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    Replication Data for: "Outcome isn't Everything: Electoral Consequences of Implementing or Withdrawing Unpopular Policies"

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    This repository contains all the necessary code and data to reproduce the results in the Main Text & Appendices of the paper "Outcome isn't Everything: Electoral Consequences of Implementing or Withdrawing Unpopular Policies"

    Entrevistas com os assentados ligados à Cooperativa Dos Trabalhadores Assentados Da Região De Porto Alegre LTDA (COOTAP)

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    Entrevistas realizadas para a obtenção de dados acerca dos níveis de segurança alimentar dentro dos assentamentos ligados à Cooperativa Dos Trabalhadores Assentados Da Região De Porto Alegre LTDA (COOTAP). As entrevistas foram utilizadas na dissertação de mestrado " DA TERRA AO PÃO: A REFORMA AGRÁRIA COMO CONDIÇÃO PARA GARANTIA DA SEGURANÇA ALIMENTAR A PARTIR DA COOTAP- LTDA" do Programa de Pós-Graduação em Direito da UFSM

    Pathways to Corporate Green Technological Innovation: An Analysis from the Perspective of Dynamic Capabilities

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    In the context of current global climate change and sustainable development, green technological innovation has become a crucial issue. Chinese enterprises play a key role in this process, not only because China is the largest developing country in the world, but also because of its significant position in the global economy. Therefore, this study aims to explore the main pathways of green technological innovation in Chinese enterprises from the perspective of dynamic capabilities. After analyzing the impact mechanism of corporate dynamic capabilities on green technological innovation, the study finds that dynamic capabilities have a significant influence on the choice of pathways for corporate green technological innovation at different levels. Enterprises with high-level dynamic capabilities are more efficient in enhancing green technological innovation through independent R&D, while those with medium-level capabilities find cooperative R&D more efficient for enhancing green technological innovation, and enterprises with lower dynamic capabilities find technology transactions more efficient for enhancing green technological innovation. Furthermore, this study also found that environmental turbulence, as a moderating variable, significantly affects the relationship between dynamic capabilities and corporate green technological innovation. In more turbulent market environments, the dynamic capabilities of firms in promoting green technological innovation may be weakened. In light of these findings, this study proposes a series of countermeasures for businesses and governments, including strengthening the cultivation of dynamic capabilities, promoting the coordinated development of independent and collaborative R&D, improving the efficiency of technology transactions and applications, and increasing government support for green technological innovation

    Wake Vision

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    "Wake Vision" is a large, high-quality dataset featuring over 6 million images, significantly exceeding the scale and diversity of current tinyML datasets (100x). The dataset contains images with annotations of whether each image contains a person. Additionally, the dataset incorporates a comprehensive fine-grained benchmark to assess fairness and robustness, covering perceived gender, perceived age, subject distance, lighting conditions, and depictions. This dataset hosted on Harvard Dataverse contains images, CSV files, and code to generate a Wake Vision TensorFlow Dataset. We publish the annotations of this dataset under a CC BY 4.0 license. All images in the dataset are from the Open Images v7 dataset, which are sourced images from Flickr and are listed as having a CC BY 2.0 license

    Quantum Lattice Representation for the Curl Equations of Maxwell Equations

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    A quantum lattice representation (QLA) is devised for the initial value problem of one-dimensional (1D) propagation of an electromagnetic disturbance in a scalar dielectric medium satisfying directly only the two curl equations of Maxwell. It si found that only 4 qubits/node are required. The collision, streaming, and potential operators are determined so as to recover the two curl equations to second order. Both polarizations are considered

    ThangkaDatasets_82688

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    Thangka Mural Image Super-Resolution Datase

    Single-cell RNA sequencing for one Grave's disease and one control female

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    Single-cell RNA sequencing for one Grave's disease and one control femal

    Enumerator Characteristics and Reporting Bias

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    The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women’s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Evidence suggests that men’s and women’s responses may be affected by the interview context. This tool allows identifying which enumerators’ characteristics (e.g., gender, age, beliefs on women’s rights) affect respondents’ reporting and whether there are heterogeneities across genders and contexts. This tool, Enumerator Characteristics and Reporting Bias, should be administered to the enumerators before enumerators’ training takes place and can be used to assess the need to randomize enumerators, design interventions at the enumerator-level, or control for enumerator characteristics while analyzing the survey data. This data study includes following files. 1. A survey document (including implementation guidelines

    Replication Data for: A Nonparametric Entropy-Based Measure of Mass Political Polarization

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    Political polarization has become an increasingly salient issue worldwide, but systematic examination of the variation and sources of mass polarization across countries is limited by current measurement methods. This work proposes a nonparametric, entropy-based measure of mass political polarization. It exploits the specific structure of ordinal distributions in public opinion data, makes no prior assumptions about the form and spacing of the data, and can still draw reliable measures of issue-based polarization. We demonstrate the theoretical and practical superiority of the measure with analytical comparisons and simulations. We then apply the proposed measure to questions about mass polarization in the US, the relationship between radical parties and polarization in Europe, and cross-country trends in aective and ideological polarization

    Imperfect Cauliflower: An open dataset of imperfect Cauliflower images for training machine vision algorithms for automated recognition and sorting based on produce visual characteristics.

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    Imperfect Cauliflower: An open dataset of imperfect Cauliflower images for training machine vision algorithms for automated recognition and sorting based on produce visual characteristics

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