Can implementation failure or intervention failure explain the result of the 3D multimorbidity trial in general practice: mixed-methods process evaluation by Ali R G Shaw, Bruce Guthrie, Chris Salisbury, Cindy Mann, Lesley Wye, Mei-See Man, Katherine Chaplin

“…Interviews, focus groups and review observations were analysed thematically and integrated with quantitative data about implementation. …”
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An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer by Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay, Nidhan K. Biswas

“…Despite the presence of numerous bioinformatic algorithms for estimating mutation pathogenicity, there is significant variation in their assessments. This inconsistency is evident even for well-established cancer driver mutations. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…Hybrid forecasting models were then constructed by integrating VMD with both statistical (autoregressive integrated moving average [ARIMA]) and deep learning (gated recurrent unit [GRU], long short-term memory [LSTM], and Transformer) architectures. …”
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Evaluation of the efficacy of aromatherapy and complementary yoga on indicators of medication regimen complexity: A retrospective study by Megumi H. Yahara, Toshiko Sakamoto, Kazuhisa Maeda, Atsushi Kinoshita, Kenji Ikeda

“…Abstract Background In Japan, with aging population, there is a growing emphasis on community-based integrated care system, focusing on supporting healthy lifestyles and promoting prevention in medicine, nursing care, and welfare. …”
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Evaluating COI and ITS2 dual barcoding for molecular delimitation and taxonomic insights in Arenosetella Wilson, 1932 (Harpacticoida: Ectinosomatidae) along Turkish Coasts by Dilara Bakmaz, Serdar Sönmez, Ertan Mahir Korkmaz

“…These sequences revealed informative structural variation, including CBCs among candidate species. …”
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MATHEMATICAL MODELING OF THE INFLUENCE OF RELAXATION PROCESSES ON THE TEMPERATURE FIELD IN AN ELASTIC HALF-SPACE by I. A. Dzhemesyuk, S. G. Gorbunov

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0.003°/h bias instability of honeycomb disk resonator gyroscope achieved by mode reversal combined mode deflection control method by Liangqian Chen, Qingsong Li, Tongqiao Miao, Peng Wang, Xuhui Zhang, Yang Zhang, Xuezhong Wu, Dingbang Xiao

“…The average bias instability of honeycomb disk resonator gyroscopes can reach 0.003°/h at integration times of 8500 s after applying the new method across three prototypes, which is the best reported performance of the MEMS gyroscope thus far. …”
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Patient safety education in undergraduate medical education through a global lens: a scoping review by Njoud Aldardeir, Qabirul Karan Abdullah, Linda Jones

“…Methods We followed the JBI protocol for undertaking scoping reviews to identify evidence-based gaps and recommend further research supporting integration of PSE into undergraduate curricula. …”
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SpaSEG: unsupervised deep learning for multi-task analysis of spatially resolved transcriptomics by Yong Bai, Xiangyu Guo, Keyin Liu, Bingjie Zheng, Yilin Wei, Yingyue Wang, Wenxi Zhang, Qiuhong Luo, Jianhua Yin, Liang Wu, Yuxiang Li, Yong Zhang, Ao Chen, Xiangdong Wang, Xun Xu, Chuanyu Liu, Xin Jin

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Edaphic and meteorological parameters as determinants of radon exhalation and its environmental implication in Peruvian agroecosystems by B. Pérez, L. C. Stieff, R. E. Ponce-Amanca, C. J. Guevara-Pillaca, D. Palacios

“…While studies have examined radon exhalation, few have focused on modeling its behavior in agricultural settings or identifying key environmental and soil parameters that influence its variation. This study addresses this gap by applying Artificial Neural Network (ANN) models and Monte Carlo methods. …”
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Research on the Development of an Inland Lake Bathymetry Estimation Model Based on Multispectral Data by Junzhen Meng, Yunfei Wang, Wenkai Liu, Xiaoquan Yang, Peipei He

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Optimal Design of Integrating Two‐Level Artificial Intelligent With Three Degrees of Freedom‐PDF (TLNF‐3DOFPDF) Controller for AGC of Three‐Area Multi‐Sources Power System... by Getaneh Mesfin Meseret, Rajesh Kumhar, Tarkesh Kumar Mahato, Nishant Kumar, Poonam Lakra, M. D. Mofeed Alam

