A Comprehensive Review of the Diagnostics for Pediatric Tuberculosis Based on Assay Time, Ease of Operation, and Performance by Soumya Basu, Subhra Chakraborty

“…Based on TAT and ease of operation, this article reviews the evolving landscape of TB diagnostics, from traditional methods like microscopy and culture to cutting-edge molecular techniques and biomarker-based approaches. …”
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Retracted: Clinical Brain Death with False Positive Radionuclide Cerebral Perfusion Scans by Case Reports in Critical Care

“…Case Reports in Critical Care…”
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Thermal and Acoustic Design of a Shelter for High-Voltage Electrical Equipment by Somayan Basu, Edoardo Piana

“…However, there is a risk of overheating the vital and costly parts of the system with the possibility to cause malfunction and, in extreme cases, damage. Moreover, leaving the system open exposes nearby residents to the impulsive noise produced during the operation of the switchgears being part of the system. …”
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Graviton Signals in Central Production at the LHC by Rahul Basu, Tanumoy Mandal

“…We study central production, in the inclusive case, to look for graviton signals in a large extra dimensional model using dilepton and diphoton channels. …”
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Two Faces of Protein Kinase Cδ: The Contrasting Roles of PKCδ in Cell Survival and Cell Death by Alakananda Basu, Deepanwita Pal

“…Since the identification that PKCδ is a substrate for caspase-3, there has been overwhelming literature that linked PKCδ with proapoptotic signaling. …”
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Building a rights-based approach to nutrition for women and children: harnessing the potential of women’s groups and rights-based organizations in South Asia by Monica Shrivastav, Vani Sethi, Avishek Hazra, Zivai Murira, Roopal Jyoti Singh, Krishna Wagh, Anuradha Nair, Veronica Kamanga Njikho, Sapna Desai

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Quality by Design-Based Methodology for Development of Titanate Nanotubes Specified for Pharmaceutical Applications Based on Risk Assessment and Artificial Neural Network Modeling by Ranim Saker, Géza Regdon, Krisztina Ludasi, Tamás Sovány

“…Methods: In the present work, a risk assessment-based procedure was developed and completed using ANN-based modeling to enable the design and fabrication of titanate nanotube-based drug delivery systems with desired properties, based on the critical analysis and evaluation of data collected from published articles regarding titanate nanotube preparation using the hydrothermal treatment method. …”
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Caesarean Section Rates and Activity-Based Funding in Northern Norway: A Model-Based Study Using the World Health Organization’s Recommendation by Jan Norum, Tove Elisabeth Svee

“…The World Health Organization (WHO) has recommended a maximum CS rate of 15%. Norwegian hospitals are paid per CS (activity-based funding), employing the diagnosis-related group (DRG) system. …”
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Prevalence of Nonalcoholic Steatohepatitis and Associated Fibrosis Stages Among US Adults Using Imaging-Based vs Biomarker-Based Noninvasive Tests by Jesse Fishman, Tom O'Connell, Christina M. Parrinello, Jonathan J. Woolley, Eric Bercaw, Michael R. Charlton

“…Participants with presumed NAFLD (steatosis and without alternative causes of liver disease) were identified, among whom NASH was predicted based on FAST score, Fibrosis-4 (FIB-4), and AST-to-Platelet Ratio Index (APRI) cutoffs across 11 scenarios. …”
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Improvement in the Accuracy of the Postclassification of Land Use and Land Cover Using Landsat 8 Data Based on the Majority of Segment-Based Filtering Approach by Fajar Yulianto, Gatot Nugroho, Galdita Aruba Chulafak, Suwarsono Suwarsono

“…Three digital classification approaches, namely, maximum likelihood (ML), random forest (RF), and the support vector machine (SVM), were applied to test the improvement in the accuracy of LULC postclassification using the MaSegFil approach, based on annual cloud-free Landsat 8 satellite imagery data from 2019. …”
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Research on a Novel Unsupervised-Learning-Based Pipeline Leak Detection Method Based on Temporal Kolmogorov–Arnold Network with Autoencoder Integration by Hengyu Wu, Zhu Jiang, Xiang Zhang, Jian Cheng

