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Journal articles on the topic 'Practical human activity'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Skoliar, Y. N. "Онтологические истоки понимания и практическая деятельность человека". Вестник Вятского государственного университета, № 3(149) (12 січня 2024): 71–78. http://dx.doi.org/10.25730/vsu.7606.23.037.

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The article attempts to study human understanding, the object of which is practical activity, and which, within the framework of the activity approach, becomes a comprehensive strategy and is characterized by unique internal relations of the ontological sphere of the subject of action. The methodological basis of the research is philosophical approaches to defining the understanding of activity, starting with the writings of the ancient Greeks, where it is associated with wisdom, common sense and the solution of controversial problems, to the positions of classical philosophy, in which the und

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Neelima, Mrs P. "Human Activity Recognition Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3605–10. https://doi.org/10.22214/ijraset.2025.69027.

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Abstract: Human Activity Recognition (HAR) focuses on the detection and classification of human movements using data collected from various sources, including video and wearable sensors. This paper presents a deep learning-based approach for identifying daily activities such as walking, running, sitting, and standing by utilizing accelerometer and gyroscope sensor data. HAR plays a vital role in domains like healthcare, smart environments, and fitness tracking. The study employs machine learning (ML) and deep learning (DL) models to address the challenges of data variability and real-time proc

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Kim, Eunju, and Sumi Helal. "A Practical Activity Recognition Approach Based on the Generic Activity Framework." International Journal of E-Health and Medical Communications 3, no. 3 (2012): 54–71. http://dx.doi.org/10.4018/jehmc.2012070105.

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In spite of the obvious importance of activity recognition technology for human centric applications, state-of-the-art activity recognition technology is not practical enough for real world deployments because of the insufficient accuracy and lack of support for programmability. The authors introduce a generic activity framework to address these issues. The generic activity framework is a refined hierarchical composition structure of the traditional activity theory. New activity recognition algorithms that can cooperate with the proposed activity framework and model are proposed. To be practic

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Alikulov, Xakimjon, and Sherzod Azimov. "Philosophical observations on studying the category of being in Human practical activity." ACADEMICIA: An International Multidisciplinary Research Journal 10, no. 7 (2020): 357. http://dx.doi.org/10.5958/2249-7137.2020.00813.7.

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Щемелев, С. Н., Е. М. Коликова, А. А. Хохлов, and Л. И. Шумаева. "HUMAN CAPITAL: DEFINITION AND PRACTICAL SIGNIFICANCE." Финансовые Исследования 25, no. 1 (2024): 80–89. http://dx.doi.org/10.54220/finis.1991-0525.2024.82.1.006.

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Гибридная война, ведущаяся странами Запада против России, всѐ больше становится войной на истощение, что вызывает необходимость радикальной перестройки и ускорения развития экономики нашей страны. Важнейшим фактором развития общественного производства в условиях повсеместной цифровизации экономики и расширения сфер применения искусственного интеллекта является человек. Качественные характеристики рабочей силы, включающие в первую очередь совокупность востребованных компетенций и знаний, приобретают всѐ большее значение. Практическая реализация способностей человека в процессе трудовой деятельн

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Maidansky, A. D. "Practical Materialism” in Understanding Thinking: E.V. Ilyenkov and F.T. Mikhailov." Cultural-Historical Psychology 17, no. 1 (2021): 37–41. http://dx.doi.org/10.17759/chp.2021170106.

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F.T. Mikhailov called E.V. Ilyenkov ‘the first of us’ and was guided in his work on The Riddle of the Self by the dialectical logic Ilyenkov developed — the objective-oriented activity theory of thinking. The article explores the differences between the two editions of this book 'and discusses the concept of ‘practical’ materialism opposing ‘somatic’ materialism. The latter considers organic body, which is gifted to man by nature, to be the subject of activity. In practical materialism, objective activity (social labour) is treated as the substance whose ‘results and moments’, as Mikhailov put

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Liu, Tingyu, Mengming Xia, Qing Hong, et al. "Modeling of cross-scale human activity for digital twin workshop." Digital Twin 1 (March 22, 2024): 11. http://dx.doi.org/10.12688/digitaltwin.17404.2.

