On practical aspects of optimal modelling in boundary element method by A. Brański, R. Olszewski

“…Since the optimal discretization theory derived for the function of one variable, then only the 2D problem is considered. …”
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Biotinylated fusion protein-streptavidin-peroxidase complex based non-competitive magnetic immunoassay for rapid detection of organophosphorus pesticides by Ruirui Shi, Jiangke Li, Wenli Yu, Tengfei Yin, Haiyan Lin, Juan Liu, Wenyu Cui

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Economic and environmental power dispatch for energy management systems applied to microgrids with wind energy resources and battery energy storage systems by Jhon Montano, John E. Candelo-Becerra, Cristian Escudero-Quintero, Juan Pablo Guzmán

“…The results show that the approach ensures technical efficiency while minimizing economic and environmental requirements. …”
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qDESH: a method to quantify disproportionately enlarged subarachnoid space hydrocephalus by Sofia Behndig, Afroditi Lalou, Jan Axelsson, Jenny Larsson, Anders Wåhlin, Pavel Ryska, Ondrej Slezak, Katrine Riklund, Jan Zizka, Jan Malm, Anders Eklund

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H-Darrieus Wind Turbine with Blade Pitch Control by I. Paraschivoiu, O. Trifu, F. Saeed

“…The azimuthal variation of the blades' pitch angle is modeled with an analytical function whose coefficients are used as variables in the optimization process. …”
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ASSESSING THE FARMERS’ SATISFACTION WITH THE PARTICIPATORY COCONUT PLANTING PROJECT (PCPP) USING REGRESSION ANALYSIS by Leomarich F. CASINILLO

“…The data were summarized through descriptive calculations and determine the association of variables with the aid of regression analysis. Results of the study have depicted that coconut farmers, on average, are satisfied with the different functions of PCPP in regard to their farming activities. …”
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DC algorithm for estimation of sparse Gaussian graphical models. by Tomokaze Shiratori, Yuichi Takano

“…Specifically, we convert the cardinality constraint into an equivalent constraint based on the largest-K norm, and reformulate the resultant constrained optimization problem into an unconstrained penalty form with a DC (difference of convex functions) representation. To solve this problem efficiently, we design a DC algorithm in which the graphical lasso algorithm is repeatedly executed to solve convex optimization subproblems. …”
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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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Radar-equivalent snowpack: reducing the number of snow layers while retaining their microwave properties and bulk snow mass by J. Meloche, N. R. Leroux, B. Montpetit, V. Vionnet, C. Derksen

“…A reduction in the mathematical complexity of SWE retrieval cost functions and a reduction in computation of up to 80 % can be gained by using fewer layers in the SWE retrieval.…”
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Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflow by Amin Gharehbaghi, Redvan Ghasemlounia, Farshad Ahmadi, Rasoul Mirabbasi, Ali Torabi Haghighi

“…The Pearson’s correlation coefficient (PCC) and Cosine Amplitude Sensitivity (CAS) as feature (input) selection process determine the only precipitation (P m ) as the most effective input variable among a list of on-site potential climate time series parameters recorded in the study area. …”
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Modeling Overall Survival in Patients With Pancreatic Cancer From a Pooled Analysis of Phase II Trials by Eva Rahman Kabir, Faruque Azam, Tanisha Tabassum Sayka Khan, Hasina Yasmin, Namara Mariam Chowdhury, Syeda Maliha Ahmed, Baejid Hossain Sagar, Nasrin Ahmed Tahrim

“…The relationship between predictors and OS was explored by a gamma generalized linear model (GLM) with a log‐link function and compared with linear models. Results The Spearman rank correlation coefficient between PFS/TTP and OS was 0.88 (95% confidence interval [CI] 0.85–0.89; p < 0.0001; n = 610) and between ORR and OS was 0.58 (0.52–0.64; p < 0.0001; n = 514). …”
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Mapping sage‐grouse fence‐collision risk: Spatially explicit models for targeting conservation implementation by Bryan S. Stevens, David E. Naugle, Brian Dennis, John W. Connelly, Tim Griffiths, Kerry P. Reese

