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Observation of WZγ production and constraints on new physics scenarios in proton-proton collisions at s=13 TeV
No full textA measurement of the <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mrow><a:mrow><a:mi>W</a:mi></a:mrow><a:mi>Z</a:mi><a:mi>γ</a:mi></a:mrow></a:math> triboson production cross section is presented. The analysis is based on a data sample of proton-proton collisions at a center-of-mass energy of <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"><c:msqrt><c:mi>s</c:mi></c:msqrt><c:mo>=</c:mo><c:mn>13</c:mn><c:mtext> </c:mtext><c:mtext> </c:mtext><c:mi>TeV</c:mi></c:math> recorded with the CMS detector at the LHC, corresponding to an integrated luminosity of <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"><e:mn>138</e:mn><e:mtext> </e:mtext><e:mtext> </e:mtext><e:msup><e:mi>fb</e:mi><e:mrow><e:mo>−</e:mo><e:mn>1</e:mn></e:mrow></e:msup></e:math>. The analysis focuses on the final state with three charged leptons, <g:math xmlns:g="http://www.w3.org/1998/Math/MathML" display="inline"><g:mrow><g:mrow><g:msup><g:mrow><g:mo>ℓ</g:mo></g:mrow><g:mrow><g:mo>±</g:mo></g:mrow></g:msup></g:mrow><g:mi>ν</g:mi><g:mrow><g:msup><g:mrow><g:mo>ℓ</g:mo></g:mrow><g:mrow><g:mo>+</g:mo></g:mrow></g:msup></g:mrow><g:mrow><g:msup><g:mrow><g:mo>ℓ</g:mo></g:mrow><g:mrow><g:mo>−</g:mo></g:mrow></g:msup></g:mrow></g:mrow></g:math>, where <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" display="inline"><i:mo>ℓ</i:mo><i:mo>=</i:mo><i:mi>e</i:mi></i:math> or <k:math xmlns:k="http://www.w3.org/1998/Math/MathML" display="inline"><k:mrow><k:mi>μ</k:mi></k:mrow></k:math>, accompanied by an additional photon. The observed (expected) significance of the <m:math xmlns:m="http://www.w3.org/1998/Math/MathML" display="inline"><m:mrow><m:mi>W</m:mi></m:mrow><m:mi>Z</m:mi><m:mrow><m:mi>γ</m:mi></m:mrow></m:math> signal is 5.4 (3.8) standard deviations. The cross section is measured in a fiducial region, where events with an ℓ originating from a tau lepton decay are excluded, to be <o:math xmlns:o="http://www.w3.org/1998/Math/MathML" display="inline"><o:mn>5.48</o:mn><o:mo>±</o:mo><o:mn>1.11</o:mn><o:mtext> </o:mtext><o:mtext> </o:mtext><o:mi>fb</o:mi></o:math>, which is compatible with the prediction of <q:math xmlns:q="http://www.w3.org/1998/Math/MathML" display="inline"><q:mn>3.69</q:mn><q:mo>±</q:mo><q:mn>0.24</q:mn><q:mtext> </q:mtext><q:mtext> </q:mtext><q:mi>fb</q:mi></q:math> at next-to-leading order in quantum chromodynamics. Exclusion limits are set on anomalous quartic gauge couplings and on the production cross sections of massive axionlike particles.https://doi.org/10.1103/cm24-665
Clay Amendment for pH Mitigation of Electric Arc Furnace Ladle Slag
No full texthttps://doi.org/10.1061/9780784485699.03
Coordinated Control of the Volt-Var Optimization Problem Under PV-Based Microgrid Integration into the Power Distribution System: Using the Harmony Search Algorithm
No full textA coordinated control for the volt-var optimization (VVO) problem is presented using load tap changer transformers, voltage regulators, and capacitor banks with the integration of a PV-based microgrid. The harmony search (HS) algorithm, which is a metaheuristic-based optimization algorithm, was used to determine global optimum settings of related devices to operate efficiently under changing conditions. The major objectives of volt-var optimization were to reduce power losses, peak power demands, and voltage variations in the distribution circuit while maintaining voltages within the permitted range at all nodes and under all loading conditions. The problem was a mixed integer nonlinear problem with discrete integer variables; binary variables for the capacitor status on/off, voltage regulator taps as integers, and continuous variables; the current output of the microgrid; and nonlinear electric circuit equations. The simulations were verified using the IEEE 13-node test circuit. Daily load profiles of the main power system grid and the microgrid’s PV were used with a 15 min resolution. Power flow solutions were produced using the OpenDSS (version 9.5.1.1, year 2022) power distribution system solver. It can be applied to operational and planning purposes. The results showed that active power loss, peak power demand, and voltage fluctuation were significantly reduced by the coordinated control of the volt-var problem.https://doi.org/10.3390/smartcities8020045https://doaj.org/article/cae9469cacad4fdda3fcd2bb3be86383https://hdl.handle.net/11386/491658
