Systematic analysis of some Astereae (Asteraceae) species by Integrating pollen morphology and molecular evidence by Tianmeng Qu, Tianmeng Qu, Gan Xie, Xinyi Zheng, Xinyu Chen, Yanru Zhang, Lili Lu, Zhixi Fu, Zhixi Fu, Zhixi Fu

“…While comprehensive systematic studies have been conducted on Astereae classification, certain controversies remain unresolved. …”
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Pituitary Neuroendocrine Tumors (PitNETs) – a literature review by Jakub Skiba, Zuzanna Skiba, Kinga Tylczyńska, Natalia Tylczyńska, Kinga Kowalik, Maria Michalska, Aleksandra Zielińska, Szymon Szypulski, Sebastian Iwaniuk, Ignacy Maciejewski

“…The purpose of this review was to provide a comprehensive overview of the latest classification, clinical presentation, diagnosis and treatment options for different types of PitNETs. …”
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Characterization of the Complete Chloroplast Genomes and Phylogenetic Analysis of Sapotaceae by Wenyan He, Yumei Liu, Rui Gao, Zhiyu Song, Wentao Zhu, Jinliao Chen, Cuiyi Liang, Shasha Wu, Junwen Zhai

“…Although previous studies have made some progress in the phylogenetic relationships and classification of Sapotaceae, many issues remain unresolved and require further in-depth research. …”
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ACCOUNTING FOR EMBEDDED DERIVATIVES by Yuliya A. Tarasova

“…Such terms as ‘hybrid contract’ and ‘in-built finance tools derivative’ were defined. An acute classification of the most widely-spread types of in-built finance tools derivatives was put forward. …”
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A Framework Design for Decentralized Digital Identity Across Borders by Jian Chen, Zhiming Cai, Jiayin Qi, Binxing Fang

“…The framework incorporates a data classification and grading strategy, and features three core components: a blockchain-based decentralized identity management mechanism, a universal certification pool model for dynamic data attribute classification and grading, and privacy protection and access control strategies. …”
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IOT based wearable sensor system architecture for classifying human activity by V. Mahalakshmi, Pramod Kumar, Manisha Bhende, Ismail Keshta, Swatiben Yashvantbhai Rathod, Janjhyam Venkata Naga Ramesh

“…Wi-Fi sensing methods mitigate privacy and battery issues but rely on costly Intel 5300 network cards or software-defined radio (SDR) platforms, limiting scalability. …”
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“Clinical Stability” and Propensity Score Matching in Cardiac Surgery: is the clinical evaluation of treatment efficacy algorithmdependent in small sample size settings? by Daniele Bottigliengo, Aslıhan Sentürk Acar, Veronica Sciannameo, Giulia Lorenzoni, Jonida Bejko, Tomaso Bottio, Emanuele Cozzi, Marta Vadori, Jean-Paul Soulillou, Thierry Le Torneau, Thomas Senage, Rafael Mañez, Cristina Costa, Vered Padler-Karavani, Sofia Scali, Massimiliano Carrozzini, Emilia Fiorello, Samuel Fusca, Gino Gerosa, Ileana Baldi, Paola Berchialla, Dario Gregori

“…In this study, we investigate the potential issues related to the stability of the matched sets created by different propensity score models and we propose some diagnostic tools to evaluate them. …”
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Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

“…In the classification process using two validation methods, namely cross-fold validation of 5 times compared with 10-fold cross validation, the accuracy of the two validation methods is 64.18% and 63.68%, respectively. …”
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AI-Driven Predictive Modeling for Lung Cancer Detection and Management Using Synthetic Data Augmentation and Random Forest Classifier by Nisreen Innab, Asma Aldrees, Dina Abdulaziz AlHammadi, Abeer Hakeem, Muhammad Umer, Shtwai Alsubai, Silvia Trelova, Imran Ashraf

“…Lung cancer leads the list of critical healthcare issues because it remains the world’s most lethal form of cancer thus demanding innovative diagnostic tools for faster and accurate identification. …”
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Adaptive capacity management in municipalities in the Semiarid region of Brazil: Application of a composite index by Yonara Claudia dos Santos, Zoraide Souza Pessoa

