scholarly journals Statistical reproducibility for pairwise t-tests in pharmaceutical research

2021 ◽  
pp. 096228022110417
Author(s):  
Andrea Simkus ◽  
Frank PA Coolen ◽  
Tahani Coolen-Maturi ◽  
Natasha A Karp ◽  
Claus Bendtsen
Keyword(s):  
Pharmaceutical Research ◽  
Real Life ◽  
Pairwise Comparisons ◽  
Predictive Inference ◽  
Final Decision ◽  
Test Statistics ◽  
Inference Problem ◽  
Nonparametric Predictive Inference ◽  
Alternative Hypotheses ◽  
The Relationship

This paper investigates statistical reproducibility of the [Formula: see text]-test. We formulate reproducibility as a predictive inference problem and apply the nonparametric predictive inference method. Within our research framework, statistical reproducibility provides inference on the probability that the same test outcome would be reached, if the test were repeated under identical conditions. We present an nonparametric predictive inference algorithm to calculate the reproducibility of the [Formula: see text]-test and then use simulations to explore the reproducibility both under the null and alternative hypotheses. We then apply nonparametric predictive inference reproducibility to a real-life scenario of a preclinical experiment, which involves multiple pairwise comparisons of test groups, where different groups are given a different concentration of a drug. The aim of the experiment is to decide the concentration of the drug which is most effective. In both simulations and the application scenario, we study the relationship between reproducibility and two test statistics, the Cohen’s [Formula: see text] and the [Formula: see text]-value. We also compare the reproducibility of the [Formula: see text]-test with the reproducibility of the Wilcoxon Mann–Whitney test. Finally, we examine reproducibility for the final decision of choosing a particular dose in the multiple pairwise comparisons scenario. This paper presents advances on the topic of test reproducibility with relevance for tests used in pharmaceutical research.

The Relationship between the Development of Human Capital and the Agricultural Economy in Rural Areas

2020 ◽  
pp. 61-65
Author(s):  
B.A. Voronin ◽  
◽  
I.P. Chupina ◽  
Ya.V. Voronina ◽  
◽  
...  
Keyword(s):  
Human Capital ◽  
Rural Areas ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Real Life ◽  
Standard View ◽  
Household Factors ◽  
Economic Transformations ◽  
The Relationship

The article discusses a non-standard view of the formation of human capital for work in organizations of the agricultural sector of the economy, in the context of modern socio-economic transformations. In the classical sense, human capital for agriculture should be formed and developed in rural areas. But in real life, this is not always the case, because there are many factors that prevent the classical solution of this problem. First, the demographic factor affects, second, social and household factors, and third, in many rural areas there are no working agricultural organizations where qualified agricultural specialists can work. All these and other circumstances actualize the problem of the quality of human capital in rural areas in relation to the development of agricultural production.

scholarly journals Approximate Bayesian Computation for Discrete Spaces

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 312
Author(s):  
Ilze A. Auzina ◽  
Jakub M. Tomczak
Keyword(s):  
Approximate Bayesian Computation ◽  
Likelihood Function ◽  
Real Life ◽  
Random Variables ◽  
Bayesian Computation ◽  
Inference Problem ◽  
Markov Kernel ◽  
Inference Problems ◽  
Binary Neural Network ◽  
Approximate Bayesian

Many real-life processes are black-box problems, i.e., the internal workings are inaccessible or a closed-form mathematical expression of the likelihood function cannot be defined. For continuous random variables, likelihood-free inference problems can be solved via Approximate Bayesian Computation (ABC). However, an optimal alternative for discrete random variables is yet to be formulated. Here, we aim to fill this research gap. We propose an adjusted population-based MCMC ABC method by re-defining the standard ABC parameters to discrete ones and by introducing a novel Markov kernel that is inspired by differential evolution. We first assess the proposed Markov kernel on a likelihood-based inference problem, namely discovering the underlying diseases based on a QMR-DTnetwork and, subsequently, the entire method on three likelihood-free inference problems: (i) the QMR-DT network with the unknown likelihood function, (ii) the learning binary neural network, and (iii) neural architecture search. The obtained results indicate the high potential of the proposed framework and the superiority of the new Markov kernel.

scholarly journals Calculators as Facilitators of Understanding Computational and Mathematical Contexts

2019 ◽  
Vol 1 (1) ◽  
pp. 177-183
Author(s):  
Jan Guncaga ◽  
Lilla Korenova ◽  
Jozef Hvorecky
Keyword(s):  
Soft Skills ◽  
Real Life ◽  
Theoretical Background ◽  
Learning Processes ◽  
Complex Phenomenon ◽  
Learning To Learn ◽  
Life Problems ◽  
The Subject ◽  
The Relationship

AbstractLearning is a complex phenomenon. Contemporary theories of education underline active participation of learners in their learning processes. One of the key arguments supporting this approach is the learner’s simultaneous and unconscious development of their ability of “learning to learn”. This ability belongs to the soft skills highly valued by employers today.For Mathematics Education, it means that teachers have to go beyond making calculations and memorizing formulas. We have to teach the subject in its social context. When the students start understanding the relationship between real-life problems and the role of numbers and formulas for their solutions, their learning becomes a part of their tacit knowledge. Below we explain the theoretical background of our approach and provide examples of such activities.

