Inerting Strategy for a Demonstration-Scale Hot Cell Facility Based on Experiences from Pilot-Scale Argon Cell Facility Operation and CFD Analysis by Seungnam Yu, Jaehoon Lim, Ilje Cho, Jonghui Han

“…The results show that the purging flow rate should be accurately predicted, and a variable flow rate should be applied to achieve hot cell inerting effectively. …”
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Association between atherogenic index of plasma and type 2 diabetic complications: a cross-sectional study by Yue-Yang Zhang, Yue-Yang Zhang, Yue-Yang Zhang, Yue-Yang Zhang, Yue-Yang Zhang, Xiao-Yu Yang, Xiao-Yu Yang, Xiao-Yu Yang, Xiao-Yu Yang, Xiao-Yu Yang, Qin Wan, Qin Wan, Qin Wan, Qin Wan, Qin Wan

“…Furthermore, the AIP was not found to be statistically significantly associated with DA, DR,and DPN.ConclusionsThe AIP may serve as a valuable predictive indicator for evaluating kidney damage in patients with type 2 diabetes, and regular screening of AIP in this population could provide significant benefits in the prevention of DKD.…”
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Mendelian randomization analysis does not support a causal influence between lipoprotein(A) and immune-mediated inflammatory diseases by Yun Ti, Dan Xu, Xiaoning Qin, Yang Hu, Yuru Xu, Qingzhao Zhao, Peili Bu, Jingyuan Li

“…However, genetically predicted lipid traits HDL-C was associated with increased risk of Type 1 diabetes (T1D). …”
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A Comparative Study of the In Vitro Intestinal Permeability of Pinnatoxins and Portimine by Rachelle Lanceleur, Vincent Hort, Marion Peyrat, Denis Habauzit, Andrew I. Selwood, Valérie Fessard

“…The experimental results were compared to predictions obtained by QSAR tools. Although only qualitative, our results suggest that some of these compounds may be more likely to be distributed throughout the body. …”
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Habitat suitability modeling for Posidonia oceanica distribution along a Mediterranean region (NW Italy) by Rachele Bordoni, Chiara Paoli, Monica Montefalcone, Alice Oprandi, Ilaria Rigo, Francesca Ruggeri, Paolo Vassallo

“…Explanatory variables included natural factors as well as variables related to human activities along the coastal strip.The HSMs showed high accuracy rates of 82% for P. oceanica on soft bottom and 99% for P. oceanica on rocky bottom. The models predict an increase in P. oceanica meadows on soft bottom, from 2448 ha to 11623 ha, and a modest increase on rocky bottom, from 159 ha to 200 ha. …”
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Simons Observatory: Predeployment Performance of a Large Aperture Telescope Optics Tube in the 90 and 150 GHz Spectral Bands by Carlos E. Sierra, Kathleen Harrington, Shreya Sutariya, Thomas Alford, Anna M. Kofman, Grace E. Chesmore, Jason E. Austermann, Andrew Bazarko, James A. Beall, Tanay Bhandarkar, Mark J. Devlin, Simon R. Dicker, Peter N. Dow, Shannon M. Duff, Daniel Dutcher, Nicholas Galitzki, Joseph E. Golec, John C. Groh, Jon E. Gudmundsson, Saianeesh K. Haridas, Erin Healy, Johannes Hubmayr, Jeffrey Iuliano, Bradley R. Johnson, Claire S. Lessler, Richard A. Lew, Michael J. Link, Tammy J. Lucas, Jeffrey J. McMahon, Jenna E. Moore, Federico Nati, Michael D. Niemack, Benjamin L. Schmitt, Max Silva-Feaver, Robinjeet Singh, Rita F. Sonka, Alex Thomas, Robert J. Thornton, Tran Tsan, Joel N. Ullom, Jeffrey L. Van Lanen, Eve M. Vavagiakis, Michael R. Vissers, Yuhan Wang, Kaiwen Zheng

