P300 Brain–Computer Interface-Based Drone Control in Virtual and Augmented Reality

Since the emergence of head-mounted displays (HMDs), researchers have attempted to introduce virtual and augmented reality (VR, AR) in brain–computer interface (BCI) studies. However, there is a lack of studies that incorporate both AR and VR to compare the performance in the two environments. Therefore, it is necessary to develop a BCI application that can be used in both VR and AR to allow BCI performance to be compared in the two environments. In this study, we developed an opensource-based drone control application using P300-based BCI, which can be used in both VR and AR. Twenty healthy subjects participated in the experiment with this application. They were asked to control the drone in two environments and filled out questionnaires before and after the experiment. We found no significant (p > 0.05) difference in online performance (classification accuracy and amplitude/latency of P300 component) and user experience (satisfaction about time length, program, environment, interest, difficulty, immersion, and feeling of self-control) between VR and AR. This indicates that the P300 BCI paradigm is relatively reliable and may work well in various situations.

AMMI Appended with BLUP to Assess the Superiority of Hullness Barley Genotypes Evaluated under Coordinated System of the Country

Highly significant effects of environments (E), G×E interaction and genotypes (G) had expressed by AMMI analysis for hulless barley genotypes under coordinated barley improvement program. Environment effects explained 69.9% and 59.7% whereas Interaction effects accounted for 17% and 20.9% during cropping seasons of 2018-19 and 2019-20, respectively. Stability measure WAASB based on all significant interaction principal components ranked suitability of DWRB204, K1149 genotypes. Superiority index while weighting 0.65 and 0.35 for mean yield & stability ranked DWRB204, Karan 16 as of stable performance with high yield barley genotypes. Ranks as per composite measures MASV1 and MASV found NDB943, KB1750 as desirable genotypes. Lower values ASTAB measure achieved by Karan 16, NDB943. Biplot graphical analysis as per 40.4% of variation of the measures exhibited MASV1 clubbed with ASTAB, EV, SIPC, Za, W6, WAASB and MASV measures. Measure IPCA1 clubbed with SI corresponding yield based. W2, W3, W4 measures observed in different group. For the second-year lower value of WAASB measure had observed for PL891, KB1843, NDB943. Ranking of genotypes as per Superiority index found Karan16, UPB1086 as of stable performance with high yield. MASV1 and MASV identified Karan16, DWRB216 genotypes of choice for these locations. Barley genotypes Karan16, DWRB216 were selected as per values of ASTAB measure accounted AMMI analysis with BLUP of genotypes yield values. About 78.1% of variation of the measures under biplot analysis observed MASV1 grouped with ASTAB, EV, SIPC, and MASV. While Za joined together with W2, W3, W4, W5, W6, WAASB to form separate group.

TOPONYM COMPLEX STUDY ENVIRONMENT MULTI-SHEET PLAN OF GIVING XIX V. OF VETLUZHSKY DISTRICT KOSTROMA PROVINCE

Предложена информационная и программная среда исследования комплекса топонимов многолистного плана дач на примере сел Новоуспенского и Хмелевицкого Ветлужского уезда Костромской губернии. Основой информационной среды является электронная карта объединения листов плана дач и геокодированные списки топонимов: населенные места, урочища, гидрография и другие. Основой программной среды является библиотека LeafLet на языке программирования JavaScript. Предложенная среда ориентирована на использование Интернета. Подход может быть использован для большого количества аналогичных многолистных планов дач XIX в. The information and program environment of the study of the toponyms of the multi-leaf summer cottages is proposed using the example of giving of the villages of Novouspen and Khmelevitsky Vetluzhsky district of Kostroma province. The basis of the information environment is an electronic map of combining sheets of the summer cottages plan and geocoded lists of toponyms: settlements, lessons, hydrography and others. The basis of the software environment is the library LeafLet in the programming language JavaScript. The proposed environment is focused on the use of the Internet. The approach can be used for a large number of similar multi-leaf cottage plans of the XIX century.

Impact of Increased Travel Speed of a Transportation Set on the Dynamic Parameters of a Mine Suspended Monorail

The method of increasing the efficiency of using one of the most common means of auxiliary transport in underground coal mines—suspended monorails—is presented. Increase of velocity is one of the key parameters to improve the efficiency and economical effect related with the underground auxiliary transport. On the other hand, increasing the velocity results in bigger value of force acting on the suspended monorail route and its suspensions. The most important issue during increasing the velocity is ensuring the required safety for the passengers and not overloading the infrastructure. In order to analyze how increasing velocity influences the level of loads of the route suspension and the steel arch loads, the computational model of suspended monorail was developed. The computational model included both the physical part (embedded in the program environment based on the Multi-Body System method) and the components of the monorail control system. Two independent software environments were cooperating with each other through the so-called co-simulation. This model was validated on the base of results obtained on the test stand. Then, the numerical simulations of emergency braking with different values of velocity were conducted, which was not possible with the use of physical objects. The presented study can be used by the suspended monorail’s producers during the designing process, and leads to increase the safety on underground transportation routes.

Qualitative Methods in Health Policy and Systems Research: A Framework for Study Planning

Qualitative methodologies and methods are commonly used in health policy and systems research but have not been extensively characterized. We describe how qualitative approaches are used within the field and present a framework to aid researchers in study planning. To achieve these aims, we conducted a scoping literature review of 1 year of selected health policy and systems research and then coded publications based on their primary analytical foci. Four core themes emerged: policy or program content, an analysis of the substance of policies or program documents; policy or program environment, a study of the landscape of policies or programs; policy or program implementation, a study of the planned or actual execution of a policy or program; and organization or system operations, a study of the structure or function of health organizations or systems. We provide guidance on utilizing the framework and adhering to qualitative best practices during the process.