Improved SLM algorithm for PAPR reduction in OFDM system by Ce JI, Wenjing ZHU, Ying WEI, Dianxia JIA

“…In order to reduce the peak to average power ratio (PAPR) of the conventional selective mapping (SLM) algorithm,decrease the transmission of side-band information,and improve the spectral efficiency in the orthogonal frequency division multiplexing (OFDM) system,the TL-SLM algorithm based on the conversion matrix and the chaotic sequence was proposed firstly.Although the TL-SLM algorithm could effectively decrease the transmission of side-band information,the reduction of PA P R was limited.To solve this problem,an improved TL-SLM algorithm based on the rotation vector was proposed,which was the TR-SLM algorithm.TR-SLM algorithm introduced the rotation vector to generate more time-domain alternative signals to further reducing the PA P R.The performance analysis shows that although the TL-SLM algorithm and the TR-SLM algorithm increase the complexity a little,the PA P R performance is effectively improved and the transmission of side-band information is greatly reduced.…”
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Greener solvents in extraction of proteins and peptides by Katarína Maráková

“…The sample pretreatment still represents a fundamental aspect of any analytical workflow, and the implementation of sustainable and efficient extraction of proteins is essential to satisfy the increasing requirements for high-quality extraction of proteins from their natural sources. …”
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Comparison of Hadoop Mapreduce and Apache Spark in Big Data Processing with Hgrid247-DE by Firmania Dwi Utami, Femi Dwi Astuti

“…This study provides valuable insights into the strengths and limitations of each framework, offering guidance for practitioners and researchers when selecting the appropriate tool for specific big data processing requirements, particularly with respect to speed, memory usage, and task complexity.…”
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New fruit waste-derived activated carbons of high adsorption performance towards metal, metalloid, and polymer species in multicomponent systems by Sylwia Kukowska, Piotr Nowicki, Katarzyna Szewczuk-Karpisz

“…In the two-component systems, polymers could favour metal/metalloid adsorption based on complexation phenomena. However, the most efficient and environmentally safe activated carbon turned out to be the one obtained from orange peels by microwave-assisted, direct activation at 800 °C in the CO2 atmosphere.…”
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Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

“…Initially, data are denoised using the Savitzky–Golay filter, and five correlation coefficient methods are employed to select input features, with principal component analysis (PCA) used to reduce model complexity. …”
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Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques by Mehdi Moradian, Tek Tjing Lie, Kosala Gunawardane

“…The optimal surge absorption configuration will be chosen based on its ability to meet various criteria, including efficient operation, rapid response, minimal complexity on both power and control sides, and the involvement of active and passive components. …”
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Influence of Electron Transfer Mediators in the Pd(II)-Catalyzed Oxidative Carbonylation of Aniline by Andrea Vavasori, Lucio Ronchin, Luca Pietrobon, Sara Bravo

“…Testing several Pd(II) complexes, metal cocatalysts, and promoters, we have found that the [PdCl₂(dppf)]/FeCl₃/LiBr = 1/1200/200 (mol/mol) system efficiently catalyzes the carbonylation of aniline to form 1,3–diphenylurea selectively (100%) with a TOF of ca. 1177 h⁻¹. …”
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Heterogeneous Electrocatalytic CO2 Reduction by Supported Molecular Catalysts Well Dispersed on Electrode Surface by Ke Ma, Shiyu Zhang, Weixuan Nie

“…Among various electrocatalysts, molecular catalysts, particularly transition metal complexes, stand out due to the high selectivity for single specific products and desirable tunability, enabling rational optimization of catalytic performance. …”
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RMFKAN: Network Spammers Detection Method Based on Improved Graph Mamba by WANG Yuzhe, YAN Jinghua, BU Fanliang, WANG Yifan, LI Jia, HAN Zhuxuan

“…Specifically, subgraphs are tokenized by the random walk strategy, message passing neural networks are input to independently handle different types of edges, and features are enhanced by KAN improved with Fourier coefficients. The feature matrix is input into Bi-Mamba to improve the ability of capturing long-distance dependencies and effectively reduce training complexity. …”
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Container Liner Shipping System Design Considering Methanol-Powered Vessels by Zhaokun Li, Xinke Yu, Jianning Shang, Kang Chen, Xu Xin, Wei Zhang, Shaoqiang Yu

