jimnoneill/paper-to-field-training huggingface dataset:
The evolution of studies on information technology and organizational agility: a bibliometric analysis

Abstract: Studies on information technology and organizational agility has shown significant growth since the beginning of 2014, which may be an indicator that this theme is beginning to mature in the concerned literature, and increasingly has become the subject of researchers. In view of the presented scenario, the objective of this study is to introduce a synthesis of the literature panorama of the relation between the focused two constructs in the last years. The author (s) chose to employ a bibliometric analysis to understand the evolution of studies on that relation. We concluded that in the United States there is a great concentration of research on this subject, and the most recent publications, in general, occurred in relevant management and information management system journals. The identified studies mainly concentrate on the causal relationship between information technology (IT) and organizational agility from three perspectives: (1) the direct effect of IT capabilities on agility, (2) the moderating effect of IT capabilities on the relationship between other organizational capabilities and organizational agility, and (3) the indirect effect of IT on organizational agility mediated by other organizational capabilities. In addition, it was possible to identify organizational agility connected with three aspects: sensitivity, decision and responsiveness. Another contribution of the study is the construction of a framework based on the main study samples and the most recurrent keywords. It is possible to detect the three levels of analysis in the relation between the two previously mentioned constructs, besides bringing out the definitions used for each construct. An opportunity for future studies is to evaluate the taxonomy identified for organizational agility.

Topic: Collaboration in agile enterprises
Subfield: Management of Technology and Innovation
Field: Business, Management and Accounting
Domain: Social Sciences
Numerical Studies of Transport Properties in Heterogeneous Food Systems

Abstract The current computer simulation based study aims to elucidate the complex role that the state of aggregation and morphology of the food materials plays in determining their transport behaviour. Using Brownian dynamic simulations, applied to colloidal systems, we simulate the compression of two different dense layers of nanoparticles (with reversible and irreversible bonds), at interface, at three different compression rates. We determine the desired transport coefficient for these structures using a novel technique, originally proposed by Torquato and Kim (1990). This method allows us to consider complex structures in our study, for which calculations of effective transport coefficients using conventional methods, like finite elements and finite difference, would be relatively difficult. We first validate our algorithm by comparing its results with those of exact calculations, for different regular lattices. Our results are in excellent agreement with the theory. The variation in the transport coefficient of nano-particle monolayers during the compression, are also correlated with the build up of stress and changes in the structure of the films.

Topic: Material Dynamics and Properties
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
What Attracts Chinese Customers to Repurchase Korean Cosmetics?

This study is to investigate the extent of influence of Korean wave and perceived quality of cosmetics on customer satisfaction and repurchase in- tention, and then to figure out the extent of the impact of moderating effect of lifestyle on the relationship between the customer satisfaction and repurchase intention as well. To achieve the goal of the study, survey was conducted through Internet and collected data were analyzed with SPSS 22.0 and AMOS 21.0. This empirical result suggests that Korean wave and perceived quality fac- tors except promotion factor were identified to have positive influence on cus- tomer satisfaction and repurchase intention. The moderating effect of lifestyle on the relationship between customer satisfaction and repurchase intention was confirmed as well.

Topic: Consumer Perception and Purchasing Behavior
Subfield: Marketing
Field: Business, Management and Accounting
Domain: Social Sciences
Federated Reinforcement Learning for Automatic Control in SDN-based IoT Environments

Recently, reinforcement learning has been applied to various fields and shows better performance than humans. In particular, it is attracting attention in the fields of smart factories and robotics that require automatic control without human intervention. In this paper, we try to allow multiple reinforcement learning agents to learn optimal control policy on their own IoT devices of the same type. There is no guarantee that the reinforcement learning agent that has learned the optimal control policy using one IoT device will perform optimal control of other IoT devices. Therefore, since reinforcement learning must be performed individually for each IoT device, it takes a lot of time and cost. To solve this problem, we propose a new method of federated reinforcement learning. In the proposed federated reinforcement learning, multiple agents have independent IoT devices, perform learning at the same time, and federate with each other to improve learning performance. Therefore, we apply a new gradient sharing method and transfer learning to reinforcement learning. In addition, Actor-Critic PPO, which shows good performance in reinforcement learning algorithms, is used. And, for smooth learning in the IoT environment where numerous devices exist, we propose an architecture based on Software-Defined Networking. Using multiple rotary inverted pendulum devices interconnected via a SDN, we demonstrate that the proposed federated reinforcement learning scheme can effectively facilitate the learning process for multiple IoT devices.

