An Improved COLD Approach for Monitoring Construction Dynamics Using HLS and LULC Data: A Case Study in the New Capital of Egypt by M. Abdallah, M. Abdallah, M. Abdallah, E. Ali, E. Ali, X. Ding, X. Ding, S. Wu, S. Wu

“…The Continuous Monitoring of Land Disturbances (COLD) algorithm is a widely used method for detecting rapid ground changes using Harmonized Landsat and Sentinel (HLS) data. Despite its advancements, change detection accuracy is often limited by frequent ground alterations, such as large-scale construction during urbanization. …”
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Performance Characteristics of the Battery-Operated Silicon PIN Diode Detector with an Integrated Preamplifier and Data Acquisition Module for Fusion Particle Detection by Allan Xi Chen, Benjamin F. Sigal, John Martinis, Alfred YiuFai Wong, Alexander Gunn, Matthew Salazar, Nawar Abdalla, Kai-Jian Xiao

“…These signals are recorded using a custom-built data acquisition unit, which features an optical fiber data link to ensure the electrical isolation of the detector electronics. …”
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Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems by Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, Warna Karunasena, Hadi Nourizadeh, Shima Entezam, Shahab Hosseini, Naj Aziz

“…The main novelty of this paper lies in its data-driven approach, using various XGBoost models. …”
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Remotely Sensing Phytoplankton Size Structure in the Mediterranean Sea: Insights from In Situ Data and Temperature-Corrected Abundance-Based Models by John A. Gittings, Eleni Livanou, Xuerong Sun, Robert J. W. Brewin, Stella Psarra, Manolis Mandalakis, Alexandra Peltekis, Annalisa Di Cicco, Vittorio E. Brando, Dionysios E. Raitsos

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The greener, the richer, the happier?——Spatial distribution and coupling analysis of urban green space and residents’ emotion based on social media data by Zexun Li, Lihui Hu, Alin Lin, Jiarui Chen, Yue Xu

“…By leveraging social media data as evidence has provided a fresh research perspective on the developmental trajectory of green spaces. …”
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Optimization Problem for Probabilistic Time Intervals of Quasi-Deterministic Output and Self-Similar Input Data Packet Flow in Telecommunication Networks by G. I. Linets, R. A. Voronkin, G. V. Slyusarev, S. V. Govorova

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Edible Coatings for Fish Preservation: Literature Data on Storage Temperature, Product Requirements, Antioxidant Activity, and Coating Performance—A Review by Mia Kurek, Petra Pišonić, Mario Ščetar, Tibor Janči, Iva Čanak, Sanja Vidaček Filipec, Nasreddine Benbettaieb, Frédéric Debeaufort, Kata Galić

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Successful Isolation of Viable Adipose-Derived Stem Cells from Human Adipose Tissue Subject to Long-Term Cryopreservation: Positive Implications for Adult Stem Cell-Based Therapeut... by Sean M. Devitt, Cynthia M. Carter, Raia Dierov, Scott Weiss, Robert P. Gersch, Ivona Percec

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Profile of elderly registered at a family health unit of Fortaleza-CE by Jorge Wilker Bezerra Clares, Maria Célia de Freitas, Paulo César de Almeida, Francisca Tereza de Galiza, Terezinha Almeida Queiroz

“…This is a descriptive and quantitative study which describes the socio-demographic, economical and clinical profile of elderly people registered at a family health unit in Fortaleza in the state of Ceará. Data were collected from May to June 2011, by household survey, with the application of a form with 52 elderly people. …”
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Available Cosmos: Geoinformation Technologies for Schoolchildren by M. A. Sergeeva, M. V. Voronina, M. K. Raskladkina

“…Its origins lie in the rapid expansion of the field of application of geospatial data, in the transformation of this sphere from a highly specialized to mass and, as a consequence, the needs of the aerospace business in obtaining highly qualified, erudite professionals. …”
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Ensemble learning for microbiome-based caries diagnosis: multi-group modeling and biological interpretation from salivary and plaque metagenomic data by Fangqiao Wei, Zailong Wu, Guanghui Li, Xiangyu Sun, Xiangru Shi, Lei Tan, Tianxiang Ai, Long Qu, Shuguo Zheng

“…This study, by focusing on the characteristics of the oral microbiome, offers novel perspectives for data mining and validation of existing data through the application of AI modelling.…”
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CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

