Gain pricing and market data from GFI Group, and benefit from their experience in operating markets for cash and derivative products across asset classes.

This is a good first issue (GFI) recommendation dataset created from the GFI-Bot project (https://github.com/osslab-pku/gfi-bot). For more information about the GFI recommendation problem and GFI-Bot, please check our publications:

• Wenxin Xiao, Hao He, Weiwei Xu, Xin Tan, Jinhao Dong, and Minghui Zhou. 2022. Recommending Good First Issues in GitHub OSS Projects. In Proceedings of the 44th International Conference on Software Engineering, ICSE 2022, Pittsburgh, PA, USA, May 21–29, 2022. ACM. https://hehao98.github.io/files/2022-recgfi.pdf
• Hao He, Haonan Su, Wenxin Xiao, Runzhi He, and Minghui Zhou. 2022. GFI-Bot: Automated Good First Issue Recommendation on GitHub. In Proceedings of the 2022 ACM 30th Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022, Singapore, November 14-16, 2022. ACM. https://hehao98.github.io/files/2022-gfibot.pdf

The dataset is a MongoDB dump and needs to be restored to a MongoDB instance before use. This can be done via the official mongorestore tool by running a command like this in the dataset/ folder:

mongorestore --uri={{ your mongodb url }} --gzip

In the gfibot.dataset collection, each document describes the state of an issue at a certain time (either at the time of issue creation or at the time of issue resolution). The resolver_commit_num is the ground truth label (i.e., # of commits the issue resolver has made in the repository before issue resolution, excluding commits for resolving the issue itself; resolver_commit_num = 0 means the resolver is someone completely new to the repository). The remaining fields can be used as features or further analyzed to derive new features.

The gfibot.resolved_issue collection additionally provides information about which GitHub user resolved this issue and in what commit or pull request. This information can be used to study problems like, e.g., personalized good first issue recommendation or newcomer retention mechanisms.

This dataset can be used to evaluate new GFI recommendation approaches. We hope it will be helpful in advancing GFI recommendation research and other future studies on open-source software onboarding.

Blockchain data dashboard: GFi

To understand molecular mechanisms by which reducing Id2 rescues impaired erythropoiesis and hematopoietic progenitor cell development in Gfi-1-/- mice, we compared gene expression in Gfi-1-/-;Id2+/- and Gfi-1-/- BMC using Affymetrix microarray. Total RNA samples from four individual Gfi-1-/- or Gfi-1-/-;Id2+/- mice were arrayed using the GeneChip Mouse Gene 1.0 ST Array (Affymetrix, Santa Clara, CA).

Unforeseen events can significantly affect organizations’ supply chains and disrupt their continuous flow. Therefore, organizations need to develop a response capability that allows them to minimize the negative effect of such events and quickly recover from them, also known as resilience. This research performs a comparative analysis of the influence that risk, vulnerability, and adaptability have on the resilience capability of supply chains in Colombian defense sector organizations before and during the coronavirus outbreak. Based on a literature review, a survey was designed and applied online to collect data from respondents related to the activities of the Colombian Air Force supply chain. For the first wave, data was collected between December 2019 and January 2020. Data for the second wave was collected in August 2020. Results suggest that identifying and managing risks positively impact reducing vulnerability and increasing adaptability. Moreover, by decreasing exposure and improving adaptability, the organization positively influences supply chain resilience capability. The results also indicate that the pandemic positively affected risk and vulnerability awareness. The identification of vulnerabilities had a positive impact on the resilience capacity during the Corona Virus outbreak. This research provides relevant information for the Colombian government on developing public policies and mechanisms of service and support for defense sector organizations to strengthen their resilience capability. Likewise, the study offers valuable information to those organizations interested in improving their resilience capability and that of the sector in which they are involved.

FunCoup network information for gene gfi-1 in Caenorhabditis elegans. Q94246_CAEEL GEI-4 (Four) Interacting protein

An Open Context "types" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This record is part of the "Zooarchaeology of Neolithic Ulucak" data publication.

Protein-Protein, Genetic, and Chemical Interactions for Dahl R (2007):The transcriptional repressor GFI-1 antagonizes PU.1 activity through protein-protein interaction. curated by BioGRID (https://thebiogrid.org); ABSTRACT: Mice lacking the zinc finger transcriptional repressor protein GFI-1 are neutropenic. These mice generate abnormal immature myeloid cells exhibiting characteristics of both macrophages and granulocytes. Furthermore, Gfi-1(-/-) mice are highly susceptible to bacterial infection. Interestingly, Gfi-1(-/-) myeloid cells overexpress target genes of the PU.1 transcription factor such as the macrophage colony-stimulating factor receptor and PU.1 itself. We therefore determined whether GFI-1 modulates the transcriptional activity of PU.1. Our data demonstrate that GFI-1 physically interacts with PU.1, repressing PU.1-dependent transcription. This repression is functionally significant, as GFI-1 blocked PU.1-induced macrophage differentiation of a multipotential hematopoietic progenitor cell line. Retroviral expression of GFI-1 in primary murine hematopoietic progenitors increased granulocyte differentiation at the expense of macrophage differentiation. We interbred Gfi-1(+/-) and PU.1(+/-) mice and observed that heterozygosity at the PU.1 locus partially rescued the Gfi-1(-/-) mixed myeloid lineage phenotype, but failed to restore granulocyte differentiation. Our data demonstrate that GFI-1 represses PU.1 activity and that lack of this repression in Gfi-1(-/-) myeloid cells contributes to the observed mixed lineage phenotype.

