25 papers · ranked by Valyu relevance
Martin Cousineau, Vedat Verter, Susan A. Murphy, Joëlle Pineau
a HEC Montréal, Department of Logistics and Operations Management, 3000, chemin de la Côte-Sainte-Catherine, Montréal, Québec H3T 2A7, Canada b Michigan State University, Broad College of Business, Department of Supply Chain Management, 632 Bogue St., East Lansing, Michigan 48824, USA c Harvard University, John A.…
Authors not listed
While the method of manual inspection reliably produces correct results at the introductory level, it can often appear untidy and unintuitive and lacks teachable depth. This paper presents a novel alternative approach designed to achieve the same outcomes as manual inspection but with enhanced clarity. It serves as…
Etienne Peyrot, Raphaël Porcher, François Petit
Causal inference in observational studies has advanced significantly since Rosenbaum and Rubin introduced propensity score methods. Inverse probability of treatment weighting (IPTW) is widely used to handle confounding bias. However, newer methods, such as energy balancing (EB), kernel optimal matching (KOM), and…
Tal Sarig, Tal Galili, Roee Eilat
Surveys are an important research tool, providing unique measurements on subjective experiences such as sentiment and opinions that cannot be measured by other means. However, because survey data is collected from a self-selected group of participants, directly inferring insights from it to a population of interest, or…
John F Mulvey, Alicia Lundby, Guoqiang Yu
We specify that the task is to allocate a set of preselected samples with a number of known covariates into batches of a specified size, so as to maximize the balance of a pre-specified set of the covariates. These mandatory inputs are summarized in [vbag048-F1]. We use the balance of covariates to refer to the degree…
Authors not listed
We present a vector-based method to balance chemical reactions. The algorithm builds candidates in a deterministic way, removes duplicates, and always prints coefficients in the lowest whole-number form. For redox cases, electrons and protons/hydroxide are treated explicitly, so both mass and charge are balanced. We…
Guilherme W. F. Barros, Marie Eriksson, Jenny Häggström, Mohamed R. Abonazel
'Mohamed R. Abonazel'] In observational studies weighting techniques are often used to overcome bias due to confounding. Modeling approaches, such as inverse propensity score weighting, are popular, but often rely on the correct specification of a parametric model wherein neither balance nor stability are targeted.…
Chonghuan Zhang, Adarsh Arun, Alexei Lapkin
Computer Aided Synthesis Planning (CASP) development of reaction routes requires understanding of complete reaction structures. However, most reactions in the current databases are missing reaction co-participants. Although reaction prediction and atom mapping tools can predict major reaction participants and trace…
Yuki Matsuura, Masahiro Kokubu, Yosuke Sakairi
The purpose of the present study was to compare learners' movement variability while maintaining balance and the ability to recover balance using the kinesthetic-experiential learning (KEL) method of implicit learning and the model-mastery learning (MML) method of explicit learning. The participants were 29 healthy…
Haedi E Thelen, Todd A Miano, Luke Keele
Balancing weights are an alternative estimation method for IPTWs; the former are designed to directly target balance among covariates. There are many approaches for estimating balancing weights. However, they are all based on an optimization problem that minimizes imbalance subject to a constraint on the dispersion of…
Clement Ma, Alina Lee, Darren Courtney, David Castle + 1 more
Background Stepped-wedge cluster randomized trials (SWCRTs) are a type of cluster-randomized trial in which clusters are randomized to cross-over to the active intervention sequentially at regular intervals during the study period. For SWCRTs, sequential imbalances of cluster-level characteristics across the random…
Maciej Beręsewicz
This paper proposes a simple, yet powerful, method for balancing distributions of covariates for causal inference based on observational studies. The method makes it possible to balance an arbitrary number of quantiles (e.g., medians, quartiles, or deciles) together with means if necessary. The proposed approach is…
Hiroshi Yokoyama, Yoshihiro Noda, Masataka Wada, Mayuko Takano + 1 more
