United States - Total Revenue for Other Business Service Centers Including Copy Shops, All Establishments, Employer Firms was 7836.00000 Mil. of $ in January of 2021, according to the United States Federal Reserve. Historically, United States - Total Revenue for Other Business Service Centers Including Copy Shops, All Establishments, Employer Firms reached a record high of 8219.00000 in January of 2007 and a record low of 5774.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Revenue for Other Business Service Centers Including Copy Shops, All Establishments, Employer Firms - last updated from the United States Federal Reserve on November of 2025.

In silico methods for screening hazardous chemicals are necessary for sound management. Persistent, bioaccumulative, mobile, and toxic (PBMT) chemicals persist in the environment and have high mobility in aquatic environments, posing risks to human and ecological health. However, lack of experimental data for the vast number of chemicals hinders identification of PBMT chemicals. Through an extensive search of measured chemical mobility data, as well as persistent, bioaccumulative, and toxic (PBT) chemical inventories, this study constructed comprehensive data sets on PBMT chemicals. To address the limited volume of the PBMT chemical data set, a transfer learning (TL) framework based on graph attention network (GAT) architecture was developed to construct models for screening PBMT chemicals, designating the PBT chemical inventories as source domains and the PBMT chemical data set as target domains. A weighted loss (LW) function was proposed and proved to mitigate the negative impact of imbalanced data on the model performance. Results indicate the TL-GAT models outperformed GAT models, along with large coverage of applicability domains and interpretability. The constructed models were employed to identify PBMT chemicals from inventories consisting of about 1 × 106 chemicals. The developed TL-GAT framework with the LW function holds broad applicability across diverse tasks, especially those involving small and imbalanced data sets.

Assessing chemical environmental impacts is critical but challenging due to the time-consuming nature of experimental testing. Graph neural networks (GNNs) support superior prediction performance and mechanistic interpretation of (eco-)toxicity data, but face the risk of overfitting on the typically small experimental data sets. In contrast to purely data-driven approaches, we propose a mechanism-guided transfer learning strategy that is highly efficient and provides key insights into the underlying drivers of (eco-)toxicity. By leveraging the mechanistic link between baseline toxicity and toxicity toward nitrifiers, we pretrained a GNN on lipophilicity data (log P) and subsequently fine-tuned it on the limited data set of toxicity toward nitrifiers, achieving prediction performance comparable with pretraining on much larger but mechanistically less relevant data sets. Additionally, we enhanced GNN interpretability by adjusting multihead attentions after convolutional layers to identify key substructures, and quantified their contributions using a Shapley Value method adapted for graph-structured data with improved computational efficiency. The highlighted substructures aligned well with and effectively distinguished known structural alerts for baseline toxicity and specific modes of toxic action in nitrifiers. The proposed strategy will allow uncovering new structural alerts in other (eco)toxicity data, and thus foster new mechanistic insights to support chemical risk assessment and safe-by-design principles.

We provide an updated version of the Microsoft Academic Knowledge Graph (MAKG.org).

The MAKG is a large RDF knowledge graph with over eight billion triples containing information about scientific publications and related entities, such as authors, institutions, journals, and fields of study.

Number of instances:

Papers: 238,670,900
Papers with URL: 224,325,750
Papers with abstract: 139,227,097
Authors: 243,042,675 / 151,355,324 after autor name disambiguation (both included)
Affiliations: 25,767
Journals: 48,942
Conferences: 4,468
Conference Instances: 16,142
Original fields of Study: 740,460

The provided data is based on the MAG data as of 2020-06-19.

Besides the MAKG core data, also the owl:sameAs-links to Wikidata were created.

More information can be found at https://makg.org/ and in the papers

SWJ'21 submission.

ISWC'19 paper The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data (author copy available here).

If you use the data set, please cite it as follows (see also in DBLP):

Michael Färber: "The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data". Proceedings of the 18th International Semantic Web Conference (ISWC'19). Auckland, New Zealand, 2019, pp. 113-129.

@inproceedings{DBLP:conf/semweb/Farber19, author = "{Michael F{"{a}}rber}", title = "{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with 8 Billion Triples of Scholarly Data}", booktitle = "{Proceedings of the 18th International Semantic Web Conference}", series = "{ISWC'19}", location = "{Auckland, New Zealand}", pages = {113--129}, year = {2019}, url = {https://doi.org/10.1007/978-3-030-30796-7_8}, doi = {10.1007/978-3-030-30796-7_8} }

