A study of government regulation’s strategy for solving the algorithmic black-box puzzle of digital platforms: a complex network-based perspective by Gehui Zhu, Mingliang Tang, Xiao Jian, Tong Mu

“…By the reason of the dynamism, cross-border and complexity characteristics compared with traditional physical platforms, the development of digital platforms is no longer limited to the level of specific commodity goods or services, and the traditional regulatory system cannot match and adapt to the new attributes of digital platforms them. …”
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Selection of favorable shale lithofacies based on an integrated geology and engineering approach: a case study of Lishu Fault Depression in Songliao Basin by Xuan LIN, Jianfeng ZHU, Haiming PANG, Zhongbo LI, Wei WANG, Shuo LIU, Haibin LI, Zhenxue JIANG, Zhuo LI, Chunyu QIN, Kangbo CHEN

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Designing a Stock Recommender System Using the Collaborative Filtering Algorithm for the Tehran Stock Exchange by Marziyeh Nourahmadi, Ali Rahimi, Hojjatollah Sadeqi

“…Stock recommendation systems can assist investors in achieving superior returns by selecting the right stocks. However, traditional stock recommendation systems often lack the necessary accuracy and efficiency. …”
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Channel estimation method based on compressive sensing for FBMC/OQAM system by Weina YUAN, Qiu YAN

“…In mobile-to-mobile sensor networks,the channel estimation for FBMC/OQAM system can be investigated as a compressive sensing problem to raise frequency spectrum efficiency by exploiting the sparse nature of wireless channels.Firstly,a novel orthogonal matching pursuit algorithm with selection weak strategy and regularization based on Tanimoto coefficient (T-SWROMP) was proposed to improve the accuracy of LS channel estimation.Then,T-SWROMP methods with auxiliary pilot and coding were used to estimate channel frequency response for FBMC/OQAM system.The experimental results demonstrate the proposed method has lower complexity than the traditional SWOMP method.In addition,it achieve best performance among the traditional OMP,SWOMP and ROMP methods under dual-selective channels.…”
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Economic Evaluation of the Investment in Sensor Equipment Based on Data Valuation in Prediction Model by Jeong-Gi Lee, Deok-Joo Lee

“…On the other hand, MIBM is advantageous in scenarios where computational efficiency and robustness are prioritized. To support method selection, we also analyze the computational complexity of both approaches and derive error bounds. …”
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Design of a chiral molecular pocket in a Ni(II) complex to improve stereoselectivity in the kinetic resolution of racemic epoxides with CO2 by Mikhail A. Emelyanov, Alexander V. Bachinskiy, Yana V. Derkach, Vasiliy A. Chaliy, Alexander F. Smol'yakov, Michael G. Medvedev, Aleksei A. Titov, Victor I. Maleev, Vladimir A. Larionov

“…However, one is the main challenges in this direction is the absence of the universal and efficient chiral catalytic systems for the resolution of different epoxides by CO2 with a high selectivity factor (s). …”
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Joint antenna selection and resource allocation for mm‐wave directional D2D communications using distributed deep reinforcement learning by Pouya Akhoundzadeh, Ghasem Mirjalily

“…Abstract In this paper, with the promising assumption of using adaptive directional microstrip antenna on user equipment, the problem of joint antenna selection, spectrum assignment, and transmit power allocation for mm‐wave device‐to‐device communications underlying cellular networks is tackled, with the goal of enhancing system throughput and energy efficiency. …”
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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…In this paper, we propose a framework that uses data-level approximate computing techniques, including by diverse sampling strategies, precision scaling, quantization, and feature selection methods, to evaluate the impact of these techniques on the computational efficiency and accuracy of KNN and SVM models. …”
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A lightweight Xray-YOLO-Mamba model for prohibited item detection in X-ray images using selective state space models by Kai Zhao, Shufan Peng, Yujin Li, Tianliang Lu

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Synergistic Removal of Cr(VI) Utilizing Oxalated-Modified Zero-Valent Iron: Enhanced Electron Selectivity and Dynamic Fe(II) Regeneration by Song Hou, Jiangkun Du, Haibo Ling, Sen Quan, Jianguo Bao, Chuan Yi

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A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning by Junyao Ding, Jianchao Du, Hejie Wang, Song Xiao

