An In Vitro Comparison Study Regarding Retention Force Expressed by Thermoformed Aligners and 3D-Printed Aligners with Different Thickness and Design by Francesca Cremonini, Marta Cappelletti, Luca Brucculeri, Virginia Olivero, Luca Lombardo

“…Conclusions: The 3D printing production process enables customizable designs tailored to the unique characteristics of each patient. …”
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Creating, enhancing, and capturing environmental product values – Medicinal and spice plant trade in the Himalayan foothills by Dipesh Pyakurel, Carsten Smith-Hall

“…Traders and central wholesalers enhanced value through transport, not processing. Secondary processing in the district was limited, resulting in missed opportunities for added value through processing. …”
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Addressing international research challenges in child and adolescent mental health during global crises: experience and recommendations of the Co-SPACE international consortium by Jennifer McMahon, Sonja March, Martha Oakes, Wendy K. Silverman, Cathy Creswell, Arlen Rowe, Mohsen Rajabi, Simona Skripkauskaite

“…This paper describes the process and challenges associated with the Consortium’s efforts to combine country-level data to produce global insights for research and clinical practice for the past three years. …”
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The Child’s Position in the Educational Situation and the Development of Coherent Speech by A.N. Veraksa, N.E. Veraksa, E.S. Oshchepkova, V.A. Plotnikova

“… <p>The question of the child's position in the educational process is one of the controversial ones, since the answer to it determines the learning paradigm. …”
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Sorption of strontium on the composite sorbent based on cellulose and hydrated antimony pentoxide by V. V. Galysh, M. T. Kartel, W. Janusz, E. Skwarek, A. A. Nikolaichuk

“…Hydrated antimony pentoxide characterized by amorphous structure and modification process does not affect cellulose crystallinity. …”
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Adaptive continuous-discrete variables optimization for active learning with extremely sparse data in optical material design by Serang Jung, Eungkyu Lee

“…In the adaptive scheme, we examine the performance of three machine learning (ML) models—Gaussian process regression, factorization machines (FM), and field-aware FM—for a surrogate function, and ML model-specific optimization algorithms such as discrete particle swarm optimization, artificial bee colony optimization, and simulated annealing. …”
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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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UAV Mission Path Planning Based on Reinforcement Learning in Dynamic Environment by Gui Fu, Yang Gao, Liwen Liu, Mingye Yang, Xinyu Zhu

“…The results show that the optimized UAV system is better in data calculation and transmission, which also shows that the UAV can quickly plan and process flight paths, which is suitable for practical applications.…”
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Cândido de Mello Leitão: as ciências biológicas e a valorização da natureza e da diversidade da vida Cândido de Mello Leitão: the biological sciences and the valorization of nature... by José Luiz de Andrade Franco, José Augusto Drummond

“…Mello Leitão asserted the need for a civilizing process that could reconcile man and the natural world. …”
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Implementation of spatial SV wave oblique incidence and helical pile response under this condition based on Python in finite element analysis by Hang Cen, Hui-yue Wang, Wen Zhou, De-long Huang, Zhong-ling Zong, Sha-sha Yu, Chang-lu Xu, Zi-yuan Huang

“…The traditional method of adding viscoelastic artificial boundaries and equivalent seismic loads has the disadvantages of a cumbersome adding process and a difficulty in finding errors. Therefore, this paper was based on the existing theory and derived the spatial oblique incidence equivalent node load method on this basis, integrating the ground stress equilibrium, dynamic stress equilibrium, and equivalent seismic load and boundary application into one plug-in. …”
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Linking online health information seeking to cancer information overload among Chinese cancer patients’ family members by Yifang Wu, Luxi Zhang, Xinshu Zhao

“…Methods We standardized all variables from 0 to 1 using a Min-max normalization and conducted Model 6 and Model 92 of Process Macro to examine the mediation and moderation effects. …”
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BERT Bi-modal self-supervised learning for crop classification using Sentinel-2 and Planetscope by Ankit Patnala, Martin G. Schultz, Martin G. Schultz, Juergen Gall, Juergen Gall

