bluuebunny/crossref_metadata_2025 huggingface dataset:
Determining the deterrence forces composition to prevent the unleashing of enemy aggression based on the principles of system analysis
Authors: Koval Mykhailo , Zahorka Oleksii , Shchypanskyi Pavlo , Pavlikovskyi Anatolii , Koretskyi Andrii
Published: March 2023

The task to determine the composition of forces to deter the enemy from starting aggression, that is, to prevent the hot phase of a military conflict, refers to poorly structured problems in the presence of significant uncertainty. This leads to the application of the methodology of system analysis in solving the task. The set of deterrence forces to defeat the enemy is considered as a complex military system, which is the object of this study.
To determine the composition of the enemy's deterrence forces from unleashing armed aggression, this paper reports a devised methodology. The procedure criterion is the effectiveness of deterrence, which is determined by the required ratio of the combat potentials of the aviation of the opposing sides at the end of hostilities.
According to the methodology of system analysis, the procedure is based on the formation of options for the composition of enemy forces and the composition of deterrence forces, assessing the effectiveness of their use during hostilities.
The effectiveness of the use of forces of opposing parties is assessed by using the method of iterations and methods of queuing theory.
Based on the results of the effectiveness assessment, the selection of options for the composition of the deterrence forces is carried out, for which the condition for ensuring the necessary ratio of the combat potentials of the aviation of the parties at the end of hostilities is met. The rational version of the composition of the deterrence forces from those selected is determined by using the taxonomy method, which has made it possible to solve the problem under study. The rational option determines the combat potentials of the components of the deterrence forces, which correspond to the number of units in their composition.
The above methodology should be used by state and military authorities when planning the creation of enemy deterrence forces against unleashing armed aggression.
The application of the procedure is shown in an illustrative example
Anomaly detection in internet of medical things with artificial intillegence
Authors: Hussein Shalau Farhad , Dallalbashi Zena Ez. , Mohammed Ahmed Burhan
Published: March 2023

Internet of things (IoT) becomes the most popular term in the recent advances in Healthcare devices. The healthcare data in the IoT process and structure is very sensitive and critical in terms of healthy and technical considerations. Outlier detection approaches are considered as principal tool or stage of any IoT system and are mainly categorized in statistical and probabilistic, clustering and classification-based outlier detection. Recently, fuzzy logic (FL) system is used in ensemble and cascade systems with other ML-based tools to enhance outlier detection performance but its limitation involves the false detection of outliers. In this paper, we propose a fuzzy logic system that uses the anomaly score of each point using local outlier factor (LOF), connectivity-based outlier factor (COF) and generalized LOF to eliminate the confusion in classifying points as outliers or inliers. Regarding human activity recognition (HAR) dataset, the FL achieved a value of 98.2 %. Compared to the performance of LOF, COF, and GLOF individually, the accuracy increased slightly, but the increase in precision and recall indicates an increase in correctly classified data and that neither true nor abnormal data is classified wrongly. The results show the increase in precision and recall which indicates an increase in correctly classified data. Thus, it can be confirmed that fuzzy logic with input of scores achieved the desired goal in terms of mitigating cases of false detection of anomalous data. By comparing the proposed ensemble of fuzzy logic and different types of local density scores in this study, the outcomes of fuzzy logic presents a new way of elaborating or fusing the different tools of the same purpose to enhance detection performance
Influence of physicochemical properties and structure of mixed solvents propylene glycol – macrogol 400 on their in vitro release
Authors: Bezuglaya Elena , Krasnopyorova Alla , Liapunova Anna , Zinchenko Igor , Lyapunov Nikolay , Sytnik Oksana
Published: March 2023

Aim. To study the density and dynamic viscosity of the mixed solvents propylene glycol (PG) – macrogol 400 (M400), to calculate their excess values and excess activation parameters of viscous flow, to evaluate the features of the structure of the mixed solvents and its influence on the in vitro release of PG and M400.

Materials and methods. The mixed solvents PG - M400 were studied over the entire concentration range at temperatures from 293.15 to 313.15 K. The density and dynamic viscosity were determined, and the excess density, excess dynamic viscosity, activation parameters of viscous flow, and excess activation parameters of viscous flow were calculated. The in vitro release of PG and M400 from the mixed solvents was studied using vertical diffusion cells. The content of PG and M400 in the receptor medium was determined by gas chromatography using validated analytical procedures. The release rate, cumulative content, percentage of released PG or M400, coefficients of correlation and coefficients of determination were calculated.

Results. The isotherms of excess density and excess dynamic viscosity of the mixed solvents PG-M400 pass through a maximum. The enthalpy makes the main contribution to the free activation energy of the viscous flow. The excess free energy is positive and has small values; the values of the excess entropy and excess enthalpy are negative, and the isotherms have the minimum at PG concentrations of 70‑75mol %. The release parameters of M400 are greater in binary mixtures where the M400 structure predominates. At PG content of ~75 mol %, the release parameters for PG and M400 are identical. With the increase in PG content above 75 mol %, when the PG structure predominates in the system, the release parameters of PG increase dramatically, and the release parameters of M400 decrease sharply.