scholarly journals Digital Platform Ecosystems as Living Labs for Sustainable Entrepreneurship and Innovation: A Conceptual Model Proposal

2021 ◽  
Vol 13 (11) ◽  
pp. 6494
Author(s):  
Grzegorz Baran ◽  
Aleksandra Berkowicz
Keyword(s):  
Conceptual Model ◽  
Real Life ◽  
The Body ◽  
Innovation Development ◽  
Sustainable Entrepreneurship ◽  
Digital Platforms ◽  
Digital Platform ◽  
Living Labs ◽  
Platform Ecosystems ◽  
The Relationship

The main idea of the paper is to combine modern research methods (as living labs that enable research in a real-life setting) with the new technological opportunities for entrepreneurship and innovation development (as digital platforms) to search for innovative solutions, while addressing the sustainable development problems. Thus, the paper aims to explain how real value for society is created within digital platform ecosystems and how they employ to this end novel solutions that better address existing social problems. Consequently, it proposes a conceptual framework to research and develop sustainable entrepreneurship and innovation with the use of digital platforms. This research study takes a synthesizing conceptual approach that seeks to integrate the existing knowledge drawn on two major streams of research: living labs as a methodology and digital platform ecosystems to enrich the theory of sustainable entrepreneurship and innovation development. The paper contributes to the body of knowledge by proposing a novel conceptual model of digital platform ecosystems as living labs for sustainable entrepreneurship and innovation. The model depicts digital platform ecosystems examined as living labs and the implicit processes that include platform users in problem-solving and value-creation in real-life settings. The novelty of the model stems from framing these processes that capture the relationship between individuals and opportunities as the foundations of entrepreneurship and the relationship between the problem space and the solution space, where the opportunities occur.

Relational Chase Procedures Interpreted as Resolution with Paramodulation1

1991 ◽  
Vol 15 (2) ◽  
pp. 123-138
Author(s):  
Joachim Biskup ◽  
Bernhard Convent
Keyword(s):  
Alternative Interpretation ◽  
Order Logic ◽  
First Order Logic ◽  
Inference Problem ◽  
First Order ◽  
Inference Problems ◽  
The One ◽  
The Relationship ◽  
Theoretical Foundations ◽  
Insight Into

In this paper the relationship between dependency theory and first-order logic is explored in order to show how relational chase procedures (i.e., algorithms to decide inference problems for dependencies) can be interpreted as clever implementations of well known refutation procedures of first-order logic with resolution and paramodulation. On the one hand this alternative interpretation provides a deeper insight into the theoretical foundations of chase procedures, whereas on the other hand it makes available an already well established theory with a great amount of known results and techniques to be used for further investigations of the inference problem for dependencies. Our presentation is a detailed and careful elaboration of an idea formerly outlined by Grant and Jacobs which up to now seems to be disregarded by the database community although it definitely deserves more attention.

The relationship between 99mTc-HMPAO brain SPECT and the scores of real life rating scale in autistic children

2002 ◽  
Vol 24 (2) ◽  
pp. 77-81 ◽  
Author(s):  
Meryem Kaya ◽  
Serap Karasalihoğlu ◽  
Funda Üstün ◽  
Aziz Gültekin ◽  
Tevfik Fikret Çermik ◽  
...  
Keyword(s):  
Rating Scale ◽  
Real Life ◽  
Brain Spect ◽  
Autistic Children ◽  
The Relationship ◽  
99Mtc Hmpao

scholarly journals The Role of Steps and Game Elements in Gamified Fitness Tracker Apps: A Systematic Review

2021 ◽  
Vol 5 (2) ◽  
pp. 5
Author(s):  
Aatish Neupane ◽  
Derek Hansen ◽  
Jerry Alan Fails ◽  
Anud Sharma
Keyword(s):  
Social Influence ◽  
Design Space ◽  
Real Life ◽  
Network Clustering ◽  
And Performance ◽  
Fitness Tracker ◽  
Game Elements ◽  
The Relationship ◽  
Contingent Rewards

This article reviews 103 gamified fitness tracker apps (Android and iOS) that incorporate step count data into gameplay. Games are labeled with a set of 13 game elements as well as meta-data from the app stores (e.g., avg rating, number of reviews). Network clustering and visualizations are used to identify the relationship between game elements that occur in the same games. A taxonomy of how steps are used as rewards is provided, along with example games. An existing taxonomy of how games use currency is also mapped to step-based games. We show that many games use the triad of Social Influence, Competition, and Challenges, with Social Influence being the most common game element. We also identify holes in the design space, such as games that include a Plot element (e.g., Collaboration and Plot only co-occur in one game). Games that use Real-Life Incentives (e.g., allow you to translate steps into dollars or discounts) were surprisingly common, but relatively simple in their gameplay. We differentiate between task-contingent rewards (including completion-contingent and engagement-contingent) and performance-contingent rewards, illustrating the differences with fitness apps. We also demonstrate the value of treating steps as currency by mapping an existing currency-based taxonomy onto step-based games and providing illustrations of nine different categories.

