1,634 research outputs found
A mixed methods study exploring how Social Emotional Mental Health (SEMH) special schools monitor pupils SEMH development.
The effect of quantum memory on quantum games
We study quantum games with correlated noise through a generalized
quantization scheme. We investigate the effects of memory on quantum games,
such as Prisoner's Dilemma, Battle of the Sexes and Chicken, through three
prototype quantum-correlated channels. It is shown that the quantum player
enjoys an advantage over the classical player for all nine cases considered in
this paper for the maximally entangled case. However, the quantum player can
also outperform the classical player for subsequent cases that can be noted in
the case of the Battle of the Sexes game. It can be seen that the Nash
equilibria do not change for all the three games under the effect of memory.Comment: 26 pages, 7 ps figure
Quantum Games with Correlated Noise
We analyze quantum game with correlated noise through generalized
quantization scheme. Four different combinations on the basis of entanglement
of initial quantum state and the measurement basis are analyzed. It is shown
that the advantage that a quantum player can get by exploiting quantum
strategies is only valid when both the initial quantum state and the
measurement basis are in entangled form. Furthermore, it is shown that for
maximum correlation the effects of decoherence diminish and it behaves as a
noiseless game.Comment: 12 page
Association of Entrepreneurship Ecosystem with Economic Growth in Selected Countries: An Empirical Exploration
This study was created the entrepreneurship ecosystem index (EEI) as an effective tool for measurement of entrepreneurship ecosystem for 34 selected economies during 2000-2017. It was considered EEI as an integrated index of 12 different indicators (i.e. financing for entrepreneurs, governmental support and policies, taxes and bureaucracy, governmental programs, basic school entrepreneurial education and training, post school entrepreneurial education and training, R&D transfer, commercial and professional infrastructure, internal market dynamics, internal market openness, physical and services infrastructure, and cultural and social norms) of entrepreneurship activities. Composite Z-score technique was used to create EEI for undertaken economies. Thereupon, it assesses the association of estimated EEI with socio-economic, science & technology (S&T) and IPRs related factors using correlation coefficient techniques. Estimated values of EEI show that India has 8th position in entrepreneurship ecosystem among the 34 economies. Also, there was found a high diversity in entrepreneurship ecosystem in efficiency, factor and innovation driven economies due to variation in 12 indicators of entrepreneurship ecosystem and socio-economic activities. Accordingly, it investigates the causal relationship between EEI and per capita GDP using linear, non-linear and log-linear regression models at country-wise panel data. Empirical results imply that per capita GDP is significantly associated with entrepreneurship ecosystem, socio-economic, S&T and IPRs related indicators. Entrepreneurship ecosystem have a causal relationship with per capita GDP. Entrepreneurship ecosystem is significantly associated with socio-economic development and S&T and IPRs related indicators. It brings several practical policy proposals to create effective entrepreneurship ecosystem, and to sustain economic and social development in India.
Research paper
Keywords: Entrepreneurship ecosystem; Science & Technology, Intellectual property rights; Per capita GDP; Economic development; India; Developed and developing economies
Reference to this paper should be made as follows: Singh, A. K., & Ashraf, S. N. (2020). Association of Entrepreneurship Ecosystem with Economic Growth in Selected Countries: An Empirical Exploration, Journal of Entrepreneurship, Business and Economics, 8(2), 36–92.  