“…The method used is based on data from the Municipal Basic Information Survey (Munic/IBGE) and operates on a scale from 0 to 1, segmented into five strata corresponding to classification levels ranging from classification levels ranging from “very low” to “very high”. …”
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Acoustic Measurements and Simulations on Yachts: An Evaluation of Airborne Sound Insulation by Michele Rocca, Francesca Di Puccio, Paola Forte, Francesco Fidecaro, Francesco Artuso, Simon Kanka, Francesco Leccese

“…The perceived acoustic comfort on board modern yachts has recently been the subject of specific attention by the most important classification societies, which have issued new guidelines and regulations for the evaluation of noise and vibrations. …”
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Blockchain enhanced distributed denial of service detection in IoT using deep learning and evolutionary computation by V. V. S. H. Prasad, Swathi Sowmya Bavirthi, C. S. S. Anupama, E. Laxmi Lydia, K. Sathesh Kumar, Khalid Ammar, Mohamad Khairi Ishak

“…These applications endure on a federal storage framework primarily concerned with multiple issues. Blockchain technology (BC) is one of the supportive methods for developing IoT-based applications. …”
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MultiDistiller: Efficient Multimodal 3D Detection via Knowledge Distillation for Drones and Autonomous Vehicles by Binghui Yang, Tao Tao, Wenfei Wu, Yongjun Zhang, Xiuyuan Meng, Jianfeng Yang

“…Additionally, during the model lightweighting process, issues such as multimodal feature coupling failure and the imbalance between classification and localization performance often arise. …”
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Principal component analysis and fine-tuned vision transformation integrating model explainability for breast cancer prediction by Huong Hoang Luong, Phuc Phan Hong, Dat Vo Minh, Thinh Nguyen Le Quang, Anh Dinh The, Nguyen Thai-Nghe, Hai Thanh Nguyen

“…Abstract Breast cancer, which is the most commonly diagnosed cancers among women, is a notable health issues globally. Breast cancer is a result of abnormal cells in the breast tissue growing out of control. …”
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Wheat disease recognition method based on the SC-ConvNeXt network model by Tianliang Dong, Xiao Ma, Bin Huang, Wenyu Zhong, Qingan Han, Qinghai Wu, You Tang

“…Comparative experiments were also conducted against four classic classification models. The experimental results show that the proposed SC-ConvNeXt model achieves an average classification accuracy of 88.05% on the test set, the highest among all comparative models. …”
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Multimodal Fall Detection Using Spatial–Temporal Attention and Bi-LSTM-Based Feature Fusion by Jungpil Shin, Abu Saleh Musa Miah, Rei Egawa, Najmul Hassan, Koki Hirooka, Yoichi Tomioka

“…The features from both branches are fused and passed through a fully connected layer for classification, providing a comprehensive understanding of human motion. …”
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Information Systems and Technologies for Quality Management of Educational Projects by Chernenko Oleksandr

“…Based on the analysis of scientific literature and practical experience, a classification of information systems and technologies for quality management of educational projects is proposed, and methodological recommendations for their effective application in higher education are developed. …”
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Intelligent integration of AI and IoT for advancing ecological health, medical services, and community prosperity by Abdulrahman Alzahrani, Patty Kostkova, Hamoud Alshammari, Safa Habibullah, Ahmed Alzahrani

“…The system employs AI models powered by IoT sensors for efficient waste collection, classification, and optimization of recycling schedules. …”
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Integration of Remote Sensing and GIS for Urban Sprawl Monitoring in European Cities by Stavros Kalogiannidis, Konstantinos Spinthiropoulos, Dimitrios Kalfas, Fotios Chatzitheodoridis, Fani Tziampazi

“…Future literature should add the application of a machine learning approach and artificial intelligence for better classification of land use and quantify the cities’ sprawl. …”
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Features of discounting lease payments in the context of determining the interest rate by V. S. Levin

“…The developed author’s classification of discount rates in rental relations is of practical importance, as well as the examples of determining discount rates in budget institutions and commercial organizations that are subject to investment, credit and country risks. …”
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