nils-herrmann/clean_scirepeval huggingface dataset:
Teleworkability and the COVID 19 crisis: a new digital divide?
Year: 2020

The paper discusses the extent of teleworking in the EU before and during the COVID 19 outbreak, develops a conceptual analysis to identify the jobs that can be done from home and those that cannot, and on this basis quantifies the fraction of employees that are in teleworkable occupations across EU countries, sectors and socio economic profiles. Using the occupational task descriptions provided in the Italian Indagine Campionaria delle Professioni, with additional indicators from the European Working Conditions survey, we estimate that 37% of dependent employment in the EU is currently teleworkable aEUR" very close to the estimates of teleworking indicated in real time surveys during the COVID 19 crisis. Because of differences in the employment structure, the fraction of telewokable employment ranges between 33 44% in all but five EU member states. Even starker differences in teleworkability emerge between high and low paid workers, between white and blue collar workers, as well as by gender. Results suggests that that the large expansion of telework since the COVID 19 outbreak has been strongly skewed towards high paid white collar employment. Yet, enforced closures have likely resulted in many new teleworkers amongst low and mid level clerical and administrative workers who previously had limited access to this working arrangement. This is consistent with the evidence showing that, beyond differences in the industrial and occupational structures, the pre outbreak large differences in telework prevalence across EU countries were largely driven by other factors, notably the organisation of work, regulation, and management culture. This paper also discusses some policy implications that the current experience of telework may have for the future of work.
CONSTRUCOES VERBAIS COM PRONOME CLITICO NA ESCRITA EM PORTUGUES DE ESTUDANTES DE ORIGEM BOLIVIANA. ASPECTOS SINTATICOS E DISCURSIVOS.
Year: 2020

O artigo apresenta alguns dos resultados de uma pesquisa desenvolvida sobre a producao escrita, em portugues, de alunos bolivianos ou filhos de bolivianos da rede municipal de ensino de Sao Paulo, todos eles com mais de cinco anos de escolaridade no Brasil, comparada com a de alunos brasileiros sem qualquer contato familiar com a lingua espanhola. A hipotese, elaborada a partir de aproximacoes e observacoes previas, situou as construcoes verbais com clitico atono sem funcao de objeto como aquelas que apresentariam diferencas mais substanciais. Elaborou se uma proposta de producao textual direcionada a focalizar essas construcoes. Os resultados mostram, entre o grupo de bolivianos e filhos de bolivianos e o de brasileiros sem contato com o espanhol, diferencas que se concentram principalmente nas construcoes de valor ergativo em que os participantes nos processos denotados pelo verbo sao humanos. Com base nesses resultados, e considerando um acervo de estudos comparativos entre o portugues brasileiro e o espanhol, o artigo apresenta interpretacoes e conclusoes em dois planos. Por um lado, sobre a representacao sintatica das construcoes analisadas, e, por outro, sobre o funcionamento discursivo em que elas se inserem. Dessa maneira, o trabalho se propoe a contribuir para o conhecimento sobre a aquisicao de portugues por imigrantes bolivianos e por hispanofalantes em geral, e tambem para os estudos que comparam o funcionamento do portugues e do espanhol em diferentes niveis de observacao, incluindo o discursivo. Palavras chave: Imigracao boliviana no Brasil; aquisicao do portugues brasileiro; comparacao entre portugues e espanhol; construcoes ergativas; cliticos; representacao da pessoa no discurso.
Advanced numerical technique for analysis of surface and bulk acoustic waves in resonators using periodic metal gratings
Year: 2014

A numerical technique characterized by a unified approach for the analysis of different types of acoustic waves utilized in resonators in which a periodic metal grating is used for excitation and reflection of such waves is described. The combination of the Finite Element Method analysis of the electrode domain with the Spectral Domain Analysis (SDA) applied to the adjacent upper and lower semi infinite regions, which may be multilayered and include air as a special case of a dielectric material, enables rigorous simulation of the admittance in resonators using surface acoustic waves, Love waves, plate modes including Lamb waves, Stonely waves, and other waves propagating along the interface between two media, and waves with transient structure between the mentioned types. The matrix formalism with improved convergence incorporated into SDA provides fast and robust simulation for multilayered structures with arbitrary thickness of each layer. The described technique is illustrated by a few examples of its application to various combinations of LiNbO3, isotropic silicon dioxide and silicon with a periodic array of Cu electrodes. The wave characteristics extracted from the admittance functions change continuously with the variation of the film and plate thicknesses over wide ranges, even when the wave nature changes. The transformation of the wave nature with the variation of the layer thicknesses is illustrated by diagrams and contour plots of the displacements calculated at resonant frequencies.
Influence of elasticity on gap formation in a lining technique with flowable composite.
Venue: Dental materials journal
Year: 2006

