Assessing customer satisfaction: the case of test prescribers at the clinical biology laboratory of Centre Muraz/ Institut National de Santé Publique, Burkina Faso by Dame Yenyetou, Issouf Sanou, Chérileila Thiombiano, Bakary Diamoutany Sogodogo, Adama Sanou, Soufiane D. Sanou, Mamoudou Cisse, Amariane M. M. Kone, Aline R. Ouoba, Dramane Kania, Michel K. Gomgnimbou, Ibrahim Sangare, Abdoul-Salam Ouedraogo

“…According to the regression model, the variables "communication with the laboratory," "interpretation of test results," and "delay in reporting results" substantially explained overall satisfaction, with p values of 0.04562, 0.03674, and 0.00987, respectively. …”
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Goals and opportunities of bedside hemostasis screening tests by E. V. Roitman, A. A. Shabalina, M. M. Tanashyan, N. Yu. Dmitrieva

“…Linear regression analysis and nonparametric Spearman correlation were used to assess the influence of platelet count and hematocrit values (categorical variables). Confidential level as p < 0.05 was assumed for each statistics.Results. …”
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Intrapartum ultrasound for cervical dilatation: Inter‐ and intra‐observer agreement by Arwa Hanidu, Mariya Kovalenko, Sana Usman, Lorenzo Monasta, Giulia Zamagni, Tamara Stampalija, Christoph Lees

“…Known inter‐ and intra‐observer variability exists in measurements of cervical dilatation obtained digitally. …”
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Observational study: effect of varying transport durations and feed withdrawal on the physiological status and health of dairy calves by Luca L. van Dijk, Susanne Siegmann, Niamh L. Field, Katie Sugrue, Cornelis G. van Reenen, Eddie A. M. Bokkers, Muireann Conneely, Gearoid Sayers

“…This observational study aimed to determine how transport and fasting durations impacted the physiology and health of 115 transported calves in three transport groups; IRE (n = 20, mean age 29.8d; short road transport (~ 29 h incl. resting time) and short feed deprivation (~ 11 h)), INT (n = 65, mean age 24.9d; long road/ferry transport (~ 79 h incl. resting times) and long feed deprivation (~ 28 h and 25 h)), and NLD (n = 30, mean age 17.7d; short road transport (~ 28 h incl. resting time) and long feed deprivation (> 18 h)). …”
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Ultrasonic Extraction of Phenolic Compounds from Eggplant Peel and Formulation of Eggplant Peel Extract-Enriched Ice-Cream by Farwa Kainat, Moazzam Ali, Ali Akbar, Rashid Masih, Samina Mehnaz, Muhammad Bilal Sadiq

“…The optimal extraction was at 45°C for 45 min of extraction time with 70% solvent which corresponded to TAC, TPC, and DPPH inhibition values of 7.94 mg/g, 7.03 mg GAE/g, and 94.8%, respectively. …”
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Characteristics of Stable Isotopes in Precipitation and Their Moisture Sources in the Guanling Region, Guizhou Province by Jialu Wang, Weijie Li, Yong Wang, Jiaojiao Zhang, Shizhen Xiao

“…The results showed that the variations of δ2H, δ18O, and d-excess values in precipitation exhibited remarkable seasonal variability. …”
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InvSim algorithm for pre-computing airplane flight controls in limited-range autonomous missions, and demonstration via double-roll maneuver of Mirage III fighters by Osama A. Marzouk

“…We then present a numerical procedure for integrating the developed inverse simulation (InvSim) system in time; utilizing (1) symbolic mathematics, (2) explicit fourth-order Runge–Kutta (RK4) numerical integration technique, and (3) expressions based on the finite difference method (FDM); such that the four necessary control variables (engine thrust force, ailerons’ deflection angle, elevators’ deflection angle, and rudder’s deflection angle) are computed as discrete values over the entire maneuver time, and these calculated control values enable the airplane to achieve the desired flight trajectory, which is specified by three inertial Cartesian coordinates of the airplane, in addition to the Euler’s roll angle. …”
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Serial rotational thromboelastography (ROTEM) in mechanically ventilated patients with COVID-19 demonstrates hypercoagulopathy despite therapeutic heparinization by Peter Rhee, Rifat Latifi, Abbas Smiley, Kartik Prabhakaran, Joshua Klein, James K Choi, Gary Lombardo

