Integration of ground-based and remote sensing data with deep learning algorithms for mapping habitats in Natura 2000 protected oak forests by Lucia Čahojová, Ivan Jarolímek, Barbora Klímová, Michal Kollár, Michaela Michalková, Karol Mikula, Aneta A. Ožvat, Denisa Slabejová, Mária Šibíková

Subjects: “…Earth observation…”
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Estimation of true dates of various flowering stages at a centennial scale by applying a Bayesian statistical state space model. by Nagai Shin, Hakuryu Fujiwara, Shinjiro Sugiyama, Hiroshi Morimoto, Taku M Saitoh

“…Results were similar when we used air temperature data recorded at weather stations both 1 km and 29 km from the tree. …”
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A Collaborative Data Network for the Asia Oceania Region Enabled by Emerging Technologies to Foster Innovation in a Secure and Open Environment by Alison Specht, Kim Bryceson, Shoufeng Cao, Margaret O’Brien, S. M. Guru, Pedro Pizzigatti Correa, Michelle Waycott

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Impact of COVID-19 on the Air Quality over China and India Using Long-term (2009–2020) Multi-satellite Data by Manish Soni, Sunita Verma, Hiren Jethava, Swagata Payra, Lok Lamsal, Priyanshu Gupta, Janhavi Singh

“…Over the SE and NE China, both NO2 and SO2 levels decreased dramatically in 2020 from that of 2009–19, by more than 40% and 65%, respectively, because of both stricter regulations of emissions and less traffic activity due to reduced social and industrial activities during COVID-19 restrictions. …”
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Insights into the tectonic evolution of the Svecofennian orogeny based on in situ Lu–Hf dating of garnet and apatite from Olkiluoto, southwestern Finland by J. Engström, J. Engström, K. Cutts, S. Glorie, E. Heilimo, E. M. Jolis, R. M. Michallik

“…Solid Earth…”
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Analisis Sentimen pada Data Saran Mahasiswa Terhadap Kinerja Departemen di Perguruan Tinggi Menggunakan Convolutional Neural Network by Yuliska Yuliska, Dini Hidayatul Qudsi, Juanda Hakim Lubis, Khairul Umum Syaliman, Nina Fadilah Najwa

“…Word2Vec digunakan sebagai representasi data saran dan inputan awal pada CNN, dimana Word2Vec merupakan dense vectors yang dapat merepresentasikan hubungan antar kata pada data saran dengan baik. …”
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Clinical efficacy and safety of first‐line nilotinib or imatinib therapy in patients with chronic myeloid leukemia—Nationwide real life data by Petra Belohlavkova, Daniela Zackova, Hana Klamova, Edgar Faber, Michal Karas, Lukas Stejskal, Eduard Cmunt, Olga Cerna, Ivana Jeziskova, Katerina Machova Polakova, Pavel Zak, Tereza Jurkova, Marika Chrapava, Jiri Mayer

“…In the analysis, 163 patients in the nilotinib group and 163 patients in the matched imatinib group were retrospectively evaluated. …”
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Return to Play Assessment After Lateral Ankle Sprains – German Male Elite Youth Football (Soccer) Academy Baseline Data by Zacharias Flore, Götz Welsch, Hendrik Bloch

“… # Study Design Observational Cohort study # Methods Baseline data of performance tests (Y-Balance \[YBT-LQ], Heel Rise \[HRT]; Singe Leg Squat \[SLST]; Single Leg Drop Jump \[SLDJ]; Side Hop \[SHT]; Figure of 8 Hop \[F-8]; Modified Agility T-Test \[MAT]) were assessed in 20 elite youth football players, aged 16-21 years. …”
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Editorial: Multimodal approaches to investigating neural dynamics in cognition and related clinical conditions: integrating EEG, MEG, and fMRI data by Golnaz Baghdadi, Fatemeh Hadaeghi, Chella Kamarajan

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Maximum-likelihood Regression with Systematic Errors for Astronomy and the Physical Sciences. II. Hypothesis Testing of Nested Model Components for Poisson Data by Massimiliano Bonamente, Dale Zimmerman, Yang Chen

“…A novel model of systematic errors for the regression of Poisson data is applied to hypothesis testing of nested model components with the introduction of a generalization of the Δ C statistic that applies in the presence of systematic errors. …”
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Promoting Healthy Relationship Development in Teens, Part I: How Dating Smart in Youth Can Foster Better Relationships in Adulthood by Victor William Harris, Gilon Marts, Martie Gillen