Stock Price Time Series for AstroNova Inc. AstroNova, Inc. designs, develops, manufactures, and distributes specialty printers, and data acquisition and analysis systems in the United States, Europe, Canada, Asia, Central and South America, and internationally. The company offers color label tabletop printers and light commercial label printers, direct-to-package printers, high-volume presses, specialty original equipment manufacturer printing systems, label printers, envelope and packaging printing, related processing and handling equipment, data acquisition recorders, as well as label, and tag and other supplies, including ink, toner, and thermal transfer ribbons under the QuickLabel, TrojanLabel, GetLabels, Astro Machine, and MTEX brands; and provides on-site and remote service, spare parts, and various service contracts; training and support services; and develops and licenses software programs to design and manage labels, print images, manage and operate printers. It also provides airborne printer products, such as ToughWriter series used in the flight decks of military transport, commercial transport, and business aircraft to print hard copies of data; ToughSwitch, an ethernet switches to connect multiple computers or ethernet devices; TMX and TMX-200, a high-speed data acquisition systems for applications requiring high channel counts and acquisition rates; Daxus DXS-100, a distributed data acquisition platform; SmartCorder DDX-100, a portable all-in-one data acquisition system; and Everest EV-5000 and RC-300 digital strip chart recording systems for aerospace and defense applications. In addition, the company offers networking solutions; aerospace products comprising flight deck printing solutions, networking hardware, and specialized aerospace-grade thermal paper; and data acquisition systems. The company was formerly known as Astro-Med, Inc. and changed its name to AstroNova, Inc. in May 2016. AstroNova, Inc. was incorporated in 1969 and is headquartered in West Warwick, Rhode Island.

Change-In-Other-Working-Capital Time Series for NetApp Inc. NetApp, Inc. provides a range of enterprise software, systems, and services that customers use to transform their data infrastructures in the United States, Canada, Latin America, Europe, the Middle East, Africa, and the Asia Pacific. It operates through two segments, Hybrid Cloud and Public Cloud. The company offers data management software, such as NetApp ONTAP, ONTAP One, NetApp Snapshot, NetApp SnapCenter Backup Management, NetApp SnapMirror Data Replication, and NetApp SnapLock Data Compliance; and storage infrastructure solutions, including NetApp All-Flash FAS (AFF A-Series), NetApp All-Flash FAS with capacity flash (AFF C-Series), NetApp All-Flash SAN Array (ASA A-Series & C-Series), NetApp Fabric Attached Storage (FAS), NetApp E/EF series, and NetApp StorageGRID. It also provides cloud storage services comprising NetApp Cloud Volumes ONTAP, Azure NetApp Files, Amazon FSx for NetApp ONTAP, and Google Cloud NetApp Volumes, as well as NetApp BlueXP, BlueXP Copy and Sync, BlueXP Backup and Recovery, BlueXP Classification, and BlueXP Ransomware Protection. In addition, the company offers operational services, such as NetApp Data Infrastructure Insights and Instaclustr; and professional and support services offerings include storage-as-a-service (STaaS), strategic consulting, professional, managed, and support services, as well as assessment, design, implementation, migration, and proactive support services to help customers optimize the performance and efficiency of their on-premises and hybrid multicloud storage environments. It serves various industries comprising energy, financial services, government, technology, internet, life sciences, healthcare services, manufacturing, media, entertainment, animation, video postproduction, and telecommunications through a direct sales force and an ecosystem of partners, including the leading cloud providers. NetApp, Inc. was incorporated in 1992 and is headquartered in San Jose, California.

Categorical scatterplots with R for biologists: a step-by-step guide

Benjamin Petre1, Aurore Coince2, Sophien Kamoun1

1 The Sainsbury Laboratory, Norwich, UK; 2 Earlham Institute, Norwich, UK

Weissgerber and colleagues (2015) recently stated that ‘as scientists, we urgently need to change our practices for presenting continuous data in small sample size studies’. They called for more scatterplot and boxplot representations in scientific papers, which ‘allow readers to critically evaluate continuous data’ (Weissgerber et al., 2015). In the Kamoun Lab at The Sainsbury Laboratory, we recently implemented a protocol to generate categorical scatterplots (Petre et al., 2016; Dagdas et al., 2016). Here we describe the three steps of this protocol: 1) formatting of the data set in a .csv file, 2) execution of the R script to generate the graph, and 3) export of the graph as a .pdf file.

Protocol

• Step 1: format the data set as a .csv file. Store the data in a three-column excel file as shown in Powerpoint slide. The first column ‘Replicate’ indicates the biological replicates. In the example, the month and year during which the replicate was performed is indicated. The second column ‘Condition’ indicates the conditions of the experiment (in the example, a wild type and two mutants called A and B). The third column ‘Value’ contains continuous values. Save the Excel file as a .csv file (File -> Save as -> in ‘File Format’, select .csv). This .csv file is the input file to import in R.

• Step 2: execute the R script (see Notes 1 and 2). Copy the script shown in Powerpoint slide and paste it in the R console. Execute the script. In the dialog box, select the input .csv file from step 1. The categorical scatterplot will appear in a separate window. Dots represent the values for each sample; colors indicate replicates. Boxplots are superimposed; black dots indicate outliers.

