A NEW MEASUREMENT OF DIRECT CP VIOLATION IN K→ππ DECAYS BY THE NA48 EXPERIMENT AT CERN

2001 ◽  
Vol 16 (supp01b) ◽  
pp. 665-668
Author(s):  
◽  
H. FOX
Keyword(s):  
Cp Violation ◽  
Previous Measurement ◽  
The Future ◽  
Using Data ◽  
Na48 Collaboration

A new measurement of ℛe(∊′/∊) by the NA48 collaboration using data collected in 1998 is presented. The preliminary result is ℛe(∊'/∊) =(12.2±2.9 ( stat )±4.0 ( sys )) ×10-4. The combination with the previous measurement using the 1997 data yields ℛe(∊′/∊)=(14.0±4.3)×10-4. This result confirms the existence of direct CP violation. The uncertainty on this measurement will be improved in the future.

Editor’s Pick: Regulatory and Ethical Issues in the New Era of Radiomics and Radiogenomics

EMJ Radiology ◽  
2020 ◽  
Author(s):  
Filippo Pesapane
Keyword(s):  
Ethical Issues ◽  
Medical Images ◽  
Practical Significance ◽  
Innovative Technology ◽  
New Era ◽  
Naked Eye ◽  
Disease Characteristics ◽  
The Future ◽  
Using Data ◽  
The Relationship

Radiomics is a science that investigates a large number of features from medical images using data-characterisation algorithms, with the aim to analyse disease characteristics that are indistinguishable to the naked eye. Radiogenomics attempts to establish and examine the relationship between tumour genomic characteristics and their radiologic appearance. Although there is certainly a lot to learn from these relationships, one could ask the question: what is the practical significance of radiogenomic discoveries? This increasing interest in such applications inevitably raises numerous legal and ethical questions. In an environment such as the technology field, which changes quickly and unpredictably, regulations need to be timely in order to be relevant.  In this paper, issues that must be solved to make the future applications of this innovative technology safe and useful are analysed.

scholarly journals Technology Predicting the Future using Data Mining Techniques

2020 ◽  
Vol 8 (5) ◽  
pp. 4204-4208
Keyword(s):  
Information Society ◽  
Industrial Revolution ◽  
Technology Development ◽  
Added Value ◽  
Security Technology ◽  
Great Chance ◽  
Technology Service ◽  
The Future ◽  
Future Society ◽  
Using Data

The technologies of the future society can make a super connective society where everything is connected and organically interacted, and it promotes “Hyper-Connected”, “Hyper-Intelligent”, "Hyper-Real" as it is possible to become intellectual by techniques such as artificial intelligence and big data analysis. To find out the key triggers by extracting the technologies with these characteristics and identifying what factors and forms are used allows us to grasp changes in the industry due to the rapidly changing domestic environment and the influence of innovation technologies. According to the analysis, the key triggers of major technologies in information society are keywords such as security, technology, service, virtual, and finance which have a great chance to converge with other technologies. The implications of this study are as follows. First, key technologies of domestic information society were identified based on a huge amount of reliable news data. In addition, Network Analysis based on Data, which has increased the frequency of studies all over the field including computer science, sociology and business administration, is applied to predicting the future. Based on this, the methodology has been proposed that can be used to predict the pattern of technology development or notable technologies in the future. This study wasn’t conducted only on one detailed technology, but comprehensively on major technologies extracted in the era of 4th Industrial Revolution and presents Black Swan Prediction to enhance competitiveness of domestic industry in related technologies and create new added value.

scholarly journals The current COVID-19 wave will likely be mitigated in the second-line European countries

2020 ◽  
Author(s):  
S. Soubeyrand ◽  
M. Ribaud ◽  
V. Baudrot ◽  
D. Allard ◽  
D. Pommeret ◽  
...  
Keyword(s):  
United Kingdom ◽  
Mixture Model ◽  
European Countries ◽  
Systems Science ◽  
Second Line ◽  
University Center ◽  
The Future ◽  
Population Structures ◽  
Data Driven Approach ◽  
Using Data

