Prevalence of ESBL-Resistant Genes in Birds in Italy—A Comprehensive Review by Muhammad Tahir Sarfraz Khan, Nicoletta Formenti, Giovanni Tosi, Flavia Guarneri, Federico Scali, Muhammad Kashif Saleemi, Eugenio Monti, Giovanni Loris Alborali

“…Of these studies, 79.3% investigated both phenotypic and genotypic ESBL expression while <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>b</mi><mi>l</mi><mi>a</mi></mrow><mrow><mi>C</mi><mi>T</mi><mi>X</mi><mo>−</mo><mi>M</mi></mrow></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>b</mi><mi>l</mi><mi>a</mi></mrow><mrow><mi>T</mi><mi>E</mi><mi>M</mi></mrow></msub></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>b</mi><mi>l</mi><mi>a</mi></mrow><mrow><mi>S</mi><mi>H</mi><mi>V</mi></mrow></msub></mrow></semantics></math></inline-formula> were considered as targeted gene families. …”
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Robust Distributed Observers for Simultaneous State and Fault Estimation over Sensor Networks by Dingguo Liang, Yunxiao Ren, Yuezu Lv, Silong Wang

“…Finally, the effectiveness of the proposed methods is verified through case studies on a spacecraft’s attitude control system.…”
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A Prior Knowledge-Enhanced Deep Learning Framework for Improved Thermospheric Mass Density Prediction by Ling Li, Changyong He, Dunyong Zheng, Shaoning Li, Dong Zhao

“…This work underscores the value of merging data-driven methods with domain-specific prior knowledge, offering a promising pathway for advancing TMD modeling in space weather and atmospheric research.…”
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Methodology of Information Study by Marcin J. Schroeder

“…Information study is not ready for this overarching role due to the lack of attention to its methodology. In particular, methods of structurally analyzing information independent of probability and the long overdue development of information semantics and ontology are missing or underdeveloped. …”
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Operator-Based Approach for the Construction of Solutions to (^<i>C</i><b>D</b>^(1/<i>n</i>))^{^<i>k</i>}-Type Fractional-Order Differential E... by Inga Telksniene, Zenonas Navickas, Romas Marcinkevičius, Tadas Telksnys, Raimondas Čiegis, Minvydas Ragulskis

“…A novel methodology for solving Caputo <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mfenced separators="" open="(" close=")"><mrow><mmultiscripts><mi mathvariant="bold">D</mi><none></none><mrow><mo>(</mo><mn>1</mn><mo>/</mo><mi>n</mi><mo>)</mo></mrow><mprescripts></mprescripts><none></none><mi>C</mi></mmultiscripts></mrow></mfenced><mi>k</mi></msup></semantics></math></inline-formula>-type fractional differential equations (FDEs), where the fractional differentiation order is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo>/</mo><mi>n</mi></mrow></semantics></math></inline-formula>, is proposed. …”
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Exploring the Relationship Between CAIDE Dementia Risk and EEG Signal Activity in a Healthy Population by Alice Rodrigues Manuel, Pedro Ribeiro, Gabriel Silva, Pedro Miguel Rodrigues, Maria Vânia Silva Nunes

“…The EEG signals were analyzed using Power Spectral Density (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>P</mi><mi>S</mi><mi>D</mi></mrow></semantics></math></inline-formula>)-based features. …”
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Compositional and Machine Learning Tools to Model Plant Nutrition: Overview and Perspectives by Léon Etienne Parent

“…Using a Brazilian onion (<i>Allium cepa</i>) database, the combined CoDa and ML methods returned crop response patterns, allowing feature-specific fertilizer recommendations to be made. …”
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Enhancing Precipitation Nowcasting Through Dual-Attention RNN: Integrating Satellite Infrared and Radar VIL Data by Hao Wang, Rong Yang, Jianxin He, Qiangyu Zeng, Taisong Xiong, Zhihao Liu, Hongfei Jin

“…The results of experimental evaluations on the SEVIR dataset demonstrate that the DA-RNN model surpasses traditional methods on the test set. Notably, the DA-TrajGRU model achieves reductions in mean squared error (MSE) and mean absolute error (MAE) of 30 (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>9.3</mn><mo>%</mo></mrow></semantics></math></inline-formula>) and 89 (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>6.4</mn><mo>%</mo></mrow></semantics></math></inline-formula>), respectively, compared with those of the conventional TrajGRU model. …”
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Unraveling the Serotonergic Mechanism of Stress-Related Anxiety: Focus on Co-Treatment with Resveratrol and Selective Serotonin Reuptake Inhibitors by Vadim E. Tseilikman, Olga B. Tseilikman, Marina N. Karpenko, Dmitrii S. Traktirov, Daria A. Obukhova, Vladislav A. Shatilov, Maxim S. Zhukov, Gennady V. Manuilov, Oleg N. Yegorov, Maxim R. Aristov, Ilya A. Lipatov, Irina A. Buksha, Alexandr E. Epitashvili, Anton A. Pashkov, Jurica Novak