Conclusions. The structure of the binary system PG – M400 depends on its composition. Based on the isotherms of excess activation of viscous flow, it is possible to differentiate the areas where the structure of PG or the structure of M400 dominates, or the mixed structure of the binary solvent prevails. The in vitro release parameters for PG and M400 depend on the structure of the mixed solvents. The greatest difference in the release parameters of PG and M400 was observed in the area where the structure of PG dominates
The study of carbohydrates of corn raw materials
Authors: Karpiuk Uliana , Kyslychenko Viktoriia , Hnoievyі Ihor , Buhay Tatiana , Abudayeh Zead Helmi , Fedosov Andrii
Published: March 2023

The aim. The aim of the study was to study the content of polysaccharide fractions depending on the dissolution, qualitative composition and quantitative content of sugars in corn silk, leaves and roots.
Materials and methods. To study different fractions of polysaccharides - water-soluble polysaccharides (WSPS), pectin substances (PS), hemicelluloses A (HC A) and B (HM B) used a gravimetric method based on the extraction of polysaccharide fractions with a suitable solvent followed by sedimentation and weighing of the sediment. Determination of the qualitative composition and quantitative content of monosaccharides in corn medicinal plant materials (MPM) was carried out by the method of gas chromatography-mass spectrometry (GC/MS).
Results. Conducted studies of corn silk, leaves and roots carbohydrates using the fractionation method indicate the following trend of BAS accumulation in the studied raw materials: the content of WSPS and PS in corn silk exceeded the content of these compounds in other types of raw materials – 4.07±0.14 % and 7.20±0.29 %, respectively; leaves accumulated the most HC A and HC B compared to the content of these fractions in other samples - 6.81±0.21 % and 21.20±0.84 %, respectively. It was established by the GC/MS method that 4 substances were identified in corn silk in the free state: arabinose, glucose, galactose and fructose. After hydrolysis 5 substances were identified in corm silk - arabinose, xylose, mannose, glucose, galactose. Among the free sugars 3 compounds were found in corn leaves - glucose, fructose and sucrose. After hydrolysis, 4 compounds were identified in in corn leaves – arabinose, xylose, glucose and galactose. In corn roots 3 compounds are found in a free form - glucose, fructose and sucrose. After hydrolysis 4 compounds were identified in corn roots - arabinose, xylose, glucose and galactose.
Conclusions. The obtained results indicate a significant content of polysaccharides and sugars in the raw materials of corn, which makes it possible to predict the anti-inflammatory, detoxifying, adsorbing, energetic activity of the studied types of corn plant raw materials
THE METHOD OF ASSESSING THE VALUE OF INFORMATION
Authors: Pilkevych I. A. , Vakaliuk T. A. , Boichenko O. S.
Published: March 2023

Context. The task of assessing the value of the institution’s information as one of the objects of protection of the information security model is considered.

Objective. The goal of the work is the creation of a method of assessing the value of information, which takes into account the time of the final aging of information.

Method. The results of the analysis of methods for evaluating the value of information showed that modern approaches are conventionally divided into two directions. In the first direction, the value of information is calculated as the amount of information in bytes. In the second direction, the value of information is calculated in monetary terms. It is shown that modern approaches do not take into account the influence of time on the value of information. A method of assessing the value of information is proposed, which takes into account such characteristics as the term of final aging of information, the level of its access restriction, importance, and form of ownership. The value of information is presented as a quantitative measure that determines the degree of its usefulness for the owner. It is proposed to calculate the value of the initial value of information during its creation or acquisition by calculating the normalized weight of the coefficients according to the formula of the arithmetic mean. It was shown that the current value of information has a functional dependence on the time of existence of information and the time of its final aging.

Results. The results of the experiment confirm that the value of information has a nonlinear functional dependence on the time of final aging of information.

Conclusions. The conducted experiments confirmed the efficiency of the proposed method of evaluating the value of information and allow recommending it for use in practice to protect the institution’s information. Prospects for further research may include the creation of a methodology for assessing the value of an institution’s information, taking into account the aging of information and subsequent adjustment of measures to protect it.
CLUSTERIZATION OF DATA ARRAYS BASED ON THE MODIFIED GRAY WOLF ALGORITHM
Authors: Shafronenko A. Yu. , Bodyanskiy Ye. V. , Holovin O. O.
Published: March 2023

Context. The task of clustering arrays of multidimensional data, the main goal of which is to find classes of observations that are homogeneous in the sense of the accepted metric, is an important part of the intelligent data analysis of Data Mining. From a computational point of view, the problem of clustering turns into the problem of finding local extrema of a multiextreme function, which are repeatedly started from different points of the original data array. To speed up the process of finding these extrema using the ideas of evolutionary optimization, which includes algorithms inspired by nature, swarm algorithms, population algorithms, etc.

