Matching Vegetation Indices and Tree Vigor in Pyrenean Silver Fir Stands by Juan Pablo Crespo-Antia, Antonio Gazol, Manuel Pizarro, Ester González de Andrés, Cristina Valeriano, Álvaro Rubio Cuadrado, Juan Carlos Linares, Jesús Julio Camarero

“…The EVI values allowed for the separation of stands according to their vigor earlier and more clearly than NDVI values, which did not show clear patterns throughout the time series. …”
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Trends in chronic kidney disease and calories from ultra-processed foods: NHANES at the highly granular level by Kristin E. Leonberg, Manish R. Maski, Tammy M. Scott, Yutong Chen, Bingjie Zhou, Elena N. Naumova

“…We applied a sequential model building approach incorporating time-fixed and time-varying socioeconomic and sociodemographic variables for the total sample and each race/ethnic group. …”
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Traffic flow modelling of vehicles on a six lane freeway: Comparative analysis of improved group method of data handling and artificial neural network model by Isaac Oyeyemi Olayode, Alessandro Severino, Frimpong Justice Alex, Elmira Jamei

“…Traffic flow variables, such as vehicle density, speed, time, and traffic volume, were considered as both inputs and outputs. …”
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Research on the Index Calculation Method for the Impact of Drought on Water Quality in the Nakdong River, Korea by Bu Geon Jo, Jaeyeon Lim, Joo-Heon Lee, Young Do Kim

“…Factors integrated into the index encompass both meteorological and hydrological indicators, with priority given to variables measurable in real time. Real-time parameters—such as flow rate, cumulative precipitation, days without rainfall, and sensor-based metrics (pH, electrical conductivity [EC], dissolved oxygen [DO], and total organic carbon [TOC])—were incorporated. …”
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Quality of the fibrinogen index in freeze-dried plasma for external blood coagulation testing programs by Thi Hong Nguyen, Thanh Tung Tran, Thi Diem Phuc Huynh, Quang Huy Vu

“…Key variables included: Mean (central tendency), Standard Deviation (data dispersion), Homogeneity (consistency within a batch, assessed via P-values), and Stability (maintenance of values over time under varied storage conditions). …”
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Ultrasound by midwives in the postpartum period: feasibility, reproducibility and midwives’ perspectives by S. Coremans, J. Muys, J. De Winter, H. De Raedemaecker, Y. Jacquemyn

“…Materials and Methods: A quantitative, monocentric cross-sectional study used questionnaires to evaluate the viewpoint of the midwife and the mother; repeat transabdominal ultrasound measurements were made of uterine length, width, height, and endometrial thickness by midwives, junior gynaecology trainees, and experienced gynaecologic ultrasonographers, 24 to 48 hours after delivery; Bland-Altman plotting assessed interand intra-observer variability. Results: Fifty-five percent of midwives considered implementation of ultrasound in postpartum care as feasible; time restrictions were seen as an obstacle by 60%, and 97% considered themselves after training as capable to perform postpartum ultrasound autonomously. …”
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Basic research on CVD single crystal diamond processing by UV nanosecond laser by Huabin ZHAN, Kaixuan FENG, Yupeng CHEN, Jing LI, Jiawei WEI, Jianhui CHEN, Qi HAO, Changwei WAN, Ni CHEN

“…After obtaining a suitable range of processing parameters, a laser energy density model is established in which the main variables are laser power and scanning speed. Changes in the model are observed by varying different combinations of parameters, and the processing law is predicted and verified by combining with the actual line etching test. …”
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CHARACTERISTICS OF CHANGES IN BLOOD PRESSURE AND HEART RHYTHM DISTURBANCES IN PATIENTS WITH METABOLIC SYNDROME by A. H. Mustafayeva

“…Heart rate variability at different times of day depending on age indicate adverse changes in the autonomic regulation of cardiac activity alongside with increasing the age of patients with MS. …”
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Numerical study of coupled heat transfer between primary and secondary sides of helical coiled tube steam generator for liquid metal fast reactor by LIU Jialun, NING Liang, LIN Jinpeng, XIN Jie, LI Min, LI Huixiong

“…Meanwhile, the relative deviation of the heat flux distribution along the heat flux is 3~4 times larger than the corresponding value of water reactor. …”
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Statistical modeling and application of machine learning for antibiotic degradation using UV/persulfate-peroxide based advanced oxidation process by Musfekur Rahman Dihan, Md. Ashraful Alam, Surya Akter, Md. Abdul Gafur, Md. Shahinoor Islam

