cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A microprocessor based on a two-dimensional semiconductor
Creators: name: Wachter, Stefan
name: Polyushkin, Dmitry K.
name: Bethge, Ole
name: Mueller, Thomas
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The advent of microcomputers in the 1970s has dramatically changed our society. Since then, microprocessors have been made almost exclusively from silicon, but the ever-increasing demand for higher integration density and speed, lower power consumption and better integrability with everyday goods has prompted the search for alternatives. Germanium and III-V compound semiconductors are being considered promising candidates for future high-performance processor generations and chips based on thin-film plastic technology or carbon nanotubes could allow for embedding electronic intelligence into arbitrary objects for the Internet-of-Things. Here, we present a 1-bit implementation of a microprocessor using a two-dimensional semiconductor - molybdenum disulfide. The device can execute user-defined programs stored in an external memory, perform logical operations and communicate with its periphery. Importantly, our 1-bit design is readily scalable to multi-bit data. The device consists of 115 transistors and constitutes the most complex circuitry so far made from a two-dimensional material.
description: 20 pages, 9 figures
Deliverable D5.2 - Report with the preliminary co-design outcome
Creators: name: D'URSO Sebastiano
name: NICOLOSI Grazia Maria
name: EVOLA Gianpiero
name: COSTANZO Vincenzo
name: TARDO Carola
name: SEMPRINI Giovanni
name: LIUZZO Mariangela
Publisher: name: Zenodo
Year: 2022
Subjects: Pilot building
Energy and seismic renovation
Residential building
Cross Laminated Timber
Heat pumps
PV system
Energy savings

description: This document is the Deliverable “D5.2 – Report with the preliminary co-design outcome” of the e-SAFE project (Grant Agreement No. 893135), funded by the European Commission under its Horizon 2020 Research and Innovation Programme (H2020).

The document describes the preliminary co-design activities that led to the preliminary design of the pilot building in Via Acquicella Porto 27/H in Catania (Italy) within the e-SAFE project. The document also reports the outcomes of the co-design process regarding architectural, technological, structural issues, and the thermal systems. e-SAFE experts and local stakeholders have contributed to them, each one for their own skills and needs.
Environmental Sustainability: Impacts on Business Performance in Apparel Industry
Creators: name: Truong, Huong "Katie"
Publisher: name: The University of Texas at Austin
Year: 2021
Subjects: environmental sustainability
fashion industry
apparel industry
green
business performance
eco-friendly
green fashion
sustainable fashion

description: From 2020 to 2025, the global apparel market expects to grow from $1.46 trillion to $2.25 trillion. Moreover, the apparel industry exists within the broader fashion industry, a $2.5 trillion industry that employs 430 million people worldwide. For perspective, 1 out of 8 participants in the global workforce works to support the fashion industry. As a major economic force, the fashion industry has an outsized capacity to inflict environmental damage. Currently, the fashion industry emits 2.1 billion metric ton of carbon, consumes 79 billion cubic meters of water, and produces 92 million tons of textile waste per year. Given these statistics, the industry ranks second in terms of its carbon footprint, water consumption, and pollution output. With this industry backdrop, how can businesses support their bottom-line and mitigate their adverse environmental impact? I rely on two methods for detangling the relationship between business performance and environmentally sustainable practices. Using profitability as a proxy for business performance, I decompose profit into revenue and cost. Under the first method, I break down the underlying components of revenue, delving into how shifts in price and volume affect profitability and sustainability. Under the second method, I conduct a value chain analysis with a focus on cost. Ultimately, I learn that consumers expect eco-friendly products to command higher prices and are increasingly willing to pay more. Consequently, businesses can increase revenue through higher prices but should not necessarily aim to increase volume, which exacerbates the problem of overconsumption. Although sustainable practices often impose higher upfront costs, businesses have the opportunity at various points in the value chain to adopt sustainable practices that generate cost savings in the long run.
Additional file 5 of The MYB transcription factor CiMYB42 regulates limonoids biosynthesis in citrus
Creators: name: Zhang, Pan
name: Liu, Xiaofeng
name: Yu, Xin
name: Wang, Fusheng
name: Long, Junhong
name: Shen, Wanxia
name: Jiang, Dong
name: Zhao, Xiaochun
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 5: Figure S4. The minimal AbA inhibitory concentration of the bait vector. (a) pAbAi-SQS; (b) pAbAi-OSC.
An Exploration of the Principles of a Circular Economy
Creators: name: Villarreal, Max M.
Publisher: name: The University of Texas at Austin
Year: 2021
Subjects: Circular Economy
Recycling
Climate Change

