MyMedR

Fulltext Impact of Economic Policy Uncertainty and Pandemic Uncertainty on International Tourism: What do We Learn From COVID-19?

Zhao X, Meo MS, Ibrahim TO, Aziz N, Nathaniel SP

Eval Rev, 2023 Apr;47(2):320-349.

PMID: 36255210 DOI: 10.1177/0193841X221132125

Uncertainty is an overarching aspect of life that is particularly pertinent to the present COVID-19 pandemic crisis; as seen by the pandemic's rapid worldwide spread, the nature and level of uncertainty have possibly increased due to the possible disconnects across national borders. The entire economy, especially the tourism industry, has been dramatically impacted by COVID-19. In the current study, we explore the impact of economic policy uncertainty (EPU) and pandemic uncertainty (PU) on inbound international tourism by using data gathered from Italy, Spain, and the United States for the years 1995-2021. Using the Quantile on Quantile (QQ) approach, the study confirms that EPU and PU negatively affected inbound tourism in all states. Wavelet-based Granger causality further reveals bi-directional causality running from EPU to inbound tourism and unidirectional causality from PU to inbound tourism in the long run. The overall findings show that COVID-19 has had a strong negative effect on tourism. So resilient skills are required to restore a sustainable tourism industry.

Matched MeSH terms: Uncertainty

Baby cry recognition based on WOA-VMD and an improved Dempster-Shafer evidence theory

Zhang K, Ting HN, Choo YM

Comput Methods Programs Biomed, 2024 Mar;245:108043.

PMID: 38306944 DOI: 10.1016/j.cmpb.2024.108043

BACKGROUND AND OBJECTIVE: Conflict may happen when more than one classifier is used to perform prediction or classification. The recognition model error leads to conflicting evidence. These conflicts can cause decision errors in a baby cry recognition and further decrease its recognition accuracy. Thus, the objective of this study is to propose a method that can effectively minimize the conflict among deep learning models and improve the accuracy of baby cry recognition.

METHODS: An improved Dempster-Shafer evidence theory (DST) based on Wasserstein distance and Deng entropy was proposed to reduce the conflicts among the results by combining the credibility degree between evidence and the uncertainty degree of evidence. To validate the effectiveness of the proposed method, examples were analyzed, and applied in a baby cry recognition. The Whale optimization algorithm-Variational mode decomposition (WOA-VMD) was used to optimally decompose the baby cry signals. The deep features of decomposed components were extracted using the VGG16 model. Long Short-Term Memory (LSTM) models were used to classify baby cry signals. An improved DST decision method was used to obtain the decision fusion.

RESULTS: The proposed fusion method achieves an accuracy of 90.15% in classifying three types of baby cry. Improvement between 2.90% and 4.98% was obtained over the existing DST fusion methods. Recognition accuracy was improved by between 5.79% and 11.53% when compared to the latest methods used in baby cry recognition.

CONCLUSION: The proposed method optimally decomposes baby cry signal, effectively reduces the conflict among the results of deep learning models and improves the accuracy of baby cry recognition.

Matched MeSH terms: Uncertainty

Fulltext The impact of fiscal decentralization, green energy, and economic policy uncertainty on sustainable environment: a new perspective from ecological footprint in five OECD countries

Zahra S, Badeeb RA

Environ Sci Pollut Res Int, 2022 Aug;29(36):54698-54717.

PMID: 35305216 DOI: 10.1007/s11356-022-19669-y

The paper explores the short-run and long-run asymmetric impact of fiscal decentralization, green energy, and economic policy uncertainty on environmental sustainability proxied by ecological footprint. Using the Nonlinear Autoregressive Distributed lag (NARDL) approach in selected five OECD countries, we find that ecological footprint responds to positive and negative fiscal decentralization asymmetrically in the long run and short run. However, the nature of the response varies significantly across countries. The result also suggests that green energy is a major factor in reducing the ecological footprint in all countries except Canada. Finally, economic policy uncertainty plays a negative and significant role in the ecological footprint in the UK, USA, and Germany while insignificant in Australia and Canada. Implications for effective environmental policies are discussed.

