Black chromatin is indispensable for accurate simulations of Drosophila melanogaster chromatin structure.

The interphase chromatin structure is extremely complex, precise and dynamic. Experimental methods can only show the frequency of interaction of the various parts of the chromatin. Therefore, it is extremely important to develop theoretical methods to predict the chromatin structure. In this publication, we describe the necessary factors for the effective modeling of the chromatin structure in Drosophila melanogaster. We also compared Monte Carlo with Molecular Dynamic methods. We showed that incorporating black, non-reactive chromatin is necessary for successfully prediction of chromatin structure, while the loop extrusion model or using Hi-C data as input are not essential for the basic structure reconstruction.

Stage direction as a phenomenon of theater of the XXI century

The purpose of the article. The research is connected with the process of assimilation of theatrical direction with the profession of stage designer as a determining trend in the development of modern theater. The methodology is based on the use of comparative, historical, and dynamic methods. This methodological approach allows us to analyze the formation of scenographic direction in time, as well as to highlight the algorithm for the birth of a scenographic image by the director of the performance. The scientific novelty of the work lies in the expansion of ideas about the evolution of directing as a profession towards the profession of a stage designer and about the emergence of a stage mix “stage design direction”. Conclusions. Scenographic direction as a product of the historical evolution of director's art has significantly enriched the figurative philosophical and spectacular components of the theatrical work. At the same time, there is a dynamic tendency of a certain release of the director from the captivity of the playwright, the conquest of the author's text by the director's concept of the performance. The study of the phenomenon of the formation of "scenographic directing" will contribute to the improvement of theatrical education, the correction of educational programs of theatrical educational institutions, taking into account modern trends in the development of the art of directing.

The gas flow pattern through small size Resistive Plate Chambers with 2 mm gap

A prototype of a single-gap glass Resistive Plate Chamber (RPC) is constructed by the authors. To find the requirements for better operation of the detector's gas system, we have simulated the flow of the Argon gas through the detector by using computational fluid dynamic methods. Simulations show that the pressure inside the chamber linearly depends on the gas flow rate and the chamber's output hose length. The simulation results were compatible with experiments. We have found that the pressure-driven speed of the gas molecules is two orders of magnitude larger in the inlet and outlet regions than the blocked corners of a 14 × 14 cm2 chamber, and most likely the difference in speed is higher for larger detectors and different geometries.

Scenario model to forecast behavior of intrusive plant communities in response to control effects in arid agriculture

The presence of large areas of anthropogenic transformation of plant communities with a potentially negative impact on adjacent territories makes it relevant to develop various methods for automated monitoring and modeling of processes occurring in these ecosystems. Based on the results of previous studies of phytocoenoses, the authors selected four groups of indicators for constructing a scenario model: integral characteristics of intrusive plant communities (IPC), including those obtained by using remote dynamic methods; integral indicators of the negative impact of IPC on the adjacent agro-ecosystem; indicators of the distribution of mobile forms of trace elements in the soil; and indicators of soil microbiota. As the result, a hypothetical formula is obtained that allows, with minimal impact on the biosystem of technogenic IPC, to sufficiently reduce its adverse impact on the adjacent agro-ecosystem. Further refinement and dissemination of the scenario model and its connection to databases on plant communities will automatically change the values of the coefficients in the solving equations, thereby providing the most accurate and reliable forecast of the response of agro-ecosystems to various control actions.

Investigating the Selective Control of Photoassociation of Yb2

The selective control of photoassociation of Yb2 is investigated in theory. Based on ab initio to rationalize Franck–Condon filtering, the optimal target states of photoassociation have been obtained. The corresponding vibrational transitions from X1Σ+g to the excited state (A1Σu+, B1Πu, C1Σu+, and D1Πu) are v ′ = 23, 50, 55, and 0, respectively. By using quantum wave packet dynamic methods, we calculated the yields with time evaluation for the selected target states. The projections of time-dependent wave functions of initial states on the target vibrational eigenstates reflected the synthetic yields of Yb2. For target A1Σu+, we used Gaussian pulse to make the yield of v ′ = 23 up to 97% at 725 fs. After a laser pulse, the positive chirp promoted the yield of vibrational states to increase, but the negative chirp inhibited its decrease. For the D1Πu state, when laser intensity is 1.0 × 1014 W/cm2, the purity and yield of target state v ′ = 0 reached the maximum at 1350 fs. That is to say, changing the laser parameters and pulse shapes could control the photochemical reaction along our desired direction. These conditions will provide an important reference and suggest a scheme for a feasible photoassociation of further experimental and theoretical research studies. Current study may promote an important step toward the realization of highly accurate quantum manipulation and material synthesis.

The Impact and Efficiency of Electronic Libraries In Various Districts of Punjab, Pakistan

The present research study is conducted with the aim to assess and analyze the impact of electronic libraries (EL) by using usability criteria which include consistency, efficiency, learning and satisfaction in digital learning and reading stimulus among the general public and youth in specific. The structural equation modeling (SEM) of variables like effectiveness (EEF), efficiency (EFT), learning ability (LER) and performance & satisfaction (PES) was followed by research design. Survey was conducted in divisional headquarters of the Punjab province to collect data. The population was N=270 persons from 9 out of 20 districts having EL facilities. The findings revealed that E-Libraries have a positive correlation between productivity, effectiveness, learning and success. Performance, efficacy and learning capacity had a substantial and positive influence on user’s satisfaction. The study found that the provision of a conducive atmosphere that ensures productivity, effectiveness and learning capacity plays a vital role in enhancing performance of EL. It is proposed that we follow more efficient and dynamic methods in order to support the concept of EL for promotion of culture of digital learning philosophy among the public.

Prediction of Epilepsy Based on Tensor Decomposition and Functional Brain Network

Epilepsy is a chronic neurological disorder which can affect 65 million patients worldwide. Recently, network based analyses have been of great help in the investigation of seizures. Now graph theory is commonly applied to analyze functional brain networks, but functional brain networks are dynamic. Methods based on graph theory find it difficult to reflect the dynamic changes of functional brain network. In this paper, an approach to extracting features from brain functional networks is presented. Dynamic functional brain networks can be obtained by stacking multiple functional brain networks on the time axis. Then, a tensor decomposition method is used to extract features, and an ELM classifier is introduced to complete epilepsy prediction. In the prediction of epilepsy, the accuracy and F1 score of the feature extracted by tensor decomposition are higher than the degree and clustering coefficient. The features extracted from the dynamic functional brain network by tensor decomposition show better and more comprehensive performance than degree and clustering coefficient in epilepsy prediction.