Experimental study on prediction model for maximum rebound ratio

The proposed prediction model for estimating the maximum rebound ratio was applied to a field explosion test, Mandai test in Singapore. The estimated possible maximum peak particle velocities(PPVs) were compared with the field records. Three of the four available field-recorded PPVs lie exactly below the estimated possible maximum values as expected, while the fourth available field-recorded PPV lies close to and a bit higher than the estimated maximum possible PPV. The comparison results show that the predicted PPVs from the proposed prediction model for the maximum rebound ratio match the field-recorded PPVs better than those from two empirical formulae. The very good agreement between the estimated and field-recorded values validates the proposed prediction model for estimating PPV in a rock mass with a set of joints due to application of a two dimensional compressional wave at the boundary of a tunnel or a borehole.

Effects of the Discharge Parameters on the Efficiency and Stability of Ambient Metastable-Induced Desorption Ionization

Ionization efficiency is an important factor for ion sources in mass spectrometry and ion mobility spectrometry.Using helium as the discharge gas,acetone as the sample,and high-field asymmetric ion mobility spectrometry（FAIMS） as the ion detection method,this work investigates in detail the effects of discharge parameters on the efficiency of ambient metastableinduced desorption ionization（AMDI） at atmospheric pressure.The results indicate that the discharge power and gas flow rate are both significantly correlated with the ionization efficiency.Specifically,an increase in the applied discharge power leads to a rapid increase in the ionization efficiency,which gradually reaches equilibrium due to ion saturation.Moreover,when the discharge voltage is fixed at 2.1 kV,a maximum efficiency can be achieved at the flow rate of 9.0 m/s.This study provides a foundation for the design and application of AMDI for on-line detection with mass spectrometry and ion mobility spectrometry.

Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

We present a measurement of the integrated luminosity of e^(+)e^(-)collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm=3.773 GeV.The integrated luminosities of the datasets taken from December 2021 to June 2022,from November 2022 to June 2023,and from October 2023 to February 2024 were determined to be 4.995±0.019 fb^(-1),8.157±0.031 fb^(-1),and 4.191±0.016 fb^(-1),respectively,by analyzing large angle Bhabha scattering events.The uncertainties are dominated by systematic effects,and the statistical uncertainties are negligible.Our results provide essential input for future analyses and precision measurements.

Numerical study on maximum rebound ratio in blasting wave propagation along radian direction normal to joints

In the process of 2-D compressional wave propagation in a rock mass with multiple parallel joints along the radian direction normal to the joints, the maximum possible wave amplitude corresponding to the points between the two adjacent joints in the joint set is controlled by superposition of the multiple transmitted and the reflected waves, measured by the maximum rebound ratio. Parametric studies on the maximum rebound ratio along the radian direction normal to the joints were performed in universal distinct element code. The results show that the maximum rebound ratio is influenced by three factors, i.e., the normalized normal stiffness of joints, the ratio of joint spacing to wavelength and the joint from which the wave rebounds. The relationship between the maximum rebound ratio and the influence factors is generalized into five charts. Those charts can be used as the prediction model for estimating the maximum rebound ratio.

NONINVASIVE PROBING OF THE NEUROVASCULAR SYSTEM IN HUMAN BONE/BONE MARROW USING NEAR-INFRARED LIGHT

Understanding the mechanisms of interaction between bone/bone marrow,circulatory system and nervous system is of great interest due to the potential clinical impact.In humans,the amount of knowledge in this domain remains relatively limited due to the extreme difficulty to monitor these tissues continuously,noninvasively and for long or repeated periods of time.A typical difficult task would be,for example,to continuously monitor bone/bone marrow blood perfusion,hemoglobin oxygen saturation or blood volume and study their dependence on the activity of the autonomic nervous system.In this review article,we want to show that nearinfrared light might be utilized to solve these problems in part.We hope that the present analysis will stimulate future studies in this domain,for which near-infrared light appears as the best available technology today.

Preface to the Focused Issue on WENO Schemes

The weighted essentially-oscillatory(WENO)schemes are a class of finite volume and finite difference methods for solving convection-dominated problems,mainly hyperbolic conservation laws.The idea comes from the earlier essentially-oscillatory(ENO)schemes,first developed in[1]in finite volume version and in[6]in finite difference version,for solving hyperbolic conservation laws.

Preface to Focused Issue on Discontinuous Galerkin Methods

The discontinuous Galerkin(DG)method is a class of finite element methods using com-pletely discontinuous piecewise smooth functions(typically polynomials)as basis and test functions.Since its inception in 1973[10],it has seen a sustained development,both in the computational mathematics community and in many scientific and engineering application communities.The DG methods have several advantages,such as its extreme flexibility in dealing with complex geometry and adaptive computation(both h-and p-adaptivities are easy to implement),extremely high parallel efficiency,good stability properties(energy and entropy stability has been established for DG methods in many situations),nice con-vergence and superconvergence properties,and capability to solve hyperbolic and convec-tion-dominated problems effectively.