“…The Shapley values of ANN and estimated predictor importance of LSBoost indicated that PSconc and time have the highest impact on % removal and initial pH, and PSconc on final pH modeling. …”
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Optimization of Online Moisture Prediction Model for Paddy in Low-Temperature Circulating Heat Pump Drying System with Artificial Neural Network by Yi Zuo, Abdulaziz Nuhu Jibril, Jianchun Yan, Yu Xia, Ruiqiang Liu, Kunjie Chen

“…Furthermore, optimization was conducted using neural network weights (RI) analysis and Sobol variance contribution analysis of the input variables to simplify the model structure and improve predictive performance. …”
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Fear of Missing Out (FoMO) Scale: Adaptation to Social Media Context and Testing its Psychometric Properties by Fatih Çelik, Behçet Yalın Özkara

“…Furthermore, the path analysis was conducted to evaluate the antecedent variables of FoMO. FoMO positively predicted smartphone addiction, average daily social media usage time, and average daily social media checking frequency. …”
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Prevalence and predictors of no-shows to physical therapy for musculoskeletal conditions. by Nrupen A Bhavsar, Shannon M Doerfler, Anna Giczewska, Brooke Alhanti, Adam Lutz, Charles A Thigpen, Steven Z George

“…Our model had moderate discrimination for no-shows (c-statistic:0.72, all appointments; 0.73, first 7 appointments) and was well calibrated, with predicted and observed no-shows in good agreement. Variables predicting higher no-show rates included insurance type; smoking-status; higher BMI; and more prior cancellations, time between visit and scheduling date, and between current and previous visit.…”
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Monitoring water quality parameters using multi-source data-driven machine learning models by Yubo Zhao, Mo Chen, Jinyu He, Yanping Ma

“…For the watershed, the R² values for TP, DO, and COD increased by 0.34, 0.43, and 0.42, respectively. …”
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Pre-emergent herbicides during the off-season of irrigated rice to control weedy rice and reduce the soil seed bank by Tilio Adan Lucas, Simone Puntel, Rafaella Boemo Mario, Leonardo da Silva Bolson, Arícia Ritter Corrêa, Pedro Henrique Folharini, Murilo Vieira Loro, André da Rosa Ulguim

“…The herbicides showed control values below 25% and low reduction of the seed bank in the soil, being considered ineffective in this application modality. …”
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Enhanced Lightweight YOLO Model for Efficient Vehicle Detection in Satellite Imagery by Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Elmi Abu Bakar, Ahmad Faizul Hawary

“…Vehicle detection in satellite images is a challenging task due to the variability in scale and resolution, complex background, and variability in object appearance. …”
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Ultrasound-Assisted Extraction of Phenolic Compounds from Moroccan Lavandula stoechas L.: Optimization Using Response Surface Methodology by Yassine Ez zoubi, Mouhcine Fadil, Dalila Bousta, Abdelhakim El Ouali Lalami, Mohammed Lachkar, Abdellah Farah

“…Yield and the total concentration of polyphenols have been optimized, taking into account three variables, the extraction time (min), the ethanol concentration (%), and the solvent/extract ratio (ml/g). …”
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Comparison of three recent discrete stochastic inversion methods and influence of the prior choice by Juda, Przemysław, Straubhaar, Julien, Renard, Philippe

“…The knowledge about subsurface is however limited and often provided indirectly by state variables, such as hydraulic heads of contaminant concentrations. …”
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Tuning the physical properties of ternary alloys (NiCuCo) for in vitro magnetic hyperthermia: experimental and theoretical investigation by O. M. Lemine, Noura Al-Dosari, Saja Algessair, Nawal Madkhali, Moustapha Elansary, Chouaïb Ahmani Ferdi, Marzook S Alshammari, Rizwan Ali, Ali Z. Alanzi, Mohammed Belaiche, Kheireddine El-Boubbou

“…Herein, we prepared NiCuCo ternary alloy nanocomposites with variable compositions by mechanical alloying. Physical properties were fully characterized by XRD, Rietveld analysis, XPS, SEM/EDX, TEM, ZFC/FC and H-M loops. …”
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Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data by Nur Hani Zainal, Hui Han Tan, Ryan Yee Shiun Hong, Michelle Gayle Newman

“…Significant predictors included 4 strengths (higher trait mindfulness, lower SAD severity, presence of university education, no current psychotropic medication use), 2 weaknesses (higher generalized anxiety severity and clinician-diagnosed depression or anxiety disorder), and 1 sociodemographic variable (Chinese ethnicity). Emotion dysregulation and current psychotherapy predicted remission with inconsistent signs across time points. …”
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