Matched MeSH terms: Uncertainty

Fulltext Performance characteristics and estimation of measurement uncertainty of two plating procedures for Listeria monocytogenes enumeration in chicken meat

Yong, W.Z., Haresh, K.K., Wong, W.C., 1 Pui, C.F., Son, R.

International Food Research Journal, 2012;19(2):409-416.

MyJurnal

The objectives highlighted in the present study were to determine the estimates of measurement uncertainty associated with PALCAM and CHROMagarTM Listeria media, to compare the efficacy between both media in relation to their measurement uncertainties. In addition, this study was carried out to assess the performance characteristics of spread and spiral plating procedures based on the comparison of Listeria monocytogenes enumeration between PALCAM and CHROMagarTM Listeria media. This work involved pure culture experiment, artificially contaminated samples experiment and naturally contaminated samples experiment. In pure culture experiment, PALCAM performance was relatively inferior to CHROMagarTM Listeria medium for both plating procedures. From the artificially contaminated samples, the results revealed that the values of repeatability, reproducibility, and measurement uncertainty at 95% confidence interval were comparable between both media under evaluation. However, at the level of naturally contaminated samples, the performance of CHROMagar
TM Listeria medium was refutable as the presence of high number of competitive microorganisms reduced the clarity of the medium. The current emphasis in ensuring microbiological safety which requires use of accredited laboratories has led to measurable need for measurement uncertainty to ensure reliability of test results for global acceptance.

Matched MeSH terms: Uncertainty

Fulltext Preliminary study on the effects of sample density in activities determination of 137Cs using gamma spectrometry counting system

Yii, Mei Wo, Zaharudin Ahmad

Journal of Nuclear and Related Technologies, 2005;2005(2):41-46.

MyJurnal

Gamma Spectrometry Counting System requires similar counting geometries for the calibration source, reference material and samples. The objectives of this study were to find out the effects of the sample density on 137 Cs activities measurement and propose reasonable corrections. Studies found that the activity of the samples is decreasing when the density of samples increased. Therefore, in order to have a more accurate estimation of samples activities; density corrections should be done either by performs mathematical corrections using equation or by increasing the expanded uncertainty when sample densities deviated from calibration source.

Matched MeSH terms: Uncertainty

Fulltext Norm-dist Monte-Carlo integrative method for the improvement of fuzzy analytic hierarchy process

Wicaksono FD, Arshad YB, Sihombing H

Heliyon, 2020 Apr;6(4):e03607.

PMID: 32346625 DOI: 10.1016/j.heliyon.2020.e03607

This paper presents the novel approach of the Norm-dist Monte-Carlo fuzzy analytic hierarchy process (NMCFAHP) to incorporate probabilistic and epistemic uncertainty due to human's judgment vagueness in multi-criteria decision analysis. Normal distribution is applied as the most appropriate distribution model to approximate the probability distribution function of the criteria and alternatives within Monte-Carlo simulation. To test the applicability of the proposed NMCFAHP, the case study of non-destructive test (NDT) technology selection is performed in the Petroleum Company in Borneo, Indonesia. When compared with the conventional triangular fuzzy-AHP, the proposed NMCFAHP method reduces the standard error of mean values by 90.4-99.8% at the final evaluation scores. This means that the proposed NMCFAHP significantly involves fewer errors when dealing with fuzzy uncertainty and stochastic randomness. The proposed NMCFAHP delivers reliable performance to overcome probabilistic uncertainty and epistemic vagueness in the group decision making process.

Matched MeSH terms: Uncertainty

Simulation of live-cell imaging system reveals hidden uncertainties in cooperative binding measurements

Watabe M, Arjunan SNV, Chew WX, Kaizu K, Takahashi K

Phys Rev E, 2019 Jul;100(1-1):010402.

