Predicting the risk of lymph node metastasis in colon cancer: development and validation of an online dynamic nomogram based on multiple preoperative data by Longlian Deng, Lemuge Che, Haibin Sun, Riletu En, Bowen Ha, Tao Liu, Tengqi Wang, Qiang Xu

“…This study aimed to develop and validate a nomogram that estimates the risk of LNM in patients with CC using multiple clinical data from patients before surgery. Methods Clinicopathological data were collected from 412 CC patients who underwent Radical resection of CC. …”
Get full text

MSIMRS: Multi-Scale Superpixel Segmentation Integrating Multi-Source Remote Sensing Data for Lithology Identification in Semi-Arid Area by Jiaxin Lu, Liangzhi Li, Junfeng Wang, Ling Han, Zhaode Xia, Hongjie He, Zongfan Bai

“…In order to explore the application potential of superpixel segmentation in lithology classification, this study proposed the Multi-scale superpixel Segmentation Integrating Multi-source RS data (MSIMRS), and conducted a lithology classification study in Duolun County, Inner Mongolia Autonomous Region, China combining MSIMRS and the Support Vector Machine (MSIMRS-SVM). …”
Get full text

Financial Performance of Moroccan Listed Companies: A Multidimensional Analysis of Internal, Macroeconomic, and Institutional Determinants Using Dynamic Panel Data by Asmae AMARHYOUZ, Jalal Azegagh

“…To validate the robustness of the outcomes (heteroskedasticity, autocorrelation, and endogeneity), several panel data estimation techniques were applied, including pooled OLS, fixed effects models, and the Generalized Method of Moments (GMM). …”
Get full text

Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing by Jin Huang, Ming Sheng Xu, Chang Ming Zhu, Guo An Wang

“…Unlike prior studies that primarily focus on single-aspect improvements in either data processing or model architecture, our comprehensive approach simultaneously addresses data imbalance, feature sparsity, and processing efficiency. …”
Get full text

Estimating operational costs for enhanced continuity in water supply and sanitation services: An inverse data envelopment analysis approach in Chilean utilities by Manuel Mocholi-Arce, Alexandros Maziotis, Ramón Sala-Garrido, María Molinos-Senante

“…Study focus: This study introduces an innovative methodological framework based on inverse data envelopment analysis technique to quantify the additional operational costs required for water utilities to enhance their water supply and sanitation continuity while maintaining their techno-economic efficiency. …”
Get full text

Predicting biochar yield from biomass pyrolysis: A comprehensive data-driven approach using machine learning and SHAP analysis by Walid Abdelfattah, Munthar Kadhim Abosaoda, Krunal Vaghela, Gowrishankar J, Prabhat Kumar Sahu, Kamred Udham Singh, R. Sivaranjani, Rohit Chauhan, Siya Singla, Samim Sherzod

“…This study employs a comprehensive data-driven approach to predict biochar yield using machine learning algorithms. …”
Get full text

Corporate social responsibility (CSR) and corporate financial performance (CFP): a panel data analysis of BSE 500 companies in India by Shahin Sultana Mohammed, Musah Mohammed Saeed, Manisha Kumari, Premkumar Borugadda, Nafeesathul Basariya Mohamed Ismail

“…This study explores the interplay between CSR and CFP within BSE 500 companies in India, offering insights into their interconnected impact on business sustainability and profitability. The study analyzed data from the annual reports of 204 Indian firms from 2016 to 2023, yielding a dataset of 1,632 observations. …”
Get full text

Himawari sea surface temperature data reveal regular internal wave activity producing cooling in the northern South China Sea by Xiaoyan Dang, Yi Sui, Danling Tang, Jiujuan Wang, Shengli Chen

“…To address the problems of short observation time, limited range based on measured data, and low accuracy based on mesoscale satellite data for the study of IW-induced sea surface temperature (SST) change, this paper introduce high-frequency geostationary orbit satellite data combined with SST data of different times and analyze and discuss the changes and mechanisms of immediate and long-term spatio-temporal SST distributions in the northern South China Sea (SCS) caused by IWs. …”
Get full text

Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data by Ruoyu Wang, Ruth Hunter, Rodrigo Reis, Pedro C Hallal, Selin Akaraci, Esteban Moro

