“They Say the Water Is Perfectly Safe but…”: A Mixed‐Methods Participatory Study of Factors Influencing Trust in Tap Water Safety in a Great Lakes City by Colleen M. O’Brien, Vidya Venkataramanan, Clare Tallon Ruen, Erin McCotter, Anika Mittu, Revika Singh, Liliana Hernandez Gonzalez, Aaron I. Packman, William M. Miller, Sera L. Young

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Mechanism–Data Collaboration for Characterizing Sea Clutter Properties and Training Sample Selection by Wenhao Chen, Yong Zou, Zhengzhou Li, Shengrong Zhong, Haolin Gan, Aoran Li

“…The experiments based on field data are included to evaluate the effectiveness of the proposed method including sea clutter characterization accuracy and training sample selection across various scenarios. …”
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Diagnostic biomarkers and immune infiltration profiles common to COVID-19, acute myocardial infarction and acute ischaemic stroke using bioinformatics methods and machine learning by Ya-Nan Ma, Si-Rong Ma, Li Yang, Juan Wu, Ya-Rong Wang, Li-Jia Bao, Li Ma, Qing-Qiu Wu, Zhen-Hai Wang

“…Finally, we employed a dual validation strategy integrating independent GEO datasets and in vitro experiments with human blood samples to comprehensively assess the reliability of our experimental findings. …”
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CL-ECPE: contrastive learning with adversarial samples for emotion-cause pair extraction by Shunxiang Zhang, Houyue Wu, Xin Xu, Guangli Zhu, Meng-Yen Hsieh

“…First, contrastive sets are constructed by adversarial samples. The contrastive sets are used as the raw data of adversarial training and the test data of the pilot experiment. …”
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Robust Single Sample Per Person Face Recognition with Probabilistic Illumination Enhancement by Muhammad Tariq Siddique, Ibrahim Venkat, Shah Hasan Shah Newaz, Sharul Tajuddin

“…The performance of the proposed method is evaluated and exhibits superiority in handling illumination compared to state-of-the-art counterparts. …”
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Control of Road Settlement around Stone-Arch Bridges by Material Modification and Embankment by Sajad Tavakoli, Mohammad Hosein Aminfar, Saeed Toulabi

“…In this regard, by finite element method, a sample of bridges buried in deep valleys has been modeled in which the settlement was calculated. …”
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Optimising neonatal services for very preterm births between 27+0 and 31+6 weeks gestation in England: the OPTI-PREM mixed-methods study by Thillagavathie Pillay, Oliver Rivero-Arias, Natalie Armstrong, Sarah E Seaton, Miaoqing Yang, Victor L Banda, Kelvin Dawson, Abdul QT Ismail, Vasiliki Bountziouka, Caroline Cupit, Alexis Paton, Bradley N Manktelow, Elizabeth S Draper, Neena Modi, Helen E Campbell, Elaine M Boyle

“…Aim To investigate, for preterm babies born between 27+0 and 31+6 weeks gestation in England, optimal place of birth and early care. Design Mixed methods. Setting National Health Service neonatal care, England. …”
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Sample Distribution Approximation for the Ship Fleet Deployment Problem Under Random Demand by Qi Hong, Xuecheng Tian, Haoran Li, Zhiyuan Liu, Shuaian Wang

“…Through comprehensive computational experiments, using decision cost as the primary evaluation metric, our results demonstrate that SDA achieves superior performance compared to the conventional SAA method. …”
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Periorbital necrotizing fasciitis: the Manchester experience by Abigail Hopkins, Jonathan K. Y. Ng, Jae Yee Ku, Adam Bull, Qistina Pilson, Anne Cook

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Multi-Aspect Interpolation Method for SAR Complex Images of Typical Aircraft Target Using Multi-Aspect Scattering Information Complex Generative Adversarial Network by Shixin Wei, Bing Han, Jiayuan Shen, Jiaxin Wan, Yugang Feng, Qianyue Xue

