Social Support Quality in Internet Based Information and Communication: From "Digital Divide" to "Voice Divide" by Alexandra Klein

“…National and international studies demonstrate that the number of teenagers using the inter-net increases. But even though they actually do have access from different places to the in-formation and communication pool of the internet, there is evidence that the ways in which teenagers use the net - regarding the scope and frequency in which services are used as well as the preferences for different contents of these services - differ significantly in relation to socio-economic status, education, and gender. …”
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Optimizing brain tumor detection in MRI scans through InceptionResNetV2 and deep stacked Autoencoders with SwiGLU activation and sparsity regularization by Vishal Awasthi, Mamta Tiwari, Amit Yadav, Gesu Thakur, Mamata Mayee Panda, Hemant Kumar, Shivneet Tripathi

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Boundary aware microscopic hyperspectral pathology image segmentation network guided by information entropy weight by Xueying Cao, Hongmin Gao, Ting Qin, Min Zhu, Ping Zhang, Ping Zhang, Peipei Xu, Peipei Xu

“…However, the complex structure and indistinct boundaries of lesion tissues present significant challenges in achieving precise segmentation.MethodsTo address these challenges, we propose a novel method named BE-Net. It employs multi-scale strategy and edge operators to capture fine edge details, while incorporating information entropy to construct attention mechanisms that further strengthen the representation of relevant features. …”
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Waste heat recovery cycles integration into a net-Zero emission solar-thermal multi-generation system; Techno-economic analysis and ANN-MOPSO optimization by Pradeep Kumar Singh, Ali Basem, Rebwar Nasir Dara, Mohamed Shaban, Sarminah Samad, Raymond Ghandour, Ahmad Almadhor, Samah G. Babiker, Iskandar Shernazarov, Ibrahim A. Alsayer

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How Europe formulates internet policy by Andrej Savin

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Profitability Analysis of the Robusta Coffee Value Chain in the Tshopo Province, Democratic Republic of Congo by Louis Pasteur Bamenga Bopoko, Theodore Trefon, Jean-Pierre Mate, Baudouin Michel

“…This entailed the calculation of the net present value, internal rate of return, and payback period. …”
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Phylogenomic and mitogenomic data can accelerate inventorying of tropical beetles during the current biodiversity crisis by Michal Motyka, Dominik Kusy, Matej Bocek, Renata Bilkova, Ladislav Bocak

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Clarifying confusions over carbon conclusions: antecedent soil carbon drives gains realised following intervention by Albert Muleke, Matthew Tom Harrison, Rowan Eisner, Maria Yanotti, Peter de Voil, Shah Fahad, Wang Fei, Puyu Feng, Carla Ferreira, Daniel Forster, Xionghui Gao, Ke Liu, Jianguo Man, Lixiao Nie, Jiangwen Nie, Zhiming Qi, Narasinha Shurpali, Weilu Wang, Rui Yang, Xiaogang Yin, Feng Zhang, Yunbo Zhang, Jin Zhao

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SolarSegNet: A multimodal frequency-aware network for photovoltaic power stations extraction using Sentinel-1 and Sentinel-2 images in coastal China by Fangxiong Wang, Zhiying Liao, Yingzi Hou, Zhenqi Cui, Yiqi Wang, Jiachen Gong, Haomiao Yu, Junfu Wang, Yuanyi Zhu, Qiao Yu, Jianfeng Zhu

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Deep Multi-Modal Skin-Imaging-Based Information-Switching Network for Skin Lesion Recognition by Yingzhe Yu, Huiqiong Jia, Li Zhang, Suling Xu, Xiaoxia Zhu, Jiucun Wang, Fangfang Wang, Lianyi Han, Haoqiang Jiang, Qiongyan Zhou, Chao Xin

“…To address this, we propose a deep learning framework, Multi-Modal Skin-Imaging-based Information-Switching Network (MDSIS-Net), for end-to-end skin lesion recognition. …”
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Assessing The Role of Information and Communication Technology in The Management of Records in Selected Secondary Schools in Kabale Municipality. by Rukundo, Aggrey

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Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images by Zhibao Wang, Ying Yuan, Man Zhao, Dan Zhou, Lu Bai, Jinhua Tao, Anna Jurek-Loughrey

