technical, e.g., writing code, to the social, e.g., participating in issue resolution discussions. The amount of work developers perform per week (their work-rate) also varies and depends on project needs and developer schedules. Prior work has shown that while moderate levels of increased technical work and multitasking lead to higher productivity, beyond a certain threshold, they can lead to lowered performance. Here, we study how increases in the short-term work-rate along both the technical and social dimensions are associated with changes in developers' work patterns, in particular communication sentiment, technical productivity, and social productivity. We surveyed active and prolific developers on GitHub to understand the causes and impacts of increased work-rates. Guided by the responses, we developed regression models to study how communication and committing patterns change with increased work-rates and fit those models to large-scale data gathered from traces left by thousands of GitHub developers. From our survey and models, we find that most developers do experience work-rate-increase-related changes in behavior. Most notably, our models show that there is a sizable effect when developers comment much more than their average: the negative sentiment in their comments increases, suggesting an increased level of stress. Our models also show that committing patterns do not change with increased commenting, and vice versa, suggesting that technical and social activities tend not to be multitasked.
Malformations artérioveineuses paraspinales à drainage veineux épidural Paraspinal arteriovenous malformations with perimedullary venous drainage

MOTS CLÉS Fistules artérioveineuses paraspinales ; Onyx ; IRM ; Angiographie médullaire ; Malformations artérioveineuses Résumé Dans le cas des malformations artérioveineuses paraspinales, les symptômes de myélopathie sont le plus souvent en rapport avec un drainage veineux périmédullaire. Nous rapportons trois cas de malformations artérioveineuses paraspinales à drainage veineux épidural strict. Ces lésions de siège thoracolombaire se manifestent par des douleurs rachidiennes isolées pour deux d’entre elles et par une lomboradiculite S1 pour la troisième. Le diagnostic de malformation artérioveineuse a été évoqué en IRM devant la triade : érosion vertébrale, vide de signal en pondération T1 et T2 et renforcement partiel après injection de gadolinium, sans signe de congestion médullaire. L’IRM fait suspecter ce diagnostic rare. L’artériographie permet la confirmation du siège paraspinal de la fistule et le traitement dans le même temps par injection d’onyx. © 2008 Elsevier Masson SAS. Tous droits réservés.