‘Over-hopefulness and getting-on-ness’: Ruskin, Nature, and America by Sara Atwood

“…He was wary as well of American optimism, which seemed to him naïve and facile. Ruskin’s understanding of the natural world was connected by ‘all manner of strange intellectual chords and nerves with the pathos and history of this old English country of ours; and on the other side, with the history of the European mind from earliest mythology down to modern rationalism and ir-rationalism’ (36.533). …”
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Machine Learning Method for Predicting the Merge and Morphology of Galaxies through Near-Infrared Spectroscopy by Samira Monfared, Neda Abdolvand, Mohammad Taghi Mirtorabi, Saeedeh Rajaee Harandi

“…In both phases, various algorithms such as Naive Bayes, Random Forest, and Generalized linear model (GLM) and Neural network are used to ensure the best results according to the research data. …”
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Fast anomalous traffic detection system for secure vehicular communications by Qasem Abu Al-Haija, Abdulaziz A. Alsulami

“…The proposed system utilizes four machine learning techniques: Adaboost Trees (ABT), Coarse Decision Trees (CDT), Naive Bayes Classifier (NBC), and Support Vector Machine (SVM). …”
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Fault Identification of UHVDC Transmission Based on DF-AD and Ensemble Learning by Qingsheng Zhao, Xinyu Yang, Xiaoqing Han, Dingkang Liang, Xuping Wang

“…Finally, an ensemble classifier consisting of Light Gradient Boosting Machine (LightGBM), K Nearest Neighbor (KNN), and Naive Bayes (NB) classifiers was utilized to identify UHVDC faults. …”
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Tigers, Terrain, and Human Settlement Influence the Occupancy of Leopards (Panthera pardus) in Southwestern Tarai, Nepal by Laxmi Raj Joshi, Rabin Bahadur K. C., Madhu Chetri, Morten Odden, Olivier Devineau, Ajay Karki, Bhagawan Raj Dahal, Naresh Subedi

“…We conducted an occupancy survey using remote cameras in southwestern Tarai, particularly in Shuklaphanta National Park, Nepal, to assess habitat use by leopards from December 2022 to January 2023. Naive and model‐averaged occupancy estimates were 0.51 and 0.6563 (SE: 0.022, 95% CI: 0.612, 0.70), respectively. …”
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Perforation of the Papilla of Vater in Wire-Guided Cannulation by Yuichi Takano, Masatsugu Nagahama, Eiichi Yamamura, Naotaka Maruoka, Hiroshi Takahashi

“…Of 2032 patients who underwent ERCP at our department between January 2010 and December 2014, we selected 208 patients who underwent WGC for naïve papilla as subjects. A detailed examination of patients in whom a perforation occurred was conducted, and risk factors for perforations were investigated. …”
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Membrane Bound CRT Fragment Accelerates Tumor Growth of Melanoma B16 Cell In Vivo through Promoting M2 Polarization via TLR4 by Hong-Min Wang, Zhe Zhou, Jie Miao, Bo Zhu, Xiao-Qiu Dai, Qiao Zhong, Fang-Yuan Gong, Xiao-Ming Gao

“…Consistent with the in vivo results, B16-tmCRT/39-272 promoted macrophage polarization toward F4/80+CD206+ M2 macrophages and promoted transforming growth factor beta (TGF-β) secretion in vitro, which could promote naïve CD4+T cell differentiation into Tregs. These results imply that the tmCRT/39-272 could accelerate tumor development by enhancing M2 macrophage polarization to induce TGF-β secretion, and then promoted Treg differentiation in the tumor microenvironment. …”
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Probabilistic Forecasts of Storm Sudden Commencements From Interplanetary Shocks Using Machine Learning by A. W. Smith, I. J. Rae, C. Forsyth, D. M. Oliveira, M. P. Freeman, D. R. Jackson

“…Four models are tested including linear (Logistic Regression), nonlinear (Naive Bayes and Gaussian Process), and ensemble (Random Forest) models and are shown to provide skillful and reliable forecasts of SCs with Brier Skill Scores (BSSs) of ∼0.3 and ROC scores >0.8. …”
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Health-related quality of life following bisphosphonate therapy in individuals with Paget’s disease of bone – A study from a teaching hospital in Southern India by Fibi K. Ninan, Kripa Elizabeth Cherian, Remya Rajan, Felix Jebasingh, Nitin Kapoor, Hesarghatta S. Asha, Nihal Thomas, Thomas V. Paul

“…Methods: In this prospective observational study spanning 6 years (Jan 2017–Dec 2022), we included 29 treatment-naïve patients diagnosed with PDB based on clinical, biochemical, and radiographic features. …”
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A novel RFE-GRU model for diabetes classification using PIMA Indian dataset by Mahmoud Y. Shams, Zahraa Tarek, Ahmed M. Elshewey

