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Recent College of Engineering Publications

The Engineering Library is pleased to highlight College of Engineering faculty and staff publications. Each month, we will search Scopus and compile a list of publications. Did we miss something?  Let us know at eltc@missouri.edu and we will add your publication to the list.

Below are College of Engineering publications added to the Scopus database in the last 30 days.

Congratulations to all the recently published authors!

Note: Access to the full text may be subject to library subscriptions.

Al Qader, H., Jasim, A. M., Salim, H., Xing, Y., & Stalla, D. (2022). Enhanced mechanical and durability properties of cement mortar by using alumina nanocoating on carbon nanofibers. Materials, 15(8) doi:10.3390/ma15082768

Bajkowski, T. M., Hurt, J. A., Dale, J., Huangal, D., Keller, J. M., Scott, G. J., & Price, S. R. (2021). Evaluating visuospatial features for tracking hazards in overhead UAS imagery. Paper presented at the Proceedings – Applied Imagery Pattern Recognition Workshop, 2021-October doi:10.1109/AIPR52630.2021.9762206

Cao, Y., Zhu, Z., Li, X., Xi, J., Singh, D. J., Xi, L., Zhang, W. (2022). Unraveling the relationships between chemical bonding and thermoelectric properties: N-type ABO3 perovskites. Journal of Materials Chemistry A, doi:10.1039/d2ta01624a

Chang, H., Zhang, H., Zhang, T., Su, L., Qin, Q. -., Li, G., Xu, D. (2022). A multi-level iterative bi-clustering method for discovering miRNA co-regulation network of abiotic stress tolerance in soybeans. Frontiers in Plant Science, 13 doi:10.3389/fpls.2022.860791

Chen, X., & Cheng, J. (2022). DISTEMA: Distance map-based estimation of single protein model accuracy with attentive 2D convolutional neural network. BMC Bioinformatics, 23 doi:10.1186/s12859-022-04683-1

Cheng, K., Bajkowski, T. M., & Scott, G. J. (2021). Evaluation of sentinel-2 data for automatic maasai boma mapping. Paper presented at the Proceedings – Applied Imagery Pattern Recognition Workshop, 2021-October doi:10.1109/AIPR52630.2021.9762131

Cheng, K., Popescu, I. M., Sheets, L., & Scott, G. (2022). Analysis of deep learning techniques for maasai boma mapping in tanzania. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi:10.1109/JSTARS.2022.3167373

Cihan, I. H., & Kluever, C. A. (2022). Correction to: Analytical guidance for mars aerocapture via drag modulation (the journal of the astronautical sciences, (2022), 10.1007/s40295-022-00316-0). Journal of the Astronautical Sciences, doi:10.1007/s40295-022-00326-y

Deng, H., & Lin, J. (2022). 4D printing: 3D printing of responsive and programmable materials. 3D bioprinting and nanotechnology in tissue engineering and regenerative medicine (pp. 213-237) doi:10.1016/B978-0-12-824552-1.00012-8

Hou, L., & Hu, Z. (2022). Performance of AnMBRs treating low strength wastewater with different carbon sources at decreasing HRTs and its linkage to methanosaeta with high specific affinity. Environmental Science: Water Research and Technology, 8(4), 849-861. doi:10.1039/d1ew00930c

Jacobsen, N. L., Cornelison, D. D. W., & Segal, S. S. (2022). Skeletal muscle injury is sufficient for angiogenesis but myofiber regeneration is required for restoring microvascular integrity. FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology, 36 doi:10.1096/fasebj.2022.36.S1.R5614

Jiang, T., Zhang, B., Lin, D., Gao, Y., & Li, Q. (2022). Efficient parallel processing of high-dimensional spatial kNN queries. Soft Computing, doi:10.1007/s00500-022-07081-0

Lee, W., & Seo, K. (2022). Downsampling for binary classification with a highly imbalanced dataset using active learning. Big Data Research, 28 doi:10.1016/j.bdr.2022.100314

Lei, B. -., Guo, Y., Xie, Y., Dai, P., Yi, M., & Singh, D. J. (2022). Complex structure due to as bonding and interplay with electronic structure in superconducting BaNi2As2. Physical Review B, 105(14) doi:10.1103/PhysRevB.105.144505

Li, Y., Boadu, F., Highsmith, M. R., Hagen, D. E., Cheng, J., & Rivera, R. M. (2022). Allele-specific aberration of imprinted domain chromosome architecture associates with large offspring syndrome. IScience, 25(5) doi:10.1016/j.isci.2022.104269

Lu, Q., Le, C., Zhang, X., Cook, J., He, X., Zarenia, M.,  Bian, G. (2022). Dirac fermion cloning, moiré flat bands, and magic lattice constants in epitaxial monolayer graphene. Advanced Materials, doi:10.1002/adma.202200625

