An Objective and Subjective Evaluation of Masticatory Efficiency in Periodontal Patients Before and After Basic Periodontal Therapy: A Case Series Study by María José Moya-Villaescusa, Claudia López-Lisón, José María Montoya-Carralero, Alfonso Jornet-García, Arturo Sánchez-Pérez

“…Methods: A prospective, longitudinal, case series study was carried out in 42 periodontal patients treated at the University Odontology Clinic. Masticatory efficiency before and after basic periodontal treatment was assessed using both objective (HueCheck Gum test) and subjective (Quality of Masticatory Function Questionnaire: QMFQ) methods. …”
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Variable convergence train noise active control algorithm based on feedforward reference by LI Tao, HE Yuyao, WANG Ning, LI Zhuang, SHEN Zhaoyuan, XIAO Gang

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A novel boundary meshfree method with two kinds of interpolations for spatially varying coefficient orthotropic thermal transfer by Jing Ling, Dongsheng Yang, Chengpeng Liu, Wei Gong

“…Four examples are computed including or excluding variable thermal sources. The proposed method's reliability and precision have been confirmed for thermal transfer in orthotropic media with spatially varying coefficients. …”
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Long-Term Teleconnections Between Global Circulation Patterns and Interannual Variability of Surface Air Temperature over Kingdom of Saudi Arabia by Abdullkarim K. Almaashi, Hosny M. Hasanean, Abdulhaleem H. Labban

“…The empirical orthogonal function (EOF) method is employed for analyzing SAT due to its effectiveness in extracting dominant patterns of variability during the winter (DJF) and summer (JJA) seasons. …”
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Onion production costs as a function of water content and soil tillage by Jardênia R. Feitosa, Haroldo C. Fernandes, Paulo R. Cecon, Mauri M. Teixeira, Anderson G. Costa, Edival C. da Silva

“…The costs related to mechanized operations, manual operations, inputs and crop irrigation were determined. The economic efficiency was evaluated through the variables total cost and unit cost of onion production, gross revenue, net revenue and internal rate of return. …”
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Addressing Challenges in Simulating Inter–Annual Variability of Gross Primary Production by Ranit De, Shanning Bao, Sujan Koirala, Alexander Brenning, Markus Reichstein, Torbern Tagesson, Michael Liddell, Andreas Ibrom, Sebastian Wolf, Ladislav Šigut, Lukas Hörtnagl, William Woodgate, Mika Korkiakoski, Lutz Merbold, T. Andrew Black, Marilyn Roland, Anne Klosterhalfen, Peter D. Blanken, Sara Knox, Simone Sabbatini, Bert Gielen, Leonardo Montagnani, Rasmus Fensholt, Georg Wohlfahrt, Ankur R. Desai, Eugénie Paul‐Limoges, Marta Galvagno, Albin Hammerle, Georg Jocher, Borja Ruiz Reverter, David Holl, Jiquan Chen, Luca Vitale, M. Altaf Arain, Nuno Carvalhais

“…Both models simulated hourly GPP and were parameterized for (a) each site–year, (b) each site with an additional constraint on IAV (CostIAV), (c) each site, (d) each plant–functional type, and (e) globally. This was followed by forward runs using calibrated parameters, and model evaluations using Nash–Sutcliffe efficiency (NSE) as a model‐fitness measure at different temporal scales across 198 eddy‐covariance sites representing diverse climate–vegetation types. …”
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Characterizing the effects of age, puberty, and sex on variability in resting-state functional connectivity in late childhood and early adolescence by Kelly A. Duffy, Andrea Wiglesworth, Donovan J. Roediger, Ellery Island, Bryon A. Mueller, Monica Luciana, Bonnie Klimes-Dougan, Kathryn R. Cullen, Mark B. Fiecas

“…We found decreased variability in global efficiency across the age range, and increased variability within the frontolimbic network driven primarily by those assigned female at birth (AFAB). …”
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On empirical Bayes estimation of multivariate regression coefficient by R. J. Karunamuni, L. Wei

“…We investigate the empirical Bayes estimation problem of multivariate regression coefficients under squared error loss function. In particular, we consider the regression model Y=Xβ+ε, where Y is an m-vector of observations, X is a known m×k matrix, β is an unknown k-vector, and ε is an m-vector of unobservable random variables. …”
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VBP-YOLO-prune: Robust apple detection under variable weather via feature-adaptive fusion and efficient YOLO pruning by Haohai You, Hao Wang, Zhanchen Wei, Chunguang Bi, Lijuan Zhang, Xuefang Li, Yingying Yin