Objective. The purpose of the work is to introduce a procedure for clustering data arrays based on the improved gray wolf algorithm.

Method. A method of clustering data arrays based on the modified gray wolf algorithm is introduced. The advantage of the proposed approach is a reduction in the time of solving optimization problems in conditions where clusters are overlap. A feature of the proposed method is computational simplicity and high speed, due to the fact that the entire array is processed only once, that is, eliminates the need for multi-era self-learning, implemented in traditional fuzzy clustering algorithms.

Results. The results of the experiments confirm the effectiveness of the proposed approach in clustering problems under the condition of classes that overlap and allow us to recommend the proposed method for use in practice to solve problems of automatic clustering big data.

Conclusions. A method of clustering data arrays based on the modified gray wolf algorithm is introduced. The advantage of the proposed approach is the reduction of time for solving optimization problems. The results of the experiments confirm the effectiveness of the proposed approach in clustering problems under the conditions of overlapping clusters.
Construyendo comunidades de esperanza
Authors: Restrepo Moreno Marta Inés
Published: March 2023

Se trata de incursionar en el campo de la esperanza, una virtud que se siente desafada en nuestro tiempo. La autora recorre diferentes perspectivas tanto flosófcas como teológicas, se detiene en las raíces de los sueños, de la estructuración de los deseos que nos hacen caminar, para dar por fn un reconocimiento a las pequeñas comunidades, sobre todo de origen femenino, que en los barrios populares de las grandes urbes y de la Amazonía, construyen, a pesar de las violencias sufridas.
Social Biohacking a pedagogical strategy for the strengthening of education and the promotion of scientific literacy in Medellín, Colombia
Authors: Martínez Juan Felipe Zapata , Posada-Ferez Alejandra , Cardona-Echeverry Andres
Published: March 2023

The impact that quality education and access to information have on the sustainable development of societies is undeniable. A strategy focused on improving the quality of education and the democratization of science is what could be called Social Biohacking. This work proposes a model of Schools of Creation, which integrates social actors with new technologies to solve their own problems, such as the one considered in this work; the deficiencies in the infrastructure of primary and secondary laboratories in countries like Colombia. Free software and "do it yourself" initiatives provide sustainable and replicable alternatives to intervene in problems, such as the lack of laboratory equipment, to guarantee a quality educational environment. Additionally, the experience of intervening communities in the city of Medellin through outreach and scientific literacy, as mechanisms for the democratization of science, is related. The interventions in different communities demonstrate the importance of bringing science closer to everyday life, and its relevance to promote the social appropriation of knowledge.
2.12.1 HEAT TRANSFER IN FOAM SYSTEMS: GENERAL INTRODUCTION
Authors: Gylys Jonas
Published: March 2023

Place in folder after Section 2.11.
3.5.7 EVAPORATORS: ESTIMATION OF HEAT TRANSFER COEFFICIENTS
Authors: Smith R. A. , Hills P. D.
Published: March 2023

Remove existing Sections 3.5.1-3.5.7 from folder and replace with new Sections.
DIGITAL TRANSFORMATION IN OPERATIONS MANAGEMENT: A BIBLIOMETRIC-BASED SYSTEMATIC REVIEW
Authors: DEMİRCAN KESKİN Fatma , ÇİÇEKLİ Ural Gökay
Published: March 2023

Digital transformation undoubtedly has important implications on the discipline of Operations Management. To unveil these effects and interpret the future research directions requires an in-depth review and analysis of the scientific literature on this research area. This study uses a two-stage approach including Systematic Literature Review and bibliometric analysis to draw a broad perspective on the relationship between DT and OM, reveal the thematic evolution of this research area, and inference about potential future research directions. The scope of the analysis includes the articles drawn from the Web of Science and Scopus databases published between 2007 and 2021 in this research area. With the descriptive analysis of 3021 selected articles to the research sample, top articles, authors, countries, journals, and keywords in this research field were determined. Following the descriptive analysis of the data, the co-occurrence analysis of keywords, thematic evolution, and thematic map analysis was conducted using RStudio and VOSviewer.. All bibliometric analyzes were performed using the R Bibliometrix package.
Nanozyme catalytic mimetic effect of iron oxide nanoparticles hybrids with cellulosic matrices and its synergism with microorganisms
Authors: Leonardo Zanata , Derval dos Santos Rosa
Published: March 2023

