A Generalized Deep Reinforcement Learning Model for Distribution Network Reconfiguration with Power Flow-Based Action-Space Sampling by Nastaran Gholizadeh, Petr Musilek

“…Conventional DNR algorithms rely on accurate values of network parameters and lack scalability and optimality. To tackle these issues, a new data-driven algorithm based on reinforcement learning is developed for DNR in this paper. …”
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Design of Carborane Molecular Architectures via Electronic Structure Computations by Josep M. Oliva, Luis Serrano-Andrés, Douglas J. Klein, Paul von Ragué Schleyer, Josef Michl

“…A goal of this work is to find optimal architectures where atom/ion/energy/spin transport within carborane superclusters is feasible in order to modernize and improve future photoenergy processes.…”
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Electron-positron pair creation under Gaussian and super-Gaussian pulse trains by X. X. Zhou, X. N. Cao, C. K. Li, N. S. Lin, Y. J. Li

“…The results indicate that, under optimal multi-pulse parameters, the number of the EPPs obtained is much larger than the sum of the EPPs created under the same number of single pulses. …”
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Distribution of Large-Scale English Test Scores Based on Data Mining by Na Chu, Wanzhi Ma

“…It is of great practical significance to select the model with high accuracy, further optimize the parameters, make good use of the data, and then take targeted measures to guide the teaching reform, help students make more efficient learning plans, and improve and perfect the existing problems in teaching.…”
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Effect of Air Duct Layout on the Airflow in Data Center Using Under-floor Air Distribution (2) Experimental Verification by 胡雨, 耿云, 张忠斌, 张萌, 姚喻晨, 黄虎, 黄毅, 蒋赟昱

“…Based on the simulation described in Part I, the optimal model, including six groups of duct structures, is verified. …”
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Microencapsulation of Analgesics as an Analog Form of Medicine by Aidana Nakipekova, Bates Kudaibergenova, Arkady S. Abdurashitov, Gleb B. Sukhorukov

“…The primary objective is to identify the most suitable polymer type, particle size, and morphology for encapsulating a water-soluble crystalline drug. Optimizing these parameters may enhance structural stability and prolong the release of this active substance. …”
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Development of nucleic acid extraction-free one-step real-time RT-PCR for diagnosis of SARS-CoV-2 infection by Arbind Kumar, Arun Kumar, Yogendra Padwad, Shaifali Sharma, Sanjay Kumar

“…The study was designed to circumvent the routine RNA isolation step and to optimize a lysis buffer and parameters for direct quantitative PCR. …”
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Boundary time crystals as AC sensors: Enhancements and constraints by Dominic Gribben, Anna Sanpera, Rosario Fazio, Jamir Marino, Fernando Iemini

“…Investigating the precise source of this performance, we find that despite of its long coherence time and multipartite correlations (advantageous properties for quantum metrology), the entropic cost of the BTC (which grows indefinitely in the thermodynamic limit) hinders an optimal decoding of the AC field information. …”
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Green Synthesis by Microwave Irradiation of TiO2 Using Cinnamomum verum and the Application in Photocatalysis by Dante E. González-Anota, Silvia P. Paredes-Carrera, Rosa M. Pérez-Gutierrez, Brandon Arciniega-Caballero, Raul Borja-Urby, Jesús C. Sánchez-Ochoa, Elizabeth Rojas-García

“…The extraction process of bioactives from the aqueous extract of cinnamon (Cinnamomum verum) was optimized using the Design Expert 11 program and analysis of variance (ANOVA) by considering the following parameters: cinnamon weight (g), power (W), and time (s) of microwave irradiation. …”
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Characterization of Physicochemical Quality and Volatiles in Donkey Meat Hotpot Under Different Boiling Periods by Lingyun Sun, Mengmeng Mi, Shujuan Sun, Lu Ding, Yan Zhao, Mingxia Zhu, Yun Wang, Muhammad Zahoor Khan, Changfa Wang, Mengmeng Li

“…The results demonstrated that donkey meat boiled for 12–18 s exhibited optimal characteristics in terms of meat retention, color parameters, shear force values, and pH measurements. …”
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Ages of Large Magellanic Cloud Star Clusters with Gemini Multi-Object Spectrograph Integrated Spectroscopy: Systematic Comparison of Available Tools by Martina I. Tapia-Reina, Randa Asa’d, Andrea V. Ahumada, Carlos Gonzalo Díaz

