Higgs boson properties and supersymmetry: Constraints and sensitivity from the LHC to an e + e − collider

The study of the Higgs boson properties offers compelling perspectives for testing the effects of physics beyond the Standard Model and has deep implications for the LHC program and future colliders. Accurate determinations of the Higgs boson properties can provide us with a distinctively precise picture of the Higgs sector, set tight bounds, and predict ranges for the values of new physics model parameters. In this paper, we discuss the constraints on supersymmetry that can be derived by a determination of the Higgs boson mass and couplings. We quantify these constraints by using scans of the 19-parameter space of the so-called phenomenological minimal supersymmetric Standard Model. The fraction of scan points that can be excluded by the Higgs measurements is studied for the coupling measurement accuracies obtained in LHC run 2 and expected for the HL-LHC program and eþe− colliders and contrasted with those derived from missing transverse energy searches at the LHC and from dark matter experiments.Estonian Research Council MOBTT86Junta de AndaluciaEuropean Commission MOBTT86 A-FQM-211-UGR18 P18-FR-431

The forward-backward asymmetry of top quark production at the Tevatron in warped extra dimensional models

The CDF and D0 experiments have reported on the measurement of the forward-backward asymmetry of top quark pair production at the Tevatron and the result is that it is more than 2 standard deviations above the predicted value in the Standard Model. This has to be added to the longstanding anomaly in the forward-backward asymmetry for bottom quark production at LEP which is 3 standard deviations different from the Standard Model value. The discrepancy in the bottom asymmetry can be accounted for by the contributions of Kaluza-Klein excitations of electroweak gauge bosons at LEP in warped extra dimensional models in which the fermions are localized differently along the extra dimension so that the gauge interactions of heavy third generation fermions are naturally different from that of light fermions. In this paper, we show that it is more difficult to elaborate a model generating a significant top asymmetry in a similar way -- through exchanges of Kaluza-Klein gluons at the Tevatron -- due to the indirect constraints originating from precision electroweak data.Comment: 4 pages, 1 figure, published versio

Higgs Bosons: Intermediate Mass Range at e+e- Colliders

We elaborate on the production of the Standard Model Higgs particle at high-energy $e^+e^-$ colliders through the reaction $e^+e^- \rightarrow ZH$. Particular emphasis is put on the intermediate mass range. In addition to the signal we discuss in detail the background processes. Angular distributions which are sensitive to the spin and parity of the Higgs particle are analyzed.Comment: Standard Latex. 15 pages. 11 figures available by fax or regular mail. MAD/PH/749, DESY 93-064, UdeM-LPN-TH-93-143, NUHEP-TH-93-1

Miniaturized CSRR TAG Antennas for 60GHz Applications

In this paper, a novel approach to design an antenna for a transponder inradio frequency identification (RFID) is proposed. This approach is based onusing a slot-ring antenna with a coplanar waveguide excitation integratedantennas in silicon technology. The RFID frequency chosen is the worldwideavailable free 60-GHz band .The structure is simulated by using ComputerSimulation Technology (CST). The antenna size is 1.5 × 1.3 mm2. Thisproposed antenna presents a gain about 3.82 dB which means a possibility toincrease the readable range.DOI:http://dx.doi.org/10.11591/ijece.v4i1.472

Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization

Distributed learning paradigms, such as federated or decentralized learning, allow a collection of agents to solve global learning and optimization problems through limited local interactions. Most such strategies rely on a mixture of local adaptation and aggregation steps, either among peers or at a central fusion center. Classically, aggregation in distributed learning is based on averaging, which is statistically efficient, but susceptible to attacks by even a small number of malicious agents. This observation has motivated a number of recent works, which develop robust aggregation schemes by employing robust variations of the mean. We present a new attack based on sensitivity curve maximization (SCM), and demonstrate that it is able to disrupt existing robust aggregation schemes by injecting small, but effective perturbations

An Image Processing Based Classifier to Support Safe Dropping for Delivery-by-Drone

Autonomous delivery-by-drone of packages is an active area of research and commercial development. However, the assessment of safe dropping/ delivery zones has received limited attention. Ensuring that the dropping zone is a safe area for dropping, and continues to stay safe during the dropping process is key to safe delivery. This paper proposes a simple and fast classifier to assess the safety of a designated dropping zone before and during the dropping operation, using a single onboard camera. This classifier is, as far as we can tell, the first to address the problem of safety assessment at the point of deliveryby- drone. Experimental results on recorded drone videos show that the proposed classifier provides both average precision and average recall of 97% in our test scenarios

An Image Processing Approach for Real-Time Safety Assessment of Autonomous Drone Delivery

The aim of producing self-driving drones has driven many researchers to automate various drone driving functions, such as take-off, navigation, and landing. However, despite the emergence of delivery as one of the most important uses of autonomous drones, there is still no automatic way to verify the safety of the delivery stage. One of the primary steps in the delivery operation is to ensure that the dropping zone is a safe area on arrival and during the dropping process. This paper proposes an image-processing-based classification approach for the delivery drone dropping process at a predefined destination. It employs live streaming via a single onboard camera and Global Positioning System (GPS) information. A two-stage processing procedure is proposed based on image segmentation and classification. Relevant parameters such as camera parameters, light parameters, dropping zone dimensions, and drone height from the ground are taken into account in the classification. The experimental results indicate that the proposed approach provides a fast method with reliable accuracy based on low-order calculations

Dynamics of bovine intramammary infections due to coagulase-negative staphylococci on four farms

The objectives of this study were to compare the impact of different coagulase-negative species (CNS) on udder health measured in terms of individual quarter milk somatic cell count (SCC) and duration of intramammary infection, and to get some insight into most likely routes of infection for different CNS species. This longitudinal observational study was performed on four farms that were sampled at 4-week intervals for a total of 12 visits each. Quarters infected with CNS were followed through time with milk samples being submitted for bacteriological culture and SCC determination. PCR amplification of the internal transcribed spacer region and sequencing of the sodA and rpoB genes were used for species allocation. Pulsed-field gel electrophoresis (PFGE) was performed to assess strain identity. The percentage of quarters affected per farm varied between 6 and 35%, with the most frequently isolated CNS species being Staphylococcus epidermidis, followed by Staph. simulans, Staph. chromogenes and Staph. haemolyticus. It was possible to follow 111 intramammary infections due to CNS through time. Duration of infection had a mean of 188 d and was not significantly different between CNS species. Geometric mean quarter SCC overall was 132 000 cells/ml and was also not significantly different between CNS species. Despite the possibility of a different epidemiology of infection, the impact in terms of udder health seems to be similar for different CNS species

Synthesis, Metal Ions Coordination, Antimicrobial Activity of Some L-Tartaric Acid Derivatives

Abstract: The bis-1,3,4-oxadiazole-thione and bis-4-amino-1,2,4-triazole-thiol derivatives from L-tartaric acid were synthesized. The synthetic intermediates, ester, hydrazide and oxadiazole derivatives have shown a significant tendency to form complexes with Fe(III), Ni(II) and Cu(II) ions. The formation of complexes with metals was detected by UV-Vis and IR spectroscopy. A novel complex nucleoside from bis-4-amino-1,2,4-triazole-thiol derivative with l-arabinose was also synthesized. The antimicrobial activity for final and synthetic intermediates in vitro against the microorganisms: Escherichia coli, Pseudomonas aeruginosa, Yersinia pseudotuberculosis, Enterococcus faecalis, Staphylococcus aureus and Candida albicans were examined and some products showed noticeable activity against the tested microorganisms