Inversion of Leaf Chlorophyll Content in Different Growth Periods of Maize Based on Multi-Source Data from “Sky–Space–Ground” by Wu Nile, Su Rina, Na Mula, Cha Ersi, Yulong Bao, Jiquan Zhang, Zhijun Tong, Xingpeng Liu, Chunli Zhao

“…This study proposes an improved method based on multi-source data, combining the Sentinel-2A spectral response function (SRF) and computer algorithms, to overcome the limitations of traditional methods. …”
Get full text

A combined data assimilation and deep learning approach for continuous spatio-temporal SWE reconstruction from sparse ground tracks by Matteo Guidicelli, Kristoffer Aalstad, Désirée Treichler, Nadine Salzmann

“…To overcome these drawbacks, here, we present a combined probabilistic data assimilation and deep learning approach to reconstruct spatio-temporal SWE from observations of snow depth along ground tracks, imitating ICESat-2 tracks in view of a potential future global application.Our approach is based on assimilating SWE and snow cover information in a degree-day model with an iterative ensemble smoother (IES) which allows temporally reconstructing SWE along hypothetical ground tracks separated by 3 km. …”
Get full text

Using routine primary care data in research: (in)efficient case studies and perspectives from the Asthma UK Centre for Applied Research by David Price, Jennifer K Quint, Andrew Wilson, Hilary Pinnock, Andrew Bush, Amy Hai Yan Chan, Holly Tibble, Steve Cunningham, Stephen Turner, Kay Wang, Luke Daines, Mome Mukherjee, Gwyneth A Davies, Steven Julious, Tracy Jackson, Deepa Varghese, Rami A Alyami, Noelle Morgan

“…Practical consequences included a trial that over-recruited by 20% in order to randomise 144 practices with all required permissions, and a 5-year delay in reporting a trial while retrospectively applied regulations were satisfied to allow data linkage.Conclusions Overcoming the substantial barriers of using routine primary care data will require a streamlined governance process, standardised understanding/application of regulations and adequate National Health Service IT (Information Technology) capability. …”
Get full text

Fact-Checking 5G Security: Bridging the Gap Between Expectations and Reality by Oscar Lasierra, Norbert Ludant, Gines Garcia-Aviles, Esteban Municio, Guevara Noubir, Antonio Skarmeta, Xavier Costa-Perez

Get full text

Compositional transformations can reasonably introduce phenotype-associated values into sparse features by George I. Austin, Tal Korem

“…Through analyses of both synthetic and vaginal microbiome data sets, we demonstrate that when the geometric mean is associated with a phenotype, sparse and CLR-transformed features will also become associated with it. …”
Get full text

Leveraging moisture elimination and hybrid deep learning models for soil organic carbon mapping with multi-modal remote sensing data by Yilin Bao, Xiangtian Meng, Weimin Ruan, Huanjun Liu, Mingchang Wang, Abdul Mounem Mouazen

“…Currently, SOC prediction remains challenging due to unresolved moisture disturbances, underutilized multimodal remote sensing data, and uncertain model transferability. To address these challenges, a new paradigm integrating moisture elimination with advanced hybrid deep learning has been developed. …”
Get full text

Nutritional risk, functional decline, and symptom burden in lung cancer: a study based on PG-SGA scores and biochemical data by Shasha Shen, Shasha Shen, Shiyun Xing, Shiyun Xing, Tingting Shen, Li Niu, Xiaojing Tian, Xiaojing Tian, Hu Ma, Hu Ma, Xiaoxia Gou, Xiaoxia Gou

Get full text

Penerapan Algoritma K-Means Untuk Mengelompokkan Kepadatan Penduduk Di Provinsi DKI Jakarta by Frisma Handayanna, Sunarti Sunarti

“…The research proves that the test results carried out clustering iterations of population density data were obtained in three iterations. For the results obtained by calculations using the K-Means method and using the rapidminer application, the results obtained were of the same value, namely the cluster with the highest population density of three districts/cities, namely South Jakarta, East Jakarta and West Jakarta whose population density continues to increase. …”
Get full text

The use of Remote Sensing Technology in geological Investigation and mineral Detection in El Azraq-Jordan by Samih Al-Rawashdeh, Bassam Saleh, Mufeed Hamzah

“…A remote sensed lineament map was produced using two different methods: (i) application of directional filters and edge enhancement; and (ii) data fusion of ETM+ with SAR image. …”
Get full text