Topic: Software-Defined Networks and 5G
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Cu-ZSM‑5 Catalyst Impregnated with Mn–Co\nOxide for the Selected Catalytic Reduction of NO: Physicochemical\nProperty–Catalytic Activity Relationship and In Situ DRIFTS\nStudy for the Reaction Mechanism

A series\nof MnCo/Cu-ZSM-5 (MnCo/Cu-Z) catalysts with different\nMn/Co ratios for the selective catalytic reduction (SCR) of NO with\nNH&lt;sub&gt;3&lt;/sub&gt; were prepared by the combination of ion exchange and\nimpregnation. The physicochemical properties of the catalysts were\ninvestigated by N&lt;sub&gt;2&lt;/sub&gt; adsorption/desorption, X-ray diffraction\n(XRD), temperature-programmed reduction with hydrogen (H&lt;sub&gt;2&lt;/sub&gt;-TPR), X-ray photoelectron spectroscopy (XPS), and temperature-programmed\ndesorption of NO&lt;i&gt;&lt;sub&gt;x&lt;/sub&gt;&lt;/i&gt; (NO&lt;i&gt;&lt;sub&gt;x&lt;/sub&gt;&lt;/i&gt;-TPD) and NH&lt;sub&gt;3&lt;/sub&gt; (NH&lt;sub&gt;3&lt;/sub&gt;-TPD), and the diffuse\nreflectance infrared Fourier transform (DRIFT) technique was employed\nfor the detection of intermediate species and the study of the mechanism.\nThe introduction of Mn and Co boosts the catalytic activity of the\nCu-Z catalyst at a temperature below 200 °C, and the optimum\nactivity was obtained over the Mn&lt;sub&gt;1&lt;/sub&gt;Co&lt;sub&gt;2&lt;/sub&gt;/Cu-Z catalyst.\nThe enrichment of the high-valent metal ion on the catalyst surface\nand the improvement in the reducibility of metal oxide are responsible\nfor the elevation in the catalytic activity of MnCo/Cu-Z. The bridged\nand bidentate modes are the prevailing nitrate species on the Cu-Z\nand MnCo/Z catalysts, respectively, and both of them were detected\nover the MnCo/Cu-Z catalyst. Furthermore, the DRIFT spectroscopy (DRIFTS)\nresults indicate that, at 150 °C, the bridged nitrate can react\nwith the adsorbed ammonia species, but the bidentate nitrate fails\nto do. The SCR reaction over the Cu-Z catalyst follows the Eley–Rideal\nand Langmuir–Hinshelwood mechanisms simultaneously at 150 °C,\nwhereas an overwhelming dominance of the Eley–Rideal mechanism\nis identified for the MnCo/Z catalyst. As to the SCR mechanism on\nthe MnCo/Cu-Z catalyst, it combines the features of Cu/Z and Mn&lt;sub&gt;1&lt;/sub&gt;Co&lt;sub&gt;2&lt;/sub&gt;/Z.

Topic: Catalytic Processes in Materials Science
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Microfluidic Shear Assay to Distinguish between Bacterial Adhesion and Attachment Strength on Stiffness-Tunable Silicone Substrates

Tuning surface composition and stiffness is now an established strategy to improve the integration of medical implants. Recent evidence suggests that matrix stiffness affects bacterial adhesion, but contradictory findings have been reported in the literature. Distinguishing between the effects of bacterial adhesion and attachment strength on these surfaces may help interpret these findings. Here, we develop a precision microfluidic shear assay to quantify bacterial adhesion strength on stiffness-tunable and biomolecule-coated silicone materials. We demonstrate that bacteria are more strongly attached to soft silicones, compared to stiff silicones; as determined by retention against increasing shear flows. Interestingly, this effect is reduced when the surface is coated with matrix biomolecules. These results demonstrate that bacteria do sense and respond to stiffness of the surrounding environment and that precisely defined assays are needed to understand the interplay among surface mechanics, composition, and bacterial binding.