“…ROTEM was serially obtained for all patients on three different days during their intensive care unit (ICU) stay and analyzed using repeated measures analysis. Demographic variables, symptoms at the time of presentation, ROTEM values, laboratory values for traditionally measured coagulation profiles, and acute phase reactants were analyzed, in addition to the use of anticoagulation and clinical hypercoagulopathic complications.Results The average age of our cohort was 57.9 years old (SD=14.4) and 76.2% were male. …”
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Features of laboratory parameters in children with multisystem inflammatory syndrome associated with SARS-CoV-2 by O. O. Obukhova, T. I. Ryabichenko, G. S. Karpovich, G. A. Skosyreva, I. V. Kuimova, M. I. Voevoda

“…However, the leukocytes content in children of the older age group was significantly lower than in children aged 1–7 years. At the same time, in both age groups, some children had extremely low values of the indicator. …”
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Linking Data for Mothers and Babies in De-Identified Electronic Health Data. by Katie Harron, Ruth Gilbert, David Cromwell, Jan van der Meulen

“…A further 380,164 (56%) records linked using probabilistic methods incorporating additional variables that could differ between mother/baby records (admission dates, ethnicity, 3/4-character postcode district) or that include missing values (delivery variables). …”
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How Gait Nonlinearities in Individuals Without Known Pathology Describe Metabolic Cost During Walking Using Artificial Neural Network and Multiple Linear Regression by Arash Mohammadzadeh Gonabadi, Farahnaz Fallahtafti, Judith M. Burnfield

“…The study emphasizes the potential of focusing on specific nonlinear gait variables to enhance assistive device optimization, particularly for hip exoskeletons. …”
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Artificial intelligence in pediatric dental trauma: do artificial intelligence chatbots address parental concerns effectively? by Mihriban Gökcek Taraç, Tuğba Nale

“…For numerical variables, skewness and kurtosis values were calculated to assess normal distribution. …”
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Neuroscience-informed nomogram model for early prediction of cognitive impairment in Parkinson's disease by Sudharshan Putha, Swaroop Reddy Gayam, Bhavani Prasad Kasaraneni, Krishna Kanth Kondapaka, Sateesh Kumar Nallamala, Praveen Thuniki

“…The least absolute shrinkage and selection operator (LASSO) algorithm was applied to identify highly correlated clinical variables influencing cognitive function. Subsequently, these variables were integrated into a visualized nomogram model to facilitate early prediction of cognitive impairment (CI) risk. …”
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The Effect of Delayed Onset Muscle Soreness on Ground Reaction Forces and Loading Rate During Landing by Ali Jalalvand

“…Then, peak and downfall values of GRFs, loading rate, along with time to peak were extracted. …”
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Turbidity and suspended sediment relationship based on sediment composition and particle size distribution by Jongmin Kim, Siyoon Kwon, Sewoong Chung, Young Do Kim

“…However, traditional methods for measuring SS data, such as water sampling and laboratory analysis, are time-consuming and impractical for real-time applications. …”
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Power Quality 24 h Verification in Smart Load Scheduling Based on Differentiate, Deep, and Assembly Statistics in NWP Processing by Ladislav Zjavka

“…After an initial preprocessing of the training series, the detected weather and binary-coded load combination time interval samples are used in the training. AI statistics allow processing entire 24 h forecast series, replacing related real-valued quantities available in learning stage, to compute final PQ targets at the corresponding prediction times. …”
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Assessment of the Vertical Dimension of Occlusion Using Palm Width and Finger Length by Cecilia Bacali, Mariana Constantiniuc, Antarinia Craciun, Daniela Popa

“…Statistically significant correlations of the analyzed parameters and VDO values were found. Higher statistical correlations of the studied variables were found for men compared to women in both groups. …”
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Long-Term Changes and Trends in the F2 Layer Critical Frequency over Alma-Ata (Kazakhstan) by Galina Gordiyenko, Artur Yakovets, Yurii Litvinov, Murat Zhiganbayev

“…The long-term variability and trends in the F2 layer critical frequency variations over Alma-Ata [43.25 N, 77.92 E] for the period 07.1957–04.2018 are studied using near-midday, near-midnight, and hourly median foF2 values. …”
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AI for Predicting Pavement Roughness in Road Monitoring and Maintenance by Christina Plati, Angeliki Armeni, Charis Kyriakou, Dimitra Asoniti

“…The models consider only traffic and structural road characteristics as variables. The results show that the LSTM method provides significantly lower prediction errors for both highway sections, indicating better performance in capturing roughness trends over time. …”
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Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…Traditional methods for measuring these variables are often time-consuming and costly. To address this, the study employed digital soil mapping (DSM) and machine learning (ML) models as efficient and cost-effective alternatives to predict soil erodibility and its indices, including clay ratio, critical level of organic matter, crust formation, dispersion ratio, and soil aggregate stability. 50 soil surface samples (0–20 cm depth) were collected from forest, agricultural, and pasture land uses. …”
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