Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks by Christoph Humer, Simon Höll, Martin Schagerl

“…An experimental training data set is used, where the WDICs of a selected damage type are extracted from measurements using a scanning laser Doppler vibrometer. …”
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Downscaling air temperatures for high-resolution niche modeling in a valley of the Amazon lowland forests: A case study on the microclima R package. by M J Pohl, L Lehnert, B Thies, K Seeger, M B Berdugo, S R Gradstein, M Y Bader, J Bendix

“…To do so we compared microclima-downscaled ERA5-Land air temperature data with meteorological station data. We found that the microclima functions only properly detect 73 temperature inversions out of 412 nocturnal cold air drainage (CAD) events during the dry season study period and only 18 out of 400 during the wet season with default settings. …”
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Prediction of BRAF and TERT status in PTCs by machine learning-based ultrasound radiomics methods: A multicenter study by Hui Shi, Ke Ding, Xue Ting Yang, Ting Fan Wu, Jia Yi Zheng, Li Fan Wang, Bo Yang Zhou, Li Ping Sun, Yi Feng Zhang, Chong Ke Zhao, Hui Xiong Xu

“…Methods: This multicenter study retrospectively collected data of 1076 PTC patients underwent genetic testing detection for BRAF V600E and TERT promoter between March 2016 and December 2021. …”
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Biomarker identification for rheumatoid arthritis with inadequate response to DMARD and TNF therapies using multidimensional analyses by Leyuan Li, Hui Guo, Weijin Zhang, Xi Xiang, Jun Chi, Mengmeng Zhang, Jiali Chen, Zhimin Wang, Liping Dai

“…Methods: Gene expression data GSE45291 originating from clinics were downloaded from the Gene Expression Omnibus public database (GEO). …”
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Developing Transferable Fourier Transform Mid-Infrared Spectroscopy Predictive Models for Buffalo Milk: A Spatio-Temporal Application Strategy Analysis Across Dairy Farms by Han Jiang, Peipei Wen, Yikai Fan, Yi Zhang, Chunfang Li, Chu Chu, Haitong Wang, Yue Zheng, Chendong Yang, Guie Jiang, Jianming Li, Junqing Ni, Shujun Zhang

“…Thus, a large number of phenotype data can be provided for buffalo production management and genetic breeding. …”
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Multicomponent intervention for controlling hypertension in the adult rural population of Pakistan: a protocol for a hybrid type III implementation-effectiveness cluster randomised... by Catherine Hewitt, Aziz Sheikh, Simon Walker, Sajid Soofi, Kamran Siddiqi, Zulfiqar Ahmed Bhutta, Zainab Samad, Aysha Almas, Saima Afaq, Hajra Khwaja, Shiraz Hashmi, Imran Naeem, Salim S Virani, Saira Bukhari, Sawera Hanif

“…Introduction Though prior trials have shown the effectiveness of community-based hypertension detection and care delivery models, their adoption and translation to practice has been slow. …”
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Identification of serum biomarkers for cystic echinococcosis in sheep through untargeted metabolomic analysis using LC–MS/MS technology by Xiao-Xia Wu, Wan-Li Ban, Li-Jiang Wu, Wen-Jing Qi, Mehdi Borhani, Xiao-Ying He, Xiao-Lei Liu, Ming-Yuan Liu, Jing Ding

“…Results Data analyses of serum samples from both groups identified a total of 1905 significantly different metabolites, where 841 metabolites were upregulated and 1064 metabolites were downregulated. …”
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Fiber-optic technologies for real-time monitoring of coastal landslides: a review of their role in early warning systems by Ahmed Cemiloglu, Jin Chengyong, Fei Teng, Yaser A. Nanehkaran, Amir Raoof, Thomas Sweijen, Reza Derakhshani, Reza Derakhshani

“…Fiber-optics provide continuous, real-time data for early detection of ground movements, unlike traditional methods that struggle with spatial and temporal coverage. …”
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Economic Evaluation of a Novel Lung Cancer Diagnostic in a Population of Patients with a Positive Low-Dose Computed Tomography Result by Michael J. Morris, Sheila A. Habib, Maggie L. Do Valle, John E. Schneider

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Optimal PSA Threshold for Obtaining MRI-Fusion Biopsy in Biopsy-Naïve Patients by Luke L. Wang, Brandon L. Henslee, Peter B. Sam, Chad A. LaGrange, Shawna L. Boyle