Study from Korea shows strong CSR policies significantly increase job seekers' application intentions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Real Life ◽  
Value Congruence ◽  
Job Applicants ◽  
Job Seekers ◽  
Content Type ◽  
Mediated Moderation ◽  
Mediating Role ◽  
Corporate Social ◽  
The Relationship

Purpose This study investigated how and when corporate social responsibility (CSR) fosters job seekers’ application intentions. The authors used a “mediated moderation mode” to explore the positive effect of CSR on job seekers’ intention to apply. They considered the moderating role of applicants’ calling and the mediating role of value congruence in the relationship between the person and organization. Design/methodology/approach To test their hypotheses the authors developed a questionnaire and sent it to a sample of 259 college students with a mean age of 22.67 in South Korea. All were either prospective or current job seekers and 55.2pc were female. Two scenarios were developed based on the real-life case of a well-known coffee franchise’s CSR policies. The scenarios were identical except that one had more proactive CSR policies. Findings Results showed that a company’s proactive CSR programs increase job seekers’ intention to apply, which was moderated by their “calling” for the job. The research also demonstrated that “value congruence” between the applicant and the organization fully mediated the interaction between CSR and calling. The results, the authors said, suggested that engaging in active CSR could attract job applicants, providing a potential competitive advantage. Originality/value The authors said their study contributed to the literature as it took the job seeker’s perspective whereas most previous research on calling focused on employees. They said it was the first study to empirically demonstrate the interaction between a sense of calling and CSR.

A system of values and economic behaviour models of young entrepreneurs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Svetlana D. Gurieva ◽  
Oksana V. Zashchirinskaia
Keyword(s):  
Real Life ◽  
Statistical Processing ◽  
Economic Education ◽  
Practical Significance ◽  
Russian Society ◽  
Content Type ◽  
Economic Behaviour ◽  
Behaviour Models ◽  
The Relationship ◽  
Young Entrepreneurs

Purpose The purpose of this paper is to investigate the relationship of values with individual economic behaviour, identifies the correlation between personality values that are conditioned upon the culture, and evaluations of economic behaviour situations on the example of Russian culture. Design/methodology/approach This study involved 222 people of Russian nationality, young entrepreneurs employed in the commercial field, developing their own business. The following methods were used in the study: the methodology for measuring the values of an individual and cultural level; Melbourne Decision Making Questionnaire, a scenario methodology for economic behaviour, which is a short behavioural scenario (model of behaviour), taken from real life. The statistical processing of experimental data was carried out using the IBM SPSS Statistics Version 21 software package. Findings The values with correlated progressive and regressive economic forms of behaviour were identified for modern Russian society. The correlation of factors with progressive and regressive economic behaviour was also identified. Practical implications The practical significance of the study lies in the possibility of applying the results obtained not only in the system of economic education but also in programs to support the business activity of young entrepreneurs. Originality/value The value of this study is determined by the fact that it can be placed in a broader context of research into the relationship between the levels of human consciousness and his behaviour.

scholarly journals Investigating the relationship between how a chief complaint is expressed and the patient workflow

2020 ◽  
Vol 6 (2) ◽  
pp. 63-67
Author(s):  
Sajjad Ahmadi ◽  
Niloufar Pouresmaeil ◽  
Farima Najjarian ◽  
Samad Shams Vahdati ◽  
Maryam Rahimpour Asenjan ◽  
...  
Keyword(s):  
Emergency Department ◽  
Emergency Room ◽  
Emergency Departments ◽  
Descriptive Analysis ◽  
Critical Role ◽  
Kidney Injury ◽  
Chief Complaint ◽  
Final Decision ◽  
Bloody Stool ◽  
The Relationship

Objective: Emergency departments and hospital emergency departments are important due to their critical role in providing urgent medical care to patients in dire need of medical interventions. Checking bottlenecks in new conditions and planning to reduce bed occupancy and hospitalization is needed. The purpose of this study is to investigate the relationship between the patient’s chief complaint and their departure to the emergency room. Methods: From non-traumatic patients referred to the emergency department of Imam Reza Hospital during 2018, about 57000 patients were selected and enrolled in the study. Then, age, sex, initial diagnosis, time of the final decision, and time of departure from the emergency department as well as hospitalization ward were included in the checklist. Patients whose documentation was incomplete were excluded. Data were entered into SPSS software version 15.0 and descriptive statistics (normal distribution, average of time, minimum time and maximum time, confidence interval, mode, and median, etc) were used for descriptive analysis and linear regression was used to analyze the correlation among findings. Results: There was a significant relationship between chief complaint and the length of stay in the emergency department (P = 0.046) and patients with dyspnea due to heart disease, bloody vomit, bloody stool, constipation, jaundice, anemia, decreased level of consciousness, diabetes, complications of diabetes, shortness of breath and kidney injury stayed longer in the emergency room compared to other complaints. Conclusion: The patient’s manner of expressing and chief complaint has an impact on the length of time they wait to leave the emergency room. Also, most patients with problems related to internal medicine have the longest time in the emergency room; in particular gastrointestinal patients have the longest stay in the emergency room.

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