description: The push to curtail the effects of climate change has resulted in innovation around the world to slash emissions and promote sustainable resources. One such innovation that shows promise is the adoption of a circular economy. A circular economy allows for both responsible use of resources and the creation of a new, sustainable marketplace. Despite these advances there is still not an industry accepted definition of what comprises a circular economy. Which practices pursue the principles of a circular economy and which practices should be rejected by consumers and investors? This is the question this paper seeks to answer. Creating a comprehensive definition of a circular economy is something that cannot be contained in one thesis alone. This paper will utilize the Ellen MacArthur Foundation’s definition of a circular economy as a foundation to establish additional sub-principles. These sub-principles will be built upon each individual principle in the definition through the evaluation of current practices. Each principle will be examined individually before the conclusion synthesizes the learnings of the paper.
title: ADCO, Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Cart. 32 (G 136), 745 folios, f. 1337
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Archives départementales de la Côte-d'Or, Cart. 32 (G 136), 745 folios, f. 1337, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Archives départementales de la Côte-d'Or, Cart. 32 (G 136), 745 folios, f. 1337, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye Saint-Étienne de Dijon
description: Provenance: http://www.wikidata.org/entity/Q15945019
A Computational Framework for Multivariate Convex Regression and Its Variants
Creators: name: Mazumder, Rahul
name: Arkopal Choudhury
name: Garud Iyengar
name: Bodhisattva Sen
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Space Science
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: 111714 Mental Health
subject: FOS: Health sciences

description: We study the nonparametric least squares estimator (LSE) of a multivariate convex regression function. The LSE, given as the solution to a quadratic program with O(n2) linear constraints (n being the sample size), is difficult to compute for large problems. Exploiting problem specific structure, we propose a scalable algorithmic framework based on the augmented Lagrangian method to compute the LSE. We develop a novel approach to obtain smooth convex approximations to the fitted (piecewise affine) convex LSE and provide formal bounds on the quality of approximation. When the number of samples is not too large compared to the dimension of the predictor, we propose a regularization scheme—Lipschitz convex regression—where we constrain the norm of the subgradients, and study the rates of convergence of the obtained LSE. Our algorithmic framework is simple and flexible and can be easily adapted to handle variants: estimation of a nondecreasing/nonincreasing convex/concave (with or without a Lipschitz bound) function. We perform numerical studies illustrating the scalability of the proposed algorithm—on some instances our proposal leads to more than a 10,000-fold improvement in runtime when compared to off-the-shelf interior point solvers for problems with n = 500.
Retraction of dissolution front in natural porous media
Creators: name: Yang, Yi
name: Bruns, Stefan
name: Rogowska, Melania
name: Hakim, Sepideh S.
name: Hammel, Jörg U.
name: Stipp, Susan L. S.
name: Sørensen, Henning O.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Geophysics (physics.geo-ph)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: FOS: Physical sciences

description: The dissolution of porous materials in a flow field shapes the morphologies of many geologic landscapes. Identifying the dissolution front, the interface between the reactive and the unreactive regions in a dissolving medium, is a prerequisite for studying dissolution kinetics. Despite its fundamental importance, the dynamics of a dissolution front in an evolving natural microstructure has never been reported. Here we show an unexpected spontaneous migration of the dissolution front against the pressure gradient of a flow field. This retraction stems from the infiltration instability induced surface generation, which can lead to a reactive surface dramatically greater than the ex situ geometric surface. The results are supported by a very good agreement between observations made with real time X-ray imaging and simulations based on static images of a rock determined by nanoCT. They both show that the in situ specific surface area of natural porous media is dependent on the flow field and reflects a balancing between surface generation and destruction. The reported dynamics challenge many long-held understanding of water-rock interactions and shed light on reconciling the discrepancies between field and laboratory measurements of reaction kinetics.
description: 20 pages, 3 figures
Superconductivity of monolayer Mo$_2$C: the key role of functional groups
Creators: name: Zhang, Jun-Jie
name: Dong, Shuai
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Monolayer Mo$_2$C is a new member of two-dimensional materials. Here the electronic structure and lattice dynamics of monolayer Mo$_2$C are calculated. According to the electron-phonon interaction, it is predicted that monolayer Mo$_2$C could be a quasi-two-dimensional superconductor and the effects of functional-groups are crucially important considering its unsaturated surface. Despite the suppressed superconductivity by chalcogen adsorption, our most interesting prediction is that the electron-phonon interaction of monolayer Mo$_2$C can be greatly enhanced by bromine absorbtion, suggesting that Mo$_2$CBr$_2$ as a good candidate for nanoscale superconductor.
description: 6 pages, 6 figures
IAM_COMPACT_D1.3_Report_on_Project_and_SAB_Meetings
Creators: name: Karamaneas, Anastasios
name: Frilingou, Natasha
name: Nikas, Alexandros
Publisher: name: Zenodo
Year: 2023