Topic: Bacterial biofilms and quorum sensing
Subfield: Molecular Biology
Field: Biochemistry, Genetics and Molecular Biology
Domain: Life Sciences
Modularisation strategies in the AEC industry: a comparative analysis

Many industries have benefited from modularisation; while in the architecture, engineering and construction (AEC) industry, the concept of modularisation is associated with dimensional coordination. This has added to an already extensive list of challenges due to market size and the concept of economies of scale in AEC industry, to name but a few. Moreover, there is a myth that the AEC industry is bound to stay associated with build-to-order or made-to-order approach caused the AEC industry to restrict modularisation to the component level. This changes the balance in favour of what this paper calls a bottom-up approach. On the other hand, a valid alternative strategy – referred to in this study as top-down strategy – remains very much underexploited. The clients, therefore, do not have a neutral means by which they can assess which strategy is in their best interest. Likewise, if a construction company plans to make a strategic move towards the principles of modularisation and off-site manufacturing, they do not have clear decision support tools. This study investigates these two main modularisation strategies in the AEC industry to provide some examples of successful cases regarding how, when and where such strategy have been applied by different construction companies in different cases. The collected and collated empirical data and the results from the interviews will help clients and companies to analyse their own cases and make operational decisions on how, when and where to best utilise the bottom-up and top-down modularisation techniques while considering the pros and cons of such decisions.

Topic: Product Development and Customization
Subfield: Management of Technology and Innovation
Field: Business, Management and Accounting
Domain: Social Sciences
Gender recognition of Luffa flowers using machine learning

Automatic flower gender identification could be introduced to large farmlands to help artificial pollination of imperfect flowers. Incomplete flowers contain either male or female organs but not both. In this paper, we present a computer aided system based on image processing and machine learning to identify the gender of a Luffa flower automatically. A pre-trained machine learning model is used for gender segmentation of flowers. The system is developed using Tensorflow Machine Learning Tool, which is an open-source software library for Machine Intelligence. The network was selected as the Google’s Inception model and a dataset was prepared after capturing flower images from a Sri Lankan Luffa farm. The system was tested using two datasets. The first contained the captured original images and the second was prepared by cropping each image to extract male and female floral organs, stamen and pistil respectively. The prototype system classified the flowers as either male or female at 95% accuracy level. The experimental results indicate that the proposed approach can significantly support an accurate identification of the gender of a Luffa flower with some computational effort.

Topic: Plant Virus Research Studies
Subfield: Plant Science
Field: Agricultural and Biological Sciences
Domain: Life Sciences
Planetary nebulae as standard candles. V - The distance to the Virgo Cluster

view Abstract Citations (260) References (73) Co-Reads Similar Papers Volume Content Graphics Metrics Export Citation NASA/ADS Planetary Nebulae as Standard Candles. V. The Distance to the Virgo Cluster Jacoby, George H. ; Ciardullo, Robin ; Ford, Holland C. Abstract We identify and measure the [O III] λ5007 fluxes of 486 planetary nebula candidates in six early-type galaxies (NGC 4374, 4382, 4406, 4472, 4486, and 4649) in the core of the Virgo Cluster. Following the procedures and calibrations outlined in previous papers in this series, we compare the observed planetary nebula luminosity functions to an empirical model based on the planetary nebulae in M31 and derive distances to the galaxies of 15.7, 14.4, 15.7, 13.9, 14.5, and 14.2 Mpc. These distances exhibit superb agreement with a dispersion of only 0.8 Mpc and suggest that the cluster depth is less than 2 Mpc. Most importantly, the distances are totally uncorrelated with parent galaxy metallicity, color, UV flux, or Hubble type. After accounting for all contributions to the uncertainty, we derive a mean distance of 14.7 +/- 1.0 Mpc to the core of the Virgo Cluster. This distance implies that the Hubble constant falls in the range of 81 +/- 6 to 94 +/- 6 km s^-1^ Mpc^-1^, depending on the adopted Virgo velocity and infall model. Publication: The Astrophysical Journal Pub Date: June 1990 DOI: 10.1086/168843 Bibcode: 1990ApJ...356..332J Keywords: Planetary Nebulae; Virgo Galactic Cluster; Astronomical Photometry; Charge Coupled Devices; Distance; Emission Spectra; Galactic Evolution; Metallicity; Sky Surveys (Astronomy); Astrophysics; COSMOLOGY; GALAXIES: DISTANCES; NEBULAE: PLANETARY full text sources ADS | data products SIMBAD (533) NED (493) MAST (1) CDS (1) Related Materials (10) Part 1: 1989ApJ...339...39J Part 2: 1989ApJ...339...53C Part 3: 1989ApJ...344..704J Part 4: 1989ApJ...344..715C Part 6: 1990ApJ...365..471J Part 7: 1991ApJ...383..487C Part 8: 1992ApJ...388..268C Part 9: 1993ApJ...416...62M Part 10: 1996ApJ...462....1J Part 11: 1997ApJ...479..231F

