Probabilistic Assessment of Damage from Same Shock Response Spectra due to Variations in Damping by Arup Maji

“…Interpretation of field data from shock tests and subsequent assessment of product safety margins via laboratory testing are based on the shock response spectra (SRS). …”
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Bovine Tuberculosis in Cattle in the Highlands of Cameroon: Seroprevalence Estimates and Rates of Tuberculin Skin Test Reactors at Modified Cut-Offs by J. Awah-Ndukum, A. C. Kudi, G. S. Bah, G. Bradley, S. F. Tebug, P. L. Dickmu, H. N. Njakoi, W. N. Agharih

“…The study suggested that using lateral flow assay and TST at severe interpretations could improve the perception of bovine TB in Cameroon. …”
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Psychiatric Assessment in Patients with Mild Temporal Lobe Epilepsy by Antonella Bruni, Iolanda Martino, Maria Eugenia Caligiuri, Maria Grazia Vaccaro, Michele Trimboli, Cristina Segura Garcia, Pasquale De Fazio, Antonio Gambardella, Angelo Labate

“…The findings of previous studies focused on personality disorders in epileptic patients are difficult to interpret due to nonhomogeneous samples and noncomparable methods. …”
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Quantifying intratumoral biomarker heterogeneity in tubo-ovarian high-grade serous carcinoma to optimize clinical translation by Aline Talhouk, Derek S. Chiu, Liliane Meunier, Kurosh Rahimi, Cécile Le Page, Monique Bernard, Diane Provencher, David G. Huntsman, Anne Marie Mes Masson, Martin Köbel

“…Markers were stained on tissue microarrays and scored using a continuous or categorical interpretation of staining patterns. Two-way random effect and nested intraclass correlation were used to assess continuous markers, and Gwet’s AC1 was used for categorical markers. …”
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Lung Diseases Diagnosis-Based Deep Learning Methods: A Review by Shahad A. Salih, Sadik Kamel Gharghan, Jinan F. Mahdi, Inas Jawad Kadhim

“…Moreover, the challenges and limitations of using DL for lung disease diagnosis, including the limited availability of annotated data, the variability in imaging techniques and disease presentation, and the interpretability and generalizability of DL models, are highlighted in this paper. …”
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A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance by Wei-Wen Chen, Ling Kuo, Yi-Xun Lin, Wen-Chung Yu, Chien-Chao Tseng, Yenn-Jiang Lin, Ching-Chun Huang, Shih-Lin Chang, Jacky Chung-Hao Wu, Chun-Ku Chen, Ching-Yao Weng, Siwa Chan, Wei-Wen Lin, Yu-Cheng Hsieh, Ming-Chih Lin, Yun-Ching Fu, Tsung Chen, Shih-Ann Chen, Henry Horng-Shing Lu

“…This variability in the interpretation and classification of LVH leads to inconsistent diagnoses. …”
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Role of radiologists in the diagnosis and management of adrenal disorders by Sota Oguro, Hiromitsu Tannai, Hideki Ota, Kazumasa Seiji, Hiroki Kamada, Yoshitaka Toyama, Kei Omata, Yuta Tezuka, Yoshikiyo Ono, Fumitoshi Satoh, Sadayoshi Ito, Tetsuhiro Tanaka, Hideki Katagiri, Kei Takase

“…The methodology for performing SAVS, along with the interpretation criteria for successful sampling and lateralization, is also outlined. …”
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A Comprehensive Resource for Exploring Antiphage Defense: DefenseFinder Webservice,Wiki and Databases by Tesson, Florian, Planel, Rémi, Egorov, Artyom A, Georjon, Héloïse, Vaysset, Hugo, Brancotte, Bryan, Néron, Bertrand, Mordret, Ernest, Atkinson, Gemma Catherine, Bernheim, Aude, Cury, Jean

“…The increasing number of known systems makes it a challenge to enter the field and makes the interpretation of detections of antiphage systems difficult. …”
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Effect of microstructure and neutron irradiation defects on deuterium retention in SiC by Alex Leide, Weicheng Zhong, Isabel Fernandez-Victorio, Isabel Fernandez-Victorio, Duc Nguyen-Manh, Duc Nguyen-Manh, Takaaki Koyanagi

“…First principles calculations have been conducted to identify energetically favourable trapping sites in SiC at the HABcVSi and HTSiVC complexes, and migration barriers between interstitial sites. This helps interpret experimental results and derive effective diffusivity of hydrogen isotopes in SiC in the presence of vacancies.…”
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Einasto Profile as the Halo Model Solution Coupled to the Depletion Radius by Yifeng Zhou, Jiaxin Han

