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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Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…The analysis conducted involves performing FCM classification to form interval classes and optimizing the forecasting results of the WFTS method with DE. …”
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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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Presenting a Stochastic Model of Simultaneous Planning Problem of Distribution and Subtransmission Network Development considering the Reliability and Security Indicators by Seyed Hossein Moayed, Hosein Hasan Shahi, Mohammadreza Akbarizadeh, Morteza Jadidoleslam, Arash Aghatehrani, Afshin Pirouzi

“…Thus, the mentioned problem is in the form of a stochastic problem in which the point estimation method is used to evaluate the scenarios. Simultaneous expansion planning of distribution and subtransmission networks along with the placement of distributed generations and capacitors, as well as modeling security and reliability indices, is the novelty of the proposed scheme. …”
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Satisfaction of Primary School Students in Observation Activities. by Daniela PAHOME

“…A specific questionnaire, composed of ten items, was developed to evaluate different dimensions of satisfaction with the learning activity. …”
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P-116 PREDICTION OF CIRRHOSIS THROUGH THE VELOCITY TIME INTEGRAL OF PORTAL VEIN TRACE by Diego Arufe, Ezequiel Demirdjian, Nancy Cordero, Edgar Suarez

“…Sensitivity, specificity, NPV, PPV, and likelihood ratios (LLR+ and LLR-) were also evaluated. Results and Discussion: Fifty patients were evaluated (36 with cirrhosis and 14 controls). …”
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Tilt–Roll Heliostats and Non-Flat Heliostat Field Topographies for Compact, Energy-Dense Rooftop-Scale and Urban Central Receiver Solar Thermal Systems for Sustainable Industrial P... by Joshua Freeman, Walajabad Sampath, Krishnashree Achuthan

“…This is a different optimization objective than minimizing the Levelized Cost of Energy (LCOE) in typical open-land, utility-scale heliostat layout optimization. …”
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Disaccharides and Fructooligosaccharides (FOS) Production by Wild Yeasts Isolated from Agave by Yadira Belmonte-Izquierdo, Luis Francisco Salomé-Abarca, Mercedes G. López, Juan Carlos González-Hernández

“…Fructooligosaccharides (FOS) are short fructans with different degrees of polymerization (DP) and bonds in their structure, generated by the distinct activities of fructosyltransferase enzymes, which produce distinct types of links. …”
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First Results of a Study on the Vibrations Transmitted to the Driver by an Electric Vehicle for Disabled People During Transfer to a Farm by Laura Fornaciari, Roberto Tomasone, Daniele Puri, Carla Cedrola, Renato Grilli, Roberto Fanigliulo, Daniele Pochi, Mauro Pagano

“…This study evaluates the safety aspects of a prototype electric vehicle designed to enable wheelchair users to independently perform simple farm tasks in rural settings, like sample collection and crop monitoring. …”
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Mycosynthesis of silver nanoparticles by Aspergillus templicola OR480102: a multifaceted approach for antibacterial, anticancer, and scratch assay applications by Marwa M. Abdel-Kareem, Maysa M. A. Ali, Abd El-Latif Hesham, Hossam E. F. Abdel-Raheam, Marwa Obiedallah

“…Results Within this current investigation, for the first time, we evaluated how the extracellular extract of the isolate MAK223 generated exceptionally fixed AgNPs. …”
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Surface Ice Detection Using Hyperspectral Imaging and Machine Learning by Steve Vanlanduit, Arnaud De Vooght, Thomas De Kerf

“…Hyperspectral reflectance data were acquired using a push-broom HSI system under controlled laboratory conditions, with ice and rime ice generated using a thermoelectric cooling setup. Support Vector Machine (SVM) and Random Forest (RF) classifiers were trained on uncoated aluminum samples and evaluated on surfaces with different coatings to assess model generalization. …”
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Synthesis of Zeolite from Electrolytic Manganese Residue: Investigation on the Variation of the Propert of Zeolite during the Conversion Process by Changxin Li, Yuan Yu, Qingwu Zhang, Hong Zhong, Shuai Wang

“…By varying synthesis conditions, different zeolites with different purity were generated, and it was proven that a lower Si/Al ratio, relatively higher temperature, and relatively longer time favored the synthesis of zeolite. …”
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YOLOv9-Based Human Face Detection and Counting Under Human-Animal Faces, Complex Imaging Environments, and Image Qualities by Sivaranjini Perikamana Narayanan, M. Sabarimalai Manikandan, Linga Reddy Cenkeramaddi

“…The performance of the model is degraded under different kinds of noise and blurred images. The results of this study highlight that performance can be improved by using noise-specific filtering techniques with optimal filtering parameters, but this requires the automatic identification of noise types and their corresponding parameters.…”
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