A review on mid-band and high-band 5G MIMO antenna designs: challenges and research directions by Upali Aparajita Dash, Arun Agarwal, Sasmita Pahadsingh

“…The authors have attempted to initialize design parameters that include, number and positioning of ports, shape and position of dielectric resonator antennas, usage of metasurface walls to attain high isolation, band width, gain, and efficiency. Scopus-indexed research papers have been carefully selected and reviewed to achieve the aforementioned purpose. …”
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Sowing, Monitoring, Detecting: A Possible Solution to Improve the Visibility of Cropmarks in Cultivated Fields by Filippo Materazzi

“…The research focuses on the Vignale plateau, part of the pre-Roman city of Falerii (Viterbo, Italy), where traditional remote sensing methods face challenges due to complex environmental and archaeological conditions. …”
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Multipath Branch Model-Aided Differential Evolution Algorithm Based on Regional Error by Yang Liu, Yi-Xuan Zhang, Zhong-Chao Lin, Yu-Jia Zou

“…Compared with the traditional single model, the combination model can deal with complex and diverse optimization problems more effectively and has stronger robustness and versatility. …”
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Intersection decision making for autonomous vehicles based on improved PPO algorithm by Dong Guo, Shoulin He, Shouwen Ji

“…Second, an invalid action masking mechanism is adopted to reduce the action space, ensuring actions are only selected from feasible sets, thereby enhancing decision efficiency. …”
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Managerial Ownership, Company Size, and Profitability as Determinant Factors of Tax Avoidance in Food and Beverage Companies Listed on the IDX in 2020-2023 by Deni Rachmad Sulistiyanto, Heru Tjaraka

“…Profitability significantly affects tax avoidance, where more profitable companies tend to implement more complex tax avoidance strategies. This study makes an important contribution to the tax avoidance literature, providing insight for policymakers to formulate more effective regulations and assisting companies in managing tax strategies efficiently. …”
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PAHs removal by soil washing with thiacalix[4]arene tetrasulfonate by Le-Yao Xing, Guan-Han Meng, Ji-Xian Yang, Ming-Han Xu, Yi-Ming Xu, Hai-Xiao Xie, Ai-Jie Wang, Yi-Lu Sun

“…Thiacalix[4]arene tetrasulfonate (TCAS) has a unique molecular structure of a sulfonate group and a sulfur atom, which enhances its solubility and facilitates selective binding with PAHs. It forms host-guest complexes with PAHs through π-π stacking, OH-π interactions, hydrogen bonding, van der Waals forces, and electrostatic interactions. …”
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Multi-Dimensional Parameter-Estimation Method for a Spatial Target Based on the Micro-Range Decomposition of a High-Resolution Range Profile by Xing Wang, Degui Yang, Zhichen Zhao

“…Then, micro-range coefficients are selected based on their Cramér–Rao lower bound (CRLB), and the correlation between these coefficients and target parameters is exploited for scattering center matching. …”
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Fha initiates the inside-out assembly of the type VI secretion system by Tong-Tong Pei, Xing-Yu Wang, Yi-Qiu Zhang, Ying An, Han Luo, Yumin Kan, Hao Li, Ming-Xuan Tang, Zi-Yan Ye, Jia-Xin Liang, Tao Jian, Hao-Yu Zheng, Zeng-Hang Wang, Xiaoye Liang, Xiaotian Liu, Mingjie Zhang, Tao Dong

“…Summary: How cells orchestrate the quantity and location while building complex intracellular machinery remains a fundamental biological question. …”
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Enhancing radiomics robustness using bayesian penalized likelihood PET reconstruction: application to Phantom and non-small cell lung cancer patient studies by Zahra Valibeiglou, Jalil Pirayesh Islamian, Yunus Soleymani, Saeed Farzanehfar, Farahnaz Aghahosseini, Neda Gilani, Arman Rahmim, Peyman Sheikhzadeh

“…The stability of radiomics features was assessed by calculating the coefficient of variation (COV) for each feature across variations in reconstruction parameters. …”
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Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting by Vijayalakshmi S, John A, Sunder R, Senthilkumar Mohan, Sweta Bhattacharya, Rajesh Kaluri, Guang Feng, Usman Tariq

“…The metrics considered are sensitivity, specificity, accuracy and time complexity. The experimental results of the study using measures such as sensitivity, specificity, accuracy and time complexity. …”
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Unraveling the Engagement of Kinases to CRBN Through a Shared Structural Motif to Optimize PROTACs Efficacy by Serena Rosignoli, Sara Giordani, Maddalena Pacelli, Giulia Guarguaglini, Alessandro Paiardini

