Split‐Aperture Xolography – Linear Volumetric Photoactivation with Short Axial Dimension and Low out of Focus Excitation by Martin Regehly, Stefan Hecht

“…Two‐photon absorption (2PA) enables such applications yet leads to slow processing speed due to the underlying non‐linear absorption process. Here, Split‐Aperture Xolography (SAX), is introduced which uses stepwise excitation of dual‐color responsive molecules to initiate a linear volumetric photo‐reaction process that is up to several orders of magnitude more efficient than 2PA. …”
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Performance Analysis of SWIPT-Assisted Cooperative NOMA Network With Non-Linear EH, Interference, and Imperfect SIC by Nausheen Ashraf, Shahzad Amin Sheikh, Mahrukh Liaqat, Sajjad Ahmad Khan

“…In order to obtain a realistic analysis, we aim to utilize a non-linear energy harvesting model and imperfect successive interference cancellation (imp-SIC) at the end user. …”
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Waveguide-Based All-Metal Near-Field Metasurfaces for Linearly and Circularly Polarized Beam Steering Antennas by Maira I. Nabeel, Muhammad U. Afzal, Khushboo Singh, Dushmantha N. Thalakotuna, Karu P. Esselle

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A Linear Rehabilitative Motion Planning Method with a Multi-Posture Lower-Limb Rehabilitation Robot by Xincheng Wang, Musong Lin, Lingfeng Sang, Hongbo Wang, Yongfei Feng, Jianye Niu, Hongfei Yu, Bo Cheng

“…In rehabilitation, physicians plan lower-limb exercises via linear guidance. Ensuring efficacy and safety, they design patient-specific paths, carefully plotting smooth trajectories to minimize jerks. …”
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Applying the Efficiency Analysis Tree Method for Enhanced Eco-Efficiency in Municipal Solid Waste Management: A Case Study of Chilean Municipalities by Ramon Sala-Garrido, Manuel Mocholi-Arce, Maria Molinos-Senante, Alexandros Maziotis

“…Although the Data Envelopment Analysis (DEA) method is widely used, it is susceptible to overfitting, potentially distorting eco-efficiency assessments. This study applies the efficiency analysis tree (EAT) method, which synergizes machine learning and linear programming, offering a more reliable framework for eco-efficiency evaluation in the MSW sector. …”
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Optimization of multi-user scheduling in WPCNs by Lina Yuan, Huajun Chen, Tingsui Liu, Ging Gong

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Tight computationally efficient approximation of matrix norms with applications by Juditsky, Anatoli, Kotsalis, Georgios, Nemirovski, Arkadi

“…Finally, we consider some applications of norm bounding, in particular, (1) computationally efficient synthesis of affine non-anticipative finite-horizon control of discrete time linear dynamical systems under bounds on the peak-to-peak gains, (2) signal recovery with uncertainties in sensing matrix, and (3) identification of parameters of time invariant discrete time linear dynamical systems via noisy observations of states and inputs on a given time horizon, in the case of “uncertain-but-bounded” noise varying in a box.…”
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Unit-Centric Regularization for Efficient Deep Neural Networks by Carles R. Riera Molina, Eloi Puertas, Oriol Pujol

“…The method is evaluated using four global metrics: Dead Units, Linear Units, Trainability, and Convergence. Jumpstart significantly reduces the presence of inactive and linear units (0.07 and 0.12, respectively), outperforming most baselines and achieves superior trainability (1.0) and convergence (-0.03). …”
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Efficient algorithm for computing Walsh spectrum and differential probability by IUYan L, UBin H, ULi-ping X

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Experimental determination of efficient thermal conductivity of depth hoar by R. A. Chernov

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Milk characteristics and milking efficiency in Italian Mediterranean buffalo by Roberta Matera, Lorenzo Pascarella, Alessio Cotticelli, Giuseppe Conte, Alessia Tondo, Giuseppe Campanile, Gianluca Neglia

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New Modeling of Current and Power Efficiency for Scroll Compressor by Hu Jian, Wen Hang, Gu Bo

