Characterising the dynamics of cerebral metabolic dysfunction following traumatic brain injury: A microdialysis study in 619 patients. by Mathew R Guilfoyle, Adel Helmy, Joseph Donnelly, Matthew G Stovell, Ivan Timofeev, John D Pickard, Marek Czosnyka, Peter Smielewski, David K Menon, Keri L H Carpenter, Peter J Hutchinson

“…Microdialysis is an invasive monitor that permits real-time assessment of derangements in cerebral metabolism and responses to treatment. …”
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Toward New Assessment in Sarcoma Identification and Grading Using Artificial Intelligence Techniques by Arnar Evgení Gunnarsson, Simona Correra, Carol Teixidó Sánchez, Marco Recenti, Halldór Jónsson, Paolo Gargiulo

“…Diagnosis traditionally relies on expert visual interpretation of histopathological biopsies and radiological imaging, processes that can be time-consuming, subjective and susceptible to inter-observer variability. …”
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Employing a Carbon-Based Nanocomposite as a Diffusive Solid-Phase Extraction Adsorbent for Methamphetamine for Therapeutic Purposes by K. Lakshmi Kala, G. Anbuchezhiyan, Kavitha Pingili, Pradeep Kumar Singh, V. M. Vel, Kareem Yusuf, Ahmed Muteb Aljuwayid, Md Ataul Islam, David Christopher

“…As for detecting and quantifying equipment, HPLC monitors are being used. 300 mL methanol, 7 min extracting and desorption duration, 5000 mixing frequency, urinary pH value of 20, 40 mg adsorption, and 5 mL amount of urine were the optimal extraction variables. …”
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Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia by Pakiza Amin, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, Naeem Ramzan

“…In particular, the results of the Hybrid Soft Stacking Model look quite convincing in terms of predictive value, so the model could be considered a useful tool in the clinical context.…”
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Rating Supply Chain Risks Using the Combined Approach of FMEA Optimization and Gray Theory (Case Study: Mashhad Food Industry Units) by Mohsen Shafiei Nikabadi, Leila Helalian

“…Purpose: The ranking of supply chain risks using a combined approach is to optimize the method of analyzing failure factors and their effects and gray theory in Mashhad food industry units.Methodology: Due to its nature, the present research belongs to the category of descriptive-analytical researches, with qualitative variables, and from the point of view of the objective, it belongs to the category of applied researches. …”
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Structural Similarity-Guided Siamese U-Net Model for Detecting Changes in Snow Water Equivalent by Karim Malik, Colin Robertson

“…Using our Si-UNet, we found that interannual SWE declined steadily from 1979 to 2018, with March being the month in which the most significant changes occurred (<i>R</i>² = 0.1, <i>p</i>-value < 0.05). We conclude with a discussion on the implications of the findings from our study of snow dynamics and climate variables using gridded SWE data, computer vision metrics, and fully convolutional deep neural networks.…”
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Predicting asphaltene precipitation during natural depletion of oil reservoirs by integrating SARA fractions with advanced intelligent models by Behnam Amiri-Ramsheh, Sara Sahebalzamani, Reza Zabihi, Abdolhossein Hemmati-Sarapardeh

“…Besides, all developed models in this study could forecast asphaltene precipitation values with an absolute error of less than 10%. Also, trend assessment indicated that predicted output values by the LightGBM paradigm have a satisfactory agreement with actual asphaltene precipitation values. …”
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The Role of Open-Source Data in Disaster Preparedness and Response. A Case Study on Flood Impact in Local Communities by A. Oyetunde, G. Neziri

“…Nonetheless, the study faced limitations due to variability in spatial resolution and restricted access to high-quality spectral data. …”
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Efficient recovery of phosphorus from phosphogypsum leachate based on struvite precipitation by MA Jingfeng, WU Xiang, FANG Haoyuan, MEI Ke, JIANG Shan, ZHU Shujing*

“…The study involved three variables: Mg/P molar ratio, N/P molar ratio, and pH. …”
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Prognosis of RUNX1-RUNX1T1 Rearrangement in Newly Diagnosed Acute Myeloid Leukemia Patients by Halima Babar, Hamid Saeed Malik, Muhammad Umar, Zahra Tasleem, Nazish Tahir