PMID: 31499827 DOI: 10.1103/PhysRevE.100.010402

We propose a computational method to quantitatively evaluate the systematic uncertainties that arise from undetectable sources in biological measurements using live-cell imaging techniques. We then demonstrate this method in measuring the biological cooperativity of molecular binding networks, in particular, ligand molecules binding to cell-surface receptor proteins. Our results show how the nonstatistical uncertainties lead to invalid identifications of the measured cooperativity. Through this computational scheme, the biological interpretation can be more objectively evaluated and understood under a specific experimental configuration of interest.

Matched MeSH terms: Uncertainty

Nexus of the CSR disclosures and corporate financial performance: evidence from Asian countries climate policy uncertainty

Waris M, Din BH

Environ Sci Pollut Res Int, 2024 Jan;31(2):1995-2008.

PMID: 38049691 DOI: 10.1007/s11356-023-31307-9

Financial performance is a critical aspect of a company's overall health and sustainability. It directly influences investor decisions, stock market performance, credit ratings, and the company's ability to access capital. Corporate financial performance is influenced by multitude of facts, both internal and external such as disclosure of the information, and social and environmental factors. On the ground of the facts, we aimed to investigate non-financial firms that belong to Asian economies affected by climate policy uncertainty and corporate social responsibility disclosures in terms of their financial performance. To conduct quantitative study analysis, we used the two effective statistical tools such as two-stage regression method and generalized method of movement (GMM). Our results show that corporate high value of social responsibility disclosure and climate policy uncertainty has significant negative impact on return on asset (ROA) of the listed organizations of China, Pakistan, and India. Moreover, CSR disclosure attributes higher values such as social (SC) and governance score (GOV), and climate policy uncertainty (CPU) has significant negative relationship with return on equity (ROE) and earning per share (EPS) respectively, while a higher value of ESG total score and the environmental (ENV) score has a significant positive impact on ROE and EPS. Additionally, the research concludes that climate policy uncertainty is a key factor that motivates CSR disclosure practices, which ultimately improves corporate financial performance. Moreover, we concluded from our finding that the climate policy uncertainty creates ambiguity surrounding government regulations, international agreements, or market mechanisms that affect financial performance. Moreover, environmental disclosure information that has the large part in total ESG scores attract the investors around the globe which leads to rise in the financial performance, while the other attributes of the CSR disclosure decrease performance. This study advocated the great implications for researchers, investors, the government, and regulatory authorities. Policy makers can make the policy about the CSR disclosure for creating the good image of the organization to attract investors around the globe.

Matched MeSH terms: Uncertainty

Fulltext Online Learning Approach for Predictive Real-Time Energy Trading in Cloud-RANs

Wan Ariffin WNSF, Zhang X, Nakhai MR, Rahim HA, Ahmad RB

Sensors (Basel), 2021 Mar 25;21(7).

PMID: 33806215 DOI: 10.3390/s21072308

Constantly changing electricity demand has made variability and uncertainty inherent characteristics of both electric generation and cellular communication systems. This paper develops an online learning algorithm as a prescheduling mechanism to manage the variability and uncertainty to maintain cost-aware and reliable operation in cloud radio access networks (Cloud-RANs). The proposed algorithm employs a combinatorial multi-armed bandit model and minimizes the long-term energy cost at remote radio heads. The algorithm preschedules a set of cost-efficient energy packages to be purchased from an ancillary energy market for the future time slots by learning both from cooperative energy trading at previous time slots and by exploring new energy scheduling strategies at the current time slot. The simulation results confirm a significant performance gain of the proposed scheme in controlling the available power budgets and minimizing the overall energy cost compared with recently proposed approaches for real-time energy resources and energy trading in Cloud-RANs.

Matched MeSH terms: Uncertainty

Using GWAS top hits to inform priors in Bayesian fine-mapping association studies

Walters K, Cox A, Yaacob H

Genet Epidemiol, 2019 Sep;43(6):675-689.