The purpose of this study was to investigate the effect of flowable composites as liners for direct composite restorations, with key focus on the elastic moduli of flowable and condensable composites. After treating the composite mold cavity surface with an adhesive system, one of the flowable composites was placed as a 1 mm thick layer on the cavity floor and irradiated for 20 seconds. The rest of cavity was subsequently filled with a condensable composite and irradiated for 40 seconds. Gap formation at both interfaces between the cavity floor and flowable composite, and between the flowable and condensable composites was examined. No gaps were detected at the interface between the cavity floor and flowable composite. Gap percentage at the interface between the flowable and condensable composites was dependent on the difference in elastic modulus. It was concluded that flowable composite with high elastic modulus could inhibit gap formation between flowable and condensable composites.
MATCH: An atom typing toolset for molecular mechanics force fields
Venue: J. Comput. Chem.
Year: 2012

We introduce a toolset of program libraries collectively titled multipurpose atom typer for CHARMM (MATCH) for the automated assignment of atom types and force field parameters for molecular mechanics simulation of organic molecules. The toolset includes utilities for the conversion of multiple chemical structure file formats into a molecular graph. A general chemical pattern matching engine using this graph has been implemented whereby assignment of molecular mechanics atom types, charges, and force field parameters are achieved by comparison against a customizable list of chemical fragments. While initially designed to complement the CHARMM simulation package and force fields by generating the necessary input topology and atom type data files, MATCH can be expanded to any force field and program, and has core functionality that makes it extendable to other applications such as fragment based property prediction. In this work, we demonstrate the accurate construction of atomic parameters of molecules within each force field included in CHARMM36 through exhaustive cross validation studies illustrating that bond charge increment rules derived from one force field can be transferred to another. In addition, using leave one out substitution it is shown that it is also possible to substitute missing intra and intermolecular parameters with ones included in a force field to complete the parameterization of novel molecules. Finally, to demonstrate the robustness of MATCH and the coverage of chemical space offered by the recent CHARMM general force field (Vanommeslaeghe, et al.  one million molecules from the PubChem database of small molecules are typed, parameterized, and minimized.
Aesthetics, Personalization and Recommendation: A survey on Deep Learning in Fashion
Venue: ArXiv
Year: 2021

Machine learning is completely changing the trends in the fashion industry. From big to small every brand is using machine learning techniques in order to improve their revenue, increase customers and stay ahead of the trend. People are into fashion and they want to know what looks best and how they can improve their style and elevate their personality. And since systems are already monitoring every sale and coming trends why not utilize their power in getting a recommendation regarding outfit. Using Deep learning technology and infusing it with Computer Vision techniques one can do so by utilizing Brain inspired Deep Networks, and engaging into Neuroaesthetics, working with GAN's and Training them, playing around with Unstructured Data,and infusing the transformer architecture are just some highlights which can be touched with the Fashion domain. It's all about designing a system that can tell us information regarding the fashion aspect that can come in handy with the ever growing demand. Personalization is a big factor that impacts the spending choices of customers.The survey also shows remarkable approaches that encroach the subject of achieving that by divulging deep into how visual data can be interpreted and leveraged into different models and approaches. Aesthetics play a vital role in clothing recommendation as users' decision depends largely on whether the clothing is in line with their aesthetics, however the conventional image features cannot portray this directly. For that the survey also highlights remarkable models like tensor factorization model, conditional random field model among others to cater the need to acknowledge aesthetics as an important factor in Apparel recommendation.These AI inspired deep models can pinpoint exactly which certain style resonates best with their customers and they can have an understanding of how the new designs will set in with the community. With AI and machine learning your businesses can stay ahead of the fashion trends and deliver exactly what your customers want and when they want it.
Technology Focus: Mature Fields and Well Revitalization (January 2020)
Year: 2020

