Comparison of neoadjuvant treatment and surgery first for resectable or borderline resectable pancreatic carcinoma: A systematic review and network meta-analysis of randomized cont... by Lu Huan, Fucai Yu, Ding Cao, Hantao Zhou, Maoling Qin, Yang Cao

“…We assessed the effects of neoadjuvant therapy on R0 resection rate and median overall survival with Bayesian analysis.<h4>Results</h4>Thirteen eligible articles were included. …”
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Identification of Candidate Lung Function-Related Plasma Proteins to Pinpoint Drug Targets for Common Pulmonary Diseases: A Comprehensive Multi-Omics Integration Analysis by Yansong Zhao, Lujia Shen, Ran Yan, Lu Liu, Ping Guo, Shuai Liu, Yingxuan Chen, Zhongshang Yuan, Weiming Gong, Jiadong Ji

“…Then, with a discovery dataset, we conducted Mendelian randomization (MR) and Bayesian colocalization analyses to select potentially causal proteins, followed by a replicated MR analysis with an independent dataset. …”
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Spatial distribution of mixed milk feeding and its determinants among mothers of infants aged under 6 months in Ethiopia: Spatial and geographical weighted regression analysis. by Mekuriaw Nibret Aweke, Muluken Chanie Agimas, Moges Tadesse Abebe, Tigabu Kidie Tesfie, Meron Asmamaw Alemayehu, Werkneh Melkie Tilahun, Gebrie Getu Alemu, Worku Necho Asferie

“…Empirical Bayesian Kriging was used for spatial interpolation to estimate mixed milk feeding prevalence in unsampled areas. …”
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Real-world pharmacovigilance reports of hepatitis A inactivated and hepatitis B (recombinant) vaccine: insights from disproportionality analysis of the vaccine adverse event report... by Yuhang Zhou, Yuhang Zhou, Yue Wang, Yue Wang, Yun Feng, Yun Feng, Huiyue Zhang, Huiyue Zhang, Tao Sun, Tao Sun, Junnan Xu, Junnan Xu, Junnan Xu

“…In the subsequent gender stratified analysis, more AE signals were identified in females compared to males. …”
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Comparative Efficacy and Safety of Different Antiplatelet Agents for Prevention of Major Cardiovascular Events and Leg Amputations in Patients with Peripheral Arterial Disease: A S... by Konstantinos Katsanos, Stavros Spiliopoulos, Prakash Saha, Athanasios Diamantopoulos, Narayan Karunanithy, Miltiadis Krokidis, Bijan Modarai, Dimitris Karnabatidis

“…There is a lack of consensus regarding which type of antiplatelet agent should be used in patients with peripheral arterial disease (PAD) and little is known on the advantages and disadvantages of dual antiplatelet therapy. …”
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Class-weighted Dempster–Shafer in dual-level fusion for multimodal fake real estate listings detection by Maifuza Mohd Amin, Nor Samsiah Sani, Mohammad Faidzul Nasrudin

“…The Dempster–Shafer without class weightage lacks the flexibility to adapt to varying levels of uncertainty or importance across different classes. …”
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Global burden of thyroid cancer in adolescents and young adults (aged 15-39 years) from 1990 to 2021: A systematic analysis of the Global Burden of Disease Study 2021. by Zijian Qiu, Shengjian Yu, Lin Zheng, Ying Lou, Xiuxia Chen, Feng Xuan

“…<h4>Background</h4>Thyroid cancer (TC) is the most common malignancy of the endocrine system and head-and-neck region, yet data on its burden in adolescents and young adults (AYAs) is lacking. This study aimed to estimate the global burden of TC among AYAs from 1990 to 2021.…”
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Analyzing gait data measured by wearable cyborg hybrid assistive limb during assisted walking: gait pattern clustering by Yasuko Namikawa, Hiroaki Kawamoto, Hiroaki Kawamoto, Hiroaki Kawamoto, Akira Uehara, Akira Uehara, Yoshiyuki Sankai, Yoshiyuki Sankai, Yoshiyuki Sankai

“…Despite the potential use of the gait data from the HAL's sensor information, there is still a lack of analysis using such gait data and knowledge of gait patterns during HAL use. …”
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Online Purchase Behavior Prediction Model Based on Recurrent Neural Network and Naive Bayes by Chaohui Zhang, Jiyuan Liu, Shichen Zhang

