Universal metrics for predicting the activity of a wide range of fuel-cell catalysts by Ganesan Elumalai, Satoshi Tominaka

“…By evaluating various protocols for extracting activity metrics from the datasets of fuel-cell catalysts, we establish an optimised protocol that accounts for experimental and analytical errors in obtaining universal activity metrics. Conventional methods relying on data obtained at a fixed potential are inadequate due to variable contributions of mass transport among the different materials. …”
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Applying multivariate generalizability theory to compose and rank the evaluation scores of college teachers’ teaching ability by Desheng Yan, Guangming Li

“…However, multivariate generalizability theory (MGT) can make up for their deficiencies and is suitable to make decisions for the evaluation of college teachers’ teaching ability that shows its new role. 568 students from 16 classes across three colleges in China participated in evaluating 16 teachers’ teaching ability using the Teachers’ Teaching Level Evaluation Scale for Colleges (TTLES-C), and a multivariate nested unbalanced design (s·: t·) was used to collect the data. The mGENOVA software was used for the analysis of MGT. …”
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Analysis of Drought Evolution Characteristics in Haihe River Basin Based on Sub-Period Prediction Model by HAN Dongmei, JIANG Shanshan

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Creation of ICESat-2 Footprint Level Global Geodetic Control Points Using Crossover Analysis by Amy Neuenschwander, Eric Guenther, Lori Magruder, Jonathan Sipps

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Pixel 5 Versus Pixel 9 Pro XL—Are Android Devices Evolving Towards Better GNSS Performance? by Julián Tomaštík, Jorge Hernández Olcina, Šimon Saloň, Daniel Tunák

“…The analysis focuses on signal quality and positioning accuracy, derived using raw GNSS measurements. …”
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Performance Analysis of Optical Wireless Channel Based on Beamforming Techniques Using Advanced Modulation Schemes by Lwaa Faisal Abdulameer, Adil Fadhil Mushatet, Tania Tariq Salim

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Comparative Analysis of Wind Energy Potential with Nakagami and Weibull Distribution Methods for Wind Turbine Planning by Suriadi Suriadi, Muna Nabilah, Muzakir Zainal, Muhammad Yanis, Marwan Marwan, Muzailin Affan

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STABILITY ANALYSIS AND PERFORMANCE OF KALMAN FILTERING AND ROBUST KALMAN FILTERING ON UNCERTAIN CONTINUOUS-TIME SYSTEMS by Budi Rudianto, Muhafzan Muhafzan, Mahdhivan Syafwan, Syafrizal Sy

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Human Identification Based on Electroencephalogram Analysis When Entering a Password Phrase on a Keyboard by Alexey Sulavko, Alexander Samotuga

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Investigating the Role of Fisheries Production on Indonesia’s Economic Growth: Long-Run and Short-Run Analysis by PUTRI RIZKA CITANINGATI, SRI HERIANINGRUM

“…This research was based on the time series data of uses an explanatory quantitative approach with the vector error correction model (VECM) analysis technique. …”
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Establishing a periodic SM model with Fourier analysis for enhancing global soil moisture forecasting by Jinlong Zhu, Shengyi Wang, Qingliang Li

“…This approach is integrated with Long Short Term Memory (LSTM) networks to enhance the accuracy of global SM prediction. Fourier analysis transforms time series data of SM into frequencies and amplitudes, capturing its intrinsic periodic characteristics. …”
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EFFECTS OF AGRICULTURAL EXPORTS ON ECONOMIC GROWTH IN NIGERIA: A CO -INTEGRATION ANALYSIS (1980-2019) by Ahmed Olugbenga BUSARI, Adetunji Lawrence KEHINDE, Abolupe Oluyemi AYANBOYE

“…Data were analysed using descriptive statistics, Augmented Dickey-Fuller statistics, Johansen’s co-integration method, and vector error correction mechanism (VECM). …”
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Filter Learning-Based Partial Least Squares Regression and Its Application in Infrared Spectral Analysis by Yi Mou, Long Zhou, Weizhen Chen, Jianguo Liu, Teng Li

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A quantitative comparison of single-dye tracking analysis tools using Monte Carlo simulations. by Laura Weimann, Kristina A Ganzinger, James McColl, Kate L Irvine, Simon J Davis, Nicholas J Gay, Clare E Bryant, David Klenerman

“…For the first case we find that the MSD gives more or equally accurate results than the JD analysis (relative errors of D-values <6%). If two diffusing species are present or a particle undergoes a motion change, the JD analysis successfully distinguishes both species (relative error <5%). …”
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Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis by Ben Gabrielson, Hanlu Yang, Trung Vu, Vince Calhoun, Tulay Adali

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FOREIGN DIRECT INVESTMENT, RENEWABLE ENERGY AND ECONOMIC GROWTH: AN EMPIRICAL ANALYSIS FROM SOUTH AFRICA by Ahmed Oluwatobi Adekunle

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A Novel Approach of Optimal Signal Streaming Analysis Implicated Supervised Feedforward Neural Networks by Farhan Ali, He Yigang

“…The analysis and interpretation of enormous amounts of data generated by 5G networks present several challenges related to noise, precision, and feasibility validation. …”
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SCGAN-enhanced surrogate modeling for FEM analysis of induction motors: A practical use case by Unai Salaberria-Flaño, Antonio Nappa, Arkaitz Artetxe, Gurutz Artetxe, Iñaki Inza

“…Surrogate modeling is a powerful approach for industrial applications that provides data-driven approximations of complex physical or numerical simulators in exchange for minimal computational cost. …”
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Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanks by Yuzhuo Ma, Yanlong Zhao, Ji-Feng Zhang, Wenjian Bi

“…Through extensive simulations and real data analyses of UK Biobank data, we demonstrate that SPAGxECCT and SPAGxEmixCCT are scalable to analyze large-scale study cohort, control type I error rates effectively, and maintain power.…”
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Risk Analysis of the Information System of the Riau Provincial Plantation Agency Website using ISO 31000 by Ustara Dwi Fernanda, Mega wati, Nesdi Evrilyan Rozanda, Febi Nur Salisah

“…Eight of them were categorized as medium-level risks, including lightning, fire, human error, data corruption, server downtime, hardware damage, overheating, and power outages. …”
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