A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…This paper proposes a novel WPD forecasting model based on RF-DBO-VMD feature selection and BiGRU optimized by an attention mechanism. …”
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Analysis of industrial solid waste for secure and eco-friendly disposal by incineration practices by Chinnarao Menda, Ramakrishna chintala, v d n kumar abbaraju

“…Key parameters analyzed include bulk density, pH, calorific value, and heavy metal concentrations. …”
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Variations in bone mineral density after joint replacement: A systematic review examining different anatomical regions, fixation techniques and implant design by Domenico Alesi, Raffaele Zinno, Maria Scoppolini Massini, Giuseppe Barone, Davide Valente, Erika Pinelli, Stefano Zaffagnini, Agostino Igor Mirulla, Laura Bragonzoni

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Effects on radial growth rate on basic density and compressive strength in 10-year-old Swietenia macrophylla planted in South Kalimantan, Indonesia by Anak Agung Ayu Ratih Frismanti, Wiwin Tyas Istikowati, Ikumi Nezu, Jyunichi Ohshima, Shinso Yokota, Futoshi Ishiguri

“…The trees were classified into three categories (fast-, medium-, and slow-growth) based on the stem diameter. Radial variations of basic density and compressive strength parallel to the grain under green conditions were also determined for 15 selected trees (five trees in each radial growth category). …”
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Local conservation status and economic value of mangrove clam (Pegophysema philippiana) in Sitio Maitom, Barangay Dahican, Mati City, Davao Oriental by Ace N. Palma Gil, Phoebe Nemenzo-Calica, Jhonnel P. Villegas

“…This paper investigates the local conservation status and economic value of Pegophysema philippiana in Maitom, focusing on its population abundance, size distribution, and threats to survival. …”
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A Fault-Tolerant Localization Method for 5G/INS Based on Variational Bayesian Strong Tracking Fusion Filtering with Multilevel Fault Detection by Zhongliang Deng, Ziyao Ma, Haiming Luo, Jilong Guo, Zidu Tian

“…The main contributions are reflected in the following two aspects: first, by innovatively introducing Pearson VII-type distribution for noise modeling, dynamically adjusting the tail thickness characteristics of the probability density function through its shape parameter, and effectively capturing the distribution law of extreme values in the observation data. …”
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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

“…Based on the characterized clutter properties, a hybrid feature selection strategy is further proposed to construct a diverse and compact training sample set by integrating global density distribution with local gradient variation. …”
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Growth characteristics, stress-wave velocity of stems, and radial variations of wood properties and anatomical characteristics in six-year-old Rubroshorea leprosula and R. macrophy... by Haruna Aiso, Ikumi Nezu, Fanny Hidayati, Denny Irawati, Imam Wahyudi, Tatsuhiro Ohkubo, Futoshi Ishiguri

“…Radial variations in some wood properties and anatomical characteristics still did not show stable values, suggesting that the wood examined in the present study (about 10 cm in half radius at six‐year old) might be wood with unstable quality, such as juvenile wood.…”
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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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A Comparison of Magnetic Resonance Imaging Assessment and Biopsy Outcomes with and Without Central Review in Two Swedish Regional Organized Prostate Cancer Testing Programs by Jonas Wallström, Max Alterbeck, Rebecka Arnsrud Godtman, Ola Bratt, Thomas Jiborn, Erik Thimansson

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Kernel Density Based Spatial Clustering of Applications with Noise by Rohan Kalpavruksha, Roshan Kalpavruksha, Teryn Cha, Sung-Hyuk Cha

“…Building on this foundation, we introduce a flexible framework incorporating various kernel functions, including uniform, conical, Epanechnikov, cosine, exponential, and Gaussian kernels, to estimate the density distribution of data points. The threshold values are selected to identify high-density regions by retaining the top 90% of points, while excluding low-density points as noise, thereby enhancing clustering precision. …”
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Study of the Geographical Distribution, Ecological–Biological Characteristics, and Economic Value of <i>Rosa acicularis</i> Lindl., <i>Rosa laxa</i> Retz., and <i>Rosa spinosissima... by Alevtina N. Danilova, Tatyana A. Vdovina, Yuriy A. Kotukhov, Olga A. Anufriyeva, Andrey A. Vinokurov, Elena A. Isakova, Olga A. Lagus, Aidar A. Sumbembayev

