Isolation and Optimization of Phages Infecting Members of the <i>Streptococcus bovis</i>/<i>Streptococcus equinus</i> Complex by Jenny Laverde Gomez, Cory Schwarz, Marina Tikhonova, Clark Hamor, Yizhi J. Tao, Pedro J. J. Alvarez, Jacques Mathieu

“…Optimizing the ruminal microbiome to enhance feed efficiency could help address both challenges. Members of the <i>Streptococcus bovis</i>/<i>Streptococcus equinus</i> complex (SBSEC) are key contributors to ruminal acidosis and related digestive disorders due to their role in carbohydrate fermentation and lactic acid production. …”
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A Fast Satellite Selection Method Based on the Multi-Strategy Fusion Grey Wolf Optimization Algorithm for Low Earth Orbit Satellites by Wei Lv, Mingjian Chen, Xingyu Shi, Yuxing Li, Yang Shen, Wanli Li, Shuai Tong

“…The traditional satellite selection algorithms have the problems of high computational complexity and significant hardware dependence. …”
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Optimizing demulsifier selection for crude oil dehydration: a fuzzy TOPSIS-based multi-criteria decision-making approach by Jianyong Yu, Merwa Alhadrawi, Farag M. A. Altalbawy, Ahmed Rasol Hasson, M. Mehdi Shafieezadeh

“…However, selecting an optimal demulsifier remains a complex problem due to the need to balance separation efficiency, environmental impact, cost-effectiveness, and ease of application. …”
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The antecedents and contingency factors for seaport users’ time efficiency: resource-based view perspective by Renger Kanani

“…Seaport efficiency is an important driver for seaport selection. …”
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Analysis of the Drapeability and Bending Rigidity of Clothing Packages—A Preliminary Study by Michał Stępień, Iwona Frydrych

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An artificial intelligence optimization of NOx conversion efficiency under dual catalytic mechanism reaction based on multi-objective gray wolf algorithm by Zhiqing Zhang, Zicheng He, Yuguo Wang, Feng Jiang, Weihuang Zhong, Bin Zhang, Yanshuai Ye, Zibin Yin, Dongli Tan

“…In the era of industry 4.0, artificial intelligence (AI) offers new perspectives for researching the complex sustainable chemical reactions in selective catalytic reduction (SCR). …”
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Optimized Subset Selection for Matrices and its Application in Hyperspectral Band Selection by Songyi Xiao, Liangliang Zhu, Xinwen Zhu, Xiurui Geng

“…When spectral bands are considered as scatter points in the image space, hyperspectral band selection can be transformed into the column subset selection problem for matrices. …”
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Restart Mechanisms for the Successive-Cancellation List-Flip Decoding of Polar Codes by Charles Pillet, Ilshat Sagitov, Alexios Balatsoukas-Stimming, Pascal Giard

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A novel Pd complex coated on TiFe2O4 magnetic nanoparticles as an efficient and recoverable catalyst for the synthesis of 5-substituted 1H-tetrazoles by Abdulrahman A. Almehizia, Munthar Kadhim Abosaoda, Anjan Kumar, Vicky Jain, Suhas Ballal, Abhayveer Singh, Karthikeyan Jayabalan, Subhashree Ray, Pranchal Rajput, Ojas Prakashbhai Doshi

“…A novel palladium (Pd) complex was then immobilized on the functionalized TiFe2O4 MNPs, resulting in a magnetically recoverable, highly efficient, and selective nanocatalyst. …”
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Algorithm for the synthesis of linear antenna arrays with desired radiation pattern and integral amplitude coefficients by A. V. Sadchenko, O. A. Kushnirenko, A. V. Troyansky

“…It is possible to simplify the technical implementation of PAR, if complex representation of coefficients of amplitude-phase distribution of the field along the lattice is approximated by real values in the synthesis stage. …”
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Identifying potential provenances for climate-change adaptation using spatially variable coefficient models by Marieke Wesselkamp, David R. Roberts, Carsten F. Dormann

“…Results The spatially-variable coefficient model fits the data substantially better than a stationary, i.e. constant-effect analysis (as measured by AIC to account for differences in model complexity). …”
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Increasing the efficiency of osseointegration in dental implantation in patients with diabetic osteopathy by remodeling bone tissue and intensifying its density. by O.O. Gudarian, D.O. Cherednyk

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Bi-directional virtual search algorithm for efficient and collision-free path planning in autonomous robots navigating static and dynamic environments by M.D. Yeshwanth Kumar, K. Rajchandar

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Simple Selection Index (SSI) Method in Electric Vehicle Selection for Logistics Companies by Hadi Hikmadyo Bisono, Ema Utami

“…While EVs offer advantages such as energy efficiency, reduced carbon emissions, and lower operating costs, selecting the right electric vehicle for a logistics company is not a straightforward task. …”
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A Synergistic Approach to Colon Cancer Detection: Leveraging EfficientNet and NSGA-II for Enhanced Diagnostic Performance by Noushin Saba, Afia Zafar, Mohsin Suleman, Kainat Zafar, Shahneer Zafar, Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Iqbal, Syed Sajid Ullah

“…This study proposes an innovative, automated approach to colon cancer diagnosis by integrating advanced machine learning techniques with deep learning architectures. We employed EfficientNet, a state-of-the-art convolutional neural network, to extract intricate features from histopathological images, alongside the Non-dominated Sorting Genetic Algorithm II for optimal feature selection. …”
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Intelligent Decision Framework for Booster Fan Optimization in Underground Coal Mines: Hybrid Spherical Fuzzy-Cloud Model Approach Enhancing Ventilation Safety and Operational Effi... by Shibin Yao, Jian Zhou, Manoj Khandelwal, Abiodun Ismail Lawal, Chuanqi Li, Moshood Onifade, Sangki Kwon

“…Therefore, it is necessary to consider the addition of booster fans to ensure effective ventilation. However, the selection of booster fans involves multiple influencing factors, and the complex interrelationships among fans remain unclear, making solution selection and risk assessment more challenging. …”
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A Novel Fault Diagnosis Method Using FCEEMD-Based Multi-Complexity Low-Dimensional Features and Directed Acyclic Graph LSTSVM by Rongrong Lu, Miao Xu, Chengjiang Zhou, Zhaodong Zhang, Kairong Tan, Yuhuan Sun, Yuran Wang, Min Mao

“…The Fast Complementary Ensemble Empirical Mode Decomposition (FCEEMD) method is applied to decompose vibration signals, effectively reducing background noise. Nonlinear complexity features are then extracted, including sample entropy (SE), permutation entropy (PE), dispersion entropy (DE), Gini coefficient, the square envelope Gini coefficient (SEGI), and the square envelope spectral Gini coefficient (SESGI), enhancing the capture of the signal complexity. …”
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Structural and Economic Approach to the Selection of Peak Regulating Capacities at Thermal Power Plants by E. V. Bohdan, M. B. Karnitski

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Intelligent Modelling Techniques for Enhanced Thermal Comfort and Energy Optimisation in Residential Buildings by Shamaila Iram, Hafiz Muhammad Athar Farid, Abduljelil Adeola Akande, Hafiz Muhammad Shakeel

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Multimedia privacy protection: an N-round cascaded cryptosystem based on merged multi-chaotic maps under various image attacks by Tarek Srour, Ali M. El-Rifaie, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm, Bilel Neji

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