“…Moreover, we propose an adaptive piecewise linearization approach combined with a genetic algorithm, which can efficiently solve large-scale instances. Sensitivity analyses of fuel types and fuel prices are conducted to demonstrate the effectiveness of the model and algorithm. …”
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Spatial ratio of two fungal genotypes content of Naematelia aurantialba and Stereum hirsutum in nutritional growth substrate and fruiting bodies reveals their potential parasitic l... by Jianqiong Lan, Yongkang Zhang, Yingli Cai, Xiaofei Shi, Kaixuan Zhang, Jiacheng Huang, Chengmo Yang, Xinhua He, Fuqiang Yu, Wei Liu

“…Nine species-specific fragments were selected, with four primer pairs validated after evaluating amplification efficiency and melting curves. …”
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3D CAD model classification based on Convolutional Neural Network by DING Bo, YI Ming

“…Due to the intrinsic complexity of 3D CAD models, the automatic model classification methods are scarce. …”
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Tandem reductive amination and deuteration over a phosphorus-modified iron center by Haifeng Qi, Yueyue Jiao, Jianglin Duan, Nicholas F. Dummer, Bin Zhang, Yujing Ren, Stuart H. Taylor, Yong Qin, Kathrin Junge, Haijun Jiao, Graham J. Hutchings, Matthias Beller

“…Abstract Deuterated amines are key building blocks for drug synthesis and the identification of metabolites of new pharmaceuticals, which drives the search for general, efficient, and widely applicable methods for the selective synthesis of such compounds. …”
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3D medical image segmentation using the serial–parallel convolutional neural network and transformer based on cross‐window self‐attention by Bin Yu, Quan Zhou, Li Yuan, Huageng Liang, Pavel Shcherbakov, Xuming Zhang

“…The transformer can extract the global information well but adapting it to small medical datasets is challenging and its computational complexity can be heavy. In this work, a serial and parallel network is proposed for the accurate 3D medical image segmentation by combining CNN and transformer and promoting feature interactions across various semantic levels. …”
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Preprocessing optimization algorithm based on partial channel information feedback in wideband OFDM systems by WANG Xia1, ZHANG Guo-mei1, XUE Tao2

“…To mitigate inter-block interference（IBI） and inter-carrier interference（ICI） in an orthogonal frequency divi-sion multiplexing（OFDM） system,pre-processing approaches at transmitters based on full channel state information（CSI） had been proposed,the performance improved and receiver simplied.However,feeding full CSI back would oc-cupy scarce bandwidth and was impractical sometimes for the systems with high real-time demand.To deal with this problem,a preprocessing optimization based on partial CSI feedback was investigated and three selected preprocessing approaches of optimization matrix were developed and tested.Computer simulation results showed that the proposed op-timization algorithm can effectively cancel IBI and ICI and significantly improve the performance in wideband OFDM systems.Compared with the pre-processing approaches at transmitters based on full CSI,under the condition of meeting the demand for quality of services（QoS）,the proposed scheme has high spectral efficiency and low feedback and com-putation complexity.…”
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Sustainability Measurement of Farming System in Isfahan Agricultural Sector (Smallholders-Rural Production Cooperatives- Farm Corporation) by Saedali Nekooei Naenii, Yosef Ghanbari, Hamid Barghi

“…Stability measurement is a complex interaction between technology, the environment and society. …”
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Research on Personal Loan Default Risk Assessment Based on Machine Learning by Liu Guangsen

“…In the present era of rapid development of the Internet and big data, the scale of personal loans and the complexity of personal credit data are growing rapidly. …”
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Non-Linear Synthetic Time Series Generation for Electroencephalogram Data Using Long Short-Term Memory Models by Bakr Rashid Alqaysi, Manuel Rosa-Zurera, Ali Abdulameer Aldujaili

“…Increasing these values did not improve MSE or cross-correlation and unnecessarily increased computational complexity. The proposed model’s performance was evaluated using the mean-squared error (MSE), Pearson’s correlation coefficient, and the power spectra of the synthetic and original signals, demonstrating the suitability of the proposed method for this application. …”
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CEEMDAN-Based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral-Bevel Gears by Lingli Jiang, Hongchuang Tan, Xuejun Li, Liman Chen, Dalian Yang

“…The IMFs which included greater amounts fault information are selected as the optimal IMFs based on the correlation coefficient. …”
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A Survey of Open-Source Tools for Transmission and Distribution Systems Research by Jennifer Appiah-Kubi, Alexander A. Anderson, Hayden M. Reeve

“…Increasing awareness of these available resources seeks to accelerate their broader use, leading to more efficient and standardized grid analysis. This review paper (which is part of a larger survey effort that studied over 400 tools in the transmission, distribution, buildings, and electric vehicles space) outlines selected open-source resources that have been developed in power transmission and distribution systems research. …”
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