PMID: 31286571 DOI: 10.1002/gepi.22212

The default causal single-nucleotide polymorphism (SNP) effect size prior in Bayesian fine-mapping studies is usually the Normal distribution. This choice is often based on computational convenience, rather than evidence that it is the most suitable prior distribution. The choice of prior is important because previous studies have shown considerable sensitivity of causal SNP Bayes factors to the form of the prior. In some well-studied diseases there are now considerable numbers of genome-wide association study (GWAS) top hits along with estimates of the number of yet-to-be-discovered causal SNPs. We show how the effect sizes of the top hits and estimates of the number of yet-to-be-discovered causal SNPs can be used to choose between the Laplace and Normal priors, to estimate the prior parameters and to quantify the uncertainty in this estimation. The methodology can readily be applied to other priors. We show that the top hits available from breast cancer GWAS provide overwhelming support for the Laplace over the Normal prior, which has important consequences for variant prioritisation. This work in this paper enables practitioners to derive more objective priors than are currently being used and could lead to prioritisation of different variants.

Matched MeSH terms: Uncertainty

Fulltext Using GIS and stakeholder involvement to innovate marine mammal bycatch risk assessment in data-limited fisheries

Verutes GM, Johnson AF, Caillat M, Ponnampalam LS, Peter C, Vu L, et al.

PLoS One, 2020;15(8):e0237835.

PMID: 32817725 DOI: 10.1371/journal.pone.0237835

Fisheries bycatch has been identified as the greatest threat to marine mammals worldwide. Characterizing the impacts of bycatch on marine mammals is challenging because it is difficult to both observe and quantify, particularly in small-scale fisheries where data on fishing effort and marine mammal abundance and distribution are often limited. The lack of risk frameworks that can integrate and visualize existing data have hindered the ability to describe and quantify bycatch risk. Here, we describe the design of a new geographic information systems tool built specifically for the analysis of bycatch in small-scale fisheries, called Bycatch Risk Assessment (ByRA). Using marine mammals in Malaysia and Vietnam as a test case, we applied ByRA to assess the risks posed to Irrawaddy dolphins (Orcaella brevirostris) and dugongs (Dugong dugon) by five small-scale fishing gear types (hook and line, nets, longlines, pots and traps, and trawls). ByRA leverages existing data on animal distributions, fisheries effort, and estimates of interaction rates by combining expert knowledge and spatial analyses of existing data to visualize and characterize bycatch risk. By identifying areas of bycatch concern while accounting for uncertainty using graphics, maps and summary tables, we demonstrate the importance of integrating available geospatial data in an accessible format that taps into local knowledge and can be corroborated by and communicated to stakeholders of data-limited fisheries. Our methodological approach aims to meet a critical need of fisheries managers: to identify emergent interaction patterns between fishing gears and marine mammals and support the development of management actions that can lead to sustainable fisheries and mitigate bycatch risk for species of conservation concern.

Matched MeSH terms: Uncertainty

Assessing clinical reasoning skills of final year medical students using the script concordance test

Velayudhan Menon, Rifdy Mohideen

International e-Journal of Science, Medicine & Education, 2016;10(1):36-40.

MyJurnal

Background: Clinical reasoning is the name given to
the cognitive processes by which doctors evaluate and
analyse information from patients. It is a skill developed
by experiential learning and is difficult to assess
objectively. The script concordance test, an assessment
tool introduced into the health sciences about 15 years
ago, is a way of assessing clinical reasoning ability in
an objective manner and allows comparisons of the
decisions made by medical students and experts in
situations of uncertainty.

Methods: Twenty-six final year medical students from
the International Medical University, Kuala Lumpur,
were tested on their decision making skills regarding a
young febrile patient. The students evaluated different
pieces of information in five different scenarios and
made decisions on a five-point Likert scale in the
standard format of the script concordance test. Their
decisions were compared to the decisions of a panel of
experienced clinicians in Internal Medicine.

