Classification Of Resources Research Articles

Electronic information resources: definition and classification

The article provides a review of normative documents and scientific works devoted to the concept of "electronic information resource" as an important type of information resources, caused by the influence of information technologies. The classification of electronic information resources is given, summarizing the most common features and categories and also taking into account the correspondence between the features of the classification of information resources and electronic information resources.

OVERVIEW AND CLASSIFICATION OF DIGITAL EDUCATIONAL RESOURCES FOR ECONOMIC AND MANAGERIAL EDUCATION OF MASTER DEGREE STUDENTS MAJORING IN INFORMATION TECHNOLOGIES

A wide range of forms and content of digital educational resources already exists and new forms appear regularly. Formal and informal organizations and societies work on the classification of resources. Countries and international organizations are establishing initiatives to support the development, sharing, and use of digital educational resources. Some of these resources are open, while others are accessible only to certain communities or geographic areas. This work intends to study the digital educational resources that enhance the development of managerial and economic knowledge and skills in the curriculum of masters majoring in IT. Methods of research appled: analysis, systematization, generalization, and classification were used to describe the proposed digital educational resources and their classification. The work provided the overview and classification of the digital educational resources for economic and managerial education of IT masters. The main varieties of the proposed digital resources are considered. Examples of the use of such digital educational resources in global institutions of higher education are given. The prospects for the future research require the analysis of the effective implementation of the latest solutions in the area of generative machine learning models. These technologies are reaching the levels of development when they become useful in the technologically-aided work of humans in routine as well as in creative jobs. Time is needed to see the first results of the usage of generative models in educational activities, as the parts of digital educational resources and their role in the digital transformation of educational institutions.

Novel Approaches for Searching and Recommending Learning Resources

Abstract This study proposes models for searching and recommending learning resources to meet the needs of learners, helping to achieve better student performance results. The study suggests a general architecture for searching and recommending learning resources. It specifically proposes (1) the model of learning resource classification based on deep learning techniques such as MLP; (2) the approach for searching learning resources based on document similarity; (3) the model to predict learning performance using deep learning techniques including learning performance prediction model on all student data using CNN, another model on ability group using MLP, and the other model on per student using LSTM; (4) the learning resource recommendation model using deep matrix factorization. Experimental results show that the proposed models are feasible for the classification, search, ranking prediction, and recommendation of learning resources in higher education institutions.

Enhanced Binary Black Hole algorithm for text feature selection on resources classification

Exploring an optimal combination of features from high-dimensional text vectors is an essential step for classification on Scientific and Technical Service (STS) resources. However, existing metaheuristic feature selection methods exhibit deteriorated performance and increased computational costs when dealing with high-dimensional datasets. Based on these issues, a novel Enhanced Binary Black Hole (EBBH) algorithm is investigated to improve the performance of mining the optimal subset of high-dimensional attributes in STS resources text. In the proposed EBBH, all operators employ a novel binary encoding framework to reduce the number of features, which provides a more efficient way to search the solution space. As a pre-processing step, prime feature attention assigns different selection weights based on the variable importance ranking from random forests, ensuring a high-quality initial population is generated. Moreover, we incorporate an adaptive enhancement strategy to maintain the balance between exploitation and exploration in the search process. The proposed EBBH is assessed on eight high-dimensional benchmark datasets and subsequently demonstrated successful application to five STS resource datasets. Comparative experiments with 12 state-of-the-art algorithms for high-dimensional problems revealed the superiority of EBBH in terms of fitness, classification accuracy, and selected features.

Implementing SRMS in the North Perth Basin: challenges and practical solutions

The Society of Petroleum Engineers (SPE) published the CO2 Storage Resources Management System (SRMS) in 2017 to provide a CO2 Storage Resource classification. Guidelines for its application were published in July 2022. In this paper, Molyneux Advisors (MA) has used these principles to classify and categorise potential CO2 storage resources of Deep Saline Formations (DSFs) and Depleted Oil & Gas Accumulations (DOGAs) in the North Perth Basin (NPB). A subsurface inter-disciplinary approach was taken, integrating supporting data and interpretations in calculating storage volumes. Key challenges exist in: classification of storage resources for four DSFs which jointly constitute more than 90% of potential CO2 storage resources in the NPB; quantifying accessible and Inaccessible Storage Resource volumes; and determining the low-, base- and high-case estimates based upon the uncertainty ranges of inputs. Furthermore, approval of any CO2 storage development is yet to be granted by the Western Australian State Government.

