The Social and Economic Significance of Natural Gum and Resin in the Woodlands of South Omo Zone, Southern Ethiopia by Alemayehu Hido, Asabeneh Alemayehu

“…Semistructured questionnaire and checklists were used for households and key informant interviews and focus group discussions, respectively. …”
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Cost–Utility Analysis of Multigene Assays to Guide Treatment Decisions for Node-Negative Early Breast Cancer by Vladislav Berdunov, Gebra Cuyún-Carter, Yaneth Gil-Rojas, Christy Russell, Sara Campbell, Jennifer Racz, Yara Abdou

“…Conclusions All four multigene assays were cost-effective from a societal perspective, offering low net lifetime costs or savings with improved outcomes compared with clinicopathologic risk assessment alone. …”
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Enhancing advanced cervical cell categorization with cluster-based intelligent systems by a novel integrated CNN approach with skip mechanisms and GAN-based augmentation by Gunjan Shandilya, Sheifali Gupta, Ahmad Almogren, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…It includes three convolutional layers with increasing filter sizes and max-pooling layers, followed by dropout and dense layers for improved feature extraction and robust learning. By using ResNet models as inspiration, the model further innovates by incorporating skip connections into the CNN design. …”
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Dataset of apples for grading by sweetness, ripeness and varietyMendeley Data by Shilpa Gaikwad, Sonali Kothari, Ignisha Rajathi G

“…The system was optimized to allow spectral information to be obtained in 8 discrete wavebands, which enabled non-destructive determination of such key fruit components as ripeness, sugar type and cultivar. …”
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DMFFNet: Dual-Mode Multiscale Feature Fusion-Based Pedestrian Detection Method by Ruizhe Hu, Ting Rui, Yan Ouyang, Jinkang Wang, Qunyan Jiang, Yinan Du

“…First, we use the MobileNet v3 backbone network to extract the features of dual-modal images as input for the multi-scale fusion attention (MFA) module, combining the idea of multi-scale feature fusion and attention mechanism. …”
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Phenology-Aware Transformer for Semantic Segmentation of Non-Food Crops from Multi-Source Remote Sensing Time Series by Xiongwei Guan, Meiling Liu, Shi Cao, Jiale Jiang

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An enhanced multimodal fusion deep learning neural network for lung cancer classification by Sangeetha S.K.B, Sandeep Kumar Mathivanan, P Karthikeyan, Hariharan Rajadurai, Basu Dev Shivahare, Saurav Mallik, Hong Qin

“…The performance is compared with established methods like CNN, DNN, and ResNet. The results underscore MFDNN's pivotal role in revolutionizing lung cancer diagnosis, promising more accurate and timely identification of this critical condition.…”
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Physiological changes and expression characteristics of ZIP family genes under zinc deficiency in navel orange (Citrus sinensis) by Fei XING, Xing-zheng FU, Nan-qi WANG, Jian-long XI, Yi HUANG, Wei ZHOU, Li-li LING, Liang-zhi PENG

“…Zinc (Zn) deficiency is widespread among citrus plants, but information about the mechanisms for Zn deficiency response in these plants is scarce. …”
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From Binary to Multi-Class Classification: A Two-Step Hybrid CNN-ViT Model for Chest Disease Classification Based on X-Ray Images by Yousra Hadhoud, Tahar Mekhaznia, Akram Bennour, Mohamed Amroune, Neesrin Ali Kurdi, Abdulaziz Hadi Aborujilah, Mohammed Al-Sarem

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Redefining dental image processing: De-convolutional component with residual prolonged bypass for enhanced teeth segmentation by Prasun Kumar, Verma Anil, Mishra Rajiv

“…RES model includes prolonged bypass paths that carry feature information across multiple layers. This ensures that features extracted at earlier layers (low-level features) are available at much deeper layers. …”
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Safety of Drinking Water from Primary Water Sources and Implications for the General Public in Uganda by Keneth Iceland, Kasozi, Sarah, Namubiru, Roland, Kamugisha, Ejike, Daniel Eze, Fred, Ssempijja, Alfred, Omachonu Okpanachi, Hellen, Wambui Kinyi, Jovile Kasande, Atusiimirwe, Dickson Stuart, Tayebwa, Joy, Suubo, Edgar Mario, Fernandez, Nathan, Nshakira, Andrew, Tamale

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African Childhood “Reawakened”: Using Cultural Studies Theory in Understanding the Use of Symbolism in Camara Laye’s The African Child. by Johnson, Ocan, Lillian, Tindyebwa

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Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study by Mahmudur Rahman, Jifan Gao, Kyle A Carey, Dana P Edelson, Askar Afshar, John W Garrett, Guanhua Chen, Majid Afshar, Matthew M Churpek

“…ConclusionsThe study shows the potential of chest radiographs in deep learning models for predicting clinical deterioration. The DenseNet121 architecture pretrained with chest radiographs performed better than other architectures in most experiments, and the addition of histogram normalization with random Gaussian noise data augmentation may enhance the performance of DenseNet121 and pretrained VGG16 architectures.…”
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Data on the Ecological Composition and Functional Distribution of Insect Communities in Onshore Wind Farms by Jin Lee, Sung-soo Kim, Do-hun Lee

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Judicial Performance Review in Arizona: A Critical Assessment by Rebecca White Berch, Erin Norris Bass

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Real-Time PPG-Based Biometric Identification: Advancing Security with 2D Gram Matrices and Deep Learning Models by Ali Cherry, Aya Nasser, Wassim Salameh, Mohamad Abou Ali, Mohamad Hajj-Hassan

“…To analyze and authenticate users, we employed an EfficientNetV2 B0 model integrated with a Long Short-Term Memory (LSTM) network, achieving a remarkable 99% accuracy on the test set. …”
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Image processing for microprocessors TIM voids detection by Ting Ying Jiang, Mei-Hui Song, Zi-Ying Oh, Tong Liu

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ATDMNet: Multi-Head Agent Attention and Top-k Dynamic Mask for Camouflaged Object Detection by Rui Fu, Yuehui Li, Chih-Cheng Chen, Yile Duan, Pengjian Yao, Kaixin Zhou

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Efficacy of educational programm for patients with rheumatoid arthritis by E V Bolshakova, A S Iljicheva, N I Korshunov

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Research Progress in the Study of Traditional Chinese Herbal Medicine Extracts Regulating Ferroptosis thus Improving the Symptom of Alzheimer's Disease by PEI Jinying, SONG Jinzhou, MA Daofeng, LUO Xiaoting, LIU Bin, DONG Xiaohong, CONG Shuyuan

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