Multi-Task Learning for Real-Time BSIM-CMG Parameter Extraction of NSFETs With Multiple Structural Variations by Seunghwan Lee, Seungjoon Eom, Jinsu Jeong, Junjong Lee, Sanguk Lee, Hyeok Yun, Yonghwan Ahn, Rock-Hyun Baek

“…To mitigate overfitting due to disparate data sources, such as Monte Carlo simulations for training data and technology computer-aided design (TCAD) simulations or hardware measurements for test data, additive noise was incorporated into the training data. …”
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Development and validation of a postoperative prognostic model for hormone receptor positive early stage breast cancer recurrence by Ruixin Pan, Haoting Shi, Yiqing Shen, Xue Wang, Shi Zhao, Nan Zhang, Xueyan Zhang, Shuwen Dong, Chao Hu, Jiayi Wu, Weimin Chai, Xiaosong Chen, Kunwei Shen

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Bioelectrical impedance vector analysis in older adults: reference standards from a cross-sectional study by Francesco Campa, Giuseppe Annunziata, Luigi Barrea, Alessandro Sampieri, Chiara Ceolin, Chiara Ceolin, Marina De Rui, Francesco Sguaizer, Cristian Petri, Fabrizio Spataro, Gabriele Mascherini, Margherita Micheletti Cremasco, Giuseppe Sergi, Tatiana Moro, Antonio Paoli

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Etrinabdione (VCE-004.8), a B55α activator, promotes angiogenesis and arteriogenesis in critical limb ischemia by Adela García-Martín, María E. Prados, Isabel Lastres-Cubillo, Francisco J. Ponce-Diaz, Laura Cerero, Martin Garrido-Rodríguez, Carmen Navarrete, Rafael Pineda, Ana B. Rodríguez, Ignacio Muñoz, Javier Moya, Antonella Medeot, José A. Moreno, Antonio Chacón, José García-Revillo, Eduardo Muñoz

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Associations of metals with hemoglobin and anemia in a Chinese early adolescent cohort by Mengyuan Yuan, Ting Tang, Yonghan Li, Xinhui Wang, Cong Wang, Xueying Zhang, Yichao Huang, Fangbiao Tao, Gengfu Wang, Daomin Zhu, Feng Geng, Puyu Su

“…Additionally, quantile g-computation (qgcomp) and Bayesian kernel machine regression (BKMR) were used to analyze the effects of metal mixture. …”
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Longitudinal Body Composition Identifies Hepatocellular Carcinoma With Cachexia Following Combined Immunotherapy and Target Therapy (CHANCE2213) by Zhi‐Cheng Jin, Jia‐Wei Zhou, Jian‐Jian Chen, Rong Ding, Bernhard Scheiner, Si‐Na Wang, Hai‐Liang Li, Qing‐Xia Shen, Qing‐Yun Lu, Yi Liu, Wei‐Hua Zhang, Biao Luo, Hai‐Bin Shi, Ming Huang, Ye‐Ming Wu, Chun‐Wang Yuan, Ming‐Sheng Huang, Jia‐Ping Li, Jian‐Bing Wu, Xiao‐Li Zhu, Bin‐Yan Zhong, Hai‐Feng Zhou, Yu‐Qing Wang, Shan‐Zhi Gu, Zhi‐Yi Peng, Chuan‐Sheng Zheng, Rui‐Bao Liu, Guo‐Hui Xu, Wei‐Zhu Yang, Ai‐Bing Xu, Dong‐Fang Liu, Xiaolong Qi, Yee Hui Yeo, Hai‐Dong Zhu, Yang Zhao, David J. Pinato, Fanpu Ji, Gao‐Jun Teng

“…BC measurements including skeletal muscle mass (SMM) and total adipose tissue area (TATA) were evaluated by computed tomography at the third lumbar vertebra at baseline and follow‐up imaging. …”
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Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischem... by Hu X, Qi D, Li S, Ye S, Chen Y, Cao W, Du M, Zheng T, Li P, Fang Y

“…Model performance was evaluated using receiver operating characteristic (ROC) curves and heatmap visualization. …”
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Bayesian Ensemble Model with Detection of Potential Misclassification of Wax Bloom in Blueberry Images by Claudia Arellano, Karen Sagredo, Carlos Muñoz, Joseph Govan

“…In experiment 2, the metrics for detecting potential misclassifications were evaluated and compared with similar techniques derived from the literature. …”
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Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial by Ariana Kamberi, Benjamin Weitz, Julie Flahive, Julianna Eve, Reem Najjar, Tara Liaghat, Daniel Ford, Peter Lindenauer, Sharina Person, Thomas K Houston, Megan E Gauvey-Kern, Jackie Lobien, Rajani S Sadasivam

“… BackgroundIndividuals who are socioeconomically disadvantaged have high smoking rates and face barriers to participating in smoking cessation interventions. Computer-tailored health communication, which is focused on finding the most relevant messages for an individual, has been shown to promote behavior change. …”
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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation by Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

“…Univariate and multivariate regression analyses were used to evaluate the prognostic significance of the risk score generated by the optimal model. …”
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Design and Technological Aspects of Integrating Multi-Blade Machining and Surface Hardening on a Single Machine Base by Vadim Skeeba, Vladimir Ivancivsky, Aleksey Chernikov, Nikita Martyushev, Nikita Vakhrushev, Kristina Titova

