Cross-Project Defect Prediction Using Transfer Learning with Long Short-Term Memory Networks by Hongwei Tao, Lianyou Fu, Qiaoling Cao, Xiaoxu Niu, Haoran Chen, Songtao Shang, Yang Xian

“…This is because LSTM capture long-term dependencies in sequence data and extract features that contain source code structure and context information. …”
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Ischemic heart disease: medical certificate of cause of death analysis by I. V. Samorodskaya, T. K. Chernyavskaya, E. P. Kakorina, V. Yu. Semyonov

“…Aim. According to data from the Moscow Oblast civil registry office in 2020, to analyze medical certificates of cause of death (MCCD), where the code from “Ischemic heart disease” (IHD) (I20-I25) group is indicated as underlying cause of death (UCD).Material and methods. …”
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The MBH–M∗ Relation up to z ∼ 2 through Decomposition of COSMOS-Web NIRCam Images by Takumi S. Tanaka, John D. Silverman, Xuheng Ding, Knud Jahnke, Benny Trakhtenbrot, Erini Lambrides, Masafusa Onoue, Irham Taufik Andika, Angela Bongiorno, Andreas L. Faisst, Steven Gillman, Christopher C. Hayward, Michaela Hirschmann, Anton Koekemoer, Vasily Kokorev, Zhaoxuan Liu, Georgios E. Magdis, Alvio Renzini, Caitlin Casey, Nicole E. Drakos, Maximilien Franco, Ghassem Gozaliasl, Jeyhan Kartaltepe, Daizhong Liu, Henry Joy McCracken, Jason Rhodes, Brant Robertson, Sune Toft

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The value-added model of the supply chain of petrochemical industries with a sustainable development approach by ali amiri, seyed abbas heydari, vahidreza Mirabi

“…To collect and analyze data, Delphi technique was used to identify components. …”
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Stellar Pulsation and Evolution: A Combined Theoretical Renewal and Updated Models (SPECTRUM). I. Updating Radiative Opacities for Pulsation Models of Classical Cepheid and RR-Lyra... by Giulia De Somma, Marcella Marconi, Santi Cassisi, Roberto Molinaro

“…However, achieving consistency in opacity tables between stellar evolution and pulsation codes is a significant step toward a homogeneous and self-consistent stellar evolution and pulsation framework.…”
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Kinetic parameters of the Dalat nuclear research reactor with LEU fuel using MCNP6 and JENDL-5 library by Dau Duc-Tu, Nguyen Nhi-Dien, Nguyen Kien-Cuong, Pham Quang-Huy, Chu Thoi-Nam, Hoang Van-Khanh, Phan Giang T.T., Tran Hoai-Nam

“…Kinetic parameters of the Dalat nuclear research reactor were evaluated using the MCNP6.3 code and a new nuclear data library (JENDL-5). …”
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Pragmatic Risk Stratification Method to Identify Emergency Department Presentations for Alternative Care Service Pathways: Registry-Based Retrospective Study Over 5 Years by John Rong Hao Tay, Yohei Okada, Gayathri Devi Nadarajan, Fahad Javaid Siddiqui, Tomás Barry, Marcus Eng Hock Ong

“…MethodsRetrospective observational data from a database of all visits to the ED of a tertiary care institution for over 5 years (2016-2020) were analyzed. …”
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Abundance Measurements of the Metal-poor M Subdwarf LHS 174 Using High-resolution Optical Spectroscopy by Neda Hejazi, Sébastien Lépine, Thomas Nordlander, Wei-Chun Jao, David R. Coria, Kathryn V. Lester

“…We compare the abundances of O, Ti, and Fe derived from this work and those from previous studies, and demonstrate the observed data are clearly better matched with the synthetic model generated based on our abundances than those from the other analyses. …”
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Computational Modeling of Biomass Fast Pyrolysis in Fluidized Beds with Eulerian Multifluid Approach by Cesar M. Venier, Erick Torres, Gastón G. Fouga, Rosa A. Rodriguez, Germán Mazza, Andres Reyes Urrutia

“…Simplified kinetic schemes consistently underestimated TAR yields by up to 20% and overestimated CHAR and GAS yields compared to experimental data (which is shown for different biomass compositions and different operating conditions) and can be significantly improved by redefining the reaction scheme. …”
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Development and Validation of Digital Twin Behavioural Model for Virtual Commissioning of Cyber-Physical System by Roman Ruzarovsky, Tibor Horak, Roman Zelník, Richard Skypala, Martin Csekei, Ján Šido, Eduard Nemlaha, Michal Kopcek

“…The models identify design flaws, validate the PLC control code, and ensure interoperability across software platforms. …”
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An automated information extraction model for unstructured discharge letters using large language models and GPT-4 by Robert M. Siepmann, Giulia Baldini, Cynthia S. Schmidt, Daniel Truhn, Gustav Anton Müller-Franzes, Amin Dada, Jens Kleesiek, Felix Nensa, René Hosch

“…Anatomical Therapeutic Chemical (ATC) codes were identified with an accuracy of 78.8%. …”
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Exploring post-discharge connection for HIV-infected patients in residential centers: perspectives from experts and patients by Abbas Boosiraz, Sepideh Alizadeh, Tayebeh Amiri, Zohreh Rostam Afshar, Maryam Sargolzayi Moghadam, Shahrzad Ghorbani, Nazanin Shahrokhnia, Sarina Borran, SeyedAhmad SeyedAlinaghi