Iron Oxide Nanoparticles (IONPs) are generally assumed to be biologically inert, presenting chemical stability and low toxicity, and they can be hybridized with cellulosic matrixes aiming for biological applications (e.g. nanozymes). Two hydrothermal coprecipitation methods were applied, aiming to produce 2 different size Iron oxide nanoclusters, using ferric chloride and ferrous chloride, as well as nitrocellulose and cellulosic residues for the hybrids. The obtained materials were tested for catalytic effect in comparison and in synergy with catalase-positive P. aeruginosa, S. aureus, and B. subtilis bacterial strains. The catalytic effect was observed for all obtained materials and microorganisms, Due to the bivalent and trivalent iron molecules distributed along IONP cubic crystalline inverse spinel structures. Michaelis-Menten constant (Km) of IONP-and hybrids was higher in synergy with S. aureus in comparison with the results obtained by the microorganism alone, for instance, the best enzymatic efficiency for O2 release from hydrogen peroxide among the tested microorganisms. However, no significant difference was observed for most of the obtained materials alone. On the other hand, IONPs may help microorganisms as mimetic catalytic enzymes, when applied in synergy whit them.
Immunomodulatory Role of Neuropeptide Y in Intestinal Inflammation
Authors:   The Pharmaceutical Society Of Korea, Lee Yunna , Im Eunok
Published: March 2023

Neuropeptide Y (NPY) is a 36-amino acid peptide found in the brain, autonomic nervous system, and different peripheral tissues, including the gastrointestinal (GI) tract. Dysfunction of the NPY or NPY system has been implicated in various tumor microenvironments and cardiovascular and GI disorders, such as inflammatory bowel disease (IBD). IBD, including Crohn’s disease (CD) and ulcerative colitis (UC), is a major health concern due to its increasing incidence globally. Emerging evidence has demonstrated that NPY also acts as a potent immunomodulator by linking the nervous and immune systems. NPY plays an important role in immunopathology during intestinal inflammation. This paper discusses the potential role of NPY as a valuable biomarker for IBD due to its consistent upregulation in both in vivo and clinical studies. Consequently, it confirms the pro-inflammatory effects of NPY, providing a rational basis for targeting NPY signaling as a therapeutic strategy.
ARGUMENTS AGAINST MORAL REALISM
Authors:   Kyiv National Economic University named after Vadym Hetman Ukraine, Vadym Derkach Vadym Derkach
Published: March 2023

The position of “moral realism”, in which, first, expressions defining the criterion of evaluation are treated as judgements with the meaning of “true/false”, and this criterion itself, second, is thought of as a condition which is a direct fact of independent of human decisions, defining the motive which people should follow, observing the norm-prescription which is thus a universal law, is subjected to critical scrutiny. The root meaning of moral realism is the claim that people are not responsible for moral institutions as their own decisions, they only subordinate their will to something that they must do because they have no choice, alienating their decisions. This real “moral law” is interpreted (in different versions) either as the will of a higher power, given by revelation, to whose decision-making people have nothing to do but must obey it; or as the objective conditioning of choice, learned through the reflection of experience as a natural law; or as a proven theorem whose content follows deductively as a conclusion from a priori comprehensible speculative-intuitive general principles. Despite the difference in the treatment of the ontological status and mode of knowledge of the moral law, all “moral realists” deny the relativity of moral values. However, none of the versions of moral realism clarifies in what sense value can be a value in a subject-less context (value for no one) and how it can be justified as universal by mere stating (accepting it as a condition). In this way “realism” denies itself, since it defines what is thought of as a decision-independent object by the decision to recognize it as independent of decisions (an alienated acceptance of the condition). Substantively, the proof of the existence of a real moral law as motivating is reduced to a tautological repetition of the definition and thus cannot be accepted as proof. In addition, moral realism relies on the false treatment as judgments of expressions that do not contain a description of fact (that is, they are not judgments), even though it relies on this description as a basis for considering something real.
SYSTEMICITY OF UKRAINIAN STUDIES AND CONSOLIDATION OF THE NATION: AN EXISTENTIAL DISCOURSE
Authors:   Research Institute of Ukrainian Studies of the Ministry of Education and Culture of Ukraine (Kyiv) Ukraine, Krysachenko Valentyn
Published: March 2023

Scientific Ukrainian studies has Ukraine as its object of study as a systemic whole in space and time. The body of knowledge about Ukraine creates an empirical foundation, theoretical generalizations create a heuristic image of it and allow the creation of prognostic development models. Depending on the set goal and the tools of their interpretation, the use of such knowledge is included in the following basic constructions: 1) dogmatism, 2) eclecticism, 3) systematicity, and 4) synergy. Systematicity makes it possible to differentiate the object of knowledge (Ukraine) into separate subjects and, thus, comprehensively study it in various ways in certain dimensions of existence. Synergism is aimed at combining subject knowledge about certain features of the object of knowledge into a coherent picture of it. It is in this direction that the main vector of the development of modern Ukrainian studies emerges. The accumulated breadth of objective knowledge about Ukraine changes the creative role in the formation of national consciousness and the development of civil society. In the conditions of a full-scale Russian-Ukrainian war, it is the consolidation of the productive forces of the state that act as a guarantee of its independence and sovereignty.
Prioritization on Information Sharing in Digital Platform for Linking Online Retail and Logistics Systems using AHP
Authors:   The Korean Logistics Research Association, Bang Sun-Ho , Lee Kang-Hyun , Jang Ji-Young , Seon Ha-Neul , Shin Kwang-Sup
Published: March 2023

