Impact of trapping on tritium self-sufficiency and tritium inventories in fusion power plant fuel cycles by Samuele Meschini, Rémi Delaporte-Mathurin, George R. Tynan, Sara E. Ferry

“…The results show an increase of a factor $10^3 - 10^4$ of tritium inventory in the first wall and vacuum vessel of an ARC-class FPP when accounting for the aforementioned phenomena. …”
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WDRIV-Net: a weighted ensemble transfer learning to improve automatic type stratification of lumbar intervertebral disc bulge, prolapse, and herniation by Ichiro Nakamoto, Hua Chen, Rui Wang, Yan Guo, Wei Chen, Jie Feng, Jianfeng Wu

“…We devised a weighted transfer learning framework WDRIV-Net by ensembling four pre-trained models including Densenet169, ResNet101, InceptionV3, and VGG19. The proposed approach was applied to the clinical data and achieved 96.25% accuracy, surpassing the benchmark ResNet101 (87.5%), DenseNet169 (82.5%), VGG19 (88.75%), InceptionV3 (93.75%), and other state-of-the-art (SOTA) ensemble deep learning models. …”
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The impact of copper additive content on the synthesis of SiC from rice husks by Kieu Do Trung Kien, Huynh Ngoc Minh

“…The synthesized SiC exhibited both α -SiC and β -SiC allotropic forms, contributing to improved mechanical strength and heat resistance of the material.…”
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Making respiratory care safe for neonatal and paediatric intensive care unit staff: Mitigation strategies and use of filters by Bradley G Carter, Edward Harcourt, Alexandra Harris, Michael Zampetti, Trevor Duke, David Tingay

“…This report describes the experiences from the SARS-CoV-2 pandemic to provide a reference framework that can be applied generally. …”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

“…In addition, other models such as SVM, GPR and LRM was evaluated using eight criteria. …”
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Developed a solar still unit for saltwater desalination: numerical prediction and performance verification by Ayman Ibrahim, Nahed El Mahallawy, Islam Elsebaee, Hebatullah Megahed, Galal Aboelasaad, Abdelalim El-Bediwy, Osama Dewedar

“…A four-inclined SBSS was fabricated and examined experimentally according to numerical model findings for best design parameters at Marsa Matrouh, 31° 21′ 10.44″N, 27°14′14.10″ E, Agricultural Station—Agricultural Research Center (ARC), Egypt. The hourly experimental results are compared with the numerical results. …”
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Integrative analysis of anoikis-related prognostic signature to evaluate the immune landscape and predict therapeutic response in stomach adenocarcinoma by Ziyi Zhou, Lanlan Yang, Yuan Fang, Rongzhong Xu, Xi Wang, Yuli Wang, Zhihong Fang

“…Nomograms were created based on risk characteristics in combination with clinical variants and the performance of the model was validated with time-dependent AUC, calibration curves, and decision curve analysis (DCA). …”
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Multiphoton imaging-based quantifiable collagen signatures for predicting outcomes in patients with pancreatic ductal adenocarcinoma by Xiwen Chen, Jikui Miao, Xingxin Huang, Xiahui Han, Liqin Zheng, Jianxin Chen, Linying Chen, Lianhuang Li

“…Our statistical results demonstrate that as two new optical biomarkers, TACS- and M-TACS-score, are independent prognostic factors and have good discriminatory ability (high AUC) as well as risk stratification (high HR) comparing with traditional clinical model (combining seven clinical risk factors, age, sex, TNM stage, tumor location and differentiation, perineural and lymph-vascular invasion) in predicting overall survival (OS) of patients with PDAC, highlighting their potential prognostic and predictive value. …”
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Extensional forearc structures at the transition from Alaska to Aleutian Subduction Zone: slip partitioning, terranes and large earthquakes by Kahrizi, Amin, Delescluse, Matthias, Chamot-Rooke, Nicolas, Pubellier, Manuel, Bécel, Anne, Shillington, Donna, Nedimović, Mladen, Bulois, Cédric

“…We infer that the trench parallel Unimak Ridge, associated with the 1946 Mw 8.6 tsunami earthquake, is the last expression of terrane sutures reactivation before their westward vanishing in the more recent Aleutian arc.…”
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The minimal clinically important difference of the Participation Measurement Scale in chronic stroke by Oyéné Kossi, Soraia M. Silva, Francesco Lena, Mendinatou Agbetou, Thierry Adoukonou, Peter Feys, Félix Nindorera

