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Hiller - Vita - full updated version as of 5-25-25

https://liberalarts.temple.edu/sites/liberalarts/files/documents/Hiller%20-%20Vita%20-%20full%20updated%20version%20as%20of%205-25-25.pdf

8 Other publications Google Scholar Metrics (as of May 25, 2025)

Publications | Nora S. Newcombe - Sites

https://sites.temple.edu/newcombe/research/

A nationally recognized expert on cognitive development, Dr. Newcombe’s research has focused on spatial development and the development of episodic and ...

Student Services | Temple University Bulletin

https://bulletin.temple.edu/undergraduate/student-resources/student-services/

The Temple University Career Center is a central resource that builds collaborative relationships among the Temple community and empowers students and alumni through comprehensive career development services, driving successful careers.

la401259r 1. - sites.temple.edu

https://sites.temple.edu/borguet/files/2025/01/hydrophobicity-2013.pdf

The surface of silica and its modi cations, e.g., zeolites and fi kaolinites, have been studied extensively by various spectro-scopic techniques such as Fourier-transform infrared (FTIR) absorption spectroscopy,5 − 11 FTIR di use reectance,12Raman ff fl spectroscopy,13 inelastic neutron scattering,14,15 and nuclear magnetic resonance.16,17To access the response of the silica interface ...

Reducing SSD Read Latency via NAND Flash Program and Erase Suspension

https://cis.temple.edu/~he/publications/Conferences/PEPausing-FAST12.pdf

The implementation of P/E suspension for NAND flash involves minimal modifications to the flash inter-face, i.e., merely the “program suspend/resume” and “erase suspend/resume” commands need to be added in the command set of the flash interface [12]. To support P/E suspension, the control logic inside the flash chip is required to determine the appropriate time to suspend the P/E ...

METABOLITES OF ARACHIDONIC ACID AND THEIR IMPLICATION IN THE ...

https://scholarshare.temple.edu/bitstreams/3fddbf6c-5dff-4f0e-9502-7839beb8c08e/download

metabolites. Retention behaviors of the lipid biomarkers were characterized by application of QSRR analysis utilizing Austin Model 1 mode semi-empirical computations. The retention data of these fatty acids were obtained from an RP-HPLC method utilizing a Symmetry C18column under gradient elution. Molecular descriptors that take into account the polarity; chemical reactivity and hydrophobicity ...

Social Media and Firm Equity Value

https://www.fox.temple.edu/sites/fox/files/social-media-isr.pdf

The reverse feedback from return and risk to the social media metrics is not significant (median p value ranging from 0.08 to 0.29). These results confirm the temporal predictive relationship between social media metrics and firm equity value, providing initial evi-dence for H1.

Curriculum Vitae | Mark A. Pollack - Sites

https://sites.temple.edu/pollack/curriculum-vitae/

Mark A. Pollack and Gregory C. Shaffer. “Regulating Risk in a Global Economy: The United States, the European Union, and Agricultural Biotechnology,” paper prepared for presentation at the Biennial Conference of Europeanists, Chicago, Illinois, 29 March – 2 April 2006. Mark A. Pollack.

QUAKER APPROACHES TO QUEER: GAY AND LESBIAN INCLUSION IN THE LIBERAL ...

https://scholarshare.temple.edu/server/api/core/bitstreams/78112e5f-c14f-4285-a342-1f488040e802/content

8 Liberal Friends relate to and differ from Evangelical and Conservative Friends in their ways of worship and their theology. Liberal Friends and Conservative Friends practice silent “unprogrammed” worship, but have different views on soteriology and the authority of the Bible. In counter-distinction to Conservative Friends, liberal Friends tend to perceive greater authority in truth ...

PSFL: Parallel-Sequential Federated Learning with Convergence Guarantees

https://cis.temple.edu/~jiewu/research/publications/Publication_files/INFOCOM2024_PSFL%20Parallel-Sequential%20Federated%20Learning%20with%20Convergence%20Guarantees.pdf

Abstract—Federated Learning (FL) is a novel distributed learning paradigm which can coordinate multiple clients to jointly train a machine learning model by using their local data samples. Existing FL works can be roughly divided into two categories according to the modes of model training: Parallel FL (PFL) and Sequential FL (SFL). PFL can speed up each round of model training time through ...