Monitoring and deformation of deep excavation engineering based on DFOS technology and hybrid deep learning by Yanli Peng, Jie Zhao, Yijiang Fan, Cheng Fan

“…This study proposes a combined neural network model integrating a Convolutional Neural Network, Long Short-Term Memory network, and Self-Attention Mechanism (CNN–LSTM–SAM), which utilizes time-series monitoring data as input. The CNN–LSTM–SAM model merges the data feature extraction capabilities of CNN, the long-term memory function of LSTM, and the information weighting capacity of the self-attention mechanism, synthesizing the advantages of various deep excavation displacement prediction models to enhance prediction accuracy and provide more effective support for construction practice. …”
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Medium-Chain Acyl-CoA Deficiency: Outlines from Newborn Screening, In Silico Predictions, and Molecular Studies by Serena Catarzi, Anna Caciotti, Janita Thusberg, Rodolfo Tonin, Sabrina Malvagia, Giancarlo la Marca, Elisabetta Pasquini, Catia Cavicchi, Lorenzo Ferri, Maria A. Donati, Federico Baronio, Renzo Guerrini, Sean D. Mooney, Amelia Morrone

“…Biochemical acylcarnitines data obtained through newborn screening by liquid chromatography-tandem mass spectrometry (LC-MS/MS) were confirmed by molecular analysis of the medium-chain acyl-CoA dehydrogenase (ACADM) gene. …”
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Mechanisms of sorafenib-induced cardiotoxicity: ER stress induces upregulation of ATF3, leading to downregulation of NDUFS1 expression and mitochondrial dysfunction by Ming Yan, Ming Yan, Ming Yan, Cheng Peng, Cheng Peng, Xueyan Lang, Xueyan Lang, Yilan Li, Yilan Li, Yao Zhang, Yao Zhang

“…Transcriptome data highlighted activating transcription factor 3 (ATF3) as the most prominently induced gene post-treatment. …”
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Bayesian modeling reveals metabolite‐dependent ultrasensitivity in the cyanobacterial circadian clock by Lu Hong, Danylo O Lavrentovich, Archana Chavan, Eugene Leypunskiy, Eileen Li, Charles Matthews, Andy LiWang, Michael J Rust, Aaron R Dinner

“…Analysis of the fits consistently reveals an ultrasensitive response for KaiC phosphorylation as a function of KaiA concentration, which we confirm experimentally. …”
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Preoperative anemia is associated with prolonged hospital stay and increased facility discharges after glioblastoma resection by Ahmad K. Almekkawi, Ammar Adenwalla, James P. Caruso, William H. Hicks, Benjamin Rail, Carlos A. Bagley, Jonathan D. Breshears, Tarek Y. El Ahmadieh, Tomas Garzon-Muvdi, Samuel A. Goldlust

“…Identifying predictors of survival and recurrence is an essential strategy for guiding treatment decisions, and existing literature demonstrates associations between hematologic data and clinical outcomes in cancer patients. As such, we provide a novel analysis that examines associations between preoperative hematologic data and postoperative outcomes following GBM resection.MethodsWe performed a retrospective analysis of patients who underwent GBM resection from January 2016 to December 2020. …”
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FSTL-1 as a Novel Cardiokine of Cardiac Angiogenesis: A Systematic Review by Karisa P, Sylviana N, Fitria N, Setiawan S

“…The risk of bias was assessed using SYRCLE risk of bias tool, and data were synthesized to evaluate the impact of FSTL1 on cardiac angiogenesis.Results: A total of 5 animal studies were included during the analysis. …”
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Kinetics of the amino acid uptake tracer O-(2-[18F]fluoroethyl)-L-tyrosine (FET) in human brain by Korbinian Krieger, Thomas Pyka, Clemens Mingels, Hasan Sari, Albert Gjedde, Axel Rominger, Paul Cumming

“…While its high tumoral uptake reflects over-expression of the L-type amino acid transporter (LAT1), there is little knowledge about the kinetics of [18F]FET uptake in healthy brain tissue, owing to the limited PET data in healthy volunteers, and to the requirement of an arterial input function for compartmental analysis. …”
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Liposomal Nanoparticle Delivery of Ginkgo Flavone Glycosides Enhances SIRT1 Activation and Improves Diabetic Cardiomyopathy by Gao W, Chen R, Tong H, Wang Y, Liang L, Li Y, Yu H

“…Various evaluations, including body weight, blood glucose levels, and cardiac function, were performed. Network pharmacology, transcriptomic analysis, and molecular docking studies were conducted to elucidate the key role of SIRT1 in inhibiting DCM progression. …”
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Comparison of bioabsorbable screw versus metallic screw fixation for tibial tubercle fractures in adolescents: a retrospective cohort study by Tian Chen, Yuwei Wen, Danjiang Zhu, Wei Feng, Baojian Song, Qiang Wang

