bluuebunny/crossref_metadata_2025 huggingface dataset:
METHODICAL ASPECTS OF CONDUCTING PRACTICAL CLASSES TO ENSURE THE QUALITY OF PRODUCTS AND SERVICES DURING THE FUTURE VOCATIONAL EDUCATION SPECIALISTSʼ TRAINING IN DISTANCE LEARNING CONDITIONS
Authors: Filimonova Iryna , Dubova Nataliia
Published: May 2023

The problem of introducing distance learning technologies into the educational process of higher education institutions is one of the most important at the current stage, as they allow to expand the possibilities of traditional learning to the greatest extent, orient the teacher and students to achieve a new educational result. Modern distance education is an extensive system of knowledge transfer at a distance using various means, technologies, and communication systems, which can quite successfully solve the main educational tasks.The purpose of the publication is to investigate the peculiarities of the practical classes organizationʼ in professional disciplines in the conditions of distance learning, to characterize the methodological aspects of ensuring the quality of products and services during the training of future specialists in professional education in the conditions of distance learning.In order to optimize the educational process in the conditions of distance learning, we used problem-based, partially research-based, research-based learning methods and various statistical methods.However, despite the significant advantages of distance learning and the significant results of the work of higher education institutions in the implementation of distance learning, the problem of the effectiveness of theoretical and practical training, the development and implementation of methodological recommendations for the use of innovative technologies during distance learning, etc., remains unresolved. Modern students have educational needs that cannot be met through the traditional educational process. By understanding these features, the teacher can simplify the process of acquiring new competencies, motivate students, activate their educational and cognitive activities and, as a result, improve the effectiveness and efficiency of education. One of the main problems of distance education concerns studentsʼ mastery of theoretical material, starting from its perception during lectures to its processing during independent work.

Keywords: educational process; distance learning; students of higher education; lectures; practical work; food technology; innovative technology; production quality.
PEDAGOGICAL PARTNERSHIP OF THE PRESCHOOL INSTITUTION WITH PARENTS IN TEACHING CHILDRENʼS MOVEMENTSOF EARLY AGE
Authors: Zaliznyak Alla
Published: May 2023

The subject of the article is the pedagogical partnership of a preschool education institution with parents on the problem of learning the movements of young children in physical education. It was emphasized that the extent to which young children master correct movements depends on adults. Because the lack of this influence can lead to a significant lag in psycho-physical development of young children. Therefore, it is the pedagogical partnership of the preschool education institution with parents regarding the problem of teaching the movements of young children that is of great importance. It is noted that early age is one of the important stages in the life of every child. The essence of the concepts: “early age” and “pedagogical partnership” is revealed. It is emphasized that the process of learning the movements of young children is aimed at the formation and improvement of motor skills and abilities. Attention is drawn to the fact that the basis of pedagogical partnership is the idea ofresponsibility of both teachers and parents for teaching the movements of young children. The pedagogical partnership of teachers and parents of young children is based on the principles of openness, equality, voluntarines, which contributes to the activation of parents in the educational process of the preschool education institution. Physical exercises, massage and adult games with children, which contribute to the development of movements in young children, are singled out. It is emphasized that only in joint interaction parents and educators will be able to teach young children the correct movements. In further research, it is planned to consider effective forms of pedagogical partnership between parents and educators of preschool education institutions in teaching children movements.

Keywords: young children; pedagogical partnership; educator; preschool education institution; learning movements; parents; physical education; physical exercises; massage; adult games with children.
Мовна освіта в системі професійної підготовки майбутнього педагога
Authors: Комарівська Надія , Колеснік Катерина , Стахова Інна , Шикиринська Олександра
Published: May 2023

The article reveals the peculiarities of training future primary school teachers for effective teaching of the Ukrainian language. The authors consider the learning process in a modern higher pedagogical institution as an activity-based one, the leading value of which is the activity that is learned, its content, and functions. At the same time, the importance of knowledge is not diminished, when evaluating their effectiveness, it is necessary to take into account competence, initiative, creativity, self-regulation, and the uniqueness of mental abilities. It has been proven that priority attention is given to the content and teaching methods that shape the worldview, personal values, the ability to learn independently, think critically, demonstrate the ability for self-knowledge and self-realization of the future teacher in various types of creative activity, abilities and skills. Learning the Ukrainian language at a higher educational institution should form the ability to use the acquired knowledge and experience to learn new knowledge and solve practical problems, it must be brought into line with the requirements of life. For this, in the presentation of theoretical material, it is desirable to give preference to observations followed by the analysis of facts, their classification and establishment of certain regularities; during language learning, it is necessary to involve students in active mental and speech activity, to develop in them the ability to observe and logically and accurately draw up their conclusions; it is necessary to reasonably correlate communicative orientation and conscious systematization of language material; evaluate the level of knowledge of the language not only by the clear formulation of the rules, but also by the ability to express one's own opinion, argue it and prove it with examples of linguistic facts.
Have you heard about this? An exploration of instructor communication about campus resources to students in biology courses
Authors: Vega Yalila , Meaders Clara Leigh
Published: May 2023