“…To address this, we propose a novel framework that integrates change detection with image retrieval, focusing specifically on the change information in bi-temporal remote sensing images. Our model, SCanNet-CDH (Semantic Change Network and Convolutional Deep Hashing), integrates convolutional neural networks with Transformer architecture, utilizing multi-scale features from ResNet-34 and enhancing them with the CSWin Transformer for improved global feature modeling. …”
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A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory by Mengyuan Xu, Haoxuan Yang, Annan Hu, Lee Heng, Linyi Li, Ning Yao, Gang Liu

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Chronic obstructive pulmonary disease candidate gene prioritization based on metabolic networks and functional information. by Xinyan Wang, Wan Li, Yihua Zhang, Yuyan Feng, Xilei Zhao, Yuehan He, Jun Zhang, Lina Chen

“…The gene prioritization method was superior to ToppGene and ToppNet in both literature validation and functional enrichment analysis. …”
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A method for intelligent information extraction of coal fractures based on µCT and deep learning by Zhazha HU, Xun ZHANG, Yi JIN, Linxian GONG, Wenhui HUANG, Jianji REN, Norbert Klitzsch

“…Specifically, the TransUNet model yielded an accuracy of 91.3%, precision of 89.5%, F1 score of 89.8%, and Intersection over Union (IoU) of 84.0%, significantly outperforming other intelligent models like U-Net and U-Net++. Given the characteristics of fine-grained µCT images, applying TransUNet to the fracture information extraction of coals emerges as an efficient and accurate approach. …”
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Swedish School of Library and Information Science 50 years! A multi-colour bibliometric portrait by Gustaf Nelhans, Björn Hammarfelt

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The role of inhibition in a computational model of an auditory cortical neuron during the encoding of temporal information. by Daniel Bendor

“…In contrast to this, a non-synchronized rate representation is generated when the net excitation evoked by the sound is weak, which occurs when excitation is coincident and balanced with inhibition. …”
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AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya

“…Predicting air quality and associated health impacts is crucial for early intervention and informed policy planning. This work presents Air Quality Network (AirQuaNet), a novel convolutional neural network (CNN) designed to predict air quality levels accurately. …”
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Co-Phase Error Detection for Segmented Mirrors Based on Far-Field Information and Transfer Learning by Kunkun Cheng, Shengqian Wang, Xuesheng Liu, Yuandong Cheng

“…This paper proposes a method for high-precision detection of piston errors in segmented mirror telescope systems, based on far-field information and transfer learning. By training a ResNet-18 network model, this method can predict piston errors with high precision within 10 ms of a single-frame far-field diffraction image. …”
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Census tract socioeconomic indicators and COVID-19-associated hospitalization rates-COVID-NET surveillance areas in 14 states, March 1-April 30, 2020. by Jonathan M Wortham, Seth A Meador, James L Hadler, Kimberly Yousey-Hindes, Isaac See, Michael Whitaker, Alissa O'Halloran, Jennifer Milucky, Shua J Chai, Arthur Reingold, Nisha B Alden, Breanna Kawasaki, Evan J Anderson, Kyle P Openo, Andrew Weigel, Maya L Monroe, Patricia A Ryan, Sue Kim, Libby Reeg, Ruth Lynfield, Melissa McMahon, Daniel M Sosin, Nancy Eisenberg, Adam Rowe, Grant Barney, Nancy M Bennett, Sophrena Bushey, Laurie M Billing, Jess Shiltz, Melissa Sutton, Nicole West, H Keipp Talbot, William Schaffner, Keegan McCaffrey, Melanie Spencer, Anita K Kambhampati, Onika Anglin, Alexandra M Piasecki, Rachel Holstein, Aron J Hall, Alicia M Fry, Shikha Garg, Lindsay Kim

“…<h4>Objectives</h4>Some studies suggested more COVID-19-associated hospitalizations among racial and ethnic minorities. To inform public health practice, the COVID-19-associated Hospitalization Surveillance Network (COVID-NET) quantified associations between race/ethnicity, census tract socioeconomic indicators, and COVID-19-associated hospitalization rates.…”
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