THE STRUCTURE OF HAPPINESS REPRESENTATION FOR RUSSIAN AND AMERICAN REPRESENTATIVES by S. Yu. Zhdanova, A. V. Pecherkina, A. A. Strokanov

“…Statistical analysis of the data was based on the use of the coefficient of φ-angular Fisher transform, correlation coefficient φ, and cluster analysis.Results and scientific novelty. …”
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Enabling Precision Agriculture through a Web-Based Fertilization Management System for Nawungan Selopamioro Fruit Orchards by Andri Prima Nugroho, Fauzan Edy Wijaya, Ngadisih Ngadisih, Rudiati Evi Masithoh, Lilik Sutiarso

“…Although comprehensive testing confirmed a 100% success rate in functionality, the system currently operates within a limited scope of variables. …”
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Development of smart samplers and their comparison to dried serum spots for the analysis of growth hormone releasing hormone analogs using LCHRMS/MS by Christina Johannsen, Anna Kha Tu Nguyen, Sasha Shabani, Inger Oulie, Siri Dørum, Yvette Dehnes, Leon Reubsaet, Trine Grønhaug Halvorsen

“…Smart samplers combine sampling and sample preparation in one tool; in this study smart samplers were developed using divinyl sulfone functionalized paper to immobilize antibodies for selective analyte capture. …”
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Molecular and immune landscape of melanoma: a risk stratification model for precision oncology by Miao Sun, Junliang Wu

“…Knockdown efficiency was confirmed by qRT-PCR. Functional assays revealed that KIR2DL4 silencing significantly reduced cell proliferation, as assessed by MTT assay, and impaired migratory capacity, as demonstrated by wound healing assay. …”
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Optimized Dual-Battery System with Intelligent Auto-Switching for Reliable Soil Nutrient Monitoring in Remote IoT Applications by Doan Perdana, Pascal Lorenz, Bagus Aditya

“…Implementing the DLB–PAO algorithm elevates the average reliability to 91.7% over 120 h, whereas the DLB–GA algorithm achieves near-perfect reliability (99.9%) for over 170 h, exhibiting minimal variability (standard deviation: 0.9%). The integration of intelligent auto-switching mechanisms and metaheuristic optimisation algorithms demonstrates a marked enhancement in both reliability and energy efficiency for soil nutrient monitoring systems. …”
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Assessment of the Potential of Decentralized Dinance (DeFi) as an Alternative to Traditional Financial Services in the Context of the Development of the Digital Economy and Web3 by Manoilenko Oleksandr V., Kuznetsova Svitlana O., Pysakovskyi Anton O.

“…An analysis of the main characteristics of DeFi protocols, their functional capabilities, and differences from centralized financial institutions has been conducted. …”
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Research on Design and Energy-Saving Performance of Gate Rudder by Chunhui Wang, Qian Gao, Lin Li, Feng Gao, Zhiyuan Wang, Chao Wang

“…As a novel energy-saving and maneuvering device for ships, the gate rudder system (GRS) functions similarly to an accelerating duct. While providing additional thrust, its independently controllable rudder blades on either side of the propeller also enhance ship maneuverability. …”
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Optimally controlled heating of solid particles in a fluidised bed with a dispersive flow of the solid by Poświata Artur, Szwast Zbigniew

“…The mixing rate was described by the axial dispersion coefficient. As any economic values of variables describing analysing process are subject to local and time fluctuations, the accepted objective function describes the total cost of the process expressed in exergy units. …”
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Time-varying MVAR algorithms for directed connectivity analysis: Critical comparison in simulations and benchmark EEG data. by Mattia F Pagnotta, Gijs Plomp

“…Results from numerical simulations and from benchmark EEG recordings showed that: i) across a broad range of model orders all algorithms correctly reproduced patterns of interactions; ii) signal downsampling degraded connectivity estimation accuracy for most algorithms, although in some cases downsampling was shown to reduce variability in the estimates by lowering the number of parameters in the model; iii) single-trial modeling followed by averaging showed optimal performance with larger adaptation coefficients than previously suggested, and showed slower adaptation speeds than multi-trial modeling. …”
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Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

“…The best prediction model was found to be the ANN model when training the conjugate gradient with the Polak-Ribiere updates (Traincgp) training function with the hyperbolic tangent sigmoid transfer function (Tansig) with the mean squared error (MSE) and correlation coefficient (R2) values recorded as 0.01886 and 0.94973, respectively. …”
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Numerical discussion of phase-lag mixed integral equations with general discontinuous kernels by Abeer M. Al-Bugami, M. A. Abdou

