Encoding and Decoding of Secret Messages Using Matrices by James, Niwagaba

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Mapping the dynamics of aquatic vegetation in Lake Kyoga and its linkages to satellite lakes by Yaxiong Ma, Sucharita Gopal, Magaly Koch, Les Kaufman

“…The Kyoga basin fish fauna shares many non-cichlid species plus a spectacular, partially endemic radiation of haplochromine cichlids most similar to but still largely distinct from those in Lake Victoria. …”
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A Comprehensive Survey on AI in Counter-Terrorism and Cybersecurity: Challenges and Ethical Dimensions by Ioannis Syllaidopoulos, Klimis S. Ntalianis, Ioannis Salmon

“…This paper provides a comprehensive overview of AI methodologies, such as predictive analytics, Natural Language Processing (NLP), and machine learning architectures (e.g., Support Vector Machines – SVM and Long Short-Term Memory – LSTM), and optimization algorithms (e.g., Particle Swarm Optimization – PSO), assessing their effectiveness in security applications. …”
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Integrating deep learning in public health: a novel approach to PICC-RVT risk assessment by Yue Li, Yue Li, Shengxiao Nie, Lei Wang, Dongsheng Li, Shengmiao Ma, Ting Li, Hong Sun

“…Albumin levels, type of prefill sealant, and activated partial thromboplastin time are critical indicators for identifying and managing high-risk PICC-RVT patients.…”
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Serum TGF-β1 and CD14 Predicts Response to Anti-TNF-α Therapy in IBD by Stepan Coufal, Miloslav Kverka, Jakub Kreisinger, Tomas Thon, Filip Rob, Martin Kolar, Zuzana Reiss, Dagmar Schierova, Klara Kostovcikova, Radka Roubalova, Lukas Bajer, Zuzana Jackova, Martin Mihula, Pavel Drastich, Jana Tresnak Hercogova, Michaela Novakova, Martin Vasatko, Milan Lukas, Helena Tlaskalova-Hogenova, Zuzana Jiraskova Zakostelska

“…Tumor necrosis factor-alpha (TNF-α) agonists revolutionized therapeutic algorithms in inflammatory bowel disease (IBD) management. …”
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DYNAMICS OF MMP-8, SRANKL, AND OSTEOCALCIN CONCENTRATIONS IN THE ORAL FLUID OF PATIENTS WITH SECONDARY EDENTULISM AND AFTER PROSTHETIC TREATMENT by R.V. Tsynkush, O.V. Voznyi

“…A total of 60 individuals were examined: 20 healthy volunteers (Group 1), 20 patients with partial secondary edentulism without treatment (Group 2), and 20 individuals with secondary edentulism who underwent prosthetic treatment (Group 3). …”
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Energy-Efficient User Association Strategy for Hyperdense Heterogeneous Networking in the Fifth Generation Systems by Lei Li, Hao Jin, Zhipeng Yan, Changqing Yang, Yong Wu

“…We focus on the solution of the biconcave framework, and, by exploiting the biconcave structure, a novel iterative algorithm based on dual theory is proposed, where a partially optimal solution can be achieved. …”
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Geographic variation in secondary metabolites contents and their relationship with soil mineral elements in Pleuropterus multiflorum Thunb. from different regions by Yaling Yang, Siman Wang, Ruibin Bai, Feng Xiong, Yan Jin, Hanwei Liu, Ziyi Wang, Chengyuan Yang, Yi Yu, Apu Chowdhury, Chuanzhi Kang, Jian Yang, Lanping Guo

“…A total of 43 soil mineral elements in corresponding 60 soil samples were quantified by inductively coupled plasma mass spectrometry (ICP-MS). Orthogonal partial least squares-discriminant analysis (OPLS-DA), heatmap analysis, Pearson correlation analysis, and random forest (RF) regression were conducted based on the above quantitative data. …”
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Estimation of potato leaf area index based on spectral information and Haralick textures from UAV hyperspectral images by Jiejie Fan, Jiejie Fan, Yang Liu, Yang Liu, Yiguang Fan, Yihan Yao, Riqiang Chen, Mingbo Bian, Yanpeng Ma, Huifang Wang, Haikuan Feng, Haikuan Feng, Haikuan Feng

