Search for new physics in high-mass diphoton events from proton-proton collisions at s... by Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D.

“…Events with a diphoton invariant mass greater than 500 GeV are considered. Two different techniques are used to predict the standard model backgrounds: parametric fits to the smoothly-falling background and a first-principles calculation of the standard model diphoton spectrum at next-to-next-to-leading order in perturbative quantum chromodynamics calculations. …”
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Jaya algorithm hybridized with extreme gradient boosting to predict the corrosion-induced mass loss of agro-waste based monolithic and Ni-reinforced porous alumina by Dele-Afolabi, T.T., Jung, D.W., Ahmadipour, Masoud, Azmah Hanim, M.A., Adeleke, A.O., Kandasamy, M., Gunnasegaran, Prem

“…The results showed that the Jaya-XGBoost model performed better in predicting the corrosion-induced mass loss of both the monolithic and the nickel-reinforced porous alumina than the regular XGBoost model in terms of statistical accuracy measures. …”
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Reduced cell and stack modeling of planar solid oxide fuel cells by He, Zhongjie

“…In terms of sensitivity analysis of isothermal single-cell performance, apart from the development of the above correlation and variation factors for spatial smoothing, Monte Carlo simulation (MCS) is conducted for an advanced 2D ASSI P-SOFC model, in which the previously achieved 2D ASSI model for the leading-order average predictions is coupled with the variation factors for the spanwise variability of mass fractions, in order to statistically assess the effects of stochastic material properties, operating conditions, and geometrical parameters on cell behaviours. …”
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Thermal conductivity variations with composition of gelatin-silica aerogel-sodium dodecyl sulfate with functionalized multi-walled carbon nanotube doping in their composites by Mahesh, Sachithanadam, Joshi, Sunil Chandrakant

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Two-stage Bayesian system identification using Gaussian discrepancy model by Zhang, Feng-Liang, Au, Siu-Kui, Ni, Yan-Chun

“…In Stage II, the modal parameters are used to update structural parameters such as those related to stiffness, mass and boundary conditions. A recent Bayesian formulation allows the identification results in the first stage to be incorporated in the second stage directly via Bayes' rule without using a heuristic model (often based on classical statistics) that transfers the information from Stage I to II. …”
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Modelling and characterization of membrane fouling in osmotically-driven membrane processes (ODMPs) by Lai, Li

“…In the second part of this study, the fouling model derived from mass balance equations in multiple boundary layers in forward osmosis membrane was studied and used to interpret colloidal particle deposition behavior in forward osmosis on AL-DS mode. …”
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Effectiveness of health education intervention based on health belief model among elderly women in Urmia, Iran by Iranagh, Jamileh Amirzadeh

“…It seemed that each of the physical activity or nutrition or compound group led to improvement in the subjects’ body mass index, waist circumference, mid-upper arm circumference, and hip circumference. …”
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The effects of a blended learning model on the physical fitness of Chinese university students: a cluster randomized controlled trial in basketball education by Wang, Chen, Yuan, Yubin, Ji, Xueyan

“…Statistical analyses were conducted via generalized estimating equation (GEE) modeling, with the significance level set at P < 0.05. …”
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A model-independent measurement of the CKM angle γ in partially reconstructed B± → D*h± decays with D → 𝐾0𝑆 h+h− (h = π, K) by Aaij, R., Abdelmotteleb, A. S. W., Abellan Beteta, C., Abudinén, F., Ackernley, T., Adeva, B., Adinolfi, M., Adlarson, P., Agapopoulou, C., Aidala, C. A., Ajaltouni, Z., Akar, S., Akiba, K., Albicocco, P., Albrecht, J., Alessio, F.

“…The distribution of signal yields in the <jats:italic>D</jats:italic> decay phase space is analysed in a model-independent way. The measurement uses a data sample collected in proton-proton collisions at centre-of-mass energies of 7, 8, and 13 TeV, corresponding to a total integrated luminosity of approximately 9 fb<jats:sup><jats:italic>−</jats:italic>1</jats:sup>. …”
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Correlation between spectral permittivity characteristics and fatty acid methyl ester composition for lard detection in edible oils by Amat Sairin, Masyitah

“…Principal component analysis (PCA) was implemented to the data for statistical modeling to cluster different groups of edible oils, especially lard from other edible oils. …”
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Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus by Tam, Zhi Yang, Ng, Sean Pin, Tan, Ling Qiao, Lin, Chih-Hsien, Rothenbacher, Dietrich, Klenk, Jochen, Boehm, Bernhard Otto, Goh, Kelvin Kau Kiat, Suwanchaikasem, Pipob, Tipthara, Pornpimol, Koenig, W., Riepe, M., Peter, R., Geiger, H., Ludolph, A., Arnim, C. v., Denkinger, M. D., Yang, Song Yi, Nagel, G., Weinmayr, G., Rapp, K., Dallmeier, D., Steinacker, J. M., Laszlo, R., Becker, T., Stingl, J.

