Stock prediction using support vector regression by Manasa, Abburu.

“…Support Vector Machine for Regression (SVM-R) has been proven to be more advantageous than BP when it comes to handling financial data. It needs fewer parameters to learn and has the potential to handle noise, randomness and chaos as will be discussed in this paper. …”
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Characterizing Speech Motor Pattern in Minimally Verbal Adults with Autism Spectrum Disorder via Surface Electromyography by Protyasha, Nishat Fahmida

“…Furthermore, the analysis of eigenvalues suggests lower complexity in motor coordination among mvASD participants, reflecting fewer degrees of freedom in muscle control. These findings were supported by classification models, which demonstrated that features from diadochokinetic tasks were more effective in distinguishing mvASD from neurotypical individuals.…”
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Weakly supervised learning on road area extraction via classification labels by Liu, Xuanyi

“…Since annotating roads at pixel level is labor intensive, several data-driven methods have been proposed for this task also, including both unsupervised methods and fully supervised methods. …”
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Expressive B-spline curves: a pilot study on a flexible shape representation by Seah, Hock Soon, Tandianus, Budianto, Sui, Yiliang, Wu, Zhongke

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Fast and accurate variant identification tool for sequencing-based studies by Gaston, Jeffry M., Alm, Eric J., Zhang, An-Ni

“…When tested on diverse bacterial sequencing data, QuickVariants demonstrates a ninefold higher median speed than bcftools, a widely used variant identifier, with higher accuracy in identifying both point mutations and indels. …”
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Simulation-based optimization and experimental comparison of intracranial T2-weighted DANTE-SPACE vessel wall imaging at 3T and 7T by De Buck, M, Hess, A, Jezzard, P

“…</p> <br> <p><strong>Results:</strong> At 7T, more vessel wall signal can be retained while still achieving sufficient CSF suppression by using fewer DANTE pulses than described in previous implementations. …”

“UPDATE: I’m pregnant!”: inferring global downloads and reasons for using menstrual tracking apps by Rampazzo, F, Raybould, A, Rampazzo, P, Barker, R, Leasure, D

“…</p> <br> <p><strong>Methods:</strong> We use data on app installations, reviews and ratings from the Google Play Store and Apple App Store to estimate global app downloads using a Bayesian model. …”

Dissolving the segmentation of a shared mobility market: A framework and four market structure designs by Guo, Xiaotong, Qu, Ao, Zhang, Hongmou, Noursalehi, Peyman, Zhao, Jinhua

“…Then, to assess the real-world performance of these market structure designs, we used a ride-sharing simulator with real-world ride-hailing trip data from New York City to simulate. The proposed market designs can reduce the total vehicle-miles traveled (VMT) by 6\% while serving more customers with 8.4\% fewer total number of trips. …”
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Hadamard transform-based calibration method for programmable optical filters based on digital micro-mirror device by Kang, Jian, Li, Xiang, Liu, Quan

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Exploring TNFi drug-levels and anti-drug antibodies during tapering among patients with inflammatory arthritis: secondary analyses from the randomised BIODOPT trial by Uhrenholt, L, Sørensen, MER, Lauridsen, KB, Duch, K, Dreyer, L, Christensen, R, Hauge, E-M, Loft, AG, Rasch, MNB, Horn, HC, Taylor, PC, Nielsen, KR, Kristensen, S

“…Between baseline and month 18, a significant shift in TNFi drug-levels were observed in the tapering group resulting in fewer patients with high drug-levels (change: − 14% [95% CI − 27 to − 1%]) and more with low drug-levels (change: 18% [95% CI 5–31%]). …”

Light Stage Super-Resolution: Continuous High-Frequency Relighting by Sun, Tiancheng, Xu, Zexiang, Zhang, Xiuming, Fanello, Sean, Rhemann, Christoph, Debevec, Paul, Tsai, Yun-Ta, Barron, Jonathan, Ramamoorthi, Ravi

“…This neural network must circumvent the inherent aliasing and regularity of the light stage data that was used for training, which we accomplish through the use of regularized traditional interpolation methods within our network. …”
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A model-based analysis of evacuation strategies in hospital emergency departments by Su, Boyi, Kwak, Jaeyoung, Ahmad Reza Pourghaderi, Lees, Michael H., Tan, Kenneth B. K., Loo, Shin Yi, Chua, Ivan S. Y., Quah, Joy L. J., Cai, Wentong, Ong, Marcus E. H.

“…However, the preparedness can be challenging due to a lack of empirical data and difficulties conducting physical drills. …”
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Effectiveness and user experience of nose and throat swabbing techniques for SARS-CoV-2 detection: results from the UK COVID-19 National Testing Programme by Futschik, ME, Kulasegaran-Shylini, R, Blandford, E, Harper, S, Chapman, D, Turek, E, Agrawal, S, Phillips, V, Fordham, H, Chan, L, Kidd, M, Dodgson, A, Klapper, PE, Sudhanva, M, Vipond, R, Hopkins, S, Peto, T, Tunkel, S, Fowler, T

“…Results: Observational data from cross-service research indicated a user preference for nose swabbing over throat swabbing. …”

Self-supervised machine learning to characterise step counts from wrist-worn accelerometers in the UK Biobank by Small, SR, Chan, S, Walmsley, R, von Fritsch, L, Acquah, A, Mertes, G, Feakins, BG, Creagh, A, Strange, A, Matthews, CE, Clifton, DA, Price, AJ, Khalid, S, Bennett, D, Doherty, A

“…</p> <br> <p><strong>Results:</strong> The algorithm substantially outperformed reference models (free-living mean absolute percent error of 12.5%, versus 65-231%). Our data indicate an inverse dose-response association, where taking 6,430-8,277 daily steps was associated with 37% [25-48%] and 28% [20-35%] lower risk of fatal CVD and all-cause mortality up to seven years later, compared to those taking fewer steps each day.…”

COVID-19 and bilingual children's home language environment: digital media, socioeconomic status, and language status by Sun, He, Tan, Justina, Chen, Wenli

“…Two online parental questionnaires were employed for data collection. One-way repeated-measures MANOVA and path models were used to address the questions. …”
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Tracking and detecting objects in image sequence by Wang, Li

“…In this work, a feature learning algorithm is proposed for visual object tracking to learn hierarchical features by using tree structure based Recursive Neural Networks (RNN), which have fewer parameters and do not require any network pre-training on auxiliary data. …”
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Growth of myxococcus xanthus in continuous-flow-cell bioreactors as a method for studying development by Smaldone, Gregory T., Jin, Yujie, Whitfield, Damion L., Mu, Andrew Y., Wong, Edward C., Wuertz, Stefan, Singer, Mitchell

“…By establishing an M. xanthus community within a flow cell, we are able to test developmental responses to changes in the environment with fewer concerns for effects due to nutrient depletion or bacterial waste production. …”
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Adder and multiplier design for computing-in-memory architecture based on ReRAM by Zheng, Buyun

“…It can reduce the time and power consumption of the process of reading data from main memory to the CPU and then storing it in main memory after completing the calculation. …”
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Are vessel arrival and port operations affected by COVID-19? Evidence from the Hong Kong port by Chu, Zhong, Yan, Ran, Wang, Shuaian

“…Our analysis reveals that the COVID-19 and associated restrictions have led to fewer vessel calls across various vessel types, a decrease in overall port throughput, and consequently, reductions in total vessel NT and average GT. …”
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Human factors in agile software development by Lin, Jun

“…Moreover, according to our empirical studies, this intuitive and subjective decision making process without data analytics affects the progress, quality and productivity of ASD. …”
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