“…A model for LAI estimation in potato at multiple growth stages based on spectral and textural features screened by the successive projection algorithm (SPA) was constructed using partial least squares regression (PLSR), random forest regression (RFR) and gaussian process regression (GPR) machine learning methods. …”
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Genome assembly and characterization of a complex zfBED-NLR gene-containing disease resistance locus in Carolina Gold Select rice with Nanopore sequencing. by Andrew C Read, Matthew J Moscou, Aleksey V Zimin, Geo Pertea, Rachel S Meyer, Michael D Purugganan, Jan E Leach, Lindsay R Triplett, Steven L Salzberg, Adam J Bogdanove

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Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach by Wagh Swapnil, Sharma Ruchi

“…Furthermore, low-level optimization techniques like genetic algorithms as well as particle swarm optimization are used to fine tune the specific model parameters and to reduce the computational overhead for improving the detection efficacy still more. …”
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Detection of Melamine in Soybean Meal Using Near-Infrared Microscopy Imaging with Pure Component Spectra as the Evaluation Criteria by Zengling Yang, Lujia Han, Chengte Wang, Jing Li, Juan A. Fernández Pierna, Pierre Dardenne, Vincent Baeten

“…The results presented indicate that using the classical least squares (CLS) algorithm with the nonnegative least squares (NNLS) algorithm, without needing first to develop a calibration model, could identify soybean meal that is both uncontaminated and contaminated with melamine particles at as low a level as 50 mg kg−1.…”
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Housing Value Forecasting Based on Machine Learning Methods by Jingyi Mu, Fang Wu, Aihua Zhang

“…And these algorithms are compared according to the predicted results. …”
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A survey on PSO based meta-heuristic scheduling mechanism in cloud computing environment by Arabinda Pradhan, Sukant Kishoro Bisoy, Amardeep Das

“…Among various meta-heuristics algorithms, PSO is a famous metaheuristic technique to solved optimization issue. …”
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Non-destructive control of tablet forms of cefuroxime by near-infrared spectroscopy and digital colorometry methods by Amelin, Vasiliy G., Emelyanov, Oleg E.

“…The data set has been processed by principal component methods, hierarchical cluster analysis and partial least squares regression. The application of chemometric algorithms to determine the concentration of the active ingredient cefuroxime in the drug Zinnat has been considered. …”
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Monte Carlo Integration With Efficient Importance Sampling for Underwater Wireless Optical Communication Simulation by Ruqin Xiao, Pierre Combeau, Lilian Aveneau

“…However, these simulations are challenging due to the complexity of the physical mechanisms of light propagation in water, which involves numerous scattering events on the various particles constituting the propagation medium. Previous tools have primarily relied on the Prahl algorithm, based on Monte Carlo simulation, and are therefore difficult to improve. …”
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Development of a Low-Cost Sensor System for Accurate Soil Assessment and Biological Activity Profiling by Antonio Ruiz-Gonzalez, Harriet Kempson, Jim Haseloff

“…The algorithm could predict seed germination rates with high accuracy (RSMLE = 0.01, and R² = 0.99), enabling an objective and non-invasive study of the impact of multiple environmental parameters in soil quality. …”
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Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing by Fengxiao Li, Bin Tang, Mingfu Zhao, Xinyu Hu, Shenghui Shi, Mi Zhou

“…The turbidity interference caused by suspended particles in water seriously affects the accuracy of ultraviolet-visible spectroscopy in detecting water quality chemical oxygen demand. …”
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Quark masses and mixing in string-inspired models by Andrei Constantin, Cristofero S. Fraser-Taliente, Thomas R. Harvey, Lucas T. Y. Leung, Andre Lukas

“…Employing systematic and heuristic search strategies, such as genetic algorithms, we identify charge assignments and singlet VEVs that replicate the observed mass and mixing hierarchies in the quark sector, and subsequently refine the Yukawa matrix coefficients to accurately match the observed values for the Higgs VEV, the quark and charged lepton masses and the CKM matrix. …”
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Intelligent Recognition Method for Ferrography Wear Debris Images Using Improved Mask R-CNN Methods by Xiangwen Xiao, Weixuan Zhang, Qing Wang, Yuan Liu, Yishou Wang

“…This study proposed an intelligent recognition method for ferrography wear debris images, leveraging several improved Mask Region-based Convolutional Neural Network (Mask R-CNN) algorithms to quantitatively calculate both the number of debris particles and their coverage areas. …”
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