Design differences and variation in results between randomised trials and non-randomised emulations: meta-analysis of RCT-DUPLICATE data by Sebastian Schneeweiss, Shirley V Wang, Rachel Heyard, Leonhard Held

“…Objective To explore how design emulation and population differences relate to variation in results between randomised controlled trials (RCT) and non-randomised real world evidence (RWE) studies, based on the RCT-DUPLICATE initiative (Randomised, Controlled Trials Duplicated Using Prospective Longitudinal Insurance Claims: Applying Techniques of Epidemiology).Design Meta-analysis of RCT-DUPLICATE data.Data sources Trials included in RCT-DUPLICATE, a demonstration project that emulated 32 randomised controlled trials using three real world data sources: Optum Clinformatics Data Mart, 2004-19; IBM MarketScan, 2003-17; and subsets of Medicare parts A, B, and D, 2009-17.Eligibility criteria for selecting studies Trials where the primary analysis resulted in a hazard ratio; 29 RCT-RWE study pairs from RCT-DUPLICATE.Results Differences and variation in effect sizes between the results from randomised controlled trials and real world evidence studies were investigated. …”
Get full text

What happens between first symptoms and first acute exacerbation of COPD – observational study of routine data and patient survey by Alex Bottle, Alex Adamson, Xiubin Zhang, Benedict Hayhoe, Jennifer K Quint

“…Main outcome measures First acute exacerbation of chronic obstructive pulmonary disease. Data sources Clinical Practice Research Datalink Aurum; new online survey. …”
Get full text

Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…To address these challenges, this paper proposes a new method called Siagra-ConSA-HSOA (Siamese Graph Convolutional Split-Attention Network with NLP-based Social Sentiment Data). Two data sources feed the model: specifically, NIFTY-50 Stock Market and real-time Twitter sentiment. …”
Get full text

Using Geodetic Data to Monitor Hydrological Drought at Different Spatial Scales: A Case Study of Brazil and the Amazon Basin by Xinyu Luo, Tangting Wu, Liguo Lu, Nengfang Chao, Zhanke Liu, Yujie Peng

“…The results indicate that the time series of TWS changes derived from different data sources are highly correlated, with correlation coefficients exceeding 0.85, and are consistent with the trend of precipitation variation, reflecting notable seasonal fluctuations, i.e., an increase in precipitation during the spring and summer seasons leads to a rise in TWS, while a decrease in precipitation during the autumn and winter seasons triggers a reduction in TWS. …”
Get full text

AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition by N. M. Mahowald, L. Li, J. Vira, M. Prank, D. S. Hamilton, H. Matsui, R. L. Miller, P. L. Lu, P. L. Lu, E. Akyuz, D. Meidan, P. Hess, H. Lihavainen, C. Wiedinmyer, J. Hand, M. G. Alaimo, C. Alves, A. Alastuey, P. Artaxo, A. Barreto, F. Barraza, S. Becagli, G. Calzolai, S. Chellam, Y. Chen, P. Chuang, D. D. Cohen, C. Colombi, E. Diapouli, G. Dongarra, K. Eleftheriadis, J. Engelbrecht, C. Galy-Lacaux, C. Gaston, D. Gomez, Y. González Ramos, Y. González Ramos, R. M. Harrison, C. Heyes, B. Herut, B. Herut, P. Hopke, P. Hopke, C. Hüglin, M. Kanakidou, M. Kanakidou, M. Kanakidou, Z. Kertesz, Z. Klimont, K. Kyllönen, F. Lambert, F. Lambert, X. Liu, R. Losno, F. Lucarelli, W. Maenhaut, B. Marticorena, R. V. Martin, N. Mihalopoulos, N. Mihalopoulos, Y. Morera-Gómez, A. Paytan, J. Prospero, S. Rodríguez, S. Rodríguez, P. Smichowski, D. Varrica, B. Walsh, C. L. Weagle, X. Zhao

“…There are substantial data sets describing aerosol particles in the literature or in public health databases, but they have not been compiled for easy use by the climate and air quality modeling community. …”
Get full text

Assessing the role of meat consumption in human evolutionary changes. A review by N. A. Gorbunova

“…The eating habits of our ancestors have been studied using a variety of methods, including anthropometry, the use of archaeological data, and isotope analysis of bones and teeth to determine trophic status. …”
Get full text

Genetic types and accumulation models of natural gas in the Weixinan depression of the Beibu Gulf Basin in the western South China Sea by Desheng Hu, Gang Zhou, Xinde Xu, Junjun You

“…The carbon isotopes of alkane gases generally show a positive sequence distribution, and a degree of carbon isotopic reversal in natural gas occurs in some well areas. It is speculated that the carbon isotope reversal may be related to the mixing of natural gas from multiple sets of source rocks in the same stage or from the same set of source rocks in different stages. …”
Get full text

Logging Prediction Method of Organic Carbon in Mixed Deposits Based on Machine Learning by CHEN Liangyu, HU Lang, XIN Jintao, LI Yonggui, CHEN Zhi, FU Jianwei

“…The quantitative evaluation and prediction of total organic carbon (TOC) content is an important part of source rock quality evaluation. However, the traditional TOC content prediction methods, such as geochemical analysis, nuclear magnetic resonance response and empirical formula, have some problems, such as high prediction cost and difficult to deal with complex strata and lithology overlap. …”
Get full text

