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Strengths and limitations of bioretention sorbent amendments to ...

https://scholarshare.temple.edu/items/36e802b7-016d-45e4-97df-82edfecabb0e

Bioretention is increasingly being employed as a stormwater management tool in urban areas, with the intent of using infiltration to address both water quantity and quality concerns. However, bioretention soil media (BSM) has limited removal capacity for dissolved contaminants; hence, amendments may be justified to improve performance. In this study, the potential of five low-cost sorbents as ...

Mini-Workshop on Software Defined Radio Using the RTL-SDR

https://sites.temple.edu/silage/files/2024/04/Mini-Workshop-On-SDR-Setup-of-SDR.pdf

SDR# is the most commonly used SDR program on Windows. We recommend it as one of the easiest to setup and use with the RTL-SDR.

17-multilevel-page-table-TLB.pptx - Temple University

https://cis.temple.edu/~qzeng/cis3207-spring18/slides/17-multilevel-page-table-TLB.pdf

Multi-level Page Table and TLB Professor Qiang Zeng Spring 2018

Shivayogi V. Hiremath - cph.temple.edu

https://cph.temple.edu/sites/cph/files/node/profile/resume/Shivayogi%20Hiremath%20CV%20July%202023.pdf

University of Pittsburgh, Pittsburgh, USA Post-Doctoral Fellowship in Physical Medicine and Rehabilitation Postdoctoral training in clinical brain computer interfaces. Mentor: Wei Wang

ArrayPipe: Introducing Job-Array Pipeline Parallelism for High ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/m48122-zhao%20final.pdf

ArrayPipe: Introducing Job-Array Pipeline Parallelism for High Throughput Model Exploration Hairui Zhao1, Hongliang Li1,2,∗, Qi Tian1, Jie Wu3, Meng Zhang1, Xiang Li1, Haixiao Xu4

MOTIVATIONAL INFLUENCES ON MEMORY - Sites

https://sites.temple.edu/adaptivememorylab/files/2019/01/Motivational-influences-on-memory.pdf

ABSTRACT Motivation significantly influences learning and memory. While a long history of research has focused on simple forms of associative learning, such as Pavlovian conditioning, recent research is beginning to character-ize how motivation influences episodic memory. In this chapter we synthesize findings across behavioral, cognitive, and educational neuro-science to characterize ...

H-1B vs. J-1 Exchange Visitor | International Student and Scholar ...

https://global.temple.edu/isss/faculty-staff-and-researchers/j-1-research-scholars-professor/prospective-j-1-exchange-visitors/h-1b-vs-j-1-status

The J-1 Exchange Visitor Program [Research Scholar or Professor categories] should be used to bring in individuals who will "promote interchange of persons, knowledge, and skills, and the interchange of developments in the field of education, the arts and sciences." While it is not explicitly stated in the regulations, it is understood that the only way there can be an "interchange of ...

14-non-contiguous-memory-allocation.pptx - Temple University

https://cis.temple.edu/~qzeng/cis3207-spring18/slides/14-non-contiguous-memory-allocation.pdf

Non-contiguous allocation: Each process comprises multiple memory regions scattered in the physical memory.

In this module, you will - College of Education and Human Development

https://education.temple.edu/sites/education/files/documents/01CAPS.pdf

The Pennsylvania Department of Education (PDE) does not discriminate in its educational programs, activities, or employment practices, based on race, color, national origin, sex, sexual orientation, disability, age, religion, ancestry, union membership, or any other legally protected category. Announcement of this policy is in accordance with State law including the Pennsylvania Human ...

Online Federated Learning on Distributed Unknown Data Using UAVs

https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICDE2024_Online_Federated_Learning_on_Distributed_Unknown_Data_Using_UAVs.pdf

Abstract—Along with the advance of low-altitude economy, a variety of applications based on Unmanned Aerial Vehicles (UAVs) have been developed to accomplish diverse tasks. In this paper, we focus on the scenario of multiple UAVs performing Federated Learning (FL) tasks. Specifically, a group of UAVs is scheduled to repeatedly visit some Points of Interest (PoIs), collect the data produced ...