“…This integral equation has coefficients that vary in time and phase-lag time. It was proven that this method linked the time variables to the kernel of the integral equation in terms of the existence of a single solution. …”
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COMPARING GAUSSIAN AND EPANECHNIKOV KERNEL OF NONPARAMETRIC REGRESSION IN FORECASTING ISSI (INDONESIA SHARIA STOCK INDEX) by Yuniar Farida, Ida Purwanti, Nurissaidah Ulinnuha

“…The analysis results obtained the best method in predicting ISSI values, namely nonparametric kernel regression using Nadaraya-Watson estimator and Gaussian kernel function with the MAPE value of 15% and the coefficient of determination of 85%. …”
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Assessing the effect of dynamics of unpredictable locust invasive behavior and its effect on food security and community livelihood by Mfano Charles Petro

“…Additionally, it was observed that the deterrent coefficient in the invaded and source zones (ηi and ηs) has a significant impact on controlling the dynamic behavior of locusts.…”
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Prediction of Pile Bearing Capacity Using Opposition-Based Differential Flower Pollination-Optimized Least Squares Support Vector Regression (ODFP-LSSVR) by Nhat-Duc Hoang, Xuan-Linh Tran, Thanh-Canh Huynh

“…Based on such datasets, LSSVR is capable of generalizing a multivariate function that estimates values of pile bearing capacity based on a set of variables describing pile characteristics and ground conditions. …”
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Leveraging Cognitive and Speech Ecological Momentary Assessment in Individuals With Phenylketonuria: Development and Usability Study of Cognitive Fluctuations in a Rare Disease Pop... by Shifali Singh, Lisa Kluen, Katelin Curtis, Raquel Norel, Carla Agurto, Elizabeth Grinspoon, Zoe Hawks, Shawn Christ, Susan Waisbren, Guillermo Cecchi, Laura Germine

“…Similarly, to assess variability in task performance over the course of all EMAs, the coefficient of variability was computed; 28% for the task measuring sustained attention, 37% for semantic fluency, 15.8% for the task measuring executive functioning, and 17.6% for processing speed. …”
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Exercise, Training & Health by Mentz L, Winkert K, Schlegel S, Rohlmann F, Steinacker JM, Treff G

“…The highest differences between individual CVs were found in step 1, ranging from 2.9% to 11.8%.Conclusion: Stroke-to-stroke variability during rowing ergometer testing amounts to 4.7%, which is probably higher than during testing on externally controllable bicycle ergometers, where resistance is controlled as a function of cadence. …”
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Investigating Whether AI Will Replace Human Physicians and Understanding the Interplay of the Source of Consultation, Health-Related Stigma, and Explanations of Diagnoses on Patien... by Weiqi Guo, Yang Chen

“…The main effects and interaction effects of the variables were examined on individuals’ functional, relational, and emotional evaluations of the medical consultation. …”
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Systematic Evaluation of Isolation Techniques and Freeze‐Thaw Effects on Plasma Extracellular Vesicle Heterogeneity and Subpopulation Profiling by Xueqi Li, Xiangyu Li, Lingjun Tong, Liqiao Hu, Yanfen Hong, Ruoyu Zhou, Zonghong Li, Ming Dong, Junjie Hou, Tao Xu, Wen Zhong

“…However, standardizing blood‐derived EV isolation remains challenging due to the heterogeneity of EV populations and variability among isolation techniques. In this study, we systematically evaluated three distinct EV isolation methods, including asymmetrical flow field‐flow fractionation (AF4), size‐exclusion chromatography (SEC) and automated centrifugal microfluidic disc system combined with functionalized membranes (Exo‐CMDS), to compare their efficiency in isolating EVs from both freshly frozen and freeze‐thawed plasma samples. …”
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Optimal control for high-precision repeat ground-track orbits via convex optimization by Yanchao HE, Lei ZHANG, Yijun YANG, Qian CHEN

“…The results show that the design approach enables the realization of high-precision RGT orbit designs and that the orbit control strategy is efficient.…”
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A Computational Approach to Increasing the Antenna System’s Sensitivity in a Doppler Radar Designed to Detect Human Vital Signs in the UHF-SHF Frequency Ranges by David Vatamanu, Simona Miclaus

“…In the context of Doppler radar, studies have examined the changes in the phase shift of the S₂₁ transmission coefficient related to minute movements of the human chest as a response to breathing or heartbeat. …”
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