Evaluation of the adequacy of phase equilibria modeling based on various sets of experimental data by A. V. Frolkova, V. G. Fertikova, E. V. Rytova, A. K. Frolkova

“…The research methodologies were mathematical modeling of VLE in the Aspen Plus V.10.0 software package using activity coefficient models (Non-Random Two-Liquid (NRTL), Wilson) and the Universal quasichemical Functional-group Activity Coefficients (UNIFAC) group model, which allows for independent information. …”
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Deep learning HRNet FCN for blood vessel identification in laparoscopic pancreatic surgery by Jile Shi, Ruohan Cui, Zhihong Wang, Qi Yan, Lu Ping, Hu Zhou, Junyi Gao, Chihua Fang, Xianlin Han, Surong Hua, Wenming Wu

“…Here, we evaluated the High Resolution Network (HRNet)-Full Convolutional Network (FCN) model for its ability to accurately identify vascular contours and improve surgical safety. …”
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Development and validation of the pesticides label (pictograms and color codes) questionnaire: A pilot study of farmers' understanding and practices in Lebanon. by Mona Aridi, Sara Abou Ibrahim, Nisreen Alwan, Wissam Ghach

“…These results highlight the questionnaire's robust construct validity and its ability to capture key dimensions of comprehension and practice related to pesticide labels. …”
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Multi-Step Peak Passenger Flow Prediction of Urban Rail Transit Based on Multi-Station Spatio-Temporal Feature Fusion Model by Jianan Sun, Xiaofei Ye, Xingchen Yan, Tao Wang, Jun Chen

“…In addition, the impact of these features on the prediction accuracy and the generalization ability of the model were verified by designing ablation experiments and testing on different datasets.…”
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Utilizing Spectral Indices to Estimate Total Dissolved Solids in Water Body Northwest Arabian Gulf by Adel Jassim Al-Fartusi, Mutasim Ibrahim Malik, Hameed Majeed Abduljabbar

“…The research aims to assess Landsat 8 OLI images' ability to expose TDS on the sea surface in Iraqi marine waters. six band combinations were employed in the correlation analysis between band values and six dissolved solids samples collected during the fieldwork in three sampling stations to determine the amount of total dissolved solids (TDS): st1, st2, and st3 in December 2014 (26,38,36.9) g.L-1 and mid-January 2022 (27.4,37.9,37) g.L-1, respectively. …”
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Decoding PM_2.5 Prediction in Nanning Urban Area, China: Unraveling Model Superiorities and Drawbacks Through SARIMA, Prophet, and LightGBM by Minru Chen, Binglin Liu, Mingzhi Liang, Nini Yao

“…The study systematically compares the performance of each model from the spatial and temporal dimensions using indicators such as mean square error (MSE), mean absolute error (MAE) and coefficient of determination (R²). The results show that the LightGBM model has a strong ability to mine complex nonlinear relationships, but its stability is poor. …”
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Inversion and analysis of leaf area index (LAI) of urban park based on unmanned aerial vehicle (UAV) multispectral remote sensing and random forest (RF). by Yan Li, Bocheng Wang, Xuefei Zhao, Yichuan Zhang, Lifang Qiao

“…Although the accuracy is still insufficient, RF's ability to handle nonlinear relationships makes it an effective tool for LAI inversion in complex vegetation environments. …”
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A satellite selection algorithm based on adaptive simulated annealing particle swarm optimization for the BeiDou Navigation Satellite System/Global Positioning System receiver by Ershen Wang, Caimiao Sun, Chuanyun Wang, Pingping Qu, Yufeng Huang, Tao Pang

“…The influences of the key parameters of the algorithm—such as the inertia weighting factor, acceleration coefficient, and population size—on the performance of the particle swarm optimization satellite selection algorithm are discussed herein. …”
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THE RELATIONSHIP BETWEEN SELF-CONTROL AND CYBERBULLYING BEHAVIOR by Arlina Dhian Sulistyowati, Agus Murtana, Ajeng Fitria Eri Desviana

“…Introduction: Self-control is an individual's ability to restrain themselves or direct themselves in a better direction with existing norms. …”
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Experimental Investigation of the Matching Relationship between Asphalt Particle and Reservoir Pore in Profile Control Process by Chengfeng Ren, Junjian Li, Yiqiang Li, Jingshu Yuan, Yanqiang Xi, Kang Xiao, Yuxi Wang

