Response Features Determining Spike Times by Barry J. Richmond, Mike W. Oram, Matthew C. Wiener

“…Interpreting messages encoded in single neuronal responses requires knowing which features of the responses carry information. …”
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Revealing the Impact of Depth and Surface Property Variations on Infrared Detection of Delamination in Concrete Structures Under Natural Environmental Conditions by Chongsheng Cheng, Dequan Chen, Shuai Shao, Ri Na, Haonan Cai, Hongwen Zhou, Bo Wu

“…However, erroneous data interpretation often diminishes its practical utility due to surface irregularities (e.g., color variations) during inspection. …”
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Use of the consort-ai protocol in reporting artificial intelligence applications in clinical trials by Mustafa Agah Tekindal, Melike Tekindal, Mert Demirsöz, Zeynep Özel

“…Reporting the research results in accordance with international standards will make meaningful contributions to the process of understanding, interpreting and critically evaluating the research in question. …”
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Geochronology of the felsic rocks in Orijärvi, southern Finland – implications for stratigraphy by Elisa Toivanen, Teemu Vehkamäki, Markku Väisänen, Jaakko Kara, Hugh O’Brien

“…Picritic interlayers occur within all these successions and are here interpreted as belonging to the same Toija formation. …”
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PHARAOH: A collaborative crowdsourcing platform for phenotyping and regional analysis of histology by Kevin Faust, Min Li Chen, Parsa Babaei Zadeh, Dimitrios G. Oreopoulos, Alberto J. Leon, Ameesha Paliwal, Evelyn Rose Kamski-Hennekam, Marly Mikhail, Xianpi Duan, Xianzhao Duan, Mugeng Liu, Narges Ahangari, Raul Cotau, Vincent Francis Castillo, Nikfar Nikzad, Richard J. Sugden, Patrick Murphy, Safiyh S. Aljohani, Philippe Echelard, Susan J. Done, Kiran Jakate, Zaid Saeed Kamil, Yazeed Alwelaie, Mohammed J. Alyousef, Noor Said Alsafwani, Assem Saleh Alrumeh, Rola M. Saleeb, Maxime Richer, Lidiane Vieira Marins, George M. Yousef, Phedias Diamandis

“…Moreover, by using our PHARAOH pipeline, we showcase how correlation of cohort-level cytoarchitectural features with accompanying biological and outcome data can help systematically devise interpretable morphometric models of disease. Both the custom model design and feature extraction pipelines are amenable to crowdsourcing, positioning PHARAOH to become a fully scalable, systems-level solution for the expansion, generalization and cataloging of computational pathology applications.…”
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Search for Anti-EA(D) Antibodies in Subjects with an “Isolated VCA IgG” Pattern by Massimo De Paschale, Debora Cagnin, Teresa Cerulli, Maria Teresa Manco, Carlo Agrappi, Paola Mirri, Arianna Gatti, Cristina Rescaldani, Pierangelo Clerici

“…The presence of an “isolated viral capsid antigen (VCA) IgG” pattern in serum is not easy to interpret without the aid of further tests, such as specific immunoblotting or a virus genome search, that often give rise to organisational and economic problems. …”
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Discovering emergent connections in quantum physics research via dynamic word embeddings by Felix Frohnert, Xuemei Gu, Mario Krenn, Evert van Nieuwenburg

“…To validate the effectiveness of our approach, we provide a comprehensive benchmark against existing methods and offer insights into the interpretability of these embeddings, particularly in the context of quantum physics research. …”
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A Simple Visualization Method for Three-Dimensional (3D) Network by Sangkwon Kim, Chaeyoung Lee, Jintae Park, Sungha Yoon, Yongho Choi, Junseok Kim

“…It is used to describe and interpret datasets in various fields such as social network, biological network, and metabolic regulation network. …”
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ChatGPT vs. Orthopedic Residents! Who is the Winner? by Semih Yaş, Asim Ahmadov, Alim Can Baymurat, Mehmet Ali Tokgöz, Secdegül Coşkun Yaş, Mustafa Odluyurt, Tolga Tolunay

“…Conclusion: While ChatGPT can accurately answer some theoretical questions, its effectiveness is limited in interpretive scenarios and in situations with multiple variables, although its accuracy may improve with updates over time.…”
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Impact of time-varying exposure on estimated effects in observational studies using routinely collected data: protocol for a cross-sectional study by Ling Li, Xin Sun, Jing Tan, Mei Liu, Wen Wang, Kevin Lu, Guowei Li, Jiayue Xu, Jeff Jianfei Guo

“…We will collect information regarding general study characteristics, data source profile, methods for handling time-varying exposure, results and the interpretation of findings from each eligibility. Paired reviewers will screen and extract data, resolving disagreements through discussion. …”
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Phenotypic variability and the gender paradox in the R363C variant of Fabry disease by Alison C. Leslie, Jeanine Jarnes, Alia Ahmed, Sofia Shrestha, Jeffrey Wang, Chester B. Whitley, Nishitha R. Pillai