“…The research assesses controller performance using multiple indices Integral of Time‐weighted Squared Error (ITSE), Integral of Squared Error (ISE), Integral of Time‐weighted Absolute Error (ITAE), and Integral of Absolute Error (IAE) and finds that ISE yields the most optimal results. …”
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Comprehensive Analysis of Phenotypic Traits in Chinese Cabbage Using 3D Point Cloud Technology by Chongchong Yang, Lei Sun, Jun Zhang, Xiaofei Fan, Dongfang Zhang, Tianyi Ren, Minggeng Liu, Zhiming Zhang, Wei Ma

“…Based on the plant spread and plant height, a linear regression prediction of Chinese cabbage weights was conducted, yielding an R² value of 0.76. Integrated optimization algorithms were used to test the parameters, reducing the measurement time from 55 min when using traditional methods to 3.2 min. …”
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A 4D-EnKF Method via a Modified Cholesky Decomposition and Line Search Optimization for Non-Linear Data Assimilation by Elías D. Nino-Ruiz, Jairo Diaz-Rodriguez

“…To ensure global convergence, we integrate line-search optimization into the filter formulation. …”
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Unraveling regional variability in Dengue outbreaks in Brazil: leveraging the Moving Epidemics Method (MEM) and climate data to optimize vector control strategies. by Ayrton Sena Gouveia, Marcelo Ferreira da Costa Gomes, Iasmim Ferreira de Almeida, Raquel Martins Lana, Leonardo Soares Bastos, Lucas Monteiro Bianchi, Sara de Souza Oliveira, Eduardo Correa Araujo, Danielle Andreza da Cruz Ferreira, Dalila Machado Botelho Oliveira, Vinicius Barbosa Godinho, Luã Bida Vacaro, Thais Irene Souza Riback, Oswaldo Gonçalves Cruz, Flávio Codeço Coelho, Cláudia Torres Codeço

“…Statistical outputs from MEM included the mean outbreak onset, duration, and variation of these measurements, pre- and post-epidemic thresholds, and the high-intensity level of cases. …”
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A combined model method was used to identify the main influencing factors of soil heavy metal pollution sources in Qian river, China by Yuru Li, Zihua Wang, Leiyu Liu, Yani Geng, Jun Zhang

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Low-coverage whole genome sequencing of cell-free DNA to predict and track immunotherapy response in advanced non-small cell lung cancer by Florian Janke, Mateo Gasser, Arlou K. Angeles, Anja L. Riediger, Magdalena Görtz, Louise Appenheimer, Astrid K. Laut, Simon Ogrodnik, Sabrina Gerhardt, Albrecht Stenzinger, Marc A. Schneider, Michael Thomas, Petros Christopoulos, Holger Sültmann

“…Targeted next-generation sequencing (NGS) of circulating tumor DNA (ctDNA) has demonstrated potential clinical utility to support clinical decisions, but requires prior tumor genetic profiling for proper interpretation, and wide adoption remains limited due to high costs. Methods Tumor-agnostic low-coverage ctDNA whole genome sequencing (lcWGS) was used to longitudinally track genome-wide copy number variations (CNVs) and fragmentation features in advanced NSCLC patients (n = 118 samples from 49 patients) and healthy controls (n = 57). …”
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A novel on-chip IM2 calibration method via LO pulse-width modulation for enhanced RF front-end linearity by Hussam AlShammary, Ali Muqaibel

“…The calibration technique exhibits robust performance across temperature variations and can be seamlessly integrated into standard LO driver architectures. …”
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A novel numerical simulation study on the flow mechanisms of deep low-permeability gas reservoirs by Ruidong Wu, Chunguang Zhang, Rui Wang, Qinghao Sun, Gangxiang Song, Meixue Shi

“…Conventional numerical simulation methods fails to characterize the impact of these complex flow mechanisms on the production. …”
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Instability and uncertainty of carbon storage in karst regions under land use change: a case study in Guiyang, China by Heng Zhou, Heng Zhou, Mingdong Tang, Jun Huang, Jinting Zhang, Jingnan Huang, Jingnan Huang, Haijuan Zhao, Haijuan Zhao, Yize Yu

“…Understanding these instabilities and uncertainties is crucial for formulating carbon sequestration and land management strategies.MethodsThis study employed Patch-generating Land Use Simulation (PLUS) and Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) to estimate carbon storage, and introduced the Coefficient of Variation (CV) to assess the instability and uncertainty. …”
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