“…However, these methods rely on labeled training data, which requires skilled human annotators or extensive field campaigns, making the process expensive and time-consuming. Self-supervised learning techniques have demonstrated promising results in leveraging large unlabeled datasets across domains. …”
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Nitrostative stress status during seasonal and pdmH1N1 infection in Iraq by Marwan S. M. Al-Nimer, Majid M Mahmood, Saba Saadoon Khazaal

“…Infected patients with seasonal influenza showed significantly higher numbers of serum nitrogen species than corresponding pdmH1N1 infected patients. The turnover process reflected by the peroxynitrite/nitric oxide ratio was 0.177, 0.313 and 0.214 in healthy subjects, seasonal and pdmH1N1infected patients respectively. …”
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A Transformer-based Approach for aAnomaly Detection in Wire eElectrical Discharge by Waleed Hammed, Ameer H. Al-Rubaye, Bashar S. Bashar, Merzah Kareem Imran, Mustafa Ghanim Rzooki, Ali Mohammed Hashesh

“…Although theoretical models of manufacturing processes are useful for understanding physical events, it can be challenging to apply them in real-world industrial settings. …”
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Mechanical harvesting of cell sheets: an efficient approach for bone and cartilage tissue engineering by Fatemeh Leisi Mehrabani, Yalda Alibeigian, Mohamadreza Baghaban Eslaminejad, Samaneh Hosseini

“…In this technology, cells are cultured to form a monolayer, which is then detached from the culture surface as a complete sheet. This process preserves cell interactions, maintains cellular phenotypes and functions, and retains the integrity of the cell–extracellular matrix (ECM). …”
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Developing decision making framework on built-up site suitability assessment for urban regeneration in the industrial cities of Eastern India by Harekrishna Manna, Suraj Kumar Mallick, Sanjit Sarkar, Sujit Kumar Roy

“…Therefore, evaluating the prospective suitable sites for built-up area development is important to make sustainable urban planning through the urban regeneration process in the industrial-based urban area Asansol Municipal Corporation (AMC). …”
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Gestão por indicadores de desempenho: resultados na incubadora empresarial tecnológica Management through performance indicators: results in a technological business incubator by Mauro Pacheco Ferreira, Aline França de Abreu, Pedro Felipe de Abreu, Dorzeli Salete Trzeciak, Luiz Gonzaga Apolinário, Alexandre d'Avila da Cunha

“…<br>Based in the relevance of strong support mechanisms for business management, that can help in an efficient manner in the business process of new enterprises and as a consequence increases their chances of success, this paper aims to present a proposal of management through performance indicators to technological based enterprises in development and growth. …”
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DEVELOPING AND CONDUCTING AN INTELLECTUAL GAME 5 MINDS: MOTIVATIONAL ASPECTS by R.Sh. Chermokina, G.A. Gryzlova

“…Since motivation is one of the most important factors in the process of mastering a foreign language in non-linguistic faculties, we have adjusted the concept and principles of the well-known game, developed a methodology for creating questions in order to effectively include them in foreign language activities and stimulate the students’ motivation. …”
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Literature data-based de novo candidates for drug repurposing by Xianglong Liang, Xin Jiang, Yifang Ma

“…To refine our selection process, we applied a threshold defined by the upper $$\gamma $$ th quantile value of the Jaccard coefficient, enabling us to prioritize promising de novo drug repurposing candidates. …”
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INFORMATION SUPPORT FOR CROWDFUNDING AND INVESTING PROJECTS by Julia Malieieva, Olga Malyeyeva, Anatolii Demchenko, Lidiia Piddubna

“…The subject of the article is information technology to support the process of investing in real estate projects. Real estate projects need to find sources and forms of investment that would ensure a balance between project costs and financial resources. …”
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