807 research outputs found
Pulmonary and extrapulmonary acute respiratory distress syndrome are different.
No full textAcute respiratory distress syndrome (ARDS) can be derived from two pathogeneticpathways: a direct insult on lung cells (pulmonary ARDS (ARDSp)) or indirectly(extrapulmonary ARDS (ARDSexp)). This review reports and discusses differences inbiochemical activation, histology, morphological aspects, respiratory mechanicsand response to different ventilatory strategies between ARDSp and ARDSexp. InARDSp the direct insult primarily affects the alveolar epithelium with a localalveolar inflammatory response while in ARDSexp the indirect insult affects thevascular endothelium by inflammatory mediators through the bloodstream.Radiological pattern in ARDSp is characterised by a prevalent alveolarconsolidation while the ARDSexp by a prevalent ground-glass opacification. InARDSp the lung elastance, while in ARDSexp the chest wall and intra-abdominalchest elastance are increased. The effects of positive end-expiratory pressure,recruitment manoeuvres and prone position are clearly greater in ARDSexp.Although these two types of acute respiratory distress syndrome have differentpathogenic pathways, morphological aspects, respiratory mechanics, and different response to ventilatory strategies, at the present, is still not clear, if thisdistinction can really ameliorate the outcome
Four Perspectives Analysis of CSV in Nestlé
No full textThese years, corporations are being urged to engage proactively in resolving social issues as members of the international community. In 2015, all 193 member countries of the United Nations agreed to adopt the Sustainable Development Goals（ SDGs） as international goals for realizing a sustainable society and corporations are being called on to exercise creativity and innovation to achieve those goals. SDGs has become a strategic keyword for most corporations.
On the other hand, since Porter & Kramer announced the concept of Creating Shared Value （CSV） in 2011, CSV has been drawing more attention than Corporate Social Responsibility （CSR） in the business world. Porter and Kramer argued that shared value is not social responsibility, philanthropy or even sustainability, but a new way to achieve economic success and CSV involves creating economic value in a way that also creates value for society by addressing its needs and challenges. The increasing importance of CSV means that companies must consider multistakeholder interests as well as the social, political, economic and environmental impacts of their actions. Also, according to the fifth revised version of Japan Business Federationʼs （Keidanren, 2017） “Charter of Corporate Behavior: For the Realization of a Sustainable Society”, the role of a corporation is to take the lead in the realization of a sustainable society by creating added value that will benefit society and generating employment through autonomous and responsible behavior on the basis of fair and free competition.
In this paper, the author will explore CSV activities of Nestlé regarding SDGs based on four perspectives analysis. Nestlé is well-known as one of the leading companies that incorporates CSV into their businesses and has been quite successful since 2006. The author will discuss how Nestlé has created its CSV through business activities and how it contributes to the SDGs through four perspectives analysis.20論文Articl
OpenAlex Author Name Disambiguation V3 Initial Clusters
No full textAuthor name disambiguation V3 initial clusters for the OpenAlex dataset. See https://openalex.org
There are 633803287 rows, split into 4 CSV (comma-delimited) files (with headers).
The CSV files have two columns: "work_author_id" and "author_id"
"work_author_id": An OpenAlex Work ID and an author sequence number, joined with an underscore ("_")
"author_id": An OpenAlex Author ID, representing a unique author in OpenAle
〈Articles〉The reorganization of the concepts of CSR/CSV, the review of their relationships, and the degree of awareness of CSV and the actual efforts in Japanese companies
No full text[概要]近年，多くの研究者が CSV に関する研究を行い，また多くの経営者や実務家が CSVの有用性を唱えている。また，CSR と CSV の概念，およびこれら概念の関係性についても数多く議論がなされてきており，CSV は CSR の延長線上にあるものだとか，それに取って代わるものであるといった主張も存在する。しかし，CSV なるものは果たして本当にそのようなものなのであろうか。本稿では改めてこの２つの概念を精査した上で，その関係性について整理・見直しを行う。さらに，CSV の本質や意義，およびその必要性に関しても若干の考察を加えることとしたい。
[Abstract] In recent years, many researchers have been conducting the research on CSV, and many managers and practitioners have been advocating the usefulness of CSV. In addition, numerous discussions have been held on the concepts of CSR and CSV, and the relationship between these concepts. There are also claims such as CSV is an extension of CSR or is a replacement for it. But is CSV really such a thing ? In this paper, the author reexamined the two concepts, and then organizes and reviews the relationship between them. Furthermore, the author tried to add some considerations to the nature and significance of CSV and its necessity.application/pdfdepartmental bulletin pape
COCI CSV dataset of all the citation data
No full textThis dataset contains all the citation data (in CSV format) included in COCI, released on 23 January 2023. In particular, each line of the CSV file defines a citation, and includes the following information:
[field "oci"] the Open Citation Identifier (OCI) for the citation;
[field "citing"] the DOI of the citing entity;
[field "cited"] the DOI of the cited entity;
[field "creation"] the creation date of the citation (i.e. the publication date of the citing entity);
[field "timespan"] the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);
[field "journal_sc"] it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);
[field "author_sc"] it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).
This version of the dataset contains:
1,463,920,523 citations;
77,045,952 bibliographic resources.
The size of the zipped archive is 37.5 GB, while the size of the unzipped CSV file is 238.5 GB.
Additional information about COCI can be found at the official webpage.
