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Journal articles on the topic 'Human Anatomical Models Market Trends'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Li, Zhiming, Junzhe Jiang, Yushi Cao, et al. "Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 17 (2025): 18584–92. https://doi.org/10.1609/aaai.v39i17.34045.

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Deep reinforcement learning (DRL) has revolutionized quantitative trading (Q-trading) by achieving decent performance without significant human expert knowledge. Despite its achievements, we observe that the current state-of-the-art DRL models are still ineffective in identifying the market trends, causing them to miss good trading opportunity or suffer from large drawdowns when encountering market crashes. To address this limitation, a natural approach is to incorporate human expert knowledge in identifying market trends. Whereas, such knowledge is abstract and hard to be quantified. In order

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Marzec, Patrycja. "Business Models of Start-Up Innovative Organizations." Kwartalnik Ekonomistów i Menedżerów 52, no. 2 (2019): 161–73. http://dx.doi.org/10.5604/01.3001.0013.2381.

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The growing globalization challenges, as well as numerous civilization changes contribute to the change of management paradigms. Human capital is becoming an extremely valuable resource in any organization that enables dynamic adaptation to emerging market opportunities. Enterprises change their approach to their business, resulting in modern forms of organization. One of them is the start-up innovative organizations, which have received the most attention in this publication. The aim of the article is to identify the most commonly used business models in start-ups and to assess the changing t

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Duan, Chener, Yiran Mi, and Ziye Lan. "Analysis models for China's carbon trading market: comparison and outlook." IOP Conference Series: Earth and Environmental Science 1011, no. 1 (2022): 012012. http://dx.doi.org/10.1088/1755-1315/1011/1/012012.

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Abstract At the national and international levels, human-induced climate change has become a significant political concern, with the large rise in carbon dioxide concentration being a pressing issue that must be addressed. Carbon trading has shown to be one of the most successful strategies to accomplish energy saving and emission reduction as a flexible tool for dealing with climate change. As the nation with the highest carbon emissions today, China’s research on its carbon trading market has a guiding significance to the globe. The study findings of different models focusing on carbon tradi

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Usenko, Olena. "Transformation of approaches to human capital management under current global trends." Ukrainian Journal of Applied Economics and Technology 2025, no. 1 (2025): 278–82. https://doi.org/10.36887/2415-8453-2025-1-46.

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The article identifies key aspects of the transformation of approaches to human capital management considering modern global trends, such as digitalization, technological progress, demographic changes, and socio-economic challenges. The need to adapt traditional models of personnel management to new realities of the labor market is formulated, which includes the implementation of competency-based, inclusive, and innovative approaches. The importance of institutional and financial support for technological modernization through public-private partnership mechanisms is considered, in particular,

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Lee, Su-Jin, and Hyang-Ae Lee. "Advances in cardiac organoid technology: current trends and standardized quality assessment for toxicity testing in preclinical models." Organoid 4 (June 25, 2024): e6. http://dx.doi.org/10.51335/organoid.2024.4.e6.

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Cardiotoxicity is a prominent cause of drug withdrawal, impacting drug development during preclinical and clinical phases, as well as post-market approval. Traditional 2-dimensional cell culture models, despite being resource-rich, suffer from a suboptimal physiological environment. Animal models provide an in vivo setting; however, their use is declining due to interspecies variability and ethical concerns. Cardiac organoids, which are derived from human induced pluripotent stem cells, incorporate human genetic information and contain various cell types within a 3-dimensional environment that

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Oborin, Matvey. "The Consumer Market of the Country: Current Trends." Vestnik Volgogradskogo gosudarstvennogo universiteta. Ekonomika, no. 4 (December 2022): 95–105. http://dx.doi.org/10.15688/ek.jvolsu.2022.4.8.

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This article analyzes the state of the consumer market in the modern realities of our country, examines the trends of its development depending on the implemented strategies of citizens’ behavior in the conditions of economic crisis and the consequences of the coronavirus pandemic. During this period, the demand for goods that restore and protect health increased, including a set of certain elements with which it is possible to restore and maintain human performance, a set of technical devices that are used for the treatment and prevention of various diseases, as well as products that do not c

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Al-Khiami, M. I., S. M. Lindhard, and S. Wandahl. "Charting the Exoskeleton Industry: A Comprehensive Insight into Dynamics and Trends." IOP Conference Series: Earth and Environmental Science 1389, no. 1 (2024): 012014. http://dx.doi.org/10.1088/1755-1315/1389/1/012014.