As the digital transformation and COVID-19 pandemic in retail and logistics industry, the development of digital platform based e-Commerce makes the demand of logistics dramatically increased. Most of sellers take part in the online shopping mall or digital platform has very small volume and they do not have enough budget to invest on building their own information systems. Thus, it is general to use the standard systems which are presented by the platform. Especially, there are various stakeholders such as sellers, suppliers and logistics service providers in the online retail and logistics platform. But, The standard data fields and forms are designed without considering the different requirements, characteristics, and practical applicability in business of different stakeholders. It may cause the unnecessary cost to transmit the non-value added data, make useless data accummulated, and the required data missed. In this research, the stakeholders who take part in the digital platform are categorized as sellers, suppliers and logistics service providers. The data fields which stakeholders can provide and need to share for enhancing the operations are defined. Also, using AHP, the relative importance of each data fields in the different point of view considering each stakeholders’ requirements. According to the result of evaluation, it was concluded that different stakeholder has different priority to create and share data through the digital platform. With the result of this research, it may be possible to design the differentiated data architecture and enhance the efficiency of operations.
A Study on the Efficiency Analysis of Korean Courier Companies
Authors:   The Korean Logistics Research Association, Tak So-Young , Park Hong-Gyue
Published: March 2023

This study has analyzed the efficiency of courier companies in Korea in order to provide direction for growth in the fierce competitive market. Based on a reliable source of data, 15 companies are selected as Decision Making Units. In terms of the analysis, four models are adopted. For static analysis, CCR, BCC, and super-efficiency levels are suggested. For dynamic analysis, Malmquist productivity index are analyzed. The result of the CCR and BCC analysis suggest that 8 companies that found a niche market are found to be efficient. They had competitive edge on specialized areas of business sectors. Super efficiency analysis also showed 12 companies to be efficient which means that in the times of Covid19, companies enjoyed the opportunity of growing cargo demands from Covid19 are found to be operated efficiently. From malmquist analysis, there are companies found to be improved and degraded in terms of efficiency levels. It is obvious that traditional logistics companies with size and network still remain competitive while others either enjoy or struggle to compete and survive in the Korean market.
Pygmy: Innovative Technique to Increase the Utilization of IEEE 802.11n Networks while Running IPv6 Telephony
Authors:   Department of Networks and Information Security, Al-Ahliyya Amman University, Amman, Jordan, Abualhajv Mosleh M. , Alraba'nah ousef H.
Published: March 2023

The large packet header that IPv6 Telephony service uses has resulted in squandering a significant portion of bandwidth available on the IEEE 802.11n network. For example, the portion of the channel duration and capacity consumed by the packet header reaches 86% in IPv6 Telephony over IEEE 802.11n networks. IPv6 Telephony inventors are exerting extensive effort to handle this problem. This study contributes to the current effort by inventing a novel method called Pygmy. The heart of the Pygmy approach is built on using extra fields in the IPv6 Telephony packet’s header to maintain packet payload (i.e., voice data), thus decreasing or zeroing the payload of the IPv6 Telephony packet. Pygmy is a method that drastically cuts down on the enhanced bandwidth of IPv6 Telephony IEEE 802.11n networks. Also, unlike similar methods, the Pygmy method works in any network situation and doesn't add any extra work to the network devices. Findings indicate that the Pygmy approach is capable of decreasing the amount of wasted bandwidth caused by the G.723.1 codec by 23%. Therefore, the bandwidth and channel time of IPv6 Telephony over IEEE 802.11n networks can be successfully reduced by utilizing the Pygmy approach.
Pigeon Inspired Optimization Based Centroid Selection in TGVFCMS for Energy-Efficient Wireless Sensor Network
Authors:   Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India, Krishnan V. Gokula , Murthy K. Sreerama , Dhanalakshmi G. , Sankar K. , Lakshmi S. Venkata , Gowri B. Shyamala
Published: March 2023

Wireless Sensor Network (WSN) includes large quantities of sensing node used in various situations to collect data. WSN considers applications to collect data from remote locations, for example in environment surveillance, military, transport protection, etc. An energy efficient routing protocol is essential to handle the discharged electricity of the system and to minimize traffic and upstairs during data broadcast phases to fulfill the sensing, communication and processing tasks of the WSN. The biggest problem in the WSN is that energy resources are small. In this study, an energy-efficient routing protocol improves energy efficiency with the life span of sensor nodes by using optimization algorithm Pigeon Inspired Optimization (PIO). Clustering technique i.e. Total Generalized Variation Fuzzy c-means clustering (TGVFCMS) is used to select the Cluster Head (CH) and CH folds and bandage the information and direct it to the board node. By its fitness feature, PIO helps to initialize the centroid. After MATLAB simulation, the energy consumption rate was reduced to 25.03% while using PIO. Finally, comparisons are made between the work proposed and the existing current work to assess the effectiveness of the work proposed.
Long-Term Solar Irradiance Forecasting Using Multilinear Predictors
Authors:   Department of optics technique, Alnoor University College, Bartella, Iraq, Sulaiman Abdulamjeed , Mahmood Farhad E. , Majeed Sayf A.
Published: March 2023

