Classification of Vaginal Cleanliness Grades through Surface‐Enhanced Raman Spectral Analysis via The Deep‐Learning Variational Autoencoder–Long Short‐Term Memory Model by Jia‐Wei Tang, Xin‐Ru Wen, Hui‐Min Chen, Jie Chen, Kun‐Hui Hong, Quan Yuan, Muhammad Usman, Liang Wang

“…The performance of various machine learning (ML) algorithms is assessed using multiple evaluation metrics. Finally, the reliability of the optimal model is tested using blind test data (N = 10/group for each cleanliness level). …”
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Better Pseudo-Labeling for Semi-Supervised Domain Generalization in Medical Magnetic Resonance Image Segmentation by Liangqing Hu, Zuqiang Meng, Chaohong Tan, Yumin Zhou

“…To evaluate the effectiveness of our method, we conduct experiments on six different MRI segmentation datasets. …”
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Bifunctional Catalytic Performance of Zn/ZSM-5 in the Aromatization of LPG and the Conversion of Pyrolytic Gases from Recycled Polypropylene by Diego Barzallo, Miguel A. Reinoso, Gabriela Miranda, Trino Romero, Mario Franco, Paul Palmay

“…Under optimized conditions, the best results were obtained with 2% Zn/ZSM-5, which generated a higher production of BTX (benzene, toluene, and xylene) isomers, which are major components of gasoline. …”
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Truth be told: a multimodal ensemble approach for enhanced fake news detection in textual and visual media by Rami Mohawesh, Islam Obaidat, Ahmed Abdallah AlQarni, Ali Abdulaziz Aljubailan, Moy’awiah A. Al-Shannaq, Haythem Bany Salameh, Ali Al-Yousef, Ahmad A. Saifan, Suboh M. Alkhushayni, Sumbal Maqsood

“…The primary goal of FND is to discern and evaluate the veracity of pivotal claims in news articles, thereby determining the credibility of the presented news. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…After integrating decomposition, use of entropy, algorithm optimization, and error correction models, eleven comparative experiments were established to evaluate the effectiveness of each optimization method. …”
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Genetic algorithm-enhanced linear quadratic control for balancing bicopter system with non-zero set point by Esa Apriaskar, Dhidik Prastiyanto, Aryo Baskoro Utomo, Akhyar Abdillah Manaf, Ilya Amelia, Dimas Alfarizky Ilham, Viyola Lokahita Bilqis, Chonlatee Photong

“…The control system was evaluated based on the stability of the transient response and the generated control signal. …”
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From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning by A. Burzyńska

“…The model's efficacy was evaluated through its application to both large and small, differently distributed data sets. …”
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Graph partition based mapping algorithm on multiprocessors for streaming applications by Qi TANG, Shang-feng WU, Jun-wu SHI, Ji-bo WEI

“…To take advantage of multiprocessor platform,it is a necessity to map tasks of the application properly onto different processors to exploit the concurrency in the application and thus meet the stringent timing requirements.Parallelism graph was proposed to quantify and model the concurrency among tasks of the application.An algorithm was also proposed to construct the parallelism graph based on the self-timed schedule and transform the mapping problem to a graph partitioning problem.The graph partitioning problem as a pure 0-1 integer linear programming model was further formulated and the ILP solver to find the optimal result.A lot of randomly generated synchronous dataflow graphs and a set of practical applications were used to evaluate the performance of the proposed method.The experimental results demonstrate that the proposed method outperforms available algorithms.…”
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Graph partition based mapping algorithm on multiprocessors for streaming applications by Qi TANG, Shang-feng WU, Jun-wu SHI, Ji-bo WEI

“…To take advantage of multiprocessor platform,it is a necessity to map tasks of the application properly onto different processors to exploit the concurrency in the application and thus meet the stringent timing requirements.Parallelism graph was proposed to quantify and model the concurrency among tasks of the application.An algorithm was also proposed to construct the parallelism graph based on the self-timed schedule and transform the mapping problem to a graph partitioning problem.The graph partitioning problem as a pure 0-1 integer linear programming model was further formulated and the ILP solver to find the optimal result.A lot of randomly generated synchronous dataflow graphs and a set of practical applications were used to evaluate the performance of the proposed method.The experimental results demonstrate that the proposed method outperforms available algorithms.…”
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Syntactic Analysis of Spatial Structure Characteristics of Traditional Villages Along the Yellow River in Western Shanxi Province by Chenge GAO, Fang WANG

“…This research explores the intrinsic connections between the spatial form and structure of traditional village settlements and between relevant cognitive and behavioral patterns, and explains the generation and evolution of landscape patterns, in an effort to enhance the understanding of the integration and centripetal degree of local and overall spatial functions within the village domain, the perceptibility of the spatial system, the consistency of behavioral experiences among residents and visitors, and the potential of local spaces to contribute to the overall spatial construction.MethodsThis research uses cluster sampling to select 33 national-level traditional villages in the four counties along the Yellow River in Lyuliang City, Shanxi Province, located on the eastern side of the Jin-Shaan Gorge in the middle reaches of the Yellow River. …”
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Strengths and limitations of period estimation methods for circadian data. by Tomasz Zielinski, Anne M Moore, Eilidh Troup, Karen J Halliday, Andrew J Millar

