Algorithms for Solving the Equilibrium Composition Model of Arc Plasma by Zhongyuan Chi, Yuzhang Ji, Ningning Liu, Tianchi Jiang, Xin Liu, Weijun Zhang

“…This finding serves to substantiate the accuracy and feasibility of the method proposed in this paper.…”
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Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System by Imane Ait Ayad, Elmostafa Elwarraki, Mohamed Baghdadi

“…The established ANN-P&O approach is validated in Matlab/Simulink and compared to the conventional P&O algorithm under various scenarios: (i) irradiance variations, (ii) temperature variations, and (iii) load variations.…”
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MULTI-OBJECTIVE OPTIMIZATION OF MATERIAL DISTRIBUTION FOR FUNCTIONALLY GRADE PLATES WITH CUTOUTS BASED ON XIGA by WANG Chao, LIU Tao, GU JiMing, XIE NengGang

“…To solve the multi-objective optimization problem of functionally graded plates with cutouts,a method integrating extended isogeometric analysis（ XIGA） and material distribution variation is proposed. …”
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Modeling seasonal detection patterns for burrowing owl surveys by Quresh S. Latif, Kathleen D. Fleming, Cameron Barrows, John T. Rotenberry

“…Occupancy models proved useful for integrating data from multiple methods to analyze distributional patterns while accounting for variation in detectability. © 2012 The Wildlife Society.…”
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Dissecting the genetic architecture of yield-related traits by QTL mapping in maize by Hao Zhang, Hao Zhang, Ting Li, Zhenyu Zhang, Jie Wang, Haoxiang Yang, Jiachen Liu, Wanchao Zhu, Wanchao Zhu, Jiquan Xue, Jiquan Xue, Shutu Xu, Shutu Xu

“…Key candidate genes were identified through the integration of RNA-seq data, gene-based association analysis and classic yield-related genes network dataset.ResultsGreater phenotypic variation was observed in RIL population than that in the IB1 and IB2 populations, while similar phenotype variations between IB1 and IB2 populations. …”
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Evaluating polygenic risk score prediction performance for Alzheimer's disease in a population-based Hispanic cohort using single- and multi-ancestry modelsResearch in context by Yuexuan Xu, Min Qiao, Tamil I. Gunasekaran, Yian Gu, Dolly Reyes-Dumeyer, Angel Piriz, Danurys Sanchez, Belisa Soriano, Yahaira Franco, Zoraida Dominguez Coronado, Patricia Recio, Diones Rivera Mejia, Martin Medrano, Rafael A. Lantigua, Lawrence Honig, Jennifer J. Manly, Adam M. Brickman, Badri N. Vardarajan, Richard Mayeux

“…The GWAS-focused approach constructs PRS based on multi-ancestry GWAS, while the method-focused approach uses novel multi-ancestry PRS methods, integrating GWAS summary statistics across ancestries. …”
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Dual Loop FOPI Controller-Based Equilibrium Optimizer Tuning Approach for Three-Phase Interleaved Boost Converter: PEMFC HEVs by Salah Okba, Ramzi Saadi, Mohamed Yacine Hammoudi, Yassine Himeur, Abir Betka, Shadi Atalla, Wathiq Mansoor

“…Practical validation involves the implementation of the proposed controller on a laboratory prototype-a 1.2KW three-phase interleaved boost converter-controlled by a dSPACE 1104 accusation card. The method exhibits outstanding practical results across diverse tests, including load variations, steady and transient states, and OCF modes. …”
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Daily soil moisture prediction during winter wheat growth season using an SCSSA-CNN-BiLSTM model by CUI Song, WU Jin, ZHANG Naifeng, LIU Meng, HU Yongsheng, HE Yanan, GU Yue, LONG Xinya, WANG Zhenlong

“…This paper proposes a new method to predict soil moisture changes.【Method】The hybrid deep learning model, SCSSA-CNN-BiLSTM, was integrated with Sine Cosine Cauchy Sparrow Search Algorithm (SCSSA) for hyperparameter optimization. …”
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Single-Frame Infrared Target Detection Based on Fast Content-Related Modeling by Zipeng Zhang, Xidong Zhao, Wenzheng Wang, Yuqi Han, Chenwei Deng, Zhuokai Li, Linbo Tang

“…However, this task faces two challenges: 1) the diversity of background scenes leads to complexity of infrared content, and 2) the small size of targets results in limited available information. Most of methods mainly concentrate on modeling global features, overlooking the variations in local features due to complex scenes. …”
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Age-related differences in Rostral-Middle locus coeruleus microstructure: A critical role in cognitive decline revealed by magnetic resonance relaxometry by Jonghyun Bae, Zhaoyuan Gong, Caio Mazucanti, Murat Bilgel, John P. Laporte, Mary E. Faulkner, Alex Guo, Christopher M. Bergeron, Josephine M. Egan, Susan M. Resnick, Christopher E. Ramsden, Mustapha Bouhrara

“…Despite its importance, in-vivo investigations of age-related LC degeneration and association with cognitive decline have been limited. Method We employed magnetic resonance relaxometry, namely the Bayesian Monte-Carlo analysis of multicomponent driven equilibrium single pulse observation of T1 and T2 (BMC-mcDESPOT) MRI method, to estimate microstructural integrity represented by longitudinal (R1) and transverse (R2) relaxation rates, as well as Myelin Water Fraction (MWF) in the LC of a diverse cohort of 120 cognitively unimpaired individuals aged 22 to 94 years. …”
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Generation Expansion Models including Technical Constraints and Demand Uncertainty by P. Deossa, K. De Vos, G. Deconinck, J. Espinosa