“…A new formula for compressor current was proposed by revision of the conventional formula and a formula for the calculation of the compressor power efficiency was also proposed. A multiple non - linear mathematical method was used to achieve fitted coefficient. …”
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Efficiency of noise reduction by a road speed bump by Rufin MAKAREWICZ, Piotr KOKOWSKI

“…The bump is modeled by the Dirac delta function. The linear density of sound energy (in Joules per meter) is used for the calculation of sound energies, ec and e, emitted by a vehicle on a road without- and with a bump, respectively. …”
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Efficient model-and-data based channel estimation algorithm by Kai MEI, Haitao ZHAO, Xiaoran LIU, Jun LIU, Jun XIONG, Baoquan REN, Jibo WEI

“…For orthogonal frequency division multiplexing (OFDM) systems, a hybrid model and data driven channel estimation algorithm was proposed.Combined with two existing channel estimation methods, including a low complex learning-based channel estimation method and the linear minimum mean square error (LMMSE) channel estimation, the estimator with the ability was facilitated to employ online training to improve estimation performance.Meanwhile, the pilot overhead consumed by generating online training data was saved due to the use of the model-based method in the proposed algorithm, which improved the spectrum efficiency.The simulation results demonstrate that the proposed algorithm has better performance under low signal-to-noise ratio (SNR) and better adaptation to practical imperfections compared with conventional channel estimation methods.…”
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Efficient model-and-data based channel estimation algorithm by Kai MEI, Haitao ZHAO, Xiaoran LIU, Jun LIU, Jun XIONG, Baoquan REN, Jibo WEI

“…For orthogonal frequency division multiplexing (OFDM) systems, a hybrid model and data driven channel estimation algorithm was proposed.Combined with two existing channel estimation methods, including a low complex learning-based channel estimation method and the linear minimum mean square error (LMMSE) channel estimation, the estimator with the ability was facilitated to employ online training to improve estimation performance.Meanwhile, the pilot overhead consumed by generating online training data was saved due to the use of the model-based method in the proposed algorithm, which improved the spectrum efficiency.The simulation results demonstrate that the proposed algorithm has better performance under low signal-to-noise ratio (SNR) and better adaptation to practical imperfections compared with conventional channel estimation methods.…”
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Design optimization and generating characteristics of a linear arc PM vernier machine for wave energy conversion system by Urooj Jadoon, Faisal Khan, Salar Ahmad Khalil, Hatim Alwadie, Adoalateef Alzhrani

“…These advancements highlight the potential of enhanced linear arc PM vernier machines for wave energy conversion systems. …”
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Certainty of Linear Interrelation of Technical and Economic Parameters of Power Units of 300 МWt Thermal Power Stations by E. M. Farhadzadeh, A. Z. Muradaliyev, T. K. Rafiyeva, A. A. Rustamova

“…Its solution will simultaneously demonstrate difficulties in comparing the efficiency of aging power units. It is noted that the known and practically used method for assessing the reliability of the linear regression equation, based on the construction of a “confidence corridor” or “uncertainty band”, does not allow one to answer the main question, viz. whether the relationship of the considered technical and economic indicators corresponds to a linear one. …”
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Survey of research on efficient secure inference for deep learning by HU Peng, SUN Lei, HU Cuiyun, GUO Song, WANG Jingwen, WANG Zhihong, YAO Jingyi

“…For secure protocols, the performance and efficiency of different cryptographic primitive solutions were analyzed by distinguishing between linear and nonlinear operations. …”
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A Robust Stability Control Method Integrating Linear Quadratic Regulator and Proportional Integral for Islanded AC Microgrid by Muhammad Nauman Malik, Qianyu Zhao, Shouxiang Wang

“…The Linear Quadratic Regulator (LQR) has been frequently employed for controlling islanded microgrids (MGs). …”
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Explainable AI: Efficiency Sequential Shapley Updating Approach by Ovanes Petrosian, Jinying Zou

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