“…We forecast a sensitivity that exceeds the requirements of the large aperture telescope with greater than 30% margin in each spectral band and predict that the instrument will realize diffraction-limited performance and the expected detector passbands.…”
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The Relationship between Body Mass Index and the Severity of Coronary Artery Disease in Patients Referred for Coronary Angiography by Anne B. Gregory, Kendra K. Lester, Deborah M. Gregory, Laurie K. Twells, William K. Midodzi, Neil J. Pearce

“…Duke Jeopardy Score (DJS), a prognostic tool predictive of 1-year mortality in CAD, was assigned to angiographic data of patients ≥18 years of age (N=8,079). …”
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The anti-cancerous mechanism of licochalcone A on human hepatoma cell HepG2 based on the miRNA omics by Jun Wang, Xiuxiu Zhang, Zhijing Ni, Elnur Elam, Kiran Thakur, Kexin Li, Chuyan Wang, Jianguo Zhang, Zhaojun Wei

“…A sum of 431 targets, the overlap of predicted mRNAs from TargetScan, miRDB, and miRtarbase were detected as the targets for these dysregulated miRNAs. …”
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Characteristics and Prognostic Significance of Preoperative Magnetic Resonance Imaging-Assessed Circumferential Margin in Rectal Cancer by Xiaoji Ma, Xinxiang Li, Linghui Xu, Debing Shi, Tong Tong, Dan Huang, Ying Ding, Sanjun Cai, Junjie Peng

“…Of all the 203 patients, the total accuracy of MRI-assessed CRM for predicting involvement of pCRM was 84.2%, sensitivity was 50%, and specificity was 86.8%. …”
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Cross-Cultural Adaptation and Validation of a Surgical Neonatal Nursing Workload Tool for an Italian Context: The Italian Winnipeg Surgical Complex Assessment of Neonatal Nursing N... by Emanuele Buccione, Floriana Pinto, Alessio Lo Cascio, Viola Palumbo, Kerry Hart, Allison Marchuk, Jessica-Lynn Walsh, Alexandra Howlett, The Italian Neonatal Nursing Workload Study Group, Laura Rasero, Davide Ausili, Stefano Bambi

“…Using an analysis of variance, we found that the higher the I-WANNNT-SC score was, the higher the predicted death rate (F = 13.05 and <i>p</i> < 0.001). …”
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Computational identification and experimental validation of novel Saccharum officinarum microRNAs along with their targets through RT-PCR approach by Abdul Baqi, Samiullah, Jadoon Khan, Asma Sadiq, Yousaf Khan, Shahid Ali, Syed Nadeem ul Hassan Mohani, Naqeebullah Khan, Tawaf Ali Shah, Khalid S. Almaary, Youssouf Ali Younous, Mohammed Bourhia

“…This was accomplished by predicting novel conserved miRNAs in sugarcane plants using a variety of genomics-based techniques like BLASTn, MFOLD, psRNA Target, sequence logo, Weblogo, primer-3, etc. and annotated using miRBase and NCBI. …”
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The Hubble Space Telescope Survey of M31 Satellite Galaxies. IV. Survey Overview and Lifetime Star Formation Histories by Alessandro Savino, Daniel R. Weisz, Andrew E. Dolphin, Meredith J. Durbin, Nitya Kallivayalil, Andrew Wetzel, Jay Anderson, Gurtina Besla, Michael Boylan-Kolchin, Thomas M. Brown, James S. Bullock, Andrew A. Cole, Michelle L. M. Collins, M. C. Cooper, Alis J. Deason, Aaron L. Dotter, Mark Fardal, Annette M. N. Ferguson, Tobias K. Fritz, Marla C. Geha, Karoline M. Gilbert, Puragra Guhathakurta, Rodrigo Ibata, Michael J. Irwin, Myoungwon Jeon, Evan N. Kirby, Geraint F. Lewis, Dougal Mackey, Steven R. Majewski, Nicolas Martin, Alan McConnachie, Ekta Patel, R. Michael Rich, Evan D. Skillman, Joshua D. Simon, Sangmo Tony Sohn, Erik J. Tollerud, Roeland P. van der Marel