“…The microhardness of the hardened surface layer of the parts was evaluated on a Wolpert Group 402MVD. <i>Results and discussion.…”
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Study of the earthquakes source parameters, site response, and path attenuation using P and S-waves spectral inversion, Aswan region, south Egypt by Saadalla Hamada, Qaysi Saleh, Hayashida Takumi, Hamada Mona

“…The advanced earthquake’s source parameters (seismic moment, corner frequency, moment magnitude, and static stress drop and source radius) and its scaling relations are computed using the converted windows of P- and S-waves. …”
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Quantitative estimate of several sources of uncertainty in drone-based methane emission measurements by T. H. Mohammadloo, M. Jones, B. van de Kerkhof, K. Dawson, B. J. Smith, S. Conley, A. Corbett, A. Corbett, R. IJzermans

“…Typical implementations use the “mass balance method” to quantify emissions, with a high-precision methane sensor mounted on a quadcopter drone flying in a vertical curtain pattern; the total mass emission rate can then be computed post hoc from the measured methane concentration data and simultaneous wind data. …”
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Youth Culturally adapted Manual Assisted Problem Solving Training (YCMAP) in Pakistani adolescent with a history of self-harm: protocol for multicentre clinical and cost-effectiven... by Maria Panagioti, Jonathan Green, Anita Patel, Richard Emsley, Tinevimbo Shiri, Keith Hawton, Shilpa Aggarwal, Thomas Mason, Sarah Edwards, Mima Simic, Christopher Williams, Nusrat Husain, Peter Taylor, Farooq Naeem, Moin Ahmad Ansari, Andrew Beck, Nasim Chaudhry, Aaron Poppleton, Zainab Zadeh, Rakhshi Memon, Sehrish Tofique, Imran B Chaudhry, Tayyeba Kiran, Mohsin Hassan Alvi, S Ananiadou, Saadia Aseem, Sumira Alam, Erminia Colucci, Kate Davidson, Anil Gumber, Farhat Jafri, Ayesha Khaliq, Ann Mcreath, Ayesha Minhas, Haider Ali Naqvi, Amna Noureen, Sarwat Sultan, Asad Tamizuddin Nizami, Shehla Naeem Zafar

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Modelling the liver’s regenerative capacity across different clinical conditions by Anh Thu Nguyen-Lefebvre, Soumita Ghosh, Cristina Baciu, Bima J. Hasjim, Sara Naimimohasses, Graziano Oldani, Elisa Pasini, Michael Brudno, Nazia Selzner, Jeffrey Wrana, Mamatha Bhat

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Development and validation of a multimodal automatic interictal epileptiform discharge detection model: a prospective multi-center study by Nan Lin, Lian Li, Weifang Gao, Peng Hu, Gonglin Yuan, Heyang Sun, Fang Qi, Lin Wang, Shengsong Wang, Zi Liang, Haibo He, Yisu Dong, Zaifen Gao, Xiaoqiu Shao, Liying Cui, Qiang Lu

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MRI-based intra-tumoral ecological diversity features and temporal characteristics for predicting microvascular invasion in hepatocellular carcinoma by Yuli Zeng, Huiqin Wu, Yanqiu Zhu, Chao Li, Dongyang Du, Yang Song, Sulian Su, Jie Qin, Guihua Jiang, Guihua Jiang, Guihua Jiang

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Dietary intake of polycyclic aromatic hydrocarbons (PAHs) and breast cancer risk: Evidence from the French E3N-Generations prospective cohort by Amina Amadou, Delphine Praud, Chloé Marques, Hwayoung Noh, Pauline Frenoy, Arnaud Vigneron, Thomas Coudon, Floriane Deygas, Gianluca Severi, Béatrice Fervers, Francesca Romana Mancini

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Blue light-emitting diode phototherapy presents in vitro efficacy against distinct Leishmania species and is therapeutic against tegumentary leishmaniasis in BALB/c mice by Breno Luiz Pimenta, Breno Luiz Pimenta, Daniela Pagliara Lage, Camila Simões de Freitas, Danniele Luciana Vale, Karolina Oliveira de Melo Falcão, Saulo Samuel Gonçalves Dias, Raquel Soares Bandeira Câmara, Isabela Amorim Gonçalves Pereira, Ana Luiza Silva, Lauro de Assis Duarte Júnior, Lauro de Assis Duarte Júnior, Miguel Angel Chavez-Fumagalli, Rodrigo Fernando Bianchi, Eduardo Antonio Ferraz Coelho, Eduardo Antonio Ferraz Coelho, André Talvani, André Talvani

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Factors affecting the design of the management dashboard framework with an emphasis on the components of human resources productivity by Hassan Barmaki, Farshad Faezy Razi, Ehtesham Rashidi

“…Of course, today, productivity is considered beyond a standard and as a culture and attitude to work and life, and according to economists and management thinkers, its improvement provides the main basis for economic development (Philip, 2017).Definition of organizational dashboardOrganizational dashboards are very suitable tools for graphically displaying evaluations. Today, many softwares have been created to provide organizational dashboards that can communicate with various databases and display the results of information graphically while performing computational operations (Su, 2020). …”
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