Campus resources provide valuable support for students navigating university, in particular historically excluded students. However, not all students may be aware of these resources or be actively encouraged to use them. As students regularly interface with their instructors for consecutive periods of time, instructor communication about campus resources regarding academic, community, wellness, and career and professional support may have positive motivational and psycho-social impacts for all students, especially historically excluded students. Therefore, we explored the types of campus resources that biology instructors communicate with students and whether they are positively correlated with students’ sense of belonging, motivation to use resources, and course performance in biology courses. We found that, all else equal, student sense of belonging derived from faculty and staff was positively correlated with the number of types of resources that instructors communicated about in their courses. From the students who reported that their instructors promoted campus resources, most students somewhat or strongly agreed that they were motivated to use career and professional development types of resources. Our results support that instructors have the capability to increase student’s cultural wealth by actively communicating various types of campus resources to their students. These results could provide guidance for biology faculty seeking to support students in the classroom and on campus as students are navigating institutions.
Computational Thinking Workshop: A New Way to Learn and Teach Mathematics
Authors: Zuod Rawia , Namukasa Immaculate
Published: May 2023

In this digital era, technology has entered every aspect of our life, including educational system. Computational thinking (CT) and programming are a relatively recent part of certain school curricula. The idea of CT was originated in 1950s, and the first usage of the term CT was by Papert in 1980; the notion/concept was refreshed by Wing in 2006. CT is the focus of attention for many researchers, such as Gadanidis , Namukasa,  Kotsopoulos, Curzon, diSessa, Farris,  Sengupta and so on ; they argued that using CT tools, ideas and activities in mathematics pedagogies and curricula contributes to learning in creative and imaginative ways. In this paper, the ways that students interact with their peers during CT and mathematical thinking activities are investigated in the context of an instrumental case study of 10 elementary students. Observational, interview, and reflection data collected during two workshops were analyzed to determine the ways in which the activities impacted students’ interacting and understanding. Students engaged in three CT activities: symmetry app, Scratch program, and Sphero robot. As a result, CT activities allow students to learn mathematical concepts better, when they are working with CT ideas and activities. This study was limited in its sampling as it only focused on primary grades 3 - 6 in a private school. For future studies, the researchers suggest conducting a study that will include public schools and involve tools for teaching mathematics concepts.
Tumores pardos múltiples en enfermedad renal crónica en paciente en hemodiálisis, a propósito de un caso
Authors: Sanango Reinoso Wilmer , Saquicela Espinoza Luis , Sevilla Rodríguez Carmen , Torres Criollo Larry , Bermeo Astudillo Edisson , Valladarez Vázquez Aida , Sanango Ortiz Roberto
Published: May 2023

La enfermedad renal crónica grados avanzados con y sin terapias de reemplazo renal presenta hiperparatiroidismo secundario a trastornos del metabolismo óseo y mineral lo que aumento las alteraciones esqueléticas, anemia y riesgo cardiovascular. Los niveles séricos de calcio, fósforo, paratohormona, hemoglobina y las imágenes diagnósticas, ayudan al diagnóstico oportuno permitiendo un tratamiento óptimo para disminuir estas afecciones, sin embargo, existe el riesgo de desarrollar alteraciones óseas. Realizamos el análisis clínico de un paciente con tumores pardos consecuencia de hiperparatiroidismo secundario a enfermedad renal crónica.
Absceso dentoalveolar agudo con extravasación sanguínea y su asociación a trauma por mal uso de retenedor Essix. Reporte de caso clínico
Authors: Yánez Zurita Christian , Naranjo Freire Blanca , Benavides  Machuca María Augusta , Bacuilima Chimbo Jessica Paola
Published: May 2023

Las fuerzas excesivas ejercidas sobre los órganos dentarios pueden dar origen a afecciones endodónticas. Un aparato de contención removible de tipo Essix desajustado podría generar efectos indeseables que podrían tener como consecuencia la necrosis pulpar. Sin embargo, en la literatura no existe suficiente evidencia de que los dispositivos de contención removibles postortodoncia puedan llegar a causar lesiones pulpares irreversibles. En el siguiente reporte se presenta el caso clínico de un paciente de 31 años que refirió dolor agudo, localizado y pulsátil en la periferia de la pieza dental #2.3 con 48 horas de evolución que se produjo posterior al uso inapropiado de un retenedor Essix desajustado. Se emplearon métodos de diagnóstico como anamnesis, pruebas de vitalidad e imágenes radiográficas y se determinó la existencia de un absceso periapical agudo con extravasación sanguínea. Como plan de tratamiento se realizó una necropulpectomía y evaluación periódica al primer, tercer y sexto mes, con lo que comprobó la disminución de la lesión y recuperación del tejido ósea circundante. El objetivo de este reporte es presentar el caso clínico de un absceso dentoalveolar causado por traumatismo al utilizar un dispositivo de retención postortodoncia desajustado.
Bayesian model selection for barriers in online learning behaviors
Authors: Khoi Bui Huy
Published: May 2023

