Automated Personal Thesaurus TEZAL: Reconstructing the Psychosemantic Foundations of Interpersonal Relations

The present research featured the psychosemantic foundation of interpersonal relations, the latter represented as a three-level system. The psychosemantic foundation contains implicit models of interpersonal relations; the regulatory level regulates interpersonal relationships in various contexts; the behavioral level manifests itself in direct interpersonal behavior. The research was based on the method of semantic differential. However, the method proved too sensitive to various kinds of heterogeneity of the test subjects, which rendered it impossible to identify the factor structure. As a result, the semantic differential was converted to factorial personality systems through the Automated Personal Thesaurus TEZAL. In this research, the semantic differential vocabulary profile was converted to 16PF personality profile. The semantic differential and converted data underwent statistical and comparative analyses, which singled out the general structures of perception in the system of interpersonal relations. The procedure revealed two bipolar factors. The factor of social self-organization reflected the degree of orderliness of social activity and behavior. The factor of social interaction demonstrated the flexibility, activity and initiative of social behavior. A regression analysis of the psychosemantic foundations revealed a more complex system, when interpersonal relations are perceived through the role image of mother and friend. Thus, initial data conversion provided a more detailed reconstruction of the psychosemantic foundation of interpersonal relations.

401 MHz transistorised radiosonde transmitter

This paper describes a transistorised radiosonde transmitter which was designed to replace valve version earlier used in national upper air l1etwork for upper air data acquisition. The transmitter operates in 400.6-406 MHz frequency band (tunable) with 500 mill watt power output utilising a 22.5V water activated battery, Stripling technique has been deployed to obtain the optimum. design and transmitted meets all the stringent requirements laid down for accurate data conversion and transmission. The system IS In routine use In the national upper air network and the performance is satisfactory.

Information system for creating a generalized model of complex technical objects

Creation of complex technical objects (CTO, such as science-intensive engineering objects, which are characterized by the number of elements and connections equal to 106 and more) – a process containing long subprocesses, complex objects, models, and based on available standards and information technology (IT). It is known from practice that CTO models are created with the help of information systems - components of CALS and PLM-solutions. This process have the following shortcomings: models at different stages of creation of CTO are not completely interconnected; CTO modeling takes place using different components of IT CALS and PLM-solutions, which creates constant difficulties in data conversion and leads to partial or complete loss of model data; there is no automated communication with other CTO models. A generalized model of complex technical objects is proposed, which based on using the theoretical-multiple approach allows to establish an information connection between the models of the process of creating complex technical objects. The information system of creation of the generalized model of difficult technical objects that allowed automating process of processing and construction of models is developed; to supplement the technology of parallel PLM design and components of information technologies CALS and PLM-solutions for the task of creating models of complex technical objects.

TIMSCONVERT: A workflow to convert trapped ion mobility data to open data formats

Advances in mass spectrometry instrumentation have led to the development of mass spectrometers with ion mobility separation (IMS) capabilities and dual source instrumentation, but the current software ecosystem lacks interoperability with downstream data analysis using open-source software/pipelines. Here, we present TIMSCONVERT, a data conversion workflow from timsTOF fleX MS raw data files to size conscious mzML and imzML formats with minimal preprocessing to allow for compatibility with downstream data analysis tools, which we showcase with several examples using data acquired across different experiments and acquisition modalities on the timsTOF fleX. Availability and Implementation: TIMSCONVERT and its documentation can be found at https://github.com/gtluu/timsconvert and is available as a standalone command line interface, Nextflow workflow, and online in the Global Natural Products Social (GNPS) platform (https://proteomics2.ucsd.edu/ProteoSAFe/index.jsp?params={%22workflow%22%3A%20%22T IMSCONVERT%22}).

3D Geological Implicit Modeling Method of Regular Voxel Splitting Based on Layered Interpolation Data

In view of the problems in traditional geological modeling methods, such as the insufficient utilization of geological survey data, the inaccurate expression of a stratigraphic model, and the large amount of model data, a 3D geological model cannot be smoothly loaded and rendered on the web end. In this paper, a 3D geological implicit modeling method of regular voxel splitting based on hierarchical interpolation data is proposed. This method first uses the boreholes and geological section data from a geological survey for data conversion and fusion, compares the applicability of different interpolation algorithms through cross-validation research, and uses the best fitting algorithm to interpolate and encrypt discrete points in the formation. Then, it constructs the regular voxels, designs five different regular voxel split types, and divides the voxels. In addition, the data structure design of the voxel split model is implemented, and the irregular voxel metadata structure is analyzed and displayed through Three.js. Using this method, based on the survey data of an area in Zhengzhou, the global workflow from data processing to model construction and visualization is demonstrated. The experimental results show that the model can integrate multisource hierarchical interpolation data; express different stratum structures accurately and smoothly, and can realize the fast rendering, spatial query and analysis of the internal information of a geological body in a browser.