“…Statistical modeling of measurements and thorough validation of structural assignment using liquid chromatography tandem mass-spectrometry (LC-MS/MS) have led to the identification of metabolite biomarkers associated with late-onset T2D. …”
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Closed-loop, variable-valve-timing control of a controlled-auto-ignition engine by Matthews, Jeffrey A., 1970-

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Study of the rare decay J/ψ → μ + μ − μ + μ − by Aaij, R, Abdelmotteleb, ASW, Abellan Beteta, C, Abudinén, F, Ackernley, T, Adefisoye, AA, Adeva, B, Adinolfi, M, Adlarson, P, Agapopoulou, C, Aidala, CA, Ajaltouni, Z, Akar, S, Akiba, K, Albicocco, P, Albrecht, J, Alessio, F, Alexander, M, Aliouche, Z, Alvarez Cartelle, P, Amalric, R, Amato, S, Amey, JL, Amhis, Y, Bacher, D, Bovill, M, Cervenkov, D, Fischer, KL, Gao, R, Gilman, AL, Goncalves Abrantes, F, Harnew, N, John, M, Mackay, I, Malde, S, Martel, L, Mohammed, RA, Patoc, J, Resmi, PK, Scantlebury Smead, LG, Smallwood, JC, Stanislaus, S, Suljik, F, Tat, MD, Vico Benet, D, Wilkinson, G, Zhang, S

“…The rate of this decay is measured relative to that of the J/ψ → μ+μ− mode. Using the QED model for the four-muon decay in the efficiency estimation, its branching fraction is determined to beBJ/ψ→μ+μ−μ+μ−=1.13±0.10±0.05±0.01×10−6, where the uncertainties are statistical, systematic and due to the uncertainty on the branching fraction of the J/ψ → μ+μ− decay.…”

Observation of the B+ c → J/ψπ+π 0 decay by Aaij, R., Abdelmotteleb, A. S. W., Abellan Beteta, C., Abudinén, F., Ackernley, T., Adams, J. A., Adefisoye, A. A., Adeva, B., Adinolfi, M., Adlarson, P., Agapopoulou, C., Aidala, C. A., Ajaltouni, Z., Akar, S., Akiba, K., Albicocco, P.

“…The π+π0 mass spectrum is found to be consistent with the dominance of an intermediate ρ+ contribution in accordance with a model based on QCD factorisation.…”
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Study on muscle remodeling using in vivo microscopy of drosophila metamorphosis and quantitative image analysis by Kuleesha

“…Thanks to the ability to perform live imaging of muscle development in transparent pupae and the power of genetics, metamorphosis in Drosophila can be used as a model to study the regulation of skeletal muscle mass. …”
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Energetic, exergetic, and entropy generation prediction and optimization of photovoltaic thermal system integrated hexagonal boron nitride-water nanofluid by Nurhanis Sofiah, Abd Ghafar, Kumar Pandey, Adarsh Kumar, Rajamony, Reji Kumar, Samykano, Mahendran, Pasupuleti, Jagadeesh, Nur Fatin, Sulaiman, Saidur, Rahman Md

“…ANOVA tables demonstrate the statistical significance of variables and their interactions, with high R-squared values of 98.27 %, 99.51 %, 99.86 %, 97.34 %, and 100 %, respectively, confirming the model's robustness. …”
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Study of the rare decay J/ψ → μ+μ−μ+μ− by Aaij, R., Abdelmotteleb, A. S. W., Abellan Beteta, C., Abudinén, F., Ackernley, T., Adefisoye, A. A., Adeva, B., Adinolfi, M., Adlarson, P., Agapopoulou, C., Aidala, C. A., Ajaltouni, Z., Akar, S., Akiba, K., Albicocco, P., Albrecht, J., The LHCb collaboration

“…The rate of this decay is measured relative to that of the J/ψ → μ+μ− mode. Using the QED model for the four-muon decay in the efficiency estimation, its branching fraction is determined to be B J / ψ → μ + μ − μ + μ − = 1.13 ± 0.10 ± 0.05 ± 0.01 × 10 − 6 , where the uncertainties are statistical, systematic and due to the uncertainty on the branching fraction of the J/ψ → μ+μ− decay.…”
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Hormone replacement therapy and cancer survival: a longitudinal cohort study: protocol paper by Ranger, TA, Burchardt, J, Clift, AK, Mei, WX, Coupland, C, Tan, PS, Dixon, S, Cardwell, CR, Hippisley-Cox, J

“…Statistical analysis will include descriptive statistics and Cox proportional hazards models to calculate HRs and 95% CIs. …”

Landscape Water Storage and Subsurface Correlation from Satellite Surface Soil Moisture and Precipitation Observations by Short Gianotti, Daniel J., Salvucci, Guido D., Akbar, Ruzbeh, McColl, Kaighin A., Cuenca, Richard, Entekhabi, Dara

“…We calculate a hydrologic length scale, λ, which represents (1) the mean-state estimator of total column water changes from surface observations, (2) an e-folding length scale for subsurface soil moisture profile covariance fall-off, and (3) the best second-moment mass-conserving surface layer thickness for a simple bucket model, defined by the data streams of satellite soil moisture and precipitation retrievals. …”
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Relationship between selected biopsychosocial factors on cognitive functions among Malaysian community-dwelling older adults by Foong, Hui Foh

“…Data analyses were carried out after examining the data for coding error, identifying and removing outliers, replacing missing values, and addressing normality issue. The main statistical analyses involved in the current study were Pearson’s correlation, chi-square test, multiple linear regression, and structural equation modelling. …”
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