Bias-field digitized counterdiabatic quantum optimization by Alejandro Gomez Cadavid, Archismita Dalal, Anton Simen, Enrique Solano, Narendra N. Hegade

“…Through the analysis of an all-to-all connected general Ising spin-glass problem, we exhibit a polynomial scaling enhancement in ground-state success probability compared to traditional DCQO and finite-time adiabatic quantum optimization methods. …”
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Infusion Therapy Optimization in Selective Abdominal Surgery by I. A. Smeshnoi, I. N. Pasechnik, E. I. Skobelev, D. A. Timashkov, М. A. Onegin, Yu. V. Nikiforov, S. I. Kontarev

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Optimal Controls of the Highly Active Antiretroviral Therapy by Ellina V. Grigorieva, Evgenii N. Khailov, Andrei Korobeinikov

“…Having the estimate for the number of switchings found, we can reduce the two-point boundary value problem for Pontryagin Maximum Principle to a considerably simpler problem of the finite-dimensional optimization, which can be solved numerically. Despite this possibility, the obtained theoretical results are illustrated by numerical calculations using BOCOP–2.0.5 software package, and the corresponding conclusions are made.…”
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An algorithm for independent component analysis using a general class of copula-based dependence criteria by Fatemeh Asadi, Hamzeh Torabi, Hossein Nadeb

“…This paper will investigate a general class of dependency criteria based on the copula density function. …”
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Impact and particle vibration absorbers optimal design by Volodymyr Snitynskyy, Ivan Kernytskyy, Bohdan Diveyev, Orest Horbay, Petro Koruniak, Ruslan Humenyuk, Tetiana Kokhana

“…A technique is developed to give the optimal DVA’s for the elimination of excessive vibration in harmonic and impact loaded systems.…”
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Refining centromedian nucleus stimulation for generalized epilepsy with targeting and mechanistic insights from intraoperative electrophysiology by Jonathan C. Ho, Thandar Aung, Arianna Damiani, Lilly Tang, Arka N. Mallela, Donald J. Crammond, Jorge A. González-Martínez

“…While surgical resection is the primary treatment, its application is limited in generalized epilepsy. Centromedian nucleus neurostimulation offers a promising alternative, yet its mechanisms remain unclear, limiting target optimization. …”
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Mathematical Model of Optimal Development Enterprise Economics by E. V. Kasatkina, D. D. Vavilova

“…To obtain scientific results, general scientific and specific research methods were used: analysis, synthesis, comparison, system analysis, parametric analysis, economic, mathematical and statistical research methods. …”
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EVALUATION OF THE PROGNOSTIC SIGNIFICANCE OF SOME BIOLOGICAL FACTORS IN LOCAL AND GENERALIZED CLEAR CELL RENAL CANCER by A. N. Shevchenko, A. A. Breus, I. V. Neskubina, E. A. Dzhenkova, E. V. Filatova, D. A. Shvyrev

“…An assessment of prognostically unfavourable factors that significantly affect the generalization of the tumour process was carried out using binary logistic regression and ROC analysis.Results. …”
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A brief survey of line search methods for optimization problems by Audu Umar Omesa, Sulaiman Mohammed Ibrahim, Rabiu Bashir Yunus, Issam A.R. Moghrabi, Muhammad Y. Waziri, Aceng Sambas

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Initially reactive and concentrated generalized fluid wavy flow with the applications of disorder theory and magnetic field: A computational study by Saleem Javed, Latif Ahmad

“…The wavy flow of generalized fluid namely, Cross fluid is mathematically formulated on a gravitationally affected vertical wavy surface with significant physical effects which is the main theme of this work. …”
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Duality without constraint qualification in nonsmooth optimization by S. Nobakhtian

“…We are concerned with a nonsmooth multiobjective optimization problem with inequality constraints. In order to obtain our main results, we give the definitions of the generalized convex functions based on the generalized directional derivative. …”
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Semi-G-Preinvexity and Optimality in Mathematical Programming by Zai Yun Peng, Yong Zhao, Kai Zhi Yu, Zhi Lin

“…Our results improve and generalize some known results.…”
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Optimization of spline parameters in approximation of multivalued functions by D. A. Karpov, V. I. Struchenkov

