Lumboperitoneal shunts in children: a retrospective study by Mohammad Elbaroody, Basem Ismail Alhayen, Mohamed Eltoukhy, Ahmed Atallah, Hossam Eldin Mostafa, Ahmed Mohamed Alselisly

“…Two patients underwent shunt revision due to catheter migration, and three patients (15.8%) developed acquired Chiari malformation for whom the lumboperitoneal shunt was removed and replaced with a ventriculoperitoneal shunt; all the patients are doing well till the last follow-up. …”
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Exploring integrated approaches for optimal well placement: a compelling case study of the Sarvak carbonate reservoir within an Iranian oilfield by Vali Mehdipour, Ahmad Reza Rabbani, Ali Kadkhodaie, David A. Wood

“…Abstract The primary purpose of this study is to identify the high reservoir quality area for drilling and perforation of new wells using interrelated geological, petrophysical, and seismic data. Various datasets such as, core analysis data (two wells), petrophysical logs (twenty wells) and 3D seismic cube were used to consider different scenarios for optimum well placement based on the availability and accuracy of the data. …”
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A novel hybrid CLARA and fuzzy time series Markov chain model for predicting air pollution in Jakarta by Nurtiti Sunusi, Ankaz As Sikib, Sumanta Pasari

“…. • The CLARA-FTSMC hybrid method demonstrates high effectiveness in analyzing large datasets, addressing the limitations of previous hybrid clustering fuzzy time series methods. • The number of fuzzy time series partitions is optimally determined based on clustering results obtained through the gap statistic approach, ensuring robust partitioning. • The forecasting accuracy of the CLARA-FTSMC hybrid method, evaluated using MAE and RMSE, showed excellent performance in predicting daily air pollution levels of SO₂ and CO in Jakarta.…”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…This integration simplifies the model by reducing the number of parameters needing adjustment, making it particularly effective for handling imbalanced datasets through an efficient training process; 2) Theoretical analysis demonstrates that ImAUC-PSVM retains the same structural solution as standard PSVM. …”
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Causal Links Between Brain Functional Networks and Endometriosis: A Large-Scale Genetic-Driven Observational Study by Feng S, Wang Y, Liu S, Zhang Y, He L

“…This study aims to explore these relationships using Mendelian Randomization (MR) analysis.Methods: Data from 191 resting-state functional MRI (rsfMRI) phenotypes and endometriosis genetic datasets were analyzed using both forward and reverse MR approaches. …”
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Muscle Architecture of Leg Muscles: Functional and Clinical Significance by Gurpreet Kaur, Rekha Lalwani, Manal M. Khan, Sunita A Athavale

“…There is a paucity of these datasets, especially in the leg muscles. Methods. Sixty muscles of the anterior and lateral compartments from twelve formalin-fixed lower limbs were studied for gross architecture, including the peculiar fibre arrangements and architectural properties of muscles. …”
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Target miRNA identification for the LPL gene in large yellow croaker (Larimichthys crocea) by Kalim Ullah, Aslam Hossain, Mingyue Cao, Liangyi Xue, Yajun Wang

“…The bioinformatics analysis facilitated the compilation and examination of miRNA datasets specific to these tissues. The investigation culminated in the identification of miR-84a and miR-1231-5p as key miRNAs that modulate fat hydrolysis, highlighting their potential roles in lipid metabolism. …”
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Interacting Large Language Model Agents Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

“…Throughout the paper, we numerically demonstrate the effectiveness of our methods on real datasets for hate speech classification and product quality assessment, using open-source models like LLaMA and Mistral and closed-source models like ChatGPT. …”
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Simulation-based validation of a method to detect changes in SARS-CoV-2 reinfection risk. by Belinda Lombard, Harry Moultrie, Juliet R C Pulliam, Cari van Schalkwyk

“…To assess the performance of the catalytic model, we simulated reinfection datasets that incorporated different processes that may bias inference, including imperfect observation and mortality. …”
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A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

“…The DFD model achieves superior performance on eight public NASA and PROMISE datasets (six of which are imbalanced) across five performance indicators, including area under the curve (AUC), geometric mean (G-Mean), F1 score, Matthews correlation coefficient (MCC), and Balance. …”
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PPIH is a novel diagnostic biomarker associated with immune infiltration in cholangiocarcinoma by Jun Ye, Zhitao Chen, Chuan Zhang, Rui Xie, Haini Chen, Peng Ren

