Hairless black hole by superradiance by Sebastian Garcia-Saenz, Guangzhou Guo, Peng Wang, Xinmiao Wang

“…Restricted to spherical symmetry, our linear analysis about a Reissner-Nordström background confirms the persistence of tachyonic scalar modes upon inclusion of electric charge. …”
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Factor productivity nexus economic growth in Sub-Saharan Africa: Symmetric and asymmetric panel approaches by Urgaia R. Worku

“…This study examines the effect and role of total factor productivity with other major determinants on economic growth in the Sub – Saharan Africa(SSA).It employs the data obtained from the World Bank Development Indicators spanning from 1990 to 2022 using panel ARDL, GMM and their extended asymmetric non-linear (NARDL) and (NGMM) models. The NARDL and NGMM are more superior to the counterpart ARDL and GMM symmetric models in the long-run than the short-run estimation, ensuring more efficient and reliable information regarding the effects of productivity on economic growth analysis. …”
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The Information Technology Effect, Quality Service, and Tax Sanctions on PBB Tax Compliance by Siti Miftachul Jannah, Anang Kistyanto, Andre Dwijanto Witjaksono

“…Efficient e-filing and e-payment systems enhance reporting accuracy, making compliance more transparent. …”
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Modular quantum signal processing in many variables by Zane M. Rossi, Jack L. Ceroni, Isaac L. Chuang

“…Complicating this, however, is that while QSP/QSVT are often described by the polynomial transforms they apply to the singular values of large linear operators, and the algebraic manipulation of polynomials is simple, the QSP/QSVT protocols realizing analogous manipulations of their embedded polynomials are non-obvious. …”
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Enhancing Predictive Models in E-Commerce: A Comparative Study Using XGBoost Across Diverse Scenarios by Zhang Jianhao

“…By identifying patterns in the data, we aim to make the predictions more tangible and assess the validity of our approach through a statistical linear regression model. We employed three different models—Gradient Boosting Decision Tree (GBDT), Light Gradient Boosting MachineLight (GBM), and Extreme Gradient Boosting (XGBoost)—to determine which one is the most efficient. …”
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Preferential Cyber Defense for Power Grids by Mohammadamin Moradi, Yang Weng, John Dirkman, Ying-Cheng Lai

“…Although our framework is computationally intensive at the present, it provides a stepping stone toward developing more efficient machine-learning frameworks to preferentially defend large cyberphysical systems.…”
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Proving Properties of Discrete-Valued Functions Using Deductive Proof: Application to the Square Root by Vassil Todorov, Safouan Taha, Frederic Boulanger, Armando Hernandez

“…It can give a higher level of confidence in proving critical safety properties and even avoid unit testing.In this paper, we chose a production use case: a function calculating a square root by linear interpolation. We use deductive proof to prove its correctness and show the limitations we encountered with the off-the-shelf tools. …”
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A Hybrid Security Mechanism for Intra-WBAN and Inter-WBAN Communications by Sarah Irum, Aftab Ali, Farrukh Aslam Khan, Haider Abbas

“…The biometric-based calculations are of linear time complexity to cater the strict resource constraints and security requirements of WBANs. …”
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Unitary k-Designs from Random Number-Conserving Quantum Circuits by Sumner N. Hearth, Michael O. Flynn, Anushya Chandran, Chris R. Laumann

“…Local random circuits scramble efficiently and, accordingly, have a range of applications in quantum information and quantum dynamics. …”
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Digestible protein levels and metabolic responses in juvenile piapara (Megaleporinus obtusidens) by Viviane do Nascimento Santana de Almeida, Gabriela Castellani Carli, Thaise Mota Sátiro, Thiago Matias Torres do Nascimento, Leonardo Susumu Takahashi