“…The aim of this work is to generalize the obtained results to the case of approximation of multivalued functions while considering various features involved in designing the routes of linear structures. …”
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Study on utility optimization for randomized response mechanism by Yihui ZHOU, Laifeng LU, Zhenqiang WU

“…For the study of privacy-utility trade-off in local differential privacy,the utility optimization models of binary generalized random response mechanism for the case of differential privacy and approximate differential privacy were established.By graphic method,optimality proof,software solution and extreme point method,the exact expression of the optimal utility with privacy budget and the distribution of input data was obtained,and the corresponding optimal randomized response mechanism was given.The results show that both the optimal utility and optimal mechanism are related to privacy budget and input data distribution.Moreover,the discussion for multivariate randomized response mechanism shows that the method of extreme points of local differential privacy is feasible to the solution.…”
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Study on utility optimization for randomized response mechanism by Yihui ZHOU, Laifeng LU, Zhenqiang WU

“…For the study of privacy-utility trade-off in local differential privacy,the utility optimization models of binary generalized random response mechanism for the case of differential privacy and approximate differential privacy were established.By graphic method,optimality proof,software solution and extreme point method,the exact expression of the optimal utility with privacy budget and the distribution of input data was obtained,and the corresponding optimal randomized response mechanism was given.The results show that both the optimal utility and optimal mechanism are related to privacy budget and input data distribution.Moreover,the discussion for multivariate randomized response mechanism shows that the method of extreme points of local differential privacy is feasible to the solution.…”
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Clinical and cost-effectiveness of paramedics working in general practice: a mixed-methods realist evaluation by Matthew Booker, Sarah Voss, Nicky Harris, William Hollingworth, Nouf Jeynes, Hazel Taylor, Kirsty Garfield, Helen Baxter, Jonathan Benger, Andy Gibson, Trudy Goodenough, Justin Jagosh, Kim Kirby, Cathy Liddiard, Alyesha Proctor, Sarah Purdy, Behnaz Schofield, Hannah Stott, Grace Scrimgeour, Nicola Walsh

“…Alongside substantial national recruitment challenges, there exists a shortage of general practitioners to meet current need. Resultingly, allied healthcare professionals, including paramedics, are being utilised in general practice. …”
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Fault diagnosis of HVCB via the subtraction average based optimizer algorithm optimized multi channel CNN-SABO-SVM network by Qingjun Song, Jiuxin Wang, Qinghui Song, Kai Li, Wenchao Hao, Haiyan Jiang

“…Additionally, the SVM is used instead of the Softmax classifier to classify the fused features of vibration and sound, compensating for the poor diagnostic performance and generalization ability of the CNN network in small sample data scenarios. …”
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The exactness of the ℓ1 penalty function for a class of mathematical programs with generalized complementarity constraints by Yukuan Hu, Xin Liu

“…In a mathematical program with generalized complementarity constraints (MPGCC), complementarity relation is imposed between each pair of variable blocks. …”
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Strong Convergence of a Unified General Iteration for k-Strictly Pseudononspreading Mapping in Hilbert Spaces by Dao-Jun Wen, Yi-An Chen, Yan Tang

“…Under some suitable conditions, we prove that the iterative sequence generated by the proposed method converges strongly to a fixed point of a k-strictly pseudononspreading mapping with an idea of mean convergence, which also solves a class of variational inequalities as an optimality condition for a minimization problem. The results presented in this paper may be viewed as a refinement and as important generalizations of the previously known results announced by many other authors.…”
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In situ n-doped nanocrystalline electron-injection-layer for general-lighting quantum-dot LEDs by Yizhen Zheng, Xing Lin, Jiongzhao Li, Jianan Chen, Wenhao Wu, Zixuan Song, Yuan Gao, Zhuang Hu, Huifeng Wang, Zikang Ye, Haiyan Qin, Xiaogang Peng

“…A heavily n-doped nanocrystalline electron-injection layer—exhibiting ohmic transport with 1000 times higher electron conductivity and improved hole blockage—is developed via a simple reductive treatment. The resulting sub-bandgap-driven quantum-dot light-emitting diodes exhibit optimal efficiency and extraordinarily-high brightness, surpassing current benchmarks by at least 2.6-fold, and reaching levels suitable for quantum-dot laser diodes with only modest bias. …”
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