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Digital Twin Workshop(DTW), as an important approach to digitalization and intelligentization of workshop, has gained significant attention in manufacturing industry. Currently, digital twin models for manufacturing resources have progressed from theoretical research to practical implementation. However, as a crucial component of workshop, modeling of human activity in workshop still faces challenges due to the autonomy and uncertainty of human beings. Therefore, we propose a comprehensive approach to the modeling cross-scale human activity in digital twin workshop, which comprises macro activ

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Sachura, D. "NEURAL NETWORKS AND THEIR IMPACT ON AREAS OF HUMAN ACTIVITY." Sciences of Europe, no. 119 (June 22, 2023): 47–51. https://doi.org/10.5281/zenodo.8068324.

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The article will describe the basic concepts and principles of neural networks, their practical application in various spheres of activity, development trends, as well as their general impact on information technology. In addition, it will consider the problems associated with a leap in the development of neural networks in recent years.

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Petrova, Mariya. "Self-restoration of landscapes: theoretical and practical aspects." Journal of the Bulgarian Geographical Society 41 (August 14, 2019): 18–22. http://dx.doi.org/10.3897/jbgs.2019.41.3.

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Field surveying and mapping of anthropogenic landscapes, their analysis, and modelling of the complex processes and structure that are formed in them are all relevant questions in contemporary landscape studies. Numerous territories can be observed in our country where, after reducing or terminating of the anthropogenic activity, landscapes that were impacted to various degrees by human activity start gradually restoring to their previous state, having, however, a modified structure with specific complexity. The present piece of research deals with some theoretical and methodological aspects o

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Petrova, Mariya. "Self-restoration of landscapes: theoretical and practical aspects." Journal of the Bulgarian Geographical Society 41 (August 14, 2019): 18–22. https://doi.org/10.3897/jbgs.2019.41.3.

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Field surveying and mapping of anthropogenic landscapes, their analysis, and modelling of the complex processes and structure that are formed in them are all relevant questions in contemporary landscape studies. Numerous territories can be observed in our country where, after reducing or terminating of the anthropogenic activity, landscapes that were impacted to various degrees by human activity start gradually restoring to their previous state, having, however, a modified structure with specific complexity. The present piece of research deals with some theoretical and methodological aspects o

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McCarroll, Pamela R., and HyeRan Kim-Cragg. "Introduction to the Special Issue “Practical Theology Amid Environmental Crises”." Religions 13, no. 10 (2022): 969. http://dx.doi.org/10.3390/rel13100969.

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Haresamudram, Harish, Irfan Essa, and Thomas Plötz. "Contrastive Predictive Coding for Human Activity Recognition." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 2 (2021): 1–26. http://dx.doi.org/10.1145/3463506.

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Feature extraction is crucial for human activity recognition (HAR) using body-worn movement sensors. Recently, learned representations have been used successfully, offering promising alternatives to manually engineered features. Our work focuses on effective use of small amounts of labeled data and the opportunistic exploitation of unlabeled data that are straightforward to collect in mobile and ubiquitous computing scenarios. We hypothesize and demonstrate that explicitly considering the temporality of sensor data at representation level plays an important role for effective HAR in challengin

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Szabó, Dániel Róbert, Anita Borzán, Bernadett Szekeres, and Karina Szászvári. "Human Resource Assessment and Sustainability : Investigating the Measurability of Human Activity." Észak-magyarországi Stratégiai Füzetek 21, no. 2 (2024): 118–27. http://dx.doi.org/10.32976/stratfuz.2024.22.

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Sustainability, as a complex set of goals, has many possible interpretations and approaches the 17 Sustainable Development Goals (SDGs) set out in the document have 169 sub-goals, of which Goal 10 is "reduced inequalities". There are 10 sub-goals linked to this goal, the first of which is aimed at reducing income inequality. Employers have direct responsibility and considerable leeway to develop fair wage systems. For HR professionals, the practical implementation of this is a major task, and their knowledge can therefore be a key factor in achieving SDG 10. In our research, we sought to answe

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Brown, Andrew. "How ideas connect to the world." Studies in East European Thought 76, no. 3 (2024): 465–81. http://dx.doi.org/10.1007/s11212-024-09674-x.

