Basic Actions Research Articles

ДИАГНОСТИКА КОММУНИКАТИВНЫХ УЧЕБНЫХ ДЕЙСТВИЙ ОБУЧАЮЩИХСЯ МЛАДШЕГО ШКОЛЬНОГО ВОЗРАСТА С ЛЕГКОЙ УМСТВЕННОЙ ОТСТАЛОСТЬЮ

Statement of the problem. In terms of the concept of development of education for students with disabilities for the period of 2020-2030 and according to the Federal State Educational Standard for students with intellectual disabilities, the harmonious development of both academic educational results and life competence necessary for a student with special educational needs in various social situations is declared one of the main strategic directions for the development of children of early school age. The Basic Learning Action Program (BLAP), as a structural element of the Federal Standard, does not contradict the indicated idea and aims not only at the formation and development of mentally retarded students, but also at ensuring the conditions for their socialization, including their life competence development. The analysis of educational theory and practice made it possible to distinguish a contradiction between the development of the basic provisions of active and differentiated approaches and the insufficient theoretical development of the criteria and levels of formation of communicative learning activities (CLA) of students of early school age with mild mental retardation in order to form the phenomenon under research. The problem solved in the article is the search for theoretical grounds for revealing the essence, structure of CLA of students of early school age with a mild degree of intellectual disabilities in order to develop the diagnostics of the phenomenon under research. The purpose of the article is to disclose the essence, structure of CLA of students of early school age with mild intellectual disabilities; to identify and characterize formation levels of the investigated phenomenon in order to develop diagnostics of CLA formation in the context of the research subject. Methodology (materials and methods) is based on the active and differentiated approaches to education of students with intellectual disabilities; analysis of official documents, scientific psychological and pedagogical literature on the problem of development of basic learning activities in students with intellectual disabilities. Research results. Based on the analysis of scientific works of Russian and foreign researchers and the regulatory and legal framework, the essence and structure of CLA of students of early school age with mild intellectual disabilities was revealed; minimum evaluation and diagnostic map of formation of the investigated phenomenon has been developed; variable communicative situations in which CLA of students of early school age with mild intellectual disabilities are manifested and formed are identified. Conclusion. The developed diagnosis of CLA of students of primary school age with intellectual disabilities will allow tracking their dynamics and making timely adjustments in the organization and implementation of their formation at the level of primary general education and with appropriate modification actions at subsequent educational levels.

The Teaching Method of Basketball Training Based on Intelligent Network Multimedia Technology

In the traditional sports basketball teaching, people gradually find that the simple use of body language and oral language as the carrier of teaching sports skills and theoretical knowledge has certain limitations. Therefore, we begin to focus on the combination of network multimedia technology (NMT) and basketball training teaching (BTT). This article mainly studies the teaching method of basketball training based on NMT. This article expounds the concept and function of multimedia teaching, puts forward suggestions on BTT methods based on NMT, and studies the making method of multimedia basketball training (MBT) courseware. Through the questionnaire survey and experimental research, this article analyzes the influence of MBT on basketball teaching, the effectiveness of multimedia basketball students’ mastery, the evaluation results of MBT, and the evaluation of experimental group students on MBT. In this study, 100 students were selected as the experimental objects, a group of 50 people for the basic basketball action test, one group had a period of multimedia basketball teaching, and the other group still carried on according to the traditional basketball teaching method. The results show that in the experiment of MBT, the total proportion of the experimental group is 56.61% and the control group is 33.72%; the experimental group is 57.28% and the control group is 42.35%; the experimental group is 63.26% and the control group is 32.79%; and the experimental group is 70.56% and 37% in the control group.

Gymnastics Movement Signs Based on Network Communication and Body Contour Feature Extraction

With the rapid development of computer vision technology, human action recognition technology has occupied an important position in this field. The basic human action recognition system is mainly composed of three parts: moving target detection, feature extraction, and human action recognition. In order to understand the action signs of gymnastics, this article uses network communication and contour feature extraction to extract different morphological features during gymnastics. Then, the finite difference algorithm of edge curvature is used to classify different gymnastic actions and analyze and discuss the Gaussian background. A modular method, an improved hybrid Gaussian modeling method, is proposed, which adaptively selects the number of Gaussian distributions. The research results show that, compared with traditional contour extraction, the resolution of gymnastic motion features extracted through network communication and body contour features is clearer, and the increase rate is more than 30%. Moreover, the method proposed in this paper removes noise in the image extraction process, the effect is good, and the athlete’s action marks are very clear, which can achieve the research goal.