The study presents an overview of theories related to e-learning barriers and e-learning behavior. Research and synthesize relevant studies at home and abroad. From related studies, identify barrier factors affecting the online learning behavior of students. Then, the research model and hypotheses for the study are presented. In this study, the author identified 5 barriers affecting students’ online learning behavior in Ho Chi Minh City: economic barriers (ECOB), interaction barriers (IB), psychological barrier (PB), environmental barriers (ENI), and regulatory institutional barriers (RIB). Previous studies revealed that using linear regression. The paper uses the optimum selection by Bayesian consideration for e-learning barriers and e-learning behavior. Get the results, then make recommendations and solutions to help educational administrators reduce barriers to increase students’ effectiveness in online learning in a better way.
3D reconstruction based on hierarchical reinforcement learning with transferability
Authors: Li Lan , He Fazhi , Fan Rubin , Fan Bo , Yan Xiaohu
Published: May 2023

3D reconstruction is extremely important in CAD (computer-aided design)/CAE (computer-aided Engineering)/CAM (computer-aided manufacturing). For interpretability, reinforcement learning (RL) is used to reconstruct 3D shapes from images by a series of editing actions. However, typical applications of RL for 3D reconstruction face problems. The search space will increase exponentially with the action space due to the curse of dimensionality, which leads to low performance, especially for complex action spaces in 3D reconstruction. Additionally, most works involve training a specific agent for each shape class without learning related experiences from others. Therefore, we present a hierarchical RL approach with transferability to reconstruct 3D shapes (HRLT3D). First, actions are grouped into macro actions that can be chosen by the top-agent. Second, the task is accordingly decomposed into hierarchically simplified sub-tasks solved by sub-agents. Different from classical hierarchical RL (HRL), we propose a sub-agent based on augmented state space (ASS-Sub-Agent) to replace a set of sub-agents, which can speed up the training process due to shared learning and having fewer parameters. Furthermore, the ASS-Sub-Agent is more easily transferred to data of other classes due to the augmented diverse states and the simplified tasks. The experimental results on typical public dataset show that the proposed HRLT3D performs overwhelmingly better than recent baselines. More impressingly, the experiments also demonstrate the extreme transferability of our approach among data of different classes.
Improving the competitiveness of aircraft manufacturing automated processes by a deep neural network
Authors: Ruiz Leandro , Díaz Sebastián , González José M. , Cavas Francisco
Published: May 2023

The accuracy and reliability requirements in aerospace manufacturing processes are some of the most demanding in industry. One of the first steps is detection and precise measurement using artificial vision models to accurately process the part. However, these systems require complex adjustments and do not work correctly in uncontrolled scenarios, but require manual supervision, which reduces the autonomy of automated machinery. To solve these problems, this paper proposes a convolutional neural network for the detection and measurement of drills and other fixation elements in an uncontrolled industrial manufacturing environment. In addition, a fine-tuning algorithm is applied to the results obtained from the network, and a new metric is defined to evaluate the quality of detection. The efficiency and robustness of the proposed method were verified in a real production environment, with 99.7% precision, 97.6% recall and an overall quality factor of 96.0%. The reduction in operator intervention went from 13.3% to 0.6%. The presented work will allow the competitiveness of aircraft component manufacturing processes to increase, and working environments will be safer and more efficient.
Clustering-based improved adaptive synthetic minority oversampling technique for imbalanced data classification
Authors: Jin Dian , Xie Dehong , Liu Di , Gong Murong
Published: May 2023

Synthetic Minority Oversampling Technique (SMOTE) and some extensions based on it are popularly used to balance imbalanced data. In this study, we concentrate on solving overfitting of the classification model caused by choosing instances to oversample that increase the occurrence of overlaps with the majority class. Our method called Clustering-based Improved Adaptive Synthetic Minority Oversampling Technique (CI-ASMOTE1) decomposes minority instances into sub-clusters according to their connectivity in the feature space and then selects minority sub-clusters which are relatively close to the decision boundary as the candidate regions to oversample. After application of CI-ASMOTE1, new minority instances are only synthesized within each connected region of the selected sub-clusters. Considering the diversity of the synthetic instances in each selected sub-cluster, CI-ASMOTE2 is put forward to extend CI-ASMOTE1 by keeping all features of those instances in the feature space as different as possible. The experimental evaluation shows that CI-ASMOTE1 and CI-ASMOTE2 improve SMOTE and its extensions, especially in the occurrence of overlaps between the minority instances and the majority instances.
A prototype selection technique based on relative density and density peaks clustering for k nearest neighbor classification
Authors: Xiang Lina
Published: May 2023

