Multiple analytical perspectives of mitochondrial genes in the context of preeclampsia: potential diagnostic markers by Can Li, Can Li, Fang Liu, Chao Li, Xiangzhong Zhao, Qiulan Lv, Aiping Jiang, Shuping Zhao

“…CIBERSORT highlighted immune cell composition variations between PE and Control groups. …”
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Noise properties of preamplifier to be used with LN₂-cooled HgCdTe photodetector by Dmitry V. Kazantsev, Elena A. Kazantseva

“…The spectra of the received data were calculated using the fast Fourier transform algorithm with subsequent averaging of the square of the amplitude for all spectral components.Results. …”
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The unresolved struggle of 16S rRNA amplicon sequencing: a benchmarking analysis of clustering and denoising methods by Mohamed Fares, Engy K. Tharwat, Ilse Cleenwerck, Pieter Monsieurs, Rob Van Houdt, Peter Vandamme, Mohamed El-Hadidi, Mohamed Mysara

“…The utilization of the most complex mock community and the benchmarking comparison presented here offer a framework for the comparison between OTU/ASV algorithms and an objective method for the assessment of new tools and algorithms.…”
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Computer Program for Primer Design for Loop-Mediated Isothermal Amplification (LAMP) by L. U. Akhmetzianov

“…A modification of the direct sampling method using a stencil approach was proposed, taking into account the GC composition and annealing temperature of primers depending on their structure. …”
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Machine learning-driven design of rare metal doped niobium alloys with enhanced strength and ductility by Zhenqiang Xiong, Zhaokun Song, Jianwei Li, Heran Wang, Xiaoxin Zhang, Bin Liang, Dong Wang

“…The model was integrated with the Non-dominated Sorting Genetic Algorithm (NSGA-III) to design alloys with superior comprehensive properties. …”
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Lightweight deep neural network for contour detection and extraction of wheat spikes in complex field environments by Xin Xu, Haiyang Zhang, Jiangchuan Lu, Ziyi Guo, Juanjuan Zhang, Jibo Yue, Hongbo Qiao, Xinming Ma

“…Abstract Background Spikelet number, a core phenotypic parameter for wheat yield composition, requires precise estimation through accurate spike contour extraction and differentiation between grain surfaces and spikelet surfaces. …”
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scFocus: Detecting branching probabilities in single-cell data with SAC by Chunlin Chen, Zeyu Fu, Jiajia Yang, Huaqing Chen, Jiabao Huang, Shitian Qin, Chuhuai Wang, Xiaoqian Hu

“…However, it is challenging to obtain precise information on the composition of gene sets corresponding to each lineage branch in complex biological systems. …”
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Canonical correlation analysis for multi-omics: Application to cross-cohort analysis. by Min-Zhi Jiang, François Aguet, Kristin Ardlie, Jiawen Chen, Elaine Cornell, Dan Cruz, Peter Durda, Stacey B Gabriel, Robert E Gerszten, Xiuqing Guo, Craig W Johnson, Silva Kasela, Leslie A Lange, Tuuli Lappalainen, Yongmei Liu, Alex P Reiner, Josh Smith, Tamar Sofer, Kent D Taylor, Russell P Tracy, David J VanDenBerg, James G Wilson, Stephen S Rich, Jerome I Rotter, Michael I Love, Laura M Raffield, Yun Li, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Analysis Working Group

“…To tackle challenges encountered when applying SMCCA to MESA and JHS, our adaptations include the incorporation of the Gram-Schmidt (GS) algorithm with SMCCA to improve orthogonality among CVs, and the development of Sparse Supervised Multiple CCA (SSMCCA) to allow supervised integration analysis for more than two assays. …”
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Unveiling patient profiles associated with elevated Lp(a) through an unbiased clustering analysis by Miguel Saraiva, Jonatas Garcez, Beatriz Tavares da Silva, Inês Poças Ferreira, José Carlos Oliveira, Isabel Palma

“…Lp(a) levels were deliberately excluded from the algorithm, to ensure an unbiased cluster formation.ResultsThe analysis revealed two distinct clusters based on Lp(a) levels. …”
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Therapy and rehabilitation of women with diabetic adhesive capsulitis by Iryna Zharova, Yevhen Orlenko