Regional hematology service registration system for the Russian Federation

Introduction. The hematology service registration system describes actual indicators of hematology service infrastructure and target objects of both assigned and affiliated organizations of Russian Federation regions along with its correlations. This system data base makes it possible to collect, save, and analyze information, creating a data storage library about all current existing resources and taking into account concrete, specific conditions of specialized and high-tech hematological medical assistance organizations at the local levels and formed quality and availability optimization proposals.Aim — description and justification of the need to create a unified, complex, available to all users, informational reference system with the possibility of up-to-date maintenance and accounting that allows for the keep and control of the regional characteristics and hematology service indicators of the Russian Federation.General findings. The creation of and development of the hematology service registration system began in 2018, and work on the project continues. Four main phases were selected as the key stages of the hematology service pasportisation: analyses of the current data, verification of information, creation of a user-friendly tool, system updating. Objects to monitor: medical key and related institutions, universities, affiliated organizations, laboratory service. The data working stages: data collection, manual updating, package uploading. The information sources: official websites, data high-tech medical treatment web portal, web portals of the public health authorities, Compulsory Medical Insurance Fund website, The Unified Data Health Care System, license register of the Federal Service for Healthcare Surveillance, data of the Federal State Statistics Service, official documents of Ministry of Public Health. Based on the developed checklists and forms for entering additional information for specialists of the subjects of the Russian Federation, a reference book of the Ministry of Defense (Excel file format) was created. However, in the course of further remote interaction and conducting field events in the regions of the Russian Federation during 2019–2020 new data needs for evaluating hematology services were determined. The increase of additional data inputs and its structure complication became the main reasons for further developing a new platform design concept and data conversion in database framework of the hematology service registration system (Access file format). The current objectives are as follows: authentication of the internal objects identifiers, implementation of the relational database codifier, modification of cartographic display and objects routing. The hematology service registration system contains data both for the key infrastructure nodes of Russian Federation hematology service and correlations within routing of all key system objects. Based on the positive results, the hematology service registration system is planned to be used by experts of specialized medical organizations, regional executive authorities on public health and professional communities, who will be able to accumulate all changes and indicators in dynamics within one system. The expected result is to provide the Ministry of Defense of the Russian Federation regions with methodological and informational support in specialized and high-tech medical care administration.

Research on college English teaching based on data mining technology

To improve the efficiency and quality of college English teaching, we analyzed the feasibility and application process of data mining technology in college English teaching. The entire process of data classification mining was fully realized. A new teaching program was proposed. The object and target of data mining were determined. Online surveys were used to collect data. Data integration, data cleaning, data conversion, data reduction and other pre-processing technologies were adopted. The decision tree was generated by using the C4.5 algorithm, and the pruning was carried out. The result analysis decision tree model was completed. A detailed survey of the students' English learning in University was made in detail. The results showed that the qualified rate of students' English performance was increased from 20–30% to 50–60%. Therefore, the classification rules provide theoretical support for the school teaching decision. This method can improve the quality of English teaching.

Te Ao Hurihuri

<p>At the heart of the thesis is the establishment of a new type of landscape practice based upon leveraging the power and potential of computational tools to serve cultural attitudes to land and land management. The research acknowledges that a new approach to landscape understanding is required, one that extends the current discipline’s mode of notation and representation/visualisation and ‘experience’ within the design process. It questions current forms of mapping and representational media and highlights limitations when communicating ‘non-traditional’ cartographic data, such as cultural and spiritual sites arguing that there are opportunities for a more holistic experiential interaction. By utilising a holistic approach influenced by key Māori kaupapa including kaitiakitanga, manaakitanga, and mauri, the research offers up a novel digital methodology that draws from a range of existing data (demographics, climate etc.) and initiates the creation or capturing of new data. This extended method of ‘bottom up’ data collection combined with virtual 3D modelling and visualisation, enables traditional understandings of landscape to extend to the experiential in the creation of an immersive, interactive and open collaborative 3D environment. This is further investigated through a process consisting of data conversion to mesh production for game engine use, incorporating diverse data sets to create new knowledge landscapes - an information-rich land model which in turn generates interactive 3D landscapes for end users. The process itself uses commonplace photogrammetry techniques as a means to capture selected areas of the cultural landscape recording both mesh and texture/image map. We then employ the software ‘Unreal Engine 4’ (Game development platform). The development of the gamification model allows location specific data to be ‘plugged in’ for landscape ecosystem monitoring also providing the potential for real time resource management. Future speculation of the cultural landscape enables climate events to be simulated and tested, giving an understanding of implications and risks with a view to local response and mitigation. From a design perspective the method/model allows designers to respond effectively with Māori end users and their real needs, potentially collapsing traditional modes of engagement and consultation between designer-client relationships providing a more bottom up collaborative approach.</p>

Te Ao Hurihuri

<p>At the heart of the thesis is the establishment of a new type of landscape practice based upon leveraging the power and potential of computational tools to serve cultural attitudes to land and land management. The research acknowledges that a new approach to landscape understanding is required, one that extends the current discipline’s mode of notation and representation/visualisation and ‘experience’ within the design process. It questions current forms of mapping and representational media and highlights limitations when communicating ‘non-traditional’ cartographic data, such as cultural and spiritual sites arguing that there are opportunities for a more holistic experiential interaction. By utilising a holistic approach influenced by key Māori kaupapa including kaitiakitanga, manaakitanga, and mauri, the research offers up a novel digital methodology that draws from a range of existing data (demographics, climate etc.) and initiates the creation or capturing of new data. This extended method of ‘bottom up’ data collection combined with virtual 3D modelling and visualisation, enables traditional understandings of landscape to extend to the experiential in the creation of an immersive, interactive and open collaborative 3D environment. This is further investigated through a process consisting of data conversion to mesh production for game engine use, incorporating diverse data sets to create new knowledge landscapes - an information-rich land model which in turn generates interactive 3D landscapes for end users. The process itself uses commonplace photogrammetry techniques as a means to capture selected areas of the cultural landscape recording both mesh and texture/image map. We then employ the software ‘Unreal Engine 4’ (Game development platform). The development of the gamification model allows location specific data to be ‘plugged in’ for landscape ecosystem monitoring also providing the potential for real time resource management. Future speculation of the cultural landscape enables climate events to be simulated and tested, giving an understanding of implications and risks with a view to local response and mitigation. From a design perspective the method/model allows designers to respond effectively with Māori end users and their real needs, potentially collapsing traditional modes of engagement and consultation between designer-client relationships providing a more bottom up collaborative approach.</p>