Method proposal for the management of geographic information in water and sewer companies

Geographic information has been used in water and sewage companies and currently has worldwide application, in rich and poor countries, from basic actions such as georeferencing points of interest to cross-referencing complex Enterprise Resource Planning (ERP) and Spatial Data Infrastructures systems together with other public services. But has the creation, use and management of this information been carried out successfully harnessed? Considering the constant changes occurred in Information Technology, in the demography of urban areas, in water and sewage systems and in corporate management, we propose a method for implementing Geographic Information Systems (GIS) for water and sewage services in metropolitan areas. Based on two models, it is possible to elaborate requirements related to the use and management of GIS and guide actions and decisions for their development, considering the organizational management of companies and the regional context in which they operate.

Autonomous maneuver decision-making for a UCAV in short-range aerial combat based on an MS-DDQN algorithm

To solve the problem of realizing autonomous aerial combat decision-making for unmanned combat aerial vehicles (UCAVs) rapidly and accurately in an uncertain environment, this paper proposes a decision-making method based on an improved deep reinforcement learning (DRL) algorithm: the multi-step double deep Q-network (MS-DDQN) algorithm. First, a six-degree-of-freedom UCAV model based on an aircraft control system is established on a simulation platform, and the situation assessment functions of the UCAV and its target are established by considering their angles, altitudes, environments, missile attack performances, and UCAV performance. By controlling the flight path angle, roll angle, and flight velocity, 27 common basic actions are designed. On this basis, aiming to overcome the defects of traditional DRL in terms of training speed and convergence speed, the improved MS-DDQN method is introduced to incorporate the final return value into the previous steps. Finally, the pre-training learning model is used as the starting point for the second learning model to simulate the UCAV aerial combat decision-making process based on the basic training method, which helps to shorten the training time and improve the learning efficiency. The improved DRL algorithm significantly accelerates the training speed and estimates the target value more accurately during training, and it can be applied to aerial combat decision-making.

Crisis Containment: Tools for Harm Mitigation in Surgery

Surgical crises represent unrecognized opportunities for improving patient safety and adding value in healthcare. The first step in a crisis response is to contain and mitigate harm. While the principles of damage control are well established in surgery, methods of containing harm on broader clinical and organizational levels are not clearly defined. A multimethods qualitative study identified crisis containment strategies and tools in commercial aviation. These were translated and clinically adapted in 3 stages: semi-structured observational fieldwork with commercial airlines, interviews with senior pilots, and focus groups with both healthcare and aviation safety experts. Thematic analysis and expert consensus methods were used to derive a framework for crisis containment. Fieldwork with 2 commercial airlines identified 2 crisis containment concepts: the detrimental impact of surprising or startling events on operator performance; and the use of prioritization tools to take basic but critical actions (Aviate, Navigate and Communicate model). Twenty-two experts in aviation and healthcare practice informed the topic of crisis containment in 17 interviews and 3 focus groups. Three strategies were identified and used to form a crisis containment algorithm: 1. Manage the operators' startle response to facilitate meaningful mitigating actions (STOP tool); 2. Take priority actions to secure core functions. These included managing patients' physiologic shock, optimizing environmental risks, and mobilizing resources (Perfuse, Move and Communicate tool); 3. Deploy well-rehearsed drills targeting case-specific harms or errors (Memory Actions). This model requires validation in clinical practice. Crisis containment can be achieved by controlling operators' startle response, applying prioritization tools, and deploying drills against specific failures. The application of this model may extend to healthcare areas outside surgery.

Effect of NTN and Lmx1α on the Notch Signaling Pathway during the Differentiation of Human Bone Marrow Mesenchymal Stem Cells into Dopaminergic Neuron-Like Cells.