“…Cultivating healthy dating relationships that can lead to healthy adult romantic and marriage relationships is a science that reflects a complicated calculus of the premarital influences that may shape future relationship stability, quality, and satisfaction. …”
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Reservoir Characterization and Volumetric Analysis of “Lee” Field, Onshore Niger Delta, Using 3D Seismic and Well Log Data by P. Adigwe, S. Inichinbia

“… Three dimensional (3D) seismic data, and a suite of four geophysical well logs from four wells located on the Lee field, Niger Delta were analyzed  using Petrel software for the aim of reservoir characterization and  volumetric analysis of the field. …”
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Epidemiologic characteristics of infectious disease-related public health emergencies in Guangdong province, 2014 – 2023: a surveillance data analysis by Weiyi CHEN, Runing GUO, Yun HUANG, Jianhua HUANG, Meiling YANG, Jiya DAI, Fengxiang SHI, Wenjia LIANG

“…Descriptive data analysis was performed using WPS 2019 and R 4.0.3. …”
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Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques. by Halit Tutar, Senol Celik, Hasan Er, Erdal Gönülal

“…The experimental results show that the MARS algorithm is the most suitable model for predicting fresh herbage yield in sorghum x sudangrass hybrid, providing a good alternative to other data mining algorithms.…”
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Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder by Yilu Zhao, Zhao Fu, Eric J. Barnett, Ning Wang, Kangfuxi Zhang, Xuping Gao, Xiangyu Zheng, Junbin Tian, Hui Zhang, XueTong Ding, Shaoxian Li, Shuyu Li, Qingjiu Cao, Suhua Chang, Yufeng Wang, Stephen V. Faraone, Li Yang

“…The current GWAS results identified two significant loci (rs10880574, P = 2.39E-09; rs2000900, P = 3.31E-09) which implicated two genes, TMEM117 and MYO5B, that were primarily associated with both brain- and gut-related disorders. The convolutional neural network (CNN) model, using variants with genome-wide P values less than E-02 (5516 SNPs), demonstrated the best performance with mean squared error (MSE) equals 0.012 (Accuracy = 0.83; Sensitivity = 0.90; Specificity = 0.75) in the validation dataset, 0.081 in an independent test dataset (Acc = 0.61, Sensitivity = 0.81; Specificity = 0.26). …”
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DEEP STRUCTURE, TECTONIC EVOLUTION AND HYDROCARBON POTENTIAL OF THE KALAMIT SWELL (NORTHWESTERN SHELF OF THE BLACK SEA) ACCORDING TO DENSITY MODELING DATA by M.V. Kozlenko, Yu.V. Kozlenko

“…Transcrustal faults, as well as crustal disturbances, which vary from layer to layer of the crystalline crust both in quantity, position, and direction, sometimes forming zones several kilometers wide, are determined. …”
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THE REAL-TIME WATER DISCHARGE COMPUTATION IN THE CONDITIONS OF UNSTEADY FLOW (THE YANA RIVER IN THE VERKHOYANSK GAGING SECTION AS A STUDY CASE) by Yulia V. Izyurova

“…The first method is based on using of optimal extrapolation of the relative deviations of the measured water discharges from the reference rating curve obtained from the data of water discharge measurements for previous years. …”

Experimental study on in-situ simulation of rainfall-induced soil erosion in forest lands converted to cash crop areas in Dabie Mountains. by Gao Li, Tao Yang, Rui Chen, Haogang Dong, Feng Wu, Qinghua Zhan, Jinyan Huang, Minxuan Luo, Li Wang

“…Mathematical methods of descriptive statistics were used to analyze the monitored runoff, soil erosion and soil water content data, and to study the characteristics of their changes and response relationships. …”
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Han, Byung-Chul. La sociedad de la transparencia. Trad. Raúl Gabas. Barcelona: Herder, 2013. 96 pp. by Juan Pablo Serra

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Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC by Xiaoqin Luo, Chao Li, Gang Qin

“…Conclusion Our study delineates two molecular subtypes of HNSCC and establishes a robust prognostic model using multi-omics data and machine learning. These findings provide a framework for personalized treatment selection, offering clinical insights to optimize therapeutic strategies for HNSCC patients.…”
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