“…The contributions of this paper are as follows: (1) By constructing an online purchasing behavior model RNN-NB, which integrates the N vs 1 structure Recurrent Neural Network and naive Bayesian model, the validity limitations of some single-architecture recommendation algorithms are solved. (2) Based on the existing naive Bayesian model, the prediction accuracy of online purchasing behavior is further improved. (3) The analysis based on the features of the time series provides new ideas for the research of later scholars and new guidance for the marketing of platform merchants.…”
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Population dynamics by E. G. Cooch, A. A. Dhondt

“…With the advent of numerical approaches to addressing some of the traditionally ‘tricky’ parts of Bayesian inference (e.g., MCMC), and relatively user–friendly software, we suspect that there will be a marked increase in the application of Bayesian inference to the analysis of population dynamics. …”
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Assessing the E-bike trends and impact on sustainable mobility: A national-level study in the Netherlands by Bingyuan (Amelia) Huang, Hans Wüst, Mathijs de Haas

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An Integrated Strategy for Interpretable Fault Diagnosis of UAV EHA DC Drive Circuits Under Early Fault and Imbalanced Data Conditions by Yang Li, Zhen Jia, Jie Liu, Kai Wang, Peng Zhao, Xin Liu, Zhenbao Liu

“…An integrated learning and Bayesian network-based fault diagnosis strategy is proposed to address the problems of early fault diagnosis, poor unbalanced data processing performance, and lack of interpretability in intelligent fault diagnosis in engineering practice. …”
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Integration of national demographic-disturbance relationships and local data can improve caribou population viability projections and inform monitoring decisions by Josie Hughes, Sarah Endicott, Anna M. Calvert, Cheryl A. Johnson

“…We propose a simple Bayesian population model that integrates prior information from a national analysis of demographic-disturbance relationships with available local demographic data to improve population viability projections, and to reduce the risk that a lack of local data will be used as a reason to delay conservation action. …”
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Tracking Nitrate Sources in the Lower Kagera River in the Lake Victoria Basin: Insights from Hydrochemistry, Isotopes, and the MixSIAR Model by Catherine Mathenge, Stephen Mureithi, Pascal Boeckx, Benjamin Nyilitya, Cargele Masso

“…This study utilized δ¹⁵N and δ¹⁸O isotope analysis in nitrate, hydrochemistry, and the Bayesian mixing model (MixSIAR) to identify and quantify nitrate sources. …”
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Dynamic modelling under uncertainty: the case of Trypanosoma brucei energy metabolism. by Fiona Achcar, Eduard J Kerkhoven, SilicoTryp Consortium, Barbara M Bakker, Michael P Barrett, Rainer Breitling

“…This work will now form the basis for a comprehensive Bayesian analysis and extension of the model considering alternative topologies.…”
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Vascular risk is not associated with PET measures of Alzheimer's disease neuropathology among cognitively normal older adults by Murat Bilgel, Alisa Bannerjee, Andrea Shafer, Yang An, Susan M. Resnick

“…These null findings were replicated using a data-driven vascular risk score in the BLSA based on a principal component analysis of eight indicators of vascular health.Our data provide moderate evidence towards the lack of an association between vascular risk and concurrent AD neuropathology among cognitively normal older adults. …”
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Advancing student outcome predictions through generative adversarial networks by Helia Farhood, Ibrahim Joudah, Amin Beheshti, Samuel Muller

“…Second, augmenting the real datasets with newly created synthetic observations to fill gaps in datasets that lack student data. We validate the synthetic data before employing these approaches using Correlation Analysis, Density Analysis, Correlation Heatmaps, and Principal Component Analysis. …”
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An Innovative Approach to the Identification of Reference Safety and Security Scenarios in the Process Industry by Matteo Iaiani, Alessandro Tugnoli, Valerio Cozzani

“…To overcome this limitation, the BAS2E (Bayesian network Analysis of Safety and Security Events) methodology was developed to systematically derive reference scenarios from historical event data using Bayesian Networks (BN). …”
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Deep learning-based image classification for integrating pathology and radiology in AI-assisted medical imaging by Chenming Lu, Jiayin Zhang, Ren Liu

“…Current AI-driven approaches for medical image analysis, despite significant progress, face several challenges, including handling multi-modal imaging, imbalanced datasets, and the lack of robust interpretability and uncertainty quantification. …”
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Novel machine learning driven design strategy for high strength Zn Alloys optimization with multiple constraints by Chenfeng Pan, Wenwen Lin, Jianxing Zhou, Wei Jian, Ka Chun Chan, Yuk Lun Chan, Lu Ren

“…Nevertheless, their current mechanical properties limit application in more advanced fields. Due to the lack of clear compositional design methods, the development of high-performance Zn alloys is urgently needed. …”
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