Quantifying the sources and health risks of groundwater nitrate via dual NO isotopes and Monte Carlo simulations in a developed planting-breeding area by Jianwei Liu, Shuo Qiao, Shilong Zhao, Hui Chen, Yong Wu, Donghao Li, Ping Liu, Ling Li

“…The analysis results revealed that the NO3− concentration ranged from 0.02 to 44.6 mg/L, with a mean value of 7.54 mg/L, along with a significant spatial variability. Analysis by combining stable isotopes (δ15N-NO3− and δ18O-NO3−) with the Bayesian isotope mixing model (MixSIAR) revealed that soil N (60.3 %) and manure and sewage (35.9 %) contributed the most NO3− in groundwater, followed by chemical N fertilizer (2.9 %) and atmospheric N deposition (0.8 %). …”
Get full text

Enhanced thyroid nodule detection and diagnosis: a mobile-optimized DeepLabV3+ approach for clinical deployments by Changan Yang, Muhammad Awais Ashraf, Mudassar Riaz, Pascal Umwanzavugaye, Kavimbi Chipusu, Hongyuan Huang, Yueqin Xu

“…Preprocessing steps, including noise reduction and contrast optimization, were applied to enhance image clarity. …”
Get full text

Exploring the Benefits of 3D Smart MRI in Resident Training and Surgical Planning for Transcervical Radiofrequency Ablation by Sepehr Janghorbani, Victoria Weprinsky, Alexandre Caprio, Tamatha Fenster, Bobak Mosadegh

“…Residents using Smart MRI reported higher confidence in identifying and treating all fibroids (83% vs. 43%) and rated their spatial understanding significantly higher on Likert-scale assessments (4.6 vs. 3.25). …”
Get full text

Investigating the Dynamic Change and Driving Force of Vegetation Carbon Sink in Taihang Mountain, China by Qiushi Qu, Sihui Jian, Anguo Chen, Chiwei Xiao

“…The results of this study can not only provide a reference for carbon reduction and sink increase and ecological restoration projects in the Taihang Mountains but also benefit the research paradigm of vegetation carbon sequestration in other regions.…”
Get full text

Multi-Temporal Relative Sea Level Rise Scenarios up to 2150 for the Venice Lagoon (Italy) by Marco Anzidei, Cristiano Tolomei, Daniele Trippanera, Tommaso Alberti, Alessandro Bosman, Carlo Alberto Brunori, Enrico Serpelloni, Antonio Vecchio, Antonio Falciano, Giuliana Deli

“…Although the sea level change in this area has been studied for several years, no detailed flooding scenarios have yet been realized to predict the effects of the expected SLR in the coming decades on the coasts and islands of the lagoon due to global warming. …”
Get full text

Changes in habitat suitability for wintering dabbling ducks during dry conditions in the Central Valley of California by Erin E. Conlisk, Kristin B. Byrd, Elliott Matchett, Austen A. Lorenz, Michael Casazza, Gregory H. Golet, Mark D. Reynolds, Kristin A. Sesser, Matthew E. Reiter

“…Overall, species distribution models created using data on the environmental conditions present at the time of bird observations can aid conservation efforts under extreme conditions over large spatial scales.…”
Get full text

Analysis of the spatiotemporal evolution pattern of the synergistic relationship among high temperature, drought, and CHTDs in climate transition zones by Hui Su, Chunxiao Wu, Shuai Zhou, Xiangxu Song, Jiaqi Tian, Xiaoqing Han, Xiao Zhang, Ting Zhang

“…Study region: The Yellow River Basin (YRB) Study focus: Based on the dry and wet characteristics of the basin, various climate zones are delineated. Subsequently, predictions from the coupled four climate models (CanESM5, CNRM-CM6–1, CNRM-ESM2–1, and IPSL-CM6A-LR) and the statistical downscaling model are used to construct standardized precipitation evapotranspiration indices and standardized temperature indices, which reveal the spatiotemporal evolution characteristics of drought and high temperatures in the watershed under different future scenarios (SSP126, SSP245, SSP585). …”
Get full text