“…This study investigates stress-induced anxiety as an immediate effect of chronic stress exposure using the predator stress paradigm. <b>Methods:</b> We examined serotonin levels, serotonin transporter (SERT), and 5-HT<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mrow><mn>3</mn><mi>A</mi></mrow></msub></semantics></math></inline-formula> receptor gene expression in response to stress. …”
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AirTrace-SA: Air Pollution Tracing for Source Attribution by Wenchuan Zhao, Qi Zhang, Ting Shu, Xia Du

“…Air pollution source tracing is vital for effective pollution prevention and control, yet traditional methods often require large amounts of manual data, have limited cross-regional generalizability, and present challenges in capturing complex pollutant interactions. …”
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Improving Automatic Coronary Stenosis Classification Using a Hybrid Metaheuristic with Diversity Control by Miguel-Angel Gil-Rios, Ivan Cruz-Aceves, Arturo Hernandez-Aguirre, Martha-Alicia Hernandez-Gonzalez, Sergio-Eduardo Solorio-Meza

“…<b>Results</b>: The proposed strategy achieved a classification rate of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.92</mn></mrow></semantics></math></inline-formula> for Accuracy and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.85</mn></mrow></semantics></math></inline-formula> for the Jaccard Coefficient, obtaining a subset of 16 features, which represents a discrimination rate of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.97</mn></mrow></semantics></math></inline-formula> from the 473 initial features. …”
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A Time-Resolved Fluorescent Microsphere Immunochromatographic Assay for Determination of Vitamin B12 in Infant Formula Milk Powder by Qianqian Lu, Yongwei Feng, Qi Zhou, Ting Yang, Hua Kuang, Chuanlai Xu, Lingling Guo

“…Then, a highly sensitive TRFM-ICA was developed, with a visual limit of detection of 10 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>g/kg and a cut-off value of 100 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>g/kg for qualitative detection and a detection range of 4.125–82.397 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>g/kg for quantitative detection. …”
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Lightweight Detection and Counting of Maize Tassels in UAV RGB Images by Hang Yang, Jiaji Wu, Yi Lu, Yuning Huang, Pinwei Yang, Yurong Qian

“…However, challenges arise from high sunlight, which can obscure features in reflective areas, and low sunlight, which hinders feature identification. Existing methods struggle to balance real-time performance and accuracy. …”
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Residual Stress Characteristics in Spot Weld Joints of High-Strength Steel: Influence of Welding Parameters by Wonjun Jo, Insu Woo, Yoshiki Mikami, Gyubaek An

“…However, for nugget sizes of 3<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msqrt><mi>t</mi></msqrt></mrow></semantics></math></inline-formula> (<i>t</i>: thickness), high tensile stress at the nugget edge compromised stability, while sizes of 3.5<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msqrt><mi>t</mi></msqrt></mrow></semantics></math></inline-formula> or larger improved fracture resistance. …”
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Integral Representation for Three-Dimensional Steady-State Couple-Stress Size-Dependent Thermoelasticity by Ali R. Hadjesfandiari, Arezoo Hajesfandiari, Gary F. Dargush

“…Boundary element methods provide powerful techniques for the analysis of problems involving coupled multi-physical response. …”
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Exact SER Analysis of Partial-CSI-Based SWIPT OAF Relaying over Rayleigh Fading Channels and Insights from a Generalized Non-SWIPT OAF Approximation by Kyunbyoung Ko, Seokil Song

“…We derive exact and asymptotic symbol error rate (SER) expressions using moment-generating function (MGF) methods, providing analytical insights into how the power splitting ratio <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ρ</mi></semantics></math></inline-formula> and the quality of source–relay (SR) and relay–destination (RD) links jointly affect system behavior. …”
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A Deep Learning Model for Spectral Reconstruction of Arrayed Micro-Resonators by Xinyi Zhou, Cheng Zhang, Zhenyu Zheng, Hongbin Li, Chao Peng

“…We reconstructed near-infrared spectra over an 80 nm range using a 144-unit photonic crystal cavity array, and achieved a single-peak resolution of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.47</mn></mrow></semantics></math></inline-formula> nm and a double-peak resolution of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.7</mn></mrow></semantics></math></inline-formula> nm. …”
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A Novel Decision-Support Framework for Supporting Renewable Energy Technology Siting in the Early Design Stage of Microgrids: Considering Geographical Conditions and Focusing on Re... by Bharath Kumar Sugumar, Norma Anglani

“…The framework categorizes criteria into quantitative and qualitative types, adopting a cost (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="script">C</mi></semantics></math></inline-formula>)- and benefit (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="script">B</mi></semantics></math></inline-formula>)-based approach. …”
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Solving Fredholm Integral Equations Using Probabilistic F-Contractions by Ismail Tahiri, Youssef Achtoun, Mohammed Lamarti Sefian, Stojan Radenović

“…Fixed-point theory plays a pivotal role in addressing equations that model various real-life applications, offering robust methods to find solutions that remain stable under different conditions and dynamics. …”
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Generative Adversarial Network-Based Lightweight High-Dynamic-Range Image Reconstruction Model by Gustavo de Souza Ferreti, Thuanne Paixão, Ana Beatriz Alvarez

“…The generation of High-Dynamic-Range (HDR) images is essential for capturing details at various brightness levels, but current reconstruction methods, using deep learning techniques, often require significant computational resources, limiting their applicability on devices with moderate resources. …”
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