Cooperative Spectrum Sensing for Cognitive Heterogeneous Networking Using Iterative Gauss-Seidel Process by Haleh Hosseini, Kaamran Raahemifar, Sharifah Kamilah Syed Yusof, Alagan Anpalagan

“…Heterogeneous networks with dense deployment of small cells can employ cognitive features to efficiently utilize the available spectrum resources. Spectrum sensing is the key enabler for cognitive radio to detect the unoccupied channels for data transmission. …”
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Simple fuzzy classification of metal qualities of Ona River, Ibadan, Nigeria, and its implication for fish production and other uses by Olayiwola Akin Akintola, Foluso Oyedotun Agunbiade, Tolulope Omolayo Ariyomo, Toju Esther Babalola, Bolaji Adelanke Adabembe, Oluwaseun Temitope Faloye, Opeyemi Samuel Sajo

“…The results revealed that the PTEs: Fe, Pb, Cd, Cr, and Mn were detected above guideline limits in several sampling points, indicating possible contamination from anthropogenic sources. …”
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Multimodal AI and Large Language Models for Orthopantomography Radiology Report Generation and Q&A by Chirath Dasanayaka, Kanishka Dandeniya, Maheshi B. Dissanayake, Chandira Gunasena, Ruwan Jayasinghe

“…In addition, the proposed solution includes a question-answering platform in the native Sinhala language, alongside the English language, designed to function as a chatbot for dental-related queries. We hope that this platform will eventually bridge the gap between dental services and patients, created due to a lack of human resources. …”
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Multifaceted roles of Galectins: from carbohydrate binding to targeted cancer therapy by Nan Zhang, Qiao Liu, Daihan Wang, Xiaoyun Wang, Zhaoping Pan, Bo Han, Gu He

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Ultra-high-energy γ-ray emission associated with the tail of a bow-shock pulsar wind nebula

“…The source energy spectrum extended up to 300 TeV, which was well fitted by a log-parabola function with N0 = (1.93 ± 0.23) × 10−16 TeV−1 cm−2 s−1, α = 2.14 ± 0.27, and β = 1.20 ± 0.41 at E0 = 30 TeV. …”
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Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems bi... by M. R. P. De Silva, J. W. J. K. Weeraman, S. Piyatissa, P. C. Fernando

“…Abstract Background Rice is a critical global food source, but it faces challenges due to nutritional deficiencies and the pressures of a growing population. …”
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Assessing the impact of a rare synonymous variant in the <i>KNG1</i> gene on the development of hereditary angioedema by N. A. Pechnikova, Yu. V. Ostankova, M. A. Saitgalina, A. M. Bebyakov, A. A. Totolian

“…The material was a whole blood sample obtained from a woman with clinical manifestations of hereditary angioedema without a decrease in the levels and function of the C1 inhibitor. The research methods included whole exome sequencing, bioinformatic analysis of the KNG1 gene mutation using a number of databases and web resources. …”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…Multimodal neural network systems for analyzing heterogeneous dermatological data, using the proposed optimization algorithms, can be applied as a tool for auxiliary medical diagnostics, which will reduce the consumption of financial and labor resources involved in the medical industry, as well as increase the chance of early detection of pigmentary oncopathologies.…”
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3D Seismic Attribute Conditioning Using Multiscale Sheet-Enhancing Filtering by Taiyin Zhao, Yuehua Yue, Tian Chen, Feng Qian

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Logistical constraints lead to an intermediate optimum in outbreak response vaccination. by Yun Tao, Katriona Shea, Matthew Ferrari

“…The latter may also result in significantly larger outbreaks, thus suggesting a benefit of allocating resources to timely outbreak detection and response.…”
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Green Chemistry Method for Analyzing Bisphenol A in Milk by Angela M. Encerrado Manriquez, Wen-Yee Lee

“…., its ability to mimic hormone functions). Studies have reported that BPA can leach into various food sources, including milk, a dietary staple for infants. …”
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Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

“…Early Lung Cancer (LC) detection is essential for reducing the global mortality rate. …”
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Insights into the Driving Factors of Methane Emission from Double-Season Rice Field Under Different Fertilization Practices in South China by Jin Zheng, Yusheng Lu, Peizhi Xu, Kaizhi Xie, Changmin Zhou, Yaying Li, Haoyang Geng, Qianyuan Wang, Wenjie Gu

“…Paddy fields are the main agricultural source of greenhouse gas methane (CH₄) emissions. …”
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Operational monitoring of acoustic sensor networks by V. A. Boltenkov, G. Kh. M. Al-Jasri

“…Both of them are based on the placement of the test sound source within a network. The signal processing for ASN sensors had to detect the failed element. …”
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Advanced signal processing algorithm for fault classification and localization in VSC-HVDC based Offshore wind farm by Rehana Perveen

“…This work provides real-time validation on the RTDS platform by the use of S-transform, Ensemble Empirical Mode Decomposition (EEMD), and SVM, for quick and reliable detection of AC/DC faults. Next for classification, features extracted through intrinsic mode function decomposed by EMD and EEMD and classified distinctly using support vector machine techniques. …”
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A data driven approach using local measurements to locate turbine governors causing forced oscillations by Sigurd Hofsmo Jakobsen, Xavier Bombois, Santiago Sanchez Acevedo, Hallvar Haugdal, Salvatore D’Arco

“…When forced oscillations are detected, they are located by finding the transfer functions that describe the behaviour of the corresponding plant the worst. …”
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Programming‐Assisted Imaging of Cellular Nitric Oxide Efflux Gradients and Directionality via Carbon Nanotube Sensors by Ivon Acosta Ramirez, Sruti Das Choudhury, Carley Conover, Omer Sadak, Nicole M. Iverson

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Research on Behavior Recognition and Online Monitoring System for Liaoning Cashmere Goats Based on Deep Learning by Geng Chen, Zhiyu Yuan, Xinhui Luo, Jinxin Liang, Chunxin Wang

“…We improved YOLOv8n through dataset expansion, algorithm lightweighting, attention mechanism integration, and loss function optimization. Our improved model achieved the highest detection accuracy of 98.11% compared to other state-of-the-art (SOTA) target detection algorithms. …”
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The challenge of triple intestinal parasite infections in immigrants—A call for comprehensive differential diagnosis by Emmanuel Edwar Siddig, Ayman Ahmed

“…This case highlights the necessity of heightened awareness, early detection, and effective management of parasitic infections to enhance public health efforts and minimize the spread of these diseases. …”
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Spatial distribution characteristics and influencing factors of milk tea stores in Wuhan based on sDNA and OPGD models. by Wentao Yang, Xinrui Zhan, Dinghui Liu, Huade Zhu

“…We then examined the influencing factors by combining spatial design network analysis, optimal parameters-based geographical detection, and location-based service big data. Our results revealed the following: (1) The spatial distribution of stores was concentrated in areas with high closeness and betweenness centrality, forming a multi-core "northwest-southeast" distribution pattern with significant spatial positive correlation. (2) The stores' spatial pattern was influenced by the road network betweenness and the presence of office buildings, shopping malls, shopping centers, and tourism resources. …”
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