UAV LiDAR expands the understanding of forest tree diversity by Jianyang Liu, Ying Quan, Guoqiang Zhao, Baozhong Yuan, Bin Wang, Mingze Li

“…The results revealed that (1) the diversity indices calculated with importance value correlate better with LiDAR features than with relative density; (2) among heterogeneity metrics, Rao’s Q outperformed the coefficient of variation (CV), and heterogeneity metrics overall performed better than structural features in estimating tree diversity; (3) the LiDAR data provided fine-scale structural information, with the highest accuracy for estimating tree diversity achieved at a 1 m spatial resolution; and (4) features from the cover category, including canopy cover (CC), cover of the herbaceous layer (CH), and cover of the tree layer (CT), demonstrated greater robustness and stronger correlations with tree diversity across different spatial resolutions. …”
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Population dynamics of Tricentrus sp. and detection of jujube witches'-broom phytoplasma in a Shandong jujube orchard by LI Yong, WEI Jingwei, YU Guoyue, TAN Jing, PEI Guangying, LI Shu, YANG Fan

“…[Objective] China's jujube industry has achieved an annual output value exceeding 100 billion RMB, serving as a crucial economic source for approximately 20 million farmers in saline, sandy, and arid regions. …”
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An Improved Gaussian Mixture Model-Based Data Normalization Method for Removing Environmental Effects on Damage Detection of Structures by Xue-Yang Pei, Hai-Bin Huang, Peng Cao

“…Next, on the basis of the constructed GMM, the modal frequency data are normalized to extract damage features that remain unaffected by environmental variations. Subsequently, Hotelling’s T2 statistic and its cumulative form are calculated for the damage features and designated as the damage indicators; meanwhile, the corresponding damage thresholds are also calculated according to the kernel density estimation technique. …”
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Spatiotemporal evolution of landscape ecological risk and its driving factors of the Beijing–Tianjin–Hebei major mineral belt, 1985–2022 by Yilin Wang, Xiaohong Wang, Wei Zhang, Weidong Man, Mingyue Liu, Linlin Jiao

“…The ‘high-high’ aggregations are primarily located in the northern, central and western parts of the study area, while the ‘low-low’ aggregation zones are mainly located in the southeastern study region. (4) The spatial distribution of landscape ecological risk is predominantly shaped by population density and slope. In the context of interactive factor detection, the positive interaction between slope and average annual temperature, night-time illumination and slope, population density and annual precipitation were identified as exerting a more significant influence on the observed spatial differentiation of landscape ecological risk. …”
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Dendrochemical analysis of Brachystegia longifolia Benth as an indicator of Sulphur deposition in a copper smelting area of Mufulira, Zambia by Charles Mulenga, Daigard Ricardo Ortega-Rodriguez, Hermes Dias Brito, Darius Phiri, Abubakar Sadiq Mohammed, Chisala A. Lwali, James H. Speer

“…This study investigated the dendrochemical potential of Brachystegia longifolia in detecting environmental change induced by variations in industrial pollution load. …”
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Magnetopause Boundary Detection Based on a Deep Image Prior Model Using Simulated Lobster-Eye Soft X-Ray Images by Fei Wei, Zhihui Lyu, Songwu Peng, Rongcong Wang, Tianran Sun

“…To address these challenges, a boundary detection approach is developed that combines image calibration with denoising based on deep image prior (DIP). …”
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Serum and urine apolipoprotien A1 (ApoA1) as biomarkers in bladder cancer by Farhan Hussien Khalaf, Manal Kamal Rasheed, Mohammed Bassil Ismail

“…The most important protein that makes up high density lipoprotein (HDL), ApoA-I apolipoprotein A1 is essential in regulating the right amount of cholesterol. …”
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A Bottom-Up Multi-Feature Fusion Algorithm for Individual Tree Segmentation in Dense Rubber Tree Plantations Using Unmanned Aerial Vehicle–Light Detecting and Ranging by Zhipeng Zeng, Junpeng Miao, Xiao Huang, Peng Chen, Ping Zhou, Junxiang Tan, Xiangjun Wang

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Optical and electrical properties of pristine and transition Metals-doped graphene quantum dots as gas sensors toward H2O and NO2: A first principles study by Hamideh Sharifpour, Naser Hakimi Raad, Ebrahim Nadimi, Negin Manavizadeh, Siavosh Samoodi