“…Coupling the Einasto profile with the depletion catalog, the resulting halo model can simultaneously predict the halo–matter power spectra to 10% and the matter–matter power spectrum to 5%, improving over conventional models in both interpretability and versatility. The conditions and limitations of using the Navarro–Frenk–White profile in the halo model are also discussed.…”
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White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient by Zhengjie Li, Jiajun Liu, Jianhui Zheng, Luying Li, Ying Fu, Zhipeng Yang

“…Background: The spontaneous fluctuations in functional magnetic resonance imaging (fMRI) signals of the brain’s gray matter (GM) have been interpreted as representations of neural activity variations. …”
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Cosmic Reionization on Computers: The Evolution of the Ionizing Background and Mean Free Path by Jiawen Fan, Huanqing Chen, Camille Avestruz, Affan Khadir

“…Our findings highlight the importance of high-fidelity models in the interpretation of observational measurements.…”
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Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer by Zhichao Wang, Yan Hu, Jun Cai, Jinyuan Xie, Chao Li, Xiandong Wu, Jingjing Li, Haifeng Luo, Chuchu He

“…Model performance and interpretability were evaluated using standard classification metrics, Gradient-weighted Class Activation Mapping (Grad-CAM), and SHapley Additive exPlanations (SHAP) techniques. …”
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Counterfactual Based Approaches for Feature Attributions of Stress Factors Affecting Rice Yield by Nisha P. Shetty, Balachandra Muniyal, Ketavarapu Sriyans, Kunyalik Garg, Shiv Pratap, Aman Priyanshu, Dhruthi Kumar

“…By improving the interpretability of agricultural machine learning models, the research ultimately supports the creation of predictive systems that strengthen sustainable practices and economic development within the agricultural industry.…”
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Br-Li and stable isotopes to induce groundwater salinity in crystalline and detrital aquifers: Oriental Haouz Morocco by Mohmmed Elgettafi, Samia Rochdane, Abdenabi Elmandour, Juan M. Lorenzo, Mahjoub Himi, Albert Casas

“…Study region: Paleozoic, Triassic and Quaternary lateral aquifers have been the subject of detailed geochemistry study, in Oriental Haouz, Morocco. Study method: Interpretations are based on the combination of major elements, Br, Li, and stable isotopes. …”
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Image Quality Assessment Based on Multi-Scale Representation and Shifting Transformer by Geng Fu, Ziyu Wang, Cuijuan Zhang, Zerong Qi, Mingzheng Hu, Shujun Fu, Yunfeng Zhang

“…The quality of these images is paramount as it directly affects the system’s ability to accurately interpret and respond to the visual information. Image Quality Assessment (IQA) is a crucial metric for intelligent control systems and computer vision tasks, such as surveillance, restoration, and fingerprint identification, significantly advancing algorithm development in these areas. …”
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Environmental impact assessment of rapeseed production using the LCA method: Part one: Life cycle inventory analysis by Kiš Ferenc, Vasin Jovica, Milovac Željko, Zeremski Tijana, Milić Stanko, Savić Jasna

“…This phase provides further explanations and interpretations of the significance of inventory results from an environmental protection perspective.…”
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Life Thinning and Gaming Disorder: A Longitudinal Qualitative Registered Report by Karhulahti, Veli-Matti, Siutila, Miia, Vahlo, Jukka, Koskimaa, Raine

“…Accompanied by a rich health survey, interpretative phenomenological analysis was adapted to understand in-depth interview data from treatment-seeking (n=5) and esports-playing (n=4) participants, the latter of which did not experience any gaming-related health problems. …”
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Structural bioinformatics for rational drug design by Soroush Mozaffari, Agnethe Moen, Che Yee Ng, Gerry A.F. Nicolaes, Kanin Wichapong

“…Despite these advancements, challenges remain in terms of accuracy, interpretability, and the needed computational power. This review explores the state of the art in computational drug discovery, examining the latest methods and technologies, their transformative impact on the drug development pipeline, and the future directions needed to overcome remaining limitations. …”
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Potentially commercializable nerve guidance conduits for peripheral nerve injury: Past, present, and future by Chundi Liu, Mouyuan Sun, Lining Lin, Yaxian Luo, Lianjie Peng, Jingyu Zhang, Tao Qiu, Zhichao Liu, Jun Yin, Mengfei Yu

“…This review aims to interpret nerve guidance conduits and their commercialization from both clinical and laboratory perspectives. …”
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