k-nearest neighbor classifier (KNN) is one of the most famous classification models due to its straightforward implementation and an error bounded by twice the Bayes error. However, it usually degrades because of noise and the high cost in computing the distance between different samples. In this context, hybrid prototype selection techniques have been postulated as a good solution and developed. Yet, they have the following issues: (a) adopted edition methods are susceptible to harmful samples around tested samples; (b) they retain too many internal samples, which contributes little to the classification of KNN classifier and (or) leading to the low reduction; (c) they rely on many parameters. The main contributions of our work are that (a) a novel competitive hybrid prototype selection technique based on relative density and density peaks clustering (PST-RD-DP) are proposed against the above issues at the same time; (b) a new edition method based on relative density and distance (EMRDD) in PST-RD-DP is first proposed to remove harmful samples and smooth the class boundary; (c) a new condensing method based on relative density and density peaks clustering (CMRDDPC) in PST-RD-DP is second proposed to retain representative borderline samples. Intensive experiments prove that PST-RD-DP outperforms 6 popular hybrid prototype selection techniques on extensive real data sets in weighing accuracy and reduction of the KNN classifier. Besides, the running time of PST-RD-DP is also acceptable.
Attribute-guided and attribute-manipulated similarity learning network for fashion image retrieval
Authors: Wan Yongquan , Yan Cairong , Zou Guobing , Zhang Bofeng
Published: May 2023

Learning the similarity between fashion items is essential for many fashion-related tasks. Most methods based on global or local image similarity cannot meet the fine-grained retrieval requirements related to attributes. We are the first to clearly distinguish the concepts of attribute name and their values and divide fashion retrieval tasks that combine images and text into: attribute-guided retrieval and attribute-manipulated retrieval. We propose a hierarchical attribute-aware embedding network (HAEN) that takes images and attributes as input, learns multiple attribute-specific embedding spaces, and measures fine-grained similarity in the corresponding spaces. It can accurately map different attributes to the corresponding areas of the image, thereby facilitating the feature fusion of two different modalities of text and image, including enhancement and replacement. Then on this basis, we propose three attribute-manipulated similarity learning methods, HAEN_Avg, HAEN_Rec, and HAEN_Cmb. With comprehensive validation on two real-world fashion datasets, we demonstrate that our methods can effectively leverage semantic knowledge to improve image retrieval performance, including attribute-guided and attribute-manipulated retrieval tasks.
Quantum-behaved particle swarm optimization with dynamic grouping searching strategy
Authors: You Qi , Sun Jun , Palade Vasile , Pan Feng
Published: May 2023

The quantum-behaved particle swarm optimization (QPSO) algorithm, a variant of particle swarm optimization (PSO), has been proven to be an effective tool to solve various of optimization problems. However, like other PSO variants, it often suffers a premature convergence, especially when solving complex optimization problems. Considering this issue, this paper proposes a hybrid QPSO with dynamic grouping searching strategy, named QPSO-DGS. During the search process, the particle swarm is dynamically grouped into two subpopulations, which are assigned to implement the exploration and exploitation search, respectively. In each subpopulation, a comprehensive learning strategy is used for each particle to adjust its personal best position with a certain probability. Besides, a modified opposition-based computation is employed to improve the swarm diversity. The experimental comparison is conducted between the QPSO-DGS and other seven state-of-art PSO variants on the CEC’2013 test suit. The experimental results show that QPSO-DGS has a promising performance in terms of the solution accuracy and the convergence speed on the majority of these test functions, and especially on multimodal problems.
Generation and Characterization of the First Murine Model of Alzheimer’s Disease with Mutated AβPP Inserted in a BALB/c Background (C.B6/J-APPswe)
Authors: Balietti Marta , Casoli Tiziana , Giorgetti Belinda , Colangeli Roberto , Nicoletti Cristina , Solazzi Moreno , Pugliese Arianna , Conti Fiorenzo
Published: May 2023

Background:

Numerous mouse models of Alzheimer’s disease (AD) are available, but all suffer from certain limitations, thus prompting further attempts. To date, no one model exists with amyloidopathy in a BALB/c strain.

Objective:

To generate and characterize the C.B6/J- APP swe mouse, a model of AD with a mutated human gene for the amyloid-β protein precursor (AβPP) inserted in a BALB/c background.

Methods:

We analyzed five groups at different ages (3, 6, 9, 12, and 16–18 months) of C.B6/J- APP swe and wild-type mice (50% males and 50% females) for the main hallmarks of AD by western blotting, amyloid-β (Aβ) ELISA, immunocytochemistry, electrophysiology, and behavioral tests.

Results:

The C.B6/J- APP swe mouse displays early AβPP and Aβ production, late amyloid plaques formation, high level of Tau phosphorylation, synaptic deficits (reduced density and functional impairment due to a reduced post-synaptic responsiveness), neurodegeneration caused by apoptosis and necroptosis/necrosis, microgliosis, astrocytic abnormalities, and sex-related differences in explorative behavior, anxiety-like behavior, and spatial long-term and working memories. Social housing is feasible despite the intra-cage aggressiveness of male animals.

