Prevalence of foodborne parasitic infections in market-sold aquatic products and high-risk populations in Shanghai, China: surveillance between 2022 and 2024 by Simin Dai, Jun Feng, Min Chen, Huanyu Wu, Yujuan Shen, Qing Yu, Jian Chen

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The emerging role of circulating tumor DNA in brain tumor research by Amir Modarresi Chahardehi, Niki Faraji, Nikoo Emtiazi, Reza Nasiri, Maryam Daghagheleh, Helia Mohammadaein, Fatemeh Masoudi, Kimia Ghazi Vakili, Aylin Sefidmouy Azar, Hossein Fatemian, Hossein Motedayyen, Reza Arefnezhad, Fatemeh Rezaei-Tazangi, Zahra Niknam, Marziye Ranjbar Tavakoli

“…Hence, advancements in next-generation sequencing (NGS) and digital PCR have enhanced the sensitivity of ctDNA detection, rendering it a feasible method for monitoring tumor dynamics and evaluating therapy responses. …”
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Analysis of lightning localization errors based on different station layouts by Yingting ZENG, Jiaying GU, Ruoyun ZHANG, Qinbo YANG, Jinquan ZENG

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Year-round infectome profiling of acute febrile respiratory illness unveiled complex epidemiological dynamics postlifting of COVID-19 restrictions by Shisong Fang, Lin Zhu, Shaohui Bai, Weijian Tian, Yuanfei Pan, Shumiao Zhang, Rongjun Bi, Minqi Liang, Gengyan Luo, Xiaojing Chen, Minwu Peng, Hanlin Liu, Lu Xie, Runzi Zhang, Wudi Zhou, Shengze Zhang, Ting Xie, Haolu Zha, Chuming Luo, Xin Wang, Ying Sun, Hui Liu, Min Jiang, Weihua Wu, Xuan Zou, Yaoqing Chen, Jianhui Yuan, Ying Jiang, Nan Wu, Mang Shi, Yuelong Shu, Huanle Luo

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Designing an Interactive Visual Analytics System for Precipitation Data Analysis by Dong Hyun Jeong, Pradeep Behera, Bong Keun Jeong, Carlos David Luna Sangama, Bryan Higgs, Soo-Yeon Ji

“…To enhance understanding of precipitation data and analysis results, researchers often use graphical representation methods to show the data in visual formats. Although existing precipitation analysis and basic visual representations are helpful, it is critical to have a comprehensive analysis and visualization system to detect significant patterns and anomalies in high-resolution temporal precipitation data more effectively. …”
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Estimation of Flood Inundation Area Using Soil Moisture Active Passive Fractional Water Data with an LSTM Model by Rekzi D. Febrian, Wanyub Kim, Yangwon Lee, Jinsoo Kim, Minha Choi

“…Flood estimation using satellite observations with deep learning algorithms is effective in detecting flood patterns and environmental relationships that may be overlooked by conventional methods. …”
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Assessing Seasonal Variations of Vegetation Cover Using NDVI in Context Climate Change in Wasit by Mohanad I. Khalbas, Jasim H. Kadhum

“…Seasonal variations were evident, with summer NDVI values generally exceeding those in winter; the highest winter NDVI was in 2021 (2.40%). Three statistical methods were applied: correlation analysis, linear regression, and ANOVA. …”
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Assessing Seasonal Variations of Vegetation Cover Using NDVI in Context Climate Change in Wasit by Mohanad I. Khalbas, Jasim H. Kadhum

“…Seasonal variations were evident, with summer NDVI values generally exceeding those in winter; the highest winter NDVI was in 2021 (2.40%). Three statistical methods were applied: correlation analysis, linear regression, and ANOVA. …”
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How to trace the origins of short-lived atmospheric species: an Arctic example by A. Da Silva, L. Marelle, J.-C. Raut, Y. Gramlich, K. Siegel, K. Siegel, S. L. Haslett, S. L. Haslett, C. Mohr, C. Mohr, J. L. Thomas

“…However, the accuracy of these methods is not well quantified. This study provides an evaluation of these analysis protocols by combining backward trajectories from the FLEXible PARTicle dispersion model (FLEXPART) with simulations of tracers from the Weather Research and Forecast model including Chemistry (WRF-Chem). …”
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An LJDRNN-based efficient energy intensity prediction in carbon fiber composite material manufacturing process by Rangaswamy Nikhil, Karthikeyan A G, Prabhu Loganathan, Tabrej Khan, Tamer A Sebaey

