Control Method of Microgrid Grid Connected Inverter Based on Quantum GA-PID by Yunqing Qu

“…Accordingly, the proposed method is able to utilizefor the regulation of actual microgrid grid-connected inverters, achieving effective voltage control in dynamic and complex environments. …”
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PRODUCTIVITY AND QUALITY OF WINTER WHEAT VARIETIES IN THE EASTERN PART OF THE ROSTOV REGION by A. V. Alabushev, A. S. Popov, A. A. Lysenko, V. A. Yatsenko

“…Yields and quality of grain are usually formed under influence of a complex set of conditions. Grain productivity depends on such factors as cultivation technology, hydrothermal regime, tolerance to unfavourable weather conditions. …”
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The bass diffusion model: agent-based implementation on arbitrary networks by L. Di Lucchio, G. Modanese

“…The goal of this study is to model Bass diffusion and its extensions on complex networks, including scale-free networks with arbitrary power-law exponent and assortative degree correlations. …”
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Persepsi Guru Matematika terhadap Literasi Numerasi dan Pengaruhnya pada Pembelajaran di SMA by Rahmad Sugianto, Niswatun Hasanah, Mohammad Syaifuddin

“…The study’s results on the perception of mathematics teachers on literacy numeracy in high school showed an average of 67.58% with a positive interpretation level. …”
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The use of NDYAG laser combined with pulsed light in the treatment of rosacea by Valeriu Ardeleanu, Lavinia Alexandra Moroianu, Vlad Denis Constantin, Petrisor Banu, Florin Silviu Groseanu, Ioana Paunica, Ana Maria Dascalu, Alin Laurentiu Tatu

“…Rosacea is a chronic inflammatory skin disease with a complex pathogenesis that mainly affects the central part of the face, with a global incidence of 5.46%. …”
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Reactive routing protocol is one of the most important parameters in MANET, so a study of their performance is done in the next sub sections using NS2 by MOHAMMED ALAWADI

“…We evaluate the effectiveness of these protocols by analyzing two primary metrics: are the average figures of throughput and average end to end delay. …”
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Resistance of raspberry promising varieties (Rubus idaeus L.) to main diseases of stem expression type by В. М. Остапенко, С. І. Градченко, І. М. Маковкін

“…The resistance of the overwhelming majority of varieties was average to above  average. The ‛Patricia’ and ‛Novokytaivs’ka’ (control) displayed low resistance against Dydimella and septoria spot, respectively. …”
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The Potential Role of Surprisal in Predicting Pronunciation Problems in L2 English Phonology by Monika Pukli

“…In an analogy of the (native) phonologization model by Hume and Mailhot (2013), it was expected that one would encounter more mistakes in high surprisal words (i.e. uncommon words whose articulation is complex) than more familiar, average surprisal words, and that low surprisal words (i.e. the most frequent and simple words) would be likewise more often mispronounced than the average. …”
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Nonlinear Volatility Risk Prediction Algorithm of Financial Data Based on Improved Deep Learning by Wangsong Xie

“…With the gradual integration of global economy and finance, the financial market presents many complex financial phenomena. To increase the prediction accuracy of financial data, a new nonlinear volatility risk prediction algorithm is proposed based on the improved deep learning algorithm. …”
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A Multi-View Three-Dimensional Scanning Method for a Dual-Arm Hand–Eye System with Global Calibration of Coded Marker Points by Tenglong Zheng, Xiaoying Feng, Siyuan Wang, Haozhen Huang, Shoupeng Li

“…To achieve robust and accurate collaborative 3D measurement under complex noise conditions, a global calibration method for dual-arm hand–eye systems and multi-view 3D imaging is proposed. …”
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Multi-robot path planning in online dynamic obstacle environments based on parallel cooperative strategy optimization algorithm by Chia-Hung Wang, Kun Hu, Xiaojing Wu

“…Simulation results showed notable improvements over the standard RSA, with enhancements of 90.96%, 52.53%, 55.73%, and 62.71% in average path deviation error, average untraveled goal distance, total fitness value, and average execution time, respectively. …”
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Comparing the Performance of Regression and Machine Learning Models in Predicting the Usable Area of Houses with Multi-Pitched Roofs by Leszek Dawid, Anna Marta Barańska, Paweł Baran