Conclusion:

C.B6/J- APP swe mice develop most of the distinctive features of AD and is a suitable model for the study of brain atrophy mechanisms and of the differences between males and females in the onset of cognitive/non-cognitive deficits.
Research on reliable transmission and application security architecture of power IoT based on energy interconnection
Authors: Liu Zehui , Li Rui , Ma Dongjuan , Jing Weizhe , Guo Min , Gao Weixing , Ju Yun
Published: May 2023

Power Internet of Things (IoT) is an important support for digital innovation service of power energy internet, covering all aspects of power system. Power IoT security defense system may have customer data information leakage during transmission because of the use of traditional means of isolation. This paper proposes a reliable transmission and application security architecture for power smart IoT based on energy interconnection, aiming to solve the reliable transmission and security authentication problems existing in power systems. The paper first analyzes the security risk of the grid wise IoT system, proposes an effective power IoT security transmission scheme, and evaluates the safe and reliable transmission of the grid wise IoT system. Then designed a safe and reliable transmission of the grid smart IoT system, to deal with the traditional power network transmission security and communication security problems. The final application is in the construction of the security transmission platform of the wisdom park of Shanxi Electric Power Company, which provides the corresponding security protection capability in the power IoT through the situational awareness security measures of each layer, and realizes the reliable transmission and security application of the source network load storage and other links in the power IoT environment.
Studies on the use of genetic algorithms to improve radial basis neural networks to monitor capacitive voltage transformers online
Authors: Zang Xiaokui , Cao Zhiqiang , Xiao Mengshi , Yang Xiaoou
Published: May 2023

The metering accuracy and stability of the power grid transformer devices are of great concern to all parties of the power grid, power plants and large users, as well as the relevant government departments, with the further deepening of the electric power system reform and the gradual establishment of the electric power spot trading market. The outcomes demonstrate the viability and efficacy of the employed diagnosis method. The completed research can serve as a reference point for China’s development of a capacitive voltage transformer line monitoring system.
Threshold dynamics of an uncertain SIRS epidemic model with a bilinear incidence
Authors: Tan Simin , Zhang Ling , Sheng Yuhong
Published: May 2023

This paper mainly discusses the extinction and persistent dynamic behavior of infectious diseases with temporary immunity. Considering that the transmission process of infectious diseases is affected by environmental fluctuations, stochastic SIRS models have been proposed, while the outbreak of diseases is sudden and the interference terms that affect disease transmission cannot be qualified as random variables. Liu process is introduced based on uncertainty theory, which is a new branch of mathematics for describing uncertainty phenomena, to describe uncertain disturbances in epidemic transmission. This paper first extends the classic SIRS model from a deterministic framework to an uncertain framework and constructs an uncertain SIRS infectious disease model with constant input and bilinear incidence. Then, by means of Yao-Chen formula, α-path of uncertain SIRS model and the corresponding ordinary differential equations are obtained to introduce the uncertainty threshold function R 0 * as the basic reproduction number. Moreover, two equilibrium states are derived. A series of numerical examples show that the larger the value of R 0 * , the more difficult it is to control the disease. If R 0 * ≤ 1 , the infectious disease will gradually disappear, while if R 0 * > 1 , the infectious disease will develop into a local epidemic.
Multi-UAV computing enabling efficient clustering-based IoT for energy reduction and data transmission
Authors: Komala C.R. , Velmurugan V. , Maheswari K. , Deena S. , Kavitha M. , Rajaram A.
Published: May 2023

Internet of Things (IoT) technologies increasingly integrate unmanned aerial vehicles (UAVs). IoT devices that are becoming more networked produce massive data. The process and memory of this enormous volume of data at local nodes, particularly when utilizing artificial intelligence (AI) algorithms to collect and utilize useful information, have been declared vital issues. In this paper, we introduce UAV computing to solve greater energy consumption, delay difficulties using task offload and clustered approaches, and make cloud computing operations accessible to IoT devices. First, we present a clustering technique to group IoT devices for data transmission. After that, we apply the Q-learning approach to accomplish task offloading and allocate the difficult tasks to UAVs that are not yet fully loaded. The sensor readings from the CHs are then collected using UAV path planning. Furthermore, We use a convolutional neural network (CNN) to achieve UAV route planning. In terms of coverage ratio, clustering efficiency, UAV motion, energy consumption, and the number of collected packets, the effectiveness of the current study is finally compared with the existing techniques using UAVs. The results showed that the suggested strategy outperformed the current approaches in terms of coverage ratio, clustering efficiency, UAV motion, energy consumption, and the number of collected packets. Additionally, the proposed technique consumed less energy due to CNN-based route planning and dynamic positioning, which reduced UAV transmits power. Overall, the study concluded that the suggested approach is effective for improving energy-efficient and responsive data transmission in crises.
An annual mixed-mode survey to measure victimisation in France from 2022: The chronicle of an overhaul in 5 acts
Authors: Guedj Hélène , Razafindranovona Tiaray , Zilloniz Sandra
Published: May 2023