Individualized Recommendation Method of Multimedia Network Teaching Resources Based on Classification Algorithm in a Smart University

Abstract Current recommendation methods of multimedia network teaching resources cannot classify the resources with high precision, which leads to large deviation of recommendation results and low recall. Therefore, a personalized recommendation method of multimedia network teaching resources based on classification algorithm is proposed. Adaptive sliding window mutual information method is used to process historical and incremental data of teaching resources and extract the characteristics of multimedia network teaching resources. Two-step clustering algorithm combined with business identifier code criteria are used to complete resource classification. Based on structured query language (SQL) multimedia network teaching resources data recommendation database, document query and processing, combined with SQL structure, a personalized recommendation of multimedia network teaching resources is completed. The experimental results show that the recall of the classification results is higher than 99.58 %, and the highest F1 value is 97.28 %. The precision of personalized recommendation of multimedia network teaching resources is always higher than 90 %, and the recall rate is also higher.

Accounting and control of auxiliary material resources in the management of financial security in construction

Introduction. In the field of construction, in addition to the main material resources, which are building materials, auxiliary material resources are used, which include: electricity, natural gas, solid fuel (coal, peat, firewood), liquid fuel (diesel fuel, gasoline, biofuel) , water, heat energy, spare parts, repair materials, etc. In the cost structure of a construction enterprise, auxiliary material resources occupy approximately 5-10 %, however, they have a certain influence on the volume of expenses of the construction industry enterprise and the cost price of construction products (works, services). The rational use of auxiliary material resources ensures their savings and has a positive effect on the final financial result of the construction enterprise and, ultimately, on the level and efficiency of financial security management in construction.The purpose. The purpose of the study is to find out the specifics of accounting and control over the use of electricity, natural gas, water and other auxiliary material resources in construction and the degree of their influence on the volume of expenses of the construction enterprise and ensuring the economy of such resources.Methods (methodology). Applied methods of the system approach and data summarization - to improve the methodology and organization of accounting and control of auxiliary material resources of the construction enterprise and its segments; graphic method - for building a scheme of classification of auxiliary material resources in construction; tabular - to characterize the volumes of some auxiliary material resources used in the construction of Ukraine in 2020 and to determine their specific weight in the all-Ukrainian consumption of them, etc.The results. It is proposed to call those material resources that do not belong to the main material resources (building materials, construction structures, assemblies and parts) as auxiliary material resources (AMR) in construction. It is noted that the auxiliary material resources include: electricity, natural gas, solid fuel (coal, peat, firewood), liquid fuel (diesel fuel, gasoline, biofuel), water, thermal energy, spare parts, repair materials, etc. and auxiliary material resources are strategic reserves of both a certain subject of entrepreneurial activity and the state in general. It is noted that at all (without exception) objects of consumption of electric energy, solid and liquid fuel, natural gas, heat energy, water, etc. It is proposed to separate the relevant sub-accounts in the accounting system: “Electric energy”, “Natural gas”, “Solid fuel”, “Liquid fuel”, “Heat energy”, “Water supply”, “Water drainage”, “Spare parts”, “Repair materials” etc. The importance of control over the effectiveness of the use of auxiliary material resources in construction is emphasized, which, first of all, should be a responsible internal control and be aimed at minimizing costs and maximizing the income of operational construction activities.Prospects. In the future, it is expedient to more thoroughly study the methodology and organization of accounting and control of the use of auxiliary material resources in sub- sectors of construction, in particular in road and industrial construction in Ukraine, as well as in other countries of the world that have positive experience in this direction.

