Cardiovascular autonomic neuropathy in chronic kidney disease: a study of kidney biopsy cases by Hideaki Kuno, Go Kanzaki, Rina Oba, Takaya Sasaki, Kotaro Haruhara, Kentaro Koike, Nobuo Tsuboi, Takashi Yokoo

“…Abstract Background The interplay between cardiac and kidney functions is mediated by the autonomic nervous system. …”
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Spatiotemporal Change Analysis and Multi-Scenario Modeling of Ecosystem Service Values: A Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration, China by Jing Duan, Pu Shi, Yuanyuan Yang, Dongyan Wang

“…The results of the scenario simulation showed that there was significant variability in ESV under different political orientations. (3) Hotspot analysis indicated that the ESV changes were clustered in the northeastern part and the eastern coastal region of the BTH. …”
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Genetically surface-modified Escherichia coli outer membrane vesicles targeting MUC1 antigen in cancer cells by Sedthawut Laotee, Wanatchaporn Arunmanee

“…Their ability to be modified via genetic engineering for the incorporation and display of heterologous proteins enhances their functionality. In this study, we demonstrated a bio-ligation approach to display single-chain variable fragments (scFv) on the OMV surface using the SpyTag/SpyCatcher system. …”
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Energy optimization through morphing blade design under structural constraints: a case study on the NREL 1.5 MW wind turbine by Najafian Arezoo, Jahangirian Alireza

“…The proposed approach applies targeted morphing to the leading and trailing edges of the blade sections, utilizing a streamlined parameterization framework with four shape variables per airfoil: two deflection angles and two deformation starting points. …”
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A reliability model to predict failure behaviour of overlying strata in groundwater-rich coal mine by Ruirui Li, Xiaowei Hou, Luwang Chen, Yingxin Wang, Fuyou Huang, Lanting Wang

“…Rock strength parameters, including cohesion, internal friction angle, uniaxial tensile strength, and softening coefficient, are treated as random variables to determine the rock failure uncertainty. …”
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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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Eficiência de uso da radiação solar na produtividade do trigo decorrente da adubação nitrogenada Solar radiation use efficiency on the wheat grain yield as a function of nitrogen f... by Alexandre B. Heinemann, Luís F. Stone, Agostinho D. Didonet, Maria da G. Trindade, Bruno B. Soares, José A. A. Moreira, Abelardo D. Cánovas

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MONITORING OF THE CURRENT STATUS OF STUDENTS AS A MEANS OF INCREASING THE EFFECTIVENESS OF EDUCATIONAL PROCESS by M. V. Alyushin, L. V. Kolobashkina

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Price discovery and market efficiency of cardamom in India by A.N. Vijayakumar

“…Design/methodology/approach – This study used Johansen co-integration, vector error correction model, Granger causality and regression with dummy variables to understand a day of the week effect in high-value agri-commodity of cardamom e-auction prices. …”
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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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Frequency function and damping function in assessment of dynamic processes in mechanical oscillatory systems with symmetry by A. V. Eliseev

“…Mathematical models are based on Lagrange formalism, matrix methods, and elements of the theory of functions of a complex variable.Results. A method is proposed for constructing frequency functions and damping functions for a class of mechanical oscillatory two-degree-of-freedom systems based on the analytical expressions that reflect features of the ratio of the potential and kinetic energy of the system considering viscous friction forces represented by the dissipative function. …”
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A New Paradigm in AC Drive Control: Data-Driven Control by Learning Through the High-Efficiency Data Set—Generalizations and Applications to a PMSM Drive Control System by Madalin Costin, Ion Bivol

“…Knowing a reasonable number of optimal efficiency operation points, an interpolation Radial Base Function (RBF) control was built. …”
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Modeling the Public Transport Networks: A Study of Their Efficiency by Mary Luz Mouronte-López

“…We have found that this process may be appropriately explained by a generalized linear model (GLM) using local, global, and quasilocal similarity indexes as explanatory variables. In modeling, the response variable was described by a binomial probability density function, and the logit function was used as a link function. …”
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Axl contributes to efficient migration and invasion of melanoma cells. by Hanshuang Shao, Diana Teramae, Alan Wells

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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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A POSSIBILISTIC APPROACH TO CALCULATING THE INTERNAL RATE OF RETURN FOR INVESTMENT PROJECTS WITH FUZZY CASH FLOWS by E. S. Volkova, V. B. Gisin

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IMPACT OF INTEGRATED SUPERVISION ON VOLUNTARY PENSION INSURANCE EFFICIENCY by Tatjana Rakonjac-Antić, Vesna Rajić

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IMPACT OF INTEGRATED SUPERVISION ON VOLUNTARY PENSION INSURANCE EFFICIENCY by Tatjana Rakonjac-Antić, Vesna Rajić

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Enhancing building energy efficiency with thermal mass optimization by Yichen Han, Zhengyu He, Shuangdui Wu, Yuqiu Liu, Yingkai Lian, Chaohong Wang, Jiajia Feng, Zhengnan Zhou

“…However, effectively harnessing this energy remains challenging due to the spatiotemporal variability of heat storage–release behavior in building components, which often misaligns with building operational demands. …”
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Variational quantum algorithm for low-dimensional systems in the Pauli basis by D.O. Golov, N.A. Petrov, A.N. Tsirulev

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