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Motivation is of great importance in the teaching-learning process, because motivated students seek out opportunities and show interest and enthusiasm in carrying out their tasks. The objective of this review is to identify and present the information available in the literature on the status quo of motivation among nursing program entrants. This is a qualitative scoping review study, a type of literature review designed to map out and find evidence to address a specific research objective, following the Joanna Briggs Institute methodology. The objective was outlined using the PCC (Population, Concept, Context) acronym. The protocol was developed and registered on the Open Science Framework (OSF) platform under DOI 10.17605/OSF.IO/EJNGY. The search strategy and database selection were defined by a library and information science professional together with the authors. The search will be carried out in the following databases: Cumulative Index to Nursing and Allied Health Literature, Literatura Latino Americana e do Caribe em Ciências da Saúde, Lilacs Esp, National Library of Medicine (PubMed), ScienceDirect, Scopus, and the Web of Science platform. The researchers will meet to discuss discrepancies and make decisions using a consensus model, and a third researcher will be tasked with independently resolving any conflicts. Data extraction will involve two independent researchers reviewing each article. Documents such as original articles; theoretical studies; experience reports; clinical study articles; case studies; normative, integrative, and systematic reviews; meta-analyses; meta-syntheses; monographs; theses; and dissertations in English, Portuguese, and Spanish from 2017 to 2023 were included. The results will be presented in tabular and/or diagrammatic format, along with a narrative summary.

Procedia computer science CiteScore 2024-2025 - ResearchHelpDesk - Launched in 2009, Procedia Computer Science is an electronic product focusing entirely on publishing high quality conference proceedings. Procedia Computer Science enables fast dissemination so conference delegates can publish their papers in a dedicated online issue on ScienceDirect, which is then made freely available worldwide. Conference proceedings are accepted for publication in Procedia Computer Science based on quality and are therefore required to meet certain criteria, including quality of the conference, relevance to an international audience and covering highly cited or timely topics. Procedia Computer Science will cover proceedings in all topics of Computer Science with the exception of certain workshops in Theoretical Computer Science, as our Electronic Notes in Theoretical Computer Science http://www.elsevier.com/locate/entcs are the primary outlet for these papers. The journal is indexed in Scopus, the largest abstract and citation database of peer-reviewed literature. Copyright information For authors publishing in Procedia Computer Science, accepted manuscript will be governed by CC BY-NC-ND. For further details see our copyright information. What does Procedia Computer Science offer authors and conferences organizers? Procedia Computer Science offers a single, highly recognized platform where conference papers can be hosted and accessed by millions of researchers. Authors then know where to go to keep abreast of the latest developments in their field, and get maximum exposure for their own work. All proceedings appear online, on Science Direct, within 8 weeks of acceptance of the final manuscripts via the conference organizer and are freely available to all users. To ensure discoverability and citability the final online papers are individually metadated, XML versions are optimized for search engines, references are linked, and DOI (Digital Object Identifier) numbers are added. Why should conference organizers choose Procedia Computer Science? Unlike regular printed conference publications, there is no practical limit to the amount of papers a Procedia Computer Science issue can contain and pricing is affordable, clear and transparent, offering organizers a state of the art platform for their conference in a cost effective and sustainable manner. Procedia Computer Science offers immediate access for all, with papers online within 8 weeks of acceptance, and free access providing maximum exposure for individual papers and the related conference. Conference delegates can thus access the papers from anywhere on the web during and post conference. Organizers are credited on the actual issue and are fully responsible for quality control, the review process and the content of individual conference papers. To assist conference organizers in the publication process templates (both Latex and Word) are provided. What is the process for submitting conference proceedings to Procedia Computer Science? Proposals should include a synopsis of why such a Procedia Computer Science issue will have an impact on its community, the (sub) fields covered, and an outline of the related conference (or conferences / satellite events) with links to the conference website and pervious proceedings where possible. Please include a tentative list of the steering committee / program committee, a short description of the conference peer review standards (acceptance rate, reviewer selection, etc) as well as estimates of number of conference delegates and number of papers to be accepted for publication. Proposals should be prepared using the template here Please note that we do not accept proposals from individual authors for Procedia titles. What are the costs associated with Procedia Computer Science? There is an agreed fee, based on the size of the proceedings, which includes online publication on ScienceDirect and free access after acceptance. In addition to the online version there is the possibility to purchase paper copies, CD-ROMs and USB sticks. Moreover, interactive media possibilities such as webcasts and web seminars can be acquired for extra exposure both before and after the conference. Can Procedia Computer Science be sponsored? We are open to discussing sponsoring possibilities at all times. Sponsors can include funding bodies, government agencies and/or industry. Benefits to sponsors include visibility amongst a scientific audience and the opportunity to communicate messages via a peer-reviewed platform. Benefits to authors and conference organizers are the further dissemination of material to an international audience and even more reduced costs to the overall conference budget. What more can Elsevier do to help computer science conference organizers? We are open to discuss even further collaboration, including but not limited to providing global organizational and administrative services, assisting with the setup of new multidisciplinary meetings. Contact your Elsevier Computer Science Publisher for more information. Abstracting and Indexing Conference Proceedings Citation Index Scopus

File Name: Web Page, url: https://www.sciencedirect.com/science/article/pii/S235234091630289X Data in Brief article providing the description of the origin and physical traits of the whole grain (color, length, width, thickness and 100-kernel weight) of this germplasm collection, along with data of total flavonoid and total phenolic contents, oxygen radical absorbance capacity, and total proanthocyanidin contents.