Semantics aware intelligent framework for content-based e-learning recommendation

E-learning accounts for the emergence of re-skilling, up-skilling, and augmenting the traditional education system by providing knowledge delivery. The meaningful learning approach is based on a constructivist process for conceptually modeling an individual’s current and past knowledge or experience towards personalization. This research proposes a novel framework in which semantic analysis of e-content is combined with deep machine learning techniques into an e-learning Intelligent Content-Based Recommendation System (ICRS), with the goal of assisting learners in selecting appropriate e-learning materials. The system tackles textual e-content to extract representative terms and their mutual semantic relationships by which a structure of the context-based graph is developed. Thus, the e-content is semantically represented according to the learner’s terms that are expanded using the ConceptNet semantic network to represent the textual knowledge meaningfully. Furthermore, a new approach is proposed wherein more contextual and semantic information among concepts with graphs are combined to infer the relative semantic relations between terms and e-learning resources in order to build the semantic matrix. This new approach is utilized to generate learners’ semantic datasets used for the classification of available resources to enrich the recommendation. Here, four machine learning (ML) models and an augmented deep learning (DL) recommender model named LSTMM, which are developed for the ICRS framework. The models have been evaluated and compared using a user sequential semantic dataset. Our results show that the LSTMM performs better than others in terms of Accuracy and F1 Score of 0.8453 and 0.7731 respectively.

ALGORITHM OF USING THE OSINT TECHNOLOGY IN MODERN SERVICES

The tools and forms of the process of organizing and managing the collection of intelligence data areconsidered. The relationship between operations with different types of information is shown. Techniques of active andpassive information collection were studied. The main types of OSINT data collection tools, their capabilities andapplication features are given. The classification of resources for OSINT operations is given. An information searchalgorithm using modern services (entertainment services) has been developed. The proposed algorithm for using OSINTtechnology in modern services allows you to obtain the maximum amount of data, minimize resources and time, and takesinto account the peculiarities of the legislation of the country of the OSINT object. Based on the statement, the articlealso discusses the relationship between different types of information, the capabilities and application features of variousOSINT data collection tools, and the classification of resources for OSINT operations. Additionally, it presents aninformation search algorithm that utilizes modern services, considering the peculiarities of the legislation of the countryof the OSINT object.

Dilemma and Solution of Intellectual Property Protection of Biological Genetic Resources

The intellectual property protection of biological genetic resources has attracted the attention of many countries, but there are still many difficulties to be solved. At present, the main dilemma lies in whether they are the object of intellectual property protection. Based on the classification of biological genetic resources, the invention based on genetic resources or the invention using their processing, as well as the novelty and originality of digital sequence information, etc., will be included in the scope of protection. In the specific institutional structure, we need to establish basic guiding principles, and solve a series of problems, on this basis. The principle of equity should be applied to coordinate the conflict between the owners and the beneficiaries of genetic resources, and the quality of the system should be tested by whether it can promote biodiversity. The subject of their rights should be limited to the state or the community, and the scope of its power should be limited to four aspects, such as “labeling, control, income, and disposal,” and the standardized use of data should be dealt with through the blockchain technology and the laws and regulations of the digital economy.

Digital Educational Resources in Teaching Professional English Communication

The article considers the issue of using the digital environment in teaching professional communication at a non-linguistic university and aims to specify the role of a digital educational resource in business English courses and to further upgrade higher education. The relevance of the issue under consideration is due to the intensified intro­duction of digital resources in higher education. In this research the authors apply theoret­ical and empirical methods of analysis, consider modern approaches to the classification of digital educational resources for learning English, classify digital resources in accord­ance with the degree of their accessibility, study the ways of applying the communicative approach in teaching students a foreign language for special purposes, aimed at building and developing productive and receptive skills that future specialists will practice in their professional activities. The authors also analyze the results of a survey conducted among students about the experience of using a multimedia program based on Moodle educa­tional software platform, as a part of a business English course. The researchers come to the conclusion that the use of computer technology with a well-planned training program not only makes the process of learning a foreign language more attractive and interesting to students, but also contributes to a more effective development of their receptive and productive skills.