ESLC-YOLOv8: Advancing real-time pineapple recognition with lightweight deep learning by Weihua Shen, Mengyao Dong, Zhaoxin Zhang, Xiaying Hao, Yuzhen Su, Zhong Xue

“…First, we propose the EIEStem module to enhance the backbone network's convolutional layers, significantly improving edge feature extraction and spatial information preservation. Second, we introduce the v7DS (YOLOv7 DownSample) module to replace conventional downsampling operators, effectively minimizing feature information loss during resolution reduction. …”
Get full text

Multicenter study correlating molecular characteristics and clinical outcomes of cancer cases with patient-derived organoids by Paloma Navarro, Tatiana P. Grazioso, Arantzazu Barquín, Maria Barba, Mónica Yagüe, Carlos Millán, Irene López, Elena Sevillano, Miguel Quiralte, Paloma Fernández, Diego Losada, Eduardo Caleiras, Julia Calzas, Beatriz Jiménez, Sergio Ruiz-Llorente, Juan Justo, Félix Guerrero, Vital Hevia, Raquel Martín, Francisco José Pérez-Rodriguez, Julia Tejerina, Mario Prieto, Paula Comune, Juan Francisco Rodriguez-Moreno, Jesús García-Donás

“…Abstract Background 3D-spatial interaction between cancer cells influences tumor behavior, making it essential to replicate tumor structures for predicting patient outcomes. …”
Get full text

Contrasting the impact and cost-effectiveness of successive intervention strategies in response to Ebola in the Democratic Republic of the Congo, 2018–2020 by Wu Zeng, Thomas Wilkinson, Mathias Mossoko, Michel Yao, Steve Ahuka-Mundeke, Thibaut Jombart, Hadia Samaha, Dominique Baabo, Jean-Pierre Lokonga, Sylvain Yuma, Anne Cori, Fatima El Kadiri El Yamini, Patrick Hoang-Vu Eozenou, Linda Mobula

“…The spatial spread was moderate with an average 4.4% (95% CrI = (3.5%; 5.4%)) of transmissions moving to different health zones. …”
Get full text

Epidemic characteristics of measles and efforts to control measles infections in Zhejiang Province, China by Rui Yan, Mengya Yang, Hanqing He, Yan Feng, Yang Zhou, Xuewen Tang, Xuan Deng, Yao Zhu, Yuxia Du, Can Chen, Cao Kexin, Shigui Yang

“…We utilized a joinpoint regression model to examine trends in measles. Additionally, we employed SaTScan version 9.5 to identify spatial-temporal clusters. …”
Get full text

Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Statistical measures, including mean, variance, and entropy, were calculated from these features to determine temporal and spatial variations in the network data. Moreover, deep learning models, including long short-term memory networks and convolutional neural networks (CNNs), were used to automatically extract high-level features from raw data such as network logs or sensor readings. …”
Get full text

Transformations in exposure to debris flows in post-earthquake Sichuan, China by I. Utley, T. Hales, E. Hussain, X. Fan

“…Using high-resolution satellite images, we developed a multitemporal building inventory from 2005 to 2019, comparing it to the spatial distribution of previous debris flows and future modelled events. …”
Get full text

A longan-picking sequence planning method for UAV system based on multi-target tracking by Kaixuan Wu, Meiqi Zhang, Linlin Shi, Hengxu Chen, Yuju Mai, Mingda Luo, Hengyi Lin, Jun Li

“…Aiming at the scattered distribution of longan string fruit, a spatial-characteristic-based partitioning strategy is designed, complemented by the Corner-Kmeans clustering algorithm, which enhances clustering stability and partitioning accuracy. …”
Get full text

Spatiotemporal Characteristic of XCO₂ and Its Changing Contribution Rate from Different Influencing Indicators in Mongolian Plateau of Central Asia by Yunga A, Zhengyi Bao, Siqin Tong, Yuhai Bao, Sainbayar Dalantai, Boldbaatar Natsagdorj, Xinle Fan

