Assessment of knowledge and awareness of monkeypox viral infection in Palestine: a community-based study by Nuha El Sharif, Muna Ahmead

“…Knowledge was significantly higher among those with more educational attainment and healthcare employment (p-value< 0.05). …”
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Microstrip doubler microwave with non-traditional implementation by E. Glushechenko

“…The multipliers are used to multiply the frequency of highly stable but more low-frequency devices with the subsequent extraction of the necessary harmonics from the frequency spectrum of the received microwave range. …”
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Research on Associative Cognition Networks with Educational Robotics for Learning Healthy Hydration Habits. by Alejandro De la Hoz Serrano, Lina Viviana Melo Niño, Florentina Cañada Cañada, Javier Cubero Juánez

“…To improve assessment in higher education, we advocate more studies analyzing Associative Cognitive Networks on the effects of learning scientific content and the use of resources such as Educational Robotics. …”
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New insights into how Yersinia pestis adapts to its mammalian host during bubonic plague. by Elizabeth Pradel, Nadine Lemaître, Maud Merchez, Isabelle Ricard, Angéline Reboul, Amélie Dewitte, Florent Sebbane

“…Here, we generated a library of Y. pestis mutants, each lacking one or more of the genes previously identified as being up-regulated in vivo. …”
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Research on multi-attribute controller for virtual data domain based on software definition network by Jianmin Wang, Bo Zhang, Tongrang Fan, Zijian Fu, Wenbin Zhao

“…Based on software definition network, this article proposes a framework for building virtual data domain, which establishes a multi-attribute decision model by network nodes for optimizing the deployment of control layer, so as to realize large-scale deployment. …”
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Essential role of NK cells in IgG therapy for experimental autoimmune encephalomyelitis. by Wai Po Chong, Man To Ling, Yinping Liu, Rachel R Caspi, Wai Man Wong, Wutian Wu, Wenwei Tu, Yu Lung Lau

“…Interestingly, cells from draining lymph nodes produced more interleukin 2 after the adoptive transfer of IgG-treated NK cells. …”
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Graph-based method for constructing consensus trees by Torquet Elio, Jansson Jesper, Tahiri Nadia

“…This algorithm incorporates topological information, edge frequency, clade frequency, and branch length to construct a more robust and comprehensive consensus tree. Our adaptation of the well-known Prim algorithm efficiently identifies the maximum frequency branch and maximum frequency nodes to build the optimal consensus tree. …”
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Constructing a predictive model based on peripheral blood signs to differentiate infectious mononucleosis from chronic active EBV infection by Jin hua Yuan, Chong jie Pang, Shuang long Yuan

“…Results: Univariate analyses revealed that both IM and CAEBV-infected patients displayed overlapping and intersecting clinical manifestations, such as fever, sore throat, enlarged lymph nodes, and enlargement of the liver and spleen, and that in contrast to inflammatory responses in peripheral blood, CAEBV-infected patients had more severe inflammatory responses. …”
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An Efficient Framework for Large Scale Multimedia Content Distribution in P2P Network: I2NC by M. Anandaraj, P. Ganeshkumar, K. P. Vijayakumar, K. Selvaraj

“…Network coding (NC) makes content distribution more effective and easier in P2P content distribution network and reduces the burden of the original seeder. …”
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Passive localization based on radio tomography images with CNN model utilizing WIFI RSSI by Muhammad Jabbar, Umar Shoaib

“…This paper employs a set of ESP32 nodes for a mesh network and utilizes a radio frequency sensor network with ESP32 modules to collect RSSI values. …”
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Esophageal Cancer Metastases to Unexpected Sites: A Systematic Review by Osama Shaheen, Abdulaziz Ghibour, Bayan Alsaid

“…The most common pattern of esophageal cancer metastases (ECM) is to the lymph nodes, lung, liver, bones, adrenal glands, and brain. …”
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Brain Tumor Identification and Classification of MRI Images Using Deep Learning Techniques by Zheshu Jia, Deyun Chen

“…ELM is a type of learning algorithm consisting of one or more layers of hidden nodes. Such networks are used in various areas, including regression and classification. …”
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Understanding CO adsorption in MOFs combining atomic simulations and machine learning by Goktug Ercakir, Gokhan Onder Aksu, Seda Keskin

“…Structural and chemical analyses revealed that MOFs with narrow pores (4.4–7.3 Å), aromatic ring-containing linkers and carboxylic acid groups, along with metal nodes such as Co, Zn, Ni achieve high CO uptakes at 1 bar. …”
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The Property Graph Data Format (PGDF) by Renzo Angles, Sebastian Ferrada, Ignacio Burgos

“…The experiments show that PGDF enables the production of smaller files more quickly compared to other graph data formats.…”
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Spark-Based Label Diffusion and Label Selection Community Detection Algorithm for Metagenome Sequence Clustering by Zhengjiang Wu, Xuyang Wu, Junwei Luo

“…In SpaRC, sequences are defined as nodes and clustered by a parallel label propagation algorithm (LPA). …”
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Analysis of Core Area Characteristics in Travel Networks Using Block Modeling by Mincheul Bae, Soyeong Lee, Heesun Joo

“…Block modeling, a method that clusters nodes performing similar roles within a network to identify functional regional structures, distinguishes passenger and freight patterns. …”
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Investigation of the Pathogenesis of Lumpy Skin Disease Virus in Indigenous Cattle in Kazakhstan by Lespek Kutumbetov, Ainur Ragatova, Moldir Azanbekova, Balzhan Myrzakhmetova, Nurbek Aldayarov, Kuandyk Zhugunissov, Yergali Abduraimov, Raikhan Nissanova, Asylay Sarzhigitova, Nazerke Kemalova, Arman Issimov

“…Viral genome and replication were confirmed in blood, skin nodules, and lymph nodes, with peak viral loads between days 11 and 14 pi. …”
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Paranasal Sinus Embryonal Rhabdomyosarcoma Metastasizing to Breast and Ovary on PET/CT—A Case Report with the Review of Literature by Vijay Singh, Vivek Saini, Manish Ora, Sanjay Gambhir

“…Embryonal, alveolar, pleomorphic, and spindle/sclerosing are subtypes. It is more common in childhood and rare among adults. The incidence and risk factors for this disease are mainly largely unknown. …”
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Fog Offloading and Task Management in IoT-Fog-Cloud Environment: Review of Algorithms, Networks, and SDN Application by Mohammad Reza Rezaee, Nor Asilah Wati Abdul Hamid, Masnida Hussin, Zuriati Ahmad Zukarnain

“…However, the increased amount of IoT gadgets and data they produce is a formidable challenge for fog nodes. Task offloading may enhance fog computing by offloading the excess data to other nodes for processing due to the restricted resources in the fog. …”
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Sparse graph neural network aided efficient decoder for polar codes under bursty interference by Shengyu Zhang, Zhongxiu Feng, Zhe Peng, Lixia Xiao, Tao Jiang

“…Simulation results show that the proposed decoder is more robust than the existing ones in the presence of bursty interference and exhibits high universality.…”
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