“…Here we review those six techniques, explain the principles behind each algorithm and evaluate their performance. In order to quantify the methods' accuracy, we examine the algorithms against artificial mathematical test signals and model-generated mRNA data. …”
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Assessing PET performance, image quality, and attenuation correction in the presence of RF coils within a 9.4 T MRI for preclinical simultaneous imaging by Claudia Kuntner, Joachim Friske, Andrea Stessl, Martin Haas, Lara Luna Breyer, Thomas Wanek, Marcus Hacker, Thomas Helbich, Ivo Rausch

“…Procedures The performance of the PET scanner was assessed according to the NEMA NU 4-2008 standards, focusing on sensitivity, spatial resolution, noise-equivalent count (NEC) rate, and image quality metrics (homogeneity, spillover ratios, and recovery coefficients). These evaluations were conducted with three different RF coils within the PET FoV: a mouse-dedicated coil, a rat-dedicated coil (not optimized for PET), and a big-rat-dedicated coil. …”
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LLM in the Loop: A Framework for Contextualizing Counterfactual Segment Perturbations in Point Clouds by Veljka Kocic, Niko Lukac, Dzemail Rozajac, Stefan Schweng, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Javier del Ser, Andreas Holzinger

“…The proposed framework undergoes rigorous evaluation, combining human inspection of LLM-generated suggestions with quantitative analysis of semantic classification model performance across different LLM variants. …”
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Perfusion-based ex vivo culture of frozen ovarian cancer tissues with preserved tumor microenvironment by Monica De Luise, Ivana Kurelac, Sara Coluccelli, Antonio De Leo, Ewelina M. Bartoszek, Maria Iorio, Marco Grillini, Camelia Alexandra Coadă, Dario de Biase, Lorena Marchio, Mónica Núñez López, Natalie Rimmer, Anna Myriam Perrone, Pierandrea De Iaco, Anna Maria Porcelli, Viola Heinzelmann, Ivan Martin, Francis Jacob, Manuele Giuseppe Muraro, Giuseppe Gasparre

“…Finally, treatment of slow-frozen OC tissues with carboplatin/paclitaxel revealed different degrees of response to treatment, as indicated by variations in tumor necrosis and number of residual PAX8+ cells, providing the bases for the prompt evaluation of OC standard chemotherapy efficacy in our ex vivo system.…”
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Association of bioelectrical impedance phase angle and nutritional status in patients undergoing pancreaticoduodenectomy by Jialing Li, Defu Hu, Yu Yan, Mengyu Yu, Hexing Hang, Hexing Hang, Yudong Qiu, Yudong Qiu, Dayu Chen, Xu Fu

“…The ROC curves revealed that the optimal cutoff point of PhA in predicting nutrition risk was 4.85° (AUC: 0.794).ConclusionIn summary, patients undergoing PD with low PhA are more likely to develop malnutrition different degrees. …”
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A synthetic data-driven machine learning approach for athlete performance attenuation prediction by Mauricio C. Cordeiro, Ciaran O. Cathain, Ciaran O. Cathain, Lorcan Daly, Lorcan Daly, David T. Kelly, David T. Kelly, Thiago B. Rodrigues

“…This study extends previous research by evaluating Tabular Variational Autoencoders (TVAE) for generating synthetic data to predict performance attenuation in Gaelic football athletes.MethodsThis study assesses synthetic data quality through a comprehensive evaluation framework combining column shape similarity metrics and Hellinger distance analysis, quantifying distributional fidelity across individual variables. …”
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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

“…Each research initiative aims to address specific challenges associated with these sensors, with the overarching goal of facilitating effective commercialization, optimizing resource use, and minimizing waste.Materials and MethodsTwo distinct algorithms, utilizing analog-to-digital converter and interrupt-based methodologies, were meticulously developed and thoroughly evaluated to determine the more effective method for monitoring. …”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

“…In total, about 168,000 training sequences, 23,000 validation sequences, and about 46,000 test sequences were generated. We tuned the parameters and hyperparameters of each model and upon finalizing the optimal architectures for our models, we initiated training experiments by fitting the models to the prepared datasets.Results and Discussion: Our experimental findings reveal that the proposed LSTM model significantly improved prediction accuracy compared to the MLP and XGBoost models. …”
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Variation in environmental characteristics of waters among oyster and mussel culture areas in Pilar Bay, Capiz by Stephanie S. Pimentel, Efren L. Linan, Raesa Mae B. Matias

“…Data were analyzed statistically using SPSS, and a geotagged map of the oyster and mussel culture areas was generated. Results showed significant differences in physicochemical parameters across months and sites, except for dissolved oxygen and salinity. …”
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Avaliação da qualidade da imagem e da Dose Glandular Média em Mamografia Digital. by Nathan Willig Lima, Iana Quintanilha Borba, Mauricio Anes, Juliana Monteiro Goulart, Alexandre Bacelar, Rochelle Lykawka

“…Mammographic technology has evolved in such a way that we have digital systems nowadays. Thus, image generation quality control must evolve as well. In this work, we have evaluated digital image quality and entrance skin dose (ESD) for different breast thicknesses simulated by PMMA plates (one, two, three and four centimeters) for different target filter combinations, suggesting a protocol optimization to the mammographic automatic system.We have used CDMAM 3.4 phantom (a contrast detail phantom) and its software in order to analyze digital images from a Siemens Mammomat Inspiration mammographic equipment. …”
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