Technology Focus Production decline with field maturing is a natural phenomenon, but the efforts to mitigate this decline and, in some cases, even to reverse the trend are truly remarkable. Achieving this feat requires not only a deeper understanding of the subsurface process involved but also a total synergy between the various disciplines engaged in maximizing production from brownfields. This message is apparent in the 90 papers reviewed this year covering various challenging aspects of the topic of mature fields and well revitalization. The papers reviewed cover a wide range of topics, including the use of novel drilling fluids to target undepleted hydrocarbon layers below the depleted, highly exploited mature hydrocarbon bearing layers and using novel logging tools to detect thin low resistivity/low contrast plays for adding new oil to mature brown fields. In the current period of industry downturn, creating and executing opportunities to develop mature brownfields has become more economically challenging. Papers describe technical, commercial, and operational aspects that help in achieving an established economic cut off for project sanction. Several papers describe the use of tools to monitor the status of development using casedhole logs and other resistivity independent saturation estimation techniques to locate bypassed oil. Studies have been conducted using classical reservoir engineering tools to supplement findings of detailed reservoir simulation studies to locate infill wells. Mature fields generally are believed to be fields having reached their economic limit after primary and secondary efforts. An increasing number of papers reviewed this year, however, also address the issue of refracturing in tight unconventional plays, adding to significant production. The surge in unconventional completions over the past decade has created ample candidates for hydraulic refracturing, and many opera tors have found refracturing to be a viable alternative to drilling new wells in such formations. Recommended additional reading at OnePetro: www.onepetro.org. SPE 193207 Near Balanced Nitrified Foam Drilling: A New Frontier for the Drilling of Depleted and Fractured Carbonates A Study on the Design, Execution, and Results From Multiple Wells by Ali Khalid, Weatherford, et al. SPE 194581 Revival of an Offshore Gas Field: Case Study of a Fractured Basement Reservoir by Arun Kumar, HOEC, et al. SPE 196602 Refracturing the Appalachian Basin: An Economic Analysis by Kade Kiselica, Marietta College, et al.
A palmitoyl conjugate of insect pentapeptide Yamamarin arrests cell proliferation and respiration
Venue: Peptides
Year: 2010

A palmitoyl conjugate of an insect pentapeptide that occurs in diapausing insects causes a reversible cell cycle arrest and suppresses mitochondrial respiration. This peptide compound also causes growth arrest in murine leukemic cell line expressing human gene Bcr/Abl and a farnesoyl peptide induces embryonic diapause in Bombyx mori. These results demonstrate that the insect peptide compounds can lead to the understanding of a common pathway in developmental arrest in animals and may provide a new peptidominetic analog in the development of biopharmaceuticals and pest management.
The role of protein hydrophobicity in conformation change and self assembly into large amyloid fibers.
Venue: Biomacromolecules
Year: 2014

It has been found that a short hydrophobic "template" peptide and a larger a helical "adder" protein cooperatively self assemble into micrometer sized amyloid fibers. Here, a common template of trypsin hydrolyzed gliadin is combined with six adder proteins (a casein, a lactalbumin, amylase, hemoglobin, insulin, and myoglobin) to determine what properties of the adder protein drive amyloid self assembly. Utilizing Fourier Transform Infrared (FT IR) spectroscopy, the Amide I absorbance reveals that the observed decrease in a helix with time is approximately equal to the increase in high strand density b sheet, which is indicative of amyloid formation. The results show that the hydrophobic moment is a good predictor of conformation change but the fraction of aliphatic amino acids within the a helices is a better predictor. Upon drying, the protein mixtures form large amyloid fibers. The fiber twist is dependent on the aliphatic index and molecular weight of the adder protein. Here we demonstrate that it is possible to predict the propensity of an adder protein to unfold into an amyloid structure and to predict the fiber morphology, both from adder protein molecular features, which can be applied to the pragmatic engineering of large amyloid fibers.
Solutions to the crisis? The Green New Deal, Degrowth, and the Solidarity Economy: Alternatives to the capitalist growth economy from an ecofeminist economics perspective
Year: 2014

This article deals with three approaches conceived as alternative approaches to the capitalist growth economy: the Green New Deal, Degrowth, and the Solidarity Economy. Ecofeminist economics has much to offer to each of these approaches, but these contributions remain, as of yet, unrealized. The Green New Deal largely represents the green economy, which holds economic success as contingent upon the ecological restructuring of industrial production. The degrowth approach more fundamentally raises questions concerning the relationship between material prosperity and individual and social well being. The principles of the solidarity economy involve the immediate implementation of the principles of self determination and cooperation. None of these approaches takes into account the claims of ecofeminist economics; and none of them clearly view gender equity as essential to economic change. The three approaches are, however, deeply gendered in the sense that they are implicitly based on assumptions concerning women's labor in the sphere of social reproduction. This article demonstrates how each approach can be improved upon by the integration of ecofeminist economic principles in order to achieve economic change that also meets claims for gender equity.
Search on a Business to Consumer Online Market An Explanation for Price Dispersion and Implications to Firm Pricing Strategy
Year: 2016