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POCI CSV dataset of all the citation data
No full textThis dataset contains all the citation data (in CSV format) included in POCI, released on 27 December 2022. In particular, each line of the CSV file defines a citation, and includes the following information:
[field "oci"] the Open Citation Identifier (OCI) for the citation;
[field "citing"] the PMID of the citing entity;
[field "cited"] the PMID of the cited entity;
[field "creation"] the creation date of the citation (i.e. the publication date of the citing entity);
[field "timespan"] the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);
[field "journal_sc"] it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);
[field "author_sc"] it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).
This version of the dataset contains:
717,654,703 citations;
26,024,862 bibliographic resources.
The size of the zipped archive is 9.6 GB, while the size of the unzipped CSV file is 50 GB. Additional information about POCI at official webpage.</p
OpenCitations Index CSV dataset of all the citation data
No full textThis dataset contains all the citation data (in CSV format) included in the OpenCitation Index (https://opencitations.net/index), released on November 29, 2023. In particular, each line of the CSV file defines a citation, and includes the following information:[field "oci"] the Open Citation Identifier (OCI) for the citation;[field "citing"] the OMID of the citing entity;[field "cited"] the OMID of the cited entity;[field "creation"] the creation date of the citation (i.e. the publication date of the citing entity);[field "timespan"] the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);[field "journal_sc"] it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);[field "author_sc"] it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).Note: the information for each citation is sourced from OpenCitations Meta (https://opencitations.net/meta), a database that stores and delivers bibliographic metadata for all bibliographic resources included in the OpenCitations Index. The data provided in this dump is therefore based on the state of OpenCitations Meta at the time this collection was generated.This version of the dataset contains:1,975,552,846 citations;89,920,081 bibliographic resources.The size of the zipped archive is 26.8 GB, while the size of the unzipped CSV file is 171 GB.</p
DOCI CSV dataset of all the citation data
No full textThis dataset contains all the citation data (in CSV format) included in DOCI, released on 13 December 2022. In particular, each line of the CSV file defines a citation, and includes the following information:
[field "oci"] the Open Citation Identifier (OCI) for the citation;
[field "citing"] the DOI of the citing entity;
[field "cited"] the DOI of the cited entity;
[field "creation"] the creation date of the citation (i.e. the publication date of the citing entity);
[field "timespan"] the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);
[field "journal_sc"] it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);
[field "author_sc"] it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).
This version of the dataset contains:
169,822,752 citations;
1,753,860 bibliographic resources.
The size of the zipped archive is 2.47 GB, while the size of the unzipped CSV file is 19.36 GB. Additional information about DOCI at official webpage.</p
CSV REVOLUTION OR EVOLUTION OF THE CSR CONCEPT
No full textPurpose: The concept of value is not limited to the financial criterion alone. Value in modern economics is gaining prominence as a multifaceted concept because of the possibility of interpreting it from the customers' point of view. In order to meet market expectations of the demand side, the concept of value co-creation is evolving. The aim of the article is to indicate the systemic differences between CSR and CSV, paying particular attention to the aspect of considering the concept of value. As an example of good practice, the author chose to present the activities of a company implementing a CSV strategy. Design/methodology/approach: Businesses are learning from their mistakes and, abandoning unfair greenwashing practices, are choosing to pursue goals that fit into the concept of Shared Value Creation (Porter, Kramer, 2011). Based on a case study, this article will present the evolution of the CSV concept and the effects of its application in business practice. The activities carried out by the 'Inne Beczki' brewery, were classified as implementation of the concept of creating shared value. Research metods is critical review (comparison of CSR and CSV) and case study based on 'Inne Beczki' brewery. Findings: Creating Shared Value is an opportunity for smaller businesses to provide relational support and influence improved social wellbeing without having to sacrifice the financial benefits of the business. The example presented here is evidence of the CSV strategy in the market space. Thus, through this work it is possible to grasp the differences, in the context of the concept of value, between CSR and CSV. Research limitations/implications: In line with the case study approach, the author focused on one company that operates in a specific segment (FMCG) and in a specific territorial area (Polish market). Originality/value: The unique value of this article is presenting the concept of Creating Shared Value, which is not often described with an example from the business space. The author’s aim is to present, by means of a case study, actions initiated by a business which, by carrying out an action for a shelter, became part of the concept of creating shared value. In addition, by releasing a limited series of bottles, it increased public awareness of the problem of animal homelessness, as evidenced by the increased adoption of the animals presented on the labels. Due to the greater popularity of CSR, all activities of companies that merely have the appearance of additional pro-social activity are incorrectly referred to as CSR. By making a comparison and presenting a concrete example, the author shows that the topic of segmenting activities and attributing them to more specific categories needs to be deepened and can be a direction for future research. Social implications: The author believes that this article will influence the popularisation of similar business practices. She sees the presented case study as an example of good practice and the realisation of some of the programme assumptions of the CSV concept
GenImage
No full textYou can find an easy to use download script here:
https://www.unbiased-genimage.org
This is an easy to use download of the GenImage dataset for AI-generated image detection. We provide this download, since the original GenImage download at Baidu is hard to use from countries outside of Asia.
GenImage:
https://genimage-dataset.github.io/
The dataset corresponds to our paper "Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets"
https://www.unbiased-genimage.org
We added a metadata CSV which contains additional information to the original GenImage download, such as JPEG quality factor or content class ID.
We removed 17 corrupted files from the original download, as listed in corrupted_files.txt
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