Human bone marrow mesenchymal stem cells (h-BMSCs) have the potential to differentiate into dopaminergic neuron-like cells to treat Parkinson's disease. The Notch signaling pathway has been implicated in the regulation of cell fate decisions such as differentiation of BMSCs. This study investigated changes in the expression of Notch-related genes in the differentiation of BMSCs in vitro into dopaminergic (DA) neuron-like cells. BMSCs transfected with empty lentiviral vectors served as the control group and those transfected with NTN and Lmx1α recombinant lentiviral vectors served as the experimental group. After induction and culture of NTN and Lmx1α-transfected h-BMSCs for 21 days, the cells exhibited features of dopaminergic neuron-like cells, which were observed by transmission and scanning electron microscopy and verified by immunofluorescence of tyrosine hydroxylase (TH) and dopamine transporter (DAT). These induced cells could secrete dopamine and had basic action potentials. Expression of the neural stem cell (NSC) markers, including octamer-binding protein (Oct4), paired box gene 6 (Pax6), and sex determining region Y-box 1 (SOX1), increased on day 14 of induction and decreased on day 21 of induction during differentiation. The human Notch signaling pathway PCR array showed a differential expression of Notch-related genes during the differentiation of h-BMSCs into DA neuron-like cells in vitro relative to that in the control group. In conclusion, h-BMSCs overexpressing NTN and Lmx1α can successfully be induced to differentiate into dopaminergic neuron-like cells with a neuronal phenotype exhibiting fundamental biological functions in vitro, and NTN and Lmx1α may affect the expression of Notch-related genes during differentiation.

Is lithium brine water?

With the development of light and rechargeable batteries for electric vehicles, global demand for lithium has increased considerably in recent years. This has drawn more attention to how lithium is produced, especially on primary extraction operations such as those at the Salar de Atacama in Northern Chile. There are concerns that brine extraction at the Atacama could irreversibly damage the basin's complex hydrological system. However, differing opinions over the definition of water have frustrated basic action measures for minimizing impacts of operations like these. Some lithium industry stakeholders have historically described brine as a mineral, while others emphasize that brine is also a type of water in a complex network of different water resources. In this communication, we show that brines are undeniably a type of water. We support this position by investigating brine's water molecular structure using molecular dynamics simulations and comparing Gibbs formation energy of the brine using thermodynamic principles. Molecular dynamics show that the structure of water molecules in brine is similar to the structure of molecules in pure water at a pressure of 1.2 atm. The analysis of Gibbs formation energy shows that more than 99% of the brine's formation energy is directly from water, not dissolved minerals.

Deciding: how special is it?

ABSTRACT To decide to A, as I conceive of it, is to perform a momentary mental action of forming an intention to A. I argue that ordinary instances of practical deciding, so conceived, falsify the following two theses: (1) Necessarily, S intentionally A-s only if S intends to A; (2) In every actual case of intentionally A-ing, the agent intends to A. But I also argue that actions of some other types falsify these theses. Practical deciding is not unique in this respect. In another respect, however, it may be unique. It may be the only source of counterexamples to the thesis that, in any actual case of intentional action, some relevant intention is at work. In addition, actual instances of deciding to A may differ from other actual basic actions in that whereas the latter are successful attempts to A, actual agents never try to decide to A (as opposed to trying to decide what to do and to trying to bring it about that they decide to A).

Musical Interaction Reveals Music as Embodied Language.