Optimizing hybrid models for forest leaf and canopy trait mapping from EnMAP hyperspectral data with limited field samples by Nizom Farmonov, Susanne Walden, Eric Martinée, Christian Lampei, Mona Schreiber, Lars Opgenoorth, Anjaharinony Andry Ny Aina Rakotomalala, Tobias Müller, Nina Farwig, Stefan Pinkert, Lucy Saueressig, Annabell Rosemarie Wagner, Robert R. Junker, Jochem Verrelst, Jörg Bendix

“…The application of optimized hybrid GPR models to the study area enabled area-wide landscape forest trait mapping with minimal computational effort.…”
Get full text

POSSIBILITIES FOR ECHOCARDIOGRAPHIC DETERMINATION OF PULMONARY ARTERY PRESSURE IN PATIENTS WITH SYSTEMIC CONNECTIVE TISSUE DISEASES: DATA OF A RHEUMATOLOGY EXPERT CENTER by E. V. Nikolaeva, Yu. O. Korsakova, I. A. Kurmukov, S. I. Glukhova, N. N. Yudkina, A. V. Volkov

Get full text

Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes by Mohammad Rashidmayvan, Amin Mansoori, Elahe Derakhshan-Nezhad, Davoud Tanbakuchi, Fatemeh Sangin, Maryam Mohammadi-Bajgiran, Malihehsadat Abedsaeidi, Sara Ghazizadeh, MohammadReza Mohammad Taghizadeh Sarabi, Ali Rezaee, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…LR is a statistical model applied in dichotomous response variable modeling. All data were analyzed by SPSS (Version 22) and SAS JMP software. …”
Get full text

PROFILING IN THE RECRUITMENT OF SUBJECTS FOR CLINICAL TRIALS IN THE LIGHT OF GDPR by Natalia Domagała, Bartłomiej Oręziak, Marek Świerczyński

“…This issue is particularly important due to the regulatory framework for profiling adopted under GDPR (the General Data Protection Regulation). GDPR is of crucial importance for the R&D activities pursued by the pharmaceutical industry and in personalized medicine, and one of the biggest challenges is the practical application of its rules in profiling activities. …”
Get full text

Support Vector and Linear Regression Machine Learning Model on Amperometric Signals to Predict Glucose Concentration and Hematocrit Volume by Kirti Sharma, Pawan K. Tiwari, Sanjay Kumar Sinha

“…Data represents a compendium of information that perpetually expands with each passing moment, contributed by individuals worldwide. …”
Get full text

Research beyond Randomised Controlled Trial: The Importance of Pragmatic Clinical Trials for Generating Real-world Evidence in Current Healthcare by Sangita Jogdand, Smruti Besekar, Satyawan Singh Patel

“…The potential of Real-world Evidence (RWE) to provide valuable insights from Real-world Data (RWD) has drawn a lot of attention recently. …”
Get full text

Boosting Crowdsourced Annotation Accuracy: Small Loss Filtering and Augmentation-Driven Training by Yanming Fu, Weigeng Han, Jingsang Yang, Haodong Lu, Xin Yu

“…Crowdsourcing platforms provide an efficient and cost-effective means to acquire the extensive labeled data necessary for supervised learning. However, the labels provided by untrained crowdsourcing workers often contain a considerable amount of noise. …”
Get full text

Mechanistic insights curcumin’s anti-inflammatory in pancreatic cancer: experimental and computational evidence implicating IL1B interference via IL10RA upregulation and NLRP3/TLR3... by Jun-Feng Cao, Jun-Feng Cao, Kuan Hang, Hao Zhang, Qingjie Xia, Xiao Zhang, Jie Men, Jin Tian, Zengliang Xia, Dunshui Liao, Kezhou Li, Kezhou Li

Get full text

Subgroups: A Python library for Subgroup Discovery by Antonio Lopez-Martinez-Carrasco, Jose M. Juarez, Manuel Campos, Francisco Mora-Caselles

“…Furthermore, the Subgroups Library has been successfully employed in diverse scientific papers and projects, underscoring its efficacy and versatility as a valuable tool for SD exploration and application.…”
Get full text

PNSS: An online plant name service system by Qiu Jinshui, Zhang Jianwen, Jin Tao, Zhuang Huifu

“…We collected mainstream and freely available taxonomic datasets from around the world, integrated them into an extensive taxonomic dataset and subsequently mapped the data in this summary database to Solr search engine. …”
Get full text

Prediction of canopy mean traits in herbaceous plants by the UAV multispectral data: The quest for a better leaf-to-canopy upscaling method by Yuanqi Shan, Yunlong Yao, Lei Wang, Zhihui Wang, Huaihu Yi, Yi Fu, Weineng Li, Xuguang Zhang, Wenji Wang, Zhongwei Jing

Get full text