Mohadikar, P., Duan, Y., & Carr, S. (2021). Brain intracranial hemorrhage segmentation using unsupervised learning on volume CT images. Paper presented at the Proceedings – Applied Imagery Pattern Recognition Workshop, 2021-October, doi:10.1109/AIPR52630.2021.9762171

Morton, A. B., Jacobsen, N. L., Cornelison, D. D. W., & Segal, S. S. (2022). Which comes first: Angiogenesis or myogenesis following punch biopsy injury? FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology, 36 doi:10.1096/fasebj.2022.36.S1.R2593

Oruche, R., Milman, E. D., Cheng, X., Joish, M., Kulkarni, C., Sharma, A.,  Calyam, P. (2021). Measurement of utility in user access of COVID-19 literature via AI-powered chatbot. Paper presented at the Proceedings – Applied Imagery Pattern Recognition Workshop, 2021-October doi:10.1109/AIPR52630.2021.9762160

Palausky, J., Harwood, J. J., Clevenger, T. E., Kapila, S., & Yanders, A. F. (2018). Disposition of tetrachlorodibenzo-p-dioxin in soil. Chlorinated dioxins and dibenzofurans in perspective (pp. 211-223).

Pandey, A., Surya, R., Maschmann, M., Calyam, P., & Surya, R. (2021). Reinforcement learning based carbon nanotube growth automation. Paper presented at the Proceedings – Applied Imagery Pattern Recognition Workshop, 2021-October doi:10.1109/AIPR52630.2021.9762145

Paouris, G., Tikhomirov, K., & Valettas, P. (2022). Hypercontractivity and lower deviation estimates in normed spaces. Annals of Probability, 50(2), 688-734. doi:10.1214/21-AOP1543

Qing, Z., & Edara, P. (2022). Human vision vs. computer vision: A readability study in a virtual reality environment. Paper presented at the Proceedings – 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022, 61-64. doi:10.1109/VRW55335.2022.00023

Rahmon, G., Toubal, I. E., & Palaniappan, K. (2021). Extending U-net network for improved nuclei instance segmentation accuracy in histopathology images. Paper presented at the Proceedings – Applied Imagery Pattern Recognition Workshop, 2021-October doi:10.1109/AIPR52630.2021.9762213

Shen, Z., Ramirez-Lopez, L., Behrens, T., Cui, L., Zhang, M., Walden, L., Viscarra Rossel, R. A. (2022). Deep transfer learning of global spectra for local soil carbon monitoring. ISPRS Journal of Photogrammetry and Remote Sensing, 188, 190-200. doi:10.1016/j.isprsjprs.2022.04.009

Shoriat Ullah, M. D., & Seo, K. (2022). Prediction of lithium-ion battery capacity by functional principal component analysis of monitoring data. Applied Sciences (Switzerland), 12(9) doi:10.3390/app12094296

Shubaili, M., Elawadi, A., Orton, S., & Tian, Y. (2022). Time-dependent behavior of reinforced concrete beams under high sustained loads. Applied Sciences (Switzerland), 12(8) doi:10.3390/app12084015

Shutt, K., Wan Nawawi, W. F., Schulte, G., Martinez-Sainz, J., Ufuktepe, E., & Palaniappan, K. (2021). Auto-SDist: An automatic COVID-19 social distancing and room management system architecture for indoors. Paper presented at the Proceedings – Applied Imagery Pattern Recognition Workshop, 2021-October doi:10.1109/AIPR52630.2021.9762165

Sinha, R., Zandalinas, S. I., Fichman, Y., Sen, S., Zeng, S., Gómez-Cadenas, A., Mittler, R. (2022). Differential regulation of flower transpiration during abiotic stress in annual plants. New Phytologist, doi:10.1111/nph.18162

Škrabišová, M., Dietz, N., Zeng, S., Chan, Y. O., Wang, J., Liu, Y., Bilyeu, K. D. (2022). A novel synthetic phenotype association study approach reveals the landscape of association for genomic variants and phenotypes. Journal of Advanced Research, doi:10.1016/j.jare.2022.04.004

Song, J. H., Montes-Luz, B., Tadra-Sfeir, M. Z., Cui, Y., Su, L., Xu, D., & Stacey, G. (2022). High-resolution translatome analysis reveals cortical cell programs during early soybean nodulation. Frontiers in Plant Science, 13 doi:10.3389/fpls.2022.820348

Tanvir, R. U., Ahmed, M., Lim, T. T., Li, Y., & Hu, Z. (2022). Arrested methanogenesis: Principles, practices, and perspectives doi:10.1016/bs.aibe.2022.04.001