Life and social sciences often focus on the social nature of music (and language alike). In biology, for example, the three main evolutionary hypotheses about music (i.e., sexual selection, parent-infant bond, and group cohesion) stress its intrinsically social character (Honing et al., 2015). Neurobiology thereby has investigated the neuronal and hormonal underpinnings of musicality for more than two decades (Chanda and Levitin, 2013; Salimpoor et al., 2015; Mehr et al., 2019). In line with these approaches, the present paper aims to suggest that the proper way to capture the social interactive nature of music (and, before it, musicality), is to conceive of it as an embodied language, rooted in culturally adapted brain structures (Clarke et al., 2015; D’Ausilio et al., 2015). This proposal heeds Ian Cross’ call for an investigation of music as an “interactive communicative process” rather than “a manifestation of patterns in sound” (Cross, 2014), with an emphasis on its embodied and predictive (coding) aspects (Clark, 2016; Leman, 2016; Koelsch et al., 2019). In the present paper our goal is: (i) to propose a framework of music as embodied language based on a review of the major concepts that define joint musical action, with a particular emphasis on embodied music cognition and predictive processing, along with some relevant neural underpinnings; (ii) to summarize three experiments conducted in our laboratories (and recently published), which provide evidence for, and can be interpreted according to, the new conceptual framework. In doing so, we draw on both cognitive musicology and neuroscience to outline a comprehensive framework of musical interaction, exploring several aspects of making music in dyads, from a very basic proto-musical action, like tapping, to more sophisticated contexts, like playing a jazz standard and singing a hocket melody. Our framework combines embodied and predictive features, revolving around the concept of joint agency (Pacherie, 2012; Keller et al., 2016; Bolt and Loehr, 2017). If social interaction is the “default mode” by which human brains communicate with their environment (Hari et al., 2015), music and musicality conceived of as an embodied language may arguably provide a route toward its navigation.

Mission segment division of the whole aeroengine loading spectrum based on flight actions

This paper studies on a division method of the whole aeroengine loading spectrum flight mission segment and rotor speed mission segment, which is based on the actual flight actions and related to the flight operations of aeroengine and is suitable for the variable-speed aeroengines such as turbojet and turbofan. Through the research, the aeroengine loading spectrum operation-related mission segments can be divided, which can provide important data basis for the life research on the structures which are sensitive to flight maneuver (such as the main shaft, large gearbox and installation section), lay a foundation for the simulation, compilation and prediction of the whole aeroengine loading spectrum. Firstly, based on the summary of basic flight actions in actual flight, the division of flight mission segment was realized by programming. Moreover, the aeroengine rotor speed mission segments, associated with flight actions and missions, were divided based on the flight mission segment division results. Besides, the efficiency and accuracy of the mission segment division results were verified by adopting measured loading spectrum data. Finally, the characteristics of speed mission segment division results were compared and analyzed in tables and figures. The comparison results show that the characteristics of similar speed mission segments are similar, while the characteristics of different speed mission segments are different. And the shapes of similar mission segments vary to the change of flight actions and operations, which can reflect the operation-related feature of the segments.

Shaping the perceptual field in interaction: The use and non-use of ga in the speech of very young Japanese children

Developmental studies on Japanese children's use of ga report that they start using ga from an early age, but that their usage rate is quantitatively less than that of adults, thus concluding that children's knowledge about ga is limited and takes time before it reaches to the adult level. This study takes an interactional linguistic approach to the phenomenon instead, and observes how children as young as 2 years old deploy ga in order to accomplish particular social actions in their everyday talk-in-interaction. It studies ga's oft-noted “highlighting function” not cognitively, but situated within the field of ongoing participant interaction. The study finds that children mark NPs with ga when certain elements in the environment need to be recognized anew or picked out among other things, in order to shape the joint perceptual field for the purposes of interaction. Conversely, they choose not to mark NPs with ga when such recognition work is not necessary, or when the entity has already become relevant in the current discourse. Thus, children seem to understand the most basic action opportunities that ga affords quite early, and that “seeing” is a both a social practice and an interactional achievement.

"Acupuncture network drug"--transformation and application strategies of exosomes based on characteristics of network regulation of acupuncture therapy

