Solar Wind Prediction Using Deep Learning by Vishal Upendran, Mark C. M. Cheung, Shravan Hanasoge, Ganapathy Krishnamurthi

“…We evaluate our model against autoregressive and naive models and find that our model outperforms the benchmark models, obtaining a best fit correlation of 0.55 ± 0.03 with the observed data. …”
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Afraid of the dentist? There's an app for that: Development and usability testing of a cognitive behavior therapy-based mobile app. by Kelly A Daly, Kiara A Diaz-Gutierrez, Armon Beheshtian, Richard E Heyman, Amy M Smith Slep, Mark S Wolff

“…A sub-sample of participants naïve to the app (n = 10) completed the app during a think-aloud procedure, sharing their candid thoughts and reactions while using the app, prior to reporting on usability and credibility metrics.…”
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Comparing Family Functioning and Maternal Anxiety in Children with Attention and Hyperactivity Disorder and Controls by Gonca OZYURT, Aynur AKAY PEKCANLAR, Yusuf OZTURK

“…All patients were treatment-naive. Du Paul Atention Deficit and Hyperactivity Disorder-Rating Scale -IV Inventory for ADHD symptoms, Family Assessment Device (FAD) for family functioning, State Trait Anxiety Inventory for maternal anxiety were used. …”
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Inhibition of JAK-STAT ERK/MAPK and Glycogen Synthase Kinase-3 Induces a Change in Gene Expression Profile of Bovine Induced Pluripotent Stem Cells by Luis F. Malaver-Ortega, Huseyin Sumer, Jun Liu, Paul J. Verma

“…Pluripotent stem cells (PSCs) fall in two states, one highly undifferentiated, the naïve state, and the primed state, characterized by the inability to contribute to germinal lineage. …”
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CryJ-LAMP DNA Vaccines for Japanese Red Cedar Allergy Induce Robust Th1-Type Immune Responses in Murine Model by Yan Su, Michael Connolly, Anthony Marketon, Teri Heiland

“…We also isolated different T cell populations from immunized mice and adoptively transferred them into naïve mice followed by CryJ1/CryJ2 protein boosts. …”
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Network-Based Video Recommendation Using Viewing Patterns and Modularity Analysis: An Integrated Framework by Mehrdad Maghsoudi, Mohammad Hossein Valikhani, Mohammad Hossein Zohdi

“…The approach outperformed traditional methods like Naive Bayes and SVM. Future research should explore advanced techniques, such as matrix factorization models, graph neural networks, and hybrid approaches combining content-based and collaborative filtering. …”
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Exploiting Sharing Join Opportunities in Big Data Multiquery Optimization with Flink by Xiao-Yan Gao, Radhya Sahal, Gui-Xiu Chen, Mohammed H. Khafagy, Fatma A. Omara

“…The experimental evaluation has demonstrated that the J-MOTH system outperforms the naive and the state-of-the-art techniques by 44% for query execution time using TPC-H queries. …”
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The novel H10N3 avian influenza virus acquired airborne transmission among chickens: an increasing threat to public health by Xiaoquan Wang, Huiyan Yu, Yahao Ma, Pinghu Zhang, Xiyue Wang, Jianyu Liang, Xiuling Zhang, Ruyi Gao, Xiaolong Lu, Wenhao Yang, Yu Chen, Min Gu, Jiao Hu, Xiaowen Liu, Shunlin Hu, Daxin Peng, Xian Qi, Changjun Bao, Kaituo Liu, Xiufan Liu

“…Significantly, the human population remains largely naïve to H10N3 infection, but sporadic seropositivity among poultry workers indicates previous exposure to H10 subtype AIVs. …”
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Comparison of Post Biopsy Pathology and Post Radical Prostatectomy Pathology in Patients with Prostate Cancer Detected After Fusion Biopsy by Serdar Göktaş, Murat Celik, Halil Özer, Murat Gül, Ali Furkan Batur, Özcan Kılıç, Mehmet Kaynar, Emre Altıntaş

“…All these patients were biopsy naive with PIRADS-3 lesions according to the multiparametric MRI (mp-MRI) imaging. …”
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Anaemia and Iron Homeostasis in a Cohort of HIV-Infected Patients: A Cross-Sectional Study in Ghana by Christian Obirikorang, Razak Gyesi Issahaku, Derick Nii Mensah Osakunor, James Osei-Yeboah

