Critical energy distribution and fracture characteristics of heterogeneous rock under splitting condition by Hongguang JI, Zhen FU, Yuezheng ZHANG, Chunrui ZHANG, Dongsheng CHEN

“…The experimental results show: ① The deformation space variability coefficient at the 90% peak stress level of the rock can be used to evaluate the differences in rock deformation coordination, and it is approximately negatively correlated with the tensile strength of the specimen; ② The acoustic emission bi value shows a “fluctuating-rising-falling” trend during the loading process. …”
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A Novel Approach to Transient Fourier Analysis for Electrical Engineering Applications by Mariana Beňová, Branislav Dobrucký, Jozef Šedo, Michal Praženica, Roman Koňarik, Juraj Šimko, Martin Kuchař

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On solutions of certain compatible systems of quadratic trinomial Partial differential-difference equations by R. Mandal, R. Biswas

“…Appl. 483(2), 2020) and then construct some systems of certain quadratic trinomial partial differential-difference equations with arbitrary coefficients. Our objective is to investigate the forms of the finite order transcendental entire functions of several complex variables satisfying the systems of certain quadratic trinomial partial differential-difference equations on $\mathbb{C}^n$. …”
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An Algorithm for the Solution of Integro-Fractional Differential Equations with a Generalized Symmetric Singular Kernel by Sameeha A. Raad, Mohammed A. Abdou

“…Next, to solve this <b>MIE</b>, the authors apply a special technique to separate the variables and produce an integral equation in position with coefficients, in the form of an integral operator in time. …”
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Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation by Gemma Gerber, Ursula M. Scharler

“…However, little information exists on how each LIM-MCMC algorithm parameter affects the degree of empirical data variability introduced into the ensemble. Further, post hoc algorithm quality diagnostics with commonly used trace plots and the coefficient of variation (CoV) rarely address critical aspects of algorithm quality, such as (1) if the returned ensemble successfully targeted the solution space distribution (stationarity), (2) correlation between ensemble solutions (mixing), and (3) if the ensemble contains enough solutions to adequately capture input data variability (sampling efficiency). …”
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DESIGN OF BAND-PASS FILTERS WITH NON-EQUIRIPPLE FREQUENCY RESPONSES by Evgeniy N. Chervinskiy

“…The equations are formed by equating coefficients of variables raised to the same powers in transfer function (TF) expressions of designed and realized filters. …”
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Stochastic solutions of the geophysical KdV equation: Numerical simulations and white noise impact by Areej A. Almoneef, Abd-Allah Hyder, Mohamed A. Barakat, Abdelrheem M. Aly

“…This research explored stochastic soliton and periodic wave (SPW) solutions for the geophysical Korteweg-de Vries (KdV) equation with variable coefficients, incorporating the effects of Earth's rotation, fluid stratification, and topographical variations. …”
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Diabetes mellitus type 2: the relationship of baseline clinical, laboratory and echocardiographic parameters with long-term major adverse cardiovascular events by I. A. Bondar, A. A. Demin, D. V. Grazhdankina

“…The plasma level of the N-terminal propeptide of natriuretic hormone B-type (NT-proBNP) was determined. The variability of fasting blood glucose and intraday glycemic variability were measured by calculating the standard deviation (SD) and the coefficient of variation (CV) of at least 3 blood glucose values for 3 days. …”
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Comparative Evaluation of Feed-Forward Neural Networks for Predicting Uniaxial Compressive Strength of Seybaplaya Carbonate Rock Cores by Jose W. Naal-Pech, Leonardo Palemón-Arcos, Youness El Hamzaoui

“…This work presents a comprehensive evaluation of four feed-forward artificial neural network (ANN) architectures—radial basis function (RBF), Bayesian regularized (BR), scaled conjugate gradient (SCG), and Levenberg–Marquardt (LM)—to predict UCS from three readily measured variables: water content, interconnected porosity, and real density. …”
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A Novel Method for Inverting Deep-Sea Sound-Speed Profiles Based on Hybrid Data Fusion Combined with Surface Sound Speed by Qiang Yuan, Weiming Xu, Shaohua Jin, Xiaohan Yu, Xiaodong Ma, Tong Sun