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Abstract Work-related musculoskeletal disorders (WMSDs) emerge amongst the main causes of early retirement, absenteeism, and loss of productivity in construction and broader industrial sectors, particularly due to repetitive and challenging tasks performed by workers often in non-optimal postures. The situation presses the industrial sector towards a paradigm shift in its traditional practices promoting social sustainability. Exoskeletons, devices designed to support the human body during work, are considered a prominent technology in mitigating WMSDs. Recognizing their potential, necessitates

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Чепиков, А. С. "DEVELOPMENT MARKET TRENDS IN THE CURRENT REALITIES." Прогрессивная экономика, no. 4 (May 9, 2024): 226–36. http://dx.doi.org/10.54861/27131211_2024_4_226.

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Цель исследования заключается в определении ключевых тенденций развития на российском рынке девелопмента. Показано, что с начала пандемии на рынке девелопмента наблюдается стабильный рост объема строящегося жилья, происходящий на фоне постоянного повышения цен на первичном рынке. В 2023 году продажи новостроек достигли своего пика, особенно за счет ипотечных сделок, что свидетельствует о стабильном интересе и доверии к сектору девелопмента. Отмечается наличие тенденции к увеличению нереализованной площади, что создает предпосылки появления избыточного предложения и может привести к корректиров

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ФОМИН, Е. К. "DIGITAL SERVICE ECONOMY: CURRENT TRENDS AND EFFECTS OF HUMAN CAPITAL ON THE LABOR MARKET." Экономика и предпринимательство, no. 8(157) (October 23, 2023): 215–17. http://dx.doi.org/10.34925/eip.2023.157.8.035.

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Развитие информационного общества способствует развитию информационной экономики, система, цифровая экономика, для которой характерно активное использование информации и коммуникаций, технологии и Интернет. Цифровизация приводит к кардинальным изменениям в бизнес-ландшафте, процессы (как основные, так и непрофильные), а также требования и модели работ или услуг и оказывающих значительное влияние на трансформацию человеческого капитала на рынке труда. В статье излагаются научные интерпретации понятие цифровой экономики и анализируется теория постиндустриального общества в контексте развития эко

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Malakayeva, Sabiyat Nabigullaevna, and Oleg Magomedovich Aliev. "EDTECH STARTUPS: FEATURES, PROBLEMS, SUCCESS FACTORS AND MARKET TRENDS." Scientific Review: Theory and Practice 14, no. 9 (2024): 1719–34. https://doi.org/10.35679/2226-0226-2024-14-9-1719-1734.

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In the modern world, technologies play a key role in the development of all spheres of human activity, including education. The emergence and active dissemination of information technologies have opened up new opportunities for learning and development. This has become especially relevant in light of the global changes caused by the COVID-19 pandemic, which has stimulated an increase in interest in distance learning and contributed to the acceleration of the digitalization of educational processes. In such conditions, the e-learning market (EdTech) is becoming one of the most promising areas f

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Blangino, Eugenia, Ramiro M. Irastorza, Sergio Valente, and Fernando Vericat. "Experimental Techniques to Evaluate In Vitro Trabecular Bone Properties and Emerging Numerical Model." Materials Science Forum 638-642 (January 2010): 736–41. http://dx.doi.org/10.4028/www.scientific.net/msf.638-642.736.

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Economical reasons to research and develop new materials are very strong and the main market for biotechnology is human health. Bone is one of the most studied biological material; data and models at different organization levels describe relevant features needed in different applications. Depending on the type of bone, the anatomical location, the human population considered and the level taken into account, the descriptions can differ substantially. In this work, we present a set of properties (mechanical and architectural ones) measured on fresh trabecular bones samples that were extracted

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Zhou, Yu. "The Influence of Investor Sentiment on Stock Market." Advances in Economics, Management and Political Sciences 42, no. 1 (2023): 49–56. http://dx.doi.org/10.54254/2754-1169/42/20232078.

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By combining economics, psychology, and neuroscience, behavioral finance aims to analyze how human emotions and biases influence financial decision-making. The research utilizes the Investor Sentiment Index (CICSI) as a tool to measure market sentiment and examines its correlation with variables such as IPO first-day returns, turnover rate, and new account openings. The findings demonstrate that investor sentiment significantly impacts market behavior. This suggests that individual emotions and cognitive biases play a crucial role in shaping market trends. These conclusions provide valuable in

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Ostrovska, Halyna. "Analysis of the restaurant business intelligent automation market trends." Central Ukrainian Scientific Bulletin. Economic Sciences, no. 10(43) (2023): 143–55. http://dx.doi.org/10.32515/2663-1636.2023.10(43).143-155.