“…The area under the curve (AUC) for the receiver operating characteristic (ROC)-analysis was 0.74 yielding an estimated MCID of 1.98 logit for the PM-Scale. …”
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Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema by Anwesa Mondal, Apurba Nandi, Subhasish Pramanik, Lakshmi Kanta Mondal

“…This study utilized a Hybrid Deep Learning model that achieved an 85% accuracy, with additional metrics including precision, recall, and the area under the receiver operating characteristic curve (AUC-ROC) confirming its robustness and reliability. …”
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Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models by Zheng Han

“…FedGAT—DCNN performs best on highly imbalanced datasets with a high Area under the Receiver Operating Characteristic Curve (ROC-AUC) score. FedAVG-DWA provides the best performance in different clients’ systems. …”
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Unraveling the heterogeneity of WHO grade 4 gliomas: insights from clinical, imaging, and molecular characterization by Haihui Jiang, Xijie Wang, Xiaodong Chen, Shouzan Zhang, Qingsen Ren, Mingxiao Li, Ming Li, Xiaohui Ren, Song Lin, Yong Cui

“…The predictive model for A4, incorporating age, tumor margin, and CnCE, achieved an AUC of 0.890 in the training set and 0.951 in the validation set. …”
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Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset by Omid Kohandel Gargari, Mobina Fathi, Shahryar Rajai Firouzabadi, Ida Mohammadi, Mohammad Hossein Mahmoudi, Mehran Sarmadi, Arman Shafiee

“…SVM and ADA emerged as top performers with the highest area under the curve (AUC) scores of 0.72 and 0.71, respectively. …”
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Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma. by Md Al Mehedi Hasan, Md Maniruzzaman, Jie Huang, Jungpil Shin

“…Individual combined DEGs (icDEGs) were identified from each platform and then determined grand combined DEGs (gcDEGs) from icDEGs of all platforms. …”
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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…The findings introduce a plasma protein panel consisting of A2Macro, BNP, BTC, PPP, and PYY proteins for diagnosing AD. This panel achieved a sensitivity of 88.88%, a specificity of 66.66%, and an AUC of 0.85. …”
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Dinámicas demográficas de la población rural cubana: desigualdades territoriales en el periodo 2006-2021 by Mercedes de los Ángeles Rodríguez Rodríguez, Manuel Ramón González-Herrera, Cecilia Santana-Rivero

“…Se realizaron análisis de estadística descriptiva y un análisis de conglomerados (software SPSS), así como el análisis espacial y representación cartográfica utilizando el software ArcGIS. Como resultado se comprueban profundas transformaciones en las dinámicas demográficas de Cuba con marcadas brechas entre las zonas rurales y urbanas, se reconocen importantes cambios poblacionales en sus municipios, así como una fuerte movilidad interna en el periodo de 2006 al 2021 con significativas desigualdades; y se establecen cuatro grupos de entidades administrativas explicativas de la diferenciación territorial cubana. …”
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Multimodal fusion model for diagnosing mild cognitive impairment in unilateral middle cerebral artery steno-occlusive disease by Ziyi Yuan, Zhaodi Huang, Chaojun Li, Shengrong Li, Qingguo Ren, Xiaona Xia, Qingjun Jiang, Daoqiang Zhang, Qi Zhu, Xiangshui Meng, Xiangshui Meng

“…The accuracy, recall, sensitivity, and F1-score were higher than those of the other methods, as was the diagnostic efficacy (AUC = 0.9149).ConclusionThe multimodal FBN and SBN topological feature fusion technique, which incorporates rs-fMRI, DTI, 3D-T1WI, and demographic characteristics, obtains the most discriminative features of MCI in patients with unilateral MCA steno-occlusive disease and can effectively identify disease-related brain areas and connections. …”
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Personalized treatment strategies for breast adenoid cystic carcinoma: A machine learning approach by Sakhr Alshwayyat, Mahmoud Bashar Abu Al Hawa, Mustafa Alshwayyat, Tala Abdulsalam Alshwayyat, Siya sawan, Ghaith Heilat, Hanan M. Hammouri, Sara Mheid, Batool Al Shweiat, Hamdah Hanifa

“…A validation method incorporating the area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to validate the accuracy and reliability of ML models. …”
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LEVEL OF PROCALCITONIN PLASMA AS AN EARLY SEPSIS BIOMARKER IN POLYTRAUMA PATIENTS IN DR HASAN SADIKIN GENERAL HOSPITAL BANDUNG by Ricky Wibowo, Hermawan Nagar Rasyid, Darmadji Ismono

“…Based on receiver operating characteristic (ROC) curve showed the level of procalcitonin was given in the area under curve (AUC) 0.96 with Confidence Interval 0.923-1.00 (p < 0.05). …”
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