The Use of Knowledge Correlation for Classification and Evaluation of a Distance Education Teaching Resource Database


 Teaching information resource database is an important part of distance education in schools. Understanding the classification and characteristics of teaching resources in teaching information resource database can help teachers to search teaching resources more pertinently and make better use of these resources in actual teaching. Therefore, this article studies the classification and evaluation of distance education teaching resource database based on knowledge network. Combining the LSTM model and the conditional random field model, the resource entities that the target resource design knowledge points refer to are extracted from the resource text string of the teaching resource database. The resource entities that the extracted knowledge point refer to are matched and correlated with other resource entities related to the knowledge point in the teaching resource database, so as to realize the link of resource entities in the teaching resource database based on the concept of knowledge points. Starting with the feature extraction of resource text, this article innovates the resource classification algorithm of teaching resource database, and shows the new algorithm flow of feature extraction of resource text. Experimental results verify the effectiveness of the model.

Mineral Resource Classification Using Geostatistical and Fractal Simulation in the Masjed Daghi Cu–Mo Porphyry Deposit, NW Iran

Mineral resource classification is an important step in mineral exploration and mining engineering. In this study, copper and molybdenum resources were classified using a combination of the Turning Bands Simulation (TBSIM) and the Concentration–Volume (C–V) fractal model based on the Conditional Coefficient of Variation (CCV) for Cu realizations in the Masjed Daghi porphyry deposit, NW Iran. In this research, 100 scenarios for the local variability of copper were correspondingly simulated using the TBSIM and the CCVs were calculated for each realization. Furthermore, various populations for these CCVs were distinguished using C–V fractal modeling. The C–V log–log plots indicate a multifractal nature that shows a ring structure for the “Measured”, “Indicated”, and “Inferred” classes in this deposit. Then, the results obtained using this hybrid method were compared with the CCV–Tonnage graphs. Finally, the results obtained using the geostatistical and fractal simulation showed that the marginal parts of this deposit constitute inferred resources and need more information from exploration boreholes.

Resources and regulation of resource conservation at various stages of the object's life cycle

The relevance of research. At present, the system of regulation of economic activity in Russia belongs to the mobilization type. Among the economic tasks of the mobilization period, one can single out the task of building new external and internal economic contours of the interaction between production, consumption and investment. Among the new economic phenomena of the current period, it should be noted the growing role of resource conservation in the context of maximizing the involvement of internal reserves in the economic turnover. Sustainable and at the same time progressive development of an enterprise of any form of ownership and type of economic activity is associated with effective decisions on the use of resources. In general, the strategic and current management of enterprise resources is the area of competence of the quality management system, one of the functions of which is resource management. An integral element of a comprehensive quality institution is standardization as an open, dynamic and adaptive system. On the territory of the Russian Federation, the problem of resource saving in the construction process is of particular relevance, since most of the country's territory is located in areas with a harsh climate, which requires an increased volume of resource consumption, in particular, those related to the thermal protection of objects. The purpose of the work is to identify the essence of the concepts of "resources" and "resource saving" and to summarize recommendations for organizing the handling of biosphere and technosphere resources in the "design-construction-operation" system. The object of the study is the national standards of the Russian Federation, federal laws and by-laws that regulate the process of resource saving at all stages of the creation of construction products. The subject of the study is design and construction activities carried out according to the criteria of energy saving and material saving in accordance with the environmental policy and guidelines. Research result. The authors present a classification of national resources in the concept of resource saving. The potential resources of enterprises as part of the external and internal circuits are considered as the basis for the study of resource saving. The authors of the article also developed a Matrix of standards governing resource saving at the stages of the life cycle of the creation and operation of an industrial/residential facility

