eDNAjoint: An R package for interpreting paired or semi‐paired environmental DNA and traditional survey data in a Bayesian framework by Abigail G. Keller, Ryan P. Kelly

“…The model can be used to estimate parameters like the probability of a false positive eDNA detection and mean catch rate at a site, and the package allows access to multiple model variations and Bayesian prior customization. Additional functionality can be used for model selection, summarising posteriors and comparing the relative sensitivities of the two survey methods. …”
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Exploration of the health needs of patients with poorly controlled type 2 diabetes using a user-centred co-production approach in the area of mHealth: an exploratory sequential mix... by Li Cheng, Qinqin Xie, Xiling Hu, Yarui Wang, Junsheng Peng

“…With the principles of co-production, this study aims to address this research gap by exploring the health needs of Chinese patients with poorly controlled T2DM.Methods and analysis This study uses a three-phase, exploratory sequential mixed-method design. …”
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The impact of public lighting improvement on crimes and incivilities reduction in Chile by Pablo Cadena-Urzúa, Javier Guardiola, Francisco Montes

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UAV Path Planners in Complex Environments: A Multi-Dimensional Perturbation Based on Artificial Bee Colony by Xuzhao Chai, Guanhao Zhou, Haoyu Wang, Ping Liu, Zhongyun Liu, Chao Li, Li Yan

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Can we really use design-free hydroacoustic data from fishing vessels for assessing abundance and distribution of marine species? A proof of concept analysis on Antarctic krill by J.A. Canseco, E.J. Niklitschek, G. Skaret

“…Other possible approach to minimize bias would be integrating hydroacoustic information from multiple vessels.…”
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Uncovering Diagnostic Correlations Between Traditional Chinese and Western Medicine Using Instrumental Variable Models in Cardiometabolic Patients: Evidence from 1.2 Million Record... by Zhou J, Zhou S, Chen H, Chen X, Zou G, Gao Y, Jing S, Bishai DM, Li J, Zhong A, Liu Z, Liu A

“…It introduces a new statistical approach to understanding the correlation between these two diagnostic systems, offering insights into integrated medicine for secondary prevention.Keywords: cardiometabolic diseases, western medicine, TCM syndromes, instrumental variable methods, errors in variable…”
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Calculation of Transmission Line Trip Probabilities under Forest Fire Condition by Hui LIU, Tao YANG, Jikeng LIN, Jingjing WANG, Bo YAN, Xiao LIU

“…Firstly some factors are introduced such as flame temperature, vegetation type, fire distance and precipitation, and the integrated impact of these factors on the line tripping is analyzed; then the improved cellular automata is used to predict the spread process of forest fires, and the accurate probability variation of line tripping caused by forest fire is thus obtained according to the spread situation. …”
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CPO-VMD Combined With Multiscale Permutation Entropy for Noise Reduction in GNSS Vertical Time Series in Mining Areas by Xu Yang, Xinxin Yao, Xinjian Fang, Xuexiang Yu, Yi Wu, Shicheng Xie

“…In order to effectively filter out the noise components in the deformation monitoring data, this paper proposes a time series noise reduction method (CPO-VMD-MPE) that integrates the crested porcupine optimizer (CPO), the variational modal decomposition (VMD), and the multiscale permutation entropy (MPE). …”
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Land use uncertainty in transportation forecast by Hana Sevcikova, Brice Nichols

“…Altogether, this finding adds to a line of work demonstrating the policy value of incorporating uncertainty in integrated models and provides a method for assessing these variations in a systematic way.…”
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An Improved SOGI-Higher-Order Sliding Mode Observer-Based Induction Motor Speed Estimation by Enyam Kobena Badu, Effah Francis Boafo, Hammond Desmond

“…The robustness of the proposed speed estimation method is verified through simulations conducted on MATLAB/Simulink R2024a developed by MathWorks, demonstrating its capability to effectively track the motor’s actual speed even under varying load torque conditions, parameter variations and additional sensor noise. …”
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Optimization of PID Controllers Using Groupers and Moray Eels Optimization with Dual-Stream Multi-Dependency Graph Neural Networks for Enhanced Dynamic Performance by Vaishali H. Kamble, Manisha Dale, R. B. Dhumale, Aziz Nanthaamornphong