“…Under natural conditions, industrial thickets are mainly formed by <i>R. laxa</i> in the Southern Altai and by <i>R. spinosissima</i> in the Southwestern Altai due to their wide distribution and high plant density. Fruit weight ranged from 2.23 to 2.47 g (<i>R. acicularis</i>), 2.28 to 2.68 g (<i>R. laxa</i>), and 2.17 to 2.55 g (<i>R. spinosissima</i>), values generally lower than those previously reported. …”
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Variations in haematological and inflammatory biomarkers and their association with Plasmodium falciparum malaria: a cross-sectional comparative study at a clinic in Ghana by Jaiyeola Kofi Bohli, Patrick Boateng Ansah, Turkson Ephraim Kwamena, Emmanuel Allotey, Richard Vikpebah Duneeh, Ernest Boateng Yeboah, Lynda Addo, Ransford Kyeremeh, Precious Kwablah Kwadzokpui, Kenneth Ablordey

“…Haemoglobin levels showed significant variation across parasite densities, particularly between moderate and low parasitaemia groups (p = 0.026). …”
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Morphoanatomical variations of sugarcane genotypes: a micro-scale comparative analysis by Laura de Lima Armiato, Eduardo João Pereira Jr., Marcelo Rodrigues, Monica Cassel

“…The conventional cultivar exhibited larger mean values for these parameters with the exception of stomatal density, suggesting enhanced capacity for photosynthesis and sap flow under optimal conditions. …”
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Vertical and radial variation in wood acoustical and physical properties of Ailanthus altissima by Khaled T. S. Hassan, Jan Tippner

“…Radially, the damping coefficient was lowest near the pith, increased toward the middle, and reached the highest values near the bark. Shrinkage increased significantly from pith to bark but showed minor axial variation, with similar values at the base and middle, and a significant decrease at the top of the stem.  …”
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Variation analysis and comparison of leaf and fruit traits of triploid hybrid progeny in jujube by Jiayuan Xuan, Quanhui Ma, Lixin Ge, Fenfen Yan, Fenfen Yan, Jun Yu, Jiurui Wang, Cuiyun Wu, Cuiyun Wu, Mengjun Liu

“…The genetic variation of the triploid progeny were further analyzed, which could provide reference for hybrid parents selection, offspring traits prediction, ploidy breeding of jujube.ResultsThe results indicated that the triploid progeny exhibited significantly higher values for leaf width, straight thorn length, and stomatal length compared to diploid individuals. …”
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Application of TaqMan low density array to simultaneous identification of multiple animal-derived components by YU Huizhen, HOU Hanli, YIN Wenxiu, ZHANG Quan, SUN Chao, ZHANG Mingzhe, ZHANG Xiaofeng, MIAO Li, WU Shan

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Variation patterns of physical property parameters for pipeline transportation of impurity-containing NH3 by Pengbo YIN, Bo WANG, Zhenchao LI, Chaofei NIE, Jiaqing LI, Xiucan JIA, Lin TENG, Lilong JIANG

“…This effect became more evident with increasing molecular weights, concentrations, and temperatures of the impurities. The variation trends of NH3 regarding density, viscosity, and specific heat capacity were found to be less affected by the polar impurity of H2O, despite a corresponding increase in these values with rising H2O concentrations. …”
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Study on the incremental carbon sink of tea plantations under spatio-temporal variation characteristics by Yaxiang Pan, Yaxiang Pan, Jingling Bao, Jingling Bao, Yuxuan Ji, Yuxuan Ji, Wen Li, Wen Li, Weiyu Lin, Shuisheng Fan, Shuisheng Fan, Shuisheng Fan, Liyu Mao, Liyu Mao

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Predicting the Relative Density of Stainless Steel and Aluminum Alloys Manufactured by L-PBF Using Machine Learning by José Luis Mullo, Iván La Fé-Perdomo, Jorge Ramos-Grez, Ángel F. Moreira Romero, Alejandra Ramírez-Albán, Mélany Yarad-Jácome, Germán Omar Barrionuevo

“…The predictions’ precision for aluminum and stainless steel obtained an R² value greater than 0.86 and 0.83, respectively. The results of the SHAP values indicated that laser power and energy density are the parameters that have the greatest impact on the predictability of the relative density of Al-Si10-Mg and SS 316L materials processed by L-PBF. …”
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