ECOLOGICAL TOLERANCE OF THE SPRING BARLEY VARIETY ‘PRERIYA’ ON THE BLACKEARTH (CHERNOZEM) OF THE ROSTOV REGION by I. N. Ilinskaya, M. I. Rychkova

“…The study has found that the cultivation of the spring barley variety ‘Prerie’ is ecologically stable in a five-crop rotation sequence, the structure of which includes peas, winter wheat, sunflower and perennial grasses with subsoil plowing with the use of 1 kg/ha mineral fertilizers N90Р40К90, which provides a minimum variability in yield (10%) and the highest coefficient of environmental stability of the studied variety (0.58). …”
Get full text

Spatial-temporal Evolution and Driving Factors of Ecological Environment Quality in Weihe River Basin Based on Remote Sensing Ecological Index by Wu Mengyue, Li Yu

“…The average value of the variation coefficient of RSEI in Weihe River Basin is 0.211, showing a low fluctuation as a whole, and the low fluctuation changes are distributed in mountainous areas such as the Qinling mountains, Qianshan, Guanshan and Ziwuling mountains, mainly in areas with high ecosystem functions and relatively stable community structure. …”
Get full text

Effect of Gratitude on Mental Health with Mediating Role of Positive and Negative Affect by Malihe Shakerifard, Ali Mohamadzadeh Ebrahimi, Tayebe Rahimi Pordanjani

“…Based on the researches, gratitude has an effective role in mental health and the other positive psychological functions. The aim of this study was to investigate the effect of gratitude on mental health with the mediating role of positive and negative affect. …”
Get full text

Estimation of mineral content in forages by near-infrared reflectance spectroscopy by Andrej LAVRENČIČ, Bruno STEFANON, Andrej OREŠNIK

“…On the contrary, NIRS did not estimate Na content very accurately (R2 = 0.52; coefficient of variability of cross validation (CVSECV) = 35.5%), suggesting that Na is not closely associated with organic functional groups or that the amount of the mineral is below the level of NIRS detection. …”
Get full text

Predicting Kinematic Viscosity and Cetane Number of Diesel- Biodiesel Blend Using Neural Network and Empirical Models by M. yari, Gh. Moradi, M. Abdolmaleki, Sh. Bashiri

“…This study tries to estimate two substantial properties of blend, i.e. kinemattic viscosity (KV) and cetane number (CN), through neural network (NN) and empirical models which use pure properties of biodiesel (kinematic viscosity, boiling point, evaporation point, flash point, pour point, heat of combustion, cloud point, and specific gravity) as independent variables. In this regard, a three-layer feed-forward network with varying input parameters, training algorithms, transfer functions, and hidden neurons has been examined to predict the KV and CN of the diesel-biodiesel blend. …”
Get full text

Morphological and biochemical characterization of Moroccan Opuntia dillenii fruit: Natural source of bioactive compounds by Sofia ZAZOULI, Ghizlane Kabiri

“…Methods:The morphological traits, biochemical parameters, and antioxidant content of the Moroccan O. dillenii fruit fractions, namely peel, juicy pulp, and seeds, were investigated. Results: The coefficient of variation of the morphological traits oscillated between 16.03 % for fruit weight and 51.83 % for seed weight, indicating a broad level of morphological variability. …”
Get full text

Empirical Validation of a Streamlined Three-Repetition Sit-to-Stand Protocol Using MAI Motion by Yan Wen, Tanvi Verma, Jonathan P. Whitehead, Paul Lee

“…MAI Motion is a motion capture system designed to assess lower-limb biomechanics during functional movements like the sit-to-stand (STS) test. …”
Get full text

Investigating the Relationship Between FMS Test Scores and the Occurrence of Injury in Elite Female Shooter by Abdolrasoul Daneshjoo, Baran Hoseini, Fatemeh Ghasemi

“…After obtaining the consent form and measuring the demographic characteristics of the subjects, a checkerboard method and a New York test questionnaire were used to measure the variables of the study. All subjects performed the seven Functional Movement Screen (FMS) after evaluating the degree of stature abnormalities. …”
Get full text

Multi-Objective Routing and Categorization of Urban Network Segments for Cyclists by Konstantinos Theodoreskos, Konstantinos Gkiotsalitis

“…Data collection methods include GPS tracking, field measurements, and qualitative approaches to understand cyclists’ behavior and preferences. Nine objective functions are constructed based on criteria related to safety and comfort, incorporating decision variables related to cyclists riding on sidewalks, capturing the complexity of urban cycling infrastructure. …”
Get full text

Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

“…Ensuring data quality in CEA systems is essential, as it affects system stability and operational efficiency. This research aims to assess system stability by analyzing the correlation between cumulative agricultural operations (Agr.Ops) and air temperature data variability.MethodsThe methodology involved collecting air temperature data from IoT sensors in the CEA system throughout lettuce cultivation trials. …”
Get full text

Some comments on the assessment of students’ knowledge at the University by Darya I. Yareshchenko

“…The parametric approach consists in choosing the form of the function up to a vector of parameters and the subsequent evaluation of these coefficients by a training sample. …”
Get full text

A Combined Approach to Solving Applied Metal Forming Problems by Matvej Baldin, Nikita Kondratev, Peter Trusov, Kirill Ostapovich

Get full text

Research on the Planning and Design of Med–Small-Sized Hospitals in China Based on Patient Perceived Value in the Context of Healthcare Model Transformation by Yunhui Zhu, Ying Zhou

“…There are 24 observed variables in six dimensions, including cost value, functional value, social value, cognitive value, patient satisfaction, and patient loyalty. …”
Get full text

Agronomic Information Extraction from UAV-Based Thermal Photogrammetry Using MATLAB by Francesco Paciolla, Giovanni Popeo, Alessia Farella, Simone Pascuzzi

“…Nowadays, these sensors can be integrated as payloads on unmanned aerial vehicles, providing high spatial and temporal resolution, to deeply understand the variability of crop and soil conditions. However, few commercial software programs, such as PIX4D Mapper, can process thermal images, and their functionalities are very limited. …”
Get full text

Predictor Importance for Hydrological Fluxes of Global Hydrological and Land Surface Models by João Paulo L. F. Brêda, Lieke A. Melsen, Ioannis Athanasiadis, Albert VanDijk, Vinícius A. Siqueira, Anne Verhoef, Yijian Zeng, Martine van derPloeg

“…We analyzed the JULES, ORCHIDEE, HTESSEL, SURFEX, and PCR‐GLOBWB models for the relative importance of precipitation, climate, soil, land cover and topographic slope as predictors of simulated average evaporation, runoff, and surface and subsurface runoff. RF models functioned as a metamodel and could reproduce GHM/LSMs outputs with a coefficient of determination (R2) over 0.85 in all cases and often considerably better. …”
Get full text

Shape Accuracy Improvement of the Flange Turning Process in Aluminum Aerosol Can Production by Istvan Sztankovics, Csaba Felho, Krisztina Kun-Bodnar, Zsolt Maros

“…These findings support more efficient production processes for aluminum aerosol bottles.…”
Get full text

Building Credible VTOL Flight Models for Handling Quality Certification by Simulation by Lorenzo Favaro, Agata Rylko, Giuseppe Quaranta

“…Applied to a lift + cruise VTOL model performing a deceleration-to-hover manoeuvre, the study demonstrates that while longitudinal control dynamics largely remained within MUAD limits, indicating the model’s credibility for those aspects, vertical axis dynamics coupled with longitudinal inputs for some uncertain configurations exceeded these limits, correlating with observed flight test performance variability. Readers will find a structured, quantitative approach to model validation for HQ certification by simulation, leveraging MUAD to determine if a nominal model is sufficiently representative for certification, thereby supporting safer and more efficient VTOL development.…”
Get full text

KNOT OPTIMIZATION FOR BI-RESPONSE SPLINE NONPARAMETRIC REGRESSION WITH GENERALIZED CROSS-VALIDATION (GCV) by Andre Fajry Al Barra, Dewi Retno Sari Saputro

“…Nonparametric regression is a statistical method used to model relationships between variables without making strong assumptions about the functional form of the relationship. …”
Get full text

The role of personalized precision medicine in enhancing diagnostic accuracy and clinical outcomes by Shamala Devi Sekaran, Rishya Manikam, Gaythri Thergerajan, Haymond Prasad, Munandy Alagar, Chung Keat Tan

“…Autologous or allogeneic stem cells such as mesenchymal stem cells and induced pluripotent stem cells can be used for direct tissue treatment in a rapid, personalized, and efficient manner. This approach of engineering cells and altering their functions before clinical use offers numerous benefits that are essential for personal health.…”
Get full text

RNAtango: Analysing and comparing RNA 3D structures via torsional angles. by Marta Mackowiak, Bartosz Adamczyk, Marta Szachniuk, Tomasz Zok

“…It supports researchers in accurately assessing structural similarities, which contributes to the precision and efficiency of RNA modeling.…”
Get full text