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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Milk Composition Traits of Hamdani Crossbreed Sheep Raised Under Extensive Management by Ali Osman TURGUT, Erman GÜLENDAĞ, Davut KOCA, Sefa ÜNER

“…Milk composition analyses were performed using milk autoanalyzer. Mean values for milk fat (%), solid non-fat (SNF) (%), protein (%), lactose (%), salt (%) and pH, conductivity (mS/cm), freezing point (⸰C) and density (kg/m3) in Hcs were determined as 7.49±0.15, 8.69±0.08, 4.13±0.04, 3.89±0.04, 0.62±0.01, 6.93±0.04, 4.05±0.07, -0.5±0.01, and 1.027.84±0.38 respectively. …”
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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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Baseline levels of microplastics in agricultural soils obscure the effects of additional microplastics from recycled fertilizers by Collin J. Weber, Dominika Kundel, Andreas Fliessbach, Else K. Bünemann, Moritz Bigalke

“…Microplastics were extracted from the soil (two rounds of density separation (1.5 g cm− 3) and Fenton treatment), followed by µFTIR chemical imaging analysis with a size detection limit of 20 μm. …”
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Genome-wide analyses of exonic copy number variants in a family-based study point to novel autism susceptibility genes. by Maja Bucan, Brett S Abrahams, Kai Wang, Joseph T Glessner, Edward I Herman, Lisa I Sonnenblick, Ana I Alvarez Retuerto, Marcin Imielinski, Dexter Hadley, Jonathan P Bradfield, Cecilia Kim, Nicole B Gidaya, Ingrid Lindquist, Ted Hutman, Marian Sigman, Vlad Kustanovich, Clara M Lajonchere, Andrew Singleton, Junhyong Kim, Thomas H Wassink, William M McMahon, Thomas Owley, John A Sweeney, Hilary Coon, John I Nurnberger, Mingyao Li, Rita M Cantor, Nancy J Minshew, James S Sutcliffe, Edwin H Cook, Geraldine Dawson, Joseph D Buxbaum, Struan F A Grant, Gerard D Schellenberg, Daniel H Geschwind, Hakon Hakonarson

“…Previous work has demonstrated an important role for structural variation in a subset of cases, but has lacked the resolution necessary to move beyond detection of large regions of potential interest to identification of individual genes. …”
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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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Calcium Oxide Decomposed From Chicken’s and Goat’s Bones as Catalyst For Converting Discarded Cooking Oil to be Biodiesel by Aldes Lesbani, Yosine Susi, Marieska Verawaty, Risfidian Mohadi

“…Ca-O presence in the samples was detected by FT-IR characterization at wavenumber of 354,90 cm-1. …”
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Development and characterization of a new TILLING population of common bread wheat (Triticum aestivum L.). by Liang Chen, Linzhou Huang, Donghong Min, Andy Phillips, Shiqiang Wang, Pippa J Madgwick, Martin A J Parry, Yin-Gang Hu

“…To simplify the procedure and decrease costs, we use unlabeled primers and either non-denaturing polyacrylamide gels or agarose gels for mutation detection. The value of this new resource was tested using PCR with RAPD and Intron-spliced junction (ISJ) primers, and also TILLING in three selected candidate genes, in 300 and 512 mutant lines, revealing high mutation densities of 1/34 kb by RAPD/ISJ analysis and 1/47 kb by TILLING. …”
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Utilizing shallow seismic refraction in defining the geotechnical properties of the foundation materials: A case study at New Minia City, Nile Valley, Egypt by Salah Shebl, K.S. Gemail, Mohamed Attwa, Shokry A. Soliman, Ahmed Azab, M.H. Farag

“…Also, concluded that the values of Concentration Index, Material Index, Density Gradient, and Stress Ratio are ranging from 4.8 to 11.1, −0.053 to 0.603, −0.819 to −0.59, and 0.11 to 0.357, respectively. …”
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Identification of pediatric MASLD using insulin resistance indices by Kyungchul Song, Eunju Lee, Hye Sun Lee, Young Hoon Youn, Su Jung Baik, Hyun Joo Shin, Hyun Wook Chae, Ji-Won Lee, Yu-Jin Kwon

“…However, given the study’s retrospective design and variations in diagnostic methods across datasets, further validation in larger, diverse cohorts is warranted to refine age-specific cut-off values and optimize screening approaches.…”
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Does breakfast skipping alter the serum lipids of university students? by Shazia Parveen Solangi, Naseem Aslam Channa, Amna Yasin Awan, Muhammad Haneef Mugheri, Zeba Hussain Soomro, Lubna Noorani