“…This paper also adds an adaptive mechanism and evolution strategy to improve the loss of population diversity and degeneration in the later stages of iteration, thereby enhancing search efficiency. The experimental results on eight UCI datasets show that the proposed method significantly improves classification performance and has excellent feature selection capability.…”
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Mesoporous magnetic supported Cu complex for one-pot synthesis of 5-substituted 1H-tetrazoles in green media and the oxidation of sulfides by Somayeh Molaei, Mohammad Ghadermazi

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Enhancing Flavor Complexity in Craft Beer: Sequential Inoculation with Indigenous Non-<i>Saccharomyces</i> and Commercial <i>Saccharomyces</i> Yeasts by María Victoria Mestre Furlani, Mercedes Fabiana Vargas Perucca, Diego Bernardo Petrignani, Silvia Cristina Vergara, María José Leiva-Alaniz, Yolanda Paola Maturano, Fabio Vazquez, Eduardo Dellacassa

“…However, their lower fermentation efficiency and ethanol sensitivity limit their use. …”
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Correlation of Complex Impacted Mandibular Teeth with Pericoronitis and Effect of Minimally Invasive Tooth Extraction on Patients’ Long-term Outcome of Masticatory Ability by Tinghong Nie, Bojie Chang, Lili Tian, Shansong Cao, Junjie Wang, Haitao Qi, Lirong Gao

“…A total of 101 patients with complex impacted teeth who were treated in our hospital from March 2019 to June 2021 were selected and divided into the control group (n = 55) and the observation group (n = 46) according to the different treatment methods. …”
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Energy-Efficiency Maximization in Backscatter Communication-Based Non-Orthogonal Multiple Access System: Dinkelbach and Successive Convex Approximation Approaches by Dingjia Lin, Tianqi Wang, Kaidi Wang, Zhiguo Ding

“…The goal is to maximize energy efficiency (EE) through the optimization of the beamforming matrix and the reflection coefficient of the BackCom devices. …”
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Highly Selective Precipitation of Platinum(IV) from HCl Solutions Using <i>m</i>-Phenylenediamine Utilizing Difference in Stability of Ionic Crystals by Kazuya Matsumoto, Yuki Hata, Hiroshi Katagiri, Mitsutoshi Jikei

“…The development of a selective separation and recovery method for platinum-group metals (PGMs) is in high demand to establish efficient and practical recycling technologies for different secondary materials such as industrial automobile catalysts. …”
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An Enhanced DCO-OFDM Scheme for Dimming Control in Visible Light Communication Systems by Yang Yang, Zhimin Zeng, Julian Cheng, Caili Guo

“…Furthermore, two parameter selection mechanisms with different complexities and performance gains are designed for the piecewise function in the eDCO-OFDM scheme. …”
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A Smart Ru‐Locked Chemiluminescence Probe via Bioorthogonal Activation for Highly Selective, Real‐Time and Noninvasive In Vivo Imaging of Thiol Dysregulation by Dongnan Guo, Dan Xu, Xiaofeng Wei, Chunying Fan, Bobo Wang, Laifu Li, Haixia Song, Wenguang Yang, Yujie Wang, Zhaojia Wang, Xiaofang Hou, Sicen Wang

“…The BAC probe overcomes many limitations that existed in other chemiluminescence probes via a highly selective “Ru‐locked” mechanism to achieve light‐independent, thiol‐triggered activation in the complex tumor microenvironment. …”
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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…This approach enables more precise, efficient, and personalized healthcare interventions, wherein the key steps include: 1) Geometry-based feature selection from high-dimensional health data-This effectively reduces dimensionality while preserving discriminative health patterns. 2) Probabilistic multi-topic representations of individual health profiles-These latent space embeddings capture complex health-need interactions. 3) Graph-based community detection via shared clinical/behavioral traits-The algorithm identifies natural clusters with medical relevance. 4) Personalized intervention ranking by community relevance-This ensures tailored care plan recommendations for each subgroup. …”
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Efficient removal of uranium (VI) from environmental water samples by cyclodextrin-intercalated layered double hydroxide-coated magnetic nanoparticles by Ali Esrafili, Mahnaz Ghambarian, Mahmood Yousefi, Najmeh Yazdanfar

“…The applicability of the adsorbent was tested by removing uranium (VI) from diverse complex environmental water samples. As a result of the removal efficiencies exceeding 92.76% with relative standard deviations (RSDs%) below 6.73%, the synthesized adsorbent can successfully remove Uranium (VI) from complex real samples with acceptable precisions.…”
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