“…To achieve a more pronounced rehabilitation effect, the development of a therapy and rehabilitation program was carried out according to the following algorithm for providing rehabilitation services: assessment of the initial morphofunctional state, activity and participation; determination of the principles and objectives of the program; development and implementation of the program; evaluation of effectiveness. …”
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Utilização de redes neurais artificiais na classificação de níveis de degradação em pastagens Use of artificial neural networks in the classification of degradation levels of pastu... by César S. Chagas, Carlos A. O. Vieira, Elpídio I. Fernandes Filho, Waldir de C. Júnior

“…In this study, three different levels of pasture degradation have been identified (moderate, strong and very strong) and an image composition of 3 bands was tested (covering the visible and the near infra-red) with 15 m of spatial resolution. …”
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The problem of recurrent cystitis from the perspective of a gynecologist. Possible ways to overcome by I. V. Ignatko, K. R. Bakhtiyarov, A. A. Churganova, V. M. Anokhina

“…A number of antibacterial drugs used for the treatment of cystitis can have a negative effect on the quantitative composition of lactobacilli, closing the vicious circle of recurrence of the disease. …”
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Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches by Zijuan Ding, Ke Liu, Sabine Grunwald Ph.D., Pete Smith, Philippe Ciais, Bin Wang, Alexandre M.J.‐C. Wadoux, Carla Ferreira, Senani Karunaratne, Narasinha Shurpali, Xiaogang Yin, Dale Roberts, Oli Madgett, Sam Duncan, Meixue Zhou, Zhangyong Liu, Matthew Tom Harrison

“…Although DL often outperforms classical ML, there is no single best AI algorithm. By incorporating simulated outputs from biogeochemical model as additional training data for AI, causal relationships in SOC turnover can be incorporated into empirical modelling, while maintaining predictive accuracy. …”
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Coordinated UAV-UGV trajectory planning based on load balancing in IoT data collection by Yuchao ZHU, Shaowei WANG

“…To improve the efficiency of large-scale Internet of things (IoT) data collection, a coordinated trajectory planning algorithm for multiple aerial and ground vehicles based on load balancing region partitioning was proposed, where unmanned aerial vehicles (UAVs) acting as aerial base stations were dispatched to gather data from IoT devices and unmanned ground vehicles (UGVs) acting as mobile battery swap stations were used to compensate for the shortage of UAV’s energy.Aiming at shortening the mission completion time, the optimization task was to minimize the longest mission time among a fleet of UAV-UGVs, which was formulated as a variant of min-max multi-depot vehicle routing problem and solved from the load-balancing perspective.Specifically, the IoT devices were assigned to the UAV-UGVs’ service zones by a load-balancing region partition algorithm, based on which the trajectory planning problem of multiple UAV and UGV was reduced to several independent route planning problems for each UAV-UGV pair.Then, a cooperative trajectory planning strategy was developed to optimize the route in each service zone.Numerical results validate that the proposed algorithm outperforms the compared algorithms in terms of mission completion time and balancing degree.…”
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An energy self-sustaining scheduling scheme for UAV delivery networks by XU Jia, YUAN Ming, WU Sixu, TAN Xin, LUO Jian

“…An approximate UAV delivery scheduling algorithm (UCSA) was proposed to solve the problem. …”
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Trajectory of Fifths in Tonal Mode Detection by Tomasz Lukaszewicz, Dariusz Kania

“…The article introduces a novel algorithm designed to distinguish between the major and minor tonal modes in musical compositions. …”
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Incentive-Based Platoon Formation: Optimizing the Personal Benefit for Drivers by Julian Heinovski, Doganalp Ergenc, Kirsten Thommes, Falko Dressler

“…Platooning or cooperative adaptive cruise control (CACC) has been investigated for decades, but debate about its lasting impact is still ongoing. …”
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High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network by Thanh Han Trong, Hinh Nguyen Van, Luu Vu Dang

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Priority-aware task offloading for LEO satellite edge computing network: a multi-agent deep reinforcement learning-based approach by Juan Chen, Jie Zhong, Zongling Wu, Di Tian, Yujie Chen

“…The MA2C algorithm employs two cooperative agents to optimize scheduling strategies: one agent is responsible for prioritizing tasks, while the other focuses on task offloading decisions. …”
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Optimization of Operation Strategy of Multi-Islanding Microgrid Based on Double-Layer Objective by Zheng Shi, Lu Yan, Yingying Hu, Yao Wang, Wenping Qin, Yan Liang, Haibo Zhao, Yongming Jing, Jiaojiao Deng, Zhi Zhang

“…Simulation results show that compared with the traditional PSO algorithm, the iterative times of the GWO algorithm proposed in this paper are reduced by 35.62%, and the calculation time is shortened by 34.34%. …”
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