Ufuktepe, D. K., Yang, F., Kassim, Y. M., Yu, H., Maude, R. J., Palaniappan, K., & Jaeger, S. (2021). Deep learning-based cell detection and extraction in thin blood smears for malaria diagnosis. Paper presented at the Proceedings – Applied Imagery Pattern Recognition Workshop, 2021-October doi:10.1109/AIPR52630.2021.9762109

Vong, C. N., Conway, L. S., Feng, A., Zhou, J., Kitchen, N. R., & Sudduth, K. A. (2022). Corn emergence uniformity estimation and mapping using UAV imagery and deep learning. Computers and Electronics in Agriculture, 198 doi:10.1016/j.compag.2022.107008

Walker, S., Peeples, J., Dale, J., Keller, J., & Zare, A. (2021). Explainable systematic analysis for synthetic aperture sonar imagery. Paper presented at the International Geoscience and Remote Sensing Symposium (IGARSS), 2835-2838. doi:10.1109/IGARSS47720.2021.9554901

Wang, J., El-Jayyousi, Y., & Ozden, I. (2021). Seizure detection in EEG using dynamic system analysis. Paper presented at the Proceedings – Applied Imagery Pattern Recognition Workshop, 2021-October doi:10.1109/AIPR52630.2021.9762164

Wang, J., Ma, A., Chang, Y., Gong, J., Jiang, Y., Qi, R., Xu, D. (2022). Author correction: ScGNN is a novel graph neural network framework for single-cell RNA-seq analyses (nature communications, (2021), 12, 1, (1882), 10.1038/s41467-021-22197-x). Nature Communications, 13(1) doi:10.1038/s41467-022-30331-6

Wang, J., Sidharth, S., Zeng, S., Jiang, Y., Chan, Y. O., Lyu, Z., Joshi, T. (2022). Bioinformatics for plant and agricultural discoveries in the age of multiomics: A review and case study of maize nodal root growth under water deficit. Physiologia Plantarum, 174(2) doi:10.1111/ppl.13672

Wang, Y., Li, Z., Golub, M. V., Huang, G., Chen, W., & Zhang, C. (2022). Interfacial delamination-induced unidirectional propagation of guided waves in multilayered media. Mathematics and Mechanics of Solids, doi:10.1177/10812865221092680

Wang, Y. Y., Glinskii, O. V., Bunyak, F., & Palaniappan, K. (2021). Ensemble of deep learning cascades for segmentation of blood vessels in confocal microscopy images. Paper presented at the Proceedings – Applied Imagery Pattern Recognition Workshop, 2021-October doi:10.1109/AIPR52630.2021.9762193

Wasala, N. B., Million, E. D., Watkins, T. B., Wasala, L. P., Han, J., Yue, Y., Duan, D. (2022). The gRNA vector level determines the outcome of systemic AAV CRISPR therapy for duchenne muscular dystrophy. Human Gene Therapy, 33(9-10), 518-528. doi:10.1089/hum.2021.130

Wu, G., Zhang, N., Matarasso, A., Heck, I., Li, H., Lu, W., Zhang, Y. (2022). Implantable aptamer-graphene microtransistors for real-time monitoring of neurochemical release in vivo. Nano Letters, doi:10.1021/acs.nanolett.2c00289

Yi, K., Chen, Y., Zhu, R., & Huang, G. (2022). Electromechanical active metamaterials and their applications in controlling elastic wave propagation. [力电耦合主动超材料及其弹性波调控] Kexue Tongbao/Chinese Science Bulletin, 67(12), 1290-1304. doi:10.1360/TB-2021-0573

Zhang, X., Liu, W., Niu, W., Lu, Q., Wang, W., Sarikhani, A., Xu, Y. (2022). Self-intercalation tunable interlayer exchange coupling in a synthetic van der waals antiferromagnet. Advanced Functional Materials, doi:10.1002/adfm.202202977

Zhao, C., Duan, Y., & Yang, D. (2021). A deep learning approach for contour interpolation. Paper presented at the Proceedings – Applied Imagery Pattern Recognition Workshop, 2021-October doi:10.1109/AIPR52630.2021.9762167

Zhao, Y., Xing, X., Xu, C., He, Y., Yang, C., Zheng, J., & Hu, Z. (2022). ZnO nanorod induced omniphobic polypropylene membrane for improved antiwetting performance in membrane distillation. Industrial and Engineering Chemistry Research, 61(17), 5963-5970. doi:10.1021/acs.iecr.2c00318

 

 

Mara Inge

Mara Inge is a Sr. Library Information Specialist in the Engineering Library. She specializes in outreach activities and works with the Department of Energy microfiche collection.