The data consist of an application, namely PyFEST, written in Python language, and a file with instructions to install and use the application. It can be used to estimate the frequencies of short-time signals with high accuracy. Along with the application, examples with generated signal (single-ton, multi-tone, noisy, damped etc.) and measured signals are delivered for testing purposes.
The frequencies of the harmonic components are evaluated one-by-one with high accuracy. Because the actions performed do not imply previous expertise, the results are not influenced by human intervention.
The presence of stroke is being observed in young adults (under 50 years of age) without cardiovascular risk factors suffering from COVID-19. It is speculated whether there is really a significant increase, as few cases have yet been described, or whether the infection actually favors their development. Cerebrovascular events were more common in older patients with stroke risk factors such as hypertension and diabetes mellitus, and those who had elevated fibrin D-dimers. Multiple cases reports and series about cerebrovascular disease in COVID-19 has been informed. The mechanism that causes cerebral ischemia in COVID-19 remains undiscovered, however, progressively there is increasing evidence of a hypercoagulable state that could be or contribute to the cause of cerebrovascular disease. We review the current literature about cerebrovascular disease, both epidemiology and etiology. More studies are needed to understand COVID-19 neuropathogenesis and the presence of stroke in this patient.
Here, we proposed a six-dimensional semantic framework for outdoor thermal comfort assessments comprising four descriptive - ‘thermal sensation’, ‘humidity’, ‘wind’ and ‘solar radiation,’ plus two affective - ‘thermal pleasure’ and ‘thermal intensity’ dimensions. In Phase 1 an online questionnaire recruited 135 native English-speakers to place 76 climatic adjectives into this six-dimensional semantic space. Phase 2 launched a field study with another 22 subjects locating real-time
outdoor thermal experiences in the same semantic space. They were then asked to select from a subset of the 76 climatic adjectives those that best described their right here- right-now thermal experience. Validation was then performed by comparing coordinates of the 31 most frequently chosen adjectives in Phase 2 with those assigned to them in Phase 1. Good correlations (R2 > 0.65) of adjectives’ coordinates
between the two research phases indicate consistency regarding which adjectives best describe specific scenarios, regardless of seasons, locations, or current exposures.
In this database, we uploaded the average adjectives' scores achieved in the online questionnaire and the Retrieval process of the 10 most likely climatic adjectives to describe the thermal feelings based on the right-here-right-now thermal experience.
Contributors:Chukwuemeka Onyimadu, Sylvia Nwakaego Onyekachi, Francis Onyedibe
The paper focuses on the increasing incidence of working poor families in Nigeria. Data from the ILO and NBS suggest that, not only is the number of working poor families in Nigeria increasing, it is increasing despite governments efforts at increasing the number of jobs created through the National Economic Recovery Growth Plan (ERGP). This point to the assertion that, removing working poor families out of poverty will not solely depend on their being employed. The paper uses data from Nigeria’s General Household Survey (2018/2019 to characterize inducing factors of working poor families in Nigeria. The estimated results suggest that female – headed households, polygamous and divorced households, individuals who have never been married, size of employment establishment, and household expenditures, are inducing factors of the increase in working poor families in Nigeria. We recommend the supplementing of working poor families incomes through Living wage Laws and the establishment of a Contributory Savings Accounts. Extending health coverage through the establishment of State Health Insurance Schemes and the provision of affordable and quality housing through a state guaranteed Mortgage Schemes.
The maximum distance at which an electromagnetic (EM) logging while drilling (LWD) tool senses an approaching boundary is considered to be the depth of detection (DOD). Achieving a large DOD while keeping the tool itself compact is what we have always pursued. We proposed a novel transient multicomponent EM LWD method and studied its capability in detecting the formation boundary. Instead of using the transient triaxial measured data directly, a time domain detection mode is defined to sense the boundary. DOD of this time domain EM LWD method can reach tens of meters with a compact transmitter-receiver spacing. Based on the polarity of the signal, directional measurements can also be achieved. In addition, we find that the cross component decays much faster than the coaxial or coplanar components with time in the formation coordinate system. Thus, an algebraic method is proposed to determine the relative dip angle of stratified formation and the inversion process can be avoided. Theoretical simulation results indicate that this determination method obtains the true value at some particular moments. And it is still stable and valid even when considering some random measurement errors. Moreover, linear relationship between the distance to the boundary (DTB) and the time we measure it is established, providing a method to quickly determine the DTB.