Mixed matrix membranes embedded with Janus mesoporous silica nanoparticles for highly efficient water treatment by Z. M. Mi, D. W. Zhang, D. M. Wang, Z. X. Liu

“…Porous Janus PMO-SO3H&SiO2-NR nanoparticle is the first time to be used as an effective additive to prepare mixed matrix membrane, providing a new approach to achieve highly efficient water treatment of UF membranes.…”
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An examination of the banking efficiency of the BRICS countries: A perspective derived from the oil price volatility by Ammar Jreisat, Mustafa Raza Rabbani, Sara Omran, Somar Al-Mohamad, Walid Bakry

“…The paper applies a two-stage model to process the empirical results consisting in using the Data Envelopment Analysis (DEA) to identify the scores of banks efficiency at a first stage (Stage 1) and determining how volatility in Oil price has impact on these scores of efficiencies on a second stage (Stage 2). …”
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Prediction and optimization of gas turbine secondary air system cooling efficiency based on deep learning by Yulong Yao, Bo Hu, Chuan Wang, Jiawei Fan

“…This work introduces an end-to-end framework that couples high-fidelity numerical simulation (NS) with an attention-augmented 1D-CNN (AM-1D-CNN) surrogate and gradient-based optimization to maximize SAS cooling efficiency under realistic bleed-air limits. First, a steady Reynolds averaged Navier–Stokes (RANS) model was validated against extensive experimental data (including LES spot checks at extreme operating points), achieving close agreement between time-averaged Nusselt number predictions and measured values. …”
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Efficiency of Renewable Energy Potential Utilization in European Union: Towards Responsible Net-Zero Policy by Ewa Chodakowska, Joanicjusz Nazarko, Łukasz Nazarko

“…The efficiency trends over time are also investigated. This approach offers a comprehensive assessment by considering both the technical performance and environmental constraints. …”
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Towards Efficient SAR Ship Detection: Multi-Level Feature Fusion and Lightweight Network Design by Wei Xu, Zengyuan Guo, Pingping Huang, Weixian Tan, Zhiqi Gao

“…Thus, guided by the principles of lightweight design, robustness, and energy efficiency optimization, this study proposes a three-stage collaborative multi-level feature fusion framework to reduce model complexity without compromising detection performance. …”
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Modeling Road Network Vulnerability for Evacuees and First Responders in No-Notice Evacuation by Xiang Chen, Qiang Li

“…First, a no-notice evacuation leaves limited time for proactive emergency planning; therefore, rescue strategies in this scenario rely heavily on real-time traffic information. …”
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Improved Antitumor Efficiency of N4-Tetradecyloxycarbonyl Gemcitabine-Loaded Liposomes for Pancreatic Cancer Chemotherapy by Wang D, Wang X, Li Y, Wang X, Wang X, Su J, Wang A, Lv K, Liu M, Xia G

“…LipotcGem suppressed tumor metastasis and prolonged survival without perceptible systemic toxicity, which may be caused by the longer t1/2 in vivo (3.5 times, 5.23 vs 1.46 h) and more enrichment in tumor tissue (750 times).Conclusion: LipotcGem significantly increased the anti-tumor efficiency and decreased the toxicity for chemotherapy of pancreatic cancer. …”
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Zn-Al layered double hydroxide nanoparticles for efficient removal of food dyes from wastewater by Rasheed M.A.Q. Jamhour, Ashraf M. Al-Msiedeen, Renad Z. Al-Sharaydeh, Mohannad R. Jamhour, Abdelmnim M. Altweiq

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Fault Diagnosis of Rolling Bearings Based on Two-step Transfer Learning and EfficientNetV2 by Du Kangning, Ning Shaohui

“…Firstly, the model is trained on the full life time bearing data set and then the model shallow weights are freezed to train it on the multi-condition bearing data set for the first transfer learning. …”
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Peculiarities of the functioning of the financial services market, taking into account the hypothesis of an efficient market and behavioral effects by Maryna Ivashchenko

“…A number of research methods were used in the work on the research: analysis of scientific sources, research of historical data of the financial services market, statistical methods, quantitative analysis of behavioral effects and models of behavioral economics. The "December rally" effect has been studied and described as a phenomenon where financial markets, particularly stock markets, tend to show positive changes during December, and the January effect, when financial markets tend to show certain patterns or changes during January, the first month of the new year. …”
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A Fast and Efficient Beamforming Algorithm Imitating Plant Growth Gene for Phased Array Antenna by Jinling Zhang, Chen Han, Zhanqi Zheng, Xiongzhi Zhu, Xiaohui Li

