Towards Transparent Deep Learning in Medicine: Feature Contribution and Attention Mechanism-Based Explainability by Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Niall Higgins, Juan D. Velásquez

“…In non-invasive monitoring, sensor data and clinical attributes serve as input features for predicting patient health outcomes. …”
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KAJIAN AGRIBISNIS USAHA GULA AREN DI KABUPATEN REJANG LEBONG by Yulius Budiman, Ketut Sukiyono, Bambang Sumantri

“…The research result shows that the inputs used the palm sugar productionare from buying, their owned, and rented. …”
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Optimal information gain at the onset of habituation to repeated stimuli by Giorgio Nicoletti, Matteo Bruzzone, Samir Suweis, Marco dal Maschio, Daniel Maria Busiello

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Galactic Magnetic Fields. II. Applying the Model to Nearby Galaxies by Rion Glenn Nazareth, Gayathri Santhosh, Luke Chamandy

“…(Paper I ), we developed a simple, axisymmetric galactic dynamo model that uses various observational data as input. Here, we apply our model to calculate radial profiles of azimuthally and vertically averaged magnetic field strength and pitch angle, gas velocity dispersion and scale height, turbulent correlation time and length, and the sizes of supernova remnants for the galaxies M31, M33, M51, and NGC 6946, using input data collected from the literature. …”
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scQTLtools: An R/Bioconductor Package for Comprehensive Identification and Visualization of Single-Cell eQTLs by Xiaofeng Wu, Xin Huang, Pinjing Chen, Jingtong Kang, Jin Yang, Zhanpeng Huang, Siwen Xu

“…However, existing tools are often limited in functionality, input compatibility, or scalability for sparse single-cell data. …”
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Assessment of the quality of care provided to women with gestational diabetes mellitus by different hospitals in Karachi, Pakistan by Romaina Iqbal, Narjis Rizvi, Sabahat Naz, Javeria Mansoor, Shafaq Alvi

“…We interviewed department heads (n=6) to assess the workforce and facilities (input) and nurses (n=17) and doctors (n=8) to examine qualifications for GDM management protocols (process). …”
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Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction by Jamal Abdulrazzaq Khalaf, Abeer A. Majeed, Mohammed Suleman Aldlemy, Zainab Hasan Ali, Ahmed W. Al Zand, S. Adarsh, Aissa Bouaissi, Mohammed Majeed Hameed, Zaher Mundher Yaseen

“…In accordance with quantitative analysis, it can be observed that the GA-DLNN models required only 7 input parameters and yielded the best prediction accuracy with highest correlation coefficient (R = 0.96) and lowest value root mean square error (RMSE = 0.03936 KN). …”
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Strength-ductility enhancement in high-Mn TWIP steel welded joints via optimized gas tungsten arc welding by Xingfu Wang, Nanle Yang, Juhua Liang, Jianguo Ma, Runxia Li, Biao Wang

“…By finely tuning the heat input parameters, a crack-free TWIP steel plate joint was successfully fabricated, with minimal detrimental precipitates present. …”
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Corrosion Predictive Model in Hot-Dip Galvanized Steel Buried in Soil by Lorena-De Arriba-Rodríguez, Francisco Ortega-Fernández, Joaquín M. Villanueva-Balsera, Vicente Rodríguez-Montequín

“…Qualitative methods are commonly used rather than quantitative methods. The objective of this research is the development of a multivariate quantitative predictive model for estimating the loss of thickness that will occur in buried hot-dip galvanized steel as a function of time. …”
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Graph-Based Radiomics Feature Extraction From 2D Retina Images by Ofelio Jorreia, Nuno Goncalves, Rui Cortesao

“…Medical image analysis offers valuable visual support for clinical decision-making, yet the incorporation of quantitative data is essential for deeper diagnostic insight. …”
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Development of a rational composition of a polyenzyme composition in the technology of bioscouring of cotton fabrics by Ksenia A. Lenko, Natallia N. Yasinskaya, Natallia V. Skobova

“…The concentrations of enzyme preparations with cellulase and pectinase activity were selected as input factors. Capillarity, hygroscopicity and tissue tensile strength were selected as output parameters. …”
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Initiating and integrating user-centred design in upgrading the e-learning layout: a case study on FlexLearn (Brightspace) 2.0 template by Nurdayana Mohamad Noor

“…Finally, integrating user input improves the LMS, delivering a more fun and successful learning experience for everyone. …”
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Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling by Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, Travis J. Esau, Alaba Boluwade, Rehan Sadiq

“…Uncertainty analysis showed that CO2 prediction is more sensitive to input scenario selection than models in both study areas. …”
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Analyzing the Coordination Relationship between Urban Built Environment and Traffic Level by Tian Li, Haobin Jiang, Peng Jing, Mengmeng Zhang

“…With regard to the built environment input index, the distance from the city center has the greatest influence on the coordination relationship. …”
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POTENTIAL LEADING SECTOR TO DRIVE ECONOMIC GROWTH IN WEST NUSA TENGGARA PROVINCE by Iwan Harsono, Muhammad Dzul Fadlli, Muhamad Bai'ul Hak, Ali Akbar Hidayat

“…This research uses the descriptive quantitative method by utilizing interregional input and output data. …”
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Implementation Of Mamdani Fuzzy Logic In The Assessment System Of Merdeka Belajar Kampus Merdeka (MBKM) Activities: Case Study Of Mathematics Study Program At Bangka Belitung Unive... by Baiq Desy Aniska, Randa Trezenki, Afina Shabirah, Novia, Lianawati

“…The method used is a descriptive quantitative approach with data processing using MATLAB software. …”
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Assessing the practicality of using freely available AI-based GPT tools for coach learning and athlete development by Katherine A. O'Brien, Sarah Prentice

“…The results illustrated that both ChatGPT v4 and DeepSeek v3 models could extract quantitative and qualitative conversational information from the source material using simple R2-PIASS prompt specifiers. …”
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“[T]he most precise and thorough understanding of the situation we are struggling to change”: re-capturing emancipatory disability research by Luke Beesley

“…This article seeks to contribute to a refoundation of the analytic, qualitative and quantitative methods associated with Emancipatory Disability Research (EDR)—an episto-political approach to disability research which places lay disabled people in positions of authority over research design, operation, and analysis of projects undertaken by professional academics. …”
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The Neurospora photoreceptor VIVID exerts negative and positive control on light sensing to achieve adaptation by Elan Gin, Axel C R Diernfellner, Michael Brunner, Thomas Höfer

“…Our data indicate that this paradoxical function is realized by a futile cycle that involves the light‐induced sequestration of active WCC by VVD and the replenishment of the activatable WCC pool through the decay of the photoactivated state. Our quantitative study uncovers a novel network motif for achieving sensory adaptation and defines a core input module of the circadian clock in Neurospora.…”
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Image preference estimation with a data-driven approach: A comparative study between gaze and image features by Yusuke Sugano, Yasunori Ozaki, Hiroshi Kasai, Keisuke Ogaki, Yoichi Sato

“…A dataset of eye movements is collected while the participants are viewing pairs of natural images, and it is used to train image preference label classifiers. The input feature is defined as a combination of various fixation and saccade event statistics, and the use of the random forest algorithm allows us to quantitatively assess how each of the statistics contributes to the classification task. …”
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