Analysis of ionospheric disturbances due to earthquakes using 3D tomography models to test the height maximum of CID correlation in various regions by Dwi S. Lestari, Mokhamad N. Cahyadi, Buldan Muslim, Ihsan N. Muafiry, Mega Wulansari, Akbar Kurniawan, Deasy Arisa

“…The greater the earthquake magnitude, the higher the maximum CID detected. This is because greater earthquake produces compressed energy, which reduces the ionospheric density and reaches the maximum height. …”
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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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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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An investigation on the wind profiles and gravity wave dynamics in MLT region based on the meteor radars from the Meridian Project by Tai Liu, Zhe Wang, MengXi Shi, Willie Soon, ShiCan Qiu

“…The variance of GW disturbances in the zonal and meridional directions increases gradually with height, and there is a strong pattern of annual variation. The zonal momentum flux of GW changes little with height, showing weak annual variation. …”
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Investigation on high Mn austenitic lightweight steels weldability via GTAW overlay welding and butt-welding operations by Giacomo Villa, Silvia Barella, Davide Mombelli, Andrea Gruttadauria, Carlo Mapelli, Shaad Ahmad

“…The fusion zone demonstrated low hardness values, and no hardness peaks associated with κ-carbides were detected in the HAZ. …”
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Corneal endothelial and retinal microvascular changes in pseudoexfoliation syndrome: insights from specular microscopy and OCT angiography by Kursat Atalay, Ibrahim Kocak, Nihat Sayin, Busra Cirak

“…Consecutive patients aged > 45 years with PXS or normal examination results were included. We examined cell density (CD), average cell area (AVG), coefficient of variation (CV), and hexagonality values from the SM. …”
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FIRST RESULTS ON THE DIRECTION STATISTICS OF PAIRS OF EPICENTERS OF NEIGHBOR EARTHQUAKES ON KAMCHATKA by A. A. Gusev, A. A. Palueva

“…The main result of the study is the design and testing of a new technique of investigation of hidden anisotropy of the field of epicenters, and detection of time variations of the revealed features. …”
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Gas chromatography for analysis and estimation of 13C at natural abundance level in fatty acids produced from Aurantiochytrium limacinum, a sustainable source of polyunsaturated fa... by Amina M. Dirir, Kaumeel Chokshi, Kaumeel Chokshi, Abdelmoneim H. Ali, Media Alhanawi, Mohan Rommala, Mayssa Hachem, Mayssa Hachem

“…Cell growth was monitored via optical density, cell counts, and glucose concentration. Cells were harvested at exponential and stationary phases, and lipids were extracted using a green method. …”
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Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 by T. Feng, T. Feng, X. Ma, X. Ma, X. Liu, X. Liu, X. Liu

“…Second, the depth of SGLs along the ICESat-2 profile is detected using the kernel density analysis method. …”
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Land Magnetic survey along a profile from Akaz to Rutba town and its applications by Baghdad Science Journal

“…In addition, there is a considerable difference between the magnetic intensity values of both surveys. The downward continuation method was used in this study for detecting the depth of magnetic anomaly source. …”
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STATISTICAL PROCESSING OF RESULTS OF TESTING OF STUDENTS by Yulia V. Gumennikova, Elena N. Ryabinova, Ruzilya N. Chernitsina

“…Provides statistical analysis of the results of testing of students involved in the experiment conducted by the Department of Higher Mathematics at the Samara State University of Railways, since the resulting test data (rates of assimilation of educational information), which are taken as random variables are a set of numbers, which is difficult to detect any pattern of change (variation). Built interval variation series calculated the most important numerical characteristics of random variable - the sample mean (arithmetic mean value of the flag of sample), the sample variance (the arithmetic average of the squared deviations of the observed values of the trait from their average values) and sample standard deviation was given the opportunity to build a histogram of relative frequencies - a stepped shape consisting of rectangles whose bases are partial intervals, and the height equal to the density of the relative frequency. …”
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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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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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Anisotropy of permeability, P-wave velocity and electrical resistivity of Upper Cretaceous carbonate samples from Tushka Area, Western Desert, Egypt by Mohamed A. Kassab, Andreas Weller

“…The values of the anisotropy ratio of seismic velocity (P-wave velocity) are close to one for all facies, this means that no anisotropy can be detected in the seismic velocity. …”
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PKS J0805-0111: A Second Owens Valley Radio Observatory Blazar Showing Highly Significant Sinusoidal Radio Variability—The Tip of the Iceberg by P. V. de la Parra, S. Kiehlmann, P. Mróz, A. C. S. Readhead, A. Synani, M. C. Begelman, R. D. Blandford, Y. Ding, F. Harrison, I. Liodakis, W. Max-Moerbeck, V. Pavlidou, R. Reeves, M. Vallisneri, M. F. Aller, M. J. Graham, T. Hovatta, C. R. Lawrence, T. J. W. Lazio, A. A. Mahabal, B. Molina, S. O’Neill, T. J. Pearson, V. Ravi, K. Tassis, J. A. Zensus

“…To estimate the significance of the sinusoidal variations, we generate 10 ^6 simulated light curves that reproduce the radio variability characteristics of PKS J0805−0111 and show that the global probability that the periodicity we detect is due to the red-noise tail of the power spectral density is p = 6.7 × 10 ^−5 (3.82 σ ). …”
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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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Hydrogeochemical signatures, quality and driving forces of phreatic groundwater in a typical headwater region of the Yellow River watershed by Kui Liu, Huijun Yan, Wanping Wang, Shengbin Wang, Zhigang Wang, Yong Xiao, Bo Guo, Jie Wang, Shilong Zhang, Guoqiang Zhang, Shaokang Yang, Yu Liu

“…Groundwater exhibits significant variation in hydrochemical quality, with EWQI values ranging from 26 to 185. …”
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Oxidative impact on lipoprotein structure: Insights from dynamic light scattering by Nickolette Kong, Natalia Penaloza, Gustavo Agreda, Angela B. Nguyen, Joseph Gutheinz, Alison Tran, Nhi Nguyen, Tuong Vi Ho, Ana Marin, Birgit Mellis, Richa Chandra

“…We establish the utility of DLS in detecting subtle variations in lipoprotein size, including potential aggregation and fission events resulting from chemical modifications. …”
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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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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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