• Step 3: save the graph as a .pdf file. Shape the window at your convenience and save the graph as a .pdf file (File -> Save as). See Powerpoint slide for an example.

Notes

• Note 1: install the ggplot2 package. The R script requires the package ‘ggplot2’ to be installed. To install it, Packages & Data -> Package Installer -> enter ‘ggplot2’ in the Package Search space and click on ‘Get List’. Select ‘ggplot2’ in the Package column and click on ‘Install Selected’. Install all dependencies as well.

• Note 2: use a log scale for the y-axis. To use a log scale for the y-axis of the graph, use the command line below in place of command line #7 in the script.

7 Display the graph in a separate window. Dot colors indicate

replicates

graph + geom_boxplot(outlier.colour='black', colour='black') + geom_jitter(aes(col=Replicate)) + scale_y_log10() + theme_bw()

References

Dagdas YF, Belhaj K, Maqbool A, Chaparro-Garcia A, Pandey P, Petre B, et al. (2016) An effector of the Irish potato famine pathogen antagonizes a host autophagy cargo receptor. eLife 5:e10856.

Petre B, Saunders DGO, Sklenar J, Lorrain C, Krasileva KV, Win J, et al. (2016) Heterologous Expression Screens in Nicotiana benthamiana Identify a Candidate Effector of the Wheat Yellow Rust Pathogen that Associates with Processing Bodies. PLoS ONE 11(2):e0149035

Weissgerber TL, Milic NM, Winham SJ, Garovic VD (2015) Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm. PLoS Biol 13(4):e1002128

https://cran.r-project.org/

http://ggplot2.org/

United States - Capital transfer receipts and other credits was 16.00000 Mil. of $ in April of 2025, according to the United States Federal Reserve. Historically, United States - Capital transfer receipts and other credits reached a record high of 19161.00000 in July of 2017 and a record low of 0.00000 in January of 2008. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Capital transfer receipts and other credits - last updated from the United States Federal Reserve on November of 2025.

United States - Capital transfer receipts and other credits was 13004.00000 Mil. of $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Capital transfer receipts and other credits reached a record high of 19200.00000 in January of 2017 and a record low of 7.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Capital transfer receipts and other credits - last updated from the United States Federal Reserve on November of 2025.

Other-Stockholder-Equity Time Series for Fuyao Glass Industry Group Co Ltd Class A. Fuyao Glass Industry Group Co., Ltd., together with its subsidiaries, engages in the provision of safety glass solutions and automotive accessories for various transportation vehicles in China and internationally. The company designs, manufactures, sells, and services automotive float glass, automotive glass, locomotive glass, motorcycle glass, luggage racks, and window accessories. Its glass products include panoramic skylight glass, dimmable glass, heads-up display glass, ultra-isolated lightweight ultra-thin glass, coated heated glass, and tempered laminated glass, as well as glass with networked antennas. The company is also involved in property leasing; manufacture of machinery; exploitation and sale of minerals; production and sale of mold, automotive parts, fiber products, plastic products, automotive decoration, and refined aluminums; installation of automotive glass accessories; and technology transfer, technical services, and technology promotion. In addition, it offers warehousing and automotive glass logistics services. The company was formerly known as Fujian Yaohua Glass Industry Group Co., Ltd. and changed its name to Fuyao Glass Industry Group Co., Ltd. in June 1992. Fuyao Glass Industry Group Co., Ltd. was founded in 1987 and is headquartered in Fuqing, China.

United States - Government current transfer receipts: from persons: State and local: Other was 85.30000 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Government current transfer receipts: from persons: State and local: Other reached a record high of 85.30000 in January of 2023 and a record low of 0.12600 in January of 1959. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Government current transfer receipts: from persons: State and local: Other - last updated from the United States Federal Reserve on October of 2025.

United States - Producer Price Index by Industry: Periodical Publishers: Periodicals, Subscriptions and Single Copy Sales was 104.40200 Index Dec 2014=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Periodical Publishers: Periodicals, Subscriptions and Single Copy Sales reached a record high of 112.42700 in February of 2022 and a record low of 100.00000 in January of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Periodical Publishers: Periodicals, Subscriptions and Single Copy Sales - last updated from the United States Federal Reserve on November of 2025.

United States - Capital transfer receipts and other credits was 11300.00000 Mil. of $ in October of 2024, according to the United States Federal Reserve. Historically, United States - Capital transfer receipts and other credits reached a record high of 19161.00000 in July of 2017 and a record low of 0.00000 in January of 2008. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Capital transfer receipts and other credits - last updated from the United States Federal Reserve on October of 2025.

