Prediction of permeability and effective porosity values using ANN in Maleh field by Mohammed Essa Nassani, Ali Alaji

“…An artificial neural network (ANN) was constructed with three hidden layers—comprising 15, 10, and 4 neurons, respectively—utilizing well logging parameters (CAL, VCL, NPHI, RHOB, DT) as inputs. …”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…This study presents a machine learning-based approach to forecast Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic network topologies and resource constraints. The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
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The role of radio as the public sphere for public political education in the digital era: Challenges and pitfalls by Anang Sujoko, Dyan Rahmiati, Fathur Rahman

“…Radio’s ability to survive was strongly supported by its ability to utilize of income opportunities and elegantly avoid economic and political pitfalls by empowering the role of the public sphere through massive involvement of external sources. …”
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Decoding public sentiment topics in google map reviews on urban infrastructure development of belt and road initiative by Yue Xiong, Jiayong Liang, Chenghe Guan

“…Abstract Despite the broad scope of Belt and Road Initiative (BRI) projects and deep intertwine with urban development, there is a lack of quantitative research utilizing crowd-sourced data to understand public perceptions, particularly from both spatial and temporal perspectives. …”
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Carnosol attenuates Acinetobacter baumannii virulence by interfering with indole-mediated quorum sensing by Binbin Cui, Ganjin Peng, Mingfang Wang, Xiaohan Kong, Hanqi Wei, Xiwen Ling, Guangliang Wu, Yinyue Deng

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Assessment of EMF Exposure Induced by Wireless Cellular Phones in Various Usage Scenarios in France by Jiang Liu, Yarui Zhang, Wassim Ben Chikha, Shanshan Wang, Theodoros Samaras, Ourouk Jawad, Lamine Ourak, Emmanuelle Conil, Joe Wiart

“…According to the type of sources, RF-EMF exposure can be categorized into uplink (device-to-base station) and downlink (base station-to-device) transmissions. …”
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An ensemble strategy for piRNA identification through hybrid moment-based feature modeling by Mansoor Ahmed Rasheed, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan

“…The proposed approaches show great potential for enhancing the accuracy of piRNA prediction, significantly aiding future research and the scientific community in the in-silico identification of piRNA. The source codes and datasets utilized in this study are accessible at https://github.com/MansoorAhmadRasheed/piRNA-codes-and-result .…”
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Integrative analysis of efferocytosis- and invasion-related genes as potential biomarkers and therapeutic targets in breast cancer by Jing Yang, Rong Zhang, Lamei Sun, Cong Wang, Ming Feng, Bin Su, Lixin Jiang

“…Abstract Breast cancer remains a primary source of cancer-related mortality among females worldwide. …”
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GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series by Khalid ElHaj, Dalal Alshamsi

“…The modular clustering framework utilizes hierarchical agglomerative clustering and a custom hydrology-specific distance function. …”
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Reinforcement Learning-Based UAV Swarm Fission–Fusion Approach With Real-World Data-Integrated Validation by Xiaorong Zhang, Dacheng Qi, Wenrui Ding, Xinrui Zhang, Qingyi Liu, Yufeng Wang

“…This paper proposes a reinforcement learning–based UAV swarm fission–fusion approach with real-world data integrated validation for the swarm’s fission-fusion behavior in response to multiple unknown dynamic disturbances, along with a system validation method utilizing real-world data. The proposed approach effectively integrates fission–fusion dynamics with perception and control to enable UAV swarms to function robustly in the presence of such disturbances. …”
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Effects of Valproic Acid Embryonic Exposure on Zebrafish: A Systematic Review and Meta-Analysis by Bernardo Flores-Prieto, Jorge Manzo-Denes, María Elena Hernández-Aguilar, Genaro Alfonso Coria-Avila, Deissy Herrera-Covarrubias, Gonzalo Emiliano Aranda-Abreu, Fausto Rojas-Durán, César Antonio Pérez-Estudillo, Jorge Suárez-Medellín, María Rebeca Toledo-Cárdenas

“…At the genetic level, VPA exposure is associated with the differential expression of genes involved in neurodevelopment and neuronal function. The synthesized data from these studies underscore the utility of zebrafish as a model organism for investigating the effects of teratogen exposure on neurodevelopment.…”
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Characterization of the diversity, genomic features, host bacteria, and distribution of crAss-like phages in the pig gut microbiome by Yaxiang Wang, Chao Wei, Zhe Chen, Mengqing Zhou, Lusheng Huang, Congying Chen