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AbstractThe celebrated Russian philosopher, Evald Ilyenkov, draws on Spinoza to solve a key philosophical problem: how exactly does the mind connect to the real world? However, the proposed solution has come under much criticism, for example in a recent special issue of Studies of East European Thought (74, 3). This paper aims to clearly explain the solution, overcoming misunderstandings that are evident in the special issue. The kernel of the solution is an argument that human cognition rests on practical activity. In practical activity humans do not act on a fixed structure within their own

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Filippova, V. V. "Genetically modified objects: myths and reality. Transgenic foods in human nutrition." Public health of the Far East Peer-reviewed scientific and practical journal 90, no. 4 (2021): 69–72. http://dx.doi.org/10.33454/1728-1261-2021-4-69-72.

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The questions of the use of genetically modified organisms in human practical activity, the peculiarities of technology, the positive aspects for agricultural activity and the role of GMOs in medicine are discussed. Transgenic foods in human nutrition: opinions of their supporters and opponents

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Chen, Kaixuan, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, and Yunhao Liu. "Deep Learning for Sensor-based Human Activity Recognition." ACM Computing Surveys 54, no. 4 (2021): 1–40. http://dx.doi.org/10.1145/3447744.

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The vast proliferation of sensor devices and Internet of Things enables the applications of sensor-based activity recognition. However, there exist substantial challenges that could influence the performance of the recognition system in practical scenarios. Recently, as deep learning has demonstrated its effectiveness in many areas, plenty of deep methods have been investigated to address the challenges in activity recognition. In this study, we present a survey of the state-of-the-art deep learning methods for sensor-based human activity recognition. We first introduce the multi-modality of t

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Ferreira, Paulo J. S., João M. P. Cardoso, and João Mendes-Moreira. "kNN Prototyping Schemes for Embedded Human Activity Recognition with Online Learning." Computers 9, no. 4 (2020): 96. http://dx.doi.org/10.3390/computers9040096.

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The kNN machine learning method is widely used as a classifier in Human Activity Recognition (HAR) systems. Although the kNN algorithm works similarly both online and in offline mode, the use of all training instances is much more critical online than offline due to time and memory restrictions in the online mode. Some methods propose decreasing the high computational costs of kNN by focusing, e.g., on approximate kNN solutions such as the ones relying on Locality-Sensitive Hashing (LSH). However, embedded kNN implementations also need to address the target device’s memory constraints, especia

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Benos, Lefteris, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, and Dionysis Bochtis. "Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture." Applied Sciences 15, no. 2 (2025): 650. https://doi.org/10.3390/app15020650.

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This study addresses a critical gap in human activity recognition (HAR) research by enhancing both the explainability and efficiency of activity classification in collaborative human–robot systems, particularly in agricultural environments. While traditional HAR models often prioritize improving overall classification accuracy, they typically lack transparency in how sensor data contribute to decision-making. To fill this gap, this study integrates explainable artificial intelligence, specifically SHapley Additive exPlanations (SHAP), thus enhancing the interpretability of the model. Data were

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Voskoboynikov, Fred. "AN INTRODUCTION TO THE THEORY OF ACTIVITY (To the memory of my dear friend Gregory Bedny)." Science and Education 2020, no. 3 (2020): 84–91. http://dx.doi.org/10.24195/2414-4665-2020-3-12.

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In this paper we present a brief overview of general, applied and systemic-structural activity theories. Activity Theory (AT) was created in the former Soviet Union by three prominent scholars - Vygotsky, Leont'ev and Rubinshtein. General activity theory was first introduced by the Sergey Rubinshtein (1958). It was further developed in the works of Leont'ev (1977) and Vygotsky (1978). The development of AT was shaped by the practical demand of ergonomics, engineering psychology and education. The important requirement of psychological studies in the former Soviet Union was a possibility to uti

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Murai, Koji, Yuji Hayashi, Kei Kuramoto, et al. "Toward New Practical Education Based on ProfessionalKansei." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 3 (2011): 370–76. http://dx.doi.org/10.20965/jaciii.2011.p0370.

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To evaluate the ship-handling skills andkanseiof professionals and students, we studied physical performance and mental workload using a simulator and an actual ship. We demonstrated the effects of physiological indices based on professional performance and features as seen from their mental workload with heart rate variability, nasal temperature, and salivary amylase activity, and considered new practical education using professionalkansei.

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Pyataeva, Anna V., Mikhail A. Merko, Vladislava A. Zhukovskaya, and Alena A. Kazakevich. "RECOGNITION OF HUMAN ACTIVITY BY VIDEO DATA." International Journal of Advanced Studies 12, no. 4 (2022): 96–110. http://dx.doi.org/10.12731/2227-930x-2022-12-4-96-110.

