Delineating urban flooding when incorporating community stormwater knowledge by Madeline Scolio, Peleg Kremer, Virginia Smith, Achira Amur, Bridget Wadzuk, Kate Homet, Eric Devlin, Md Abdullah Al Mehedi, Laura Moore

“…In this research, we compare and contrast different methodologies for capturing flood extent in order to highlight the challenges inherent in current methods for urban flooding delineation. …”
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GL-ST: A Data-Driven Prediction Model for Sea Surface Temperature in the Coastal Waters of China Based on Interactive Fusion of Global and Local Spatiotemporal Information by Ning Song, Jie Nie, Qi Wen, Yuchen Yuan, Xiong Liu, Jun Ma, Zhiqiang Wei

“…Data-driven methods for sea surface temperature prediction have made significant advancements in capturing these spatiotemporal multimodal variations. …”
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Particulate Pollution in Korhogo and Abidjan (Cote d’Ivoire) during the Dry Season by Sylvain Gnamien, Véronique Yoboué, Cathy Liousse, Money Ossohou, Sékou Keita, Julien Bahino, Silué Siélé, Lamine Diaby

“…From two measurement campaigns at about ten sites during the dry season and using the inverse distance-weighted interpolation method, maps of spatial variation in PM10 and PM2.5 concentrations are obtained at the scale of each of these cities, which provide a snapshot of the concentration levels to which populations are actually exposed. The results of this study showed that populations in low- and middle-income areas are exposed to higher concentrations than those in high-income areas. …”
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Efficacy and safety of an algorithm using C-reactive protein to guide antibiotic therapy applied through a digital clinical decision support system: a study protocol for a randomis... by Vandack Nobre, Pedro R Povoa, Vitoria Moura Leite Rabelo Rezende, Isabela Nascimento Borges, Cecilia Gomez Ravetti, Renan Pedra De Souza, Paula Frizera Vassalo, Ana Clara de Paula Caldas, Felipe Rodrigues Gatto, Getulio Hideyoshi Okamura, Raquel Lopes de Brito Lacerda

“…Data will be preserved using the Research Electronic Data Capture platform, and serum samples will be stored in a regulated biorepository at UFMG. …”
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The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, Lithuania by Birutė Ruzgienė, Lina Kuklienė, Indrius Kuklys, Dainora Jankauskienė, Dainora Jankauskienė, Sérgio Lousada, Sérgio Lousada, Sérgio Lousada, Sérgio Lousada, Sérgio Lousada

“…In order to preserve this unique cultural object, needs to keep an observation on a regular basis (as monitoring) for capture the real situation. Applying an appropriate way for generation of the reliable and accurate spatial models of surface with extreme topography, four data sets were processed: images gained with the camera, oriented horizontally; images gained with the camera tilted at about 50°; combining both image sets collected from camera; LiDAR data. …”
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Detection of I491F and V170F rpoB mutations associated with misdiagnosis of rifampicin resistance among patients with drug-susceptible tuberculosis treatment failure, Myanmar, 2022 by Phyu Win Ei, Mi Mi Htwe, Myat Htut Nyunt, Aye Su Mon, Zaw Myint, Wint Wint Nyunt, Su Mon Win, Sandar Aung, Wai Myat Thwe, Wah Wah Aung

“…This demonstrates a gap in current World Health Organization-endorsed algorithms for capturing all multidrug-resistant-TB strains.…”
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ReliefF guided variable spiral tuna swarm optimization algorithm with somersault foraging for feature selection by Yu-Cai Wang, Jie-Sheng Wang, Min Zhang, Hao-Ming Song, Jia-Ning Hou, Yu-Liang Qi, Yu-Wei Song

“…Firstly, inspired by the sudden flipping behavior of manta rays when capturing plankton, a novel somersault foraging strategy is introduced to help the TSO algorithm escape from local optima. …”
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A Fine-Grained Aircraft Target Recognition Algorithm for Remote Sensing Images Based on YOLOV8 by Xiao-Nan Jiang, Xiang-Qian Niu, Fan-Lu Wu, Yao Fu, He Bao, Yan-Chao Fan, Yu Zhang, Jun-Yan Pei

“…This module enhances the capture of semantic information while extracting shallow features, thereby preserving more fine-grained features and improving the network's feature extraction capability. …”
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CCD Standard Curve Fitting for Microarray Detection Base on Multi-Layer Perceptron by Zhenhua Gan, Dongyu He, Peishu Wu, Baoping Xiong, Nianyin Zeng, Fumin Zou, Feng Guo, Qin Bao, Fengyan Zhao

“…The Charge Coupled Device (CCD) scanner determines the concentration of the microarray by capturing the intensity of the fluorescent signal on the microarray in combination with the standard curve. …”
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Assessment of Seismic Vulnerability for a Hospital Building Using Field Data and Various Numerical Analyses Considering Bidirectional Ground Motion Effects by Alireza Kharazian, Arianna Guardiola-Villora, Juan José Galiana-Merino, Sergio Molina, Gonzalo Ortuño-Sáez, Juan Luís Soler-Llorens, José Antonio Huesca-Tortosa, Igor Gómez, David Montiel-López