Topic: Astronomy and Astrophysical Research
Subfield: Instrumentation
Field: Physics and Astronomy
Domain: Physical Sciences
Synthesis and Characterization of Hydrogel of Chitosan-Poly (N-Vinyl-2-Pirrolidone) (PVP)- Alginate for Ibuprofen Release

Hydrogels chitosan-poly-(N-vinyl-pyrrolidone)-alginate (Ch/PVP/Alg) have been synthesized with Ca2+, Zn2+ and formaldehyde as crosslinker. Hydrogels with ratio polymer 70:20:10 give a high swelling ratio and good network. The Ch/PVP/Alg/Ca2+ has 463.73% swelling ratio and 80.59% gel. Ch/PVP/Alg/Zn has 489.21% swelling ratio and 81.67% gel. Ch/PVP/Alg crosslinked with formaldehyde result 488.03% swelling ratio and 85.34% gel. Dissolution test of hydrogels in pH 1.2 releases ibuprofen less than 30%. Whereas in the pH 7.4, the release of ibuprofen by hydrogels are relatively high. Ch/PVP/Alg/Ca reach up to 34.63% in 30 minutes and 40.86% for Ch/PVP/Alg/Zn. Meanwhile Ch/PVP/Alg/CH2O can release 44.92% of ibuprofen in 30 minutes. The obtained hydrogel was characterized using infrared (FTIR) spectrophotometry, differential scanning calorimetry (DSC) and scanning electron microscopy (SEM).

Topic: Hydrogels: synthesis, properties, applications
Subfield: Molecular Medicine
Field: Biochemistry, Genetics and Molecular Biology
Domain: Life Sciences
Reply on RC1

<strong class="journal-contentHeaderColor">Abstract.</strong> Long-term and continuous observations of mesosphericâlower thermospheric winds are rare, but they are important to investigate climatological changes at these altitudes on timescales of several years, covering a solar cycle and longer. Such long time series are a natural heritage of the mesosphereâlower thermosphere climate, and they are valuable to compare climate models or long-term runs of general circulation models (GCMs). Here we present a climatological comparison of wind observations from six meteor radars at two conjugate latitudes to validate the corresponding mean winds and atmospheric diurnal and semidiurnal tides from three GCMs, namely the Ground-to-Topside Model of Atmosphere and Ionosphere for Aeronomy (GAIA), the Whole Atmosphere Community Climate Model Extension (Specified Dynamics) (WACCM-X(SD)), and the Upper Atmosphere ICOsahedral Non-hydrostatic (UA-ICON) model. Our results indicate that there are interhemispheric differences in the seasonal characteristics of the diurnal and semidiurnal tide. There are also some differences in the mean wind climatologies of the models and the observations. Our results indicate that GAIA shows reasonable agreement with the meteor radar observations during the winter season, whereas WACCM-X(SD) shows better agreement with the radars for the hemispheric zonal summer wind reversal, which is more consistent with the meteor radar observations. The free-running UA-ICON tends to show similar winds and tides compared to WACCM-X(SD).