Analysis of Variance and Correlation Study of Chlorophyll-a in North and South Coast of Lombok Island Using Aqua MODIS Image Data by Hendrata Wibisana, Siti Zainab, Zetta Rasullia Kamandang, Muhammad Rusdi

“…The presence of chlorophyll-a in phytoplankton is much investigated concerning the existence of fish as a source of livelihood for fishermen around the globe.  …”
Get full text

A Procedure for Extending Input Selection Algorithms to Low Quality Data in Modelling Problems with Application to the Automatic Grading of Uploaded Assignments by José Otero, Ana Palacios, Rosario Suárez, Luis Junco, Inés Couso, Luciano Sánchez

“…When selecting relevant inputs in modeling problems with low quality data, the ranking of the most informative inputs is also uncertain. …”
Get full text

Using an Explainable Machine Learning Approach to Produce High‐Resolution Hourly Precipitation Estimates for a Typical Data‐Deficiency Basin by Yi Lyu, Bin Yong

“…In this study, we combined the machine learning technique and an improved side‐scaling algorithm to produce a high‐resolution (1/30°) hourly precipitation data set for a typical lack‐data basin. The proposed approach merges multi‐source information from FY‐4A satellite retrievals, rain gauges, and some precipitation‐related auxiliary variables including temperature, dew point temperature, surface pressure, and soil moisture. …”
Get full text

Linking patterns to processes: Using hunting bag data to classify raccoon (Procyon lotor) invasion stages in Germany since the 2000s by Sarah Cunze, Gaby Schneider, Norbert Peter, Sven Klimpel

“…In some cases the invasion processes might develop for longer time period than what could be studied. …”
Get full text

Meteoropathy: myth or reality? Assessment of the relationship between cardiovascular diseases and weather conditions according to data from a Moscow hospital by O. M. Drapkina, S. K. Zyryanov, R. N. Shepel, D. O. Orlov, E. A. Rogozhkina, P. V. Egorov, I. S. Yavelov

“…Information from the website www.weather.com was used as a source of meteorological data. The following indicators were assessed daily: daytime air temperature (t), nighttime air temperature, maximum diurnal air temperature variation, atmospheric pressure, maximum diurnal atmospheric pressure variation, amount of precipitation. …”
Get full text

Overview of deep learning and large language models in machine translation: a special perspective on the Arabic language by Sanaa Abou Elhamayed, Mohamed Nour

“…A critical survey is presented to show the important role of DL and LLMs in MT. Some open-source toolkits, datasets and some commercial MT systems are collected and briefly presented. …”
Get full text

Small language models enable rapid and accurate extraction of structured data from unstructured text: An example with plants and their specialized metabolites by Lucas Busta, Alan R. Oyler

“…Small language models (SLMs), however, also have potential in this area as they have smaller compute footprints and allow users to keep data in-house. Here, we quantitatively evaluate the ability of SLMs to: (i) score references according to project-specific relevance and (ii) extract and structuring data from unstructured sources (scientific abstracts). …”
Get full text

Risk assessment for the population of regions of the Russian Federation from exposure to radon based on data from radiation-hygienic passports of territories by D. V. Kononenko, T. A. Kormanovskaja

“…Such models take into account the combined effect of smoking and exposure to radon.The paper describes the procedure for calculating three risk estimates that could be used to characterize a given region or for interregional comparisons. Calculating some of risk estimates requires additional demographic and medical data, which can be obtained from different sources of official statistics.…”
Get full text

The elephants (Loxodonta africana) of Zoba Gash Barka, Eritrea: Part 3. Ecological and other data from tusks, teeth and carcasses by Yohannes Yacob, Jeheskel Shoshani, Yohannes Hagos, Emun Kebrom

“…Body measurements and pathological data were taken from 11 elephants which were found dead between 2002 and 2004: four had fallen into manmade water wells, two were killed by farmers, and 'five died form unknown causes although some exhibited pathological bones and teeth.' …”
Get full text

Reliability Testing of Machine Learning Model Prediction Capability towards Unidentifiable Microplastic Spectral Data: Triple Battery and Colorant Investigation by Wesley A. Williams, Shyam Aravamudhan

“…Abstract Microplastics (MPs) are exudated fragments and fibers from environmental plastic refuse in the lower millimeter to micrometer range with some intentionally created particles and degraded exudates from anthropogenic sources. …”
Get full text

Factors Affecting Pre-Travel Planning of Families Netnographic Study of Facebook Group “The Travel Diary” by Rameen Shahzad, Nabeela Adeel Siddiqui, Rida Taimur, Fiza Sariyo Sariyo

“…The themes that arose from the eight-week observation were traveler characteristics, travel characteristics, destination characteristics, travel arrangements and sources of recommendations. Some factors that, to the best of the researcher’s knowledge, have not been studied yet in literature were food related and baby related arrangements. …”
Get full text

RANCANG BANGUN MINI LAB FLUIDA SEBAGAI OBJEK PENGAMBILAN DATA UNTUK KEPERLUAN PENELITIAN DI UNIVERSITAS MERCUBUANA KERANGGAN by Aji Gunawan

“…Design and development of mini lab of fluid is necessary accomplished to support activity of collecting data. The references are used in the study of literature for design this research object, such as book, journal and other internet sources. …”
Get full text