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Mathematical modeling of heat and mass transfer processes in a reciprocating engine of a vehicle with a hybrid powertrain by Fedіr Abramchuk, Vitaliy Krivda, Olha Sakno, Valentyna Olishevska, Kostyantyn Kornilenko, Olena Sakno

“…The third scenario considers a decrease in ambient temperature. This study modeled the dependence of engine wall temperatures over time for these three operating conditions, enabling control of thermal modes and prediction of ICE performance to enhance the efficiency of the vehicle's hybrid power unit. …”
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Joint Adaptive Resolution Selection and Conditional Early Exiting for Efficient Video Recognition on Edge Devices by Qingli Wang, Chengwu Yu, Shan Chen, Weiwei Fang, Naixue Xiong

“…Given the explosive growth in video content generation, there is a rising demand for efficient and scalable video recognition. Deep learning has shown its remarkable performance in video analytics, by applying 2D or 3D Convolutional Neural Networks (CNNs) across multiple video frames. …”
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Mathematical modeling of pregnancy loss with normal embryo karyotype in the first trimester by N. N. Potapov, E. V. Kudryavtseva, V. V. Kovalev

“…The risk of pregnancy loss in the first trimester comprises 12.5-18.7 %. It is timely and relevant to develop methods for predicting miscarriage.Aim: to develop a predictive model for assessing a risk of miscarriage in case of normal embryo karyotype.Materials and Methods. …”
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A comparative study on the efficiency of biochar and iron-modified biochar for Pb-removal from aqueous solutions by Hossam S. Jahin, Mohamed H. H. Abbas, Ihab M. Farid, Amany Gameel, Mohamed A. Bassouny

“…Similarly, Pb(II) desorption on this biochar followed the same kinetic model; however the first-order kinetic constant was approximately 4 times higher in the first phase than in the second one. …”
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Enhanced Efficiency in SMEs Attendance Monitoring: Low Cost Artificial Intelligence Facial Recognition Mobile Application by Hong-Danh Thai, Yeong-Seok Seo, Jun-Ho Huh

“…The facial recognition model is designed to operate in real-time, with the ability to detect and identify employees as they check in and out of the workplace. …”
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Efficient MMSE-SQRD-Based MIMO Decoder for SEFDM-Based 2.4-Gb/s-Spectrum-Compressed WDM VLC System by Yiguang Wang, Yingjun Zhou, Tao Gui, Kangping Zhong, Xian Zhou, Liang Wang, Alan Pak Tao Lau, Chao Lu, Nan Chi

“…In this paper, we carry out an analysis of SEFDM modulation and establish a quasi-multiple-input multiple-output (MIMO) model for SEFDM-based systems. Based on this quasi-MIMO system model, for the first time, we propose to use an MMSE-sorted QR decomposition (MMSE-SQRD)-algorithm-based MIMO decoder to efficiently eliminate the ICI in a high-speed SEFDM-based wavelength-division multiplexing (WDM) VLC system. …”
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Explainable artificial intelligence for energy efficiency in experimental refrigeration Systems: Advanced cutting-edge sunflower optimization by Mehmet Das, Oguzhan Pektezel, Cebrail Barut, Gungor Yildirim, Bilal Alatas

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SPEMix: a lightweight method via superclass pseudo-label and efficient mixup for echocardiogram view classification by Shizhou Ma, Yifeng Zhang, Delong Li, Yixin Sun, Zhaowen Qiu, Lei Wei, Suyu Dong

“…SP Block can generate a superclass pseudo-label of unlabeled data from the perspective of the superclass probability distribution, improving the classification generalization by leveraging the superclass pseudolabel.ResultsWe also evaluate the generalization of our method on the Unity dataset and the CAMUS dataset. The lightweight model trained with SPEMix can achieve the best classification performance on the publicly available TMED2 dataset.DiscussionFor the first time, we applied the lightweight model to the echocardiogram view classification, which can solve the limits of the clinical application due to the complex model architecture and help cardiologists diagnose heart diseases more efficiently.…”
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An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

“…A comparative analysis against state-of-the-art deep learning (DL) models, including RL, CNN, RNN, the generative adversarial network (GAN), the time-series transformer (TST), and bidirectional encoder representations from transformers (BERT), demonstrates the superiority of the proposed DRL-NSABC. …”
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