“…Approximately 64.73% of crAss-like phage genes lacked functional annotations, highlighting a gap in understanding their functional potential. …”
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Cost-effectiveness of prehabilitation prior to elective surgery compared to usual preoperative care: protocol for a systematic review of economic evaluations by Tanja Rombey, Helene Eckhardt, Wilm Quentin

“…Introduction Preoperative functional capacity is an important predictor of postoperative outcomes. …”
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Analysis of the need for a mobile application to support family caregivers of patients with incurable cancer – The development of the “Angehörigen-App”: a qualitative study in Swit... by Beat Huber, Natalie Röderer, Monica Fliedner, Alexander Wünsch

“…OBJECTIVES: The aim of the study was to investigate the utility of a mobile application to support the relatives of palliative cancer patients in Switzerland, the potential content elements of such an app, and its optimal functional and structural design. …”
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Collagenase injection versus limited fasciectomy surgery to treat Dupuytren’s contracture in adult patients in the UK: DISC, a non-inferiority RCT and economic evaluation by Joseph Dias, Puvan Tharmanathan, Catherine Arundel, Charlie Welch, Qi Wu, Paul Leighton, Maria Armaou, Belen Corbacho, Nick Johnson, Sophie James, John Cooke, Christopher Bainbridge, Michael Craigen, David Warwick, Samantha Brady, Lydia Flett, Judy Jones, Catherine Knowlson, Michelle Watson, Ada Keding, Catherine Hewitt, David Torgerson

“…Secondary outcomes included: Unité Rhumatologique des Affections de la Main scale; Michigan Hand Outcomes Questionnaire; recurrence; extension deficit and total active movement; further care/re-intervention; complications; quality-adjusted life-year; resource use; and time to function recovery. Randomisation and blinding Online central randomisation, stratified by the most affected joint, and with variable block sizes allocates participants 1 : 1 to collagenase or limited fasciectomy. …”
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NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

“…The use of submillimeter resolution functional magnetic resonance imaging (fMRI) is increasing in popularity due to the prospect of studying human brain activation non-invasively at the scale of cortical layers and columns. …”
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Risk factors for prolonged hospitalization in acute decompensated heart failure from the HEROES study by Mateusz Lucki, Przemysław Mitkowski, Ewa Lucka, Marek Grygier, Ewa Straburzyńska-Migaj, Robert Morawiec, Agnieszka Kapłon-Cieślicka, Agata Galas, Katarzyna Byczkowska, Piotr Hamala, Iwona Gorczyca-Głowacka, Anna Furman-Niedziejko, Dominika Klimczak-Tomaniak, Agnieszka Major, Adrian Stefański, Mateusz Guzik, Małgorzata Zachura, Mateusz Staciwa, Ewa Pierzchała, Maciej Nadel, Maciej Lesiak

“…Early identification of high-risk patients may facilitate personalized management and optimize healthcare resource utilization.…”
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By-Products Valorization: Peptide Fractions from Milk Permeate Exert Antioxidant Activity in Cellular and In Vivo Models by Valeria Scalcon, Federico Fiorese, Marica Albanesi, Alessandra Folda, Gianfranco Betti, Marco Bellamio, Emiliano Feller, Claudia Lodovichi, Giorgio Arrigoni, Oriano Marin, Maria Pia Rigobello

“…Altogether, the results unveil novel recovery strategies for food by-products as sources of antioxidant bioactive peptides that might be utilized for the development of functional foods.…”
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Lactic Acid Bacteria and Yeast Fermentation to Improve the Nutritional Value of <i>Ulva rigida</i> by Marta Brandão, Diogo J. Marques, Sofia Sousa, Marília Mateus, Helena M. Pinheiro, M. Manuela R. da Fonseca, Carla Pires, Maria Leonor Nunes, António Marques, M. Teresa Cesário

“…These findings highlight the potential of utilizing <i>S. cerevisiae</i> and lactobacilli starter cultures in seaweed fermentation to produce <i>Ulva</i>-based feed ingredients.…”
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Development of time to event prediction models using federated learning by Rasmus Rask Kragh Jørgensen, Jonas Faartoft Jensen, Tarec El-Galaly, Martin Bøgsted, Rasmus Froberg Brøndum, Mikkel Runason Simonsen, Lasse Hjort Jakobsen

“…Abstract Background In a wide range of diseases, it is necessary to utilize multiple data sources to obtain enough data for model training. …”
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