Using bookstore listing information and consumer transaction records from Tmall, the largest online Business to Consumer (B2C) retail platform in China, large and persistent dispersions in both transaction prices and posted prices are observed. No strong evidence is found to support spatial and inter temporal search based purely on price level. Multi dimensional search is proposed due to the following reasons: 1) In a B2C online market, sellers conduct various store level and product level promotions, making price search difficult; 2) previous purchases and consumer reviews define seller reputations and lead to different degrees of competition; 3) while price remains a major factor in consumers' consumption decisions, increasing weight is placed on store attributes when consumers evaluate a listing. Information asymmetry at the product and seller levels lead to an increase in consumer search cost. The search behavior has implications on a firm's pricing strategies. Contrary to the traditional finding that prices decrease as more firms enter the market, there is a non monotonic relationship between the number of firms and prices. A substantial decrease in posted prices is observed when the market moves from a monopoly to duopoly. As the market expands, however, search becomes too costly and sellers are able to charge higher prices.
Magnetic properties of double perovskite L n 2 CoIrO 6 L n Eu Tb Ho Hetero tri spin 3 d 5 d 4 f systems
Year: 2019

The field of double perovskites is now advancing to three magnetic elements on the A, B and B$ sites. A series of iridium based double perovskite compounds, $Ln_2$CoIrO$_6$ $Ln$ Eu, Tb, Ho) with three magnetic elements were synthesized as polycrystalline samples. The compounds crystalize in monoclinic structures with the space group $P2_1/n$ Magnetic properties of these hetero tri spin $3d$ $5d$ $4f$ systems were studied by magnetic susceptibility and field dependent magnetization in both DC and pulsed magnetic fields. All these compounds show ferrimagnetic transitions at temperatures $T_C$ above 100 K, which are attributable to antiferromagnetic coupling between Co${2+ and Ir${4+ spins. For Eu$_2$CoIrO$_6$ the magnetic properties are similar to those of La$_2$CoIrO$_6$ The Eu${3+ spins show Van Vleck paramagnetism that don't significantly interact with transition metal cations. By contrast, Tb$_2$CoIrO$_6$ and Ho$_2$CoIrO$_6$ reveal a second transition to antiferromagnetic order below a lower temperature $T_N$ The temperature induced ferrimagnetic to antiferromagnetic phase transition might be explained by a spin reorientation transition. Moreover, a magnetic field induced spin flop transition with a small hysteresis was observed below $T_N$ in these two compounds. The magnetic moment of all three compounds do not saturate up to 60 T at low temperatures. Moderate magnetocaloric effect was also observed in all three compounds. Our results should motivate further investigation of the spin configuration on single crystals of these iridium based double perovskites.
Plasma amyloid, tau, and neurodegeneration biomarker profiles predict Alzheimer's disease pathology and clinical progression in older adults without dementia
Venue: Alzheimer's dementia
Year: 2020

Plasma markers have been reported to be associated with brain amyloid burden, tau pathology, or neurodegeneration. We aimed to evaluate whether plasma biomarker profiles could predict Alzheimer's disease (AD) pathology and clinical progression in older adults without dementia.
Design Of Synchromesh Mechanism And Stress Analysis Of Gear For Hijet
Year: 2019

The gears are generally used to transmit power and torque. Gears are one of the most critical components in mechanical power transmission systems. The efficiency of power transmission is very high when compared to other kind of transmission. In the gear design the bending stress and surface strength of the gear tooth are considered to be one of the main contributors for failure of the gears in gear set. Thus, analysis of stresses has become popular as an area of research on gears to minimize or to reduce the failures and for optimal design of gears. In this paper bending stress at the root of the helical gear tooth can be calculated by using analytical method which is calculated by the Lewis stress formula. In this project, helical gear is designed by using solid works 2016 and the numerical solution is done by ANSYS, which is a finite element analysis package. The main objective of this research has to reduce the stresses induced in gear tooth profile by changing five different helix angles (13@ 18@ 23@ 28@ and 33@ In this paper, 23@ of helix angle is selected for helical gear used in synchromesh gearbox according to the ranges of helix angles and AISI 5160 OQT 400 is chosen for helical gear the maximum von Mises stress and strain values of AISI 5160 OQT 400 are less than other two materials. The results are then compared with both the Lewis equation and ANSYS procedure.
Rotor Dynamic Analysis Using ANSYS
Year: 2011

The computer based codes for rotor dynamics evolved from tabular method, transfer matrix method and to finite element method. Recent trends in rotor dynamics analysis indicate a shift from beam to solid and shell models, which enable the classical finite element approach to be used in the design process. The application of the finite element method is a useful and important tool when the classic theory is difficult to use or apply.The ANSYS finite element programs are used extensively in many disciplines of engineering to solve variety of problems. Over the years, ANSYS mechanical program's dynamics capabilities have evolved according to the emerging analysis needs, maturity of analysis methods and increasing computing power. The program's rotor dynamic analysis technology has developed at a rapid pace to meet the requirements of Industry. This paper is devoted to discuss the various features available in ANSYS mechanical program to study the dynamic characteristics of rotors and their supporting systems.