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The article is devoted to the restaurant business intelligent automation market trends. The main reasons for the need to automate business processes at Ukrainian restaurant enterprises have been identified. It is argued that intelligent automation plays an important role in increasing the efficiency and competitiveness of the restaurant industry. The author’s definition of the category “the public catering enterprise processes intelligent automation” is given. The impact of digitization and automation on the accelerated development of FoodNet – a high-tech market for food production and consum

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Grundetjern, Morten, Per Arne Andersen, and Morten Goodwin. "Synthetic Personas: Enhancing Demographic Response Simulation through Large Language Models and Genetic Algorithms." International Journal on Cybernetics & Informatics 14, no. 2 (2025): 21–40. https://doi.org/10.5121/ijci.2025.140202.

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Understanding diverse demographic groups presents a significant challenge in market research. In this paper, we introduce a novel system that integrates large language models with genetic algorithms to create synthetic personas capable of generating feedback that approximates real-world human responses. Our experimental evaluation demonstrates that synthetic personas not only exhibit age-differentiated technology usage patterns consistent with documented trends but also benefit from genetic algorithm optimization, which improves response accuracy from 60.4% to 78.5% on training questions and f

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Lee, Hanbyeol, Jeong Suk Im, Da Bin Choi, and Dong-Hun Woo. "Trends in the global organoid technology and industry: from organogenesis in a dish to the commercialization of organoids." Organoid 1 (July 10, 2021): e11. http://dx.doi.org/10.51335/organoid.2021.1.e11.

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Animal models have been standard methods for non-clinical research in drug development for decades. However, many drugs that have shown satisfactory results in non-clinical studies have failed in the clinical stage, presumably because animal data are not fully convertible to human data. Human organoid technology has recently been considered as an alternative to existing non-clinical testing methods, and it could potentially serve a role as a bridge from non-clinical to clinical trials, compensating for the current limitations arising from non-clinical animal models. For this reason, organoid t

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Matešić, Antonio, Marijana Pavić, and Iris Mihajlović. "DIGITALISATION AND NEW TRENDS IN TRAVEL DISTRIBUTION." DIEM: Dubrovnik International Economic Meeting 7, no. 1 (2022): 162–75. http://dx.doi.org/10.17818/diem/2022/1.16.

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This paper seek to understand the role of new technologies on transformation processes of special areas of business of travel intermediaries even emerging new entities that collaborate with both poles of tourism demand. Special attention is payed to results of modification of distribution channels to be competitive in online travel market. Softwer as channel manager is more than a tool, it is emerging as core intelligence that manage time, impacting on benefits from converegence. New technologies allowed new digital platforms (Booking, Airbnb, Expedia) making travel easier. The preferences of

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Qian, Wei, and Yijie Wang. "Analyzing E-Commerce Market Data Using Deep Learning Techniques to Predict Industry Trends." Journal of Organizational and End User Computing 36, no. 1 (2024): 1–22. http://dx.doi.org/10.4018/joeuc.342093.

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Faced with challenges in sales predicting research, this article combines the capabilities of deep learning algorithms in handling complex tasks and unstructured data. Through analyzing consumer behavior, it selects factors influencing sales, including images, prices and discounts, and historical sales, as input variables for the model. Three different types of neural network models-fully connected neural networks, convolutional neural networks, and recurrent neural networks-are employed to process structured data, image data, and sales sequence data, respectively. This forms a deep neural net

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Barausse, Carlo, Pietro Felice, Roberto Pistilli, et al. "Anatomy Education and Training Methods in Oral Surgery and Dental Implantology: A Narrative Review." Dentistry Journal 12, no. 12 (2024): 406. https://doi.org/10.3390/dj12120406.

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Background: Oral and implant surgery represent highly specialized fields within dentistry that require a deep understanding of complex anatomical structures, together with practical hands-on experience. The present review examines common trends in oral and implant surgery training, focusing on how traditional methods like donated body dissection coexist with different and modern educational tools, and highlights the pros and cons of the different approaches in order to optimize training outcomes. Methods: A systematic literature search was carried out using the databases PubMed and Cochrane Li

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Bhattad, Janhavi. "The Influence of Artificial Intelligence on Algorithmic Trading and Its Impact on Predicting Financial Market Trends." International Journal of Science, Engineering and Technology 13, no. 2 (2025): 1–8. https://doi.org/10.5281/zenodo.15291536.

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This paper explores the transformative role of Artificial Intelligence in algorithmic trading, focusing on its impact on financial market predictions. It investigates how AI-driven models, particularly those employing machine learning techniques such as deep learning and reinforcement learning, have demonstrated remarkable capabilities in forecasting market trends and executing trades with speed and precision surpassing human capabilities. The integration of AI in finance enhances market efficiency by swiftly analyzing vast datasets to predict price movements, identify

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Menegatti, Emanuele, and Tamás Gyulavári. "Who Regulates Employment? Trends in the Hierarchy of Labour Law Sources." International Journal of Comparative Labour Law and Industrial Relations 38, Issue 1 (2022): 31–52. http://dx.doi.org/10.54648/ijcl2022002.