“…Methods We analyzed the expression levels, prognostic significance, and diagnostic efficiency of PPIH in CHOL using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets, coupled with gene enrichment analyses. The CIBERSORT database was employed to assess the correlation between PPIH expression and immune cell infiltration in CHOL. …”
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Patient experiences of an ankle fracture and the most important factors in their recovery: a qualitative interview study by Rebecca Samantha Kearney, Rebecca McKeown, David R Ellard, Zi Heng Liew

“…Thematic content analysis was used to identify themes in the data.Setting Individuals were recruited from a sample of participants of a UK-based clinical trial of immobilisation methods for ankle fracture (ISRCTN15537280 at the pre-results stage at time of writing). …”
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Multisite Scenarios of Black Carbon and Biomass Burning Aerosol Characteristics in India by Vivek Kumar, Panuganti C. S. Devara, Vijay K. Soni

“…In this study, we used the India Meteorological Department (IMD) Black Carbon Observational Network datasets to assess the diurnal, seasonal, and long-term BC trends for the period, 2016–2021. …”
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Archaeological Site Detection: Latest Results from a Deep Learning Based Europe Wide Hillfort Search by Jürgen Landauer, Simon Maddison, Giacomo Fontana, Axel G. Posluschny

“…The methodology utilized the Atlas of Hillforts of Britain and Ireland to train a CNN on LiDAR datasets and tested the model’s transferability to Germany and Italy. …”
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Challenges for funders in monitoring compliance with policies on clinical trials registration and reporting: analysis of funding and registry data in the UK by Rachel L Knowles, Frances Rawle, Kam Pou Ha, Julia Mueller, Rosa Parker

“…Of 62 trials completed for over 24 months, 42 (68%) had publicly reported the main findings by 24 months after trial completion; 18 of these achieved this within 12 months of completion. 11 (18%) trials took >24 months to report and 9 (15%) completed trials had not yet reported findings. Five datasets were shared with other researchers.Conclusions Compliance with the funder policy requirements on trial registration was excellent. …”
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Single-cell landscape of dynamic changes in CD8+ T cells, CD4+ T cells and exhausted T cells in hepatocellular carcinoma by Rongqiang Liu, Jing Ye, Jianguo Wang, Wangbin Ma, Zhendong Qiu, Jia Yu, Weixing Wang

“…The results of the three independent datasets suggested that the model had strong prognostic value. …”
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Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer by Xiaolong Liu, Pengxian Tao, He Su, Yulan Li

“…Transcriptome and clinical data of patients with GC were collected from The Cancer Genome Atlas and Gene Expression Omnibus datasets. Single sample gene set enrichment analysis (GSEA) and the randomized forest method were used to establish the prognostic model. …”
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Face Recognition Method for Underground Engineering Based on Dual-Target Domain Adaptation and Discriminative Feature Learning by Yongqiang Yu, Cong Guo, Lidan Fan, Jiyun Zhang, Liwei Yu, Peitao Li

“…Extensive experiments are conducted on public and self-built datasets to verify the proposed method. The results show that <xref ref-type="disp-formula" rid="deqn1">(1)</xref> dual domain adversarial loss, dual CORAL loss, Blur-to-Sharp and NIR-to-VIS image reconstruction, and face keypoints intermediate domain can improve the DTDA performance of the model. …”
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Deep learning powered single-cell clustering framework with enhanced accuracy and stability by Yi Zhang, Xi Feng, Yin Wang, Kai Shi

“…Extensive evaluations on six diverse scRNA-seq datasets demonstrate that scG-cluster consistently outperforms existing state-of-the-art methods in terms of both clustering accuracy and scalability. …”
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A metodologia da tessitura analítica de mídia como possibilidade na pesquisa de enfermagem by Liciane da Silva Costa Dresch, Fernanda Carlise Mattioni, Cristianne Maria Famer Rocha

“…Resultados os dados coletados foram sistematizados, criando a tessitura analítica de mídia, composta de três etapas: leitura integral das reportagens selecionadas e aplicabilidade das regras dos operadores discursivos da mídia impressa; leitura integral e captura dos excertos – nas manchetes - e das redes discursivas - nas reportagens; e categorização dos resultados e elaboração de categorias analíticas a partir de fios condutores sociais e culturais. …”
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