“…Afterwards, we trained the extracted features using various types of Machine Learning (ML); Random Forest (RF), Logistic Regression (LR), K-Nearest neighbor (KNN), Naïve Bayes (NB), Histogram Gradient Boost (HGB), and Gated Recurrent Unit (GRU) models. …”
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Circulating levels of osteoprotegerin and sRANKL and the effect of methotrexate in patients with rheumatoid arthritis by Aadhaar Dhooria, Narendhiran Pandurangan, Karthik Vinay Mahesh, Suchet Sachdev, Aman Sharma, Shefali Sharma, Nidhi Gupta, Varun Dhir

“…Methods: Methotrexate-naive patients with active rheumatoid arthritis (RA) between 18 and 65 years of age were included. …”
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Atherogenic Cytokines Regulate VEGF-A-Induced Differentiation of Bone Marrow-Derived Mesenchymal Stem Cells into Endothelial Cells by Izuagie Attairu Ikhapoh, Christopher J. Pelham, Devendra K. Agrawal

“…MSCs (CD44+, CD73+, CD90+, CD14−, and CD45−) were isolated from the bone marrow of Yucatan microswine. Naïve MSCs cultured in differentiation media containing VEGF-A (50 ng/mL) demonstrated increased expression of EC-specific markers (vWF, PECAM-1, and VE-cadherin), VEGFR-2 and Sox18, and enhanced endothelial tube formation. …”
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Long-Term Cultured Human Term Placenta-Derived Mesenchymal Stem Cells of Maternal Origin Displays Plasticity by Vikram Sabapathy, Saranya Ravi, Vivi Srivastava, Alok Srivastava, Sanjay Kumar

“…These cells did not significantly alter cell cycle or apoptosis pattern while maintaining the normal karyotype; they also have limited expression of MHC-II antigens and are Naive for stimulatory factors CD80 and CD 86. Further soft agar assays revealed that placental MSCs do not have the ability to form invasive colonies. …”
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On the Search for Supersingular Elliptic Curves and Their Applications by Ismel Martinez-Diaz, Rashad Ali, Muhammad Kamran Jamil

“…This paper analyzes the search of supersingular elliptic curves in the space of curves over <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="double-struck">F</mi><msup><mi>p</mi><mn>2</mn></msup></msub></semantics></math></inline-formula>. We show that naive random search is unsuitable to easily find any supersingular elliptic curves when the space size is greater than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mn>13</mn></msup></semantics></math></inline-formula>. …”
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Identification of an Immune Gene-Based Cisplatin Response Model and CD27 as a Therapeutic Target against Cisplatin Resistance for Ovarian Cancer by Ying Guo, Na Yang, Gang Li, Xiurong Yin, Lixia Dong

“…Treg scores were significantly decreased in cisplatin-resistant than cisplatin-sensitive OV specimens, with the opposite results for naïve B cells and activated dendritic cells. Fourteen prognostic DEGs were identified and used to develop a cisplatin-response model. …”
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Hierarchical Task-Parameterized Learning from Demonstration for Collaborative Object Movement by Siyao Hu, Katherine J. Kuchenbecker

“…We then show that the advantages transfer to real hardware for a task where naive participants collaborated with a Willow Garage PR2 robot to move a handheld object. …”
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Role of Traditional Cardiovascular Risk Factors after Initiation of Statin Therapy: A PharmLines Inception Cohort Study by Dennis Steenhuis, Stijn de Vos, Jens Bos, Eelko Hak

“…Multiple studies and meta-analyses examined the role of traditional risk factors for cardiovascular events in statin treatment-naive patients. Nowadays, millions receive such therapy for the primary prevention of cardiovascular events (CVE). …”
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A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning by E. Sreehari, L. D. Dhinesh Babu

“…Later, we employed models such as decision trees, support vector machines, k-nearest neighbors, random forests, stochastic gradient descent, and Gaussian naive bayes to determine the type of cancer. The classification metrics such as accuracy, precision, recall, F1 score, kappa score, and Matthews coefficient were utilized to evaluate the effectiveness of the suggested ACRFS approach. …”
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Melanoma-derived cytokines and extracellular vesicles are interlinked with macrophage immunosuppression by Shankar Suman, Wendy K. Nevala, Alexey A. Leontovich, James W. Jakub, Liyi Geng, Sarah A. McLaughlin, Svetomir N. Markovic

“…The analysis from altered cytokine profile data showed that melanoma-derived EVs upregulate Th2 cytokine expression in naïve macrophages, thereby contributing to the promotion of tumor-supporting functions. …”
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M. T. Ramírez. The body by itself. From the phenomenology of the body to an ontology of the embodied self / trans. from Span. А. К. Zhaparova by А. К. Zhaparova

“…The exemplar exteriority with which Nancy defines the body allows us to calibrate — in the sense of an immanent Philosophy which is not done, closed or definite — an atheism free from naïve and a kind of Ontological Realism free from abstractions or dogmatism. …”
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