description: This report can be used for internally reviewing the project’s progress and as a reference point for project partners on their tasks’ completion regarding the agreed conditions by the consortium.
A Computational Framework for Multivariate Convex Regression and its Variants
Creators: name: Mazumder, Rahul
name: Arkopal Choudhury
name: Garud Iyengar
name: Bodhisattva Sen
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Space Science
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: 111714 Mental Health
subject: FOS: Health sciences

description: We study the nonparametric least squares estimator (LSE) of a multivariate convex regression function. The LSE, given as the solution to a quadratic program with O(n2) linear constraints (n being the sample size), is difficult to compute for large problems. Exploiting problem specific structure, we propose a scalable algorithmic framework based on the augmented Lagrangian method to compute the LSE. We develop a novel approach to obtain smooth convex approximations to the fitted (piecewise affine) convex LSE and provide formal bounds on the quality of approximation. When the number of samples is not too large compared to the dimension of the predictor, we propose a regularization scheme — Lipschitz convex regression — where we constrain the norm of the subgradients, and study the rates of convergence of the obtained LSE. Our algorithmic framework is simple and flexible and can be easily adapted to handle variants: estimation of a non-decreasing/non-increasing convex/concave (with or without a Lipschitz bound) function. We perform numerical studies illustrating the scalability of the proposed algorithm — on some instances our proposal leads to more than a 10,000-fold improvement in runtime when compared to off-the-shelf interior point solvers for problems with n = 500.
Accurate and Efficient P-value Calculation Via Gaussian Approximation: A Novel Monte-Carlo Method
Creators: name: Yaowu Liu
name: Xie, Jun
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: It is of fundamental interest in statistics to test the significance of a set of covariates. For example, in genome-wide association studies, a joint null hypothesis of no genetic effect is tested for a set of multiple genetic variants. The minimum p-value method, higher criticism, and Berk–Jones tests are particularly effective when the covariates with nonzero effects are sparse. However, the correlations among covariates and the nonGaussian distribution of the response pose a great challenge toward the p-value calculation of the three tests. In practice, permutation is commonly used to obtain accurate p-values, but it is computationally very intensive, especially when we need to conduct a large amount of hypothesis testing. In this paper, we propose a Gaussian approximation method based on a Monte Carlo scheme, which is computationally more efficient than permutation while still achieving similar accuracy. We derive nonasymptotic approximation error bounds that could vanish in the limit even if the number of covariates is much larger than the sample size. Through real-genotype-based simulations and data analysis of a genome-wide association study of Crohn’s disease, we compare the accuracy and computation cost of our proposed method, of permutation, and of the method based on asymptotic distribution. Supplementary materials for this article are available online.
Accurate and Efficient P-value Calculation via Gaussian Approximation: a Novel Monte-Carlo Method
Creators: name: Yaowu Liu
name: Xie, Jun
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: It is of fundamental interest in statistics to test the significance of a set of covariates. For example, in genome-wide association studies, a joint null hypothesis of no genetic effect is tested for a set of multiple genetic variants. The minimum p-value method, higher criticism, and Berk–Jones tests are particularly effective when the covariates with nonzero effects are sparse. However, the correlations among covariates and the non-Gaussian distribution of the response pose a great challenge towards the p-value calculation of the three tests. In practice, permutation is commonly used to obtain accurate p-values, but it is computationally very intensive, especially when we need to conduct a large amount of hypothesis testing. In this paper, we propose a Gaussian approximation method based on a Monte Carlo scheme, which is computationally more efficient than permutation while still achieving similar accuracy. We derive non-asymptotic approximation error bounds that could vanish in the limit even if the number of covariates is much larger than the sample size. Through real-genotype-based simulations and data analysis of a genome-wide association study of Crohn's disease, we compare the accuracy and computation cost of our proposed method, of permutation, and of the method based on asymptotic distribution.
Deliverable D5.12 (part 1, 2)_Chromosome number and karyotype of soil seed bank species report (SOIL O-LIVE_HORIZON EUROPE ID 101091255)
Creators: name: University of Silesia in Katowice
Publisher: name: Zenodo
Year: 2025