Results: The script concordance test scores for the
different scenarios were calculated with higher scores
being indicative of greater concordance between the
reasoning of students and doctors. The students showed
poor concordance with doctors in evaluating clinical
information. Overall, only 20 percent of the choices
made by students were the same as the choices made by
the majority of doctors.

Conclusion: Medical students vary in their ability to
interpret the significance of clinical information. Using
the script concordance test, this preliminary study looked
at the ability of final year medical students to interpret
information about a patient with a febrile illness. The
results showed poor concordance between students and
doctors in the way they interpreted clinical information.
The script concordance test has the potential to be a
tool for teaching and assessing clinical reasoning.

Matched MeSH terms: Uncertainty

Fulltext Effects of chemopreventive agents on the incidence of recurrent colorectal adenomas: a systematic review with network meta-analysis of randomized controlled trials

Veettil SK, Teerawattanapong N, Ching SM, Lim KG, Saokaew S, Phisalprapa P, et al.

Onco Targets Ther, 2017;10:2689-2700.

PMID: 28579807 DOI: 10.2147/OTT.S127335

BACKGROUND: Protective effects of several chemopreventive agents (CPAs) against colorectal adenomas have been well documented in randomized controlled trials (RCTs); however, there is uncertainty regarding which agents are the most effective.

METHODS: We searched for RCTs published up until September 2016. Retrieved trials were evaluated using risk of bias. We performed both pairwise analysis and network meta-analysis (NMA) of RCTs to compare the effects of CPAs on the recurrence of colorectal adenomas (primary outcome). Using NMA, we ranked CPAs based on efficacy.

RESULTS: We identified 20 eligible RCTs enrolling 12,625 participants with a history of colorectal cancer or adenomas who were randomly assigned to receive either a placebo or one of 12 interventions. NMA using all trials demonstrated that celecoxib 800 mg/day (relative risk [RR] 0.61, 95% confidence interval [CI] 0.45-0.83), celecoxib 400 mg/day (RR 0.70, 95% CI 0.55-0.87), low-dose aspirin (RR 0.75, 95% CI 0.59-0.96) and calcium (RR 0.81, 95% CI 0.69-0.96) were significantly associated with a reduction in the recurrence of any adenomas. NMA results were consistent with those from pairwise meta-analysis. The evidence indicated a high (celecoxib), moderate (low-dose aspirin) and low (calcium) Grading of Recommendations, Assessment, Development and Evaluation (GRADE) quality. NMA ranking showed that celecoxib 800 mg/day and celecoxib 400 mg/day were the best CPAs, followed by low-dose aspirin and calcium. Considering advanced adenoma recurrence, only celecoxib 800 mg/day and celecoxib 400 mg/day were demonstrated to have a protective effect (RR 0.37, 95% CI 0.27-0.52 vs RR 0.48, 95% CI 0.38-0.60, respectively).

CONCLUSION: The available evidence from NMA suggests that celecoxib is more effective in reducing the risk of recurrence of colorectal adenomas, followed by low-dose aspirin and calcium. Since cyclooxygenase-2 (COX-2) inhibitors (eg, celecoxib) are associated with important cardiovascular events and gastrointestinal harms, more attention is warranted toward CPAs with a favorable benefit-to-risk ratio, such as low-dose aspirin and calcium.

Matched MeSH terms: Uncertainty

Fulltext Economic perspective of coronavirus (COVID-19)

Usman M, Ali Y, Riaz A, Riaz A, Zubair A

J Public Aff, 2020 Aug 07.