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The paper considers the problem solution of classifying the type of physical activity of a person according to visual data. The authors propose using of deep neural networks to determine the type of activity. The recognizing human activity from video data or a single image systems are currently actively used in various areas of human activity. As the example we can take the system for monitoring the effectiveness of enterprise employees. So solving the problem of recognizing human actions from visual data is an actual task. The authors developed an algorithm for determining the physical activi

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Kim, Yongseop, Junhyoung Kim, Jung-Min Lee, Dong-Chul Seo, and Hyun Chul Jung. "Intergenerational Taekwondo Program: A Narrative Review and Practical Intervention Proposal." International Journal of Environmental Research and Public Health 19, no. 9 (2022): 5247. http://dx.doi.org/10.3390/ijerph19095247.

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Taekwondo is a modernized martial art that includes various combinations of hand and kicking techniques and core values of Taekwondo philosophy such as courtesy, mutual respect, and self-control. Physical inactivity is highly prevalent among older adults and is a major contributor to health-related problems. Intergenerational physical activity programs are used as an effective tool to make a positive connection between generations and provide additional health benefits for both generations. This review study aimed to examine the theories of intergenerational physical activity programs and prop

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Kim, Yongseop, Junhyoung Kim, Jung-Min Lee, Dong-Chul Seo, and Hyun Chul Jung. "Intergenerational Taekwondo Program: A Narrative Review and Practical Intervention Proposal." International Journal of Environmental Research and Public Health 19, no. 9 (2022): 5247. http://dx.doi.org/10.3390/ijerph19095247.

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Taekwondo is a modernized martial art that includes various combinations of hand and kicking techniques and core values of Taekwondo philosophy such as courtesy, mutual respect, and self-control. Physical inactivity is highly prevalent among older adults and is a major contributor to health-related problems. Intergenerational physical activity programs are used as an effective tool to make a positive connection between generations and provide additional health benefits for both generations. This review study aimed to examine the theories of intergenerational physical activity programs and prop

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Svitlychnyi, O. O., A. V. Piatkova, and O. B. Murkalov. "GIS-TECHNOLOGIES IN GEOGRAPHY – EDUCATION, SCIENCE AND PRACTICAL ACTIVITY." Odesa National University Herald. Geography and Geology 27, no. 2(41) (2023): 67–82. http://dx.doi.org/10.18524/2303-9914.2022.2(41).268701.

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Problem statement and purpose. At the present time GIS‑technologies is finding greater use in different brunches of human activity. In the geography the spatially coordinated information goes through a holistic cycle of collecting information and its practical use including analysis, modelling, mapping, prognosis etc. Studying geography in the university and researching in any science direction connected with spatial information as well the spatial analysis and mapping cannot be done without modern means like program apps, WEB‑resources and instruments of field and remote investigation of Eart

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Ding, Hongjin, Faming Gong, Wenjuan Gong, Xiangbing Yuan, and Yuhui Ma. "Human Activity Recognition and Location Based on Temporal Analysis." Journal of Engineering 2018 (December 16, 2018): 1–11. http://dx.doi.org/10.1155/2018/4752191.

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Current methods of human activity recognition face many challenges, such as the need for multiple sensors, poor implementation, unreliable real-time performance, and lack of temporal location. In this research, we developed a method for recognizing and locating human activities based on temporal action recognition. For this work, we used a multilayer convolutional neural network (CNN) to extract features. In addition, we used refined actionness grouping to generate precise region proposals. Then, we classified the candidate regions by employing an activity classifier based on a structured segm

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Cow, Christopher, Carmen Leung, and James L. Charlton. "Antiviral activity of arylnaphthalene and aryldihydronaphthalene lignans." Canadian Journal of Chemistry 78, no. 5 (2000): 553–61. http://dx.doi.org/10.1139/v00-059.

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A practical method for large scale synthesis of 1-arylnaphthalene and 1-aryl-1,2-dihydronaphthalene lignans is described. The method makes use of the classic Stobbe condensation followed by regioselective reactions that provide access to both the common and retrolactone lignans, e.g., 2 and 3. A total of 25 compounds, many of which are known natural products, were prepared and their antiviral activity against human cytomegalovirus measured.Key words: lignan, Stobbe, arylnaphthalene, antiviral.