A complete list of live websites using the GFI MailEssentials technology, compiled through global website indexing conducted by WebTechSurvey.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

A regulatory circuit that controls myeloid versus B lymphoid cell fate in hematopoietic progenitors has been proposed, in which a network of the transcription factors Egr1/2, Nab, Gfi1 and PU.1 forms the core element. Here we show that a direct link between Gfi1, the transcription factor E2A and its inhibitor Id1 is a critical element of this regulatory circuit. Our data suggest that a certain threshold of Gfi1 is required to gauge E2A activity by adjusting levels of Id1 in multipotent progenitors, which are the first bipotential myeloid/lymphoid-restricted progeny of hematopoietic stem cells. If Gfi1 levels are high, Id1 is repressed enabling E2A to activate a specific set of B lineage genes by binding to regulatory elements for example the IL7 receptor gene. If Gfi1 levels fall below a threshold, Id1 expression increases and renders E2A unable to function, which prevents hematopoietic progenitors from engaging along the B lymphoid lineage.

Gfi1 is a key molecule in hematopoietic lineage development and mutations in GFI1 cause severe congenital neutropenia (SCN). Neutropenia is associated with low bone mass, but the underlying mechanisms are poorly characterized. Using Gfi1 knock-out mice (Gfi1-ko/ko) as SCN model, we studied the relationship between neutropenia and bone mass upon different pathogen load conditions. Our analysis reveals that Gfi1-ko/ko mice kept under strict specific pathogen free (SPF) conditions demonstrate normal bone mass and survival. However, Gfi1-ko/ko mice with early (nonSPF) or late (SPF+nonSPF) pathogen exposure develop low bone mass. Gfi1-ko/ko mice demonstrate a striking rise of systemic inflammatory markers according to elevated pathogen exposure and reduced bone mass. Elevated inflammatory cytokines include for instance Il-1b, Il-6, and Tnf-alpha that regulate osteoclast development. We conclude that low bone mass, due to low neutrophil counts, is caused by the degree of systemic inflammation promoting osteoclastogenesis.

Gold Fields reported $1.94B in EBITDA for its fiscal semester ending in December of 2024. Data for Gold Fields | GFI - Ebitda including historical, tables and charts were last updated by Trading Economics this last September in 2025.

A list of the top 50 GFI Investment Counsel Ltd holdings showing which stocks are owned by GFI Investment Counsel Ltd's hedge fund.

United States NNB: saar: CAP: NCF: Gross Fixed Investment (GFI) data was reported at 435.521 USD bn in Mar 2018. This records an increase from the previous number of 428.452 USD bn for Dec 2017. United States NNB: saar: CAP: NCF: Gross Fixed Investment (GFI) data is updated quarterly, averaging 106.281 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 435.521 USD bn in Mar 2018 and a record low of 9.639 USD bn in Sep 1952. United States NNB: saar: CAP: NCF: Gross Fixed Investment (GFI) data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB076: Integrated Macroeconomic Accounts: Nonfinancial Noncorporate Business.

Philippines Govt Debt: Contingent: Foreign: Assumed GFI Guarantee data was reported at 4,274.000 PHP mn in 2017. This records an increase from the previous number of 4,255.000 PHP mn for 2016. Philippines Govt Debt: Contingent: Foreign: Assumed GFI Guarantee data is updated yearly, averaging 8,625.000 PHP mn from Dec 1993 (Median) to 2017, with 25 observations. The data reached an all-time high of 38,667.000 PHP mn in 1993 and a record low of 3,521.000 PHP mn in 2012. Philippines Govt Debt: Contingent: Foreign: Assumed GFI Guarantee data remains active status in CEIC and is reported by Bureau of the Treasury. The data is categorized under Global Database’s Philippines – Table PH.F011: Debt Outstanding: Annual.

Find details of Gfi Gourmet Foods Internationallc Buyer/importer data in US (United States) with product description, price, shipment date, quantity, imported products list, major us ports name, overseas suppliers/exporters name etc. at sear.co.in.

Protein-Protein, Genetic, and Chemical Interactions for GFI-3 (Caenorhabditis elegans) curated by BioGRID (https://thebiogrid.org); DEFINITION: gfi-3 is also known as apc-5, encoding a distant homolog of the human anaphase promoting complex subunit APC5, but is most closely related to its C. elegans paralog Y66D12A.17; gfi-3(RNAi) animals are generally unable to progress through meiotic divisions; initially they produce reduced numbers of viable embryos mixed with inviable embryos, but then show severe germline maintenance defects and become sterile.

Gold Fields reported $10.91 in PE Price to Earnings for its fiscal semester ending in June of 2025. Data for Gold Fields | GFI - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last September in 2025.

growth factor independent 1 transcriptional repressor Enables DNA-binding transcription repressor activity, RNA polymerase II-specific; enzyme-substrate adaptor activity; and transcription cis-regulatory region binding activity. Involved in several processes, including cellular response to lipopolysaccharide; negative regulation of transcription by RNA polymerase II; and regulation of signal transduction. Located in nuclear body and nuclear matrix. Part of transcription repressor complex. Implicated in acute myeloid leukemia and severe congenital neutropenia 2. Biomarker of leukemia and myelodysplastic syndrome. This gene encodes a nuclear zinc finger protein that functions as a transcriptional repressor. This protein plays a role in diverse developmental contexts, including hematopoiesis and oncogenesis. It functions as part of a complex along with other cofactors to control histone modifications that lead to silencing of the target gene promoters. Mutations in this gene cause autosomal dominant severe congenital neutropenia, and also dominant nonimmune chronic idiopathic neutropenia of adults, which are heterogeneous hematopoietic disorders that cause predispositions to leukemias and infections. Multiple alternatively spliced variants, encoding the same protein, have been identified for this gene. [provided by RefSeq, Jul 2008]