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The hierarchy of labour law sources plays an important role in shaping the employment protection afforded by national labour law. This article provides a comparative overview of the global trends in the relation between the different layers of employment regulation. To this end, it considers three cluster of countries, respectively the European coordinated market economies, the liberal market economies and the European post-socialist countries. This analysis will make it possible to identify common patterns of transformation of the hierarchy of sources, indicating the current direction of labo

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Alonso Conde, Ana B., and Javier Rojo Suárez. "Trends in the explanatory power of factor-based asset pricing models in determining the cost of capital." Cuadernos de Gestión 22, no. 1 (2022): 51–63. http://dx.doi.org/10.5295/cdg.211521aa.

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The recent research on asset pricing shows that the higher liquidity that results from the globalization of financial markets has significantly reduced the returns tied to many market anomaly-based strategies. However, in general, that research does not evaluate the effects that the mitigation of market anomalies may imply on the performance of the classic asset pricing models. On this basis, in this paper we study to what extent the lower returns provided by market anomaly-based strategies imply better performance of those models. Hence, the main purpose of our study is to compare the perform

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Noluthando Zamanjomane Mhlongo, Chinedu Ugochukwu Ike, Olubusola Odeyemi, Favour Oluwadamilare Usman, and Oluwafunmi Adijat Elufioye. "Quantitative models in asset management: A review of efficacy and limitations." World Journal of Advanced Research and Reviews 21, no. 2 (2023): 391–98. http://dx.doi.org/10.30574/wjarr.2024.21.2.0465.

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This review provides a comprehensive overview of the efficacy and limitations associated with quantitative models in the field of asset management. Over the past few decades, the financial industry has witnessed a significant shift towards algorithmic and data-driven approaches in investment decision-making. Quantitative models, ranging from traditional risk-return frameworks to sophisticated machine learning algorithms, play a crucial role in shaping investment strategies and portfolio management. The review begins by examining the strengths of quantitative models, highlighting their ability

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Noluthando, Zamanjomane Mhlongo, Ugochukwu Ike Chinedu, Odeyemi Olubusola, Oluwadamilare Usman Favour, and Adijat Elufioye Oluwafunmi. "Quantitative models in asset management: A review of efficacy and limitations." World Journal of Advanced Research and Reviews 21, no. 2 (2024): 391–98. https://doi.org/10.5281/zenodo.13998233.

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This review provides a comprehensive overview of the efficacy and limitations associated with quantitative models in the field of asset management. Over the past few decades, the financial industry has witnessed a significant shift towards algorithmic and data-driven approaches in investment decision-making. Quantitative models, ranging from traditional risk-return frameworks to sophisticated machine learning algorithms, play a crucial role in shaping investment strategies and portfolio management. The review begins by examining the strengths of quantitative models, highlighting their ability

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Prachi R. kabra, Trupti V Beldar, and Shweta G Bodke. "Nutraceutical and Health." World Journal of Biology Pharmacy and Health Sciences 19, no. 3 (2024): 357–63. http://dx.doi.org/10.30574/wjbphs.2024.19.3.0638.

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Nutraceutical refers to foods having a medicinal effect on health of human beings. It consists of food supplements, herbal products, probiotics and prebiotics, medical foods meant for prevention and treatment of diseases. Major Nutraceutical possess multiple therapeutic effect with lacking of unwanted effects hence attract more consumer interest. Increase in shift towards preventive therapies and increasing disposable income, favourable pricing environment growth in pharma retail chain and increase in healthcare spending is mainly responsible for increasing market for nutraceutical in India, b

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Wen, Jianan. "Market Forecasting Model Based on Artificial Intelligence and Its Application in Marketing Decision-Making." SHS Web of Conferences 213 (2025): 01020. https://doi.org/10.1051/shsconf/202521301020.

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With the rapid development of artificial intelligence technology, its application in market forecasting and marketing decision-making has gradually become an important means for enterprises to achieve competitive advantage. Market forecasting models extract valuable information from massive amounts of data through machine learning and deep learning algorithms, providing enterprises with more scientific market insights and decision support. This article systematically elaborates on the core principles of market forecasting models based on artificial intelligence, including key processes such as

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Sun, Ziqing. "The Impact of AI on Labor Market and the Corresponding Countermeasures." Advances in Economics, Management and Political Sciences 138, no. 1 (2025): 95–100. https://doi.org/10.54254/2754-1169/2024.19224.