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T., Gvilava, and Shirokova E. A. "The effect of aerobic exercise on cognitive abilities of human." Novye issledovania, no. 1(81) (March 31, 2025): 36–47. https://doi.org/10.46742/2072-8840-2025-81-1-36-47.

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The scientific article is devoted to the study of the effect of aerobic physical activity on human cognitive abilities. Key physiological mechanisms are considered, such as improved blood supply to the brain, stimulation of neuroplasticity, increased levels of neurotrophic factors (for example, BDNF), as well as reducing stress levels. Particular attention is paid to practical aspects: the types and volumes of aerobic activity that are most effective for improving memory, attention and other cognitive functions are specified.

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Babosov, Evgeny. "SYNERGETIC MUTUAL REINFORCEMENT OF DIGITALIZATION PROCESSES AND HUMAN CREATIVE ACTIVITY." Economics. Sociology. Law. 02, no. 02 (2023): 33–39. http://dx.doi.org/10.22281/2542-1697-2023-02-02-33-39.

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The author considers topical issues of synergetic effect in the interaction of digitalization processes, as well as in the interaction of people in the field of creative activity. The features of the digitalization of the economy are also considered, which has a great impact on many areas of society, including the social sphere. The article shows that in the process of developing the digital economy, highly intelligent cognitive technologies capable of processing information in unstructured, most often in text form, are becoming the main growth factor. The author considers the issue of the dig

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Bondarenko, Yaroslav, Karina Prosol, and Oksana Kauk. "THE INFLUENCE OF NATURAL CYCLES ON HUMAN COGNITIVE ACTIVITY AND PSYCHOPHYSIOLOGICAL STATE." Grail of Science, no. 51 (April 18, 2025): 816–28. https://doi.org/10.36074/grail-of-science.18.04.2025.113.

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This scientific paper investigates the potential impact of natural cycles, with a particular emphasis on lunar phases, on human cognitive activity, productivity levels, and psychophysiological state. The study explores theoretical mechanisms behind these effects, drawing on insights from neurophysiology, endocrinology, and psychophysiology. The research highlights how gravitational and electromagnetic fluctuations during different lunar phases may influence hormonal balance, neurotransmitter activity, and overall brain function. The practical part of the study involved a comprehensive question

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Iliana Alexandrova Ilieva. "Specific botanical epithets indicating practical application or impact." International Journal of Multidisciplinary Research Updates 1, no. 2 (2021): 005–13. http://dx.doi.org/10.53430/ijmru.2021.1.2.0041.

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The article discusses a small group of specific botanical epithets that indicate plants’ practical application or impact on the environment. As a part of one larger research on the specific epithets in Botany, this article analyzes the used word-forming methods as well as the particular meaning of the included epithets. The lexemes are alphabetically arranged and accompanied by short etymological notes. The binomial names containing each lexeme are listed after it. The specific epithets discussed in the current research are a valuable source of information about the place and importance of dif

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Schäfer, Jörg, Baldev Raj Barrsiwal, Muyassar Kokhkharova, Hannan Adil, and Jens Liebehenschel. "Human Activity Recognition Using CSI Information with Nexmon." Applied Sciences 11, no. 19 (2021): 8860. http://dx.doi.org/10.3390/app11198860.

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Using Wi-Fi IEEE 802.11 standard, radio frequency waves are mainly used for communication on various devices such as mobile phones, laptops, and smart televisions. Apart from communication applications, the recent research in wireless technology has turned Wi-Fi into other exploration possibilities such as human activity recognition (HAR). HAR is a field of study that aims to predict motion and movement made by a person or even several people. There are numerous possibilities to use the Wi-Fi-based HAR solution for human-centric applications in intelligent surveillance, such as human fall dete

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KALKAN, Mürüvvet, and Yilmaz AR. "Classification of human activities by smart device measurements." Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 65, no. 2 (2023): 166–78. http://dx.doi.org/10.33769/aupse.1306885.

