Fall detection via human posture representation and support vector machine by Kaibo Fan, Ping Wang, Yan Hu, Bingjie Dou

“…Our fall detection system achieves up to 95.2% fall detection accuracy on a public fall dataset.…”
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Sample Size Calculation for Controlling False Discovery Proportion by Shulian Shang, Qianhe Zhou, Mengling Liu, Yongzhao Shao

“…We illustrate the method using estimated correlations from a prostate cancer dataset.…”
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Posttransplant Metabolic Syndrome by M. Shadab Siddiqui, Richard K. Sterling

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Higher-form symmetries, Bethe vacua, and the 3d-3d correspondence by Julius Eckhard, Heeyeon Kim, Sakura Schäfer-Nameki, Brian Willett

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Digital finance and equitable industrial carbon emissions: an empirical analysis of Chinese cities by Heyu Lu, Zongfa Wu

“…While existing literature has explored the impact of DF on carbon emission reduction, the aspect of equity in carbon emissions has been largely neglected. Using a panel dataset of Chinese cities from 2011 to 2020, this study calculates the equitable industrial carbon emission (EICE) for 276 cities in China and quantitatively studies the effect of DF on EICE. …”
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Nitric Oxide Levels in Patients with Psoriasis Treated with Methotrexate by Nilgun Solak Tekin, Nilsel Ilter, Banu Sancak, Muge Guler Ozden, Mehmet Ali Gurer

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Like Mother, Like Daughter. Intergenerational Transmission of Infant Mortality Clustering in Zeeland, the Netherlands, 1833-1912 by Ingrid K. van Dijk, Kees Mandemakers

“…In this paper, we focus on the intergenerational transmission of mortality clustering in the Netherlands in the province of Zeeland between 1833 and 1912, using LINKS Zeeland, a dataset containing family reconstitutions based on civil certificates of birth, marriage and death. …”
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Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms by Kaushalya Dissanayake, Md Gapar Md Johar

“…., decision tree, random forest, support vector machine, K-nearest neighbor, logistic regression, and Gaussian naive Bayes, have been applied to Cleveland heart disease dataset. The feature subset selected by the backward feature selection technique has achieved the highest classification accuracy of 88.52%, precision of 91.30%, sensitivity of 80.76%, and f-measure of 85.71% with the decision tree classifier.…”
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Relation of Subjective Quality of Life to Motor Symptom Profile in Parkinson's Disease by Erica R. Appleman, Karina Stavitsky, Alice Cronin-Golomb

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Using citizen science Raspberry Shake seismometers to enhance earthquake location and characterization: a case study from Wellington, New Zealand by Bethany Hughes, Finnigan Illsley-Kemp, Eleanor Mestel, John Townend, Chantujan Chandrakumar, Raj Prasanna

“…We explore the integration of Raspberry Shake citizen seismometers with the national GeoNet seismic network to improve the precision of earthquake locations in Wellington, New Zealand. We use a dataset of 19 earthquakes between magnitudes 1.1 and 3.5 and between hypocentral distances of 22 km and 102 km. …”
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Rolling Bearing Fault Diagnostic Method Based on VMD-AR Model and Random Forest Classifier by Te Han, Dongxiang Jiang

“…The validity and superiority of proposed method are verified by an experimental dataset. Analysis results show that this method based on VMD-AR model can extract fault features accurately and RF classifier has been proved to outperform comparative classifiers.…”
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Large-Scale Measurements of Thermospheric Dynamics with a Multisite Fabry-Perot Interferometer Network: Overview of Plans and Results from Midlatitude Measurements by Jonathan J. Makela, John W. Meriwether, Aaron J. Ridley, Marco Ciocca, Michael W. Castellez

“…The network described is expandable, and as additional FPI sites are installed in North America, or elsewhere, the goal of providing the upper atmospheric research community with a robust dataset of neutral winds and temperatures can be achieved.…”
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A tool for managerial decision making in emerging economies, and asymmetric cost behavior: Evidence from Ecuador by Juan Carlos Aguirre-Quezada, Gabriela Duque-Espinoza, Fernando Córdova-León, Adrián Sigüencia-Muñoz

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Can household energy efficiency dampen crude oil price volatility in the United States? by Ojonugwa Usman, Oktay Ozkan, Chinazaekpere Nwani, Festus Victor Bekun, Andrew Adewale Alola

“…This study unveils whether household energy efficiency lower crude oil price volatility asymmetrically in the United States using the historical and forecast dataset that spans from 1970:Q1-2040:Q1. Applying the multivariate case of Quantile-on-Quantile Regression, the empirical results show that household energy efficiency dampens crude oil price volatility with a stronger connection in quantiles before the median quantiles of crude oil price volatility. …”
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TRAINING UNIVERSITY TEACHERS TO DELIVER NON-LINGUISTIC EDUCATIONAL COURSES IN ENGLISH by Evgeniya O. Frantcuzskaia, Valentina N. Deryusheva

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Broiler Management - The First 24 Hours by Gary D. Butcher, Amir H. Nilipour

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HSDP: A Hybrid Sampling Method for Imbalanced Big Data Based on Data Partition by Liping Chen, Jiabao Jiang, Yong Zhang

“…The classical classifiers are ineffective in dealing with the problem of imbalanced big dataset classification. Resampling the datasets and balancing samples distribution before training the classifier is one of the most popular approaches to resolve this problem. …”
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Measuring spatial - temporal of Yazd urban form using spatial metrics by saeed zanganeh

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Data Transmission Control of Vehicle Ad Hoc Network in Intelligent Transportation Systems for Smart Cities by Zhenhua Li, Guicai Yu

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Machine learning-based analyzing earthquake-induced slope displacement. by Jiyu Wang, Niaz Muhammad Shahani, Xigui Zheng, Jiang Hongwei, Xin Wei

“…This study evaluates the capabilities of various machine learning models, including artificial neural network (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost) in analyzing earthquake-induced slope displacement. A dataset of 45 samples was used, with 70% allocated for training and 30% for testing. …”
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