Although the basic mechanism of acupuncture-moxibustion has been revealed from many aspects, there are still many shackles in the transformation of the related research achievements. The transformation of academic achievements of experimental acupunctology is an urgent issue to be solved at present. Network regulation is the basic action mode of acupuncture therapy. In the present paper, we proposed that the "acupuncture network drug" could carry a variety of effective active ingredients which may be the core component of network regulation of acupuncture therapy. The "exosomes", polyvesicle derived from the intracellular lysosomal microparticles invagination, contain complex RNAs and proteins and exist in the body fluids and function in secreting abundant activate substances to participate in intercellular communication, which is the research hotspot in the field of frontier life science in the world. They play an important role in the diagnosis and treatment of diseases, and drug development, etc.. Our studies using rats with adjuvant arthritis and mice with sepsis displayed that after intraperitoneal administration of serum exosomes derived from normal animals receiving acupuncture intervention, an acupuncture-like analgesic effect and an anti-inflammatory effect were achieved, respectively. It is thus possible that acupuncture network drugs could be developed from serum exosomes secreted by exosome autogenous living cells after acupuncture intervention by virtue of the characteristics of low immunogenicity and may have great advantages in drug development and modification. It is also expected to provide new ideas for the transformation of experimental research results and to in depth give explanations about the underlying mechanisms of acupuncture therapy.

Toward Application of Liquid Crystalline Elastomer for Smart Robotics: State of the Art and Challenges.

Liquid crystalline elastomers (LCEs) are lightly crosslinked polymers that combine liquid crystalline order and rubber elasticity. Owing to their unique anisotropic behavior and reversible shape responses to external stimulation (temperature, light, etc.), LCEs have emerged as preferred candidates for actuators, artificial muscles, sensors, smart robots, or other intelligent devices. Herein, we discuss the basic action, control mechanisms, phase transitions, and the structure–property correlation of LCEs; this review provides a comprehensive overview of LCEs for applications in actuators and other smart devices. Furthermore, the synthesis and processing of liquid crystal elastomer are briefly discussed, and the current challenges and future opportunities are prospected. With all recent progress pertaining to material design, sophisticated manipulation, and advanced applications presented, a vision for the application of LCEs in the next generation smart robots or automatic action systems is outlined.

Crisis Management in the Face of Covid-19 to Control Drug Chemistry for Cancer Patients in Different Countries: A Review Study

The present study is a PICO review that examines crisis management strategies in the face of Covid-19. The reviewed documents were searched in Google Scholar, Sid and Mag Iran databases using the keywords management, Covid-19, control, crisis. Based on studies by many hospitals, health and care networks have planned on how to deal with and increase capacity, recruit staff, use new infrastructure, and make optimal use of resources. Accident goals and programs are also presented, especially in intensive care units, which include the establishment of an acute care surgeon, the proposed infrastructure, patient transfer, the principles of triage, convalescence, and the establishment of a full-time intensive care physician. Quality Improvement Management and Crisis Management of The Most Basic Action was to completely evacuate the hospital from the hospitalized patients and prepare the wards for the reception of Covid-19 patients and close the clinics. This strategy helped to free the beds and the ability to hospitalize patients with Covid-19 and the rapid start of treatment in patients. Countries also consider it important to follow up with families of infected people in order to break the transmission chain. The most effective prevention and control measures are to find suspicious patients and close contact, confirm patients and carriers of the virus, and block transmission through isolation, disinfection, and personal protection. Therefore, early diagnosis, isolation and treatment of patients are the basic measures to control the source of infection and reduce the rate of infection.

Real-Time Evaluation Algorithm of Human Body Movement in Football Training Robot

As one of the most challenging topics in the field of artificial intelligence, soccer robots are currently an important platform for humanoid robotics research. Its fields cover a wide range of fields, including robotics, artificial intelligence, and automatic control. Kinematics analysis and action planning are the key technologies in the research of humanoid soccer robots and are the basis for realizing basic actions such as walking. This article mainly introduces the real-time evaluation algorithm of human motion in the football training robot. The football robot action evaluation algorithm proposed here designs the angle and wheel speed of the football robot movement through the evaluation of the angular velocity and linear velocity of the center of mass of the robot. The overall system of the imitation human football robot is studied, including the mechanical system design. The design of the leg structure, the decision-making system based on the finite state machine, the robot vision system, and the image segmentation technology are introduced. The experimental results in this article show that the action of the football training robot model is very stable, the static rotation movement time is about 220 ms, and the fixed-point movement error is less than 1 cm, which fully meets the accuracy requirements of the large-space football robot.