This is the metadata associated with Pavlovic et al. (2023) entitled "Empirical nitrogen and sulfur critical loads of U.S. tree species and their uncertainties with machine learning" (https://www.sciencedirect.com/science/article/pii/S0048969722063513). It is not EPA data and the data and associated metadata is already publicly available on the journal website. This dataset is associated with the following publication: Pavlovic, N., S. Chang, J. Huang, K. Craig, C. Clark, K. Horn, and C. Driscoll. Empirical nitrogen and sulfur critical loads of U.S. tree species and their uncertainties with machine learning. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 857: 1-10, (2022).

Purpose: The relative income hypothesis theorises that one’s earnings relative to others exert a greater influence on subjective wellbeing than absolute income. Understanding the relationship between relative income and mental health could contribute to employee wellbeing. This review aimed to summarise the defining features of relative income in relation to mental health and how it is measured in the literature. In addition, it aimed to explore the relationship between relative income and mental health in those currently employed in the UK. Methods: Nine electronic databases were searched using a pre-defined search strategy: PubMed (including MEDLINE and PubMed Central), PsycINFO, Scopus, Web of Science, Global Health, JSTOR, Business Source Complete (EBSCO), ScienceDirect and Emerald. The protocol was pre-registered on PROSPERO (CRD42023408657). Quantitative and qualitative studies and grey literature, which described the defining features and measurement of relative income and its impact on mental health among UK employees, were included. Results: After screening, 13 studies were included in the review. A conceptualisation of relative income revealed that an income comparison is either researcher-defined using averages or self-assessed based on a person’s perception. Having a lower income than the reference group was commonly associated with diminished wellbeing, though moderating factors (gender, income inequality and composition of reference group) were identified. Conclusions: Having a lower income than the reference group is associated with poorer wellbeing. Implications for practice and policy are considered amidst the UK’s ‘cost of living crisis’ and ongoing pay disputes in various sectors.

---- Description of vibration file format ---- Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".

---- Description of motor current file format ---- Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".

---- Description of rotating speed file format ---- Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’. rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".

Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more detailed information, check our published paper. Title: Vibration, Acoustic, Temperature, and Motor Current Dataset of Rotating Machine Under Varying Operating Conditions for Fault Diagnosis Link: https://www.sciencedirect.com/journal/data-in-brief

The dataset is preprocessed based on the dataset provided by KPGNN (Cao et al., 2021) for social event detection task in HCRC accepted by Knowledge-Based System (https://www.sciencedirect.com/science/article/pii/S0950705123009759).

Dataset Card for Electrical half hourly raw and cleaned datasets for Great Britain from 2008-11-05

  Dataset Summary

A journal paper published in Energy Strategy Reviews details the method to create the data.

https://www.sciencedirect.com/science/article/pii/S2211467X21001280

2021-09-09: Version 6.0.0 was created. Now includes data for the North Sea Link (NSL) interconnector from Great Britain to Norway (https://www.northsealink.com). The previous version (5.0.4)… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/espeni-2.

Data and do-files to replicate: Van Ours, J.C. (2024) No novelty effect but a honeymoon that lasts, Sports Economics Review. Open access: https://www.sciencedirect.com/science/article/pii/S2773161824000065

Input data for Differential NicheNet analysis performed in the liver atlas paper Guilliams et al., Cell 2022 See https://github.com/saeyslab/NicheNet_LiverCellAtlas and https://www.sciencedirect.com/science/article/pii/S0092867421014811

This dataset discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. Important: Datasets are divided into three parts because of storage limitations (Subset1, Subset2, and Subset3).

---- Description of vibration file format ---- Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".

---- Description of motor current file format ---- Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".

---- Description of rotating speed file format ---- Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’. rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".

