Validation of microscopic magnetochiral dichroism theory

Magnetochiral dichroism (MChD), a fascinating manifestation of the light-matter interaction characteristic for chiral systems under magnetic fields, has become a well-established optical phenomenon reported for many different materials. However, its interpretation remains essentially phenomenological and qualitative, because the existing microscopic theory has not been quantitatively confirmed by confronting calculations based on this theory with experimental data. Here, we report the experimental low-temperature MChD spectra of two archetypal chiral paramagnetic crystals taken as model systems, tris(1,2-diaminoethane)nickel(II) and cobalt(II) nitrate, for light propagating parallel or perpendicular to the c axis of the crystals, and the calculation of the MChD spectra for the Ni(II) derivative by state-of-the-art quantum chemical calculations. By incorporating vibronic coupling, we find good agreement between experiment and theory, which opens the way for MChD to develop into a powerful chiral spectroscopic tool and provide fundamental insights for the chemical design of new magnetochiral materials for technological applications.

Information and communication technologies in the process of forming media behavior of modern Russian youth

The presented work examines the features of modern Russian youth and their media behavior in the context of the spread of COVID-19, which contributed to the more active use of information and communication technologies (ICT) in their daily life. Based on the results of sociological and marketing research, the article examines the most popular information and communication technologies and solutions that contribute to the most effective remote interpersonal and social interaction characteristic of modern Russian youth, examines its features as representatives of generation Z.

Discovering Sentimental Interaction via Graph Convolutional Network for Visual Sentiment Prediction

With the popularity of online opinion expressing, automatic sentiment analysis of images has gained considerable attention. Most methods focus on effectively extracting the sentimental features of images, such as enhancing local features through saliency detection or instance segmentation tools. However, as a high-level abstraction, the sentiment is difficult to accurately capture with the visual element because of the “affective gap”. Previous works have overlooked the contribution of the interaction among objects to the image sentiment. We aim to utilize interactive characteristics of objects in the sentimental space, inspired by human sentimental principles that each object contributes to the sentiment. To achieve this goal, we propose a framework to leverage the sentimental interaction characteristic based on a Graph Convolutional Network (GCN). We first utilize an off-the-shelf tool to recognize objects and build a graph over them. Visual features represent nodes, and the emotional distances between objects act as edges. Then, we employ GCNs to obtain the interaction features among objects, which are fused with the CNN output of the whole image to predict the final results. Experimental results show that our method exceeds the state-of-the-art algorithm. Demonstrating that the rational use of interaction features can improve performance for sentiment analysis.

2D Material-based Quantum Logic Gate Operating Via Self-Organization of Quantum Dots

In the paper, nanotrigger-based electronic device, capable of performing the quantum computation procedure, is described. The device represents a quantum logic gate formed from a two-dimensional material and controlled by a quantum dot. The operation of the quantum dot is analyzed. In the model representation, the transition between two states of the quantum dot, each of which controls the flow of the nanotransistor current (one of the shoulders of the nanotrigger), is equivalent to tunneling through an energy barrier separating the states. Fundamentally important is the fact that in one of these states the quantum dot is diamagnetic, and in the other it is paramagnetic. The paramagnetism of the quantum dot is due to the electronic exchange interaction, characteristic of the systems with unpaired electrons. Thus, the elementary self-organized 2D-material-derived logic gate disclosed in the present work can be employed for design of an electronic reversible unit.In other words, such a unit is able to prepare and to trigger the computation procedure.

An investigation of impact-sliding behavior and fretting wear of tubes against different supports in steam generators

Purpose The purpose of this study is to reveal the interaction behavior between tubes and supports in steam generators and study the fretting wear of tubes in different load conditions. Design/methodology/approach The fretting wear tests were conducted to investigate the fretting wear behavior of the tubes against three kinds of supports: the drilled circular holes (DCH), anti-vibration bars (AVBs) and trefoil orifice holes (TOH), which are widely used supports in nuclear steam generators. In this paper, the comparison of the interaction characteristic with different impact factors was established such as clearances and loads in the three kinds of supports. The fretting wear volume and scars were analyzed by a scanning electron microscope and 3D profiler. Findings The results show that impact can play a more important role in the DCH and TOH supports than that in AVBs. The normal work rate can be underestimated in the DCH and TOH supports. Originality/value The results of this study can be reference of fretting wear calculation in the design of steam generators with different kinds of supports and can be guidance in the maintenance of steam generators. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2019-0513/

Network Analysis, and Experimental Validation to Uncover the Mechanism of the Four Compounds in Artemisia annua (Qing Hao) Antimalarial

Background: Artemisinin is widely used to anti malaria, but the antimalaria mechanism and coordinative interaction of Artemisinin, Scopoletin, Arteannuin B and Artemisic acid are not clear.Methods: Based on the existing of antimalarial drugs, the antimalaria targets of Artemisinin, Scopoletin, Arteannuin B and Artemisic acid were explored by molecular docking with the similarity theory of chemical structure, and then the antimalaria mechanism of Scopoletin and its coordinative antimalaria interaction of the mixture with the three other ingredients.Results: Then through using the text information excavation’s method, the relevance proteins of antimalaria effect of Artemisinin were IL-6, ACHE, PC3, IPOB, CYC, TNF-α, UGT1A9, CASP3, XDH, IL-1β, VEGF, CAT, CREB, AMPK, UGT1A6, ADR, MAPK, COX2, LB24AB and CYP450. Meanwhile, the relevance proteins of Scopoletin were TNF-α, PI3K, IL-8, IL- 6, VEGF, IL-1β, MAPK, CD4, SP2, CTNNB, CASP3, PRO1400, IgE, IL-4, ICAM1, p38, STAT3, TLR4 and API4. But Arteannuin B and Artemisic acid had a little relevance with the above proteins. The interaction characteristic between TNF-α and Artemisia annua was the effect of the mixture of Artemisinin, Scopoletin, Arteannuin B and Artemisic acid was greater than Artemisinin, and the synergistic effect of the four elements was found in the progress of antimalaria.Conclusion: Antimalarial target of Artemisia annua ingredients was explored with data mining methods, and the antimalarial effect of Scopoletin may be related to TNF. Combined application of the four elements could achieve the same antimalarial effect and reduce the clinical usage of Artemisinin and Scopoletin.

