Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing by Xi Cheng, Jieyu Yang, Zhiyong Han, Guozhong Shi, Deng Pan, Likang Meng, Zhuojun Zeng, Zhanfeng Shen

“…Given that the dispersion of rural inhabitants exhibits minimal variation and maintains stability, this research endeavors to establish a pragmatic model for rural domestic waste collection and routing, leveraging the capabilities of very high-resolution remote sensing combined with geographic information system (GIS) techniques. Specifically, the Dilated LinkNet model was employed to discern features such as buildings, roads, water bodies, farmlands, and forests from the high-resolution remote sensing imagery. …”
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Associations between GoSmart Channel, health literacy and health behaviours in adolescents: A population‐based study by Junjie Huang, Sze Chai Chan, Vera M. W. Keung, Calvin K. M. Cheung, Amelia S. C. Lo, Vincent T. C. Lau, Lancelot W. H. Mui, Albert Lee, Martin C. S. Wong

“…The majority (63.7%) of adolescents relied on their parents for health information, while 11.4% of the respondents sought information from the GoSmart Channel. …”
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Analysis of financial and economic indicators, characterizing the activities of organizations in the oil and gas industry by L. A. Chaldaeva, T. I. Chinaeva, A. S. Bogopolskiy

“…The research methodological base is represented by economic and statistical methods of information analysis.Results. The analysis of the main trends in the development of trade in the international oil trade is carried out, the key determinants of the modern world oil market are highlighted, the economic situation in the Russian oil industry is analyzed, which showed that there is a decrease in oil production associated with the OPEC + agreements; the share of exports of crude oil increases; the share of exports of refined oil decreases; the government is developing measures to reduce the dependence of budget revenues on the oil and gas industry.The main types of profit, such as gross profit, sales profit, before-tax profit, net profit are considered. …”
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Global non-uniformity in biophysical surface temperature responses to cropland expansion over non-forest vegetation by Menglin Si, Zhao-Liang Li, Xiangyang Liu, Yitao Li, Pei Leng, Bo-Hui Tang, Ronglin Tang, Si-Bo Duan, Meng Liu, Chenghu Zhou

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Risk factors associated with Cryptosporidium species and genotypes in Tennessee, 2018–2023 by Christine M. Thomas, Emma Roth, Christian Mackley, Dalton Ford, Dilani Goonewardene, Dorothy Baynham, William Schaffner, Mary-Margaret A. Fill, Jane Yackley, John R. Dunn

“…Of those, 282 (24%) had species information and 214 (18%) had genotype information. …”
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MultiModal Ensemble Approach Leveraging Spatial, Skeletal, and Edge Features for Enhanced Bangla Sign Language Recognition by Khan Abrar Shams, Md. Rafid Reaz, Mohammad Ryan Ur Rafi, Sanjida Islam, Md. Shahriar Rahman, Rafeed Rahman, Md. Tanzim Reza, Mohammad Zavid Parvez, Subrata Chakraborty, Biswajeet Pradhan, Abdullah Alamri

“…To address this, we propose a procedure that reduces these uncertainties by considering three modalities: spatial information, skeleton awareness, and edge awareness. …”
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Analysis of selected methods of person identification based on biometric data by Marcin Rudzki, Paweł Powroźnik

“…The research employs three ground-breaking convolutional neural network architectures: ResNet50, EfficientNetB0, and VGG16. The project's objective was to examine the influence of critical factors, such as image quality and data processing techniques, on the performance of face identification systems. …”
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Malaria prevention in the age of climate change: A community survey in rural Senegal. by Andrew C L Sherman, C Andrew Aligne, Jesse D Matthews

“…Survey responses gave rich, informative responses about mosquito net use. For example: 'If it's in the room set up properly under the mattress then it will be fine. …”
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Deep learning-based multiclass segmentation in aneurysmal subarachnoid hemorrhage by Julia Kiewitz, Julia Kiewitz, Orhun Utku Aydin, Adam Hilbert, Marie Gultom, Anouar Nouri, Ahmed A. Khalil, Peter Vajkoczy, Satoru Tanioka, Fujimaro Ishida, Nora F. Dengler, Nora F. Dengler, Nora F. Dengler, Dietmar Frey, Dietmar Frey