“…Statistical significance was observed in TLC (p-value < 0.001), Hb (p= 0.001), and platelet count(p=0.001) levels. …”
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Comparing machine learning approaches for estimating soil saturated hydraulic conductivity. by Ali Akbar Moosavi, Mohammad Amin Nematollahi, Mohammad Omidifard

“…Since the associated laboratory/field experiments are time-consuming and labor-intensive, pedotransfer functions (PTFs) that rely on statistical predictors are usually integrated with the existing measurements to predict Kfs in other areas of the field. …”
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Edible Insect Meals as Bioactive Ingredients in Sustainable Snack Bars by Francesca Coppola, Silvia Jane Lombardi, Patrizio Tremonte

“…Insect metabolites are known for their preservative potential, but the time-consuming and unsustainable extraction process compromises their transferability. …”
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Association of Claustrophobia in Patients Referred for MRI with Premature Termination of Examination and Limited Study Acquisition: A Cross-Sectional Study in Rawalpindi City by Aneela Akram, Sara Khan, Nazia Dildar, Laiba Zahid, Bushra Nayyar, Zeeshan Ali

“…Relative frequencies of quantitative variables were calculated. P value was calculated by using Chi-square analysis. …”
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Clinical outcome of admitted HIV/AIDS patients in Ethiopian tertiary care settings: A prospective cohort study. by Getandale Zeleke Negera, Teshale Ayele Mega

“…Hazard ratio was used as a measure of strength of association and p-value of <0.05 was considered to declare statistical significance.…”
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Level of satisfaction to clinical learning environment and its associated factors among nursing students of public universities in Central Ethiopia. by Birhanu Tesfaye, Adamu Birhanu, Jiregna Darega, Samuel Abate Walda, Meseret Robi Tura

“…For measuring the strength of the association between the outcome and independent variables, adjusted odds ratios (AOR) along with 95% confidence interval (CI) was used. …”
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Support vector regression model for the prediction of buildings’ maximum seismic response based on real monitoring data by Dongwang Tao, Shizhe Fang, Haixu Liu, Jianqi Lu, Jiang Wang, Qiang Ma

“…To improve the model’s efficiency and practical applicability, we also establish a reduced-feature SVR model (RSVR-MDR) by selecting 10 fundamental parameters based on SHapley Additive exPlanations (SHAP) values and the accessibility of features. Our results demonstrate that SVR-MDR model outperform other machine learning models such as kernel ridge regression and decision tree models, and SVR-MDR and RSVR-MDR models outperform conventional loglinear regression and multinomial models, because SVR can map the complex nonlinear function of multiple variables and consider the available information of buildings especially the fundamental frequency. …”
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Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study by Jiao Wang, Jianrong Chen, Ying Liu, Jixiong Xu

“…After multivariable adjustment, individuals in tertile 3 had a significantly higher rate of diabetes compared with those in tertile 1 (hazard ratio 32.141, 95% CI 11.545‐89.476). Time receiver operating characteristic curve analyses showed that the FHTHWA index had high accuracy, with the area under the curve value being around 0.9 during the more than 12 years of follow-up. …”
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GDF-15 predicts cardiovascular events in acute chest pain patients. by Stergios Tzikas, Lars Palapies, Constantinos Bakogiannis, Tanja Zeller, Christoph Sinning, Stephan Baldus, Christoph Bickel, Vassilios Vassilikos, Karl J Lackner, Andreas Zeiher, Thomas Münzel, Stefan Blankenberg, Till Keller

“…We aimed at evaluating the predictive value of GDF-15 in patients presenting with symptoms suggestive of AMI.…”
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CLUSTERING ANALYSIS FOR GROUPING SUB-DISTRICTS IN BOJONEGORO DISTRICT WITH THE K-MEANS METHOD WITH A VARIETY OF APPROACHES by Denny Nurdiansyah, Mochamad Nizar Palefi Ma'ady, Yuana Sukmawaty, Muchammad Chandra Cahyo Utomo, Tia Mutiani

“…In addition, the Fast K-Means method is used, which reduces the model training time to improve the cluster-centered recalibration problem as the amount of data increases. …”
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Phenotypic and Physiological Characteristics of Pistachio Bushy Top Syndrome–affected Trees by Elizabeth J. Fichtner, Craig Kallsen, Bruce Lampinen, Santosh Bhandari, Jennifer Randall

“…Symptomatic trees exhibited greater variability in tree size parameters, suckering, and edible yield than asymptomatic trees. …”
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