“…Knee joint function was evaluated using the Lysholm and Tegner scores. …”
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Examining acquired brain injury-associated symptoms and fluid-based biomarkers in females surviving intimate partner violence: An observational pilot study protocol by Michelle Patch, Allison Jacobi-Dorbeck, Tamar Rodney, Gabor Kelen, Jacquelyn C Campbell, Leah H Rubin, Chelsea Wagner, Nancy Perrin, Jessica Gill

“…Screening procedures will identify eligible participants, followed by consent procedures, biosample collection, brain injury and IPV history survey administration, symptom and cognitive function instrument administration, and acute medical record data collection. …”
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[Pd(<i>dach</i>)Cl₂] Complex Targets Proteins Involved in Ribosomal Biogenesis, and RNA Splicing in HeLa Cells by Vanja Ralić, Katarina Davalieva, Branislava Gemović, Milan Senćanski, Maja D. Nešić, Jelena Žakula, Milutin Stepić, Marijana Petković

“…This study aims to investigate the effect of the Pd(II) complex on HeLa cells using computational biology and proteomic analysis. [Pd(<i>dach</i>)Cl₂]-treated HeLa cells were subjected to comparative proteomics analysis using label-free data-independent liquid chromatography-tandem mass spectrometry (LC-MS/MS). …”
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Prediction of permeability and effective porosity values using ANN in Maleh field by Mohammed Essa Nassani, Ali Alaji

“…The network was optimized with a learning rate of 0.05, a momentum coefficient of 0.95, and the LOGSIG activation function, applied across layers. Input values were normalized to the range of 0 to 1, and training was performed using the sequential forward backpropagation algorithm (newcf). …”
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Comparison of theoretical and experimental investigation of protonation process of some thiones in acid media by Mirjana S. Jankulovska, Vesna Dimova, Ilinka Spirevska, Milena Jankulovska

“…The dissociation constants of protonated forms (pKBH + ) and the solvation parameter m* values were calculated in accordance with "excess acidity" function method (Cox and Yates) using the absorbance data from the experimental and reconstructed spectra (Characteristic Vector Analysis (CVA)). …”
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Seismometer Health Diagnosis Based on Cross Spectral Density Coherence Method in Indonesia Seismic Networks by Miftahul Jannah, Risa Annisa, Adhi Harmoko Saputro, Titik Lestari

“…While seismometers are essential for tracking seismic activity, environmental factors, aging components, and external interference can cause seismometers to function worse over time. This study presents a seismometer health diagnosis technique based on seismic signal analysis, including signal truncation, signal resampling, filtering, and deconvolution of instrument response. …”
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In Silico Study of Mercury Resistance Genes Extracted from Pseudomonas spp. Involved in Bioremediation: Understanding the Promoter Regions and Regulatory Elements by Duguma Dibbisa, Gobena Wagari

“…The EXPREG output of the 11 TFs with varying degrees of function such as activation, repression, transcription, and dual purposes was thoroughly examined. …”
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Excitation-Dependent Fluorescence Quantum Yield for Freshwater Chromophoric Dissolved Organic Matter from Northern Russian Lakes by Svetlana Patsaeva, Daria Khundzhua, Oleg A. Trubetskoj, Olga E. Trubetskaya

“…In addition, these data are very useful for understanding the CDOM function in the environment.…”
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Risk Factors for Pulmonary Tuberculosis in an Urban Area of Algeria by Sabrina Abderrahim, Samya Taright

“…Background: Algeria and North Africa have limited data on tuberculosis (TB) risk factors. In addition, pretreatment assessments often do not include fasting blood glucose or renal function tests. …”
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Economics of Plantain Production among Farmers in Northeast Nigeria by Love Joel, Abubakar Alhaji Umaru Jongur, Elizabeth Femi Adebayo, Amurtiya Michael

“…In the analysis of the data, descriptive statistics and a stochastic frontier model were used. …”
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Development of Advanced Machine Learning Models for Predicting CO₂ Solubility in Brine by Xuejia Du, Ganesh C. Thakur

“…Using a comprehensive database of 1404 experimental data points spanning temperature (−10 to 450 °C), pressure (0.098 to 140 MPa), and salinity (0.017 to 6.5 mol/kg), the research evaluates the predictive capabilities of five ML algorithms: Decision Tree, Random Forest, XGBoost, Multilayer Perceptron, and Support Vector Regression with a radial basis function kernel. …”
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An Investigation of The Dominant Themes In Online Political Leadership Campaigns: A Case Study Of The OBIdient Campaign Discourse on X by Lily Chimuanya, Chika Tagbo, Samuel Owoeye

“… Background: The persuasive function of language is perhaps most evident in political campaigns. …”
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