“…Moreover, as a complex network, MS-CGAN does not require phase removal or amplitude quantization of the input SAR images; thus, the significant issue of the severe loss of scattering information in multi-aspect interpolation methods based on GANs is greatly addressed. In the experiments, assuming the absence of real SAR images from certain aspects, both the correlation coefficient and the phase correlation between interpolated SAR images from MS-CGAN and real SAR images achieve good results. …”
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Serial coherent diffraction imaging of dynamic samples based on inter-frame continuity by Pengju Sheng, Fucai Zhang

“…With the same simple setup as conventional CDI, high image quality, and the ability to separate the sample transmission from its illumination probe, our method has the potential to significantly advance X-ray imaging and electron microscopy techniques for dynamic sample analysis.…”
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Logitwise Distillation Network: Improving Knowledge Distillation via Introducing Sample Confidence by Teng Shen, Zhenchao Cui, Jing Qi

“…These components are unified into a feature direction (FD) loss, which guides students to selectively emulate trustworthy teacher features. Experiments on CIFAR-100 and ImageNet demonstrate that LDN achieves state-of-the-art performance, improving accuracy by 0.3–0.5% over SOTA methods. …”
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ON LIMITING THE VOLUME FRACTION OF PARTICLES IN THE DISPERSE SAMPLE (FOR THE TASkS ON CONTROLLING THEIR MAGNETIC PROPERTIES) by A. A. Sandulyak, M. N. Polismakova, D. O. Kiselev, D. A. Sandulyak, A. V. Sandulyak

“…Direct experiments based on the ponderomotive Faraday method are realized with the use of a powder sample within the range of volume fraction γ ≤ 0.3 (for disperse phase - magnetite). …”
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ASSESSMENT RESULTS OF COLLECTION SAMPLES OF WINTER WHEAT ON TOLERANCE TO SMUT (TILLETIA LEVIS) by N. V. Shishkin, T. G. Derova, D. M. Marchenko

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An enhanced framework for knowledge graph embedding based on negative sample analogical reasoning by Huimin Li, Yuhu Tao, Dan Chen, Yi Tang, Jianxiao Wang, Lulu Xue

“…Additionally, to enhance the model’s ability to represent complex relationships and overcome the limitations of relying on a single KGE model, the Ne_AnKGE framework integrates the outputs of TransE and RotatE, both of which have been enhanced through negative sample analogical reasoning. Extensive experiments on the FB15K-237 and WN18RR datasets demonstrate the competitive performance of Ne_AnKGE.…”
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Complex emotion processing and early life adversity in the Healthy Brain Network sample by Emily J. Furtado, M. Catalina Camacho, Jenna H. Chin, Deanna M. Barch

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Influence of Geometric Non-Linearities on the Mixed-Mode Decomposition in Asymmetric DCB Samples by Jorge Bonhomme, Victoria Mollón, Jaime Viña, Antonio Argüelles

“…During this test, the sample undergoes rotation. In this work, the influence of this rotation on the calculation of the energy release rate (ERR) in modes I and II was studied using the Finite Element Method (FEM). …”
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An Electrospinning Sample Delivery Device for Synchrotron-Based Biomacromolecule Serial Crystallography Research by Li Yu, Zhijun Wang, Qin Xu, Bo Sun, Qingjie Xiao, Weiwei Wang, Yuzhu Wang, Qisheng Wang, Jianhua He

“…Currently, several challenges hinder the progress of this technology, including the preparation of numerous microcrystal samples, methods for sample delivery, data acquisition efficiency, and data processing techniques. …”
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International Migration and Its Consequences Affecting Population Management in Isfahan Province: A Grounded Theory Study by Mohammad Hosain Ghanbari Jahromi, Javad Esteki, Hamid Nazari

“…Data were collected through semi-structured individual interviews, employing purposeful sampling. This method allowed for in-depth exploration of participants' experiences and perspectives regarding migration to Isfahan. …”
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The Sensitive Genes for Cervical Cancer: Two-Sample Mendelian Randomization with Experimental Validation by Zhang R, Chai S, Chen Q, Lai J, Cai C

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