The excitation and inhibition (E/I) balance of neural circuits is a crucial index reflecting neurophysiological homeostasis. Although several cutting-edge methods have been established to assess E/I balance in an intact brain, they have inherent limitations, such as difficulties in tracking changes in E/I balance over…
Samane Amini, Iman Kardan, Ajay Seth, Alireza Akbarzadeh
Human gait simulation plays a crucial role in providing insights into various aspects of locomotion, such as diagnosing injuries and impairments, assessing abnormal gait patterns, and developing assistive and rehabilitation technologies. To achieve more realistic results in gait simulation, it is necessary to utilize a…
Le Mouel Charlotte
The trajectory of the body center of mass (CoM) is critical for evaluating balance. The position of the CoM can be calculated using either kinematic or kinetic methods. Each of these methods has its limitations, and it is difficult to evaluate their accuracy as there is no ground truth to which the CoM trajectory can…
Authors not listed
This paper introduces Post-Inspection Analysis (PIA), a concept for understanding and reverse engineering balanced equations of similar reactions. Here we explore the idea that balanced equations contain useable information observed by grouping and analysing similar equations, allowing us to uncover observations that…
Hiroshi Yokoyama, Keiichi Kitajo
Recent neuroscience studies have suggested that controlling the excitation and inhibition (E/I) balance is essential for maintaining normal brain function. However, while control of time-varying E/I balance is considered essential for perceptual and motor learning, an efficient method for estimating E/I balance changes…
Adrian Stando, Mustafa Çavuş, Przemysław Biecek
Imbalanced data poses a significant challenge in classification as model performance is affected by insufficient learning from minority classes. Balancing methods are often used to address this problem. However, such techniques can lead to problems such as overfitting or loss of information. This study addresses a more…
Wei Luo, Zhirui Huang, Hao Li, Tao Zhong + 2 more
Objectives This study investigates the impact of five distinct stance widths on static balance and limits of stability in healthy adults under varying visual conditions, specifically with eyes open and closed. Methods The Prokin Balance Instrument was used to evaluate static balance with both eyes open and closed, as…
Ruud A. J. Koster, Leila Alizadehsaravi, Jaap H. van Dieën, Sjoerd M. Bruijn + 2 more
Balance training in older adults can lead to reduced centre of mass accelerations and reduced angular momenta after perturbations of unipedal stance, reflecting an enhanced ability to recover balance. It has been suggested that the co-occurring changes in muscle synergies indicated strategy-specific adaptations in…
Authors not listed
Two kinetic schemes of the general modifier mechanism have been analysed in a quasi-steady state approximation, assuming that the reaction product concentration is negligible (a natural assumption for the initial rate method) and without additional simplifying assumptions. The characteristic equations have been…
Pierre Tremouilhac, Matthias Döring, Johannes Haubold, sylvia Vanderheiden + 4 more
The digitalization of processes in experimental laboratories often encounters obstacles with devices that lack connectivity with other systems. We propose a method to record and use values from such devices, demonstrating its effectiveness for weighing processes conducted using laboratory balances. Our developments…
Josephine R Paris, James R Whiting, Joan Ferrer Obiol, Kimberly A Hughes + 1 more
Balancing selection is a powerful evolutionary force that maintains adaptive genetic and phenotypic diversity. Although methods to detect the footprints of balancing selection in genomic data have advanced, we still lack a clear understanding of how repeatable these signatures appear in wild populations, and how this…
Authors not listed
The development of polymer materials for real-world applications requires careful assessment of material degradation over time and under environmental exposure. Such tests often necessitate frequent monitoring of test specimens, which can become burdensome for researchers. In this study, we present the application of a…
Hiroshi Yokoyama, Keiichi Kitajo
Data assimilation (DA) is widely used as a data-driven system identification method, enhancing our understanding of the generative mechanisms in the observational data based on the identified model and its parameters. Due to this advantage, DA has gradually begun to be applied in neuroscience studies. Recently, we…