As the demand for crude oil is increasing every day, prices and pollution are both increasing in return, which has harmful effects on the environment. Thus, more attempts are being made to develop clean energy to rescue the planet and provide humanity with a cleaner energy source. As the renewable energy sector grows, new issues and challenges have emerged. Instability in electricity production from wind turbines, solar power plants, and dams creates challenges for energy transmission and storage systems. In order to achieve a more reliable and effective energy system, machine learning techniques have been used to forecast energy changes. Predicting the sun's Global Horizontal Irradiance (GHI) is one of the machine learning applications used in that sector. In this paper, many machine learning methods have been utilized, such as linear regression and long-short term memory (LSTM) methods to have long term GHI forecasting. Moreover, the significance of this paper is located in the way of prediction of the GHI irradiance prediction by using different levels of the linear regressors to find the best regressor level that provides the minimum error for the testing set based on cross-validation. Results showed that the regressor method provides a lower error compared with a single vanilla LSTM system for a shorter time computationally.
Effective Relay Using Book of Beams in the NOMA Secondary Network
Authors:   University of Transport and Communications, Hanoi, Vietnam, Tran Hoai Trung
Published: March 2023

Non-Orthogonal Multiple Access (NOMA) technology is considered a strong candidate for 5G systems. The essence of this technique is to ensure that the near user can detect and subtract the far user's signal to get its signal for the detection. In addition, the system still provides enough signal strength for the far user. The article is interested in a 5G system that combines the primary and secondary networks, using an intermediate relay to support signals for the far secondary user. Several techniques involve inducing the transmit beamforming at the relay to produce the best signal at the far secondary user. Still, at the same time, it can generate the lowest interference to the primary; near secondary users and minimize its noise. These methods have some disadvantages, such as the complex optimal transmit beamforming algorithms or still not guaranteeing the smallest outage probability for the near and far users. The method proposed in this paper focuses on providing a book of beams combined with a hierarchical search algorithm to search for the productive beam faster, without complexity, and at the same time can minimize the outage probability thanks to the beamwidth that can be adjustable
Optimization of Gasification Learning in Vocational High Schools using Virtual Laboratories
Authors:   Universitas Sebelas Maret, Faculty of Teacher Training and Education, Jl Ir Sutami 36A Surakarta, Jawa Tengah, Indonesia, Khoirunnisa Gesti , Saputro Herman , Tamrin A. G.
Published: March 2023

A lack of energy-conscious behavior causes wasteful energy use in everyday life. Unfortunately, in Indonesia, energy-conscious behavior is not yet a requirement that must be included in the school curriculum. As a result, not many schools open energy-related classes and teach about energy in Indonesia, even though the Ministry of Education facilitated the establishment of Vocational High Schools (VHS) for energy and mining fields. The slow development of VHS in energy and mining is due to the high cost of procuring laboratory facilities and infrastructure for student practicums. In addition, the lack of supporting equipment in the laboratory causes the learning process in VHS to be theoretical, and the essential competency skills are not optimally fulfilled. This research developed practical energy tools to overcome these problems, especially renewable energy competencies from biomass to energy through gasification. The practicum aid developed is in the form of a Gasification Virtual Laboratory (GVL). This study uses a qualitative method with a case study approach. The case study was selected to develop GVL, which follows the phenomenon of VHS students’ learning abilities, especially for students in grade X. GVL development uses a 4-D model (Define, Design, Develop, and Disseminate). The study results show that GVL is feasible and effective in supporting renewable energy learning at VHS. The GVL development results will be discussed in depth in this paper.
Analysis of Barriers in Conduct of Lab Based Courses in Remote Teaching Learning Paradigm
Authors:   the Amity University Uttar Pradesh, India, Behal Rupashi , Dhir Saru , Hasteer Nitasha , Soni K. M.
Published: March 2023

Many countries are implementing distance learning in response to the Covid19 pandemic. Distance learning helped learners continue their studies as schools and universities were closed due to the pandemic. The purpose of this study is to analyze the impact of Covid-19 lockdown on learners' academic performance. This research focuses on the challenges faced by distance learning learners. The purpose of this study is to identify barriers to distance learning. This study applies the DEMATEL (Decision Making Test and Evaluation Institute) approach to assess the barriers faced by learners in distance learning. The DEMATEL strategy is being used to identify the key factors by identifying the interrelationships between the various factors. A quantitative survey method using a structured questionnaire was carried out. The questionnaire was administered to a cohort of 54 undergraduate engineering students of third semester (2nd year) pursuing Bachelor of Technology (Information Technology) in India. This study found that motivation, social interaction, and resource costs were assessed in causal groups with RiCi scores of 0.332, 0.1774, and 0.113, respectively. Technical concerns and administrative issues are categorized in the effect group with Ri-Ci values of -0.333 and -0.287 respectively and are the most important criteria based on first and second highest Ri+Ci values of 0.646524 and 0.59817, respectively. Our findings reveal that motivation is the most important barrier in remote teaching learning. A sense of self-motivation can be induced by organizing workshops, practical sessions and grooming sessions. The study would benefit academic institutions and learners as it would help them to enrich the remote teaching learning process.
Technology-Enhanced Learning in Higher Education: A Study of Attitudes and Perceptions toward Social Media
Authors:   the Faculty of Hospitality and Tourism, Prince of Songkla University, Phuket 83120 Thailand, Fuchs Kevin , Aguilos Veronica
Published: March 2023