Get full text

Frequency of Missing TNM Stage Data for Adults With Intellectual or Developmental Disabilities in a Provincial Cancer Registry—A Brief Report by Kelly Biggs, Helene Ouellette‐Kuntz, Rebecca Griffiths, Rebecca Hansford, Julie Hallet, Christine Kelly, Kathleen Decker, David E. Dawe, Shahin Shooshtari, Marni Brownell, Donna Turner, Virginie Cobigo, Alyson Mahar

“…Discussion The absence of stage data has person‐level and population‐level implications. …”
Get full text

Predicting high anger intensity using ecological momentary assessment and wearable-derived physiological data in a trauma-affected sample by Olivia Metcalf, Karen E. Lamb, David Forbes, Meaghan L. O’Donnell, Tianchen Qian, Tracey Varker, Sean Cowlishaw, Sophie Zaloumis

“…However, no prediction models have been built in trauma-exposed populations that leverage real-world data.Objective: This project aimed to determine if wearable-derived physiological data can predict anger intensity in trauma-exposed adults.Method: Heart rate variability (i.e. a commercial wearable stress score) was combined with ecological momentary assessment (EMA) data collected over 10 days (n = 84). …”
Get full text

Review of previously published ambient air respirable crystalline silica concentration data for use in risk assessment of mineral industry sources by John R. Richards, Todd T. Brozell

“…To the extent possible, data from different geographic areas are included to account for differing background (upwind) concentrations. …”
Get full text

Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production by Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

“…ABSTRACT The increasing knowledge of microbial ecology in food products relating to quality and safety and the established usefulness of machine learning algorithms for anomaly detection in multiple scenarios suggests that the application of microbiome data in food production systems for anomaly detection could be a valuable approach to be used in food systems. …”
Get full text

Estimation of Some Lifetime Parameters of Flexible Reduced Logarithmic-Inverse Lomax Distribution under Progressive Type-II Censored Data by M. Mustafa Buzaridah, Dina A. Ramadan, B.S. El-Desouky

Get full text

Revolutionizing cross-border e-commerce: A deep dive into AI and big data-driven innovations for the straw hat industry. by Junjie Dai, Xiaoyan Mao, Pengyue Wu, Huijie Zhou, Lei Cao

“…Findings demonstrate that the application of AI and big data significantly enhances market responsiveness and sales performance for straw hat enterprises in cross-border e-commerce. …”
Get full text

Slovenian Public Libraries in 2010 by Gorazd Vodeb

“…Staff structure and financial data are presented as well as the data about visitors, registered members, loans and other library services.   …”
Get full text

High-resolution Solar Image Registration Using Unsupervised Deep Learning by Hao Zhang, Bo Liang, Xiaoli Yan, Song Feng, Ding Yuan, Yunfang Cai, Wei Dai

Get full text

Continuity of care and medication adherence in patients with angina: a retrospective cohort study using Korea’s National Health Insurance data by Dayea Kim, Jaewoo Cha

“…However, the real-world impact of continuity of care (COC) and medication adherence, measured by the medication possession ratio (MPR)—on angina complications in South Korea remains poorly understood.Objective This study evaluated the effectiveness of COC and MPR in patients with angina using comprehensive national data and examined the outcomes at the hospital level.Methods This retrospective cohort study used data from the National Health Insurance Service of Korea between 2002 and 2019. …”
Get full text

Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data by Dan Kajungu, Henry Owoko Odero, Agnes Kiragga, Steve Bicko Cygu, Betty Nabukeera, Lindsey English, Shakira Babirye, Collins Gyezaho, Maureen Ng'etich, Michael Ochola, David Amadi, Grace Banturaki, Damazo Twebaze Kadengye

“…Introduction Understanding the determinants of disease burden is imperative in enhancing population health outcomes. This study uses data from the Iganga-Mayuge Health and Demographic Surveillance Site, to understand demographic and socioeconomic factors influencing morbidity.Methods We analysed secondary data from 2018 to 2023. …”
Get full text

Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia by Richard G White, Virginia Bond, Peter J Dodd, Ben Marais, Helen Ayles, Emma J Murray, Kwame Shanaube, Albertus Schaap

“…We sought to clarify whether specific communities could have been more/less vulnerable to M. tuberculosis transmission as a result of sociological variety relevant to transmission efficiency.Design We conducted a mixed methods secondary analysis using existing data sets. First, we analysed qualitative data to categorise and synthesise patterns of socio-spatial engagement across communities. …”
Get full text