Amplitude analysis of the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)

Using e^(+)e^(−)annihilation data corresponding to an integrated luminosity of 2.93 fb^(−1)taken at the center-of-mass energy√s=3.773 GeV with the BESIII detector,a joint amplitude analysis is performed on the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η).The fit fractions of individual components are obtained,and large interferences among the dominant components of the decays D^(0)→a_(1)(1260)π,D^(0)→π(1300)π,D^(0)→ρ(770)ρ(770),and D^(0)→2(ππ)_(S)are observed in both channels.With the obtained amplitude model,the CP-even fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are determined to be(75.2±1.1_(stat).±1.5_(syst.))%and(68.9±1.5_(stat).±2.4_(syst.))%,respectively.The branching fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are measured to be(0.688±0.010_(stat.)±0.010_(syst.))%and(0.951±0.025_(stat.)±0.021_(syst.))%,respectively.The amplitude analysis provides an important model for the binning strategy in measuring the strong phase parameters of D^(0)→4πwhen used to determine the CKM angleγ(ϕ_(3))via the B^(−)→DK^(−)decay.

Determination of the number ofψ(3686)events taken at BESⅢ

The number ofψ(3686)events collected by the BESⅢdetector during the 2021 run period is determined to be(2259.3±11.1)×10~6 by counting inclusiveψ(3686)hadronic events.The uncertainty is systematic and the statistical uncertainty is negligible.Meanwhile,the numbers ofψ(3686)events collected during the 2009 and 2012run periods are updated to be(107.7±0.6)×10~6 and(345.4±2.6)×10~6,respectively.Both numbers are consistent with the previous measurements within one standard deviation.The total number ofψ(3686)events in the three data samples is(2712.4±14.3)×10~6.

Sodium Superionic Conductors(NASICONs)as Cathode Materials for Sodium‑Ion Batteries

Sodium-ion batteries(SIBs)have developed rapidly owing to the high natural abundance,wide distribution,and low cost of sodium.Among the various materials used in SIBs,sodium superion conductor(NASICON)-based electrode materials with remarkable structural stability and high ionic conductivity are one of the most promising candidates for sodium storage electrodes.Nevertheless,the relatively low electronic conductivity of these materials makes them display poor electrochemical performance,significantly limiting their practical application.In recent years,the strategies of enhancing the inherent conductivity of NASICON-based cathode materials have been extensively studied through coating the active material with a conductive carbon layer,reducing the size of the cathode material,combining the cathode material with various carbon materials,and doping elements in the bulk phase.In this paper,we review the recent progress in the development of NASICON-based cathode materials for SIBs in terms of their synthesis,characterization,functional mechanisms,and performance validation/optimization.The advantages and disadvantages of such SIB cathode materials are analyzed,and the relationship between electrode structures and electrochemical performance as well as the strategies for enhancing their electrical conductivity and structural stability is highlighted.Some technical challenges of NASICON-based cathode materials with respect to SIB performance are analyzed,and several future research directions are also proposed for overcoming the challenges toward practical applications.

Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model

Several epidemiological models have been proposed to study the evolution of COVID-19 pandemic.In this paper,we propose an extension of the SUIHTER model,to analyse the COVID-19 spreading in Italy,which accounts for the vaccination campaign and the presence of new variants when they become dominant.In particular,the specific features of the variants(e.g.their increased transmission rate)and vaccines(e.g.their efficacy to prevent transmission,hospitalization and death)are modeled,based on clinical evidence.The new model is validated comparing its near-future forecast capabilities with other epidemiological models and exploring different scenario analyses.

Mapping urban underground potential in Dakar,Senegal:From the analytic hierarchy process to self-organizing maps

This article presents a mapping method that seeks to provide urban planning with a diagnostic overview of the underground resources of an urban area.Resource potentials(for buildable space,groundwater or geomaterial extraction and geothermal energy)tend to be investigated on a needs-only basis once a project or plan has already been elaborated.This paradigm of‘needs to resources’risks favoring single-use rather than multi-use underground development,leading to unforeseen conflicts between possible uses(e.g.,pollution of an aquifer or congestion of infrastructure)or the irreversible loss of potential synergies(e.g.,geothermal collectors on building foundations).The Deep City project at the EPFL in Switzerland has been working on an alternative paradigm of‘resources to needs’,which is a holistic approach addressing the underground as a source of opportunity in synergy with surface development for curtailing urban sprawl while preserving public places or parks.The method,which combines geological and surface urban data,produces maps of individual and combined resource potentials without prioritizing any particular planning objective.This communication will present the method and the resulting maps through a case study conducted in 2016 in the city of Dakar,Senegal.After first summarizing the Deep City project and the mapping method,the urban and geological conditions of Dakar will be presented,followed by the application and results of the Deep City method.The calculation of the combined potentials map is an opportunity to compare two alternative methods of combination,the Analytic Hierarchy Process and Self-Organizing Maps(SOMs).Although the mapping method does not require complicated data collection or analysis,the SOM may be better suited both for dealing with larger quantities of data and for providing more meaningful mappings of geological and urban data in three dimensions.

