Research on efficient and scalable private set intersection cardinality schemes by LI Gongli, LIU Weichen, ZHENG Dong

“…To address the issue of high computational overhead in existing two-party private set intersection cardinality (PSI-CA) protocols, an efficient two-party PSI-CA protocol was proposed. …”
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Improving access and efficiency of acute ischemic stroke treatment across four Canadian provinces: a stepped-wedge trial by Noreen Kamal, Noreen Kamal, Noreen Kamal, Elena A. Cora, Elena A. Cora, Simone Alim, Judah Goldstein, Judah Goldstein, David Volders, David Volders, Shadi Aljendi, Heather Williams, Patrick T. Fok, Patrick T. Fok, Patrick T. Fok, Etienne van der Linde, Trish Helm-Neima, Renee Cashin, Brian Metcalfe, Brian Metcalfe, Julie Savoie, Wendy Simpkin, Cassie Chisholm, Michael D Hill, Bijoy K. Menon, Stephen Phillips, Stephen Phillips

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Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study by Masato Takase, Naoki Nakaya, Mana Kogure, Rieko Hatanaka, Kumi Nakaya, Ippei Chiba, Sayuri Tokioka, Kotaro Nochioka, Tomohiro Nakamura, Naho Tsuchiya, Takumi Hirata, Seizo Koshiba, Kazuki Kumada, Ikuko Motoike, Eiji Hishinuma, Akira Narita, Taku Obara, Mami Ishikuro, Hisashi Ohseto, Ippei Takahashi, Tomoko Kobayashi, Eiichi N. Kodama, Yohei Hamanaka, Masatsugu Orui, Soichi Ogishima, Satoshi Nagaie, Nobuo Fuse, Junichi Sugawara, Shinichi Kuriyama, Koichi Matsuda, Yoko Izumi, Kinuko Ohneda, Kengo Kinoshita, Atsushi Hozawa, Masayuki Yamamoto, Biobank Japan Project, the ToMMo investigators

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Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

“…Compared to RNNs and their variants, the LTCA–TCN algorithm yields superior prediction results while maintaining a simpler structure and requiring fewer computational resources. In addition, compared to the baseline TCN algorithm, the proposed LTCA–TCN algorithm reduces RMSE by 1.43 m and lowers Score by 0.08. …”
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A Note on Factorization and the Number of Irreducible Factors of <i>xⁿ</i> − <i>λ</i> over Finite Fields by Jinle Liu, Hongfeng Wu

“…Furthermore, the number of irreducible factors of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>x</mi><mi>n</mi></msup><mo>−</mo><mn>1</mn></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>x</mi><mi>n</mi></msup><mo>−</mo><mi>λ</mi></mrow></semantics></math></inline-formula> is useful in many computational problems involving cyclic codes and constacyclic codes. …”
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P254: Genetics of Perrault syndrome in a family with ten affected individuals by Rabia Faridi, Thomas Smith, Leigh M. Demain, Yasuko Ishibashi, Sayaka Inagaki, Huw Thomas, Alessandro Rea, Arshia Maqbool, Isabelle Schrauwen, Khurram Liaqat, Zubair Ahmed, Sondhya Ghedia, Andrew Green, Ruth Sheffer, Hagar Mor-Shaked, Mathilda Wilding, Robin Hay, Saima Riazuddin, Langping He, Glenda Beaman, Wasim Ahmed, Suzanne Leal, Robert Taylor, Raymond O’Keefe, Robert Morell, Alejandro Schaffer, William Newman, Inna Belyantseva, Sheikh Riazuddin, Thomas Friedman

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Tracing High-z Galaxies in X-Rays with JWST and Chandra by Aidan J. Kaminsky, Nico Cappelluti, Günther Hasinger, Alessandro Peca, Caitlin M. Casey, Giulia Cerini, Nicole E. Drakos, Andreas Faisst, Ghassem Gozaliasl, Olivier Ilbert, Jeyhan S. Kartaltepe, Alexander Kashlinsky, Anton M. Koekemoer, Henry Joy McCracken, Jason Rhodes, Brant E. Robertson, Marko Shuntov, Joseph Sterling

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Economic Analysis of Strip and Pit Cultivation Methods in Desertification Projects by Reza Barzegar Ardakani, Saeideh Kalantari, Mohamadreza Fazelpour, Mahdi Tazeh

“…Then, the real cost is calculated by the real analysis method, which is done by being in the field and calculating the costs based on the time of using the tools and the number of workers in the form of real wages. The real cost is computed by calculating the unit of surface and each cultivated seedling. …”
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Optimal 2D Placement of Virtual Objects in Physical Space for Augmented Reality Applications by M. V. Alpatova, Yu. V. Rudyak

“…The hypothesis of quadratic dependence that arose during the work was tested on a personal computer. For this purpose, a similar experiment was conducted for a range of [10-10,000] objects. …”
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Coupling Remote Sensing With a Process Model for the Simulation of Rangeland Carbon Dynamics by Yushu Xia, Jonathan Sanderman, Jennifer D. Watts, Megan B. Machmuller, Andrew L. Mullen, Charlotte Rivard, Arthur Endsley, Haydee Hernandez, John Kimball, Stephanie A. Ewing, Marcy Litvak, Tomer Duman, Praveena Krishnan, Tilden Meyers, Nathaniel A. Brunsell, Binayak Mohanty, Heping Liu, Zhongming Gao, Jiquan Chen, Michael Abraha, Russell L. Scott, Gerald N. Flerchinger, Patrick E. Clark, Paul C. Stoy, Anam M. Khan, E. N. Jack Brookshire, Quan Zhang, David R. Cook, Thomas Thienelt, Bhaskar Mitra, Marguerite Mauritz‐Tozer, Craig E. Tweedie, Margaret S. Torn, Dave Billesbach