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Artificial intelligence (AI) has developed rapidly in recent years, bringing significant convenience to both economic and social life. AI has greatly improved labor productivity and promoted national economic growth. But at the same time, it also brought about significant changes in production and lifestyle. It has shown the most significant influences in the labor market, where the employment structure and income levels in many industries are undergoing significant changes. However, an issue that cannot be overlooked is the substantial impact AI has had on the traditional human resource marke

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Li, Yujin. "From Trends to Drivers: Key Factors Propelling Electric Vehicle Sales." Proceedings of Business and Economic Studies 7, no. 4 (2024): 177–82. http://dx.doi.org/10.26689/pbes.v7i4.8073.

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With the rapid advancement of human economic levels and modern civilization, the automobile manufacturing industry is increasingly confronted with challenges related to energy scarcity and environmental pollution. Low carbon emissions and energy savings have become the main focus of automotive development. Under the influence of government incentives, the sales of household electric vehicles (EVs) have increased significantly, although they still represent a small share of the overall car market. To examine the factors influencing consumer purchases of household EVs, this report integrates bot

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Lauria, Gabriele, and Luca Sineo. "Human Peopling and Population Dynamics in Sicily: Preliminary Analysis of the Craniofacial Morphometric Variation from the Paleolithic to the Contemporary Age." Heritage 6, no. 2 (2023): 1187–208. http://dx.doi.org/10.3390/heritage6020066.

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The geographic position, isolation, and the long and dynamic history of colonization created a human context in Sicily that allows for a particular anthropological study; information about “migratory flow” and “population influx” could be investigated in the cranial morphology of a localized geographical region. The research goals are the identification of temporal trends in facial morphology in order to assess the adaptations and the microevolutionary trends and to verify if the cranial morphology of humans was modified by the various genetic contributions and more or less related to the inte

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Sakhare, Aishwarya, Nihar Mhaskar, Vicky Mishra, and Madhuri Chavan. "Algorithmic trading for a buy-sell platform: study and comparison." ITM Web of Conferences 40 (2021): 03020. http://dx.doi.org/10.1051/itmconf/20214003020.

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With the high-paced change in the world, the market trends are changing fast and so do the technological innovations. The market is constantly moving and being affected by a number of external factors, making it difficult for investors to make decision. To solve this problem, a technique called Algorithmic Trading is being implemented widely. It refers to use of computer algorithms to make trading decisions without human intervention. In this paper, the algorithm used to predict the stock prices is the LSTM model which is a methodology of neural networks.The existing models are less accurate a

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Oğuz, Arhan. "Exploring the Impact of Competitive Intelligence on Business Growth." Human Computer Interaction 8, no. 1 (2024): 141. https://doi.org/10.62802/tgvyya56.

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Competitive intelligence (CI) has emerged as a cornerstone for business growth, providing organizations with actionable insights to navigate complex market dynamics. This research examines the transformative impact of CI on strategic decision-making, market positioning, and organizational performance. By analyzing the methodologies used to gather, interpret, and apply competitive intelligence, the study highlights its role in identifying emerging trends, benchmarking performance, and mitigating risks. Additionally, it explores the integration of CI into digital ecosystems, emphasizing the syne

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Ilsøe, Anna. "The digitalisation of service work – social partner responses in Denmark, Sweden and Germany." Transfer: European Review of Labour and Research 23, no. 3 (2017): 333–48. http://dx.doi.org/10.1177/1024258917702274.

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The discussion on the digitalisation of work has intensified in recent years. The literature points to two main trends accelerated by digitalisation – work automation that eliminates or changes job functions, and the creation of work without jobs via digital platforms. This article addresses the question as to how social partners define digitalisation of work and their perception of its consequences, while also looking at their recent responses to it. Drawing on interviews with unions and employers' organisations in Denmark, Sweden and Germany, it examines social partner initiatives in the uni

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Wagmann, Lea, Tanja M. Gampfer, and Markus R. Meyer. "Recent trends in drugs of abuse metabolism studies for mass spectrometry–based analytical screening procedures." Analytical and Bioanalytical Chemistry 413, no. 22 (2021): 5551–59. http://dx.doi.org/10.1007/s00216-021-03311-w.