“…The model is based on a discretization of the load duration curve and explicitly considers that power plant ramping capabilities must meet demand variations. A model predictive control method is used to improve the long-term planning decisions while considering the uncertainty of demand projections. …”
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Practical and Compact Guided Mode Resonance Sensing System for Highly Sensitive Real-Time Detection by Yen-Song Chen, Devesh Barshilia, Chia-Jui Hsieh, Hsun-Yuan Li, Wen-Hsin Hsieh, Guo-En Chang

“…Therefore, this study enhances the practicality of GMR sensors by introducing an optimized detection system based on the Jones matrix method. In addition, finite element method simulations were performed to optimize the GMR sensor structure parameter. …”
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UAV-FAENet: Frequency-Aware and Attention-Enhanced Network for Remote Sensing Semantic Segmentation of UAV Imagery by Dongbo Zhou, Huan Wang, Shiyan Pang, Di Chen, Huang Yao, Jie Yu

“…However, due to large variations in object scales and complex boundaries of ground objects, existing methods still face significant challenges in handling small targets and objects with intricate edges. …”
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Energy-Optimal Trajectory Planning for Planar Underactuated RR Robot Manipulators in the Absence of Gravity by John Gregory, Alberto Olivares, Ernesto Staffetti

“…We solve the resulting calculus of variations problem using a numerical approach based on the Euler-Lagrange necessary condition in integral form in which time is discretized and admissible variations for each variable are approximated using a linear combination of piecewise continuous basis functions of time. …”
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Interlaboratory Comparison of Branched GDGT Temperature and pH Proxies Using Soils and Lipid Extracts by Cindy De Jonge, Francien Peterse, Klaas G. J. Nierop, Thomas M. Blattmann, Marcelo Alexandre, Salome Ansanay‐Alex, Thomas Austin, Mathieu Babin, Edouard Bard, Thorsten Bauersachs, Jerome Blewett, Brenna Boehman, Isla S. Castañeda, Junhui Chen, Martina L. G. Conti, Sergio Contreras, Julia Cordes, Nina Davtian, Bart vanDongen, Bella Duncan, Felix J. Elling, Valier Galy, Shaopeng Gao, Jens Hefter, Kai‐Uwe Hinrichs, Mitchell R. Helling, Mariska Hoorweg, Ellen Hopmans, Juzhi Hou, Yongsong Huang, Arnaud Huguet, Guodong Jia, Cornelia Karger, Brendan J. Keely, Stephanie Kusch, Hui Li, Jie Liang, Julius S. Lipp, Weiguo Liu, Hongxuan Lu, Kai Mangelsdorf, Hayley Manners, Alfredo Martinez Garcia, Guillemette Menot, Gesine Mollenhauer, B. David A. Naafs, Sebastian Naeher, Lauren K. O'Connor, Ethan M. Pearce, Ann Pearson, Zhiguo Rao, Marta Rodrigo‐Gámiz, Chris Rosendahl, Frauke Rostek, Rui Bao, Prasanta Sanyal, Florence Schubotz, Wesley Scott, Rahul Sen, Appy Sluijs, Rienk Smittenberg, Ioana Stefanescu, Jia Sun, Paul Sutton, Jess Tierney, Eduardo Tejos, Joan Villanueva, Huanye Wang, Josef Werne, Masanobu Yamamoto, Huan Yang, Aifeng Zhou

“…Correct identification and integration of 5‐ and 6‐methyl brGDGTs is a prerequisite for the robust calculation of proxy values, but this can be challenging as indicated by the large inter‐interlaboratory variation. …”
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Power Indices in the Context of Social Learning Behaviour in Social Networks by Ruili Shi, Chunxiang Guo, Xin Gu

“…This paper puts forward the concept of integrated power, synthetically measures the voters’ ability to influence the results of decision-making by influencing others through social learning, considering the interactions between decision-makers in social networks, and offers a method for measuring integrated power. …”
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DSF2-NAS: Dual-Stage Feature Fusion via Network Architecture Search for Classification of Multimodal Remote Sensing Images by Shiyang Feng, Zhaowei Li, Bo Zhang, Tao Chen, Bin Wang

“…However, due to the diverse spatial resolutions, complex channel dimensions, and drastic foreground scale variations of multimodal RSIs, challenges arise when employing NAS methods for precise classification: 1) Due to the complementary and redundant nature between different modalities in RSIs, determining the features within each modality for fusion becomes quite challenging; 2) the design of fusion operators does not take into account the spatial positions and channel relationships between different modalities of RSIs, making it difficult for the fused features to match downstream tasks. …”
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LIU-NET: lightweight Inception U-Net for efficient brain tumor segmentation from multimodal 3D MRI images by Gul e Sehar Shahid, Jameel Ahmad, Chaudary Atif Raza Warraich, Amel Ksibi, Shrooq Alsenan, Arfan Arshad, Rehan Raza, Zaffar Ahmed Shaikh

“…Segmenting brain tumors is a critical task in medical imaging that relies on advanced deep-learning methods. However, effectively handling complex tumor regions requires more comprehensive and advanced strategies to overcome challenges such as computational complexity, the gradient vanishing problem, and variations in size and visual impact. …”
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High-performance ratiometric optical oxygen sensor fabricated via 3Dprinted silicone for biomedical applications by Rispandi, Cheng-Shane Chu, Abdulfatah Abdu Yusuf, Muhammad Imam Ammarullah

“…This research introduces an innovative fabrication method using silicone-based 3D printing technology to develop such sensors. …”
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A system dynamics model for sustainable corporate strategic planning by Mauricio Becerra-Fernandez, Liliana Elizabeth Ruiz-Acosta, David Andres Camargo-Mayorga, Mario Andrés Muñoz

“…Research method The model estimates the social, environmental, and economic performance through time based on the System Dynamics methodology. …”
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