Algorithmic Maps and the Political Geography of Early-modern Japan by Mark Ravina

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A community partitioning algorithm based on network enhancement by Junjie Hu, Zhanquan Wang, Jiequan Chen, Yonghui Dai

“…Then, the algorithm enhances the network by the nonlinear transformation of the eigenvalues of the symmetric doubly stochastic matrix and makes the original fuzzy community structure become clear. …”
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Named Entity Recognition for Nepali: Data Sets and Algorithms by Nobal Niraula, Jeevan Chapagain

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HEREDITARY CONNECTIVE TISSUE DISORDERS: NOMENCLATURE AND DIAGNOSTIC ALGORITHM by A. V. Klemenov

“…Many unclassified forms of the pathology (dysplasia phenotypes) have been disregarded while assessing a person’s prognosis and defining treatment policy. With no clear definition of NCTDs or their approved diagnostic algorithm, it is difficult to study their real prevalence in the population, to compare literature data, and to constructively discuss various scientific and practical aspects of this disease. …”
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Machine learning-derived prognostic signature integrating programmed cell death and mitochondrial function in renal clear cell carcinoma: identification of PIF1 as a novel target by Guangyang Cheng, Zhaokai Zhou, Shiqi Li, Fu Peng, Shuai Yang, Chuanchuan Ren

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Algorithms of Coordinates Scintillations Calculation in the Gamma-Camera Detector by G.A. Polyakov, V.Yu. Plakhotnik

“…The methods and algorithms of scintillation coordinates calculation in gamma-camera position-sensitive detector are considered in the paper. …”
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PERIOPERATIVE ALGORITHM FOR REHABILITATION OF CHILDREN WITH ACUTE ENTERAL INSUFFICIENCY by A. A. Gumerov, A. N. Izosimov, V. V. Plechev, I. A. Mamleev, B. A. Oleinik

“…Intraoperative physiotherapy denervation diadynamic currents of sympathetic nerve fibers, going along the unpaired visceral branches of the abdominal aorta  can be clearly defined border  between viable and  pathologically altered  bowel  segment  during its necrosis,  as well as to avoid undue  over-resection of the colon healthy.…”
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The Algorithm for Substantiating Development of Products of Functional and Specialized Purpose by A. M. Marhunova, S. A. Kandratsenka, S. N. Vislavukhava

“…Practical application of the author’s algorithm, which can be used as an action plan aimed at strategic development of product and includes mechanisms through which advantages of the new product can be brought to customer notice could give an opportunity to attain goals set for the enterprise and identify clearly the outcome of idea realization.…”
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“Orthoglossopelveplasty” and the algorithm for its use in the Pierre Robin sequence by Vera Lúcia Nocchi Cardim, Jullyana Heinen Peixoto, Alessandra dos Santos Silva

“…Results: Twelve cases of oropharyngeal obstruction treated from 2012 to 2017 are presented, their priorities and orthoglossopleoplasty are discussed, and the proposed algorithm is applied. Conclusion: Anatomical reorganization of the musculature in a correct anterior position provides protraction and functionality to the tongue, clears the airway in the oropharynx, and improves the feeding function and mandibular development, with low surgical morbidity rates and few complications.…”
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Algorithmic accountabilities and health systems: A review and sociomaterial approach by Joseph Donia

“…The perceived importance and difficulty of accounting for algorithms in health systems continues to inform scholarship and practice across diverse fields. …”
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Use of hybrid quantum-classical algorithms for enhancing biomarker classification. by Aninda Astuti, Pin-Keng Shih, Shan-Chih Lee, Venugopala Reddy Mekala, Ezra B Wijaya, Ka-Lok Ng

“…Our study addresses the need for improved execution time and accuracy in QSVC and QNN algorithms compared to SVC and NN for binary classification. …”
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Algorithms for Recollection of Search Terms Based on the Wikipedia Category Structure by Stijn Vandamme, Filip De Turck

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Methodical algorithm of harmonized identification of plant varieties morphological characteristics by Н. В. Павлюк, О. А. Стадніченко

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Robust reinforcement learning algorithm based on pigeon-inspired optimization by Mingying ZHANG, Bing HUA, Yuguang ZHANG, Haidong LI, Mohong ZHENG

“…Reinforcement learning(RL) is an artificial intelligence algorithm with the advantages of clear calculation logic and easy expansion of the model.Through interacting with the environment and maximizing value functions on the premise of obtaining little or no prior information, RL can optimize the performance of strategies and effectively reduce the complexity caused by physical models .The RL algorithm based on strategy gradient has been successfully applied in many fields such as intelligent image recognition, robot control and path planning for automatic driving.However, the highly sampling-dependent characteristics of RL determine that the training process needs a large number of samples to converge, and the accuracy of decision making is easily affected by slight interference that does not match with the simulation environment.Especially when RL is applied to the control field, it is difficult to prove the stability of the algorithm because the convergence of the algorithm cannot be guaranteed.Considering that swarm intelligence algorithm can solve complex problems through group cooperation and has the characteristics of self-organization and strong stability, it is an effective way to be used for improving the stability of RL model.The pigeon-inspired optimization algorithm in swarm intelligence was combined to improve RL based on strategy gradient.A RL algorithm based on pigeon-inspired optimization was proposed to solve the strategy gradient in order to maximize long-term future rewards.Adaptive function of pigeon-inspired optimization algorithm and RL were combined to estimate the advantages and disadvantages of strategies, avoid solving into an infinite loop, and improve the stability of the algorithm.A nonlinear two-wheel inverted pendulum robot control system was selected for simulation verification.The simulation results show that the RL algorithm based on pigeon-inspired optimization can improve the robustness of the system, reduce the computational cost, and reduce the algorithm’s dependence on the sample database.…”
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Improved RTAB-Map Algorithm Based on Visible Light Positioning by Po-Hao Hunag, Si-Chuan Liu, Cheng-Hsiung Yang

“…Finally, we apply the solvePnP algorithm to determine the three-dimensional position and orientation, which is integrated with Kalman Filters to combine the data into the RTAB-Map algorithm for mapping purposes. …”
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ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENT by Marian Byrka, Andrii Sushchenko, Volodymyr Luchko, Galina Perun, Victoria Luchko

“…This instrumentality creates new opportunities and possibilities for improvement of the effectiveness of any educational professional activities in the higher education context by creating problem-solving algorithms completely within the ICT area, as well as non-ICT-based algorithms that provide clear technological step-by-step instructions for solving a diversity of educational problems. …”
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Integrated transcriptome analysis and combinatorial machine learning to construct a homeostatic model of acetylation for ccRCC and validate the key gene GCNT4 by Baohua Zhu, Ziyang Mo, Yi Bao, Xinxin Gan, Linhui Wang

“…Abstract Background Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant tumors of the urinary system. …”
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Noise-tolerant Grover's algorithm via success-probability prediction by Jian Leng, Fan Yang, Xiang-Bin Wang

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ISI sparse channel estimation based on ISL0 algorithm by Ting LIU, Jie ZHOU, CHIJiu-he JU

“…Real-time simulation results clearly show that the ISL0 algorithm can estimate the ISI sparse channel much better. …”
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Recognition of pivotal immune genes NR1H4 and IL4R as diagnostic biomarkers in distinguishing ovarian clear cell cancer from high-grade serous cancer by Yumin Ke, Meili Liang, Zhimei Zhou, Yajing Xie, Li Huang, Liying Sheng, Yueli Wang, Xinyan Zhou, Zhuna Wu

“…ObjectiveOvarian clear cell carcinoma (OCCC) is characterized by poor prognosis and limited early diagnostic markers. …”
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