“…Both tools utilize the full integrated spectrum fitting technique but they use different approaches in calculating the parameters. We find that there is a good agreement between the parameters derived by the two tools and confirm that both tools provide consistent results with the literature parameters obtained from resolved photometry. …”
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ORIGIN OF POSITION DEPENDENT MASS IN A ROTATING PARABOLIC OR SEMI-PARABOLIC PATH: CLASSICAL AND SEMI-CLASSICAL by Rabab Jarrar, Tapas Roy, B. Rath, Prachi Prava Mohapatra, Dilip K Maiti, Jihad Asad

“…We use the most powerful semi-analytical techniques, namely the optimal and modified homotopy perturbation approach, to examine the dynamics of the particle motion with stability analysis. …”
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Manage local deformation by patterning structural heterogeneity: Controlling toughness in honeycomb patterned metallic glass composites by Yongwei Wang, Guang-ping Zheng, Mo Li

“…The optimal toughness can be achieved through redistributing the heterogeneous structural components such that the local shear is distributed heterogeneously during deformation. …”
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Study of Split-Flow Wall Located at Exit by Guomin Zhao, Min Li, Yunfeng Zhao, Qingsong Zhng, Zhongxian Liu

“…Based on the occupant evacuation software of buildingEXODUS, the set parameters of the split-flow wall are studied, and we find that the best range of shunt wall length is 1.5–2 times the export width and the best position of the split-flow wall is 0.5 to 0.75 times the export width far from the exit. …”
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Energy storage technology and its impact in electric vehicle: Current progress and future outlook by Mohammad Waseem, G. Sree Lakshmi, Mumtaz Ahmad, Mohd Suhaib

“…The objective of current research is to analyse and find out the optimal storage technology among different electro-chemical, chemical, electrical, mechanical, and hybrid storage system. …”
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Investigation of the Two-Mode Regime of Two-Gap Photonic-Crystal Resonance Systems Produced on a Printed Circuit Board with Fractal Elements "Minkowski Island by V. A. Tsarev, A. Yu. Miroshnichenko, A. V. Gnusarev, N. A. Akafyeva

“…Such resonators exhibit new properties that are useful for klystrons (an increase in characteristic impedance, suppression of the spectrum of unwanted frequencies, a reduction in mass and dimensions).Aim. Determination of an optimal set of electrodynamic and electronic parameters of double-gap photonic-crystal resonance systems with fractal elements "Minkowski Island" when operated as part of the LMBK resonator system, excited on π- and 2π-modes of oscillation.Materials and methods. …”
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GROWTH HORMONE AND INSULIN-LIKE GROWTH FACTOR IN ADULTS WITH ARTERIAL HYPERTENSION by T. A. Mangileva

“…Comparison of the two parameters mentioned in patients with arterial hypertension with and without obesity also did not reveal intergroup differences.We did not find gender dimorphism influence on the growth hormone and insulin-like growth factor secretion as well, as on the changes of lipid and carbohydrate metabolism. …”
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Estimation of Extreme Floods Using a Statistical and Conceptual Model of the Hydrological Response by Pietro Devò, Stefano Basso, Marco Marani

“…This estimation method interestingly outperforms a methodology in which all parameters are tuned to optimize the reproduction of the statistics of observed peak streamflow values. …”
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Investigation & analysis of Electrical Discharge Machining on Titanium Diboride Ceramic material with various Electrode materials and dielectric fluids by Karthik S, Sivakumar Annamalai

“…This work aims to compare two different dielectric fluids and four different electrode materials to improve EDM process parameters in TiB _2 material. The input parameters were adjusted to find the optimal combination. …”
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Fusion of Deep and Time–Frequency Local Features for Melanoma Skin Cancer Detection by Hamidreza Eghtesaddoust, Morteza Valizadeh, Mehdi Chehel Amirani

“…After the fusion of the mentioned features, semisupervised discriminant analysis (SDA) reduces the highly correlated and redundant features. The Bayesian optimizer finds the optimum parameters of the SDA and Gaussian kernel of the support vector machine (SVM) classifier to maximize the classification accuracy. …”
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