In 2022, the “Vécu et ressenti en matière de sécurité” (Experiences and feelings about safety) victimisation survey (107,000 respondents during phase 1, almost 80% of which responded online) designed by the Ministerial Statistical Department for Internal Security (SSMSI) took the place of the “Cadre de vie et sécurité” (Living environment and security) survey, which was conducted annually by INSEE between 2007 and 2021. This new mixed-mode survey, carried out on a large sample of the general population, is the result of a major overhaul that has been under way at the SSMSI since 2019 and which has involved INSEE and all of the national stakeholders with an interest in security. In order for this project to succeed, a thorough review was needed of the existing situation, together with the development and evaluation of an innovative and ambitious protocol in the context of the development of a fast-growing mixed-mode survey and the hosting and management of a consultation within a multidisciplinary committee. The objective of this article is to present, in five acts, the main lines of the project that led to the design of the new survey. This first edition thus marks the beginning of a long-term process that will require future methodological developments which will help to consolidate the knowledge and practices acquired through the switch to a mixed-mode approach for surveys conducted among the general population.
Martha Rogers’ science of unitary human beings in relation to workers health and well-being: A scoping review
Authors: Hedlund Åsa
Published: May 2023

BACKGROUND: Workers’ health and well-being are topics on the rise within occupational research. Rogers’ science of unitary human beings can potentially contribute to increased knowledge in the area. However, no previous review has investigated how the theory has been used in relation to workers in working life. OBJECTIVE: The aim of this scoping review was to provide an overview of studies that have used Rogers’ science of unitary human beings to study workers health and well-being in working life. METHODS: A literature search was conducted in CINAHL and PubMed, and other relevant sources in May-June 2022. RESULTS: The results showed that there seems to be a lack of use of Rogers’ science of unitary human beings regarding workers health and well-being in working life. The overarching theme was: Well-being as an essential phenomenon in working life in all dimensions of existing. CONCLUSION: The theory has potential to contribute more to research regarding workers’ health and well-being in working life.
Deep convolutional neural network based hyperspectral brain tissue classification
Authors: Poonkuzhali P. , Helen Prabha K.
Published: May 2023

BACKGROUND: Hyperspectral brain tissue imaging has been recently utilized in medical research aiming to study brain science and obtain various biological phenomena of the different tissue types. However, processing high-dimensional data of hyperspectral images (HSI) is challenging due to the minimum availability of training samples. OBJECTIVE: To overcome this challenge, this study proposes applying a 3D-CNN (convolution neural network) model to process spatial and temporal features and thus improve performance of tumor image classification. METHODS: A 3D-CNN model is implemented as a testing method for dealing with high-dimensional problems. The HSI pre-processing is accomplished using distinct approaches such as hyperspectral cube creation, calibration, spectral correction, and normalization. Both spectral and spatial features are extracted from HSI. The Benchmark Vivo human brain HSI dataset is used to validate the performance of the proposed classification model. RESULTS: The proposed 3D-CNN model achieves a higher accuracy of 97% for brain tissue classification, whereas the existing linear conventional support vector machine (SVM) and 2D-CNN model yield 95% and 96% classification accuracy, respectively. Moreover, the maximum F1-score obtained by the proposed 3D-CNN model is 97.3%, which is 2.5% and 11.0% higher than the F1-scores obtained by 2D-CNN model and SVM model, respectively. CONCLUSION: A 3D-CNN model is developed for brain tissue classification by using HIS dataset. The study results demonstrate the advantages of using the new 3D-CNN model, which can achieve higher brain tissue classification accuracy than conventional 2D-CNN model and SVM model.
DIGITAL TOOLS FOR THE FORMATION OF ICT COMPETENCE IN FUTURE TEACHERS OF FOREIGN LANGUAGES
Authors: Maiier Natalia , Koval Tamara
Published: May 2023

The article examines the peculiarities of the selection and use of digital tools for the formation of ICT competence of future teachers of foreign languages, in particular, their ability to create electronic educational resources. It was determined that the formation of ICT competence of future IM teachers should be carried out in an integrated manner during the study of normative and selective disciplines of professional and methodical training. Groups of digital tools are proposed, which are expedient to use for the formation of ICT competence in future teachers of foreign languages, namely tools: 1) for creating interactive electronic tasks (training, testing, games), which in the process of use contribute to the formation of foreign language learning subjects communicative competence and control of its formation; 2) visualization of educational material, which involves presenting it in a condensed and visual form, which is convenient for perception and deeper understanding; 3) implementation of synchronous and asynchronous communication in order to organize the educational process in foreign languages. The criteria for the selection of digital tools for the formation of ICT competence of future teachers of foreign languages are formulated and substantiated, and examples of their use for the formation of target competence are given.
TINJAUAN YURIDIS KEKUATAN PEMBUKTIAN KETERANGAN YANG MEMUAT PENGAKUAN BERSALAH DAN HASIL CEK URIN TERDAKWA DALAM PERSIDANGAN TINDAK PIDANA PSIKOTROPIKA (Studi Kasus Pengadilan Negeri Makassar Tahun 2010-2020)
Authors: Agung Andi Indriyani , Muchtar Syamsuddin , Azisa Nur
Published: May 2023

