University of Rhode Island

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    Predicting the long-term evolution of a barrier spit in a changing climate: A case study in Rhode Island, Napatree Point

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    Shoreline recession poses a substantial threat to coastal communities. This study evaluates the long-term viability of the undeveloped Napatree barrier spit in Rhode Island, which provides critical habitat for both flora and fauna, including endangered species, and protects the small town of Westerly from the direct impact of tropical storms and Nor’easters. While the Napatree shoreline has been morphologically stable in recent decades (1970–present), historical periods of higher storm frequency and intensity had resulted in significant changes, including spit splitting and significant transgression. We use the one-line numerical model ShorelineS to assess long-term changes in the position of the Napatree shoreline. The model is calibrated and validated using 30 years of historical observations and then applied to estimate expected shoreline positions in the near future (approximately 2050), considering projected sea level rise (SLR) and potential changes in wave climate and storm frequency. Despite the past and current stability of the dune system, under projected SLR and changes in wave climate, the barrier is expected to recede, possibly reaching a tipping point in the forthcoming decades when its viability would be threatened. This would increase flood risks to the inland community, including critical infrastructures and residential areas. Results suggest that storm intensification rather than SLR is the primary factor of accelerating shoreline recession—by a factor of 4—compared with SLR-only scenarios

    Usage Statistics: Project COUNTER R5 tr_j1 Report FY2025 - Journal Requests (Controlled) by Title

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    Project COUNTER R5 / 5.1 Report TR_J1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The TR_J1 report is defined as Journal Requests (Controlled). This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI. File for download is Excel spreadsheet generated by Alma Analytics. Results: Total Item Requests - 850,324 Unique Item Requests - 628,58

    Usage Statistics: Project COUNTER R5 tr_j1 Report FY2025 - Journal Requests Controlled) by Platform

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    Project COUNTER R5 / 5.1 Report TR_J1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The TR_J1 report is defined as Journal Requests Controlled). This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI. File for download is Excel spreadsheet generated by Alma Analytics. Results: Total Item Requests - 850,324 Unique Item Requests - 628,58

    Usage Statistics: Project COUNTER R5 tr_b1 Report FY2025 - Book Requests (Controlled) by Platform

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    Project COUNTER R5 / 5.1 Report TR_B1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The TR_B1 report is defined as Book Requests Controlled). This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI. File for download is Excel spreadsheet generated by Alma Analytics. Results: Total Item Requests - 194,197 Unique Title Requests - 60,00

    No Mullahs, No Shah

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    Usage Statistics: Project COUNTER R5 tr_b1 Report FY2025 - Book Requests Controlled) by Title

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    Project COUNTER R5 / 5.1 Report TR_B1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The TR_B1 report is defined as Book Requests Controlled). This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI. File for download is Excel spreadsheet generated by Alma Analytics. Results: Total Item Requests - 194,197 Unique Title Requests - 60,00

    Usage Statistics: Project COUNTER R5 ir_m1 Report FY2025 - Multimedia Item Requests

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    Project COUNTER R5 / 5.1 Report IR_M1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The IR_M1 report is defined as Multimedia Item Requests. This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI. File for download is Excel spreadsheet generated by Alma Analytics. Results: Total Item Requests - 3,35

    Usage Statistics: Project COUNTER R5 dr_d1 Report FY2025 - Database Search and Item Usage

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    Project COUNTER R5 / R5.1 Report DR_D1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The DR_D1 report is defined as Database Search and Item Usage. This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI. File for download is Excel spreadsheet generated by Alma Analytics. Results: Searches Automated - 38,089 Searches Federated - 1,810 Searches Regular - 1,304,882 Total Item Investigations - 933,864 Total Item Requests - 286,91

    Usage Statistics: Project COUNTER R5 pr_p1 Report FY2025 - Platform Usage

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    Project COUNTER R5 / 5.1 Report PR_P1 for the University of Rhode Island for the period from July 1, 2024 - June 30, 2025. The PR_P1 report is defined as Platform Usage. This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI. File for download is Excel spreadsheet generated by Alma Analytics. Results: Searches Platform - 294,352 Total Item Requests - 1,451,061 Unique Item Requests - 1,078,034 Unique Title Requests - 55,77

    Digital literacy for participating in presidential election: A study on Indonesian students

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    Digital literacy is needed during the presidential election. This study aims to determine the level of digital literacy of Indonesian students concerning what they do with social media information in facing the 2024 presidential election. We conducted a survey in which questionnaires were used as a research instrument to measure the four digital competencies: technical skill, information usage, communication, and creation. The questionnaires are sent to four Indonesian public universities. One hundred ninety-seven students from four State Islamic Universities (Universitas Islam Negeri) participated in this study. We used the mean and percentage score for the data analysis. The research result shows that, on average, the students’ levels of digital literacy competence are in the advanced category. The students have acquired the needed digital literacy competence and are ready to face the coming presidential election. However, in the aspects of Creation and Communication competencies do they need to make some improvements

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