Towards Efficient Object Detection in Large-Scale UAV Aerial Imagery via Multi-Task Classification by Shuo Zhuang, Yongxing Hou, Di Wang

“…Our method leverages bounding box label information to construct a salient region generation branch. …”
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Role of Long-Acting Porcine Sequence ACTH (Acton Prolongatum) Stimulated Cortisol in Assessing Glucocorticoid Status in COVID-19 Patients by Vijay S. R. Danda, Chandrashekhar Bhandiwad, Sharmila Palle, Srinivas R. Paidipally, Vivek Kyatham

“…The median random basal serum cortisol level (median (IQR): 10.2 (8) vs. 11.6 (9.7) vs. 16.2 (9.5) mcg/dl; P value 0.06), median delta value (median (IQR): 6.3 (5.8) vs. 7.6 (4.8) vs. 10.9 (5.6) mcg/dl; P value < 0.001), and median plasma ACTH (median (IQR): 13 (14.7) vs. 14.4 (14.1) vs. 22.3 (13) pg/ml; P value = 0.002) were lower in severe group subjects than in the moderate and mild group. When patients were labeled as adrenal insufficiency based on random basal serum cortisol < 10 mcg/dl or delta value < 9 mcg/dl, 48% of patients had adrenal insufficiency. …”
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Smartphone-based health monitoring in India: Data collection and evaluation for pulse rate estimation by Achal Shetty, Sanjana S. Narasimhamurthy, KS Nataraj, Srilakshmi M. Prabhu, Neha Jagadeesh, Kunal Katre, Sumit Kumar, Neelesh Kapoor, Sudhir P. Haladi, Sankalp Gulati

“…Their development often requires a large corpus of labeled datasets, but such large and diverse datasets for developing smartphone-based vital estimation systems, particularly adapted to Indian context, are scarce. …”
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Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data by Nuraina Syaza Azman, Azurah A Samah, Ji Tong Lin, Hairudin Abdul Majid, Zuraini Ali Shah, Nies Hui Wen, Chan Weng Howe

“…The results show that all 5 VAE models can obtain an accuracy and AUC score of 1.000, while only 2 out of 5 SDAE models (FS 1000 & 4000) can do so. 3 out of 5 SDAE models have an AUC score of 0.500, indicating zero capability in separating the binary class labels. The study concludes that a fine-tuned supervised learning VAE model has better capability in classification tasks compared to SDAE models for this specific study. …”
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Physicochemical Performance of Portland-Rice Husk Ash-Calcined Clay-Dried Acetylene Lime Sludge Cement in Sulphate and Chloride Media by Jackson Muthengia Wachira, Joseph Karanja Thiong’o, Joseph Mwiti Marangu, Leonard Genson Murithi

“…The compressive strength changes of the test cement in simulated media are also reported. The novel cement, labelled PCDC, made from intermixing ordinary Portland cement (OPC) with waste materials which included rice husks, waste bricks, acetylene lime sludge, and spent bleaching earth was previously tested and found to meet the Kenyan Standard requirements for Portland pozzolana cement (PPC). 100 mm mortar cubes were prepared, and their compressive strengths were determined after exposure to the sea water. …”
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Emily and Charlotte Brontë’s Re-reading of the Byronic hero by Cristina Ceron

“…Even though several critics have actually labelled the character of Heathcliff as ‘Byronic hero’, the debate has not delved into the textual or thematic evidence of the relation between Brontë’s protagonist and Byron hypertexts. …”
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Spectroscopic Method for Detection of Soluble Solid Content in Cherry Tomato Using Deep Convolutional Generative Adversarial Network-Based Data Augmentation by WU Zhijing, LIU Fuqiang, LI Zhigang, CHEN Hui

“…Considering insufficient sample numbers in the practical detection of soluble solid content (SSC) in cherry tomato, we proposed a deep convolutional generation adversarial network (DCGAN) model to expand spectral data and SSC label data, and established a one-dimensional convolutional neural network regression (1D-CNNR) model to improve the prediction accuracy and generalization capability of the DCGAN model. …”
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Plucking Point and Posture Determination of Tea Buds Based on Deep Learning by Chengju Dong, Weibin Wu, Chongyang Han, Zhiheng Zeng, Ting Tang, Wenwei Liu

“…In this study, tea images in the dataset were first labeled using the Labelme software (version 4.5.13), and then the LDS-YOLOv8-seg model was proposed to identify the tea bud region and plucking area. …”
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Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition by Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi

“…We also evaluated MoM learning using frameworks such as sequential labeling and machine reading comprehension, which are commonly used in NER. …”
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The Effect of a Turkey Berry (Solanum torvum)-Fortified Biscuit on the Hemoglobin Level and Cognitive Performance of Adolescent Females in the Ahafo Region of Ghana: A Pilot Study by Abigail Owusuaa Appiah, Marina Aferiba Tandoh, Pepertual Suglo Puotege, Anthony Kwaku Edusei

“…A cluster randomized controlled, open labeled trial was undertaken among four basic schools in the Ahafo Region of Ghana. …”
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Individual-specific strategies inform category learning by Jared S. Collina, Gozde Erdil, Mingyi Xia, Christopher F. Angeloni, Katherine C. Wood, Janaki Sheth, Konrad P. Kording, Yale E. Cohen, Maria N. Geffen

“…Individuals learn category labels using a variety of strategies to ensure that sensory signals, such as sounds or images, can be assigned to proper categories. …”
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‘Empty signifier’: The concept of ‘populism’ in the contemporary mainstream political science by L. G. Fishman

“…Meanwhile, the paper argues that as Western liberal democracies transform into ‘conciliatory democracies’ (‘oligarchies’) and increasingly resemble ‘defective democracies’, they themselves start to deviate from the normative ideal, just as any regime they label ‘populist’. Therefore, the existing concepts of populism signify not only a certain deviation from the ideal but also the birth of a new reality which cannot be conceptualized within the framework of the contemporary mainstream political science. …”
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Combined Treatment with Zinc Aspartate and Intravenous Immunoglobulins (IVIGs) Ameliorates Experimental Autoimmune Encephalomyelitis (EAE) by Diana Straubel, Anja Thielitz, Annegret Reinhold, Kurt Grüngreiff, Dirk Reinhold

“…In addition, IVIG application is used off-label for treatment of other autoimmune diseases, e.g., multiple sclerosis (MS), an inflammatory autoimmune disorder with a clear T cell-mediated immune pathogenesis. …”
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Cyberbullying: Violence in the digital world by Mijatović Marina D.

“…The above mentioned types of abuse can cause permanent and deep traumas, reduce the level of self-confidence of people who are labeled with this type of violence, damage them emotionally and socially. …”
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Automated CAD system for early detection and classification of pancreatic cancer using deep learning model. by Abubakar Nadeem, Rahan Ashraf, Toqeer Mahmood, Sajida Parveen

“…The detection stage analyzes the tumor region's extracted features characteristics by labeling the connected components and selecting the region with the highest density to locate the tumor area, achieving a good accuracy of 99.64%. …”
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Validation of the short form Compulsive Internet Use Scale in Students by Hassan Mahmoudian, abbas taghizade, Samira Golmirzaie

“…The results of the exploratory factor analysis using principal component analysis extracted five factors, labeled as loss of control, preoccupation, conflict, coping, and withdrawal symptoms, which accounted for 52.139% of the total variance. …”
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Effect of vortioxetine versus venlafaxine on cognitive functions in adults with major depressive disorder: A randomized-controlled trial by Chayan K. Manna, Rajeev Ranjan, Pankaj Kumar, Shamshad Ahmad, Santanu Nath

“…Methods: The present study was an open-label, active-controlled parallel design randomized clinical trial. …”
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An Optimized Hyperparameter Tuning for Improved Hate Speech Detection with Multilayer Perceptron by Muhamad Ridwan, Ema Utami

“…The study involved training the MLP model on a labeled dataset is based on crawling results on the Twitter platform of hate speech and non-hate speech overall total dataset is 13.169, followed by evaluation using standard metrics. …”
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On supergravity and noncritical strings by Andrea Dei, Pietro Ferrero, Leonardo Rastelli

“…The noncritical string can be viewed as a special case of a discrete series of backgrounds labelled by an integer k (which counts the number of NS5 branes in a certain duality frame); the “noncritical” value is k = 2, while for k → ∞ one recovers a weakly-curved 10d target space. …”
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Integrating AutoGluon for Real-Time Monitoring and Classification of Dental Equipment Performance by Muxiu Yang, Fengzhou Li, Wenfeng Qiu

“…Data preprocessing consisted of label encoding and normalization. The system evaluates multiple performance metrics: accuracy, balanced accuracy and Matthews correlation coefficient (MCC). …”
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