Optimized numerical solutions of SIRDVW multiage model controlling SARS-CoV-2 vaccine roll out:An application to the Italian scenario

In the context of SARS-CoV-2 pandemic,mathematical modelling has played a funda-mental role for making forecasts,simulating scenarios and evaluating the impact of pre-ventive political,social and pharmaceutical measures.Optimal control theory represents a useful mathematical tool to plan the vaccination campaign aimed at eradicating the pandemic as fast as possible.The aim of this work is to explore the optimal prioritisation order for planning vaccination campaigns able to achieve specific goals,as the reduction of the amount of infected,deceased and hospitalized in a given time frame,among age classes.For this purpose,we introduce an age stratified SIR-like epidemic compartmental model settled in an abstract framework for modelling two-doses vaccination campaigns and conceived with the description of COVID19 disease.Compared to other recent works,our model incorporates all stages of the COVID-19 disease,including death or recovery,without accounting for additional specific compartments that would increase computa-tional complexity and that are not relevant for our purposes.Moreover,we introduce an optimal control framework where the model is the state problem while the vaccine doses administered are the control variables.An extensive campaign of numerical tests,featured in the Italian scenario and calibrated on available data from Dipartimento di Protezione Civile Italiana,proves that the presented framework can be a valuable tool to support the planning of vaccination campaigns.Indeed,in each considered scenario,our optimization framework guarantees noticeable improvements in terms of reducing deceased,infected or hospitalized individuals with respect to the baseline vaccination policy.

Conditionally Optimal Weights of Evidence

A weight of evidence is a calibrated statistic whose values in [0, 1]indicate the degree of agreement between the data and either of two hypothesis, one being treated asthe null (H_0) and the other as the alternative (H_1). A value of zero means perfect agreement withthe null, whereas a value of one means perfect agreement with the alternative. The optimality weconsider is minimal mean squared error (MSE) under the alternative while keeping the MSE under thenull below a fixed bound. This paper studies such statistics from a conditional point of view, inparticular for location and scale models.

Search for the doubly heavy baryons Ω^(0)_(bc) and E^(0)_(bc) decaying to Λ^(+)_(c)π^(-) and E^(+)_(c)π^(-)

The first search for the doubly heavyΩ^(0)_(bc)baryon and a search for the E^(0)_(bc)baryon are performed using pp collision data collected via the LHCb experiment from 2016 to 2018 at a centre-of-mass energy of 13 TeV,corresponding to an integrated luminosity of 5.2 fb^(-1).The baryons are reconstructed via their decays to Λ^(+)_(c)π^(-)and E^(+)_(c)π^(-).No significant excess is fbund for invariant masses between 6700 and 7300 MeV/c^(2),in a rapidity range from 2.0 to 4.5 and a transverse momentum range from 2 to 20 MeV/c.Upper limits are set on the ratio of the Ω^(0)_(bc)and E^(0)_(bc)production cross-section times the branching fraction to Λ^(+)_(c)π^(-)(E^(+)_(c)π^(-))relative to that of the Λ^(0)_(b)(E^(0)_(b))baryon,for different lifetime hypotheses,at 95%confidence level.The upper limits range from 0.5 x 10^(-4)to 2.5 x 10^(-4)for theΩ^(0)_(bc)→Λ^(+)_(c)π^(-)(E^(0)_(bc)→Λ^(+)_(c)π^(-))decay,and from 1.4x 10^(-3)to 6.9 x 10^(-3)for theΩ^(0)_(bc)→E^(+)_(c)π^(-)(E^(0)_(bc)→E^(+)_(c)π^(-))decay,depending on the considered mass and lifetime of theΩ^(0)_(bc)(E^(0)_(bc))baryon.

PARTICLE DETECTORS AT ACCELERATORS

33.1. Introduction This review summarizes the detector technologies employed at accelerator particle physics experiments. Several of these detectors are also used in a non-accelerator context and examples of such applications will be provided. The detector techniques which are specific to non-accelerator particle physics experiments are the subject of Chap.

ACCELERATOR PHYSICS OF COLLIDERS

Revised August 2013 by M.J. Syphers （MSU） and F. Zimmermann （CERN）.29.1. Luminosity This article provides background for the High-Energy Collider Parameter Tables that follow. The number of events, Nexp, is the product of the cross section of interest,

QUARK MODEL

Revised August 2013 by C. Amsler （University of Bern）, T. DeGrand （University of Colorado, Boulder）, and B. Krusche （University of Basel）.

ELECTROWEAK MODEL AND CONSTRAINTS ON NEW PHYSICS

Revised November 2013 by J. Erler （U. Mexico） and A. Freit＆s （Pittsburgh U.）.10.1 Introduction 10.2 Renormalization and radiative corrections

Search for the rare decay B^(0)→J/ψФ

A search for the rare decay B^(0)→J/ψФis performed using Pp collision data collected with the LHCb dete-ctor at centre-of-mass energies of 7,8 and 13 TeV,corresponding to an integrated luminosity of9 fb.No significant signal of the decay is observed and an upper limitof 1.1x 10^(-7)at 90%confidence level is set on the branching fraction.