“…The estimated values of the usable area of the building designs for the best model on the test set differed on average from the true ones by 8.7 m², while for the existing buildings, the difference was 9.9 m² on average (in both cases, the average relative error was about 7%).…”
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Contrast-Invariant Edge Detection: A Methodological Advance in Medical Image Analysis by Dang Li, Patrick Cheong-Iao Pang, Chi-Kin Lam

“…The results show that the average precision of CIED is 0.408, the average recall is 0.917, and the average F1-score is 0.550. …”
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The GPR-based estimation of the volumetric ice content of dispersed ground in the Central Yakut lowland by L. G. Neradovsky

“…On this basis, the found regression equations are recommended to be used for the calculation of the speed of propagation and specific attenuation of electromagnetic waves of background or average values of the volume ice content of frozen dispersed soils of the annual heat transfer layer in any part of the ice complex of the Central Yakut  lowland.…”
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Special care dentistry in a charity clinic: Demographic analysis and barriers to care in Singapore by Guang Xu David Lim

“…Their medical profiles were grouped into seven categories, and the average case mix total banded score was 21.6, indicating that the average patient had “severe complexity”. …”
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Efficacy and safety of mechanical transvenous lead extraction: median follow-up analysis and development of an experimental model for predicting survival post-extraction by Shima Nasri, Sahar Samimi, Masoud Eslami, Khashayar Hematpour, Morteza Eslami, Hirad Yarmohammadi, Reza Mollazadeh, Mehrzad Rahmanian

“…The mean age of the subjects was 61 ± 3 years. The average time from lead implantation to TLE was 69.34 ± 9.36 months, with a total of 216 leads extracted. …”
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Examining Disability, Pain, and Anxiety in Patients Following Lumbar Decompression Surgery: A Cross-Sectional Study by Abdus Samad Khan, Muhammad Bilal, Naeem Ul Haq, Aiman Zia, Haziq Dad

“…Common comorbidities included hypertension (35.7%) and diabetes (28.6%), with most being overweight or obese. Average TUG time was 12.3 seconds, pain-related anxiety 45.6, and pain intensity 6.2. …”
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Molecular interaction assays in silico of crotapotin from Crotalus durissus terrificus against the molecular target trypanothione reductase from Leishmania braziliensis by Jamile Mariano Macedo, Mateus Farias Souza, Anderson Maciel Lima, Aleff Ferreira Francisco, Anderson Makoto Kayano, Maria Elisabeth Moreira de Lima Gusmão, Erika Crhistina Santos de Araújo, Guilherme Henrique Marchi Salvador, Marcos Roberto de Mattos Fontes, Juliana Pavan Zuliani, Andreimar Martins Soares

“…Additional clusters maintained average RMSD values between 0.173 nm and 0.193 nm, further reinforcing the robustness of the complex under physiological conditions. …”
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Multi-Output Regression for the Prediction of World-Class Performances in Women’s Handball by Rayane Elimam, Nicolas NICOLAS, Jacques Prioux, Jacky Montmain, Stephane Perrey

“…We compared 4 single-output models (kNN, regression tree, random forest and(NN) Predictive models inspired by the human brain, used in this study for multi-output prediction in sports performance analysis (neural networks)), their multi-output counterparts and aA baseline model predicting future performance as the average of each player’s past performance, serving as a simple reference for comparison with more complex models (dummy baseline) (predicting the average performance of each player over the last month) in terms of average(Root Mean Squared Error) A measure of the quadratic difference between predicted and actual values in regression models (RMSE) (aRMSE) during aAn evaluation method where past training and game data are used sequentially to predict performance of the next game (chronological evaluation) where previous trainings and games data are used to train models to predict the next game performances. …”
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Preserving Nipple Sensitivity after Breast Cancer Surgery: A Systematic Review and Meta-Analysis by Varsha Harish, Zoe K. Haffner, Jenna C. Bekeny, Adaah A. Sayyed, David H. Song, Kenneth L. Fan

“…Of 138 NSM patients without NAC neurotization, SWM testing showed an average loss of protective sensation in the nipple (average SWM score: 4.7) compared to normal or diminished sensation to light touch in nonoperated controls (average SWM score: 2.9, n = 195). …”
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