Title Juridical Review The Power of Proof Information Containing Guidance and Results of Urine Check The Defendant in action Trial Psychotropic Criminal (Makassar District Court Case Study From 2010 Until 2020). Superviced by Syamsuddin Muchtar and Nur Azisa. This study aims to determine (1) the strength of proof of the guilty plea and the urine check result of the defendant in a criminal trial. (2) The defendant’s confession of guilt and the result of a urine check can become the basis for a judge’s judgement in deciding a psychotropic crime. This research is a type of normative and empirical research. Data collection techniques through field studies and literature, in this case direct interviews with related parties and collecting library materials relevant to this research. Furthermore, the data obtained was analyzed qualitatively, then presented descriptively in accordance with the explanation that is closely related to this research and then draw a conclusion based on the analysis carried out. The results of this study indicate that (1) the strength of proof of a confession of guilt can be material truth if it is supplemented by positive urine test results in the form of evidence from laboratory results or supplemented by other evidence based on the minimum provisions of evidence based on the minimum provisions of evidence according to the Criminal Procedure Code. (2) The defendant’s confession of guilt and supported by a positive urine test result forms the basis for the judge’s consideration in declaring that the defendant has been proven guilty of committing a psychotropic crime and this confession can be used as a basis for consideration.
СУТНІСТЬ ТА ЗНАЧЕННЯ HR-МЕНЕДЖМЕНТУ В УМОВАХ ГЛОБАЛІЗАЦІЇ
Authors: Дрималовська Х. В.
Published: May 2023

У статті наведено спільні та відмінні характеристики щодо таких понять: управління персоналом та управління людськими ресурсами. Наведено трактування економічної категорії «HR-менеджмент» на основі зазначених відмінностей між управління персоналом та управління людськими ресурсами. На основі наведених визначень ідентифіковано основні підходи до розуміння економічної категорії «HR-менеджмент»: системний, соціальний, стратегічний, інноваційний. Відповідно до наведених підходів пояснено базові складові досліджуваного економічного явища. Представлено основні функції HR-менеджменту: підбір персоналу, навчання та розвиток, мотивація та підтримка. Описано основні завдання в розрізі представлених функцій. Схематично представлено роль HR-менеджменту для суб’єкта господарської діяльності.
УПРАВЛІННЯ ЗОВНІШНЬОЕКОНОМІЧНОЮ ДІЯЛЬНІСТЮ ПІДПРИЄМСТВ У СИСТЕМІ МИТНО-ТАРИФНОГО РЕГУЛЮВАННЯ
Authors: Каліна І. І. , Палій С. А. , Шуляр Н. М.
Published: May 2023

В статті розглядається зовнішньоекономічна діяльність підприємства в системі титно-тарифного регулювання, і зазначається, що зовнішньоекономічна діяльність підприємства є складовою національної економічної політики, і через те підлягає регулюванню з боку держави, яка в свою чергу регулювання здійснює через прийняття низки ефективних нормативно-правових актів. Розглядаються суб’єкти регулювання зовнішньоекономічної діяльності підприємств, до яких відноситься: митні органи, які здійснюють митний контроль; підприємства, як суб’єкти зовнішньоекономічної діяльністі; митні посередники та фізичні особи, які причетні до переміщення товарів і транспортних засобів через кордон Найважливішою формою зовнішньоекономічною діяльністю підприємств є експорт продукції, який вказує на наявність її конкурентоспроможності. Експорт продукції здійснюється через митний контроль на певних етапах переміщення товару: виробництво, збереження, купівля, продаж, навантаження, розвантаження, пакування, транспортування, страхування, використання тощо. Митний контроль являє собою перевірку інформації про країну походження товару, його митної вартості, якості, правильності класифікації відповідно до товарної номенклатури зовнішньоекономічної діяльності, кількості, ваги тощо.
Ispitivanje
životno-praktičnih vještina učenika sedmih i osmih razreda
Authors: Doutlik Karolina , Maltar Okun Tanja
Published: May 2023

Suvremeno obrazovanje teži cjelovitom razvoju učenika odnosno zadovoljavanju njegovih kognitivnih, emocionalnih i motoričkih potreba. U suvremenim se školama podjednaki naglasak stavlja na učenje glavom, srcem i rukama što ujedno omogućava aktivniji položaj učenika u odgojno-obrazovnom procesu. Za budući život sadašnjih učenika od iznimne je važnosti da stječu razne praktične i životno korisne vještine koje u Hrvatskoj trenutni odgojno-obrazovni sustav za to ne priprema dovoljno. Naime, hrvatski učenici u vidu obvezne nastave nemaju prilike razvijati niti stjecati razne praktične vještine kao ni za život korisna znanja ili sposobnosti. Nekada se navedeno učilo i stjecalo u okviru nastavnog predmeta Domaćinstvo i to na praktičnim tečajevima odijevanja, stanovanja i prehrane. Na takav način učenici su usvajali praktična znanja, vještine i osposobljavali se aktivno primjenjivati naučeno u svakodnevnom životu. Provedeno je međužupanijsko istraživanje čiji je cilj bio anketiranjem ispitati roditelje (N = 232) učenika sedmih i osmih razreda o životno-praktičnim vještinama koje imaju njihova djeca. Dobiveni rezultati ukazuju na nužnost uvođenja nastavnog predmeta u kojem bi učenici imali prilike usvajati praktična znanja koja su životno korisna. Rezultati provedenog istraživanja pokazuju kako su životno-praktične vještine učenika sedmih i osmih razreda nedovoljno razvijene te da postoji statistički značajna razlika u posjedovanju istih kao i u sudjelovanju u kućanskim poslovima s obzirom na spol. Istraživanjem su, također, roditelji iskazali pozitivne stavove o implementaciji nastavnog predmeta Domaćinstvo u osnovnoškolsko obrazovanje u Republici Hrvatskoj u kojem bi učenici stjecali takve životno-praktične vještine.
Too much screen
time? – perception and actual smartphone usage, gender differences and academic
success
Authors: Lovreković Tajana , Maljur Tina , Matasić Kristina
Published: May 2023

