The Pandemic EVIDENCE Collaboration Pillar 2: interventions and evidence by Fretheim, A, Onakpoya, I, Bartoszko, J, Jones, M, Gandini, S

Report to the President for year ended June 30, 2022, MIT Medical by Stuopis, Cecilia, Schuetz, Brian

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Search for a new resonance decaying into two spin-0 bosons in a fnal state with two photons and two bottom quarks in proton-proton collisions at √s = 13 TeV by Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Pitters, F. M.

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An in-pixel gain amplifier based event-driven physical unclonable function for CMOS dynamic vision sensors by Wang, Biyin, Zhao, Xiaojin, Zheng, Yue, Chang, Chip-Hong

“…With the operating temperature varying from −40◦C to 120◦C and supply voltage varying from 1.7V to 2.1V, the worst-case reliability is reported to be 96.48% and 97.27%, respectively. …”
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Designing initiatives for vulnerable families : from theory to design in Sydney, Australia by Eastwood, John Graeme, De Souza, Denise E., Shaw, Miranda, Garg, Pankaj, Woolfenden, Susan, Tyler, Ingrid, Kemp, Lynn A.

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Stability of peptide nucleic acid influenced by peptoid-like sidechains : MD simulation study. by Yeo, Sven Hwea Jie.

“…Solvent accessible surface of the modified base-pair experienced spikes in values during the 40ns simulations and solvation shells of the base-pair situated close to APS were disrupted up to 33%. …”
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Integrating quantitative and qualitative methodologies to build a national R&D plan using data envelopment analysis based on R&D stakeholders’ perspectives by Park, Wan, Kim, Sang-Gook

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Upcycling of biomaterials from seafood waste and their applications by Tan, Yun Nian

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Design of electromagnetic wheels for marine engineering and its applications by Liang, Mark Rujie

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SHREC’21: Quantifying shape complexity by Arslan, Mazlum Ferhat, Haridis, Alexandros, Rosin, Paul L., Tari, Sibel, Brassey, Charlotte, Gardiner, James D., Genctav, Asli, Genctav, Murat

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Search for a high-mass dimuon resonance produced in association with b quark jets at 𝑠 = 13 TeV by Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R.

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Understanding non-traditional stroke outcomes that matter - poststroke depression, cognitive impairment, and sleep disturbance by Chan, Lai Gwen

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Looking at the Map, Together: Modeling Treatment Center Location Selection and its Effects on Access to Gene Therapy in Brazil by Wertheimer, Sarah R.

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Feature representation for large scale classification by Yang, Hao

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Android mobile-platform-based image reconstruction for photoacoustic tomography by Hui, Xie, Rajendran, Praveenbalaji, Muhamad Ar Iskandar Zulkifli, Ling, Tong, Pramanik, Manojit

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Why federated learning will do little to overcome the deeply embedded biases in clinical medicine by Sauer, Christopher Martin, Pucher, Gernot, Celi, Leo Anthony

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Investigation of blood pressure regulation schemes by Chai, Chang Yong

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Search for the exotic decay of the Higgs boson into two light pseudoscalars with four photons in the final state in proton-proton collisions at √𝑠 = 13 TeV by Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Frühwirth, R., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Pitters, F. M., Schieck, J., Schöfbeck, R.

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Measurement of the top quark mass using a profile likelihood approach with the lepton + jets final states in proton–proton collisions at √𝑠 = 13 TeV by Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Del Valle, A. E., Hussain, P. S., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Pitters, F. M., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M.

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Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration by Schneiders, Eike, Fourie, Christopher, Celestin, Stanley, Shah, Julie, Jung, Malte

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