The use of social media technology to support and facilitate undergraduate studies has created a lot of speculation among educators and researchers. The fast adoption of social media technology has caused a fundamental shift in the way people communicate and collaborate. Students utilize social media mostly in their personal lives. However, its use in higher education for instructional reasons is fast-growing. The study aims to examine students’ attitudes and perceptions toward using social media, and the privacy concerns they may associate with the use of social media. A survey questionnaire was used as an empirical data source and the final sample included 197 responses, which were analyzed descriptively. The results revealed that the majority of students are aware of how to use social media comfortably for educational purposes. Nevertheless, concerns were raised regarding a lack of knowledge about rules and regulations, as well as an inability to control the use of social media for educational purposes. The study contributes to the discussion about social media as an educational tool and provides insights into potential obstacles and hurdles in its implementation. The article concludes by discussing the results and providing theoretical and practical implications for academia.
Learning with Tablets in the Primary School: Learners' Perceptions and Impact on Motivation and Academic Performance
Authors:   Sidi Mohamed Ben Abdellah University, Fez, Morocco, Rahali E. A. , Chikhaoui A. , Khattabi K. E. , Ouzennou F.
Published: March 2023

This article aims to evaluate the influence of using tablets for learning in the Moroccan educational context on learners’ motivation and academic performance. To do this, we conducted research in primary school, consisting of two stages: the first is based on a questionnaire, which we used to probe the perceptions of learners towards learning with tablets, and the influence of this practice on their motivations; And the second is an experimentation with tablets in classroom to assess the impact on academic performance. Two groups, respectively of 30 and 35 learners, participated in this second part of the study, in which we used student’s t statistic to compare two independent samples. The results showed, on the one hand, a strong motivational power of the use of the tablets on the learning process; and on the other hand, a positive impact on the learners’ academic performance.
Evaluation of Flexible Learning Module on New Literacies for Preservice Teachers
Authors:   Cebu Normal University, Osmena Boulevard, Cebu City, Philippines, Dapat Lelani , Alda Rivika , Bacus Remedios
Published: March 2023

Reframing educational delivery due to the unprecedented disruption of classes necessitates the utilization of flexible learning materials that cater to students’ diversity. Well-developed self-learning modules become vital to ensure continuity of learning with the flexible instructional modality. Adopting the Plan-Do-Study-Act (PDSA) model and using a mixed method design, this study aimed to develop, implement, and evaluate the self-learning module in Building and Enhancing New Literacies across the Curriculum (BENLAC). A total of 437 preservice teachers from a state university and five content experts evaluated the module using the validated tools: module evaluation tool, questionnaire on preservice teachers’ perceptions about the module, and FGD protocol. Findings revealed that the module is developed following the principles of TAKE — Targeting the course outcomes; Anchoring the Universal Design for Learning and TPACK concepts; Keeping Gagne’s nine events of instruction; and, Engaging through reflections and research. Thematic analysis of the validation resulted in three themes: differentiated activities, research-based, and techno-integrated learning tasks, and rubric-based assessments. The majority of the preservice teachers perceived the module as aligned with the instructional design frameworks of outcomes-based education, TPACK and UDL, Diversity and Inclusivity, and facilitative learning experiences. After the enhancements, the BENLAC module was described as having well-articulated outcomes, techno-integrated activities, and outcomes-based assessments. The rigor of module development and validation provides support to the utilization of the BENLAC module and in-sights for considering adaptations to enhance the preservice teachers’ overall experience.
Students’ Perspectives on Game-Based Learning and Computational Thinking
Authors:   Sebelas Maret University, Surakarta, Indonesia, Lathifah Afra , Asrowi Asrowi , Efendi Agus
Published: March 2023