description: D5.12. A technical report on revealing chromosome numbers and providing basic karyotype characteristics of taxa was analyzed annually, throughout the project's lifetime. (T5.8)
Free energy calculation of mechanically unstable but dynamically stabilized bcc titanium
Creators: name: Kadkhodaei, Sara
name: Hong, Qi-Jun
name: van de Walle, Axel
Publisher: name: arXiv
Year: 2017
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The phase diagram of numerous materials of technological importance features high-symmetry high-temperature phases that exhibit phonon instabilities. Leading examples include shape-memory alloys, as well as ferroelectric, refractory, and structural materials. The thermodynamics of these phases have proven challenging to handle by atomistic computational thermodynamic techniques, due to the occurrence of constant anharmonicity-driven hopping between local low-symmetry distortions, while maintaining a high-symmetry time-averaged structure. To compute the free energy in such phases, we propose to explore the system's potential-energy surface by discrete sampling of local minima by means of a lattice gas Monte Carlo approach and by continuous sampling by means of a lattice dynamics approach in the vicinity of each local minimum. Given the proximity of the local minima, it is necessary to carefully partition phase space by using a Voronoi tessellation to constrain the domain of integration of the partition function, in order to avoid double-counting artifacts and enable an accurate harmonic treatment near each local minima. We consider the bcc phase of titanium as a prototypical examples to illustrate our approach.
FINANCIAL TECHNOLOGY AS A MEANS TO REDUCE ABSOLUTE POVERTY
Creators: name: AKHILESH DALJEET BACCHOO
name: Dr. PRASHANT KUMAR MISHRA
Publisher: name: Zenodo
Year: 2025
Subjects: Financial Technology (FinTech), Absolute Poverty, Financial Inclusion, Mobile Money, Digital Financial Services.

description: Abstract

Financial technology (FinTech) drives major changes worldwide in financial operations especially in low-income countries that abandoned traditional banking services to the poor. FinTech which merges technology within financial services products allows organizations to bring improved delivery systems to consumers thereby creating new poverty reduction solutions for the World Bank-defined absolute poverty standard of $2.15 per day. Through digital tools encompassing mobile banking and blockchain systems along with AI-based credit evaluation FinTech carries out financial inclusion for underserved groups who gain protected access to saving money and loans and investment possibilities. Absolute poverty relief through FinTech stems mainly from its capability to supply microloans and mobile money services. M-Pesa's mobile payment system in Kenya proved that digital financial methods create poverty alleviation for families when used for simplified money transfer operations at lower expenses. FinTech platforms now link to biometric ID systems which allows undocumented people to access financial products thus preventing their continuous exclusion from the market. The development of entrepreneurship serves as a poverty reduction method through the support of FinTech platforms. The connection of low-scale vendors to credit services together with peer-to-peer financing options enables people to earn income while funding education and improving medical wellbeing. Despite progress there are three obstacles to tackle namely digital literacy problems combined with cyber dangers and inconsistent regulatory standards which might result in increased social gaps unless proper risk management is adopted. FinTech holds significant power to assist poverty reduction strategies despite not being an overall solution to global economic needs. Responsible deployment of FinTech technology enables social bridges to form between economic divisions so the world's poorest groups gain financial independence and enhance their life quality.
Expressing Phosphoribulokinase from the Photosynthetic Pathway of Chlamydomonas reinhardtii
Creators: name: An, David
Publisher: name: Zenodo
Year: 2024