“…By enabling more precise energy intensity forecasting, the proposed method supports producers in optimizing their manufacturing processes, reducing energy costs, and aligning with sustainable production goals, ultimately driving greater operational efficiency and competitiveness in the CF industry.…”
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Creation and verification of a predictive nomogram model for the incidence of social isolation among China’s older population by Mei You, Yuan Ding, Zixuan Wei, Nannan Han, Annuo Liu

“…ObjectivesTo explore the risk factors associated with social isolation among the older adult in China, develop a nomogram model to forecast the risk, and evaluate its predictive accuracy.MethodsAn investigation was conducted into the demographic, socioeconomic, health, and health behavior aspects of the older adult population. …”
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Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model by Md. Siddikur Rahman, Miftahuzzannat Amrin, Md. Abu Bokkor Shiddik

“…To address this, we propose an interpretable tree‐based machine learning (ML) model for dengue early warning systems and outbreak prediction in Bangladesh based on climatic, sociodemographic, and landscape factors. Methods A framework for forecasting DF risk was developed by using high‐performance ML algorithms, namely Random Forests, eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM), based on sociodemographic, climate, landscape, and dengue surveillance epidemiological data (January 2000 to December 2021). …”
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BRCA1 promoter methylation predicts PARPi response in ovarian cancer: insights from the KOMET study by Léna Nougarede, Florence Hazane-Puch, Florence de Fraipont, Emmanuelle Jacquet, Marie Bidart

“…Our study aimed to determine the clinical relevance of BRCA1 promoter methylation for patients with ovarian carcinoma. Method The KOMET (Ovarian Cancer Methylation) study is a single-center retrospective study involving 88 ovarian cancer patients treated between January 2021 and July 2024. …”
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An Evaluation of the Safety, Immunogenicity, and Protective Efficacy of a Combined Diphtheria–Tetanus–Acellular Pertussis, <i>Haemophilus influenzae</i> Type b, and ACYW135 Meningo... by Xiuwen Sui, Zhujun Shao, Yuanyuan Ji, Hairui Wang, Qingfu Xu, Bochao Wei, Zhuojun Duan, Chang Wang, Ying Yang, Jiayu Zhao, Tao Zhu

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Early Fault Diagnosis and Prediction of Marine Large-Capacity Batteries Based on Real Data by Yifan Liu, Huabiao Jin, Xiangguo Yang, Telu Tang, Qijia Song, Yuelin Chen, Lin Liu, Shoude Jiang

“…Furthermore, the fault prediction method based on the iTransformer model is introduced to forecast variations in battery cluster voltages. …”
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CoViNAR: a context-aware social media dataset for pandemic severity level prediction and analysis by Soofi Shafiya, Mudasir Ahmad Wani, Suraiya Jabin, Mohammad ELAffendi, Jahiruddin

“…IntroductionThe unprecedented COVID-19 pandemic exposed critical weaknesses in global health management, particularly in resource allocation and demand forecasting. This study aims to enhance pandemic preparedness by leveraging real-time social media analysis to detect and monitor resource needs.MethodsUsing SnScrape, over 27.5 million tweets for the duration of November 2019 to March 2023 were collected using COVID-19-related hashtags. …”
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Simulation of snow accumulation and melting in the Kama river basin using data from global prognostic models by S. V. Pyankov, A. N. Shikhov, P. G. Mikhaylyukova

“…The calculation of snow accumulation and melting was based on empirical methods and performed with the GIS technologies. The degree-day factor was used to calculate snowmelt intensity, and snow sublimation was estimated by P.P. …”
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An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction by Peng Lu, Yuchen He, Wenhui Li, Yuze Chen, Ru Kong, Teng Wang

“…By employing Fourier-based methods and iterative recursive decomposition strategies, we effectively separated periodic and trend components. …”
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Contrail altitude estimation using GOES-16 ABI data and deep learning by V. R. Meijer, V. R. Meijer, S. D. Eastham, S. D. Eastham, S. D. Eastham, I. A. Waitz, S. R. H. Barrett, S. R. H. Barrett

“…A potential near-term and low-cost mitigation option is contrail avoidance, which involves rerouting aircraft around ice-supersaturated regions, preventing the formation of persistent contrails. Current forecasting methods for these regions of ice supersaturation have been found to be inaccurate when compared to in situ measurements. …”
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Fumarprotocetraric acid and geraniin were identified as novel inhibitors of human respiratory syncytial virus infection in vitro by Chao Wang, Chao Wang, Yi-Man Huang, Yi-Man Huang, Jun Zhao, Jun Zhao, Yi-Ming Bai, Yi-Ming Bai, Cai-Qin Yan, Cai-Qin Yan, Guan-Hua Du, Guan-Hua Du, Li-Shu Zheng, Li-Shu Zheng, Ai-Lin Liu, Ai-Lin Liu

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