“…It secondarily explores whether the targeted biopsy is necessary in setting of abnormal digital rectal examination. Methods. 260 patients with suspected localized prostate cancer with no prior biopsy underwent prostate magnetic resonance imaging and were found to have Prostate Imaging Reporting and Data System score ≥ 3 lesion(s). …”
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Machine learning-based prediction of respiratory depression during sedation for liposuction by Jin-Woo Kim, Jae Hee Woo, Jaewon Seo, Hajin Kim, Sunho Lee, Younchan Park, Jaehyun Ahn, Seonghun Hong, Hye-Min Jeong, Yuncheol Kang

“…Abstract Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to respiratory depression. A tool that enables early detection of respiratory compromise could not only enhance patient safety during procedural sedation, but also reduce the risk of medical liability. …”
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LumaCam: a novel class of position-sensitive event mode particle detectors using scintillator screens by Alexander Wolfertz, Alex Gustschin, Michael Schulz, Alexander M. Long, Anton Khaplanov, Tsviki Y. Hirsh, Andrei Nomerotski, Manuel Morgano, Anton Tremsin, Giacomo Mauri, G. Jeff Sykora, Adrian Losko

“…This includes a detailed description of the algorithm that reconstructs the neutron interactions from the sensor data, one of the core components that sets it apart from established scintillator-based imaging detectors. …”
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AI-Driven Belt Failure Prediction and Prescriptive Maintenance with Motor Current Signature Analysis by João Paulo Costa, José Torres Farinha, Mateus Mendes, Jorge O. Estima

“…By harnessing the power of data-driven predictive analytics, the research offers a promising pathway towards enhancing operational efficiency and minimizing unplanned downtime in industrial settings. …”
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Alzheimer’s disease risk prediction using machine learning for survival analysis with a comorbidity-based approach by Ferial Abuhantash, Roy Welsch, Stan Finkelstein, Aamna AlShehhi

“…Leveraging data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) databases, we construct feature sets encompassing demographics, cognitive scores, and comorbidities. …”
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Systemic and local associated disorders in children with congenital cataracts-a retrospective analysis by Rashid Baig, Asma Rahman, Hamzah Jehanzeb, Khadijah Abid

“… Objective: To assess the systemic and local disorders associated with congenital cataracts in children in a tertiary care setting. Method: The retrospective study was conducted at the Department of Ophthalmology and Visual Sciences, Aga Khan University Hospital, Karachi, and comprised data from January 2014 to December 2019 of patients aged <12 months who underwent lens aspiration. …”
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EMVAS: end-to-end multimodal emotion visualization analysis system by Xianxun Zhu, Heyang Feng, Erik Cambria, Yao Huang, Ming Ju, Haochen Yuan, Rui Wang

“…The preprocessing architecture utilizes silence-based audio segmentation alongside end-to-end DeepSpeech2 audio-to-text conversion to generate a synchronized and semantically consistent data stream. For feature extraction, facial landmark detection and action unit analysis capture fine-grained visual cues; Mel-frequency cepstral coefficients, log-scaled fundamental frequency, and Constant-Q transform extract detailed audio features; and a Transformer-based encoder processes textual data for contextual emotion analysis. …”
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Advancing brain tumor diagnosis: Deep siamese convolutional neural network as a superior model for MRI classification by Gowtham Murugesan, Pavithra Nagendran, Jeyakumar Natarajan

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Investigation of the Amino Acid Profile of the Species of Carassius gibelio (Bloch, 1782) Living in Euphrates and Tigris River by Arif Parmaksız, Necati Eneş, Kadir Eği, İsmail Koyuncu

“…Conclusion: As a result of this study, an important data set for protein diet was obtained by revealing the amino acid profile of the C. gibelio species living in the Euphrates and Tigris River systems.…”
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L0-regularized high-dimensional sparse multiplicative models by Hao Ming, Hu Yang, Xiaochao Xia

“…In this paper, we study high-dimensional sparse multiplicative models for positive response data and propose a variable sorted active set (VSAS) algorithm for finding the [Formula: see text] regularized least product relative error (LPRE) estimator. …”
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Ulcerative colitis increases the risk of atrioventricular block: evidence from a Mendelian randomized analysis by Wanqiong Shu, Guanghong Huang

“…To ensure the rigor of the analysis results, we selected another set of exposure data sets and conducted the MR verification analysis using the same method. …”
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