United States - Government current transfer payments: Other current transfer payments to the rest of the world (net) was 87.58100 Bil. of $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Government current transfer payments: Other current transfer payments to the rest of the world (net) reached a record high of 93.51700 in January of 2022 and a record low of -25.62500 in January of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Government current transfer payments: Other current transfer payments to the rest of the world (net) - last updated from the United States Federal Reserve on October of 2025.

United States - State and Local Governments; Other Current Transfer Received, Transactions was 1166483.00000 Mil. of $ in January of 2024, according to the United States Federal Reserve. Historically, United States - State and Local Governments; Other Current Transfer Received, Transactions reached a record high of 1274468.00000 in January of 2021 and a record low of 1094.00000 in January of 1946. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - State and Local Governments; Other Current Transfer Received, Transactions - last updated from the United States Federal Reserve on December of 2025.

Total-Other-Income-Expense-Net Time Series for Brighthouse Financial Inc. Brighthouse Financial, Inc. provides annuity and life insurance products in the United States. The company operates through Annuities, Life, and Run-off segments. The Annuities segment offers variable, fixed, index-linked, and income annuities for contract holders' needs for protected wealth accumulation on a tax-deferred basis, wealth transfer, and income security. The Life segment provides term, universal, whole, and variable life products for policyholders' needs for financial security and protected wealth transfer. The Run-off segment manages universal life with secondary guarantees, structured settlements, pension risk transfer contracts, certain company-owned life insurance policies, and funding agreements. Brighthouse Financial, Inc. was founded in 1863 and is headquartered in Charlotte, North Carolina.

United States - Personal current transfer receipts: Other current transfer receipts, from business (net) was 132.98500 Bil. of $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Personal current transfer receipts: Other current transfer receipts, from business (net) reached a record high of 132.98500 in January of 2024 and a record low of 0.25700 in January of 1938. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Personal current transfer receipts: Other current transfer receipts, from business (net) - last updated from the United States Federal Reserve on December of 2025.

Goodwill-and-Other-Intagible-Assets Time Series for SolarWinds Corp. SolarWinds Corporation provides information technology (IT) management software products in the United States and internationally. The company provides a suite of network management software that provides real-time visibility into network utilization and bandwidth, as well as the ability to detect, diagnose, and resolve network performance problems; and a suite of infrastructure management products, which monitors and analyzes the performance of applications and their supporting infrastructure, including servers, physical, virtual and cloud infrastructure, storage, and databases. It also provides automated network configuration, log and event management, security information and event management, access rights management, identity monitoring, server configuration monitoring and patching, and secure gateway and file transfer products; a suite of application performance management software that enables visibility into log data, cloud infrastructure metrics, applications, tracing, and digital experiences; and service management software that offers ITIL-compliant service desk solutions for various companies. In addition, the company offers a suite of database performance management software that monitors, analyzes, diagnoses, and optimizes database performance and operations for the Microsoft data platform, as well as other database management system platforms; traditional, open-source, and cloud-native databases that are self-hosted, cloud-hosted or in hybrid models. It markets and sells its products directly to network and systems engineers, database administrators, storage administrators, DevOps, SecOps, and service desk professionals. The company was formerly known as SolarWinds Parent, Inc. and changed its name to SolarWinds Corporation in May 2018. SolarWinds Corporation was founded in 1999 and is headquartered in Austin, Texas.

Time series data for the statistic Average per capita transfer - All Labor Market -rural and country Lebanon.

Total-Other-Income-Expense-Net Time Series for SolarWinds Corp. SolarWinds Corporation provides information technology (IT) management software products in the United States and internationally. The company provides a suite of network management software that provides real-time visibility into network utilization and bandwidth, as well as the ability to detect, diagnose, and resolve network performance problems; and a suite of infrastructure management products, which monitors and analyzes the performance of applications and their supporting infrastructure, including servers, physical, virtual and cloud infrastructure, storage, and databases. It also provides automated network configuration, log and event management, security information and event management, access rights management, identity monitoring, server configuration monitoring and patching, and secure gateway and file transfer products; a suite of application performance management software that enables visibility into log data, cloud infrastructure metrics, applications, tracing, and digital experiences; and service management software that offers ITIL-compliant service desk solutions for various companies. In addition, the company offers a suite of database performance management software that monitors, analyzes, diagnoses, and optimizes database performance and operations for the Microsoft data platform, as well as other database management system platforms; traditional, open-source, and cloud-native databases that are self-hosted, cloud-hosted or in hybrid models. It markets and sells its products directly to network and systems engineers, database administrators, storage administrators, DevOps, SecOps, and service desk professionals. The company was formerly known as SolarWinds Parent, Inc. and changed its name to SolarWinds Corporation in May 2018. SolarWinds Corporation was founded in 1999 and is headquartered in Austin, Texas.