description: Genetic modification of plants to synthesize biomass more effectively is a potential method to alleviate the effects of climate change by reducing CO2 emissions and increasing atmospheric carbon uptake. However, plant transformation is limited by specific transformation protocols, slow growth and reproduction, and complex existing metabolic pathways. Expressing autotrophic metabolic pathways in model bacterial organisms such as Escherichia coli is a viable alternate method to plant transformation. Phosphoribulokinase (Prk) is an essential enzyme unique to autotrophs that catalyzes the phosphorylation of ribulose 5-phosphate (Ru5P) into ribulose 1,5-bisphosphate (RuBP) in the Calvin Cycle of photosynthesis. Along with Rubisco, it is a major factor on the metabolic rate in autotrophic organisms. Vibrio natriegens is a promising model organism capable of doubling in 10 minutes. This project aimed to transform V. natriegens with the prk gene from Chlamydomonas reinhardtii using the pGEM-T Easy vector and quantify the expression of prk. While this project was not completed as primer dimer formation hindered successful PCR amplification of prk, it contributes information for future work with V. natriegens and possible completion by reconducting PCR and transforming the bacteria with prk.
Noncovalent Synthesis of Homo and Hetero-Architectures of Supramolecular Polymers via Secondary Nucleation
Creators: name: Sahu, Rahul
name: Reddy, Sandeep Kumar
Publisher: name: Zenodo
Year: 2024

description: Atomic coordinates (in xyz format) of three (1c, 2c, 3c) most stable chair-type conformations and three (1b, 2b, 3b) most stable boat-type conformations of 2EH-PDI molecule.
CO2 hydrate: Modeling of incipient stability conditions and dissociation enthalpy
Creators: name: Ghiasi, Mohammad M.
name: Noorollahi, Younes
name: Alireza Aslani
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: In this study, CO2 hydrate incipient stability zone in pure water is modelled employing an empirical tool, classification and regression tree, least squares support vector machine, and adaptive neuro-fuzzy inference system. Furthermore, a new semi-theoretical model is developed to estimate CO2 hydrate dissociation enthalpy. Moreover, the quality of CO2 hydrate's experimental data is assessed through a thermodynamic-based and Leverage approaches. Results revealed that: (1) the proposed models provide satisfactory predictions; (2) there are some doubtful data in the database; (3) outcomes of the developed semi-theoretical model for estimating the CO2 hydrate dissociation enthalpy are in good agreement with previous works.
Uniqueness of a 3-D coefficient inverse scattering problem without the phase information
Creators: name: Klibanov, Michael V.
name: Romanov, Vladimir G.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We use a new method to prove uniqueness theorem for a coefficient inverse scattering problem without the phase information for the 3-D Helmholtz equation. We consider the case when only the modulus of the scattered wave field is measured and the phase is not measured. The spatially distributed refractive index is the subject of the interest in this problem. Applications of this problem are in imaging of nanostructures and biological cells.
Including Covariates in the Regression Discontinuity Design
Creators: name: Frölich, Markus
name: Huber, Martin
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy

description: This article proposes a fully nonparametric kernel method to account for observed covariates in regression discontinuity designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates reduces the asymptotic variance and allows estimating the treatment effect at the rate of one-dimensional nonparametric regression, irrespective of the dimension of the continuously distributed elements in the conditioning set. Furthermore, the proposed method may decrease bias and restore identification by controlling for discontinuities in the covariate distribution at the discontinuity threshold, provided that all relevant discontinuously distributed variables are controlled for. To illustrate the estimation approach and its properties, we provide a simulation study and an empirical application to an Austrian labor market reform. Supplementary materials for this article are available online.
IAM_COMPACT_MS3_Stakeholder_engagement_database
Creators: name: Mayer, Daniel
name: Nikas, Alexandros
Publisher: name: Zenodo
Year: 2022