PMID: 32837324 DOI: 10.1002/pa.2252

This study aims to present a quick overview of the novel coronavirus (afterward COVID-19) which triggers from Wuhan, spread approximately 213 countries and territories around the globe, and still currently ongoing. Particularly, we are interested to investigate the economic perspective of COVID-19. This paper uses data from online published articles and current media sources, as the COVID-19 situation is unfolding yet. To deeply explore the said matter, we divide the economic impact into six dimensions that is, Chinese economy, Central Asian economies, South Asian economies, South East and West Asian economies, European economies, Northern African, and Middle Eastern economies. The paper concludes that epidemic situations like COVID-19 severely affect economies around the globe. The basic reasons behind such severity are immobility of labor, reduction in productivity, discontinuation of the supply chain, a decline in exports, uncertainty, and so on. This study is quite important for businesses and policymakers to estimate and plan current and post-COVID-19 situations.

Matched MeSH terms: Uncertainty

Fulltext Termination of pregnancy for a Muslim rape victim and dilemma in Malaysian setting: a case report

Umi Adzlin, S., Azizul, A., Uma, V., Nor’Izam, A.

Malaysian Journal of Psychiatry, 2012;21(2):0-0.

MyJurnal

This case report highlights on the dilemma in making a decision for termination of pregnancy (TOP) for a muslim rape victim in Malaysian setting. We report a case of 17 year-old student at 7 weeks of pregnancy after being gang-raped, who, together with her parents, had requested for a TOP. Psychiatric assessment showed that the patient suffered from a major depressive disorder and post-traumatic stress disorder which justified termination of pregnancy on a psychological and clinical basis. However the available Malaysian Islamic fatwa had caused some uncertainties on the final decision making. This case demonstrated on the needs to understand the relevant issues beyond clinical judgment in relation to TOP in our setting which encompasses the legal provision, ethical obligation as well as the needs for a clear religious understanding and stand to support the medical decision.

Matched MeSH terms: Uncertainty

Fulltext Wernicke's Encephalopthy Associated with Hyperemesis Gravidarum - A Case Report

Sulaiman W, Othman A, Mohamad M, Salleh HR, Mushahar L

Malays J Med Sci, 2002 Jul;9(2):43-6.

PMID: 22844223 MyJurnal

Two cases of Wernicke's encephalopathy due to hyperemesis gravidarum are described. The first patient presented with bilateral papilloedema, altered sensorium and the second with bilateral retinal haemorrhages, ophthalmoplegia and nystagmus. Both patients were diagnosed with Wernicke's encephalopathy on clinical ground since there were no laboratory facilities to measure red cell transketolase and thiamine pyrophosphate levels. This is a rare but treatable complication of hyperemesis gravidarum (HG) and due to lack of diagnostic tools, there is often diagnostic uncertainty, delay in commencing appropriate treatment, as well as irreversible damage to the upper brain stem and death.

Matched MeSH terms: Uncertainty

Observation of Two Excited B_{c}^{+} States and Measurement of the B_{c}^{+}(2S) Mass in pp Collisions at sqrt[s]=13 TeV

Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Bergauer T, Brandstetter J, et al.

Phys Rev Lett, 2019 Apr 05;122(13):132001.

PMID: 31012626 DOI: 10.1103/PhysRevLett.122.132001

Signals consistent with the B_{c}^{+}(2S) and B_{c}^{*+}(2S) states are observed in proton-proton collisions at sqrt[s]=13 TeV, in an event sample corresponding to an integrated luminosity of 143 fb^{-1}, collected by the CMS experiment during the 2015-2018 LHC running periods. These excited b[over ¯]c states are observed in the B_{c}^{+}π^{+}π^{-} invariant mass spectrum, with the ground state B_{c}^{+} reconstructed through its decay to J/ψπ^{+}. The two states are reconstructed as two well-resolved peaks, separated in mass by 29.1±1.5(stat)±0.7(syst) MeV. The observation of two peaks, rather than one, is established with a significance exceeding five standard deviations. The mass of the B_{c}^{+}(2S) meson is measured to be 6871.0±1.2(stat)±0.8(syst)±0.8(B_{c}^{+}) MeV, where the last term corresponds to the uncertainty in the world-average B_{c}^{+} mass.