AbstractObjectiveCountries presently apply different strategies to control the COVID-19 outbreak. Differences in population structures, decision making, health systems and numerous other factors result in various trajectories in terms of mortality at country scale. Our objective in this manuscript is to disentangle the future of second-line European countries (i.e. countries that present, today, a moderate death rate) with respect to the current COVID-19 wave.MethodWe propose a data-driven approach, grounded on a mixture model, to forecast the dynamics of the number of deaths from COVID-19 in a given focal country using data from countries that are ahead in time in terms of COVID-19-induced mortality. In this approach, the mortality curves of ahead-in-time countries are used to build predictors, which are then used as the components of the mixture model. This approach was applied to eight second-line European countries (Austria, Denmark, Germany, Ireland, Poland, Portugal, Romania and Sweden), using Belgium, France, Italy, Netherlands, Spain, Switzerland, United Kingdom as well as the Hubei province in China to build predictors. For this analysis, we used data pooled by the Johns Hopkins University Center for Systems Science and Engineering.ResultsIn general, the second-line European countries tend to follow relatively mild mortality curves (typically, those of Switzerland and Hubei) rather than fast and severe ones (typically, those of Spain, Italy, Belgium, France and the United Kingdom). From a methodological viewpoint, the performance of our forecasting approach is about 80% up to 8 days in the future, as soon as the focal country has accumulated at least two hundreds of deaths.DiscussionOur results suggest that the continuation of the current COVID-19 wave across Europe will likely be mitigated, and not as strong as it was in most of the front-line countries first impacted by the wave.

scholarly journals Optimization of Electric Energy Sales Strategy Based on Probabilistic Forecasts

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1045
Author(s):  
Joanna Janczura ◽  
Aleksandra Michalak
Keyword(s):  
Electric Energy ◽  
Selling Price ◽  
Optimization Scheme ◽  
Sales Strategy ◽  
Price Distribution ◽  
Probabilistic Forecasts ◽  
The Future ◽  
Using Data

In this paper we propose an optimization scheme for a selling strategy of an electricity producer who in advance decides on the share of electricity sold on the day-ahead market. The remaining part is sold on the complementary (intraday/balancing) market. To this end, we use probabilistic forecasts of the future selling price distribution. Next, we find an optimal share of electricity sold on the day-ahead market using one of the three objectives: maximization of the overall profit, minimization of the sellers risk, or maximization of the median of portfolio values. Using data from the Polish day-ahead and balancing markets, we show that the assumed objective is achieved, as compared to the naive strategy of selling the whole produced electricity only on the day-ahead market. However, an increase of the profit is associated with a significant increase of the risk.

scholarly journals The Future of Hyperspectral Imaging

2019 ◽  
Vol 5 (11) ◽  
pp. 84 ◽  
Author(s):  
Stefano Selci
Keyword(s):  
Hyperspectral Imaging ◽  
Age Determination ◽  
Plant Diseases ◽  
Potato Tubers ◽  
Dynamic Scenes ◽  
New Methods ◽  
The Future ◽  
Using Data ◽  
The Stability

The Special Issue on hyperspectral imaging (HSI), entitled “The Future of Hyperspectral Imaging”, has published 12 papers. Nine papers are related to specific current research and three more are review contributions: In both cases, the request is to propose those methods or instruments so as to show the future trends of HSI. Some contributions also update specific methodological or mathematical tools. In particular, the review papers address deep learning methods for HSI analysis, while HSI data compression is reviewed by using liquid crystals spectral multiplexing as well as DMD-based Raman spectroscopy. Specific topics explored by using data obtained by HSI include alert on the sprouting of potato tubers, the investigation on the stability of painting samples, the prediction of healing diabetic foot ulcers, and age determination of blood-stained fingerprints. Papers showing advances on more general topics include video approach for HSI dynamic scenes, localization of plant diseases, new methods for the lossless compression of HSI data, the fusing of multiple multiband images, and mixed modes of laser HSI imaging for sorting and quality controls.