description: Stakeholder engagement is a key part of IAM COMPACT, as laid out in the Grant Agreement WP2 “Listening – Ensuring policy relevance and ownership”, and the deliverable D2.1, which describes in detail the strategy put into place to design this process. As described in detail in D2.1, Section “3.2 Stakeholder pool”, a key element of the strategy is the contact database, which collects all relevant stakeholders collected throughout the project. Below we outline specific information on how the IAM COMPACT  stakeholder engagement database will be set up, to be fully transparent and GDPR-compliant.
Additional file 6 of The MYB transcription factor CiMYB42 regulates limonoids biosynthesis in citrus
Creators: name: Zhang, Pan
name: Liu, Xiaofeng
name: Yu, Xin
name: Wang, Fusheng
name: Long, Junhong
name: Shen, Wanxia
name: Jiang, Dong
name: Zhao, Xiaochun
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 6: Figure S5. Expression and purification of the CiMYB42 protein. (a) The recombinant CiMYB42 protein expressed in Rosetta (DE3); (b) The supernatant and deposition of the CiMYB42 protein were examined by SDS-PAGE after ultrasonication; (c) SDS-PAGE analysis of recombinant and purified CiMYB42 protein; Lane M: protein ladder (116.0/66.2/45.0/35.0/25.0/18.4/14.4 kD); Lane 1: uninduced Rosetta (DE3) carrying pMAL-C2X; Lane 2: Rosetta (DE3) carrying pMAL-C2X induced by 1 mM IPTG; Lane 3: supernatant of the CiMYB42 protein; Lane 4: precipitate of the CiMYB42 protein; Lane 5: purified CiMYB42 protein; Lane 6: purified CiMYB42 protein. The molecular weight of recombinant CiMYB42 protein is 72.21kD. The gel image were cropped because original image includes some of other samples not related to this study.
Including covariates in the regression discontinuity design
Creators: name: Frölich, Markus
name: Huber, Martin
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: This paper proposes a fully nonparametric kernel method to account for observed covariates in regression discontinuity designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates reduces the asymptotic variance and allows estimating the treatment effect at the rate of one-dimensional nonparametric regression, irrespective of the dimension of the continuously distributed elements in the conditioning set. Furthermore, the proposed method may decrease bias and restore identification by controlling for discontinuities in the covariate distribution at the discontinuity threshold, provided that all relevant discontinuously distributed variables are controlled for. To illustrate the estimation approach and its properties, we provide a simulation study and an empirical application to an Austrian labor market reform.
An improved Ant Colony System for the Sequential Ordering Problem
Creators: name: Skinderowicz, Rafał
Publisher: name: arXiv
Year: 2017
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: It is not rare that the performance of one metaheuristic algorithm can be improved by incorporating ideas taken from another. In this article we present how Simulated Annealing (SA) can be used to improve the efficiency of the Ant Colony System (ACS) and Enhanced ACS when solving the Sequential Ordering Problem (SOP). Moreover, we show how the very same ideas can be applied to improve the convergence of a dedicated local search, i.e. the SOP-3-exchange algorithm. A statistical analysis of the proposed algorithms both in terms of finding suitable parameter values and the quality of the generated solutions is presented based on a series of computational experiments conducted on SOP instances from the well-known TSPLIB and SOPLIB2006 repositories. The proposed ACS-SA and EACS-SA algorithms often generate solutions of better quality than the ACS and EACS, respectively. Moreover, the EACS-SA algorithm combined with the proposed SOP-3-exchange-SA local search was able to find 10 new best solutions for the SOP instances from the SOPLIB2006 repository, thus improving the state-of-the-art results as known from the literature. Overall, the best known or improved solutions were found in 41 out of 48 cases.
description: 30 pages, 8 tables, 11 figures
Tracking the Impact of Media on Voter Choice in Real Time: A Bayesian Dynamic Joint Model
Creators: name: Bhuvanesh Pareek
name: Pulak Ghosh
name: Wilson, Hugh N.
name: Macdonald, Emma K.
name: Baines, Paul
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: Commonly used methods of evaluating the impact of marketing communications during political elections struggle to account for respondents’ exposures to these communications due to the problems associated with recall bias. In addition, they completely fail to account for the impact of mediated or earned communications, such as newspaper articles or television news, that are typically not within the control of the advertising party, nor are they effectively able to monitor consumers’ perceptual responses over time. This study based on a new data collection technique using cell-phone text messaging (called real-time experience tracking or RET) offers the potential to address these weaknesses. We propose an RET-based model of the impact of communications and apply it to a unique choice situation: voting behavior during the 2010 UK general election, which was dominated by three political parties. We develop a Bayesian zero-inflated dynamic multinomial choice model that enables the joint modeling of: the interplay and dynamics associated with the individual voter's choice intentions over time, actual vote, and the heterogeneity in the exposure to marketing communications over time. Results reveal the differential impact over time of paid and earned media, demonstrate a synergy between the two, and show the particular importance of exposure valence and not just frequency, contrary to the predominant practitioner emphasis on share-of-voice metrics. Results also suggest that while earned media have a reducing impact on voting intentions as the final choice approaches, their valence continues to influence the final vote: a difference between drivers of intentions and behavior that implies that exposure valence remains critically important close to the final brand choice. Supplementary materials for this article are available online.
Decomposing Treatment Effect Variation
Creators: name: Ding, Peng
name: Feller, Avi
name: Miratrix, Luke
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Medicine
subject: Neuroscience
subject: Pharmacology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Plant Biology
subject: FOS: Biological sciences