“…This perspective delves into the molecular determinants governing PROTAC selectivity and degradation efficiency, with a specific focus on kinases showing distinct G-loop conformations. …”
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A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images by Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho, Byoungchol Chang

“…Future work will explore its adaptability to additional datasets and optimize its computational complexity for broader deployment.…”
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RATIONAL SUPPORTIVE THERAPY FOR CHEMOTHERAPY INDUCED ANEMIA: A PHARMACO-ECONOMIC ANALYSIS OF ERYTHROPOIETIN THERAPY IN CANCER PATIENTS IN RUSSIAN FEDERATION by V. B. Larionova, I. S. Krysanov, A. V. Snegovoy, P. A. Zeinalova, V. S. Krysanova, V. Yu. Ermakova

“…Modern anticancer therapy due to its intensity and molecular biology orientation allows achieving higher efficiency and theoretically reducing the incidence of complications. …”
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Cystic Fibrosis Patient Registries: Domestic and Foreign Experience by Dmitry A. Andreev, Ekaterina E. Bashlakova, Natalia V. Khachanova, Maria V. Davydovskaia

“…Cystic fibrosis is a multi-organ genetic disease that reduces life expectancy and requires costly complex therapy. The economic burden of cystic fibrosis is determined by the cost of treatment, the conditions for optimizing medical technologies based on epidemiological knowledge of the disease course nature and the therapy effectiveness. …”
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PAMFPN: Position-Aware Multi-Kernel Feature Pyramid Network with Adaptive Sparse Attention for Robust Object Detection in Remote Sensing Imagery by Xiaofei Yang, Suihua Xue, Lin Li, Sihuan Li, Yudong Fang, Xiaofeng Zhang, Xiaohui Huang

“…This work bridges the gap between efficient computation and robust feature fusion in remote sensing detection, offering a universal solution for real-world applications.…”
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High yield gluconic acid leaching and recovery of valuable metals from end-of-life lithium-ion batteries by Reinhard Lerchbammer, Eva Gerold, Helmut Antrekowitsch

“…Beyond reducing the ecological footprint of leaching processes, organic acids offer improved selectivity and efficiency in metal recovery. Among them, gluconic acid has proven to be a particularly effective agent for the extraction of valuable metals.Through statistical optimization, the leaching process achieved extraction efficiencies exceeding 98 % for lithium, nickel, cobalt, and manganese from end-of-life lithium-ion batteries (EoL-LIBs), while significantly limiting the co-dissolution of copper, iron, and aluminum.Subsequently, nickel, cobalt, and manganese were selectively recovered through precipitation using oxalic and sulphide agents. …”
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Optimization of Business Processes Through BPM Methodology: A Case Study on Data Analysis and Performance Improvement by António Ricardo Teixeira, José Vasconcelos Ferreira, Ana Luísa Ramos

“…The redesign strategy focused on selective automation using Python 3.10 scripts and Power BI dashboards, incorporating techniques such as linear programming and forecasting to improve process efficiency and quality while maintaining flexibility. …”
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Quantification of Phenolic Compounds in Olive Oils by Near-Infrared Spectroscopy and Multiple Regression: Effects of Cultivar, Hydroxytyrosol Supplementation, and Deep-Frying by Taha Mehany, José M. González-Sáiz, Consuelo Pizarro

“…HTyr supplementation significantly increased both HTyr and Tyr levels in non-fried and fried supplemented oils, with HTyr rising from single digits in some controls (around 0 mg/kg) to over 300 mg/kg in most of the supplemented samples. SELECT efficiently reduced redundancy by selecting the most vital wavelengths and thus significantly improved the regression models for key phenolic compounds, including HTyr, Tyr, caffeic acid, decarboxymethyl ligstroside aglycone in dialdehyde form (oleocanthal), decarboxymethyl oleuropein aglycone in dialdehyde form (oleacein), homovanillic acid, pinoresinol, oleuropein aglycone in oxidized aldehyde and hydroxylic form (OAOAH), ligstroside aglycone in oxidized aldehyde and hydroxylic form (LAOAH), and total phenolic content (TPC), achieving correlation coefficients (R) of 0.91–0.98. …”
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Recommended cucumber hybrids for growing in greenhouses under conditions artificial lighting by V. G. Korol

“…The development of light culture in the country allows greenhouse complexes to use their greenhouses year-round, significantly increase plant productivity, receive most of the harvest in the winter months of the year and sell it at a higher price. …”
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Demand side management with electric vehicles and optimal renewable resources integration under system uncertainties by Mohamed Mostafa Eissa, Rania Abdel Wahed Swief, Tarek Saad Abdel Salam

“…This should be smartly attained through selecting efficient optimization techniques to improve power quality, voltage profile, and reliability. …”
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