Módulo educativo em ambiente virtual de aprendizagem em Diabetes Mellitus

Introducción: Los profesionales de enfermería necesitan ser capacitados y cualificados para atender a las personas con diabetes y uno de los aspectos considerado como fundamental para esa capacitación es el conocimiento de los recursos tecnológicos indicados para el desarrollo del proceso de enseñanza-aprendizaje, como informática, internet, hipermedia, multimedia, y las diversas herramientas de interacción y comunicación.Objetivos: Los objetivos de este estudio fueron desarrollar un módulo educativo sobre pie diabético en Ambiente Virtual de Aprendizaje - AVA en la plataforma Moodle para estudiantes de enfermería y someter el programa a la evaluación de los alumnos. Método: Se trata de un estudio descriptivo transversal, realizado con 31 estudiantes. El módulo educativo fue desarrollado como curso distribuido en cuatro capítulos versando sobre pie diabético. Después del curso los alumnos evaluaron el módulo utilizando instrumento validado conteniendo aspectos pedagógicos (contenido, interacción y actividades) y aspecto técnico (calidad de la interfaz) del AVA. Resultados: Las características obtenidas consideradas como favorables al aprendizaje fueron "contenido" (91,6%), "actividades" (85,8%) y "calidad de la interfaz" (89,7%). La característica "interacción" fue la que obtuvo menor índice (52,7%). Conclusión: Considerando la mayoría de las características evaluadas, concluimos que Moodle se mostró una herramienta eficaz de enseñanza. En cuanto a la característica "interacción", es necesario perfeccionar las cuestiones que afectan a las actividades programadas, estas son el foro y chat para propiciar una mayor relación entre los participantes. Introduction: Nursing professionals need to be trained and qualified to care for people with diabetes, where one of the aspects considered as fundamental for this training is the knowledge of the technological resources indicated for the development of the teaching-learning process, such as computer science, internet, hypermedia, multimedia, besides the various tools of interaction and communication.Objective: The objectives of this study were to develop an educational module about diabetic foot in a Virtual Learning Environment – VLE in the Moodle platform for nursing students and to submit the program to the evaluation of the students. Method: It is a cross-sectional descriptive study, carried out with 31 students. The educational module was developed as a course distributed in four chapters dealing with diabetic foot. After the course, the students evaluated the module using a validated instrument containing pedagogical aspects (content, interaction and activities) and technical aspect (interface quality) of VLE. Results: The characteristics that were considered favorable to learning were “content” (91.6%), “activities” (85.8%) and “interface quality” (89.7%). The “interaction” characteristic was the one that obtained the lowest rate (52.7%). Conclusion: By considering most of the evaluated characteristics, we conclude that Moodle has proved to be an effective teaching tool. Regarding the “interaction” characteristic, it is necessary to improve the questions that involve the scheduled activities, such as forum and chat, in order to provide a greater relationship among the participants.

Network Analysis, and Experimental Validation to Uncover the Mechanism of the Four Compounds in Artemisia annua (Qing Hao) Antimalarial

Background: Artemisinin is widely used to anti malaria, but the antimalaria mechanism and coordinative interaction of Artemisinin, Scopoletin, Arteannuin B and Artemisic acid are not clear. Methods: Based on the existing of antimalarial drugs, the antimalaria targets of Artemisinin, Scopoletin, Arteannuin B and Artemisic acid were explored by molecular docking with the similarity theory of chemical structure, and then the the antimalaria mechanism of Scopoletin and its coordinative antimalaria interaction of the mixture with the three other ingredients. Results: Then through using the text information excavation's method, the relevance proteins of antimalaria effect of Artemisinin were IL-6, ACHE, PC3, IPOB, CYC, TNF-α, UGT1A9, CASP3, XDH, IL-1β, VEGF, CAT, CREB, AMPK, UGT1A6, ADR, MAPK, COX2, LB24AB and CYP450. Meanwhile, the relevance proteins of Scopoletin were TNF-α, PI3K, IL-8, IL- 6, VEGF, IL-1β, MAPK, CD4, SP2, CTNNB, CASP3, PRO1400, IgE, IL-4, ICAM1, p38, STAT3, TLR4 and API4. But Arteannuin B and Artemisic acid had a little relevance with the above proteins. The interaction characteristic between TNF-a and Artemisia annua was the effect of the mixture of Artemisinin, Scopoletin, Arteannuin B and Artemisic acid was greater than Artemisinin, and the synergistic effect of the four elements was found in the progress of antimalaria. Conclusion: Antimalarial target of Artemisia annua ingredients was explored with data mining methods, and the antimalarial effect of Scopoletin may be related to TNF. Combined application of the four elements could achieve the same antimalarial effect and reduce the clinical usage of Artemisinin and Scopoletin.