Matched MeSH terms: Uncertainty

Observation of the χ_{b1}(3P) and χ_{b2}(3P) and Measurement of their Masses

Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Asilar E, Bergauer T, et al.

Phys Rev Lett, 2018 Aug 31;121(9):092002.

PMID: 30230889 DOI: 10.1103/PhysRevLett.121.092002

The χ_{b1}(3P) and χ_{b2}(3P) states are observed through their ϒ(3S)γ decays, using an event sample of proton-proton collisions collected by the CMS experiment at the CERN LHC. The data were collected at a center-of-mass energy of 13 TeV and correspond to an integrated luminosity of 80.0 fb^{-1}. The ϒ(3S) mesons are identified through their dimuon decay channel, while the low-energy photons are detected after converting to e^{+}e^{-} pairs in the silicon tracker, leading to a χ_{b}(3P) mass resolution of 2.2 MeV. This is the first time that the J=1 and 2 states are well resolved and their masses individually measured: 10513.42±0.41(stat)±0.18(syst) MeV and 10524.02±0.57(stat)±0.18(syst) MeV; they are determined with respect to the world-average value of the ϒ(3S) mass, which has an uncertainty of 0.5 MeV. The mass splitting is measured to be 10.60±0.64(stat)±0.17(syst) MeV.

Matched MeSH terms: Uncertainty

Fulltext Measurements of triple-differential cross sections for inclusive isolated-photon+jet events in p p collisions at s = 8 TeV

Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Asilar E, Bergauer T, et al.

Eur Phys J C Part Fields, 2019;79(11):969.

PMID: 31886778 DOI: 10.1140/epjc/s10052-019-7451-7

Measurements are presented of the triple-differential cross section for inclusive isolated-photon+jet events in

p
p

collisions at

s

=
8

TeV as a function of photon transverse momentum (

p

T

γ

), photon pseudorapidity (

η

γ

), and jet pseudorapidity (

η
jet

). The data correspond to an integrated luminosity of

19.7

fb

-
1

that probe a broad range of the available phase space, for

|

η

γ

|
<
1.44

and

1.57
<
|

η

γ

|
<
2.50

,

|

η
jet

|
<
2.5

,

40
<

p

T

γ

<
1000

GeV

, and jet transverse momentum,

p

T

jet

, > 25

GeV

. The measurements are compared to next-to-leading order perturbative quantum chromodynamics calculations, which reproduce the data within uncertainties.

Matched MeSH terms: Uncertainty

Inclusive Search for a Highly Boosted Higgs Boson Decaying to a Bottom Quark-Antiquark Pair

Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Asilar E, Bergauer T, et al.

Phys Rev Lett, 2018 Feb 16;120(7):071802.

PMID: 29542941 DOI: 10.1103/PhysRevLett.120.071802

An inclusive search for the standard model Higgs boson (H) produced with large transverse momentum (p_{T}) and decaying to a bottom quark-antiquark pair (bb[over ¯]) is performed using a data set of pp collisions at sqrt[s]=13 TeV collected with the CMS experiment at the LHC. The data sample corresponds to an integrated luminosity of 35.9 fb^{-1}. A highly Lorentz-boosted Higgs boson decaying to bb[over ¯] is reconstructed as a single, large radius jet, and it is identified using jet substructure and dedicated b tagging techniques. The method is validated with Z→bb[over ¯] decays. The Z→bb[over ¯] process is observed for the first time in the single-jet topology with a local significance of 5.1 standard deviations (5.8 expected). For a Higgs boson mass of 125 GeV, an excess of events above the expected background is observed (expected) with a local significance of 1.5 (0.7) standard deviations. The measured cross section times branching fraction for production via gluon fusion of H→bb[over ¯] with reconstructed p_{T}>450 GeV and in the pseudorapidity range -2.5

Matched MeSH terms: Uncertainty

Displaying publications 1 - 20 of 134 in total