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AbstractThe still increasing number of drugs of abuse, particularly the so-called new psychoactive substances (NPS), poses an analytical challenge for clinical and forensic toxicologists but also for doping control. NPS usually belong to various classes such as synthetic cannabinoids, phenethylamines, opioids, or benzodiazepines. Like other xenobiotics, NPS undergo absorption, distribution, metabolism, and excretion processes after consumption, but only very limited data concerning their toxicokinetics and safety properties is available once they appear on the market. The inclusion of metaboli

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Patel, Satish M., and Bhadreshkumar P. Vaghela. "Implementation of use of hand-made three-dimensional models to teach Anatomy with supplement to traditional methods with limited resources." Indian Journal of Clinical Anatomy and Physiology 8, no. 4 (2022): 298–300. http://dx.doi.org/10.18231/j.ijcap.2021.064.

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The status of anatomical education in modern medical programs is a cornerstone of medicine. Anatomy is one of the basic subjects in First Year MBBS curriculum. Apart from important it is also a lengthy subject to complete in allocated time duration of First MBBS. There are various subdivisions of anatomy like gross anatomy, developmental anatomy, microscopic anatomy, genetics, surface anatomy, radiological anatomy etc. Out of which gross anatomy is difficult to understand as time constraint is there in duration of First MBBS. In medical and allied branches total hours allocated for anatomy tea

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Dudin, M. N., S. V. Shkodinskii, and D. I. Usmanov. "Key Trends and Regulations of the Development of Digital business Models of banking services in Industry 4.0." Finance: Theory and Practice 25, no. 5 (2021): 59–78. http://dx.doi.org/10.26794/2587-5671-2021-25-5-59-78.

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The subject of the research is trends in the implementation of digital technologies in the banking sector. The relevance of the paper is due to the objective processes of global digital intervention of technologies in all spheres of human life and society. The research aims to identify, systematize and generalize key trends and regulations in the development of digital business models of banking services in Industry 4.0. For the first time, the authors identified and systematized modern trends and regulations in the development of digital business models of banking services in Industry 4.0, of

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Rajesh Dey. "Machine Learning-Based Automated Trading Strategies for the Indian Stock Market." Journal of Information Systems Engineering and Management 10, no. 26s (2025): 782–93. https://doi.org/10.52783/jisem.v10i26s.4285.

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The Indian stock market is highly volatile and influenced by various macroeconomic factors, making it challenging for traders to consistently achieve profitable trades using traditional methods. Machine learning (ML)-based automated trading systems offer an intelligent, data-driven approach to analyzing historical market trends, detecting patterns, and executing trades with minimal human intervention. This study explores the application of ML techniques in developing automated trading strategies tailored for the Indian stock market. The research focuses on supervised learning methods, such as

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NABILAH BINTI AHMAD, MOHAMAD FAHRURRAZI BIN KAMALUDIN, MOHAMAD AMRIZAD BIN RUSLIN, et al. "Predictive Insights: Using Macro and Micro Models for Wage Growth Forecast in Malaysia." Journal of Economics, Finance and Accounting Studies 7, no. 3 (2025): 01–08. https://doi.org/10.32996/jefas.2025.7.3.1.

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The Malaysian government has implemented the Progressive Wage Policy (PWP) to accelerate wage growth and address the low contribution of employee compensation (CE) to Gross Domestic Product The objective, as outlined in the Twelfth Malaysian Plan (RMKe-12), is to achieve a median wage of RM2,700 per month by 2025 and attain an annual productivity growth rate of 3.7% from 2021 to 2025[22]. In line with this policy, Social Security Organization (PERKESO), an organization under the Ministry of Human Resource, has taken proactive measures to analyze and model wage growth forecasting for the upcomi

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Nyangoma, Daphine, Ejuma Martha Adaga, Ngodoo Joy Sam-Bulya, and Godwin Ozoemenam Achumie. "Market Trend Analysis as a Strategic Tool for Workforce Development Programs: A Data-Driven Conceptual Model." International Journal of Advanced Multidisciplinary Research and Studies 5, no. 2 (2025): 1239–46. https://doi.org/10.62225/2583049x.2025.5.2.3972.

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In an era of rapid economic and technological transformation, workforce development programs must evolve to meet the changing demands of labor markets. This paper explores market trend analysis as a strategic tool for optimizing workforce development initiatives through data-driven conceptual models. The study highlights the importance of aligning training programs with emerging job requirements by examining labor market intelligence, employment projections, and industry trends. Theoretical frameworks such as labor economics, human capital theory, and workforce analytics provide a foundation f

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Shiva Krishna Kodithyala. "Synergy of AI and human expertise: The new paradigm in platform engineering quality assurance." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 811–18. https://doi.org/10.30574/wjaets.2025.15.2.0636.