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An Analytical Approximation of the Stress Function for Conical Flywheels by Miguel Garcia, Onofre Orozco-López, Jesús Uribe-Chavira, Andrés Blanco-Ortega

“…Starting from a stress function, the model was simplified under the assumption of a small-thickness gradient, allowing the derivation of a closed-form solution. …”
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Morpho-functional groups as an efficient tool for monitoring and management of the Billings reservoir (São Paulo, Brazil) by Ana Carolina Peixoto Chamizo, Cacilda Thais Janson Mercante, Munique de Almeida Bispo Moraes, Clóvis Ferreira do Carmo, Matheus Barbosa Herbst de Oliveira, João Alexandre Saviolo Osti

“…This research applied the Morphology-Based Functional Groups (MBFGs) combined with classical approaches, such as community descriptor species and phytoplankton classes in the Billings reservoir. …”
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Optimal Sequencing Control of Variable-speed Air-source Heat Pumps in Office Building by Liu Zhaohui, Li Zhenyu, Tan Hongwei, Xu Wen, Feng Wenbo, Yi Biyi

“…To develop this strategy, a variable-speed heat-pump model and the objective function for optimization of the heat-pump sequence control were first established, so as to determine the optimal solutions under partial building loads. …”
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The constrained-disorder principle defines the functions of systems in nature by Yaron Ilan

“…The Constrained Disorder Principle (CDP) defines all systems in nature by their degree of inherent variability. Per the CDP, the intrinsic variability is mandatory for their proper function and is dynamically changed based on pressures. …”
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Influence of Tokar Gap wind jet on latent heat flux of Central Red Sea: empirical orthogonal function approach by Jamaan A. Turki, Abdullah M. Al-Subh, Fawaz Madah

“…The empirical orthogonal functions (EOF) analysis method was used to determine the modes of LHF variabilities. …”
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An Improvement of Least Squares Theory: Theory of Least p-Variances Approximation and p-Uncorrelated Functions by Mohammad Masjed-Jamei

“…In this direction, some new concepts, such as p-covariances with respect to a fixed variable, p-correlation coefficients with respect to a fixed variable, and p-uncorrelatedness with respect to a fixed variable, are defined in order to establish least p-variance approximations. …”
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Efficiency of structural brain networks mediates age-associated differences in executive functioning in older adults by Geraldine Rodríguez-Nieto, Geraldine Rodríguez-Nieto, Caroline Seer, Caroline Seer, Hamed Zivari Adab, Hamed Zivari Adab, Antonio Jimenez-Marin, Sima Chalavi, Sima Chalavi, Amirhossein Rasooli, Amirhossein Rasooli, Jesús M. Cortés, Jesús M. Cortés, Jesús M. Cortés, Stefan Sunaert, Stephan P. Swinnen, Stephan P. Swinnen

“…Further regional efficiency analyses identified the nodes that contributed to the mediation effect of local efficiency.DiscussionThese results shed light on the shared variability among the integrity of structural brain networks and EF at older age. …”
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Neural Network Method of Controllers’ Parametric Optimization with Variable Structure and Semi-Permanent Integration Based on the Computation of Second-Order Sensitivity Functions... by Serhii Vladov, Lukasz Scislo, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Victoria Vysotska

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Deformation Characteristic Analysis and Engineering Application of a Variable Cross-sectional Flexible Pin by Chen Hengjian, Xiao Shuhong

“…The deflection equation and slope-deflection equation of the variable cross-sectional flexible pin are obtained by using the Green's function method. …”
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A Hierarchical Archimedean Copula (HAC) model for climatic variables: an application to Kenyan data by Kevin Otieno, Linda Chaba, Linda Chaba, Evans Omondi, Evans Omondi, Collins Odhiambo, Collins Odhiambo, Bernard Omolo, Bernard Omolo

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Analysis of effects of meteorological variables on dengue incidence in Bangladesh using VAR and Granger causality approach by Md. Jamal Hossain, Nazia Sultana, Anwesha Das, Fariea Nazim Jui, Md. Kamrul Islam, Md. Mijanoor Rahman, Mohammad Mafizur Rahman

“…BackgroundDengue fever is a serious public health issue in Bangladesh, where its incidence rises with the monsoon. Meteorological variables are believed to be responsible factors among others. …”
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