Establishment of Tibetan-Sheep-Specific SNP Genetic Markers

Tibetan sheep are one of the three major coarse sheep breeds in China, and they possess a long history of formation. However, few studies have been conducted on the identification of Tibetan sheep breeds at the molecular level. In this study, a total of 448 individuals from 24 Tibetan sheep populations in the 5 regions of Tibet, Qinghai, Gansu, Yunnan, and Sichuan were analyzed using the Affymetrix Ovine SNP 600K high-density chip to construct specific single-nucleoside polymorphism (SNP) genetic marker sets of Tibetan sheep breeds. Firstly, the genetic structure analysis showed that Yunnan–Tibetan sheep (NL, Ninglang; JC, Jianchuan), Zuogong (ZG), Heizang (HZ), Gongga (GG,) and Tao sheep (TS) can be clearly distinguished from other Tibetan sheep populations. Next, based on the population differentiation index FST, the PCA and NJ tree results showed that only 60 specific SNPs can successfully separate Tibetan sheep in the Yunnan region from Tibetan sheep in other regions, and the distinguishing effect on Yunnan–Tibetan sheep reached 100%. Using the same method, we found that 4 Tibetan sheep breeds, including Zuogong (ZG, 20 SNPs), Heizang (HZ, 60 SNPs), Gongga (GG, 60 SNPs), and Tao sheep (TS, 30 SNPs), can also be distinguished from other Tibetan sheep populations with only a few SNP loci (20–60), and the distinguishing effect reached 100%. Overall, we successfully obtained a Yunnan region-specific (60 SNPs) genetic marker set and 4 breed-specific SNP genetic marker sets (20–60 SNPs) for the first time for the identification of Tibetan sheep breeds at the molecular level. These made up for the lack of genetic marker sets for the identification of Tibetan sheep breeds, and provided a genomic basis for the scientific classification and accurate identification of livestock and poultry genetic resources on the Qinghai–Tibet Plateau.

The Species Richness-Environment Relationship for Cherries (Prunus subgenus Cerasus) across the Northern Hemisphere

Understanding large-scale patterns of biodiversity and their drivers remains significant in biogeography. Cherries species (Prunus subgenus Cerasus, Rosaceae) are economically and ecologically important in ecosystems and human agricultural activities. However, the mechanisms underlying the patterns of the species richness–environment relationship in Cerasus remain poorly understood. We collected and filtered worldwide specimen data to map the species richness of Cerasus at the global scale. The map of Cerasus species richness was created using 21,043 reliable recorded specimens. The center of Cerasus diversity was determined using spatial cluster analysis. Stepwise regression analysis was carried out using five groups of 21 environmental variables and an integrated model was included to assess the impact of the overall environment. We calibrated each of the four integrated models and used them to predict the global Cerasus species richness and that of the other continents. Our results revealed that Cerasus species have two centers of diversity (the southwest of China and Honshu Island in Japan) with differing environmental variables influencing the distribution patterns of these two centers. In the southwest of China, hygrothermal conditions are the main driving factor while in Japan, habitat heterogeneity is the main driving factor. The relationship between the abundance of Cerasus and the various groups of factors generally supports both the productivity and the habitat heterogeneity hypotheses. However, these hypotheses do not fully explain the Cerasus species richness pattern, indicating that other factors such as historical environment, topography, and human activities likely played a role in pattern formation. The high level of habitat heterogeneity and better hygrothermal conditions may have played an important role in the establishment of its globally consistent richness–climate relationship. Our results can provide valuable information for the classification and conservation of Cerasus natural resources as well as contribute to furthering our understanding of biogeography at a global scale.

SEM Study of Leaf Epidermis and Spores of Nine Species Of Dryopteris Adans. From Shandong Province, China

Scanning Electron Microscopy (SEM) structures of leaf epidermis and spores of 9 species of Dryopteris Adans. from Shandong Province of China were studied. These species are: Dryopteris erythrosora (Eaton) O. Ktze., D. fuscipes C. Chr., D. tsoongii Ching, D. crassirhizoma Nakai and D. championii (Benth.) C. Chr., D. lijianxiuii X. J. Li (new species), D. shandongensis J. X. Li & F. Li, D. laoshanensis J. X. Li & S. T. Ma and D. parachinensis Ching & F. Z. Li. The study showed that the perispore ornamentation and submicroscopic structural characteristics of peripheral wall of leaf epidermal cells were stable within each species and have significant differences between species. It does not only provide evidences of submicroscopic structural characteristics for its morphological classification, but also provides a palynological basis for the classification and identification of new pteridophyte resources of Shandong area. A new Identification Key to 9 species of Dryopteris Adans. is prepared using both morphological and SEM characters of spores and leaf epidermis. Therefore, the submicroscopic structural characteristics of palynology and the leaf epidermis of the genus were of great significance in taxonomy. Bangladesh J. Bot. 51(4): 951-960, 2022 (December) Special

Inconsistency of PCA-based water quality index – Does it reflect the quality?