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This article explores the transformative role of artificial intelligence in platform engineering and quality assurance, introducing the concept of AI-Informed Testing as a paradigm shift beyond traditional automation. The article examines how AI-powered testing agents, machine learning models, predictive analytics, and integration with existing workflows collectively enhance the software testing lifecycle. Through an article analysis of implementation data across multiple industry sectors, the article demonstrates significant benefits in time-to-market acceleration, strategic resource allocati

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Savchenko, M. V., D. V. Krivoruchko, and D. S. Sydorchuk. "International Tourism in the Context of the COVID-19 Pandemic: Trends and Development Models." Management of Economy: Theory and Practice. Chumachenko’s Annals, no. 2021 (December 23, 2021): 174–89. http://dx.doi.org/10.37405/2221-1187.2021.174-189.

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Covid-19 is a modern pandemic of the 21st century that has changed the course of human history. In 2019, the pandemic increased its development, spread and mutation, which had a negative impact on humanity, countries and their economies. But for about three years now, Covid-19 has become an integral part of human life, with the unexpected effects of the pandemic affecting all areas of economic activity and their functioning, including international tourism. The international industry is quite extensive and has many directions of its development, which affected each of them during the pandemic.

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Zhang, Zhenyan. "The Impact of Blockchain Technology on Financial Markets and Its Future Trends: An Economic Perspective Based on Data Analysis." Modern Management Science & Engineering 6, no. 1 (2024): p205. http://dx.doi.org/10.22158/mmse.v6n1p205.

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Based on the economic perspective of data analysis, this paper deeply discusses the impact of blockchain technology on the financial market and its future trend. By using econometrics, we systematically analyze how blockchain technology can change the operation mechanism of financial markets, improve transaction efficiency, reduce transaction costs, and enhance the security and transparency of financial markets. The study has found that the decentralized nature of blockchain technology can help to break down the barriers of the traditional financial market and promote the popularization and in

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A. N. Beisembina, G. N. Dugalova, A. K. Jussibaliyeva, R. A. Yesbergen, and I. T. Imangaliyeva. "METHODOLOGICAL APPROACHES TO THE FUNCTIONING OF THE LABOUR MARKET IN THE CONTEXT OF ENSURING EMPLOYMENT OF THE POPULATION." Bulletin of Toraighyrov University. Economics series, no. 3.2024 (September 30, 2024): 50–62. http://dx.doi.org/10.48081/mzji5967.

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In modern terms, the labour market is a complex socio-economic process that develops within the framework of social reproduction of labour potential. This mechanism creates a link between workers acting simultaneously in the roles of consumers and suppliers of labour resources. In today’s highly dynamic and innovation-oriented economy, there is a need for new forms of labour activity. These forms provide for flexibility, efficiency and constant renewal in the content, structure and types of labour, contributing to the improvement of the quality of human capital and the realisation of the intel

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Talagaeva, D. A. "HISTORICAL DEVELOPMENT OF THE CONCEPT OF IRRATIONALITY IN ANTHROPOLOGICAL MODELS OF ECONOMIC SCIENCE." Vestnik Bryanskogo gosudarstvennogo universiteta 63, no. 01 (2025): 134–48. https://doi.org/10.22281/2413-9912-2023-09-01-134-148.

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The article deals with the evolution of ideas about irrationality in anthropological models of economic science. The author analyzes the dynamics of the development of economic theory, starting from the classical political economy of A. Smith and D. Ricardo, and ending with modern trends, highlighting their attempts to interpret and overcome the manifestations of irrationality. Smith and D. Ricardo, and ending with modern trends, highlighting their attempts to interpret and overcome the manifestations of irrationality in human behavior. Particular attention is paid to the transformation of the

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Kobayashi, Yoshiyuki, Sakiko Saito, and Tatsuya Murahori. "Classification of Fashion Models’ Walking Styles Using Publicly Available Data, Pose Detection Technology, and Multivariate Analysis: From Past to Current Trendy Walking Styles." Sensors 24, no. 12 (2024): 3865. http://dx.doi.org/10.3390/s24123865.

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Understanding past and current trends is crucial in the fashion industry to forecast future market demands. This study quantifies and reports the characteristics of the trendy walking styles of fashion models during real-world runway performances using three cutting-edge technologies: (a) publicly available video resources, (b) human pose detection technology, and (c) multivariate human-movement analysis techniques. The skeletal coordinates of the whole body during one gait cycle, extracted from publicly available video resources of 69 fashion models, underwent principal component analysis to

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Okwaraoha, Felix Chisomebi. "Integrating AI into Financial Models." International Journal of Management and Organizational Research 2, no. 2 (2023): 125–36. https://doi.org/10.54660/ijmor.2025.4.1.125-136.