“…However, research also suggested sage‐grouse collision was highly variable, and managers implementing mitigation desire targeting tools to prioritize mitigation efforts as a function of risk. …”
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Optimized integration of photovoltaic systems and distribution static compensators in distribution networks using a novel discrete-continuous version of the adaptive JAYA algorithm... by Paolo Iván Cubillo-Leyton, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña

“…For comparison, the discrete-continuous versions of the vortex search algorithm (VSA), the sine-cosine algorithm (SCA), Phasor Particle Swarm Optimization (PPSO), New Self-Organising Hierarchical PSO (NHPSO-JTVAC), Differential Evolution (DE), Gold Search Optimization (GSO) and the classical version of JAYA are used, validating the effectiveness of our proposal on the 33- and 69-bus test systems while considering variable generation and demand. In terms of the best solution, the average solution, and the required processing times, the AJAYA-SA strategy yields the best results in both test systems, making it the most efficient method to solve the problem under study.…”
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Analysis of the dynamic impact factor of Song Phan bridge under random loads collected from the Dau Giay weighing station and road management Area IV by Xuan Toan Nguyen, Cong Thuat Dang, Thi Kim Loan Nguyen

“…The research findings indicate that the probability distribution of the random variables is highly complex. Furthermore, the Dynamic Impact Factor corresponding to the overload loads from Road Management Area IV tends to increase and exceeds the dynamic coefficients currently utilized in bridge design standards, according to AASHTO and TCVN 11823-13:2017.…”
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Optimization of household medical waste recycling logistics routes: Considering contamination risks. by Jihui Hu, Ying Zhang, Yanqiu Liu, Jiaqi Hou, Aobei Zhang

“…To enhance the realism of the simulation, traffic congestion is integrated into the vehicle speed function, reflecting the urban roads' variability. …”
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Combined analysis of 16S rRNA gene sequencing data reveals core vaginal bacteria across livestock species by Lucille C. Jonas, Lucille C. Jonas, Curtis R. Youngs, Stephan Schmitz-Esser, Stephan Schmitz-Esser

“…Recent publications have uncovered a high degree of variability of the livestock vaginal microbiota, making it difficult to focus functional research on individual microorganisms. …”
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Hydrodynamic and sensitivity analysis of a polymeric calendering process for non-Newtonian fluids with temperature-dependent viscosity by Ali Fateh, Zahid Muhammad, Farmer M., Al Taisan Nada, Faqihi Abdullah A., Souayeh Basma, Raju S. Suresh Kumar, Alam Mir Waqas

“…Additionally, using the response surface method, Nusselt number (Nu)(\text{Nu}), sheet thickness HH0\left(\phantom{\rule[-0.75em]{}{0ex}},\frac{H}{{H}_{0}}\right), and shear stress (Sxy)({S}_{xy}), simulations were carried out to investigate the influence of variable viscoelastic parameters on the response functions (Nu\text{Nu}, HH0\frac{H}{{H}_{0}}, and Sxy{S}_{xy}). …”
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Optimization by RSM of reinforced concrete domes with meridian ribs, under static loading. by Logzit N., Raouache E., Bentoumi M., Bentoumi A., Khababa I.

“…Ultimately, a cost-oriented objective function is derived, incorporating a load-bearing capacity coefficient. …”
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Distinctive Gait Variations and Neuroimaging Correlates in Alzheimer's Disease and Cerebral Small Vessel Disease by Xia Zhou, Wen‐Wen Yin, Chao‐Juan Huang, Si‐Lu Sun, Zhi‐Wei Li, Ming‐Xu Li, Meng‐Meng Ren, Ya‐Ting Tang, Jia‐Bin Yin, Wen‐Hui Zheng, Chao Zhang, Yu Song, Ke Wan, Yue Sun, Xiao‐Qun Zhu, Zhong‐Wu Sun

“…Gait metrics included the timed up and go (TUG) test, dual‐task TUG (DTUG) test, Berg balance scale (BBS), dual‐task cost (DTC), step length, gait speed, cadence and coefficient of variation of gait. The relationships among structural and perfusion variations, gait metrics and cognitive function were examined. …”
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