“…We could quantitatively assess the matching relationship by measuring the on-way resistance coefficient, residual resistance factor, and relative change of permeability of man-made cores after injecting asphalt. …”
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A Dual-Band Multiple Input Multiple Output Frequency Agile Antenna for GPSL1/Wi-Fi/WLAN2400/LTE Applications by Sajid Aqeel, M. H. Jamaluddin, Aftab Ahmad Khan, Rizwan Khan, M. R. Kamarudin, Jalil-ur-Rehman Kazim, Owais Owais

“…The gain, efficiency, correlation coefficient, and diversity gain of the MIMO DRA are presented with a close agreement between simulated and measured results.…”
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Evaluating pelvic external forces and moments in assisted walking: implications for the development of robotic-assisted walkers by Hiroki Aoyama, Daijiro Tsutsumi, Katsushi Ogawa, Seonghee Jeong

“…Robot-assisted gait training devices play a significant role in enhancing gait ability; however, challenges such as their large size, high cost, and limited adaptability exist. …”
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Radiological analysis of maxillary sinus anatomy in the 1st molar region in different ages and genders- A Cone Beam CT study by Vidisha Gargi, Chetan Bhadage, Ajay Bhoosreddy

“…Conclusion: CBCT has demonstrated the ability to assess anatomical changes in the MS between genders and age groups. …”
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Enhanced Sensitivity of Silicon-Photonics-Based Ultrasound Detection via BCB Coating by Resmi Ravi Kumar, Evgeny Hahamovich, Shai Tsesses, Yoav Hazan, Assaf Grinberg, Amir Rosenthal

“…Ultrasound detection via silicon waveguides relies on the ability of acoustic waves to modulate the effective refractive index of the guided modes. …”
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Application of an improved LSTM model based on FECA and CEEMDAN VMD decomposition in water quality prediction by Jie Long, Chong Lu, Yiming Lei, Zhong Yuan Chen, Yihan Wang

“…Using dissolved oxygen (DO) as an example, the model reduced the Mean Absolute Percentage Error (MAPE) by 0.12% and increased the coefficient of determination (R2) by 0.20% compared to baseline methods. …”
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Non-destructive Identification of Moldy Walnuts by Fusing X-Ray and Visual Image Features by NING Xinyue, ZHANG Hui, JI Shuai, LAI Lisi

“…The average specificity and Kappa coefficient values were 97.02% and 88.44%, respectively, indicating high ability to discriminate both majority and minority moldy walnuts. …”
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Evaluating an Artificial Intelligence (AI) Model Designed for Education to Identify Its Accuracy: Establishing the Need for Continuous AI Model Updates by Navdeep Verma, Seyum Getenet, Christopher Dann, Thanveer Shaik

“…Multiple metrics were employed, including Cohen’s Kappa, Bland–Altman analysis, the Intraclass Correlation Coefficient (ICC), and Pearson/Spearman correlation coefficients, to compare the AI model’s results with those of the experts. …”
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An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel by Mengyang Li, Liu Chen

“…Results indicate that the proposed stacking model has notably enhanced its forecasting ability for these parameters. Coefficient of Determination (R2), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE) were used to measure this stacking model: the process side outlet temperature (R2 = 0.9467, RMSE=1.5239, and MAE = 1.2721), the process side outlet humidity ratio (R2 = 0.9743, RMSE = 0.5728, MAE = 0.4531). …”
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Morphing torso mannequin for pressure measurement and scoliotic brace efficacy evaluation by Ka-Po Lee, Chao Lu, Hiu-Tung Kwok, Jun Zhang, Queenie Fok, Kit-Lun Yick, Joanne Yip

“…The large correlation coefficient (0.95) between the mannequin and clinical results confirms its ability to simulate the corrective effects of spinal bracing accurately. …”
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THE INFLUENCE OF CHILD GROWTH STATUS AND FAMILY RELATIONSHIPS ON THE SOCIAL-EMOTIONAL DEVELOPMENT OF PRESCHOOL-AGE CHILDREN by Sisilia Indriasari Widianingtyas, Etik Lusiani, Agung Kurniawan Saputra

“…The statistical test used in this study is coefficient regression with a significance level of p 0.05. …”
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