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By improving accuracy, efficiency, and predictive power, the incorporation of Artificial Intelligence (AI) into financial models has revolutionized conventional financial analysis. AI-driven models process massive datasets, find patterns, and produce insights that enhance financial decision-making by utilizing machine learning (ML), deep learning (DL), and natural language processing (NLP). Conventional financial models frequently find it difficult to adjust to changing market conditions because they are based on statistical techniques and previous data. However, financial institutions can imp

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Rukmana, Dandy, and Retno Kusumastuti Hardjono. "Analysis of Implementation of Fugel Models of Innovation at BKI Academy." Golden Ratio of Mapping Idea and Literature Format 5, no. 2 (2025): 53–71. https://doi.org/10.52970/grmilf.v5i2.1469.

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Successful innovation in today's business world requires an integrated approach, encompassing aspects of corporate design, product design, and the application of new technologies. Effective collaboration and targeted design management are key to achieving successful innovation. Utilizing efficient knowledge management techniques and tools in integrated design efforts is also important. Proactive planning is critical in innovation, where companies must integrate market trends, competition, emerging technologies, and changing customer preferences. Companies should not just wait for innovation to

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Zhao, Lihuan, Silu Liu, and Xiaoming Zhao. "Big data and digital design models for fashion design." Journal of Engineered Fibers and Fabrics 16 (January 2021): 155892502110190. http://dx.doi.org/10.1177/15589250211019023.

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The demand for fashion, and for virtual fitting and personalized fashion among customers, is changing the design and consumption of fashion. To meet such challenges, fashion design models are being developed based on big data and digitization, in which fashion is designed based on data, virtual fitting, design-support systems, and recommendation systems. This paper reviews the fashion design models proposed in recent years and considers future development directions for fashion design. Using big data and digital processing technologies, fashion designers identify the characteristics of popular

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خوجه, Bodour, and Mohamed بعطوش. "Predicting Economic Activities Trends for Saudi and Non- Saudi Establishments in Saudi Arabia by Using Time Series Forecasting and Deep Learning Models." Journal of engineering sciences and information technology 6, no. 3 (2022): 70–95. http://dx.doi.org/10.26389/ajsrp.b171121.

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Data related to economic and stock market information are widely used for representing non- stationary time series. The economy goes through different phases, from recession to growth. This project focused on models predicting total added establishments in each economic activity. It aimed to predict the number of establishments after the impact of covid- 19 and estimate the accuracy of the prediction models. Prediction models used for inexpensive, quick evaluation of the added number of existing establishments leading to business risk mitigation. The research was conducted on data extracted fr

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Tabatadze, L. M. "Teacher’s Competency Model in Vocational Education and Training within Uncertainty of Labor Markets (On the Example of L.B. Krasin Moscow Vocational School of Creative Industries)." Prepodavatel XXI vek, no. 2, 2020 (2020): 43–55. http://dx.doi.org/10.31862/2073-9613-2020-2-43-55.

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In the article the author presents a relevant experience of designing an actual competency model of an educator in vocational education and training (VET) which is based on the researches of the world and Russian labor markets. There is explained a term “innovative segment of a labor market” and given risks of vocational education and training in part of its interaction with this segment. The author made an analysis of trends affecting the vocational education and training development and analyzed data of the VET economics monitoring. The approach to designing a competency model of an educator

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Dokumacı, Melis. "AI in Forecasting Financial Markets." Human Computer Interaction 8, no. 1 (2024): 127. https://doi.org/10.62802/1twmvt88.

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Artificial Intelligence (AI) is transforming the landscape of financial market forecasting, offering innovative approaches to predict trends, optimize investments, and mitigate risks. By leveraging machine learning, natural language processing (NLP), and advanced statistical methods, AI-driven models analyze vast amounts of structured and unstructured data in real time, uncovering patterns and insights beyond human capabilities. This research explores the application of AI in financial market forecasting, emphasizing techniques such as deep learning for time-series analysis, sentiment analysis

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Liu, Bojing, Mengxiang Li, Zihui Ji, Hongming Li, and Ji Luo. "Intelligent Productivity Transformation." Journal of Organizational and End User Computing 36, no. 1 (2024): 1–27. http://dx.doi.org/10.4018/joeuc.336284.

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With the penetration of deep learning technology into forecasting and decision support systems, enterprises have an increasingly urgent need for accurate forecasting of time series data. Especially in fields such as finance, retail, and production, immediate and accurate predictions of market trends are the key to maintaining a competitive advantage. This study aims to address the limitations of traditional time series forecasting methods, such as the difficulty in adapting to the nonlinearity and non-stationarity of the data, through an innovative deep learning framework. The authors propose

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