Modal-nexus auto-encoder for multi-modality cellular data integration and imputation by Zhenchao Tang, Guanxing Chen, Shouzhi Chen, Jianhua Yao, Linlin You, Calvin Yu-Chian Chen

“…Abstract Heterogeneous feature spaces and technical noise hinder the cellular data integration and imputation. The high cost of obtaining matched data across modalities further restricts analysis. …”
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APPLICATION OF PENALIZED SPLINE-SPATIAL AUTOREGRESSIVE MODEL TO HIV CASE DATA IN INDONESIA by Nindi Pigitha, Anik Djuraidah, Aji Hamim Wigena

“…PS-SAR is a combination of the P-Spline and the SAR spatial model so that it can analyze spatial data with a semiparametric approach. Based on data from monitoring the development of the HIV situation in 2018, the number of HIV cases in Indonesia shows a clustered pattern that indicate spatial dependence. …”
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The Importance of DNA Data Banks in the Identification of Unidentified Bodies: A Case Report by Amin Bakhtiyari, Masoud Ghadipasha, Hanie Bakhtiyari

“…Conclusion: Nevertheless, with the creation and development of DNA data banks for all people, there is no need for the presence of the first-degree family in such incidents, and by comparing the unknown samples in the DNA data banks, it is possible to identify the unknown bodies more accurately, quickly and at a lower cost. …”
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Comparison of clinical and parasitological data from controlled human malaria infection trials. by Meta Roestenberg, Geraldine A O'Hara, Christopher J A Duncan, Judith E Epstein, Nick J Edwards, Anja Scholzen, André J A M van der Ven, Cornelus C Hermsen, Adrian V S Hill, Robert W Sauerwein

“…But prepatent periods show significant variation. Detailed analysis of Q-PCR data reveals highly synchronous blood stage parasite growth and multiplication rates.…”
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Seven unique frequency profiles for scoring vigilance states in preclinical electrophysiological data by Freja Gam Østergaard, Martien J. H. Kas

“…Manual scoring of longitudinal electroencephalographical (EEG) data is a slow and time-consuming process. Current advances in the application of machine-learning and artificial intelligence to EEG data are moving fast; however, there is still a need for expert raters to validate scoring of EEG data. …”
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Data-Model Fusion-Driven Method for Fault Quantitative Diagnosis of Heat Exchanger by Xiaogang Qin, Shiwei Yan, Haibo Xu, Yi Gao, Yanbing Yu, Jinjiang Wang

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Integrating InSAR Data and LE-Transformer for Foundation Pit Deformation Prediction by Bo Hu, Wen Li, Weifeng Lu, Feilong Zhao, Yuebin Li, Rijun Li

“…This study proposes a novel approach integrating time-series InSAR data with a multivariate LE-Transformer model for deformation prediction. …”
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Data-driven microstructural optimization of Ag-Bi-I perovskite-inspired materials by Kshithij Mysore Nandishwara, Shuan Cheng, Pengjun Liu, Huimin Zhu, Xiaoyu Guo, Fabien C.-P. Massabuau, Robert L. Z. Hoye, Shijing Sun

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Mobile Game Evaluation Method Based on Data Mining of Affective Time Series by Jeremi K. Ochab, Paweł Węgrzyn, Przemek Witaszczyk, Dominika Drążyk, Grzegorz J. Nalepa

“…Our work is positioned at the intersection of game data science, affective gaming, and the implementation of multimodal body sensors analysis. …”
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Rendezvous Data Collection Using a Mobile Element in Heterogeneous Sensor Networks by Junzhao Du, Hui Liu, Longfei Shangguan, Luo Mai, Kai Wang, Shucong Li

“…We study the rendezvous data collection problem for the Mobile Element (ME) in heterogeneous sensor networks where data generation rates of sensors are distinct. …”
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Bone quality in patients with chronic osteomyelitis of the foot according to computed tomography data by G. V. Diachkova, Yu. L. Mitina, N. M. Klyushin, S. M. Aleksandrov, T. A. Larionova, A. G. Mikhailov

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Roadmapping in the Era of Uncertainty: How to Integrate Data-Driven Methods with Expert Insights by Sungjoo Lee, Kook Jin Jang, Myung Han Lee, Seong Ryong Shin

“…An ethnographic approach was used to collect data on when, where, and how data analysis must be conducted to support experts’ discussions. …”
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Open data in publications – non-copyrightability and attribution as drivers for equity, science and innovation by Jutta Buschbom, Laurence Bénichou, Donat Agosti, Willi Egloff, Elisa Herrmann, Mariko Kageyama, Andreas Kroh, Patricia Mergen

“… The mobilization of the wealth of existing biodiversity data is fundamental for the development of large, dynamic and multifaceted datasets and their historical baselines. …”
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Industrial IoT-Based Energy Monitoring System: Using Data Processing at Edge by Akseer Ali Mirani, Anshul Awasthi, Niall O’Mahony, Joseph Walsh

“…The resulting innovations offer intelligent management of the industrial ecosystems, focusing on increasing productivity and reducing running costs by processing massive data locally. In this research, we design, develop, and implement an IIoT and edge-based system to monitor the energy consumption of a factory floor’s stationary and mobile assets using wireless and wired energy meters. …”
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Green Innovation Efficiency Measurement Based on Sensor Data: Evidence from China by Jingkun Zhang, Wang Zhang

“…This paper uses an exploratory spatial data analysis method to prove the agglomeration phenomenon of China’s provincial green innovation efficiency in the ground space. …”
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From data to decisions: Leveraging ML for improved river discharge forecasting in Bangladesh by Md. Abu Saleh, H.M. Rasel, Briti Ray

“…Historical river discharge data spanning from 1990 to 2020, obtained from eight surface water stations, forms the basis of the analysis. …”
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SYNCode: Synergistic Human–LLM Collaboration for Enhanced Data Annotation in Stack Overflow by Meng Xia, Shradha Maharjan, Tammy Le, Will Taylor, Myoungkyu Song

“…The proposed approach involves an integrated pipeline that initially employs TF-IDF analysis for quick identification of relevant textual elements. …”
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Multi channel fusion diffusion models for brain tumor MRI data augmentation by Cuihua Zuo, Junhao Xue, Cao Yuan

“…However, high-quality medical image data for brain tumors is often scarce and difficult to obtain, which hinders the development and application of medical image analysis models. …”
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Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics by Chao Yang, Yuliang Zhang, Xianyuan Zhan, Satish V. Ukkusuri, Yifan Chen

“…The commonly used household travel survey data in activity analysis suffers from limited sample size and temporal coverage. …”
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High‐Resolution Downscaling of Disposable Income in Europe Using Open‐Source Data by Mehdi Mikou, Améline Vallet, Céline Guivarch, David Makowski

“…However, to rigorously test this hypothesis, fine‐scale spatial income data is needed, compatible with the analysis of extreme climatic events. …”
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