scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling by Shuo Wang, Yuanning Liu, Hao Zhang, Zhen Liu

“…Our approach can serve as an inspiration for future research on scRNA-Seq analysis methods based on GNNs, holding broad application prospects.…”
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A Synergistic Framework for Coupling Crop Growth, Radiative Transfer, and Machine Learning to Estimate Wheat Crop Traits in Pakistan by Rana Ahmad Faraz Ishaq, Guanhua Zhou, Aamir Ali, Syed Roshaan Ali Shah, Cheng Jiang, Zhongqi Ma, Kang Sun, Hongzhi Jiang

“…The integration of the Crop Growth Model (CGM), Radiative Transfer Model (RTM), and Machine Learning Algorithm (MLA) for estimating crop traits represents a cutting-edge area of research. …”
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Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects by Nandito Davy, Ammar El-Husseiny, Umair bin Waheed, Korhan Ayranci, Manzar Fawad, Mohamed Mahmoud, Nicholas B. Harris

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Integrated export instream coefficient model for accurate nonpoint source pollution estimation and management in the Yellow River Basin by Xueting Wang, Lei Wu, Yongkun Luo, Yimu Liu, Ruowen Wang

“…Empirical EC values were derived using genetic algorithm (GA) and Latin hypercube sampling, then improved EC and corrected EC were employed to estimate pollutant discharge and water inflow across land uses. …”
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Informatics-driven unsupervised learning of comorbidity clusters for COVID-19 reinfection risk: A finite mixture modeling approach by Grant B. Morgan, Andreas Stamatis, Chelsea C. Yager, Ali Boolani

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Day-Ahead Complementary Operation for a Wind-Hydro-Thermal System Considering Multi-Dimensional Uncertainty by Xiaoyu Shi, Rong Jia, Qiang Huang, Guohe Huang, Xuewen Lei, Jiangfeng Li, Bo Ming, Zeqian Zhao, Le Li

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Predicting breeding values in Murrah buffaloes using random regression models by ANAND JAIN, ASHISH RANJAN, I D GUPTA, H K SINGH

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Training size predictably improves machine learning-based epileptic seizure forecasting from wearables by Mustafa Halimeh, Michele Jackson, Tobias Loddenkemper, Christian Meisel

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The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study by Pranav Parekh, Richard Oyeleke, Tejas Vishwanath

“… BackgroundThus far, considerable research has been focused on classifying a lesion as benign or malignant. …”
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The association between the albumin to globulin ratio and thoracic spine bone mineral density in adolescents: NHANES 2011–2016 by Haoyu Yan, Jie Yang, Yancheng Dai, Yan Li, Peng Zhang, Liuyan Li

“…Threshold effects and non-linear relationships were assessed using a smoothed curve-fitting algorithm alongside threshold effects analysis. Furthermore, subgroup analyses and interaction tests were performed.ResultsThe study comprised a total of 3,000 participants who were all aged 20 years or younger. …”
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Care for Pediatric Patellofemoral Instability Prior to Orthopaedic Referral by Emily Qian, MS, Ally A. Yang, MD, Halle Freiman, MD, MS, Corinna Franklin, MD

“…Our study identified that there are upstream referral factors influencing patellofemoral instability outcomes. Future research may include methods to improve concordance with treatment guidelines. …”
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Acceleration Data Reveal Behavioural Responses to Hunting Risk in Scandinavian Brown Bears by Jeanne Clermont, Andreas Zedrosser, Ludovick Brown, Frank Rosell, Gunn Elisabeth Sydtveit Rekvik, Jonas Kindberg, Fanie Pelletier

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Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

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Analysis of risk factors of acute respiratory failure after radical resection of esophageal cancer by two methods by LEI Xiuwen, ZHU Xiaolei, TIAN Long

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Sistema de servocontrol visual empleando redes neuronales y filtros en el dominio de CIELAB//Visual servo-control system using neural networks and filters based on CIELAB by Germán Buitrago Salazar, Olga Ramos Sandoval

“…The inputs of neural network correspond to the information obtained from the images captured by the Kinect, using a filter that discriminates the position of the elements in the CIELAB (Commission Internationale de l'Eclairage L*a*bcomponents) color space. The result of this research showed that the estimated distance with the network has an errorless than the algorithm proposed in other works. …”
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Enhancing Heart Disease Diagnosis Using ECG Signal Reconstruction and Deep Transfer Learning Classification with Optional SVM Integration by Mostafa Ahmad, Ali Ahmed, Hasan Hashim, Mohammed Farsi, Nader Mahmoud

“…The proposed ECG segmentation algorithm introduces a distinct and original approach compared to prior research by integrating adaptive preprocessing, histogram-based lead separation, and robust point-tracking techniques into a unified framework. …”
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Assessing the Impact of Social Media Usage and Performance of the Selected Small and Medium Businesses in Ntungamo District. by Nyamwija, Bonitah

“…The study was guided by the following objectives; to evaluate whether small business‟ owner-managers” in the Ntungamo district find any importance of social media in their businesses, to determine the performance of small businesses in the Ntungamo district after adaptation of social media compared to the one without social media and to find the challenges encountered when small business owner-managers in Ntungamo district use social media in their business in Ntungamo district The study adopted a descriptive research design comprising of both qualitative and quantitative approaches. …”
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Components of Speaker’s Rhetoric in Terms of Interpretation of the Text of Public Speaking (based on the Speech of W. Churchill “Their Finest Hour”) by T. N. Zubakina

“…It is argued that the text of the speech, according to the theory of the “vertical dimension” of the hermeneutic circle, representing the author’s version of the event, can be interpreted by the reader / listener / researcher. An algorithm for the interpretation analysis of the Prime Minister’s speech is proposed, which is defined by the content of the article “The Scaffolding of Rhetoric”. …”
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A High Efficient and Real Time Data Aggregation Scheme for WSNs by Tao Du, Zhe Qu, Qingbei Guo, Shouning Qu

“…Data aggregation is an important method of improving transmitting efficiency of WSNs, but existing researches have some disadvantages as follows: several periods delay will be generated when filtering messages; the reduplicated messages filtering ratio is low; complex calculations need to be executed; and extra hardware should be added to obtain high performance. …”
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Cascaded Multitype Interferences Suppression Method Using Sparse Representation and Array Processing for GNSS Receiver by Qiang Guo, Liangang Qi

“…Then, the minimum power distortionless response (MPDR) beamformer is employed in the second stage to suppress the residuary interferences (such as Gaussian noise interferences). Compared with existing algorithms, the proposed method can not only effectively suppress the interference arriving from the same direction with the desired signal and increase the Degree of Freedom (DoF) of the array antenna, but also introduce no distortion into the navigation signal. …”
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