New approach to strongly coupled N $$ \mathcal{N} $$ = 4 SYM via integrability by Simon Ekhammar, Nikolay Gromov, Paul Ryan

“…We demonstrate how to use this approach to construct a new numerical algorithm that remains stable even at a ’t Hooft coupling as large as 106 (or g ~ 100). …”
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Change of Parameters of the Koiwa–Hasiguti Dynamic Dislocation Relaxation in Nanostructured and Polycrystalline Zirconium after Severe Plastic Deformation and Annealing by P. P. Pal-Val, L. N. Pal-Val, A. P. Rybalko, E. N. Vatazhuk

“…It is shown that the parameter β of the lognormal distribution determines the width, height, and asymmetry of the peak and also allows estimating the relaxation strength from the peak height. An algorithm for retrieving the parameter β from experimental data is presented.…”
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Relationship Between the 2019 Ridgecrest, California, <i>M</i>_W7.1 Earthquake and Its <i>M</i>_W6.4 Foreshock Sequence by Jianchang Zheng, Zhengshuai Zhang, Xiaohan Li

“…Based on the relocated catalogue, we adopt the nearest neighbour algorithm to analyze its foreshock and aftershock sequences. …”
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Alterations of the Gut Microbiome in Chinese Zhuang Ethnic Patients with Sepsis by Jieyang Yu, Hongping Li, Jingjie Zhao, Yanhua Huang, Chunlei Liu, Pengfei Yang, Dinggui Lu, Jian Song, Lingzhang Meng

“…Moreover, patients with sepsis could be effectively classified based on the abundance of these bacteria using a support vector machine algorithm. Conclusion. This study demonstrated significant differences in the gut microbiome between Zhuang ethnic patients with sepsis and healthy individuals. …”
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Outbreak prediction of covid-19 in most susceptible countries by D. Yadav, H. Maheshwari, U. Chandra

“…It spread on humans as well as animals and infected more than 183 countries with 2959927 confirm cases and 202733 deaths till 28 April 2020. 84 days data is used to predict confirmed and death cases for the next 10 days by using prophet and daily average based algorithm. Predicted confirmed cases are 2886183 and death cases 190540 till 25 April 2020. …”
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Analysis and Dynamic Prediction of Bus Dwell Time Under Rainfall Conditions by Baoyun SUN, Yaping YANG, Lei DONG, Honglin LU, Zimin WANG

“…Support vector machine, k-nearest neighbour and backpropagation (BP) prediction models were established, and the BP neural network model, having the best prediction effect, was optimised using a genetic algorithm (GA). The constructed GA-BP prediction model was more realistic than the BP prediction model and can be used to predict bus dwell times under rainfall conditions. …”
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Parameter Optimization on the Three-Parameter Whitenization Grey Model and Its Application in Simulation and Prediction of Gross Enrollment Rate of Higher Education in China by Jihong Sun, Hui Li, Bo Zeng, Xiaoyun Zhao, Chuanhui Wang

“…This study combines the Three-parameter Whitenization Grey Model (TWGM(1,1)), which fits the inhomogeneous exponential law sequence, and the Particle Swarm Algorithm (PSA) to optimize the order and background value coefficients under the condition of the minimum sum of squares of simulation errors, and hence, to solve the problem that the cumulative order is fixed to “1” and the background value coefficient value is fixed to “0.5.” …”
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Design of Approximate Adder With Reconfigurable Accuracy by Aalelai Vendhan, Syed Ershad Ahmed, S. Gurunarayanan

“…Next, for applications that require tunable accuracy, we incorporate a reconfiguration technique in the segmented approximate adders, using a divide-and-conquer methodology that dynamically optimizes the approximate adder&#x2019;s accuracy, leading to efficient computation. Also, an algorithm was proposed to compute accuracy and hardware complexity in an N-trit accuracy reconfigurable adder. …”
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Cross-Modality 2D-3D Face Recognition via Multiview Smooth Discriminant Analysis Based on ELM by Yi Jin, Jiuwen Cao, Qiuqi Ruan, Xueqiao Wang

“…To speed up the learning phase of the classifier, the recent popular algorithm named Extreme Learning Machine (ELM) is adopted to train the single hidden layer feedforward neural networks (SLFNs). …”
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Data Driven Second Integral Sliding Mode Control for the Digital Phase-Locked Loop by Haiqin Liu, Mingdong Hou, Guangye Li, Renming Yang, Yun Zhang

