Search for Higgs boson pairs decaying to WW*WW*, WW*ττ, and ττττ 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., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Pitters, F. M., Schieck, J., Schöfbeck, R., Schwarz, D.

“…Abstract The results of a search for Higgs boson pair (HH) production in the WW*WW*, WW*ττ, and ττττ decay modes are presented. The search uses 138 fb−1 of proton-proton collision data recorded by the CMS experiment at the LHC at a center-of-mass energy of 13 TeV from 2016 to 2018. …”
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Search for resonant and nonresonant production of pairs of dijet resonances 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., Schieck, J.

“…Results are presented separately for the case where the four jet production proceeds via an intermediate resonant state and for nonresonant production. The search uses a data sample corresponding to an integrated luminosity of 138 fb−1 collected by the CMS detector in proton-proton collisions at s $$ \sqrt{s} $$ = 13 TeV. …”
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A systematic review of obsessive-compulsive disorder symptomatology in religious people of Abrahamic faiths: implications for clinical practice by Hassan, H

“…Keywords related to ‘religion’, ‘scrupulosity’, and ‘OCD’, were searched using electronic databases (PsychINFO, MEDLINE, PUBMED, CINAHL, Embase, and GlobalHealth) in March 2023. …”

Indoor occupancy estimation using environmental parameters by Masood, Khalid Mustafa

“…Additionally, we use a ranking-based combinatorial search in our algorithms, which is more efficient than the exhaustive search used in past works. For wrapper feature selection, we propose the WRANK-ELM, which searches an ordered list of features using the Extreme Learning Machine (ELM) classifier. …”
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