“…Traditional proportional–integral–derivative (PID) controllers are often utilized in industrial control applications due to their simplicity and ease of implementation. …”
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CLIL PRACTICES IN TOMSK POLYTECHNIC UNIVERSITY: SUCCESSES AND FAILURES by T. V. Sidorenko, S. V. Rybushkina, Ya. V. Rosanova

“…Content and Language Integrated Learning (CLIL) has recently been applied into education system, but a range of supporters is rapidly increasing, covering diverse countries. …”
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Fractal–Fractional Synergy in Geo-Energy Systems: A Multiscale Framework for Stress Field Characterization and Fracture Network Evolution Modeling by Qiqiang Ren, Tianhao Gao, Rongtao Jiang, Jin Wang, Mengping Li, Jianwei Feng, He Du

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A hybrid deep learning-based approach for optimal genotype by environment selection by Zahra Khalilzadeh, Motahareh Kashanian, Saeed Khaki, Lizhi Wang

“…Genotype-environment interactions introduce large variations in crop-climate responses, and are hard to factor in to breeding programs. …”
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Maximizing photovoltaic thermal system through computational fluid dynamics-driven multi-factor parametric optimization: A Taguchi-grey relational analysis method to enhancing elec... by Natnale Sitotaw Asefa, Kiran Shahapurkar, Tilahun Nigussie, Abdulkadir Aman Hassen, Manzoore Elahi M. Soudagar, Yasser Fouad, Irfan Ali, Sagar Shelare, Shubham Sharma, V.K. Bupesh Raja, Abinash Mahapatro, Sarabjit Singh, Abhinav Kumar, Ehab El Sayed Massoud, Jasmina Lozanovic

“…This study presents a computational fluid dynamics (CFD)-based grey relational analysis (GRA) using the Taguchi method for the parametric optimisation of a photovoltaic thermal (PVT) system. …”
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Global and single-nucleotide resolution detection of 7-methylguanosine in RNA by Silvia D’Ambrosi, Raquel García-Vílchez, Darek Kedra, Patrice Vitali, Nuria Macias-Cámara, Laura Bárcena, Monika Gonzalez-Lopez, Ana M. Aransay, Sabine Dietmann, Antonio Hurtado, Sandra Blanco

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Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm by Abdelouaheb Boukhalfa, Yassine Bensafia, Khatir Khettab

“…Among the proposed designs, the integration of FAPID proves to be the most effective in achieving a balance between responsiveness and stability, exhibiting exceptional robustness and adaptability to variations in DC motor and environmental conditions. …”
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Grid connected and standalone renewable source fed UPQC: a hybrid control technique for power quality enhancement by Koganti Srilakshmi, Krishnaveni Kondreddi, Alapati Ramadevi, R Muniraj, Ramprasad Vangalapudi

“…To demonstrate its effectiveness, the proposed system is compared to industry-standard controllers such as Sliding Mode Controllers (SMC) and Proportional Integral Controllers (PIC). While the methodology reduces THD to 2.40%, 2.23%, and 2.44%, it is slightly less effective than some existing methods highlighted in the literature.…”
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A Trigonometric Variant of Kaneko–Tsumura <i>ψ</i>-Values by Ende Pan, Xin Lin, Ce Xu, Jianqiang Zhao

“…Many variations of the multiple zeta values have been found to play important roles in different branches of mathematics and theoretical physics in recent years, such as the cyclotomic/color version, which appears prominently in the computation of Feynman integrals. …”
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Investigation of the Thermo-Mechanical Modeling of the Manufacturing of Large-Scale Wire Arc Additive Manufacturing Components with an Outlook Towards Industrial Applications by Tim Fritschle, Moritz Kaess, Stefan Weihe, Martin Werz

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