“…The analysis was conducted using content analysis, which involved categorizing data into main categories, sub-categories, and codes. …”
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Through the eyes of the patients: a qualitative study of diabetes patients’ experiences navigating the healthcare system by P. V. AshaRani, Kumarasan Roystonn, Madhumitha Ramu, Yeow Wee Brian Tan, Fiona Devi, M. Iskander Shah, Peizhi Wang, Sum Chee Fang, Tavintharan Subramaniam, Lee Eng Sing, Lee Eng Sing, Chong Siow Ann, Mythily Subramaniam, Mythily Subramaniam

“…A deductive thematic analysis was adopted for the study with data sufficiency achieved at thirteen interviews.FindingsThemes and codes were organized under three main stages: pre-diagnosis (stage 1), diagnosis and treatment (stage 2), and living with diabetes (stage 3). …”
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Seabed Liquefaction Risk Assessment Based on Wave Spectrum Characteristics: A Case Study of the Yellow River Subaqueous Delta, China by Hongan Sun, Jishang Xu, Zhenhuan Tian, Lulu Qiao, Zhixing Luan, Yaxin Zhang, Shaotong Zhang, Xingmin Liu, Guangxue Li

“…The China Hydrological Code Spectrum (CHC Spectrum) effectively captured the wave characteristics in the study area, with parameterization grounded in measured data. …”
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Early pulmonary rehabilitation recommended decision-making behavior experience among pediatric intensive care unit medical staff: a qualitative study by WenQian Cai, WenQian Cai, WenQian Cai, Meng Li, ChengCheng Li, Mei Li, XiaoKe Zhao, YaHui Zuo, Lu Zhang, YuYing Yang

“…A descriptive qualitative research method was used, and a purposive sampling method was employed to select medical staff from the intensive care unit of a tertiary children's hospital in Nanjing from September to December 2023 for semi-structured interviews. The interview data were coded using the COM-B and TDF frameworks, and analyzed, summarized, and refined using the Colaizzi 7-step method to extract themes.ResultsFour main themes and 13 sub-themes were extracted, including the need for pulmonary rehabilitation knowledge and skills, the experience of implementing pulmonary rehabilitation in critically ill children, communication and collaboration in the PICU rehabilitation platform, and external support for PICU pulmonary rehabilitation.ConclusionIn the process of recommending early pulmonary rehabilitation for critically ill children, departments should help PICU medical staff change their views on pulmonary rehabilitation and acquire relevant knowledge and skills, strengthen multidisciplinary cooperation, optimize external support, and create a good practice environment for the implementation and promotion of early pulmonary rehabilitation for critically ill children.…”
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A High-resolution, Inversion-based Synoptic Study of Solar Granulation by James W. Crowley, Ivan Milić, Gianna Cauzzi, Kevin Reardon

“…Using a homogeneous set of 49 data sets, all taken at the disk center, we analyze the temperature stratification and the line-of-sight velocities of the granules and intergranules over a period of 15 years. …”
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Toward the calibration of 2D thermomechanical simulations of magma poor passive continental margins: method, validation and case example by Perron, Paul, Le Pourhiet, Laetitia, Jourdon, Anthony, Cornu, Tristan, Gout, Claude

“…Introducing heterogeneities into the model does in some cases help to calibrate the simulation results to a geological data from a specific region. Acknowledging structural inheritance as a form of kinematic forcing in the models, and recognizing the challenge of anticipating and identifying all inherited geological structures present before rifting, a new modeling approach was devised. …”
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Respiratory syncytial virus immunization patterns in Germany, 2015–2020 by Moritz Wick, Roman Kliemt, Anahita Poshtiban, Nils Kossack, Gerhard-Paul Diller, Samira Soudani, Mathieu Bangert, Rolf Kramer, Oliver Damm

“…Using routine statutory health insurance claims data including patients from all regions of Germany, we investigated the health-care resource use and costs associated with RSV prophylaxis with palivizumab in Germany. …”
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Dietary fiber intake and hippocampal gray matter volume: an exploratory cross-sectional study in healthy adults by Raghav Pallapothu, Roger D. Newman-Norlund, Makayla Gibson, Pranesh Rajesh Kannan, Sriya Pallapothu, Chris Rorden, Leonardo Bonilha, Julius Fridriksson

“…Hippocampal gray matter volume was quantified using the CAT12 voxel-based morphometry toolbox, using Spearman’s rank order correlation coefficient.ResultsOur exploratory analysis revealed a significant positive correlation between dietary fiber consumption and GMV in the right hippocampus and right parahippocampal gyrus, when controlling for age, race, sex, and median household income within participant zip code. Dietary fiber was also correlated with the MoCA attention/concentration and language subscores.DiscussionThese data are compatible with the hypothesis that dietary fiber may exert neuroprotective effects, and this may have implications for dietary recommendations aimed at reducing the risk of Alzheimer’s disease and related dementias.…”
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Long-acting pre-exposure prophylaxis preferences among pregnant and postpartum women in Kenya: results from a discrete choice experimentAJOG Global Reports at a Glance by Tessa Concepcion, PhD, John Kinuthia, MMed, Felix A. Otieno, BS, Eunita Akim, BSN, Brian P. Flaherty, PhD, Laurén Gómez, MPH, Grace John-Stewart, PhD, Emmaculate M. Nzove, MBA, Nancy Ngumbau, MPH, Jerusha N. Mogaka, PhD, Ben Odhiambo, MPH, Anjuli D. Wagner, PhD, Salphine Watoyi, MPH, Jillian Pintye, PhD

“…We fit effects-coded choice data to a conditional logit model, latent class analysis (LCA) for preference heterogeneity, and univariate multinomial logistic regressions to predict class membership by individual characteristics. …”
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