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The prevalence of activity detectors in users’ personal mobile devices has been incorporated into an increasing interest in research into physical function recognition (HAR - Human Activity Recognition). With this research interest, different enterprises developed HAR systems working with measurement devices and still work on this subject. Although many HAR systems have been developed, there are still concrete practical limits. This situation is improved with modern techniques such as machine learning. A properly trained machine learning model predicts human activity from measured data. The da

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Sheker, Lina, Vishwanath Petli, and K. Satish Reddy. "Wearable IoT and Artificial Intelligence Techniques for Leveraging the Human Activity Analysis." Journal of Smart Internet of Things 2024, no. 1 (2024): 31–45. https://doi.org/10.2478/jsiot-2024-0003.

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Abstract The integration of wearable Internet of Things (IoT) devices with advanced Artificial Intelligence (AI) techniques has significantly transformed human activity analysis (HAA), It enables precise, real-time monitoring of diverse physical behaviors. This research delves into the design of an efficient and accurate human activity recognition (HAR) system utilizing the WISDM dataset. The dataset comprises accelerometer and gyroscope data collected from wearable devices during various activities, offering a robust foundation for HAR. Despite advancements, existing systems face challenges i

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Elisafenko, T. V., O. V. Dorogina, and A. N. Kupriyanov. "Stages of introduction development as a scientific activity." Проблемы ботаники Южной Сибири и Монголии 21, no. 2 (2022): 26–29. http://dx.doi.org/10.14258/pbssm.2022048.

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The concept of “Introduction” is ambiguous. It is associated with a long period of human introduction activity. There are six stages of introduction development: from 8000 years BC (intuitive stage) to the present. For a long time, the practical development of the introduction was significantly ahead of the theoretical one. In 1972, the adopted definition of introduction, as a purposeful human activity for introduction into culture, reflected the applied direction in introduction. In the XXI century, we observe a culminating development of the theoretical direction -introduction is formed as a

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Alshammari, Sami Aziz, and Nasser S. Albalawi. "Enhancing Healthcare Monitoring: A Deep Learning Approach to Human Activity Recognition using Wearable Sensors." Engineering, Technology & Applied Science Research 14, no. 6 (2024): 18843–48. https://doi.org/10.48084/etasr.9255.

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Wearable devices and deep learning methods for Human Activity Recognition (HAR) have attracted a lot of interest because they could change healthcare monitoring. This study presents a CNN-LSTM model to accurately and reliably detect human movements from smartphone sensor data. The proposed model takes advantage of both the strengths of Long Short-Term Memory (LSTM) networks for modeling time and Convolutional Neural Networks (CNNs) for extracting features from space. This enables determining how the input data change over time and space. This study examines whether this method can work and is

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Wang, Xiao, Zongzhen Wu, Bo Jiang, et al. "HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 6 (2024): 5615–23. http://dx.doi.org/10.1609/aaai.v38i6.28372.

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The main streams of human activity recognition (HAR) algorithms are developed based on RGB cameras which usually suffer from illumination, fast motion, privacy preservation, and large energy consumption. Meanwhile, the biologically inspired event cameras attracted great interest due to their unique features, such as high dynamic range, dense temporal but sparse spatial resolution, low latency, low power, etc. As it is a newly arising sensor, even there is no realistic large-scale dataset for HAR. Considering its great practical value, in this paper, we propose a large-scale benchmark dataset t

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Ryu, Semin, Suyeon Yun, Sunghan Lee, and In cheol Jeong. "Exploring the Possibility of Photoplethysmography-Based Human Activity Recognition Using Convolutional Neural Networks." Sensors 24, no. 5 (2024): 1610. http://dx.doi.org/10.3390/s24051610.

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Various sensing modalities, including external and internal sensors, have been employed in research on human activity recognition (HAR). Among these, internal sensors, particularly wearable technologies, hold significant promise due to their lightweight nature and simplicity. Recently, HAR techniques leveraging wearable biometric signals, such as electrocardiography (ECG) and photoplethysmography (PPG), have been proposed using publicly available datasets. However, to facilitate broader practical applications, a more extensive analysis based on larger databases with cross-subject validation is

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Zhong, Ziwei, and Bin Liu. "Efficient Human Activity Recognition Using Machine Learning and Wearable Sensor Data." Applied Sciences 15, no. 8 (2025): 4075. https://doi.org/10.3390/app15084075.