The number of hours spent using mobile phones has been increasing over the years and is especially visible in younger generations. Interestingly, the body of research on this emerging topic is mainly based on self-assessment measures of screen time. There are few studies on mobile phones in Croatia. Therefore the aim of this study was to examine how many hours Croatian high school students spend on mobile phones and see if there is a discrepancy in self-estimates of high-school students’ screen time compared to the objective measure obtained through an application for screen time tracking. Moreover, gender differences in screen time were analysed, as well as differences between different levels of students’ academic achievement. This study included 156 high-school pupils aged 14 to 18. They were asked to fill out a questionnaire about their smartphone usage habits and attitudes, while their smartphone usage was tracked for one week using the Screen Time application. The analysis was done based on data collected from 130 participants. Most of the students reported that they spend 2 to 4 hours a day using their smartphones, while their actual screen time is, on average, 5 hours and 29 minutes per day. 64.6% of the students underestimated the time spent on their smartphones. Moreover, most of the students believe that it is recommended to spend 1-2 hours a day using a smartphone, while addiction is formed when a phone is used for 2-4 hours a day. There were no significant differences in screen time between students with different school achievements, as well as between male and female students. However, when gender differences were examined for different categories of mobile phone applications, the results showed that female students spent more time on social media applications while male students spent more time using multimedia applications.
Enhancing Visual Arts and Design in Ibogun Campus, Ogun State Amidst Multi-faceted Challenges
Authors: Eni-itan F. Afolabi Benjamin , Peter Odewole O. , Abiodun Adeloye A. , Michael A. Oyinloye
Published: May 2023

This is a discourse on approaches to enhancing visual arts and design on the Ibogun campus of Olabisi Onabanjo University, Ago-Iwoye, Ogun State. The Fine and Applied Arts (FAA) discipline is created for the production of graduates that will be technologically and creatively strengthened to solve industrial and societal problems. This cannot be attained when an institution is faced with multi-faceted challenges linked primarily to a lack of infrastructure caused by poor funding. The main problem is that the FAA Department at Ibogun Campus lacks digital art labs and standard studios to teach the course. Experiential and humanistic learning theories were chosen as the theoretical frameworks that back up this research work. The study aims to identify trends in visual arts and design within the context of Nigerian education with a view to determining solutions to problems facing Fine and Applied Arts as a course and department. By design, this is a qualitative study; thus, the library research method was employed together with observation and unstructured interviews for data gathering. On this premise, reasonable recommendations were put forward. However, while the study acknowledges the efforts of the university management, it uncovered that infrastructural problems are not only affecting FAA and Ibogun campuses; the Ibogun community as a whole is also feeling the hitch. FAA Department was created almost two decades ago but still lacks a brand name, unlike other Nigerian tertiary institutions with special (name) identities for their art schools. Consequently, the study, among other suggestions, recommended that the FAA Departments Ibogun campus be branded as ‘OOU Ibogun Art School, while government intervention through adequate funding is advised. The department also needs to concentrate more on creative technological innovations since this is the era of artificial intelligence.
Installation Art in Public Spaces as Socio-Spatial Framing of Place: Case Study Loominous River Installation Art (2022)
Authors: Sulaiman Nursuliana
Published: May 2023

As a means to revitalise sluggish cities, public and private investment agencies have taken a keen interest in public installation art. As place-making initiatives endeavour to attract valuable trained human talent to their cities, local governments and city councils have deemed art in public spaces indispensable. Installation art in public spaces is crucial for revitalising run-down areas of a city. By placing the individual's perception at the centre of the aesthetic experience, installation art has the potential to help people perceive the city in a different way. Through novel corporeal experiences, it is possible to introduce new narratives of the city. Moreover, such experiences are essential for creating memories and fostering a sense of belonging among the city's residents. The commissioning of installation art is a complex creative process involving multiple stakeholders and public funds. This exploratory essay seeks to examine the public commissioning of installation art as a means to instigate socio-spatial relationships framing a specific location. The primary case study is Loominous River (2022), one of the commission beneficiaries of Thinkcity and Cendana's Project Light in 2021. Through empirical observations of the production process from conception to completion, the author attempts to establish the relationship between installation art and place-making.