“…By constructing a high-resolution regional sound speed field through WOA23 and historical SSP fusion, this method effectively mitigates spatiotemporal heterogeneity and seasonal variability. The artificial lemming algorithm (ALA) is introduced to optimize the inversion of empirical orthogonal function (EOF) coefficients, enhancing global search efficiency while avoiding local optimization. …”
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Home Spirometry for Post-COVID Recovery: A Clinical Validation Study of an Ultrasonic Device by Asli Gorek Dilektasli, Ayten Odabas, Ismet Polat, Abdurrahman Dogan, Guven Ozkaya, Ozge Aydin Guclu, Nilufer Aylin Acet Ozturk, Funda Coskun, Mehmet Karadag

“…FEV1/FVC ratios showed greater variability. Pulmonary function improved significantly over 12 weeks for both methods (<i>p</i> < 0.002). …”
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APPROXIMATE SOLUTION OF ONE PROBLEM ON ELECTRICAL OSCILLATIONS IN WIRES WITH THE USE OF POLYLOGARITHMS by P. G. Lasy, I. N. Meleshko

“…In addition, if the initial conditions in the problem are elementary functions, then the solution is also computed using elementary functions. …”
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Estimation of heat transfer parameters by using trained POD-RBF and Grey Wolf Optimizer by Minh Ngoc Nguyen, Nha Thanh Nguyen, Thien Tich Truong

“… The article presents a numerical model for estimation of heat transfer parameters, e.g. thermal conductivity and convective coefficient, in two-dimensional solid bodies under steady-state conduction. …”
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Span of Control in Teamwork and Organization Structure by Katarina Remenova, Zuzana Skorkova, Nadezda Jankelova

“…The results of non-parametric testing (Chi-Square Test of Independence) and rates of association between variables (using Cramér’s V and Phi coefficient and for ordinal variables, Kendall’s tau-b, GoodmanKruskal’s Gamma, Kendall’s tau-c and Somers’ d) indicate that the team size is not related to the level of management, which does not confirm the assumption that the largest teams work at the lowest management level and vice versa, that the team leader at the top level is in charge of the smallest number of people. …”
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Local calibration of JPCP transverse cracking and IRI models using maximum likelihood estimation by Rahul Raj Singh, Syed Waqar Haider, James Bryce

“…The approach uses measured data from the Michigan Department of Transportation's (MDOT) pavement management system (PMS) database for 70 jointed plain concrete pavement (JPCP) sections to calibrate and validate transfer functions. The MLE approach is combined with resampling techniques to improve the robustness of calibration coefficients. …”
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Relationship Between Physical Performance and Strength of the Ankle Muscles, Pain, and Kinesiophobia in Taekwondo Athletes With Chronic Ankle Instability by Beom-jun Kim, Ui-jae Hwang, Oh-yun Kwon

Multiparametric positron emission tomography/magnetic resonance imaging in nasopharyngeal carcinoma: Correlations between magnetic resonance imaging functional parameters and18F-fl... by Sheng-Chieh Chan, Shu-Hang Ng, Chih-Hua Yeh, Kai-Ping Chang

“…Materials and Methods: We enrolled 85 patients with primary NPC who simultaneously underwent18F-fluorodeoxyglucose PET/CT and PET/MRI before definitive treatment. The following variables were determined: (1) functional parameters from the MRI component, including perfusion values (Ktrans,kep,ve, and initial area under the enhancement curve) and apparent diffusion coefficient (ADC) values, and (2) PET parameters, including metabolic tumor volume (MTV). …”
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Canal Geometry, Flow Velocity, Dallisgrass (Paspalum dilatatum Poir.) Density and Soil Phosphorous Effects on Hydraulic Resistance of Vegetated Canals by Abolfazl Nasserı

“…Therefore, a regression model comprises both the roughness coefficient as a dependent variable and the flow velocity and canal slope as an independent variable is developed. …”
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Resting-State Brain Network Characteristics Related to Mild Cognitive Impairment: A Preliminary fNIRS Proof-of-Concept Study by Guohui Yang, Chenyu Fan, Haozheng Li, Yu Tong, Shuang Lin, Yashuo Feng, Fengzhi Liu, Chunrong Bao, Hongyu Xie, Yi Wu

“…Subject sRSFC strength and dRSFC variability coefficients were evaluated via fNIRS. The study evaluated the feasibility of using fNIRS to measure these connectivity metrics and compared resting-state brain network characteristics between the two groups. …”
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Development of a General Composite Scale (GENCOMS) for Progressive Neurodegenerative Diseases and Implications for the Assessment of Disease-Modifying Therapies by Samuel P. Dickson, Craig H. Mallinckrodt, Basia Rogula, Lauren C. Powell, Michele H. Potashman, Vladimir Coric, Gilbert J. L’Italien, Suzanne B. Hendrix

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