“…Satellite luminosity and present-day distance from M31 predict the satellite quenching epoch to within 1.8 Gyr at all epochs. …”
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Advancing Alzheimer's Therapy: Computational strategies and treatment innovations by Jibon Kumar Paul, Abbeha Malik, Mahir Azmal, Tooba Gulzar, Muhammad Talal Rahim Afghan, Omar Faruk Talukder, Samar Shahzadi, Ajit Ghosh

“…Through computational simulations, researchers can predict drug efficacy, optimize lead compounds, and facilitate personalized medicine approaches. …”
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Einasto Profile as the Halo Model Solution Coupled to the Depletion Radius by Yifeng Zhou, Jiaxin Han

“…Coupling the Einasto profile with the depletion catalog, the resulting halo model can simultaneously predict the halo–matter power spectra to 10% and the matter–matter power spectrum to 5%, improving over conventional models in both interpretability and versatility. …”
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Tumor organoids in cancer medicine: from model systems to natural compound screening by Rong Cong, Can Lu, Xinying Li, Zhijie Xu, Yaqin Wang, Shusen Sun

“…Articles related to agriculture, ecology, synthetic work or published in languages other than English were excluded.Results and conclusions The review identifies key challenges related to the efficiency and variability of organoid generation and discusses ongoing efforts to enhance their predictive capabilities in drug screening and personalized medicine. …”
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Combined semiquantitative nail-enthesis complex ultrasonography and capillaroscopy in psoriasis and psoriatic arthritis by Giacomo Cafaro, Roberto Bursi, Valentina Valentini, Katharina Hansel, Carlo Perricone, Vincenzo Venerito, Onelia Bistoni, Manuela Sebastiano, Fabiana Topini, Luca Stingeni, Roberto Gerli, Elena Bartoloni

“…These findings advocate for further exploration in prospective trials, potentially predicting the evolution of undifferentiated early arthritis and arthritis onset in PSO patients.…”
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Liquid biopsy approaches to capture tumor evolution and clinical outcomes during cancer immunotherapy by Susan Scott, Mark Sausen, Valsamo Anagnostou, Jennifer Jackson, Vincent Lam, Joseph C Murray, Lavanya Sivapalan, Jenna Vanliere Canzoniero, Blair Landon, Benjamin P. Levy

“…Clinical applications of ctDNA testing in patients treated with immune checkpoint inhibitors have shown both predictive and prognostic value through the detection of genomic biomarkers, such as tumor mutational burden and microsatellite instability, as well as allowing for real-time monitoring of circulating tumor burden and the assessment of early on-therapy responses. …”
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Rheopheresis in treatment of idiopathic sensorineural sudden hearing loss by Milan Kostal, Jakub Drsata, Milan Bláha, Miriam Lánská, Viktor Chrobok

“…In spite of this, there was a significant improvement for patients in the rheopheretic arm (27% of hearing loss reduction, p < 0.001) after the 1st month and this remained unchanged during the 1st year, while no improvement was seen in the MicroWick arm (0% of hearing loss reduction, p = 0.424). We found no predictive factor for steroid-failure in first-line therapy. …”
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Divergence in the Morphology and Energy Metabolism of Adult Polyphenism in the Cowpea Beetle <i>Callosobruchus maculatus</i> by Zhong Du, Xiaokun Liu, Sipei Liu, Lei Jiang, Le Zong, Wenjie Li, Weili Fan, Lijie Zhang, Fengming Wu, Siqin Ge

“…Understanding these mechanisms is crucial for predicting the dispersal and population dynamics of <i>C. maculatus</i>. …”
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Drug-Induced Liver Injuries (Clinical Guidelines for Physicians) by Vladimir T. Ivashkin, Andrey Yu. Baranovsky, Karina L. Raikhelson, Lyudmila K. Palgova, Marina V. Maevskaya, Elina A. Kondrashina, Natalya V. Marchenko, Tatyana P. Nekrasova, Igor G. Nikitin

“…Dose-dependent and predictable (hepatotoxic), as well as dose-independent and unpredictable (idiosyncratic) DILI forms are described in detail, which information has a particular practical significance. …”
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