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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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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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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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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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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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

“…Results revealed significant variation within the stem, with density and dynamic modulus of elasticity increasing from the base to the middle before declining at the top, while acoustic conversion efficiency showed an inverse trend. …”
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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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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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Density responses of lesser-studied carnivores to habitat and management strategies in southern Tanzania's Ruaha-Rungwa landscape. by Marie Hardouin, Charlotte E Searle, Paolo Strampelli, Josephine Smit, Amy Dickman, Alex L Lobora, J Marcus Rowcliffe

“…We employed systematic camera trapping and spatially explicit capture-recapture modelling to estimate variation in population density of serval, striped hyaena and aardwolf across the mixed-use Ruaha-Rungwa landscape in southern Tanzania. …”
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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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Individualized Estimation of Baseline Retinal Nerve Fiber Layer Thickness Using Conditional Variational Autoencoder by Ou Tan, PhD, Keke Liu, MD, Aiyin Chen, MD, Dongseok Choi, PhD, Jonathan C.H. Chan, MD, Bonnie N.K. Choy, MD, Kendrick C. Shih, MD, Jasper K.W. Wong, MD, Alex L.K. Ng, MD, Janice J.C. Cheung, MD, Michael Y. Ni, MD, Jimmy S.M. Lai, MD, Gabriel M. Leung, MD, Ian Y.H. Wong, MD, David Huang, MD, PhD

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Construction of high-density SNP genetic maps and QTL mapping for dwarf-related traits in Litchi chinensis Sonn by Fu-chu HU, Zhe CHEN, Xiang-he WANG, Jia-bao WANG, Hong-yan FAN, Yong-hua QIN, Jie-tang ZHAO, Gui-bing HU

“…Litchi chinensis Sonn is widely cultivated in subtropical regions and has an important economic value. A high-density genetic map is a valuable tool for mapping quantitative trait loci (QTL) and marker-assisted breeding programs. …”
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Correlation between immune signature and high‐density lipoprotein cholesterol level in stage II/III colorectal cancer by Yun Wang, Xiao‐qiang Sun, Hao‐cheng Lin, De‐shen Wang, Zhi‐qiang Wang, Qiong Shao, Feng‐hua Wang, Shu‐mei Yan, Jie‐ying Liang, Zhao‐lei Zeng, Huai‐qiang Ju, Rui‐hua Xu, Yu‐hong Li

“…Fifty‐five pairs of tumor tissues were selected according to the variation in HDL‐C levels (high or low) and the matched characterizes (ages, T stage, and N stage). …”
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Transmission selects for HIV-1 strains of intermediate virulence: a modelling approach. by George Shirreff, Lorenzo Pellis, Oliver Laeyendecker, Christophe Fraser

“…Recent data shows that HIV-1 is characterised by variation in viral virulence factors that is heritable between infections, which suggests that viral virulence can be naturally selected at the population level. …”
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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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Evaluation of Yields and Grain Filling Speeds of Bread Wheat Genotypes under End-of-the-Season Drought Stress Conditions by Ahmad Shahizadeh, Rasool Asghari Zakaria, Marefat Ghasemi, Parisa Sheikhzadeh Mosaddeq

“…Extended abstract Background: One method for selecting high-yielding cultivars is selection based on physiological traits. …”
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Mapping of the QTLs governing grain nutrients in wheat (Triticum aestivum L.) under nitrogen treatment using high-density SNP markers by Animireddy China Malakondaiah, Sudhir Kumar, Hari Krishna, Biswabiplab Singh, Sukumar Taria, Monika Dalal, R. Dhandapani, Lekshmy Sathee, Renu Pandey, Ranjeet Ranjan Kumar, Viswanathan Chinnusamy

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From plants to patterns: Constructing a comprehensive online strontium isoscape for Belgium (IsoBel) using high density grid mapping by Amanda Sengeløv, Giacomo Capuzzo, Sarah Dalle, Hannah F. James, Charlotte Sabaux, Elisavet Stamataki, Marta Hlad, Carina T. Gerritzen, Emma M. Legrand, Barbara Veselka, Guy De Mulder, Rica Annaert, Mathieu Boudin, Kevin Salesse, Eugène Warmenbol, Nadine Mattielli, Christophe Snoeck, Martine Vercauteren

“…Sampling sites were selected to cover diverse lithological formations and soil types, ensuring representative coverage of the region’s geological heterogeneity, by using a novel high density grid mapping method. …”
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