For more detailed information, check our published paper. Title: Vibration, Acoustic, Temperature, and Motor Current Dataset of Rotating Machine Under Varying Operating Conditions for Fault Diagnosis Link: https://www.sciencedirect.com/journal/data-in-brief

These are datasets of economic sentiments derived from Uk newspapers using a dictionary and support vector machines. For more information on the application refer to :

Rambaccussing, D. and Kwiatkowski, A., 2020. Forecasting with news sentiment: Evidence with UK newspapers. International Journal of Forecasting, 36(4), pp.1501-1516.

https://www.sciencedirect.com/science/article/pii/S0169207020300595

Please refer to the original data article for further data description: Jeřábek & Hynek et al., Collection of datasets with DNS over HTTPS traffic In: Data in Brief Journal ,DOI:10.1016/j.dib.2022.108310

The collection of datasets contains DoH and HTTPS traffic that was captured in a real large ISP network. The data are provided in the form of PCAP files. However, since we needed to anonymize the real captures, we also provided TLS enriched flow data that are generated with opensource ipfixprobe flow exporter. Other than TLS related information is not relevant since the dataset comprises only encrypted TLS traffic. The TLS enriched flow data are provided in the form of CSV files with the following columns:

    Column Name
    Column Description




    DST_IP
    Destination IP address


    SRC_IP
    Source IP address


    BYTES
    The number of transmitted bytes from Source to Destination


    BYTES_REV
    The number of transmitted bytes from Destination to Source


    TIME_FIRST
    Timestamp of the first packet in the flow in format YYYY-MM-DDTHH-MM-SS


    TIME_LAST
    Timestamp of the last packet in the flow in format YYYY-MM-DDTHH-MM-SS


    PACKETS
    The number of packets transmitted from Source to Destination


    PACKETS_REV
    The number of packets transmitted from Destination to Source


    DST_PORT
    Destination port


    SRC_PORT
    Source port


    PROTOCOL
    The number of transport protocol


    TCP_FLAGS
    Logic OR across all TCP flags in the packets transmitted from Source to Destination


    TCP_FLAGS_REV
    Logic OR across all TCP flags in the packets transmitted from Destination to Source


    TLS_ALPN
    The Value of Application Protocol Negotiation Extension sent from Server


    TLS_JA3
    The JA3 fingerprint


    TLS_SNI
    The value of Server Name Indication Extension sent by Client

The DoH resolvers in the dataset can be identified by IP addresses written in doh_resolver_ip.csv file.

The main part of the dataset is located in DoH-Real-World.tar.gz and has the following structure:

. └── data | - Main directory with data └── captured | - Directory with data captured on ISP backbone lines ├── pcap | - ISP backbone PCAPS └── tls-flow-csv | - ISP backbone CSV flow data

Dataset collection statistics:

    Name
    Value




    Total Data Size
    179 GB


    Total Time
    ~10 Days


    Connections
    ~420 M


    Number of unique Client IP addresses
    116,263


    Number of unique Server IP addresses
    9343


    Number of unique DoH Resolver's IP addresses
    142

Please cite the original article:

@article{Jerabek2022, title = {Collection of datasets with DNS over HTTPS traffic}, journal = {Data in Brief}, volume = {42}, pages = {108310}, year = {2022}, issn = {2352-3409}, doi = {https://doi.org/10.1016/j.dib.2022.108310}, url = {https://www.sciencedirect.com/science/article/pii/S2352340922005121}, author = {Kamil Jeřábek and Karel Hynek and Tomáš Čejka and Ondřej Ryšavý} }

The four zip file contains the input files required for GPP estimation as proposed in https://doi.org/10.1016/j.scitotenv.2018.02.314

All the input files are from the year 2020 over the European continent.

Year: 2020

Region: Europe

Temporal Scale: 8 Days

Spatial Resolution: 500 meters

Method: Light-use-efficiency (LUE) approach.

Referred Publication: https://www.sciencedirect.com/science/article/pii/S0048969718307149

https://onlinelibrary.wiley.com/doi/10.1111/gcb.12261

For further information please contact s.bandopadhyay@soton.ac.uk

Data sets associated with The Philadelphia story: Age, race, gender and changing travel trends. https://www.sciencedirect.com/science/article/pii/S0966692317307044

Data and code files for manuscript published in the Journal of Theoretical Biology (https://www.sciencedirect.com/science/article/abs/pii/S0022519320303647)

Data used for manuscript available at https://www.sciencedirect.com/science/article/pii/S1352231023005575.

Includes a 'README' file briefly explaining how to combine this data with BenMAP-CE to reproduce the results. Citation information for this dataset can be found in Data.gov's References section.

This is the output dataset for the research publication "Socio-economic development drives solid waste management performance in cities: A global analysis using machine learning". It features

Metadata info used by R codes

Summary of results for two modelling approaches (machine learning: Conditional random-forest and non-linear regression)

The independent variables dataset analysed here refer to specific indicators of the WABI methodology (https://www.sciencedirect.com/science/article/pii/S0956053X14004905) that generates solid waste management and resource recovery profiles for cities. It was applied here for 40 cities around the world. The data input are available here: 10.5281/zenodo.7570174

Replication package for Berkouwer, Biscaye, Puller, & Wolfram (2022). Disbursing emergency relief through utilities: Evidence from Ghana. Journal of Development Economics. https://www.sciencedirect.com/science/article/pii/S0304387822000086