“…To solve this scientific issue, the synergistic methodology of mathematical statistics—the Pearson correlation and random forest model—was established using the main source of Orbiting Carbon Observatory 2 (OCO-2) satellite data. …”
Get full text

Lightweight Detection and Counting of Maize Tassels in UAV RGB Images by Hang Yang, Jiaji Wu, Yi Lu, Yuning Huang, Pinwei Yang, Yurong Qian

“…Experimental results show that on the MTDC-VS dataset, DLMNet achieves a detection accuracy <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>A</mi><mi>P</mi><mn>50</mn></mrow></semantics></math></inline-formula> of 88.4%, which is 1.6% higher than the baseline YOLOv8 model, with a 31.3% reduction in the number of parameters. …”
Get full text

Mortality Projections, Regional Disparities in the Burden of Neonatal Disorders, and the Status of Achieving SDG Targets by 2030 in South Asia: Insights from the Global Burden of D... by Manya Soni, Mahalaqua Nazli Khatib, Ashok Kumar Balaraman, Rangaswamy Roopashree, Mandeep Kaur, Manish Srivastava, Amit Barwal, G. V. Siva Prasad, Pranchal Rajput, Rukshar Syed, Gajendra Sharma, Sunil Kumar, Ganesh Bushi, Nagavalli Chilakam, Sakshi Pandey, Manvinder Brar, Rachana Mehta, Sanjit Sah, Muhammed Shabil, Abhay M. Gaidhane, Mahendra Singh

“…Neonatal encephalopathy due to birth asphyxia and trauma accounted for the highest DALYs. Forecasts predict continued reductions in neonatal mortality across South Asia, except in Pakistan, where persistently high rates are expected till 2031. …”
Get full text

DENSE-SIM: A modular pipeline for the evaluation of cine displacement encoding with stimulated echoes images with sub-voxel ground-truth strain by Hugo Barbaroux, Michael Loecher, Yannick Brackenier, Karl P. Kunze, Radhouene Neji, Dudley J. Pennell, Daniel B. Ennis, Sonia Nielles-Vallespin, Andrew D. Scott, Alistair A. Young

“…ABSTRACT: Background: Myocardial strain is a valuable biomarker for diagnosing and predicting cardiac conditions, offering additional prognostic information to traditional metrics such as ejection fraction. …”
Get full text

Urban ozone formation and sensitivities to volatile chemical products, cooking emissions, and NO_<i>x</i> upwind of and within two Los Angeles Basin cities by C. E. Stockwell, M. M. Coggon, R. H. Schwantes, C. Harkins, C. Harkins, B. Verreyken, B. Verreyken, B. Verreyken, C. Lyu, C. Lyu, Q. Zhu, Q. Zhu, Q. Zhu, L. Xu, L. Xu, L. Xu, J. B. Gilman, A. Lamplugh, A. Lamplugh, A. Lamplugh, J. Peischl, J. Peischl, J. Peischl, M. A. Robinson, M. A. Robinson, P. R. Veres, P. R. Veres, M. Li, M. Li, A. W. Rollins, K. Zuraski, K. Zuraski, S. Baidar, S. Baidar, S. Liu, T. Kuwayama, S. S. Brown, B. C. McDonald, C. Warneke

“…The model simulated the photochemical processing and transport of temporally and spatially gridded emissions from the FIVE-VCP-NEI17NRT inventory and accurately simulates the variability and magnitude of O<span class="inline-formula">₃</span>, NO<span class="inline-formula">_<i>x</i></span>, and speciated VOCs in Pasadena, CA. …”
Get full text

Total flavonoids of Dracocephalum moldavica L. alleviate cognitive impairment via TNF-α/NF-κB p65 signaling pathway in vascular dementia rats by Shangjia Ma, Jianxin Jia, Jianxin Jia, Lie Wu, Kai Tian, Lu Wang, Hua Li, Jiayu Lv, Dewang Gao, Zhanjun Yang, Zhanjun Yang, Xia Guo

“…The Morris water maze test assessed spatial learning and memory capacities. Nissl staining was used to examine the neuronal damage. …”
Get full text