“…A comparative cross-sectional study on 319 participants was carried out at the Tamale Teaching Hospital from July 2013 to December 2013, 219 patients on HAART (designated On-HAART) and 100 HAART-naive patients. Data gathered include sociodemography, clinical history, and selected laboratory assays. …”
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Effect of Vitreous Reflux after Intravitreal Aflibercept Injection for Macular Edema with Branch Retinal Vein Occlusion: A Real-World Study by Tetsuya Muto, Masaaki Sakamoto, Shigeki Machida, Shinichiro Imaizumi, Tetsuju Sekiryu

“…This study aimed to evaluate the therapeutic effect of vitreous reflux (VR) after intravitreal aflibercept injection (IVAI) for macular edema (ME) following naïve branch retinal vein occlusion (BRVO). Methods. …”
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Molecular Mechanism of VSV-Vectored ASFV Vaccine Activating Immune Response in DCs by Yunyun Ma, Junjun Shao, Wei Liu, Shandian Gao, Guangqing Zhou, Xuefeng Qi, Huiyun Chang

“…In addition, the co-culture results of recombinant virus-treated DCs with naive T cells showed that the Th1- and Th17-type responses were effectively activated. …”
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Claudin-4 Undergoes Age-Dependent Change in Cellular Localization on Pig Jejunal Villous Epithelial Cells, Independent of Bacterial Colonization by J. Alex Pasternak, Coral Kent-Dennis, Andrew G. Van Kessel, Heather L. Wilson

“…Newborn piglets are immunologically naïve and must receive passive immunity via colostrum within 24 hours to survive. …”
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The Crosstalk between Mesenchymal Stem Cells and Macrophages in Bone Regeneration: A Systematic Review by Rita Lih-Ying Shin, Chien-Wei Lee, Oscar Yuan-Jie Shen, Hongtao Xu, Oscar Kuang-Sheng Lee

“…In conclusion, anti-inflammatory macrophages (M2) have significantly more potential to strengthen bone regeneration compared with naïve (M0) and classically activated macrophages (M1). …”
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Excretory/secretory-products of Echinococcus multilocularis larvae induce apoptosis and tolerogenic properties in dendritic cells in vitro. by Justin Komguep Nono, Katrien Pletinckx, Manfred B Lutz, Klaus Brehm

“…Finally, upon incubation with DC and naïve T-cells, E/S-products from metacestode vesicles led to a significant expansion of Foxp3+ T cells in vitro.…”
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Sex differences in prevalence and clinical correlates of subclinical hypothyroidism in Chinese patients with first-episode untreated major depressive disorder by Junqiang Cui, Yujia Weng, XiaoE Lang, Fangfang Shangguan, Xiang-Yang Zhang

“…Methods A total of 1706 first-episode drug naïve Chinese patients with MDD were recruited. Depressive symptoms were assessed by the 17-item Hamilton Depression Rating Scale, psychotic symptoms by the Positive and Negative Syndrome Scale and anxiety symptoms by the Hamilton Anxiety Rating Scale. …”
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Evaluation of Vitrectomy with Planned Foveal Detachment as Surgical Treatment for Refractory Diabetic Macular Edema with or without Vitreomacular Interface Abnormality by Ahmed M. Abdel Hadi

“…The study included group 1, surgically naïve eyes, and group 2, cases with persistent edema despite a previous vitrectomy (7 eyes (25%)). …”
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Gene Regulatory Network of Human GM-CSF-Secreting T Helper Cells by Szabolcs Éliás, Angelika Schmidt, David Gomez-Cabrero, Jesper Tegnér

“…We compared these cells to the corresponding GM-CSF-negative fraction, and furthermore, we studied naïve CD4 T cells, memory CD4 T cells, and bulk CD4 T cells from the same individuals as additional control cell populations. …”
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Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran by M. A. Zangeneh Asadi, L. Goli Mokhtari, R. Zandi, M. Naemitabar

“…The study employs ensemble Bagging algorithms, the gradient boosting machine (GBM), genetic algorithm, Naïve Bayes algorithm, gradient boosting decision trees, and extremely randomized trees. …”
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Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

“…This study investigates 12 machine learning models—logistic regression (LR), support vector machine (SVM, linear/RBF), K-nearest neighbor (KNN), Naïve bayes (NB), decision tree (DT), random forest (RF), extra trees (ET), gradient boosting (GbBoost), extreme gradient boosting (XgBoost), adaboost, and multi-layer perceptron (MLP)—to develop a robust ML model capable of reliably identifying PD cases. …”
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