Construction and validation of prognosis and treatment outcome models based on plasma membrane tension characteristics in bladder cancer by Zhipeng Wang, Sheng Li, Fuchun Zheng, Situ Xiong, Lei Zhang, Liangwei Wan, Chen Wang, Xiaoqiang Liu, Jun Deng

“…Higher scores were characterized by lower cancer stem cell (CSC) indices, as well as higher tumor microenvironment (TME) stromal and immune scores, suggesting that high scores were associated with poorer prognosis. …”
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A novel ddPCR™ assay for eDNA detection and quantification of Greater Amberjack Seriola dumerilli and three congeners in US waters: challenges and application to fisheries independ... by P. Joana Dias, Ryan Lehman, Bryan L. Huerta-Beltrán, Ana Wheeler, Crystal L. Hightower, Jessica Heise, Theodore Switzer, Clint Rhode, J. Marcus Drymon, Lynne Stokes, Mark A. Albins, Sean Powers, Nicole Phillips

“…Atlantic Ocean and the Gulf of Mexico, with the S. dumerili Gulf of Mexico stock being overfished for over three decades. The study presented here is part of a fisheries-independent project initiated to determine an absolute abundance of S. dumerili, to expand biological knowledge of the species and to develop novel tools for fisheries management. …”
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A comparison of the parasitoid wasp species richness of tropical forest sites in Peru and Uganda – subfamily Rhyssinae (Hymenoptera: Ichneumonidae) by Hopkins, Tapani, Tuomisto, Hanna, Gómez, Isrrael C., Sääksjärvi, Ilari E.

“…We found that more rhyssine species were caught in Peru than in Uganda, despite the Ugandan samples containing many more individuals both in absolute terms and per unit time. The difference in the number of individuals caught may largely be due to more rainfall in Peru, since rain reduces Malaise trap catches. …”
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EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning by Waqas Ali, Wesam Alsabban, Muhammad Shahbaz, Ali Al-Laith, Bassam Almogadwy

“…Accurate heart failure prediction using cardiac ultrasound is challenging due to operator dependency and inconsistent video quality, resulting in significant interobserver variability. …”
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Circle chaotic map tuna swarm optimization (CCMTSO) based feature selection and deep learning approach for air quality prediction by Aradhyamatada Swamy, Rohitha U.M.

“…Air pollution has threatened human life in many countries worldwide due to human activity, industrialization, and urbanization over the past few decades. In air forecasting, particulate matter (PM2.5) is a significant health concern. …”
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Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks by ZhiGuo Zhu

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Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development by Anchal Dahiya, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Mohd Anul Haq, Mohammed A. Aleisa, Abdullah Alenizi

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Evaluation of machine learning models for predicting performance metrics of aero-engine combustors by Huan Yang, Shu Guo, Haolin Xie, Jian Wen, Jiarui Wang

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Comparative study of parameter extractions of photovoltaic modules using analytical and numerical approaches by Brahim Belmahdi

“…This is evidenced by the lower values of root mean square error (RMSE), mean bias error (MBE), normalized RMSE (NRMSE), mean absolute percentage error (MAPE), and absolute error (AE). …”
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Sørena Kierkegaarda pojęcie lęku by Paweł Eugeniusz Gazda

“…or maybe – some "internal" persecutory power? and what testifies to the man the possibility of making such a choice? …”
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Dissolved Oxygen Prediction Based on SOA-SVM and SOA-BP Models by ZHANG Xuekun

“…To improve the accuracy of dissolved oxygen prediction,this paper researches and proposes a prediction method that combines seagull optimization algorithm (SOA) with support vector machine (SVM) and BP neural network,prepares four prediction schemes based on the monthly dissolved oxygen monitoring data of the Jinghong Power Station in Xishuangbanna,a national important water supply source in Yunnan Province,from January 2009 to September 2020,optimizes the key parameters of SVM and weight threshold of BP neural network by SOA to construct SOA-SVM and SOA-BP models,predicts the dissolved oxygen of Jinghong Power Station based on the models,and compares the prediction results with those of SVM and BP models.The results show that:The absolute values of the average relative errors of the SOA-SVM and SOA-BP models for the 4 schemes of dissolved oxygen prediction are between 4.07%~4.98% and 3.85%~4.83%,and that of the average absolute errors are 0.309~0.374 mg/L and 0.294~0.371 mg/L,respectively.With better prediction accuracy than SVM and BP models,they have good prediction accuracy and generalization ability.SOA can effectively optimize the key parameters of SVM and weight threshold of BP neural network.SOA-SVM and SOA-BP models are feasible for dissolved oxygen prediction,which can provide references for related prediction research.…”
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A Quantitative Analysis of Photovoltaic Modules Using Halved Cells by S. Guo, J. P. Singh, I. M. Peters, A. G. Aberle, T. M. Walsh

“…Theoretically, we find an improvement in fill factor of 1.8% absolute and output power of 90 mW for the halved cell minimodule. …”
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Comparison of Predictability Using Barrett Universal II and SRK/T Formulas according to Keratometry by Kei Iijima, Kazutaka Kamiya, Yoshihiko Iida, Nobuyuki Shoji

“…To compare the predictability of intraocular lens (IOL) power calculation using the Barrett Universal II and the SRK/T formulas, according to the keratometry. …”
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Track-to-Track Association Based on Structural Similarity in the Presence of Sensor Biases by Hongyan Zhu, Suying Han

“…The paper addresses the problem of track-to-track association in the presence of sensor biases. …”
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The Levellers’ Conception of Legitimate Authority by Eunice Ostrensky

“…This article examines the Levellers’ doctrine of legitimate authority, by showing how it emerged as a critique of theories of absolute sovereignty. For the Levellers, any arbitrary power is tyrannical, insofar as it reduces human beings to an unnatural condition. …”
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Massive Spinning Relativistic Particle: Revisited under BRST and Supervariable Approaches by A. Tripathi, B. Chauhan, A. K. Rao, R. P. Malik

“…We exploit the theoretical potential and power of the BRST and supervariable approaches to derive the (anti-)BRST symmetries and coupled (but equivalent) Lagrangians for this system. …”
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Influence of Binasal and Uninasal Inhalations of Essential Oil of Abies koreana Twigs on Electroencephalographic Activity of Human by Min Seo, Kandhasamy Sowndhararajan, Songmun Kim

“…In the EEG study, the absolute alpha (left frontal and right parietal) and absolute fast alpha (right parietal) values significantly increased during the binasal inhalation of AEO. …”
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Exploiting self-organization and fault tolerance in wireless sensor networks: A case study on wildfire detection application by Felipe Taliar Giuntini, Delano Medeiros Beder, Jó Ueyama

“…Due to problems such as power limitation, communication failure, and loss of nodes, the network topology is constantly changing, requiring mechanisms to achieve self-organization and fault tolerance. …”
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Analysis of Perception Variance in Regret Choice Modeling Based on GPS Data Considering Building Environment Effects by Qiong Chen, Hong Zhang, Yuchen Song, Donghao Huang, Dawei Li, Haining Wang

“…The purpose of this paper is to deal with the perception variance problem in regret model by scaling perception variance and relaxing the distribution assumption of the random error term, which are corresponding to the attribute and alternative differences, respectively. …”
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Hermite-Hadamard and Simpson-Like Type Inequalities for Differentiable (𝛼,𝑚)-Convex Mappings by Jaekeun Park

“…The author establish several Hermite-Hadamard and Simpson-like type inequalities for mappings whose first derivative in absolute value aroused to the 𝑞th (𝑞≥1) power are (𝛼,𝑚)-convex. …”
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