The formalization of a stable water quality index (WQI) from measured hydrogeochemical parameters is essential for the identification and classification of water resources. In the principal component analysis (PCA) based WQI approach, the parameter weight is derived using either PC loading or rotated factor loading from a large number of samples pooled for WQI measurement. The PCA-based approach is paradoxical, as the calculated WQI rating of a sample would rather be dependent on the size, and composition of the population. Though this issue is well anticipated, no attempt has been made to regularize or measure the extent of WQI disagreement. In the present study, the WQI of 106 groundwater samples analyzed for 12 different hydrochemical parameters were modelled using PC loading or rotated factor loading (referred to as PCQ-1, PCQ-2, respectively) approach. Analysis reveals PCQ-1 to be positively biased in 78 % of samples and rating disagreements were evident in 9.43 % of samples. WQI of the data set was estimated using repeated (1000) random non-overlapping 2 to 5-fold data partitioning (containing 21 to 83 samples in each fold) adopting either an in-sample (test set) or out-sample (train set) modelling approach. The mean of WQI deviations in repeated resampling from the reference (i.e., using the entire dataset) has been positive in most of the samples using the PCQ-1 model, irrespective of the fold partition size. The median root mean square deviation values of the data set increased with the number of fold partitioning for in-sample calibration for both PCQ-1 and PCQ-2 approaches. The exclusion of a single water quality parameter from the PCA model can cause up to a 60 % deviation of the WQI score in some water samples. The cross-validation and Monte Carlo resampling approach can serve as a framework to test the stability of PCA-based WQI.

DEFINITION AND CLASSIFICATION OF FINANCIAL RESOURCES OF BUSINESS ENTITIES

The article examines the theoretical aspects of the essence of the concept of financial resources of economic entities and their classification. The scientific approaches of the economic essence, financial resources, defining aspects of the content and essence of this concept, which must be taken into account when defining it, are summarized. Financial resources are a fundamental concept of enterprise finance. There are many definitions of "financial resources". Having analyzed the concept of "financial resources", we can note that there is no unanimous opinion among domestic scientists regarding the definition and significance of its place in the process of business entities. The classification of financial resources is based on a certain criterion. It should be significant, reflect the process of functioning of the financial resources of the business entity. Economists classify financial resources according to the characteristics they consider important. Financial resources of a business entity can be classified by: form of implementation; stages of formation; ownership; origin; creation; directions of use; object of investment; types of business entity's activities; organizational and legal form; coverage sources; types of assets; the urgency of repayment of obligations; the degree of asset liquidity; material structure and purpose. The classification of financial resources of economic entities and the determination of further directions of research on this issue were considered, based on such criteria as sufficiency, branch affiliation, economic conditions and efficiency of use.

Contribution of self-organizing maps in the classification of water resources in the production of drinking water by ultrafiltration

The ultrafiltration process has become essential in most drinking water production facilities. However, the variation in water quality remains difficult to manage, especially during major fouling phenomena. For this reason, the objective of this study is to develop a membrane fouling prediction tool based on seasonal water quality variation. For this, monthly monitoring of 6 water resources in Poitiers and Paris over 8 months was carried out, in which a filtration test was carried out on all the resources to assess their fouling potential and 13 physico-chemical parameters were measured. The collected data were used to build a self-organizing map (SOM) to classify water resources according to their fouling potential. The resulting SOM is able to classify the water resources according to the measured parameters into four clusters: (1) Waters with high TOC and turbidity with high fouling tendency, (2) Waters with average TOC and turbidity with average fouling tendency, (3) Waters with low TOC and turbidity that induce negligible fouling and (4) Very good quality waters that do not cause fouling.