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A method for performance diagnosis and evaluation of video trackers
Several measures for evaluating multi-target video trackers exist that generally aim at providing ‘end performance.’ End performance is important particularly for ranking and comparing trackers. However, for a deeper insight into trackers’ performance it would also be desirable to analyze key contributory factors (false positives, false negatives, ID changes) that (implicitly or explicitly) lead to the attainment of a certain end performance. Specifically, this paper proposes a new approach to enable a diagnosis of the performance of multi-target trackers as well as providing a means to determine the end performance to still enable their comparison in a video sequence. Diagnosis involves analyzing probability density functions of false positives, false negatives and ID changes of trackers in a sequence. End performance is obtained in terms of the extracted performance scores related to false positives, false negatives and ID changes. In the experiments, we used four state-of-the-art trackers on challenging real-world public datasets to show the effectiveness of the proposed approach
On new emerging concepts of modeling petroleum digital ecosystems by multidimensional data warehousing and mining approaches
Petroleum system and its ingredients are narrated for each and every oil and gas field in each and everypetroleum-bearing sedimentary basin. A new concept of ecosystem and its digitization are emerging within the generic petroleum system. Significance of this concept is to make connectivity among petroleum systems through attributes of ingredients and their contextualization and specification. Most popularly known ingredients are geological structure, reservoir, source and seal rocks. Other ingredients involved are in the form of process of these ingredients such as maturation (of source rocks) and migration and timing (of formation of structure, reservoir and seal rocks). One can notice the connectivity among primary petroleum system ingredients, through different processes, such as maturation of source rocks and charging capability and migration of hydrocarbons into suitablestructural (structure) entrapment areas of reservoir. Unless the phenomenon of interconnectivity is understood; integration between ingredients and processes in the context of digital representation and visualization, petroleum system existence and its survival cannot be well explained. Its value cannot beadded in terms of petroleum accumulations and volumes, unless these phenomena are explicit. Authors propose ontology based data warehousing and data mining technologies, in which, conceptualization and contextualization of multiple data dimensions (petroleum system?s ingredients and processes), integration (within data warehouse environment) and data mining of interpretable emerging petroleum digital ecosystems are accomplished. Multidimensional data warehousingand mining facilitate an effective interpretation of petroleum systems, minimizing the ambiguities involved during structure and reservoir qualifications and quantifications
Towards the Formulation of a Unified Data Mining Theory, Implemented by Means of Multiagent Systems (MASs)
Comparative study for salt stress among seed, root stock and direct regenerated violet (Viola odorata L.) seedlings in relation to growth, ion contents and enzyme activities
The experiments were carried out to evaluate the comparative study for salt stress among seed, root stock and direct regenerated violet (Viola odorata L.) seedlings. Violet seedlings propagated through tissue culture (direct regeneration) had significantly higher salicylic acid (SA) concentrations from seed and rootstock propagated plants. Random amplified polymorphic DNA (RAPD) studies prior to the salt treatments revealed that genetic similarity at the molecular level among seed, root stock and direct regenerated violet seedlings was 50.9 to 70.5%. NaCl applications (50 mol m–3) reduced plant and root lengths, plant fresh and dry weights in plants obtained through seeds and rootstock as compared to direct regenerated seedlings. Direct regenerated violet showed better plant growth significantly both in saline and non-saline conditions. Seedlings raised through direct regeneration strongly inhibited accumulation of Na+, K+, Ca2+ and Cl− and organic solute accumulations as glycinebetaine (GB) and root total soluble carbohydrates (TSC) but stimulated N and relative water contents (RWC). Direct regenerated seedlings showed an enhanced catalase (CAT), ascorbate peroxidase (APX) and guaiacol dependent peroxidase (GDP) activities as compared to seed and root stock propagated plants. It was concluded that direct regenerated plants had better performance under salt stress in relation to growth and ion accumulations as compared to seed and root stock propagated violet seedlings. This might be due to higher SA concentrations in direct regenerated seedlings which resulted from somaclonal variations or growth media applied during tissue culture technique
Relay intercropping improves growth and fiber quality of Bt Cotton
The optimal time of wheat harvest is the second fortnight of April, while Bt cotton is sown in March in cotton-based cropping systems of Pakistan. There is a time conflict of four to six weeks between harvesting of wheat and sowing of Bt cotton. Relay-intercropping of cotton in wheat crop near to maturity could help to resolve the conflict. The information regarding the effect of relay-intercropping on growth and quality of cotton is scanty. This two-year study compared the growth and fiber quality of relay-intercropped Bt cotton (sown in early/late March) in standing wheat crop with conventionally-tilled (CT) cotton planted after wheat harvest in late April. The relay-intercropped cotton was sown on ridges/beds in wheat, whereas CT cotton was sown after wheat harvest in late April or sown on fallow land in early or late March at Multan and Vehari sites. The CT Bt cotton grown on fallow land in early March had the best performance as indicated by plant growth and fiber quality. However, the relay-intercropped Bt cotton in bed-sown wheat had better growth and fiber quality than the CT cotton planted after wheat harvest in late April. At both sites, the taller plants and higher biomass production were recorded in relay-intercropped Bt cotton in bed-sown wheat in early March as compared with the CT cotton sown after harvest of flat-sown wheat in late April. Fiber firmness, its uniformity, length and strength were also improved in the relay-intercropped Bt cotton in bed-sown wheat in early March as compared to CT cotton sown after wheat harvest in late April. In conclusion, relay intercropping of Bt cotton in the standing wheat during early March improved plant growth and fiber quality in cotton-wheat cropping system
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