“…The obtained data was stored in an authorized Google Sheet and compared to predetermined threshold ranges. …”
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Spatial Estimation of Soil Organic Matter and Total Nitrogen by Fusing Field Vis–NIR Spectroscopy and Multispectral Remote Sensing Data by Dongyun Xu, Songchao Chen, Yin Zhou, Wenjun Ji, Zhou Shi

“…This study addresses this gap by combining field vis–NIR spectra with Gaofen-1 remote sensing data to spatially analyze soil organic matter and total nitrogen at the field scale. …”
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Characterizing the distribution of neural and non-neural components in multi-echo EPI data across echo times based on tensor-ICA by Tengfei Feng, Halim Ibrahim Baqapuri, Jana Zweerings, Huanjie Li, Fengyu Cong, Klaus Mathiak

“…Accordingly, removing short-TE peak components as part of a denoising strategy significantly improved quality control metrics and revealed clearer, more interpretable activation patterns compared to non-denoised data. To our knowledge, this work is the first application of decomposing ME-EPI in a tensor way. …”
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Trends in the treatment of fibromyalgia in South Korea between 2011 and 2018: a retrospective analysis of cross-sectional health insurance data by Eun-Jung Kim, In-Hyuk Ha, Yoon Jae Lee, Dongwoo Nam, Kyoung Sun Park, Jin-Sil Yu, Eun-San Kim, Yeon Cheol Park

“…Women were more likely to receive combination prescriptions (crude OR 1.47 (95% CI 1.29 to 1.68), adjusted 1.18 (95% CI 1.03 to 1.36)).Conclusions Our findings provide basic reference data for the development and application of national guidelines for fibromyalgia.…”
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GeoRoma: il servizio cartografico unificato di Roma Capitale by Redazione MediaGEO

“…This transformation has taken shape through the development of a modern WebGIS platform and the public release of new tools for accessing spatial data. Alongside the institutional Geoportal, the city has recently launched GeoRoma, a mobile application designed to make key geographic information available to users—citizens, professionals, and administrators alike—in an intuitive and location-aware format. …”
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Evaluating Sugarcane Yield Estimation in Thailand Using Multi-Temporal Sentinel-2 and Landsat Data Together with Machine-Learning Algorithms by Jaturong Som-ard, Savittri Ratanopad Suwanlee, Dusadee Pinasu, Surasak Keawsomsee, Kemin Kasa, Nattawut Seesanhao, Sarawut Ninsawat, Enrico Borgogno-Mondino, Filippo Sarvia

“…Yield data collection is an expensive and time-consuming practice that often limits the number of samples collected. …”
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Portable XRF and Vis-NIR spectrometry for predicting chemical properties of forest soils in the Amazon: Insights into sensor data dimensionality reduction by Quésia Sá Pavão, Paula Godinho Ribeiro, Gutierre Pereira Maciel, Sérgio Henrique Godinho Silva, Suzana Romeiro Araújo, Antonio Rodrigues Fernandes, José Alexandre Melo Demattê, Pedro Walfir Martins e Souza Filho, Silvio Junio Ramos

“…Proximal sensor data integrated with machine learning algorithms have been successful in assessing soil chemical parameters. …”
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Using GPS and accelerometer data to precisely record egg laying, incubation and chick hatching of Cinereous Vultures (Aegypius monachus) in-situ by Cornel Cotorogea, Emilian Stoynov, Atanas Grozdanov, Simeon Marin, Hristo Valeriev Peshev, Ivelin Ivanov, Georgi P. Stoyanov

“…As the chick grows and requires less brooding, the accelerometer graph returns to pre-incubation values, indicating the adult's return to a more typical posture on the nest.This methodology offers advantages over traditional monitoring techniques, providing continuous, precise, and non-invasive data acquisition. Its application can enhance conservation programs by enabling timely interventions, improving breeding success rates, and contributing to a deeper understanding of Cinereous Vulture reproductive biology. …”
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Data mining-based screening of prevalent mixture systems in aquatic environments: A case study of antibiotics in the Yangtze River Basin by Ting-Ting Ding, Shi-Lin Du, Hong-Yi Liang, Ya-Hui Zhang, Yong Tao, Ming-Xiao Li, Jin Zhang, Shu-Shen Liu

“…PMSS enables efficient data mining of chemical concentrations, allowing for the identification of a small number of prevalent mixture systems from numerous theoretical possibilities. …”
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