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With the rapid advancement of global development, there is an increasing demand for health monitoring technologies. Human activity recognition and monitoring systems offer a powerful means of identifying daily movement patterns, which helps in understanding human behaviors and provides valuable insights for life management. This paper explores the issue of human motion state recognition using accelerometers and gyroscopes, proposing a human activity recognition system based on a majority decision model that integrates multiple machine learning algorithms. In this study, the majority decision m

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King, Joyce E. "Staying Human: Forty Years of Black Studies Practical-Critical Activity in the Spirit of (Aunt) Jemima." International Journal of African Renaissance Studies - Multi-, Inter- and Transdisciplinarity 14, no. 2 (2019): 9–31. http://dx.doi.org/10.1080/18186874.2019.1690399.

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Tu, Nguyen Thi Cam. "From the Ideal Human Perspective in Ludwig Feuerbach’s Philosophy to the Practical Human Perspective in Karl Marx’s Philosophy." Journal of Advances in Education and Philosophy 8, no. 04 (2024): 324–28. http://dx.doi.org/10.36348/jaep.2024.v08i04.005.

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Humans are a category that philosophers are always interested in research as they are the object and the subject of cognitive activity in social life. From a humanistic point of view, humans were mentioned in Renaissance philosophy as well as in the Enlightenment era as “Liberty – Equality - Fraternity”. Continuing that humanistic tradition, the ideal human perspective was analyzed more broadly and humanely by Ludwig Feuerbach based on the spirit on Enlightenment philosophy. Nevertheless, an humanistic view of humanity has not helped people liberate themselves to have a real life as Ludwig Feu

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І.В., Полілуєва. "ОСНОВНІ ПІДХОДИ ДО АНАЛІЗУ ЗАКОНОМІРНОСТЕЙ ЕМОЦІЙНО-ВОЛЬОВОЇ РЕГУЛЯЦІЇ ДІЯЛЬНОСТІ ЛЮДИНИ". Вісник Харківського національного педагогічного університету імені Г.С. Сковороди "Психологія", № 52 (14 січня 2016): 293–300. https://doi.org/10.5281/zenodo.44747.

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 The article presents a theoretical analysis of patterns of emotionally-volitional regulation of human activities. Reveals a combination of strong will with a certain level of emotion and personality skills to organize their mental activity and send it. Relationship emotional and volitional aspects of the regulation of human activities. Found property of the individual, which determines the efficacy of thinking, feeling and activity undertaken practical actions and deeds.

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Petreanu, Elena Gheorghe. "Evaluation of activity of internal audit: theoretical features and practical priorities." Problems of Theory and Methodology of Accounting, Control and Analysis, no. 2(49) (September 14, 2021): 40–47. http://dx.doi.org/10.26642/pbo-2021-2(49)-40-47.

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Internal audit is a crucial constituent in supporting the management of the prosperous entity in the circumstances of the competitive economy. The significant structural variations that have taken place in recent years both in the Republic of Moldova and in the world, the determination of new priorities in economic development, the formation of a new management system within the economic entity have contributed to the development of internal audit in several countries. A keen interest in the implementation of internal audit also belongs to the owners, who are interested in monitoring the effec

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Long, Jun, Wuqing Sun, Zhan Yang, and Osolo Ian Raymond. "Asymmetric Residual Neural Network for Accurate Human Activity Recognition." Information 10, no. 6 (2019): 203. http://dx.doi.org/10.3390/info10060203.

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Human activity recognition (HAR) using deep neural networks has become a hot topic in human–computer interaction. Machines can effectively identify human naturalistic activities by learning from a large collection of sensor data. Activity recognition is not only an interesting research problem but also has many real-world practical applications. Based on the success of residual networks in achieving a high level of aesthetic representation of automatic learning, we propose a novel asymmetric residual network, named ARN. ARN is implemented using two identical path frameworks consisting of (1) a

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Thapa, Keshav, Yousung Seo, Sung-Hyun Yang, and Kyong Kim. "Semi-Supervised Adversarial Auto-Encoder to Expedite Human Activity Recognition." Sensors 23, no. 2 (2023): 683. http://dx.doi.org/10.3390/s23020683.

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The study of human activity recognition concentrates on classifying human activities and the inference of human behavior using modern sensing technology. However, the issue of domain adaptation for inertial sensing-based human activity recognition (HAR) is still burdensome. The existing requirement of labeled training data for adapting such classifiers to every new person, device, or on-body location is a significant barrier to the widespread adoption of HAR-based applications, making this a challenge of high practical importance. We propose the semi-supervised HAR method to improve reconstruc

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Karpov, Anatolii V., and Tat'yana V. Razina. "Technique for Studying Motivation Toward Scientific Activity: Development and Practical Application." Российский психологический журнал 15, no. 2/1 (2018): 57–68. http://dx.doi.org/10.21702/rpj.2018.2.1.4.