Topic: Ionosphere and magnetosphere dynamics
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Analysis of Disordered Materials Using Total Scattering and the Atomic Pair Distribution Function

Research Article| January 01, 2006 Analysis of Disordered Materials Using Total Scattering and the Atomic Pair Distribution Function Thomas Proffen Thomas Proffen Lujan Neutron Scattering Center Los Alamos National Laboratory Los Alamos, New Mexico, 87545, U.S.A. LA-UR 06-0622, e-mail: tproffen@lanl.gov Search for other works by this author on: GSW Google Scholar Author and Article Information Thomas Proffen Lujan Neutron Scattering Center Los Alamos National Laboratory Los Alamos, New Mexico, 87545, U.S.A. LA-UR 06-0622, e-mail: tproffen@lanl.gov Publisher: Mineralogical Society of America First Online: 13 Jul 2017 © The Mineralogical Society Of America Reviews in Mineralogy and Geochemistry (2006) 63 (1): 255–274. https://doi.org/10.2138/rmg.2006.63.11 Article history First Online: 13 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Thomas Proffen; Analysis of Disordered Materials Using Total Scattering and the Atomic Pair Distribution Function. Reviews in Mineralogy and Geochemistry 2006;; 63 (1): 255–274. doi: https://doi.org/10.2138/rmg.2006.63.11 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyReviews in Mineralogy and Geochemistry Search Advanced Search Without a doubt, our ability to determine the atomic structure of complex materials has revolutionized our understanding of these materials over the last decades. Neutron scattering with its unique abilities has contributed greatly to this success. The range of applications of neutron scattering in geosciences are apparent when reading through this volume of Reviews in Mineralogy & Geochemistry. Usual structure determination, the realm of crystallography, is based on the analysis of Bragg intensities. In this article we want to look beyond or underneath the Bragg peaks and discuss the atomic pair distribution function (PDF) method as an approach to more... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

Topic: X-ray Diffraction in Crystallography
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
NIBP Monitoring as a Cause for Intraoperative Hypotension and Postoperative Monoparesis in a Patient Undergoing Lumbar Laminectomy

Reddy, Madhusudan MD; Sriganesh, Kamath DM; Rao, Ganne Sesha Umamaheswara MD Author Information

Topic: Hemodynamic Monitoring and Therapy
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Cancer Immunotherapies Targeting Tumor-Associated Regulatory T Cells

Xiaoxu Ge,1&amp;ndash;4,* Yamei Zhao,1&amp;ndash;4,* Chao Chen,1&amp;ndash;4 Jian Wang,1&amp;ndash;4 Lifeng Sun1&amp;ndash;4 1Department of Colorectal Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, People&amp;rsquo;s Republic of China; 2Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Hangzhou, People&amp;rsquo;s Republic of China; 3Key Laboratory of Molecular Biology in Medical Sciences, Hangzhou, People&amp;rsquo;s Republic of China; 4The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People&amp;rsquo;s Republic of China*These authors contributed equally to this workCorrespondence: Lifeng SunDepartment of Colorectal Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Jiefang Road 88, Hangzhou, Zhejiang 310009, People&amp;rsquo;s Republic of ChinaTel +86-571-87783586Email sunlifeng@zju.edu.cnAbstract: Tumor-associated regulatory T cells (Tregs) are important effectors in the tumor microenvironment (TME), acting as accomplices in the promotion of tumor progression. Currently, the importance of removing the immunosuppressive activity in the TME has received its due attention, and Tregs have been focused on. The cytokine-receptor axes are among the essential signaling pathways in immunocytes, and tumor-associated Tregs are no exception. Therefore, manipulating cytokine-receptor pathways may be a promising effective strategy for treating various malignancies. Here, we summarize the classification, immunosuppressive mechanisms, existing immunotherapies, and potential biomarkers related to tumor-infiltrating Tregs to guide the development of effective cancer immunotherapies.Keywords: Tregs, immune suppression, chemokine receptors, biomarkers, cancer immunotherapies

Topic: CAR-T cell therapy research
Subfield: Oncology
Field: Medicine
Domain: Health Sciences