“…The discordance between clinical severity and Lyso‐GL‐3 levels, particularly in the context of migalastat therapy, raises questions about the appropriate interpretation and use of this biomarker. The earlier and more severe symptom onset in the female proband suggests the potential role of genetic modifiers or other factors influencing disease expression. …”
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Health Academy Program: importance for users and funding difficulties by Ana Mônica Serakides Ivo, Vinicius Coimbra Viana, Maria Imaculada de Fátima Freitas

“…This is a qualitative approach study, supported by the theory of social representations. 33 in-depth interviews were performed on users from the Belo Horizonte PAS, interpreted by the Structural Narration Analysis. It was revealed that there are profound representations on PA as remedy for physical and psychosocial diseases and others, such as a contribution for the improvement of quality of life. …”
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Internet of things-driven approach integrated with explainable machine learning models for ship fuel consumption prediction by Van Nhanh Nguyen, Nghia Chung, G.N. Balaji, Krzysztof Rudzki, Anh Tuan Hoang

“…Resultantly, XGBoost emerged as the best model for predicting SFC with the highest R² (Train: 0.997, Test: 0.95), lowest MSE (Train: 1.052, Test: 16.791), and minimal MAPE (Train: 0.08 %, Test: 0.23 %). Moreover, the interpretability analysis identified ''Main engine shaft power'' as the most significant predictor with a mean SHAP value of around 3.5. …”
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Experiencing Breast Cancer Confronts Death but Reconciles with Life: A Qualitative Study Using Grounded Theory Methodology by Ríos-Córdoba, Diana Carolina, Figueroa-Cuesta, Juan David, Alzate-Vanegas, Sandra Isabel, Contreras-Pérez, Daniel Fernando, Yepes-Delgado, Carlos Enrique

“…Materials and Methods: A hermeneutic study with a constructivist/interpretive paradigmatic approach, based on Grounded Theory. …”
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Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit by Mohammed G. Albayati, Jalal Faraj, Amy Thompson, Prathamesh Patil, Ravi Gorthala, Sanguthevar Rajasekaran

“…However, many of these tools require an in-depth knowledge of system behavior and thermodynamic principles to interpret the results. In this paper, supervised and semi-supervised machine learning (ML) approaches are applied to datasets collected from an operating system in the field to develop new FDD methods and to help building owners see the value proposition of performing proactive maintenance. …”
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Environmental adaptability of spring durum wheat (<I>Triticum durum</I> Desf.) cultivars developed in Saratov by S. N. Gaponov, G. I. Shutareva, N. M. Tsetva, I. S. Tsetva, I. V. Milovanov, N. A. Burmistrov, E. S. Zhiganova, N. S. Solovova

“…Eberhart and B. A. Russell, as interpreted by V. A. Zykin. Grain quality indicators were measured on the devices: Infratec 1241 for protein, Glutomatic for the index of gluten (IG), and Spekol 10 for the yellowness index (b%).Results. …”
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Peculiarities of Charge Transfer in SiO2(Ni)/Si Nanosystems by Egor Yu. Kaniukov, Dzmitry V. Yakimchuk, Victoria D. Bundyukova, Alena E. Shumskaya, Abdulkarim A. Amirov, Sergey E. Demyanov

“…On the basis of these results an interpretation of the charge transfer mechanisms in SiO2(Ni)/Si nanosystems at different temperature ranges was proposed. …”
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Polarization Scattering Regions: A Useful Tool for Polarization Characteristic Description by Jiankai Huang, Jiapeng Yin, Zhiming Xu, Yongzhen Li

“…The results show that polarization scattering regions are practical tools for interpreting polarimetric radar data across diverse frequency bands. …”
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Dampak Penyalahgunaan Deepfake dalam Memanipulasi Visual: Menguak Potensi Infopocalypse di Era Post Truth Terhadap Asumsi Masyarakat pada Media Massa by Azizatuz Zahro', Rafika Rizky Nur Fadhilah, Salsabila Zahra Hermawati, Guntur Naufal Imaduddin, Aisya Alyani Santoso

“…Analisis konten digunakan untuk menganalisis deepfake dari konten video dan interpretative phenomenological analysis untuk menganalisis keterkaitan asumsi informan dan potensi terjadinya infopocalypse. …”
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Long read Nanopore sequencing identifies precise breakpoints of a de novo paracentric inversion that disrupt the MEIS2 gene in a Chinese girl with syndromic developmental delay by Jianxin Tan, Mingtao Huang, Xiuqing Ji, An Liu, Fengchang Qiao, Cuiping Zhang, Lulu Meng, Yan Wang, Zhengfeng Xu, Ping Hu

“…Abstract Background Chromosomal inversions are underappreciated causes of rare diseases given their detection, resolution, and clinical interpretation remain challenging. Heterozygous mutations in the MEIS2 gene cause an autosomal dominant syndrome characterized by intellectual disability, cleft palate, congenital heart defect, and facial dysmorphism at variable severity and penetrance. …”
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