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Introduction. As our analysis has shown, the literature offers very few publications that address the issue of diagnosing motives for scientific activity in adult research professionals. Being guided by the principles of the meta-system approach, we developed the concept of motivation toward scientific activity as a theoretical foundation for the appropriate diagnostic technique. According to this concept, motivation toward scientific activity includes 10 various motivational subsystems (groups of motives) such as external, internal, value, cognitive, reflexive, and indirect ones, competition-

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Nikishena, Inna S., Olga S. Kulbakh, Natalia Yu Zavarzina, Elena R. Zinkevich, and Andrey A. Fedyaev. "Methodological Aspects of Training Future Clinical Psychologists in Methods of Studying Brain Correlates of Human Mental Functions." Journal of Pedagogical Innovations, no. 2 (July 3, 2025): 129–39. https://doi.org/10.15293/1812-9463.2502.10.

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The central problem of the article is to familiarize the professional teaching community with the peculiarities of organizing practical classes in the academic discipline “Psychophysiology” at the Faculty of Clinical Psychology at the St. Petersburg State Pediatric Medical University. The authors offer pedagogical experience in the formation of general professional competencies of students in the application of scientifically based methods for assessing the level of human mental development, the state of his emotional sphere, using included observation and discussion of the experience of organ

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Hiremath, Shruthi K., Yasutaka Nishimura, Sonia Chernova, and Thomas Plötz. "Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, no. 3 (2022): 1–27. http://dx.doi.org/10.1145/3550294.

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Smart Homes have come a long way: From research laboratories in the early days, through (almost) neglect, to their recent revival in real-world environments enabled through the existence of commodity devices and robust, standardized software frameworks. With such availability, human activity recognition (HAR) in smart homes has become attractive for many real-world applications, especially in the domain of Ambient Assisted Living. Yet, getting started with an activity recognition system in specific smart homes, which are highly specialized spaces inhabited by individuals with idiosyncratic beh

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Leng, Zikang, Amitrajit Bhattacharjee, Hrudhai Rajasekhar, et al. "IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, no. 3 (2024): 1–32. http://dx.doi.org/10.1145/3678545.

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One of the primary challenges in the field of human activity recognition (HAR) is the lack of large labeled datasets. This hinders the development of robust and generalizable models. Recently, cross modality transfer approaches have been explored that can alleviate the problem of data scarcity. These approaches convert existing datasets from a source modality, such as video, to a target modality, such as inertial measurement units (IMUs). With the emergence of generative AI models such as large language models (LLMs) and text-driven motion synthesis models, language has become a promising sour

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Kojalieva, Darikha, and Tabura Turgunbayeva. "BASIC PRINCIPLES OF APPLICATION OF PROBLEMS WITH PRACTICAL CONTENT IN THE PROCESS OF TEACHING MATHEMATICS." Alatoo Academic Studies 20, no. 4 (2020): 91–97. http://dx.doi.org/10.17015/aas.2020.204.11.

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The article reveals the principles of application of tasks with practical content in the process of teaching mathematics. Definitions of such concepts as applied orientation of training, applied task are given. It is concluded that applied tasks in the process of teaching mathematics play a primary role. They can be used for different didactic purposes. The formulation of questions of practical significance in the process of teaching mathematics should change depending on the expansion of human activity, the development of mathematical theory, and new information technologies. The constant com

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Rahman, Moin. "High Velocity Human Factors: Human Factors of Mission Critical Domains in Nonequilibrium." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 4 (2007): 273–77. http://dx.doi.org/10.1177/154193120705100427.

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Mission critical domains (MCDs), such as fire fighting, military combat, etc., experience periods of nonequilibrium. This typically occurs when extended periods of low grade activity are punctuated by intense, high stakes actions unfolding at high velocities (e.g., fighting a fire, engaging in combat, etc.). These periods of nonequilibrium are typically characterized by volatility, uncertainty, complexity and ambiguity. Human agents operating under these conditions experience a variety of reactions, such as emotional modulation of cognition, recognition primed decision making, among others. To

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