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Adjustment terms and coefficients of nonlinear regression-based kurtosis-adjusted equivalent sound level method by Jinzhe LI, Anke ZENG, Jiarui XIN, Yang LI, Linjie WU, Haiying LIU, Yan YE, Meibian ZHANG

“…\begin{document}$ {{L'}}_{\text{EX,}\text{8}\text{ h}} $\end{document} was computed using multiple linear regression and nonlinear least squares optimization. …”
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Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies by Mohammad Khalili, Hamzehali Nourmohammadi, Nader Naghshineh

“…Various methods have been introduced for crime detection, including a wide range of innovative computer techniques. Data mining is regarded as one of the most effective tools for data and information analysis in the field of crime detection. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…The model’s parameter count and computational complexity require reduction. Future research will focus on further improving the detection of very small targets and optimizing the model for lightweight applications.…”
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THE VIRTUAL ARTIST. VOCALOID AND AN EXPERIMENT ON ITS PERCEPTION / ВИРТУАЛЬНЫЙ АРТИСТ. VOCALOID И ЭКСПЕРИМЕНТ ПО ЕГО ВОСПРИЯТИЮ by ARENDT MELISSA-LILI / АРЕНДТ МЕЛИССА-ЛИЛИ, NOWACK NATALIA / НОВАК НАТАЛИЯ

“…How does a Non-Japanese listener react to a musical performance done by a computer program? One of the first answers to this question can be found in a study, which was conducted at the Martin-Luther-University in Halle (Saale), Germany. …”
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Discovery of Diffuse Radio Emission in a Massive z = 1.709 Cool Core Cluster: A Candidate Radio Minihalo by Julie HLavacek-Larrondo, Roland Timmerman, Christoph Pfrommer, Erik Osinga, Larissa Tevlin, Tracy M. A. Webb, Natalia Martorella, Xiaoyuan Zhang, Reinout van Weeren, Hyunseop Choi, Gabriella Di Gennaro, Marie-Lou Gendron-Marsolais, Carter Rhea

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<i>PI-D^Æ</i>: An Adaptive PID Controller Utilizing a New Adaptive Exponent (Æ) Algorithm to Solve Derivative Term Issues by Juan M. Barrera-Fernández, Juan Pablo Manzo Hernández, Kevin Miramontes Escobedo, Alberto Vázquez-Cervantes, Julio-César Solano-Vargas

“…Unlike more-complex alternatives such as fuzzy logic, neural networks, or sliding mode control, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>P</mi><mi>I</mi></mrow></semantics></math></inline-formula>-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi>D</mi></mrow><mrow><mi>Æ</mi></mrow></msup></mrow></semantics></math></inline-formula> retains the simplicity and robustness of PID, avoiding high computational costs or intricate setups. This adaptive exponent strategy offers a practical and scalable enhancement to classical PID, improving performance and robustness without added complexity, and thus provides a promising control solution for real-world applications in which simplicity, adaptability, and reliability are essential.…”
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STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability by Jinghong Chen, Lingxuan Zhu, Weiming Mou, Anqi Lin, Dongqiang Zeng, Chang Qi, Zaoqu Liu, Aimin Jiang, Bufu Tang, Wenjie Shi, Ulf D. Kahlert, Jianguo Zhou, Shipeng Guo, Xiaofan Lu, Xu Sun, Trunghieu Ngo, Zhongji Pu, Baolei Jia, Che Ok Jeon, Yongbin He, Haiyang Wu, Shuqin Gu, Wisit Cheungpasitporn, Haojie Huang, Weipu Mao, Shixiang Wang, Xin Chen, Loïc Cabannes, Gerald Sng Gui Ren, Iain S. Whitaker, Stephen Ali, Quan Cheng, Kai Miao, Shuofeng Yuan, Peng Luo

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A Simulated Galaxy Laboratory: Exploring the Observational Effects on UV Spectral Absorption Line Measurements by R. Michael Jennings, Alaina Henry, Valentin Mauerhofer, Timothy Heckman, Claudia Scarlata, Cody Carr, Xinfeng Xu, Mason Huberty, Simon Gazagnes, Anne E. Jaskot, Jeremy Blaizot, Anne Verhamme, Sophia R. Flury, Alberto Saldana-Lopez, Matthew J. Hayes, Maxime Trebitsch

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A First Look at Spatially Resolved Infrared Supernova Remnants in M33 with JWST by Sumit K. Sarbadhicary, Erik Rosolowsky, Adam K. Leroy, Thomas G. Williams, Eric W. Koch, Joshua Peltonen, Adam Smercina, Julianne J. Dalcanton, Simon C. O. Glover, Margaret Lazzarini, Ryan Chown, Jennifer Donovan Meyer, Karin Sandstrom, Benjamin F. Williams, Elizabeth Tarantino

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Standardized clinical assessments and advanced AI-driven instruments used to evaluate neurofunctional deficits, including within biomarker based framework, in Parkinson’s disease -... by Aurelian Anghelescu, Aurelian Anghelescu, Constantin Munteanu, Constantin Munteanu, Aura Spinu, Vlad Ciobanu, Cristina Popescu, Ioana Elena Cioca, Ioana Andone, Simona-Isabelle Stoica, Simona-Isabelle Stoica, Mihaela Mandu, Ana Rebedea, Sebastian Giuvara, Alin-Daniel Malaelea, Andreea-Iulia Vladulescu-Trandafir, Maria-Veronica Morcov, Maria-Veronica Morcov, Gelu Onose

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