“…The theoretical results are mathematically rigorously proved, and the results of the simulation study show that the proposed method exhibits faster and superior performance in signal estimation and tracking compared to traditional PID algorithms.…”
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Dynamic Response of a Casting Crane Rigid-Flexible Coupling System to High Temperature by Yunsheng Xin, Qing Dong, Qisong Qi, Qinglu Shi

“…The constitutive equation for the elastic modulus of Q355 alloy steel at different temperatures was predicted using test data and a neural network algorithm. Based on crane structural characteristics and the principle of system dynamics, a coupling vibration model was established that included the crane flexible girder, cabin, trolley, crane, and temperature. …”
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A Quantitative Risk Evaluation Model for Network Security Based on Body Temperature by Y. P. Jiang, C. C. Cao, X. Mei, H. Guo

“…This paper proposed a quantitative risk evaluation model for network security based on body temperature (QREM-BT), which refers to the mechanism of biological immune system and the imbalance of immune system which can result in body temperature changes, firstly, through the r-contiguous bits nonconstant matching rate algorithm to improve the detection quality of detector and reduce missing rate or false detection rate. …”
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Performance evaluation of an optimized simplified nonlinear active disturbance rejection controller for rotor current control of DFIG-based wind energy system by Ahmed Sobhy, Medhat Hegazy Elfar, Ahmed Refaat, Mahmoud Fawzi

“…To address these challenges, an optimized simplified nonlinear active disturbance rejection (SNADR) control strategy, enhanced through the Particle Swarm Optimization (PSO) algorithm for parameter tuning, is proposed. This research fills a critical gap in the selection of parameters for SNADR controllers, which are usually tuned by trial and error. …”
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ZEQoS: A New Energy and QoS-Aware Routing Protocol for Communication of Sensor Devices in Healthcare System by Zahoor Ali Khan, Shyamala Sivakumar, William Phillips, Bill Robertson

“…The proposed routing protocol, called ZEQoS, introduces two main modules (MAC layer and network layer) and three algorithms (neighbor table constructor, routing table constructor, and path selector). …”
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Cultural Moduses of Students and Their Influence on the Formation of Life Plans by M. A. Golovchin

“…In total, the study examines four modes (K, CI, IC, I), which describe various manifestations in the public consciousness of power distance, gender model of decision making, priority of interests, attitude to uncertainty, as well as the short-term mobilization of vital resources. We proposed an algorithm for studying cultural moduses within the framework of sociological research, for testing of which we used a subset of data from the project of the Russian Society of Sociologists “Cultural Heritage and the Connection of Generations” (2022).The study found that modern students have different cultural moduses. …”
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A Motor Learning Oriented, Compliant and Mobile Gait Orthosis by A. Calanca, S. Piazza, P. Fiorini

“…To achieve this behavior ARGO deploys a torque planning algorithm and a force control system. Data collected from a single case of study shows benefits of the orthosis. …”
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Modern Digital Query Analytics of Patient Education Materials on Acanthosis Nigricans: Systematic Search and Content Analysis by Kevin Johny Varghese, Som Singh, Emily Kamali, Fahad Qureshi, Aleena Jamal, Fawad Qureshi

“…MethodsThis study analyzed publicly available internet sources to identify the most frequent questions searched by patients regarding AN using the Google Rankbrain algorithm. Furthermore, available articles on AN were evaluated for quality and reading level using metrics such as the Brief DISCERN score, and readability was determined using three specific scales including the Flesch-Kincaid score, Gunning Fog index, and the Coleman-Liau index, based on literature. …”
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Advanced AI-driven detection of interproximal caries in bitewing radiographs using YOLOv8 by Mahsa Bayati, Berhrouz Alizadeh Savareh, Hojjat Ahmadinejad, Farzaneh Mosavat

“…Thus, the present study aimed to develop a deep learning-based AI model using the YOLOv8 algorithm for improving interproximal caries detection in bitewing radiographs. …”
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University International Cooperation: Project Based Translation Training by E. Yu. Novikova, V. A. Mityagina, St. Walter

“…The article reveals an algorithm of tourism texts didacticization, shows the genre specifics of tourism texts and studies the problematic areas caused by the cultural transfer of tourism-relevant information. …”
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An Improved Blade Vibration Parameter Identification Method considering Tip Clearance Variation by Liang Zhang, Qidi Wang, Xin Li

“…A multisensor vibration parameter identification algorithm based on arbitrary angular distribution was introduced. …”
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