“…Furthermore, the deployment cost of such models has increased substantially due to the use of GPU-trained neural networks in recent years. …”
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The Effectiveness of Project-Based Learning and Problem-Based Learning Models on Students' Mathematical Creative Thinking Abilities Viewed From Learning Motivation by Rahma Lutfiya Khoirun Nisa, Mohammad Waluyo

“…The research sample involves students from class VIII.7 and class VIII.9 of SMP N 2 Rembang, totaling 64 students. The data collection technique applied is through tests. …”
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EEG-based multivariate and univariate analyses reveal the mechanisms underlying the recognition-based production effect: evidence from mixed-list design by Bohua Zhang, Bohua Zhang, Alhassan Abdullah, Minmin Yan, Yongqing Hou, Antao Chen, Helen McLaren

“…Human recognition memory can be divided into recollection (recognition based on complex contextual information) and familiarity (recognition based on a sense of familiarity). …”
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Ptr4BERT: Automatic Semisupervised Chinese Government Message Text Classification Method Based on Transformer-Based Pointer Generator Network by Mingxin Li, Kaiqian Yin, Minghao Wang

“…To address these problems, we propose a semisupervised text classification method based on a transformer-based pointer generator network named Ptr4BERT, which uses the pointer generator network with BERT(bidirectional encoder representation from transformers) embedding as a preprocessor for feature extraction. …”
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Toward a Sense of Place Unified Conceptual Framework Based on a Narrative Review: A Way of Feeding Place-Based GIS by Ahmed Rezeg, Stéphane Roche, Emmanuel Eveno

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Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction by Meenakshi Devi P., Muna A., Yasser Ali, Sumanth V.

“…Results The RPAOSM-ESO-BCDNet-based breast cancer diagnosis model provided 94.5 accuracy rates. …”
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A microstructure-based numerical approach for uniaxial fatigue life-based non-uniaxial fatigue life prediction of hypo-eutectoid steels by Jonghoon Shin, Hyunki Kim, Minwoo Kang, Chungan Lee, Seunghyun Hong, Yoon Suk Choi

“…A numerical methodology was proposed for the microstructure-based prediction of the non-uniaxial fatigue life using the fatigue life prediction model calibrated only by the uniaxial fatigue life data for 44MnSiVS6 hypo-eutectoid steel. …”
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Palette-based image recoloring based on moving least squares(基于移动最小二乘的图像重着色) by 周家伟(ZHOU Jiawei), 黄子康(HUANG Zikang), 彭俊豪(PENG Junhao), 李盛善(LI Shengshan), 刘晓静(LIU Xiaojing), 杜正君(DU Zhengjun)

“…Zhejiang Daxue xuebao. Lixue ban…”
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Enhancing Transient Stability of DFIG-Based Wind Turbine Systems Using Deep Learning-Controlled Resistance-Based Fault Current Limiters by Yaoying Wang

“…MATLAB/Simulink confirms the efficacy of the proposed limiter and algorithm in boosting transient stability for DFIG-based wind energy systems. The study underscores the role of fault current limiters and deep learning in seamlessly integrating renewable energy into power grids.…”
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Physiologically Based Pharmacokinetic and Physiologically Based Biopharmaceutic models research in Latin America: A regional level bibliometric analysis, 2011-2023 by Marx Ribeiro, Juliana Cordeiro Cardoso, José Eduardo Severino Martins, Aline Ferreira Pinto, Eliana Maria Barbosa Souto, Patricia Severino

“…Abstract The landscape of scientific research in Latin America (LA), particularly in the realms of the Physiologically Based Pharmacokinetic (PBPK) and Physiologically Based Biopharmaceutic models (PBPM), is a mosaic of varied contributions, collaborations, and specializations. …”
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