“…We found significant variation among age groups for triglycerides (TG), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C) in BS. …”
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Longitudinal surveillance of Aedes aegypti (Diptera: Culicidae) in urban coastal Kenya: population dynamics, blood feeding frequency and dengue virus infection rates by Josephine Osalla, Louis-Clement Gouagna, Gilbert Rotich, Maureen Nzilani, Penina Safari, Kennedy Senagi, Francis Mutuku, Baldwyn Torto, David P. Tchouassi

“…Two dengue-2 virus RNA was detected in two blood-fed specimens that had fed on humans. …”
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Centennial spatiotemporal evolution of AGC in subtropical forests and key driving factors − based on process modeling and geography detector by Lei Huang, Zihao Huang, Xuejian Li, Fangjie Mao, Meixuan Song, Yinyin Zhao, Fengfeng Ye, Lujin Lv, Jiacong Yu, Huaqiang Du

“…The results of the study showed that: (1) the correlation coefficients (R) between the simulated and observed AGC values of the BIOME-BGC model are all above 0.7, indicating that the model can effectively simulate the forest AGC dynamic; (2) In the SSP1-2.6 scenario, AGC increased first and then tended to decrease after reaching the peak in 2080; in the SSP2-4.5 scenario, AGC increased year by year; and in the SSP3-7.0 and SSP5-8.5 scenarios, AGC decreased first and then increased year by year; (3) based on the analysis using coefficient of variation (CV), the Theil-Sen Median (TSM) and the Mann-Kendall (MK) tests, the spatial heterogeneity of forest AGC in Zhejiang Province under the four different scenarios was significantly enhanced, and the density of forest AGC was significantly increased; (4) The OPGD factor detection analysis indicated that the primary independent factors influencing the spatiotemporal dynamics of AGC were nitrogen content under the SSP1-2.6 scenario, and atmospheric CO2 concentration under the SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios. …”
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Accurate distinction of pathogenic from benign CNVs in mental retardation. by Jayne Y Hehir-Kwa, Nienke Wieskamp, Caleb Webber, Rolph Pfundt, Han G Brunner, Christian Gilissen, Bert B A de Vries, Chris P Ponting, Joris A Veltman

“…Copy number variants (CNVs) have recently been recognized as a common form of genomic variation in humans. Hundreds of CNVs can be detected in any individual genome using genomic microarrays or whole genome sequencing technology, but their phenotypic consequences are still poorly understood. …”
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Influence of multiple network structures on bayesian estimation of peer effects and statistical power for generalized linear network autocorrelation models by Guanqing Chen, A. James O’Malley

“…Finally, we perform a statistical power analysis based on these findings for use in designing future studies whose goal is to estimate or to detect peer-effects.…”
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Utilizing Remote Sensing Data for Species Distribution Modeling of Birds in Croatia by Andreja Radović, Sven Kapelj, Louie Thomas Taylor

“…We integrated expert-based population estimates with species distribution models (SDMs) by applying expert-derived density values to areas of suitable habitat predicted by SDMs. …”
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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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Analysis of Spatial and Temporal Changes and Driving Forces of Ecological Environment Quality in Tuojiang River Basin Based on RSEI Improved Modeling by ZHAO Xiaoyan, TAN Shucheng, ZHANG Su, LI Yongping, WU Han, WANG Chao

“…[Methods] Based on the Google Earth Engine platform, Landsat remote sensing images from 2000 to 2020 were selected to construct an ecological environment quality evaluation model with NDVI, WET, LST, NDBSI, and AI indices, and the coefficient of variation, one-way linear regression, and spatial autocorrelation analysis methods were used to analyze the spatial and temporal evolution pattern of ecological environment quality in the watershed, and to detect the driving force using the optimal parameter Geographic Detector Model(OPGD). …”
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Influence of Refractive Condition on Retinal Vasculature Complexity in Younger Subjects by Mohd Zulfaezal Che Azemin, Norsyazwani Mohamad Daud, Fadilah Ab Hamid, Ilyanoon Zahari, Abdul Halim Sapuan

“…A positive correlation (rho = 0.260, P < 0.05) between the Df and the spherical equivalent refraction was detected in this study. Using a linear model, it was estimated that 6.7% of the variation in Df could be explained by spherical equivalent refraction. …”
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Spatiotemporal Assessment of Habitat Quality in Sicily, Italy by Laura Giuffrida, Marika Cerro, Giuseppe Cucuzza, Giovanni Signorello, Maria De Salvo

“…Further, we used spatial statistic tools for identifying clusters or hotspot/coldspot areas and uncovering spatial autocorrelation in HQ values. Finally, we implemented a geographically weighted regression (GWR) model for explaining local variations in the effects on HQ estimates. …”
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