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Articles 89251 - 89280 of 5206267
Full-Text Articles in Entire DC Network
Intense Solar Radiation Constrains Plant Species Richness In Global Grasslands, Marie Spohn, Carlos Alberto Arnillas, Jonathan D. Bakker, Elizabeth T. Borer, Kari Anne Bråthen, Marc W. Cadotte, Erika I. Hersch-Green, Et Al.
Intense Solar Radiation Constrains Plant Species Richness In Global Grasslands, Marie Spohn, Carlos Alberto Arnillas, Jonathan D. Bakker, Elizabeth T. Borer, Kari Anne Bråthen, Marc W. Cadotte, Erika I. Hersch-Green, Et Al.
Michigan Tech Publications
The search for predictors of plant diversity has challenged scientists for decades. Here we identify intense photosynthetically active radiation (PAR) as a major factor constraining plant species richness in global grasslands. We show that the strength of the negative relationship between species richness and PAR increases with increasing elevation and that species richness is more strongly correlated with intense PAR than with UV-B radiation, climate variables, and atmospheric nitrogen deposition. In addition to species richness, plant biomass was also negatively correlated with PAR at higher elevations, indicating that intense PAR also constrains plant biomass in montane grasslands. Furthermore, we show …
Updated Kalamazoo County Housing Plan 2025, Emily Petz, Val Klomparens, Gerrit Anderson, Lee Adams
Updated Kalamazoo County Housing Plan 2025, Emily Petz, Val Klomparens, Gerrit Anderson, Lee Adams
Reports
A healthy housing continuum provides homes for those in a range of incomes or in different life situations. Kalamazoo County has a shortage of housing units at multiple price points. Low rates of construction, high construction costs, increased demand from a growing population, and housing costs that are increasing faster than wages have contributed to the shortage and affordability issues. This update completed in Spring of 2025 includes new housing assessment and demand numbers to incorporate the impact of the Ford BlueOval Battery Park in Marshall. The demand shows a total of 8,000 units are needed by 2030. If all …
The Heart Of An Educator An Autoethnographic Study Of Homeschool Practices That Reflect Core Udl Principles, Kimberly Clinton
The Heart Of An Educator An Autoethnographic Study Of Homeschool Practices That Reflect Core Udl Principles, Kimberly Clinton
Dissertations
The Universal Design for Learning (UDL) framework was at the heart of this study, which served as a critical lens for examining the instructional design practices embedded in the homeschool environment. Specifically, I examined how the three core tenets of UDL: representation, action and expression, and engagement were reflected within the Clinton Homeschool Instructional Learning Design (CHILD). The aim was to identify how homeschool instruction, as implemented by the researcher, parallels UDL principles in its responsiveness to learner variability, its emphasis on flexible instructional delivery, and its commitment to student-centered engagement. In contrast to the dominant educational paradigm, which often …
2026 February 5 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
2026 February 5 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
Tennessee Climate Office Weekly Drought Summaries
No abstract provided.
Spartan Daily, February 5, 2026, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, February 5, 2026, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2026
Volume 166, Issue 7
Naturalness Of The Translation Of The Quranic Imperative Verses: A Comparative Study, Mohamad Zaka Al Farisi, Tatang Tatang, Mia Nurmala, Shofa Mushtofa Khalid
Naturalness Of The Translation Of The Quranic Imperative Verses: A Comparative Study, Mohamad Zaka Al Farisi, Tatang Tatang, Mia Nurmala, Shofa Mushtofa Khalid
Bahasa dan Seni: Jurnal Bahasa, Sastra, Seni, dan Pengajarannya
The aspects of translation acceptability are not related only to the accuracy and clarity of the translation. They also cover the naturalness of translation. This study aims to reveal the degree of translation naturalness of the Quranic imperative verses. This evaluative study compares the translations of the verses by the Ministry of Religious Affairs of the Republic of Indonesia (MORA) and the one made by Muhammad Thalib (MT). The study used embedded case study research. The findings of the study show that in general, the translations of the verses in the two versions have an acceptable degree of naturalness. However, …
Unh Gallery Of Art Exhibits Ingathering, Rebecca Colby
Unh Gallery Of Art Exhibits Ingathering, Rebecca Colby
Digital Edition
No abstract provided.
Spectator 2026-02-05, Editors Of The Spectator
The Current - Volume 36 Issue 6, Nova Southeastern University
The Current - Volume 36 Issue 6, Nova Southeastern University
Student Newspapers
No abstract provided.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 11, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 11, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 13, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 13, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 14, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 14, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 15, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 15, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 17, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 17, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 18, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 18, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 23, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 23, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 26, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 26, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 28, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 28, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 30, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 30, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 35, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 35, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 36, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 36, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 37, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 37, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 77, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 77, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 77 Lidar, Yiming Yang, Jeremy P. Bos
Wads 3d Object Detection Dataset (Wads-3d) - Sequence 77 Lidar, Yiming Yang, Jeremy P. Bos
WADS-3D
WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.
Institutional Advancement Committee Minutes, Clemson University Board Of Trustees, 2026 February 5, Clemson University Board Of Trustees
Institutional Advancement Committee Minutes, Clemson University Board Of Trustees, 2026 February 5, Clemson University Board Of Trustees
Minutes
No abstract provided.
Agriculture And Natural Resources Committee Minutes, Clemson University Board Of Trustees, 2026 February 5, Clemson University Board Of Trustees
Agriculture And Natural Resources Committee Minutes, Clemson University Board Of Trustees, 2026 February 5, Clemson University Board Of Trustees
Minutes
No abstract provided.
Agriculture And Natural Resources Committee Minutes, Clemson University Board Of Trustees, 2026 February 5, Clemson University Board Of Trustees, Clemson University Board Of Trustees
Agriculture And Natural Resources Committee Minutes, Clemson University Board Of Trustees, 2026 February 5, Clemson University Board Of Trustees, Clemson University Board Of Trustees
Minutes
No abstract provided.
Student Affairs Resources Committee Minutes, Clemson University Board Of Trustees, 2026 February 5, Clemson University Board Of Trustees
Student Affairs Resources Committee Minutes, Clemson University Board Of Trustees, 2026 February 5, Clemson University Board Of Trustees
Minutes
No abstract provided.
Assignment Of Smp And Cmc Vicarages, February 5, 2026, Richard Marrs, Joel Fristche
Assignment Of Smp And Cmc Vicarages, February 5, 2026, Richard Marrs, Joel Fristche
SMP Call Day
Assignment of SMP and CMC Vicarages, February 5, 2026
Standardized Staff Education Project For Medication Adherence, Adebukola Kayode
Standardized Staff Education Project For Medication Adherence, Adebukola Kayode
Walden Dissertations and Doctoral Studies
Psychotropic medication nonadherence is a pervasive issue in psychiatric care and one of the leading contributors to relapse, symptom destabilization, and preventable behavioral‐health crises. At the outpatient psychiatric clinic project site, inconsistent medication-adherence education and the absence of a standardized, evidence‐based approach resulted in variable patient understanding and engagement. The purpose of this doctoral project was to implement and evaluate a structured staff education program to determine its effect on staff knowledge, confidence, and consistency in delivering standardized psychotropic medication-adherence education. I developed the intervention to engage clinical staff through a structured educational session grounded in Knowles’s adult learning theory …