“…Muscle lipid (ML) content decreased linearly with increasing DP level (p<0.05), whereas liver glucose-6-phosphate dehydrogenase (G6PD) activity decreased linearly as DP level increased (p<0.05). …”
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Enhancing the oxygen evolution reaction by tuning the electrode–electrolyte interface in nickel-based electrocatalysts by Ben Wang, Tomohiro Fukushima, Hiro Minamimoto, Andrey Lyalin, Kei Murakoshi, Tetsuya Taketsugu

“…Accounting for the variable solvation effects considerably affects the predicted overpotential in a roughly linear relationship between overpotential and dielectric constant. …”
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Classifying topological floppy modes in the continuum by Ian Tan, Anton Souslov

“…By augmenting standard linear elasticity with additional fields of soft modes, we define a continuum version of Maxwell counting, which balances degrees of freedom and mechanical constraints. …”
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A Comprehensive Analysis of Imbalance Signal Prediction in the Japanese Electricity Market Using Machine Learning Techniques by Kaiyao Jiang, Yuji Yamada

“…Power system imbalances pose significant challenges to maintaining grid stability and ensuring efficient market performance, particularly in the context of the Japanese electricity market. …”
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Comparison of Experimental Methods for Double-Sided Enhanced Tubes in Refrigeration Heat Exchangers by Su Bowen, Ouyang Xinping

“…The internal and external heat transfer coefficients can be separated effectively and efficiently by obtaining the undetermined parameters in the correlation through linear fitting and optimization. …”
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Scaling of hardware-compatible perturbative training algorithms by B. G. Oripov, A. Dienstfrey, A. N. McCaughan, S. M. Buckley

“…Previous research has suggested that perturbative training methods do not scale well to large problems since in these methods, the time to estimate the gradient scales linearly with the number of network parameters. However, in this work, we show that the time to reach a target accuracy—that is, actually solve the problem of interest—does not follow this undesirable linear scaling and in fact often decreases with network size. …”
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Certificateless Batch Authentication Scheme and Intrusion Detection Model Based on the Mobile Edge Computing Technology NDN-IoT Environment by Jianzhao Sun

“…Compared with the linear search algorithm, the algorithm proposed in this paper can significantly reduce the computation time.…”
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Exploration of Energy-Saving Chilling Landscape Design Based on Algo for Group Intelligence by Zhuo Li

“…Therefore, the use of algo for group intelligences to build an energy-efficient society is a necessary path for China’s development, and the construction of energy-efficient gardens is an important part of building an energy-efficient society, and the application of energy-efficient concepts to modern landscape design is an inevitable trend in the development of urban landscaping.…”
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Retrospective Clinical Trial to Evaluate the Effectiveness of a New Tanner–Whitehouse-Based Bone Age Assessment Algorithm Trained with a Deep Neural Network System by Meesun Lee, Young-Hun Choi, Seul-Bi Lee, Jae-Won Choi, Seunghyun Lee, Jae-Yeon Hwang, Jung-Eun Cheon, SungHyuk Hong, Jeonghoon Kim, Yeon-Jin Cho

“…Linear regression analysis was performed and the coefficient of determination (r²), mean absolute error (MAE), and root mean square error (RMSE) were measured. …”
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Methane production and whole-animal energy utilization in lactating Jersey dairy cows fed a bromoform-containing feed additive by S.C. Sherwood, A.L. Carroll, K.K. Buse, P.J. Kononoff

“…The efficiency of converting digestible energy (DE) to ME linearly increased (0.88, 0.89, and 0.89 ± 0.003 Mcal/Mcal). …”
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Water Supply Reliability in Maweizao Irrigation Area Based on GIS by FU Jian-jun, LI Yun-qi, YUAN Li, CHEN Peng, GONG Rou-yan

“…Within the 60%-80% range of reliability rate, each 1 m3 irrigation water increase produced an extra 1.2-1.5 kg of rice, indicating optimal resource use efficiency. [Conclusion] By focusing on intra-seasonal rainfall during rice growth stages, this study reveals the underlying mechanism of irrigation water supply-demand imbalance in hilly irrigation areas and proposes the following three practical strategies. …”
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