description: Understanding and characterizing treatment effect variation in randomized experiments has become essential for going beyond the “black box” of the average treatment effect. Nonetheless, traditional statistical approaches often ignore or assume away such variation. In the context of randomized experiments, this article proposes a framework for decomposing overall treatment effect variation into a systematic component explained by observed covariates and a remaining idiosyncratic component. Our framework is fully randomization-based, with estimates of treatment effect variation that are entirely justified by the randomization itself. Our framework can also account for noncompliance, which is an important practical complication. We make several contributions. First, we show that randomization-based estimates of systematic variation are very similar in form to estimates from fully interacted linear regression and two-stage least squares. Second, we use these estimators to develop an omnibus test for systematic treatment effect variation, both with and without noncompliance. Third, we propose an R2-like measure of treatment effect variation explained by covariates and, when applicable, noncompliance. Finally, we assess these methods via simulation studies and apply them to the Head Start Impact Study, a large-scale randomized experiment. Supplementary materials for this article are available online.
A Systematic Search for Near-Infrared Counterparts of Nearby Ultraluminous X-ray sources (II)
Creators: name: López, K. M.
name: Heida, M.
name: Jonker, P. G.
name: Torres, M. A. P.
name: Roberts, T. P.
name: Walton, D. J.
name: Moon, D. -S.
name: Harrison, F. A.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We present the results of our continued systematic search for near-infrared (NIR) candidate counterparts to ultraluminous X-ray sources (ULXs) within 10 Mpc. We observed 42 ULXs in 24 nearby galaxies and detected NIR candidate counterparts to 15 ULXs. Fourteen of these ULXs appear to have a single candidate counterpart in our images and the remaining ULX has 2 candidate counterparts. Seven ULXs have candidate counterparts with absolute magnitudes in the range between -9.26 and -11.18 mag, consistent with them being red supergiants (RSGs). The other eight ULXs have candidate counterparts with absolute magnitudes too bright to be a single stellar source. Some of these NIR sources show extended morphology or colours expected for Active Galactic Nuclei (AGN), strongly suggesting that they are likely stellar clusters or background galaxies. The red supergiant candidate counterparts form a valuable sample for follow-up spectroscopic observations to confirm their nature, with the ultimate goal of directly measuring the mass of the compact accretor that powers the ULX using binary Doppler shifts.
description: 14 pages, 2 figures, 5 tables, accepted for publication in MNRAS
A Condensation-Coalescence Cloud Model for Exoplanetary Atmospheres: Formulation and Test Applications to Terrestrial and Jovian Clouds
Creators: name: Ohno, Kazumasa
name: Okuzumi, Satoshi
Publisher: name: arXiv
Year: 2017
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Physical sciences