“…In this work, we theoretically investigate the variations in the absorbance spectra of hexagonal graphene quantum dots (GQDs) under the influence of different gas molecules to evaluate their potential for optical gas sensing. …”
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Prediction of Winter Wheat Yield and Interpretable Accuracy Under Different Water and Nitrogen Treatments Based on CNNResNet-50 by Donglin Wang, Yuhan Cheng, Longfei Shi, Huiqing Yin, Guangguang Yang, Shaobo Liu, Qinge Dong, Jiankun Ge

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Mechanism–Data Collaboration for Characterizing Sea Clutter Properties and Training Sample Selection by Wenhao Chen, Yong Zou, Zhengzhou Li, Shengrong Zhong, Haolin Gan, Aoran Li

“…Multi-feature-based maritime radar target detection algorithms often rely on statistical models to accurately characterize sea clutter variations. …”
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Machine learning for predicting metabolic-associated fatty liver disease including NHHR: a cross-sectional NHANES study. by Liyu Lin, Yirui Xie, Zhuangteng Lin, Cuiyan Lin, Yichun Yang

“…<h4>Objective</h4>Metabolic - associated fatty liver disease (MAFLD) is a common hepatic disorder with increasing prevalence, and early detection remains inadequately achieved. This study aims to explore the relationship between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and MAFLD, and to establish a predictive model for MAFLD using NHHR as a key variable.…”
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A microgravity investigation of the subsurface at the United Arab Emirates University campus by Fidha Farzana Ismail, Hakim Saibi

“…Gravity methods are widely used in geophysical exploration to detect density variations that may indicate subsurface anomalies. …”
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Spatial and Temporal Mapping of RF Exposure in an Urban Core Using Exposimeter and GIS by Montaña Rufo-Pérez, Alicia Antolín-Salazar, Jesús M. Paniagua-Sánchez, Antonio Jiménez-Barco, Francisco J. Rodríguez-Hernández

“…The study’s innovative approach lies in the integration of GIS technology to uncover and visualize temporal patterns in exposure, particularly during periods of higher pedestrian density. This integration facilitated both the detection of temporal variations and the spatial representation of these changes, enabling rapid identification and assessment of exposure hotspots.…”
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Population trends of jaguars in a tropical forest in southern Mexico by Fernando M. Contreras‐Moreno, Lizardo Cruz‐Romo, Daniel Jesús‐Espinosa, Khiavett G. Sánchez‐Pinzón, Víctor Sánchez‐Cordero, Beatriz C. Luna‐Olivera, José J. Flores‐Martínez, Mario C. Lavariega

“…Instead, we observed a relationship between (1) distance to roads and detection, (2) net primary productivity and movement, and (3) distance to borders and population density. …”
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Exploratory Analysis of Radiomics and Pathomics in Uterine Corpus Endometrial Carcinoma by Valentina Brancato, Nunzia Garbino, Marco Aiello, Marco Salvatore, Carlo Cavaliere

“…Most significant and high cross-scale associations were observed between ADC textural features and features from cell density maps. Correlations involving morphometric features and ADC and T1C first-order features were also observed, reflecting variations in tumor aggressiveness and tissue composition. …”
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Berry curvature-induced transport signature for altermagnetic order by T. Farajollahpour, R. Ganesh, K. V. Samokhin

“…Abstract Altermagnetism has been detected in several materials using spin-sensitive probes. …”
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Negotiating cohabitation in a Nigerian abattoir: One Health perspectives of human-animal-ecosystem interactions examined in the light of the SARS-CoV-2 pandemic by Hellena Debelts, Valerie Allendorf, Olayinka Asala, Ebere Roseann Agusi, Ismaila Shittu, Oluyemi Ogunmolawa, Judith Bakam, Bitrus Inuwa, Jeremiah Ijomanta, Joshua Seyi Oyetunde, Chinonyerem Chinyere, Austine Elah, David Oludare Omoniwa, Klaas Dietze, Adeponle Adeoye, Chinwe Lucia Ochu, Anja Globig, Almudena Mari-Saez, Clement Meseko

“…Virological analyses included RT-qPCR for SARS-CoV-2 RNA detection and ELISA for antibody identification. Fieldwork spanned rainy and dry seasons in 2022 to capture seasonal variations in human-animal interactions. …”
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GRAVITY ANOMALIES OF THE CRUST AND UPPER MANTLE FOR CENTRAL AND SOUTH ASIA by V. N. Senachin, A. A. Baranov

“…The anomalies range from –570 to +350 mGal, which is about twice the range of variations of this field. This directly indicates the presence of large density variations in the lithospheric mantle, which should compensate for the anomalous crustal masses. …”
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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

“…To facilitate prompt fault detection, a fault diagnosis method based on the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is proposed, utilizing the voltage data of battery clusters. …”
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