Deep learning-based visual control assistant for assembly in Industry 4.0

Product assembly is a crucial process in manufacturing plants. In Industry 4.0, the offer of mass-customized products is expanded, thereby increasing the complexity of the assembling phase. This implies that operators should pay close attention to small details, potentially resulting in errors during the manufacturing process owing to its high level of complexity. To mitigate this, we propose a novel architecture that evaluates the activities of an operator during manual assembly in a production cell so that errors in the manufacturing process can be identified, thus avoiding low quality in the final product and reducing rework and waste of raw materials or time. To perform this assessment, it is necessary to use state-of-the-art computer vision techniques, such as deep learning, so that tools, components, and actions may be identified by visual control systems. We develop a deep-learning-based visual control assembly assistant that enables real-time evaluation of the activities in the assembly process so that errors can be identified. A general-use language is developed to describe the actions in assembly processes, which can also be used independently of the proposed architecture. Finally, we generate two datasets with annotated data to be fed to the deep learning methods, the first for the recognition of tools and accessories and the second for the identification of basic actions in manufacturing processes. To validate the proposed method, a set of experiments are conducted, and high accuracy is obtained.

Taxonomy, Conservation, and the Future of Native Aquatic Snails in the Hawaiian Islands

Freshwater systems are among the most threatened habitats in the world and the biodiversity inhabiting them is disappearing quickly. The Hawaiian Archipelago has a small but highly endemic and threatened group of freshwater snails, with eight species in three families (Neritidae, Lymnaeidae, and Cochliopidae). Anthropogenically mediated habitat modifications (i.e., changes in land and water use) and invasive species (e.g., Euglandina spp., non-native sciomyzids) are among the biggest threats to freshwater snails in Hawaii. Currently, only three species are protected either federally (U.S. Endangered Species Act; Erinna newcombi) or by Hawaii State legislation (Neritona granosa, and Neripteron vespertinum). Here, we review the taxonomic and conservation status of Hawaii’s freshwater snails and describe historical and contemporary impacts to their habitats. We conclude by recommending some basic actions that are needed immediately to conserve these species. Without a full understanding of these species’ identities, distributions, habitat requirements, and threats, many will not survive the next decade, and we will have irretrievably lost more of the unique books from the evolutionary library of life on Earth.

Research on an Improved Three-Level SVPWM Modulation Algorithm Based on ID-NPC Topology

The conventional three-level SVPWM (Space Vector Pulse Width Modulation) algorithm is a basic modulation algorithm, which can be performed easily due to clear modulation ideas. Considering different criteria for sectors, however, the basic vector action time is calculated repeatedly, the selection of vector action sequence is cumbersome, and the algorithm execution time is extended as a result of processing by the digital processing chip. In order to better adapt to the PMSM (Permanent Magnet Synchronous Motor) control requirements of the ID-NPC (Improved Diodes Neutral Point Clamped) topology for converter control objects, the sector judgment part, time effect part and vector synthesis part are optimized according to the principles of saving hardware resources and shortening the execution cycle. The vector synthesis optimization algorithm of 2 × amplitude substitution and the vector synthesis algorithm of 1/2 × amplitude substitution are both proposed. Finally, the ID-NPC topology is used to verify the proposed modulation algorithm.

Рационализация труда преподавателя в нетипичных условиях

The educational sphere is one of the most influenced by global processes greatly accelerated during the last period, the consequences caused by them are becoming more and more radical. This paper is devoted to solving the task of reducing the load on the teacher at the expense of information to a minimum of routine operations increased, in particular, by introducing into the practice of the educational process a distant mode, subject to minimizing a reduction in high-quality level. The focus is on such an element of the work of the teacher as a summary of the final measures, for the conducting of which a unified scheme is proposed, covering the basic actions to plan and realizing activities in remote mode, evaluating and logging the responses of examinations, questions of the information interaction of the student and the teacher. The execution of a number of operations in the proposed scheme is automated, the description of the functionality and design principles of software application is given in the article. The approach is focused on achieving the highest possible level of reliability of exams, simplifying operations and transparency of the grades issued by teacher. In the proposed decision, the experience collected by the author during its practical work within the proposed approach is taken into account.