Adjuvant Use of Ivabradine in Acute Heart Failure due to Myocarditis by Jennifer Franke, Dorothee Schmahl, Stephanie Lehrke, Regina Pribe, Raffi Bekeredjian, Andreas O. Doesch, Philipp Ehlermann, Philipp Schnabel, Hugo A. Katus, Christian Zugck

“…In both patients, the If-channel inhibitor ivabradine was administered off-label to provide selective heart rate reduction, and thus support hemodynamic stabilization. …”
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Image recognition technology for bituminous concrete reservoir panel cracks based on deep learning. by Kai Hu, Yang Ling, Jie Liu

“…A large dataset of panel images was collected and processed using denoising, standardization, and data augmentation techniques, with crack areas labeled via LabelImg software. The core model is an improved Xception network, enhanced with an adaptive activation function, dynamic attention mechanism, and multi-level residual connections. …”
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Image classification with rotation-invariant variational quantum circuits by Paul San Sebastian Sein, Mikel Cañizo, Román Orús

“…In this work, an equivariant architecture for variational quantum classifiers is introduced to create a label-invariant model for image classification with C_{4} rotational label symmetry. …”
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The Full m Index Sets of P2×Pn by Zhizhong Liu, Jinmeng Liu, Yurong Ji

“…This work expands the scope of previous graph labeling studies and provides new insights into determining the full m index set of product graphs. …”
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Was Clarke a Voluntarist? by Lukas Wolf

“…In response, defenders of the distinction have argued that these labels are needed in order to account for the famous correspondence between Leibniz (intellectualist) and Clarke (voluntarist). …”
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ECOLOGICAL AND SOCIALLY RESPONSIBLE ACTIVITIES OF BUSINESSES AS A DETERMINANT OF CUSTOMER PURCHASING BEHAVIOR by Katarzyna KILIAŃSKA

“…The research indicated that awareness of eco-labels positively influences the decision to purchase a product from an entity engaged in pro-environmental and pro-social activities. …”
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A New Bearing Fault Diagnosis Method Based on Deep Transfer Network and Supervised Joint Matching by Chengyao Liu, Fei Dong, Kunpeng Ge, Yuanyuan Tian

“…In practical industrial environment, variable working condition can result in shifts in data distributions, and the labeled fault data in various working conditions is difficult to collect because rotating machines often works in normal status, and the insufficient labeled fault data brings data samples imbalance and performance degradation of intelligent fault diagnosis model. …”
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Comparison of HER2-Targeted Antibodies for Fluorescence-Guided Surgery in Breast Cancer by Solmaz AghaAmiri, Jo Simien, Alastair M. Thompson, Julie Voss, Sukhen C. Ghosh, Servando Hernandez Vargas, Sarah Kim, Ali Azhdarinia, Hop S. Tran Cao

“…In vitro findings demonstrated HER2-mediated binding for both fluorescent immunoconjugates and were in agreement with radioligand assays using dual-labeled immunoconjugates. In vivo and ex vivo studies showed preferential accumulation of the fluorescently-labeled mAbs in tumors and similar tumor-to-background ratios. …”
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Assessing Physician and Patient Agreement on Whether Patient Outcomes Captured in Clinical Progress Notes Reflect Treatment Success: Cross-Sectional Study by Sarah B Floyd, Jordyn C Sutton, Marvin Okon, Mary McCarthy, Liza Fisher, Benjamin Judkins, Zachary Cole Reynolds, Ann Blair Kennedy

“…From the full dataset of 1000 physician-labeled notes, a stratified random sample of 25 notes from each outcome label group was identified for this study. …”
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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…Segmentasi gambar adalah salah satu bidang dalam computer vision yang membahas bagaimana cara komputer mempelajari dan mengenali segmen dari suatu gambar sesuai label yang ditentukan. Dalam kenyataannya banyak data yang mempunyai class atau label yang tidak seimbang, tentunya akan mempengaruhi tingkat akurasi dari suatu prediksi. …”
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Segment anything model for few-shot medical image segmentation with domain tuning by Weili Shi, Penglong Zhang, Yuqin Li, Zhengang Jiang

“…However, acquiring large labeled datasets remains unattainable due to the substantial expertise and time required for image labeling, as well as heightened patient privacy concerns. …”
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Comparison Between Convolutional Neural Network CNN and SVM in Skin Cancer Images Recognition by Zaid Ghazi Hadi, Ahmed R. Ajel, Ayad Q. Al-Dujaili

“…The network inputs are only disease labels and image pixels. About 320 clinical images of the different diseases have been used to train the CNN. …”
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DC-NNMN: Across Components Fault Diagnosis Based on Deep Few-Shot Learning by Juan Xu, Pengfei Xu, Zhenchun Wei, Xu Ding, Lei Shi

“…The cosine distance is merged into the K-Nearest Neighbor method to model the distance distribution between the unlabeled sample from the query set and labeled sample from the support set in high-dimensional fault features. …”
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Exploring the Therapeutic Landscape: A Narrative Review on Topical and Oral Phosphodiesterase-4 Inhibitors in Dermatology by Elena Carmona-Rocha, Lluís Rusiñol, Lluís Puig

“…Off-label use has been reported in diverse dermatological conditions, including aphthous stomatitis, chronic actinic dermatitis, atopic dermatitis, cutaneous sarcoidosis, hidradenitis suppurativa, lichen planus, and discoid lupus erythematosus. …”
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New Paraquat Requirements by Frederick Fishel, Brett Bultemeier, Jay Ferrell

“… This revision addresses the mitigation measures being undertaken by the EPA which became new labeling requirements for all paraquat products November 14, 2019. https://edis.ifas.ufl.edu/pi279 …”
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New Paraquat Requirements by Frederick Fishel, Brett Bultemeier, Jay Ferrell

“… This revision addresses the mitigation measures being undertaken by the EPA which became new labeling requirements for all paraquat products November 14, 2019. https://edis.ifas.ufl.edu/pi279 …”
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Application of semi-supervised Mean Teacher to rock image segmentation by Jiashan Li, Yuxue Wang

“…To address the issue of requiring a large number of labeled images for model training in traditional image segmentation methods, this paper proposes an improved semi-supervised Mean Teacher algorithm based on ResNet34-UNet. …”
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Logistics Information Traceability Mechanism of Fresh E-Commerce Based on Image Recognition Technology by Xin Zhang, Pengfei Shao

“…This scheme endorsed computer vision technology for logistics recognition and labelled data detection. In this scheme, the labelled logistics data is verified for its similarity in different migrating locations and to the endpoint. …”
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The interplay between gender-based workplace prejudice and girls’ occupational choice at Bahir Dar polytechnic college by Melaku Mengistu Gebremeskel

“…The analysis and interpretation of data demonstrated that the gender-based workplace labeling has put over its own impact on the professional choice of girls in the college. …”
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