Math Anxiety, Math Self-Concept, and Math Self-Efficacy in Adult Learners Compared to Traditional Undergraduate Students

2014 ◽  
Vol 64 (4) ◽  
pp. 306-322 ◽  
Author(s):  
Molly M. Jameson ◽  
Brooke R. Fusco
Keyword(s):  
Adult Education ◽  
Adult Learners ◽  
Undergraduate Students ◽  
Self Efficacy ◽  
Math Anxiety ◽  
Self Report ◽  
Self Concept ◽  
Self Confidence ◽  
The Future ◽  
Using Data

Adult learners comprise a significant portion of current undergraduate populations, and projections indicate steady or growing numbers of adult learners in the future. Previous research has suggested that adult learners possess lower self-confidence than and face barriers not experienced by traditional undergraduate students. These constructs have not been explored specifically within mathematics, however, which was the purpose of the current study. Using data collected from 226 undergraduate students (60 traditional students, 166 adult learners), the current research found that adult learners self-report lower levels of math self-efficacy and higher levels of math anxiety than their traditional peers. Implications for adult education are suggested.

Shadow and Spillover Effects of Competition in NBA Playoffs

2017 ◽  
Vol 19 (8) ◽  
pp. 1067-1092 ◽  
Author(s):  
Brian Hill
Keyword(s):  
Spillover Effect ◽  
Spillover Effects ◽  
National Basketball Association ◽  
Shadow Effect ◽  
Previous Effort ◽  
The Future ◽  
Using Data

The National Basketball Association (NBA) playoffs are structured as an elimination tournament where reseeding does not occur after each round. This structure leads to situations where future competitors (the shadow effect) and previous effort (the spillover effect) affect current performance. Using data from the 2009-2014 NBA playoffs, results here find that, when a future opponent is known, a series favorite is significantly more likely to win a game when the future opponent is weaker than expected. Estimates also provide evidence that greater previous effort by teams increases the probability the series favorite wins a game.

scholarly journals Forecasting the future number of Pertussis cases using data from Google Trends

Heliyon ◽  
2021 ◽  
pp. e08386
Author(s):  
Dominik Nann ◽  
Mark Walker ◽  
Leonie Frauenfeld ◽  
Tamás Ferenci ◽  
Mihály Sulyok
Keyword(s):  
Google Trends ◽  
The Future ◽  
Using Data

scholarly journals How Important are Human Resources in Supporting Sharia Banking Performance in Indonesia?

INFERENSI ◽  
2020 ◽  
Vol 14 (2) ◽  
pp. 181-200
Author(s):  
ZULFIKAR HASAN
Keyword(s):  
Human Resources ◽  
Financial Services ◽  
Current Issue ◽  
Islamic Banking ◽  
Analysis Methods ◽  
The Future ◽  
Using Data

Research by the author is a type of research that combines qualitative andquantitative methods in looking at how influential Human Resources ison the performance of Islamic banking in Indonesia. This study takes datafrom the Financial Services Authority in addition to using data collectionand analysis methods based on the writer’s understanding by looking atthe current issue. Human Resources in Islamic banking needs to be oneof the main points to develop more exceptional Islamic banking and beable to survive and compete with conventional banking. HR is one of theessential factors in supporting the performance of this industry so that itcan be even better in the future by applying the principles of sharia to allsharia banking workers.

Fundamental dynamics: Past, present and the future — like CP violation and EDMs

2015 ◽  
Vol 30 (10) ◽  
pp. 1543006 ◽  
Author(s):  
Ikaros I. Bigi
Keyword(s):  
Cp Violation ◽  
Perturbative Qcd ◽  
Heavy Flavor ◽  
Accurate Data ◽  
Fundamental Parameters ◽  
T Violation ◽  
The Future ◽  
The Impact ◽  
Cp Asymmetries

Working with Kolya Uraltsev was a real 'marvel' for me in general, but in particular about CP and T violation, QCD and its impact on transitions in heavy flavor hadrons and EDMs. The goal was — and still is — to define fundamental parameters for dynamics, how to measure them and compare SM forces with New Dynamics using the best tools including our brains. The correlations of them with accurate data were crucial for Kolya. Here is a review of CP asymmetries in B, D and τ decays, the impact of perturbative and non-perturbative QCD, about EDMs till 2013 — and for the future.

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