Examining the levels of psychological support available to patients with haematological cancer in England: a mixed methods study by Eila Watson, Catherine Henshall, Jo Brett, Kate Robinson, Anke Ehlers, Paul Dawson, Graham P Collins, Tracy Mitchell-Floyd, Anya Aspinall, Catriona Gilmour-Hamilton

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Integrated multiomics analysis and machine learning refine neutrophil extracellular trap-related molecular subtypes and prognostic models for acute myeloid leukemia by Fangmin Zhong, Fangyi Yao, Zihao Wang, Jing Liu, Bo Huang, Xiaozhong Wang

“…The formation of NETs is impaired in acute myeloid leukemia (AML), which can result in immunodeficiency and increased susceptibility to infection.MethodsThe gene set variation analysis (GSVA) algorithm was employed for the calculation of NET score, while the consensus clustering algorithm was utilized to identify molecular subtypes. …”
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Integrating Metabolomics and Machine Learning to Analyze Chemical Markers and Ecological Regulatory Mechanisms of Geographical Differentiation in <i>Thesium chinense</i> Turcz by Cong Wang, Ke Che, Guanglei Zhang, Hao Yu, Junsong Wang

“….), a traditional Chinese herb, remains systematically unexplored. This study integrates metabolomics, machine learning, and ecological factor analysis to elucidate the geographical variation patterns and regulatory mechanisms of secondary metabolites in <i>T. chinense</i> Turcz. from Anhui, Henan, and Shanxi Provinces. …”
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Patients Receiving Integrative Medicine Effectiveness Registry (PRIMIER) of the BraveNet practice-based research network: Results of the chronic pain cohort by Jeffery A. Dusek, Qi Gao, Ryung S. Kim, Donald I. Abrams, Benjamin Kligler, Natalie L. Dyer, Kathryn Hansen, Eric J. Roseen, M. Diane McKee

“…Our purpose was to conduct a multi-site prospective, practice-based, observational evaluation of patient reported outcomes in chronic pain patients. Methods: This study took place at seventeen BraveNet Practice Based Research Network integrative medicine clinics. …”
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A novel integrated approach to predict the sodium absorption ratio (SAR) of groundwater sustainability using deep learning models and SHAP approach by Kanak N. Moharir, Chaitanya Baliram Pande, Rabin Chakrabortty, Malay Pramanik, Balamurugan Paneerselvam, Okan Mert Katipoğlu, Subodh Chandra Pal, Miklas Scholz, Krishna Kumar Yadav, Lamjed Mansour, Mohamed Elsahabi

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Comparative and developmental anatomy of the fibularis brevis muscle: morphological variants and their clinical significance by Łukasz Olewnik, Łukasz Olewnik, Ingrid C. Landfald, Ingrid C. Landfald, Daria Domosławska, Daria Domosławska, Kacper Ruzik, Kacper Ruzik, George Triantafyllou, George Triantafyllou, Maria Piagkou, Maria Piagkou, Teresa Vázquez, Teresa Vázquez

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Enhancing disaster prediction with Bayesian deep learning: a robust approach for uncertainty estimation by Hao Peng, Sen Shen, Haichao Zhang, Fei Wang, Fawang Guo, Ruige Zhang

“…To overcome these limitations, this study proposes an enhanced Bayesian Deep Neural Network (BDNN) tailored for flood forecasting, effectively integrating Variational Inference (VI), Monte Carlo (MC) Dropout, and a Hierarchical Attention Mechanism. …”
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De novo KCNK4 variant caused epilepsy with febrile seizures plus, neurodevelopmental abnormalities, and hypertrichosis by Hong-Jun Yan, Wen-Hui Liu, Min-Xing Xu, Peng-Yu Wang, Yu-Jie Gu, Hua Li, Jing Guo, Sheng Luo

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A Study on the Construction and Dynamic Evolution of a Chinese Science and Technology Finance Index by Qingguo Zhang

“…This study addresses regional disparities and the dynamic evolution of China’s science and technology finance integration (STFI) by constructing a composite index system using the entropy method. …”
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Spatiotemporal Evolution of Precipitation Concentration in the Yangtze River Basin (1960–2019): Associations with Extreme Heavy Precipitation and Validation Using GPM IMERG by Tao Jin, Yuliang Zhou, Ping Zhou, Ziling Zheng, Rongxing Zhou, Yanqi Wei, Yuliang Zhang, Juliang Jin

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Global burden and trend of rheumatic heart disease among women of childbearing age, 1990–2021, with projection to 2040 by Yingyi Chen, Binjie Deng, Yeting Nie, Weijin Xian, Yubin Li, Shaojie Yang

“…Methods Data from the Global Burden of Disease Study (GBD) 2021 were analyzed to estimate the incidence, mortality, and disability-adjusted life years (DALYs) due to RHD among WCBA globally and by region from 1990 to 2021. …”
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Regional irrigation water quality index for the Old Brahmaputra River, Bangladesh: A multivariate and GIS-based spatiotemporal assessment by Md. Touhidul Islam, Akash, Mst. Rimi Khatun, Nusrat Jahan, Md. Rakibul Islam, Deboneel Kundu Partho, Mohammad Golam Kibria, A.K.M. Adham