Currently, in the world of education at various levels, efforts are continuously being made to implement computational thinking skills in learning. Constructivism from computational thinking can guide the suitable learning media, which is becoming a trend in education, i.e., game-based learning. The dominance of game-based learning supports computational thinking well, especially at the junior high school level. Some literature may have discussed computational thinking and game-based learning together or separately. However, this does not rule out the possibility that there is still a lack of information for education providers to implement learning well. Therefore, a systematic review conducted in this study will discuss students’ perspectives on game-based learning in supporting computational thinking at the junior high school level. The search using the PRISMA approach was sourced from four reliable databases, namely Sage, Scopus, Taylor and Francis, and Wiley. Keywords used for searches such as “computational thinking”, “game”, “game-based learning”, “junior high school”, “middle school”, and “secondary school”. Thus, the final result of the study found three main themes related to strengths, challenges, and ideal ways of learning in a game-based learning environment in support of computational thinking.
Ultrasonographic evaluation of masseter muscle thickness in chronic areca nut/ tobacco chewers and oral submucous fibrosis patients
Authors: Kalwagadda Sowjanya , Vaddi Anusha , Manne Rakesh Kumar , Mudda Praveen Kumar , Premara Joshna Rani
Published: March 2023

The benign increase in the size of the masseter muscle is referred to as masseter muscle hypertrophy (MMH). It may affect unilaterally or bilaterally. Frequent and prolonged chewing of areca nut, betel quid, and tobacco exerts undue pressure on muscles of mastication. This may lead to hypertrophy of masticatory muscles, especially the masseter. The objective of the study is to evaluate the difference in cross-sectional thickness of masseter muscle at rest and at maximum clenching position using USG in chronic areca nut/tobacco chewers, OSMF patients, and the control group.

The study included 20 chronic areca nut/tobacco chewers and 18 OSMF consecutive patients. The control group comprised of 42 age, sex, and body mass index-matched healthy individuals. Ultrasonographic measurements were performed in all the subjects in both contracted and relaxed states. Intergroup comparison of ultrasonographic cross-sectional thickness was done using ANOVA with post hoc.

Masseter muscle thickness significantly increased in chronic chewers in both relaxed & contracted states bilaterally when compared to OSMF & control group. Muscle thickness decreased in the OSMF group compared to controls.

In patients with chronic chewing habits without OSMF, due to prolonged chewing muscle thickness increased whereas, in OSMF patients, reduction in mouth opening leads to a decrease in bite force and consequent atrophy of muscle.
Interactive generation of new knowledge based on automatic means of logical inference
Authors: Vassilyev Stanislav N.
Published: March 2023

The work relates to the field of knowledge representation and algorithmization of their processing. To describe the subject of consideration by a set of statements and their processing, logical means of the first order type are used. Unlike the well-known achievements in the field of automatic proof (AP) in formal axiomatic theories, the automatic text synthesis of statements is complicated by the poor formalizability of the value of knowledge concept contained in the text. Based on the development of the calculus of positively-formed standardized formulas (pfs-formulas) the possibilities of analysis automation of the description of the subject matter and interactive generation of meaningful statements to improve this description are investigated. The proposed method of interactive knowledge generation integrates the capabilities of AP with algorithmized human-machine synthesis of new knowledge texts. AP in the calculus of pfs-formulas helps a person not only in the analysis of properties, but also in the choice of the required properties of the description of the subject matter. When the absence of a property desirable for a person in the analyzed knowledge is revealed by means of AP, the hypotheses is formed that logically guarantees the presence of the required property. Variants of hypotheses are automatically synthesized in a preliminary form, which are then refined interactively to improve the content of the generated text of new knowledge. The rules of synthesis are justified. Their application continues the inference in situations of inapplicability of the basic rule of inference in the calculus of pfs-formulas. The extension of calculus by the rules of synthesis transforms it as a first-order calculus of the deductive type into a means of deductive-abductive inference, which differs from the known works using abduction by the absence of a number of restrictions. Illustrative examples demonstrate the representation, analysis and generation of knowledge. These examples also show in interactive knowledge processing the importance of visualization of the processed text, provided by the large-block structure of pfs-formulas constructed from typical quantifiers. In conclusion, the results of the paper and possible directions for the development of the results are formulated.
Data credibility when populating ontologies and knowledge graphs
Authors:   A.P. Ershov Institute of Informatics Systems of Siberian Branch of RAS, Sery A.S.
Published: March 2023

The problem of assessing trust in the information extracted from textual sources to populate ontologies or knowledge graphs is considered. For a unit of information or a fact, the minimum knowledge about an instance of the subject area, expressed by a single RDF triplet, is taken. The paper provides a description of a probabilistic trust evaluation model based on Markov random processes. When assessing, the model is built on the basis of available information about sources, taking into account previously extracted data. A method for assessing the credibility of information with parallel weighting of sources is also provided. The proposed approach is in demand when the quality of the data sources is unknown or unavailable. As part of testing the model, sets of numerical data of various sizes were automatically generated, experiments were carried out to weigh the sources and assess trust in the information extracted from them. It was shown that in most cases the weights of the sources calculated on the basis of the proposed model are the greater, the smaller the average deviation of the information they provide from the true one, and the confidence in facts increases with decreasing distance to the true data. Comparison with data aggregation models is made. In most cases, the aggregation based on the trust score showed the smallest average deviation from the true data among the considered models. The obtained results show that the proposed model is effective in comparison with other similar models and can be used in problems of assessing trust in facts represented by real numbers.