Fisher Information-Based Optimization of Mapped Fourier Grid Methods by Sotiris Danakas, Samuel Cohen

“…The mapped Fourier grid method (mapped-FGM) is a simple and efficient discrete variable representation (DVR) numerical technique for solving atomic radial Schrödinger differential equations. …”
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Genomics, phenomics, and machine learning in transforming plant research: Advancements and challenges by Sheikh Mansoor, Ekanayaka M.B.M. Karunathilake, Thai Thanh Tuan, Yong Suk Chung

“…Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement. …”
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The necessity of the Black Sea region transport structure improvement by L.V. Nazarova

“…The second direction occurs when the LSPD has been already developed, so, its main purpose becomes the permanent monitoring of its state and providing necessary adjustments. The complex of qualitative and quantitative parameters, that reflect the efficiency of supply chains are also developed by the author. …”
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Modelling of Water Quality: An Application to a Water Treatment Process by Petri Juntunen, Mika Liukkonen, Marja Pelo, Markku J. Lehtola, Yrjö Hiltunen

“…The approach includes variable selection to find the most important factors affecting the quality parameters. …”
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A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…In particle swarm optimization for complex optimization challenges, parameter selection significantly influences performance across various population states. …”
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The Approach of Induced Generalized Neutrosophic Cubic Shapley Choquet Integral Aggregation Operators via the CODAS Method to Solve Distance-Based Multicriteria Decision-Making Pro... by Majid Khan, Muhammad Gulistan, Mohammed M. Al-Shamiri

“…This study aims to define a conjecture that can handle complex frames of work more efficiently that occurs in daily life problems. …”
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Rethinking Technological Investment and Cost-Benefit: A Software Requirements Dependency Extraction Case Study by Gouri Ginde, Guenther Ruhe, Chad Saunders

“…Drawing upon two publicly available data sets, we compare decision-making based on 1) exclusively on accuracy and 2) on ROI analysis to provide decision support for the selection and usage of ML classification methods. As such, our results showed that, 1) chasing model accuracy improvisation through increased annotated data does not generate expected returns in traditional ML methods. 2) For complex ML algorithms, the need for larger annotated dataset investment cost is justified by the higher returns, however, the trade-offs between accuracy and ROI become evident.…”
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The Role of TGF-β Signaling Pathway in Determining Small Ruminant Litter Size by Ying Han, Guiling Cao, Wenting Chen, Changfa Wang, Muhammad Zahoor Khan

“…This improved the understanding of the genetic basis for prolificacy provides valuable insights for marker-assisted selection strategies aimed at enhancing reproductive efficiency in small ruminant breeding programs, with significant implications for improving livestock productivity and economic outcomes.…”
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Recombinant HMG1 Protein Produced in Pichia pastoris: A Nonviral Gene Delivery Agent by A.R. Mistry, L. Falciola, L. Monaco, R. Tagliabue, G. Acerbis, A. Knight, R.P. Harbottle, M. Soria, M.E. Bianchi, C. Coutelle, S.L. Hart

“…HMG1 transfection complexes were not toxic to cultured cells, even at high concentrations.…”
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Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm by Liyang Ju, Xiaoyuan Wu, Yixi Zhao, Jianfeng Liu, Kun Liu

“…Compared with traditional genetic algorithms, this improves computational efficiency and solves complex problems in a better manner. …”
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Lithology Identification of Buried Hill Reservoirs Based on Support Vector Machine by GAO Yongde, WU Jinbo, SUN Dianqiang

“…As an unconventional reservoir, the potential mountain bedrock reservoir presents significant challenges for lithology identification compared to traditional clastic reservoirs due to its complex bedrock structure, tectonic features, chemical composition and mineralogy. …”
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Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…This classification examines various algorithms for energy transactions considering the agent type, learning methods, policy, state space, action space, and action selection for state, action, and reward function outputs. …”
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EtHgSC: Eigen Trick-Based Hypergraph Stable Clustering Algorithm in VANET by Mays Kareem Jabbar, Hafedh Trabelsi

“…To achieve high stability for the VANET, this paper presents a new efficient Eigen-trick-based hypergraph stable clustering algorithm (EtHgSC). …”
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Graph cut-based segmentation for intervertebral disc in human MRI by Leena Silvoster, R. Mathusoothan S. Kumar

“…The polynomial time complexity of this approach enables the exploration of a globally optimal solution, eliminating the need for user interaction in seed point selection. …”
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Research progress on SCR catalysts for the synergistic removal of NO and VOCs from coal-fired power plants flue gas: A review by CHEN Yin, LIAO Yanfen*, MA Xiaoqian

“…Synergistic NO and VOCs removal from coal-fired power plants flue gas in the SCR zone can efficiently cut treatment costs, which needs scientific investigation and is of environmental benefits. …”
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Leveraging machine learning to proactively identify phishing campaigns before they strike by Kun Zhang, Haifeng Wang, Meiyi Chen, Xianglin Chen, Long Liu, Qiang Geng, Yu Zhou

“…These algorithms were chosen for their strong global search capabilities and adaptability to complex datasets, ensuring optimal parameter selection for improved model performance. …”
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Achievements and prospects of applying high-throughput sequencing techniques to potato genetics and breeding by I. V. Bykova, N. A. Shmakov, D. A. Afonnikov, A. V. Kochetov, E. K. Khlestkina

“…In recent years, marker-assisted selection (MAS) has been intensively used to increase potato breeding efficiency. …”
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TOPSIS method-based decision-making model for bipolar quadripartitioned neutrosophic environment by G. Muhiuddin, Mohamed E. Elnair, Satham Hussain S, Durga Nagarajan

“…In the domain of renewable energy, selecting the most suitable energy source involves navigating complex decision-making processes influenced by multiple criteria and inherent uncertainties. …”
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A versatile HPLC method collaborated with NaDES-ultrasound-assisted LLE and machine learning for purity testing and trace analysis of 1,4-benzodiazepines in crime scene evidence, h... by Walaa Nabil Abd-AlGhafar, Rasha Abo Shabana, Rania El-Shaheny, Manar M. Tolba

“…Therefore, the development of a fast, versatile, and high throughput method for the analysis of these compounds in hospital effluent and food samples from crime scenes is of paramount importance. However, efficient extraction from such complex matrices usually requires large volumes of toxic organic solvents, lengthy time, and high cost. …”
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Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine by Wei Yang, Danhui Yi, XiaoHua Zhou, Yuanming Leng

“…Intelligent data science improves efficiency and accuracy for implementing RWCE-TCM. The proposed data science methodology for TCM can handle complex data, ensure high-quality RWD acquisition and analysis, and provide in-depth insights into clinical benefits of TCM. …”
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