description: A number of transiting exoplanets have featureless transmission spectra that might suggest the presence of clouds at high altitudes. A realistic cloud model is necessary to understand the atmospheric conditions under which such high-altitude clouds can form. In this study, we present a new cloud model that takes into account the microphysics of both condensation and coalescence. Our model provides the vertical profiles of the size and density of cloud and rain particles in an updraft for a given set of physical parameters, including the updraft velocity and the number density of cloud condensation nuclei (CCN). We test our model by comparing with observations of trade-wind cumuli on the Earth and ammonia ice clouds in Jupiter. For trade-wind cumuli, the model including both condensation and coalescence gives predictions that are consistent with observations, while the model including only condensation overestimates the mass density of cloud droplets by up to an order of magnitude. For Jovian ammonia clouds, the condensation-coalescence model simultaneously reproduces the effective particle radius, cloud optical thickness, and cloud geometric thickness inferred from Voyager observations if the updraft velocity and CCN number density are taken to be consistent with the results of moist convection simulations and Galileo probe measurements, respectively. These results suggest that the coalescence of condensate particles is important not only in terrestrial water clouds but also in Jovian ice clouds. Our model will be useful to understand how the dynamics, compositions, and nucleation processes in exoplanetary atmospheresaffects the vertical extent and optical thickness of exoplanetary clouds via cloud microphysics.
description: 11 pages, 7 figures, accepted for publication in ApJ
Chiral Corrections to Baryon Electromagnetic Form Factors
Creators: name: Perry, Robert J.
name: Carrillo-Serrano, Manuel E.
name: Thomas, Anthony W.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Corrections motivated by chiral symmetry arguments have long been known to give important contributions to hadronic observables, particularly at low momentum transfer. It is possible to separate these approaches into two broad groups; either the corrections are implemented at the parton level, or at the hadron level. We explore the results of incorporating pion loop corrections at the hadron level to a calculation of electromagnetic form factors in the NJL model. These calculations are compared with the result of an earlier implementation of pion loops at the parton level using the same NJL model formalism. A particular parameter set yields a good description of low energy nucleon properties within both approaches. However, for the $Σ^-$ there is a remarkable improvement when the chiral corrections are implemented at the hadronic level.
description: 7 pages, 4 figures, 4 tables
Strongly interaction-enhanced valley magnetic response in monolayer WSe2
Creators: name: Wang, Zefang
name: Mak, Kin Fai
name: Shan, Jie
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Coulomb interaction between electrons lies at the heart of magnetism in solids. In contrast to conventional two-dimensional (2D) systems, electrons in monolayer transition metal dichalcogenides (TMDs) possess coupled spin and valley degrees of freedom by the spin-orbit interaction. The electrons are also strongly interacting even in the high-density regime because of the weak dielectric screening in two dimensions and a large band mass. The combination of these properties presents a unique platform for exploring spin and valley magnetism in 2D electron liquids. Here we report an observation by magneto-photoluminescence spectroscopy of a nonlinear valley Zeeman effect, correlated with an over fourfold enhancement in the exciton g-factor in monolayer WSe2. The effect occurs when the Fermi level crosses the spin-split upper conduction band, corresponding to a change of the spin-valley degeneracy from 2 to 4. The enhancement increases, shows no sign of saturation as the sample temperature decreases. Our result suggests the possibility of rich many-body ground states in monolayer TMDs with multiple internal degrees of freedom.
description: 11 pages, 3 figures
Additional file 1: of Chronic obstructive pulmonary disease in rheumatoid arthritis: a systematic review and meta-analysis
Creators: name: Ma, Yubo
name: Tong, Hui
name: Zhang, Xu
name: Wang, Mengmeng
name: Yang, Jiajia
name: Wu, Meng
name: Han, Renfang
name: Chen, Mengya
name: Hu, Xingxing
name: Yuan, Yaping
name: Pan, Guixia
name: Zou, Yanfeng
name: Xu, Shengqian
name: Pan, Faming
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: Biotechnology
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine

description: Table S1. PRISMA checklist. Table S2. MOOSE checklist. Table S3. Detailed characteristics of included studies. Figure S1. Search strategy of the electrical databases. Figure S2. Funnel plots on the RR and prevalence of COPD in RA: A) Funnel plot on the RR of COPD in RA; B) Funnel plot on the prevalence of COPD in RA. Figure S3. Funnel plots of Egger’s linear regression and Begg’s rank correlation test of RR of COPD in RA: A) Begg’s rank correlation; B) Egger’s linear regression. Figure S4. Funnel plots of Egger’s linear regression and Begg’s rank correlation test of prevalence of COPD in RA patients: A) Begg’s rank correlation; B) Egger’s linear regression. (DOCX 580 kb)
title: ADCO, Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome IV, Cart. 188 (11 H 73), f. 0040v
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: cartulaire
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome IV, Archives départementales de la Côte-d'Or, Cart. 188 (11 H 73), f. 0040v, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome IV, Archives départementales de la Côte-d'Or, Cart. 188 (11 H 73), f. 0040v, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
title: Petites et moyennes entreprises minières en Nouvelle-Calédonie. Note de synthèse
Creators: name: Bouard, Séverine
name: Levacher, Claire
name: Bencivengo, Yann
name: Decottigny, Louise
name: Demmer, Christine
name: Le Meur, Pierre-Yves
name: Blaise, Séverine
name: Burton, John
name: Enjuanes, Franck
name: Grochain, Sonia
Publisher: name: CNRT Nickel et son environnement
Year: 2019
Subjects: subject: FOS: Sociology
valueUri: http://www.oecd.org/science/inno/38235147.pdf
subject: FOS: Economics and business
valueUri: http://www.oecd.org/science/inno/38235147.pdf

description: Programme PME minières. [Tome Nickel et Société]