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Screening and comparison of in vitro-induced resistant and clinically resistant Stenotrophomonas maltophilia strains for eravacycline resistance-related genes by Jie Wu, Jiarong Song, Junchang Cui

“…ObjectiveTo identify genes related to eravacycline resistance in Stenotrophomonas maltophilia (Sm) and to provide a theoretical basis for the study of eravacycline resistance mechanisms in Sm and the development of new antibiotics.MethodsThe study employed an integrated omics approach: (1) In vitro antimicrobial susceptibility profiling via broth microdilution to determine baseline MICs for eravacycline and comparator drugs; (2) Induction of resistance in clinical Sm isolates (WJ_4, WJ_14, WJ_18) with low eravacycline MICs through serial passage in escalating drug concentrations; (3) Transcriptome sequencing (RNA-seq) and whole-genome sequencing (WGS) of in vitro-induced resistant strains (WJ_4a, WJ_14a, WJ_18a) and a clinical high-MIC isolate (WJ_97); (4) Bioinformatics analyses, including differential gene expression screening (with |log2(fold change)| &gt; 2 and FDR-adjusted p &lt; 0.05), SNP detection via GATK, and copy number variation (CNV) quantification using CCNE-acc to identify and compare resistance-related genetic alterations.ResultsStable eravacycline-resistant strains were successfully induced, exhibiting 8- to 32-fold MIC increases. …”
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Ecosystem, spatial and trophic dimensions of niche partitioning among freshwater fish predators by Milan Říha, Lukáš Vejřík, Rubén Rabaneda-Bueno, Ivan Jarić, Marie Prchalová, Ivana Vejříková, Marek Šmejkal, Petr Blabolil, Martin Čech, Vladislav Draštík, Michaela Holubová, Tomáš Jůza, Karl Ø. Gjelland, Zuzana Sajdlová, Luboš Kočvara, Michal Tušer, Jiří Peterka

“…Methods We used fine-scale acoustic telemetry to assess the spatial niche overlap of pike and catfish, analyzing their spatial and habitat use in relation to the thermocline and their presence in benthic versus open-water habitats. …”
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Overview of object detection methods based on LiDAR point cloud under adverse weather conditions by Yutian WU, Qing LI, Wenwei SUN, Heng WANG, Weiran WANG

“…Following this, we systematically categorize the existing object detection methods into four main approaches: (1) data enhancement-based ones, which enhance network robustness via augmentation of training datasets to account for weather variations; (2) point cloud denoising-based ones, which mitigate the effect of weather-induced noise via cleaning of raw point cloud data, thereby increasing detection accuracy; (3) domain adaptation-based ones, which use models trained under favorable weather conditions to guide the training of networks designed for adverse weather so as to enhance the model’s generalization ability; and (4) multisensor fusion-based ones, which enhance detection performance via integration of multimodal data from various sources, such as combining LiDAR with camera or radar. …”
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Structural Health Assessment of a Reinforced Concrete Building in Valparaíso Under Seismic and Environmental Shaking: A Foundation for IoT-Driven Digital Twin Systems by Sebastián Lozano-Allimant, Alvaro Lopez, Miguel Gomez, Edison Atencio, José Antonio Lozano-Galant, Sebastian Fingerhuth

“…The analysis employs the Stochastic Subspace Identification with Covariances (SSI-COV) method within an operational modal analysis framework to extract the building’s modal parameters without requiring artificial excitations. …”
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Ilizarov method combined with accordion technique for treating long bone defects in the lower limbs: a systematic review by Zhiqiang Ren, Jinghong Yang, Zi Wang, Lujun Jiang, Lian Tang, Jiyuan Yan, Juncai Liu, Yanshi Liu, Zhong Li

“…Abstract Background Bone defects and nonunion following initial treatment remain significant clinical challenges. The Ilizarov method constitutes a fundamental approach for addressing bone defects, and its integration with adjunctive techniques, such as the accordion maneuver, antibiotic spacers, or internal fixation, has become increasingly widespread. …”
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A Personalized Energy Expenditure Estimation Method Using Modified MET and Heart Rate-Based DQN by Min-Seo Kim, Ju-Hyeon Seong

“…In this paper, we propose Real-Time Energy Expenditure (RTEE), a novel real-time and personalized energy expenditure estimation (EEE) method. The proposed RTEE integrates a Deep Q-Network (DQN)-based activity intensity coefficient inference network with a modified energy consumption prediction algorithm to estimate energy expenditure based on real-time variations in the user’s heart rate measurements. …”
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A New Method to Calculate Induced Current of Thin Wire over Anisotropic Ground under HPM by Le Cao

“…In this paper, the induced current of a thin wire over layered anisotropic half-space under a high-power microwave (HPM) is calculated by using the time-domain integral equation (TDIE) method. The reflection coefficient of a layered anisotropic medium is obtained by the general transmitting matrix (GTM) method combined with Fourier transform. …”
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Development and Validation of Bioanalytical LC–MS/MS Method for Pharmacokinetic Assessment of Amoxicillin and Clavulanate in Human Plasma by Sangyoung Lee, Da Hyun Kim, Sabin Shin, Jee Sun Min, Duk Yeon Kim, Seong Jun Jo, Ui Min Jerng, Soo Kyung Bae

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