“…Ambient noise measurements from field monitoring using Raspberry Shake-based sensors are used to capture dynamic characteristics that describe the building behaviour. …”
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A Bayesian analysis of birth pulse effects on the probability of detecting Ebola virus in fruit bats by Pleydell, David R.J., Ndong Bass, Innocent, Mba Djondzo, Flaubert Auguste, Meta Djomsi, Dowbiss, Kouanfack, Charles, Peeters, Martine, Cappelle, Julien

“…This raises questions such as (1) what can we actually learn from ebolavirus serology tests performed without positive controls? …”
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<inline-formula><tex-math notation="LaTeX">$\mathrm{D}^{3}$</tex-math></inline-formula>T: Deep Denoising Dictionary Tensor for Hyperspectral Anomaly Detection by Qiangqiang Shen, Zonglin Liu, Hanzhang Wang, Yanhui Xu, Yongyong Chen, Yongsheng Liang

“…Hyperspectral anomaly detection (HAD) approaches with tensor low-rank representation (TLRR) have shown engaging performance, which are capable of capturing abundant spectral and spatial information and, hence, extracting sparse anomalies from the low-rank background without ruining the intrinsic geometric structures of tensor data. …”
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Guadua angustifolia biochar/TiO2 composite and biochar as bio-based materials with environmental and agricultural application by Luis A. Cañon-Tafur, Juan F. Mateus-Maldonado, Hair Santiago Lozano-Puentes, Carlos D. Herrera-Acosta, Juan J. Sánchez-Matiz, Lucía A. Díaz-Ariza, Geison Modesti Costa, Luis C. Jiménez-Borrego, Ana K. Carrascal-Camacho, Aura M. Pedroza-Rodríguez

“…In addition, obtaining biochar and composite could positively impact the bamboo production chain in Colombia because of renewable and globally accepted alternatives that help capture gaseous emissions causing the greenhouse effect.…”
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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

“…Then, we applied wavelet transform (WT) to capture the time-frequency characteristics of the signals and extract energy features and created a feature set comprising 30 features and selected 10 most relevant ones using the “SelectKBest” function.We compared six algorithms, optimized their parameters, and evaluated the stability and fitting performance of each algorithm. …”
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SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

“…Furthermore, we conduct a motif analysis, revealing that SGCL-LncLoc successfully captures known motifs associated with lncRNA subcellular localization. …”
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Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets by Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

“…<italic>Methods:</italic> In this paper, we demonstrate how mechanistic virtual patient (VP) modeling can be used to capture specific features of patients&#x2019; states and dynamics, while reducing biases introduced by heterogeneous datasets. …”
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The multifaceted power of biochar: A review on its role in pollution control, sustainable agriculture, and circular economy by Amreen Bano, Mohd Kashif Aziz, Bablu Prasad, Rajesh Ravi, Maulin P. Shah, Pollyanna Vanessa Dos Santos Lins, Lucas Meili, Kumar Suranjit Prasad

“…These characteristics position biochar as an increasingly valuable material for improving soil health, enhancing agricultural productivity, and capturing atmospheric carbon dioxide, contributing to efforts to mitigate global warming. …”
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YOLOv8-LCNET: An Improved YOLOv8 Automatic Crater Detection Algorithm and Application in the Chang’e-6 Landing Area by Jing Nan, Yexin Wang, Kaichang Di, Bin Xie, Chenxu Zhao, Biao Wang, Shujuan Sun, Xiangjin Deng, Hong Zhang, Ruiqing Sheng

“…Then, a Gather-and-Distribute mechanism (GD) was integrated into the Neck, enabling the model to fully fuse multi-level feature information and capture global information, enhancing the model’s ability to detect impact craters of various sizes. …”
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Patient and Hospital Characteristics Associated with Admission Among Patients With Minor Isolated Extremity Firearm Injuries: A Propensity-Matched Analysis by Arielle C. Thomas, MD, MPH, MS, Regina Royan, MD, MPH, Avery B. Nathens, MD, PhD, Brendan T. Campbell, MD, MPH, Susheel Reddy, MPH, Sarabeth Spitzer, MD, Doulia Hamad, MD, Angie Jang, BA, Anne M. Stey, MD, MSc

“…This was an observational retrospective cohort study of minor isolated extremity firearm injury captured in the Healthcare Cost and Utilization Project State Inpatient and Emergency Department Databases in 6 states (New York, Arkansas, Wisconsin, Massachusetts, Florida, and Maryland) from 2016 to 2017 among patients aged 16 years or older. …”
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Classification of Cigarette Types Using Computer Vision: An Analysis of Smoke Aggregation Features by Shishuan Guan, Lei Jiao, Zengyu Wang, Xiaofei Ji, Hongwei Zheng, Cunfeng Yu, Hongtao Li, Liwen Zheng, Shuaishuai Sun, Qiang Sun, Jun Li, Guangwei Jiang, Kezhi Wu, Erge Lin, Xinlong Zhang

“…We first adopted SmokeSeqNet model for experiments, which combined residual CNN as a feature extractor and captured the dynamic sequence characteristics of smoke through the LSTM layer. …”
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