“…We used the 2d and 3d configurations of the nnU-Net deep learning biomedical image segmentation framework. …”
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Identification of Gingival Inflammation Surface Image Features Using Intraoral Scanning and Deep Learning by Wei Li, Linlin Li, Wenchong Xu, Yuting Guo, Min Xu, Shengyuan Huang, Dong Dai, Chang Lu, Shuai Li, Jiang Lin

“…The deep learning model GC-U-Net was used to automatically segment and identify the gingival inflammation regions. …”
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Real-Time Detection of Meningiomas by Image Segmentation: A Very Deep Transfer Learning Convolutional Neural Network Approach by Debasmita Das, Chayna Sarkar, Biswadeep Das

“…Since the VGGNet CNN model has a greater level of accuracy than other deep CNN models like AlexNet, GoogleNet, etc., we have chosen to employ it. …”
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Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks by Ahmed Mateen Buttar, Zubair Shaheen, Abdu H. Gumaei, Mogeeb A. A. Mosleh, Mogeeb A. A. Mosleh, Indrajeet Gupta, Samah M. Alzanin, Muhammad Azeem Akbar

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Uncertainty-Aware Deep Learning for Robust and Interpretable MI EEG Using Channel Dropout and LayerCAM Integration by Óscar Wladimir Gómez-Morales, Sofia Escalante-Escobar, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez

“…At the same time, <i>ShallowConvNet</i> recorded the lowest peak at 72.7%, indicating TCNet Fusion’s robustness in moderate-density montages. …”
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Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques by Zahra Raeisi, Abolfazl Sodagartojgi, Fahimeh Sharafkhani, Amirsadegh Roshanzamir, Hossein Najafzadeh, Omid Bashiri, Alireza Golkarieh

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A Population‐Based Correlation Analysis Between Hemoglobin A1c and Hemoglobin Levels by Tingyu Zhang, Tianyi Shi, Min Cao, Yunxi Ji, Yanbin Xue, Huayan Yao, Qiaomei Yin, Bin Cui, Zhen Xie, Ping He

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Res-ECA-UNet++: an automatic segmentation model for ovarian tumor ultrasound images based on residual networks and channel attention mechanism by Shushan Wei, Zhaoting Hu, Lu Tan

“…This integration enhances feature extraction efficiency while improving model stability and generalization capabilities. Furthermore, the ECA-Net channel attention mechanism is introduced during the downsampling phase. …”
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A geometric approach for accelerating neural networks designed for classification problems by Mohsen Saffar, Ahmad Kalhor, Ali Habibnia

“…The proposed method achieves impressive pruning results on networks trained by CIFAR-10 and ImageNet datasets, with 87.5%, 77.6%, and 78.8% of VGG16, GoogLeNet, and DenseNet parameters pruned, respectively. …”
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Short Sentences of Responsive Replies from Dialogues of ‘Hamlet’ in Russian Translations by N. Yu. Merkuryeva

“…It is revealed that in the translation texts, representative sentences are reflected by repeating individual words of the initiating utterance (sledi [follow] — slezhu [I follow]), idiomatic expressions (chego net, togo net [what is not, that is not]), sentence-words (da, net, vernо [yes, no, correct]), combinations like (sovershenno vernо [absolutely correct], tochno tak [just like that]), imperative markers (ne somnevaytes’ [do not doubt]). …”
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Hardwood riparian forests in northern Iberian Peninsula: classification and diversity patterns by Idoia Biurrun, Jokin Belmonte, Irati Sanz-Zubizarreta, Juan Antonio Campos

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Multi-Channel Speech Enhancement Using Labelled Random Finite Sets and a Neural Beamformer in Cocktail Party Scenario by Jayanta Datta, Ali Dehghan Firoozabadi, David Zabala-Blanco, Francisco R. Castillo-Soria

“…The exploitation of MS-GLMB filtering and a time-varying MVDR beamformer help in providing the spatial information of the sources, in addition to the spectral information, within the neural speech enhancement framework during the training phase. …”
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