Acetone and Isopropyl Alcohol Vapor Sensing Properties of NiO Films Under Varying Bias Voltages at Room Temperature
No full textThis study aims to evaluate the sensing performance of nickel oxide (NiO) particles in detecting acetone and isopropyl alcohol (IPA) vapors. NiO particles are synthesized using the hydrothermal method, and their optical properties are characterized using a UV‐vis spectrophotometer, with the bandgap calculated to be 3.3 eV. The sensing capabilities of the NiO particles for acetone and IPA vapors are tested under ambient conditions, with vapor concentrations varying between 3 and 21%, and bias voltages of 0, 0.5, 0.7, and 0.9 V. The results show that the response of the NiO particles improves as vapor concentrations increase. The best sensing performance is observed for acetone vapor without the application of any bias voltage. Moreover, the sensor's sensitivity to acetone vapor significantly increases at higher vapor concentrations in the absence of bias voltage. These findings suggest that NiO particles can be a promising alternative for acetone vapor sensing without the need for an applied voltage.https://doi.org/10.1002/pssa.20240089
Predicting Future SARS-CoV-2 Mutations using Deep Learning
No full textAbstract SARS-CoV-2 continues to spread over the world steadily as opposed to many earlier estimations that it would disappear in less than two years. Even though SARS-CoV-2 vaccines have reduced the speed of the infection significantly, they could not fully stop it. On the contrary, the World Health Organization has recently published cautionary statements that infection counts are on the rise, and a huge wave is expected in winter. Vaccines mostly target specific regions of the virus. The high mutation rate of SARS-CoV-2 is one essential tool that the virus exploits to escape from the available vaccines. Therefore, researchers have been working on designing next-generation vaccines against the new variants of the virus. Nevertheless, SARS-CoV-2 acquires new mutations faster than we can adapt our vaccines due to long clinical trial periods. Hence, there is a need for computational tools that can predict future SARS-CoV-2 mutations before they even emerge. In this paper, we propose several deep-learning-based methods to estimate the possible future mutations in SARS-CoV-2 genome. We design and evaluate various ensemble and bagging architectures enriched with a large set of genomic, biochemical, and phylogenetic features. We evaluate our models on the GISAID data and demonstrate that the best-performing methods achieve an F1-Macro score of 0.78.https://doi.org/10.1101/2025.07.12.66453
Career Paths of European Girls' Mathematical Olympiad (EGMO) Medalists
No full texthttps://doi.org/10.2139/ssrn.519923
Ending a Historical Debate: A Comparative Study of Sinan’s Challenge in Edirne Selimiye Mosque to Surpass the Dome of Istanbul’s Hagia Sophia
No full texthttps://doi.org/10.1061/jaeied.aeeng-171
Mapping Strain at the Atomic Scale with Pynanospacing: An Ai-Assisted Approach to Tem Image Processing and Visualization
No full texthttps://doi.org/10.2139/ssrn.5225582https://doi.org/10.1016/j.cpc.2025.10995
Assessment of Urban Design Scenarios from a Microclimatic Perspective and Recommendations for Climate-Sensitive Urban Design in a New Residential Site
No full texthttps://doi.org/10.1007/978-3-031-92850-5_3
FBN-based analysis of operational risks in marine compressed air systems
No full texthttps://doi.org/10.1080/20464177.2025.254621