Learning-Based Image Restorations of Sparse-View CT Data: Is It Reliable? by Philip Maurice Trapp, Elias Eulig, Joscha Maier, Frederic Ballach, Raoul Christoph, Ralf Christoph, Marc Kachelrieß

“…This work shows by means of restorations of sparse-view CT data that such methods must be evaluated thoroughly and in a task-specific manner, as details of the workpiece may not be exactly reconstructed. In addition, this work examines the influence of these methods on metrological specification measurements of CTs and the conclusions that can be drawn with regard to the objective specification of such algorithms.  …”
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Rapid Automated Mapping of Clouds on Titan With Instance Segmentation by Zachary Yahn, Douglas M. Trent, Ethan Duncan, Benoît Seignovert, John Santerre, Conor A. Nixon

“…We compare the efficiencies of human‐driven versus algorithmic approaches, showing that transfer learning provides speed‐ups that may open new horizons for data investigation for Titan. …”
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The future of AI in government services and global risks: insights from design fictions by Pedro Vitor Marques Nascimento, Paloma Beatriz Belchior de Siqueira, Nathalia Chrispim, Ramon Miranda Chaves, Carlos Eduardo Barbosa, Jano Moreira de Souza

“…These scenarios provide insights into the governance challenges AI may introduce, emphasizing the need for ethical guidelines, policy frameworks, and stakeholder engagement. …”
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ProgModule: A novel computational framework to identify mutation driver modules for predicting cancer prognosis and immunotherapy response by Xiangmei Li, Bingyue Pan, Xilong Zhao, Yinchun Su, Jiyin Lai, Siyuan Li, Yalan He, Jiashuo Wu, Junwei Han

“…Abstract Background Cancer originates from dysregulated cell proliferation driven by driver gene mutations. Despite numerous algorithms developed to identify genomic mutational signatures, they often suffer from high computational complexity and limited clinical applicability. …”
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Estimation of water storage changes in a tropical lake-floodplain system through remote sensing by Thijs de Klein, Victor Bense, Syed Mustafa

“…Results suggest that climate change effects and anthropogenic activities may have little short-term impact on the lake’s dry season volume, while altering groundwater recharge may have more significant long-term effects.…”
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Texas rural land market integration: A causal analysis using machine learning applications by Tian Su, Senarath Dharmasena, David Leatham, Charles Gilliland

“…Moreover, lenders may also benefit from the information to manage collateral and thus maintain the stability of their operation.…”
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Differences in parameter estimates derived from various methods for the ORYZA (v3) Model by Jun-wei TAN, Qing-yun DUAN, Wei GONG, Zhen-hua DI

“…Therefore, it is of great importance to evaluate the factors which may influence parameter estimates and to make a comparison of the current widely-used methods. …”
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Effect of the time factor on the hydraulic activity of mechanically activated saponin-containing powder by Marina V. Morozova, Maria A. Frolova

“…The purpose of the work is to assess the effect of the time factor on the hydraulic activity of the mechanically activated saponite containing powder, since the activity of the additive may change during long-term storage. It is known that the degree of activity of mineral components is usually estimated by the amount of Ca2+ ions absorbed from a saturated lime solution. …”
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Analysis the Variability of Agroclimatic Feasibility of Aloe Vera Cultivation in Hormozgan Province under four CO2 Representative Concentration Pathways by Shahrbanoo Qanbari Adivi, Amir Gandomkar, Morteza Khodagholi

“…Future climate change will likely affect crop production negatively in low latitude countries, while effects on northern latitudes may be positive or negative. Climate change will probably increase the risk of food insecurity for some vulnerable groups, such as the poor. …”
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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…This approach incorporates advanced image processing techniques to analyze video sequences captured by the industrial camera. Sophisticated algorithms enable the system to identify the frame with optimal clarity and sharpness. …”
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Can Synthetic Data Allow for Smaller Sample Sizes in Chronic Urticaria Research? by Annika Gutsche, Pascale Salameh, Samad S. Jahandideh, Mehran Roodsaz, Serkan Kutan, Ali Salehzadeh‐Yazdi, Emek Kocatürk, Stamatios Gregoriou, Simon F. Thomsen, Kanokvalai Kulthanan, Papapit Tuchinda, Joachim Dissemond, Alicja Kasperska‐Zajac, Magdalena Zajac, Mateusz Zamłyński, Martijn vanDoorn, Claudio A. S. Parisi, Jonny G. Peter, Cascia Day, Cathryn McDougall, Michael Makris, Daria Fomina, Elena Kovalkova, Nikolai Streliaev, Gerelma Andrenova, Marina Lebedkina, Maryam Khoskhkui, Mehraneh M. Aliabadi, Andrea Bauer, Lea Kiefer, Melba Muñoz, Karsten Weller, Pavel Kolkhir, Martin Metz

“…Similarly, real‐world observational studies may lack sufficient sample sizes for robust analysis. …”
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A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer by Sushant Patkar, Stephanie Harmon, Isabell Sesterhenn, Rosina Lis, Maria Merino, Denise Young, G. Thomas Brown, Kimberly M. Greenfield, John D. McGeeney, Sally Elsamanoudi, Shyh-Han Tan, Cara Schafer, Jiji Jiang, Gyorgy Petrovics, Albert Dobi, Francisco J. Rentas, Peter A. Pinto, Gregory T. Chesnut, Peter Choyke, Baris Turkbey, Joel T. Moncur

“…In summary, deep learning-based quantitative Gleason scoring using a selective CutMix training strategy may improve prognostication after prostate cancer surgery.…”
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Exploration of Hub Genes and Pathogenetic Pathways in Systemic Lupus Erythematosus Complicated with Early Onset Atherosclerosis by Han Zhang, Yinde Huang, Xin Li, Wenbin Chen, Yu Lun, Jian Zhang

“…In total, nine transcription factors (TFs) that may participate in regulating the function of these genes were identified. …”
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Thematic Analysis of Clinician Documentation Surrounding Treatment Discussions and Decision‐Making in Patients With Desmoid Tumors by Victoria Wytiaz, Tianyi Wang, Scott Schuetze, Nina J. Francis‐Levin, Rashmi Chugh

“…The rarity of desmoid tumors and the inability to accurately predict their natural history lead to challenges in developing treatment algorithms or formulaic discussions to address treatment options with patients. …”
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Antioxidants for the management of oral leukoplakia: A systematic review of randomized controlled trials by Divya Gopinath, Sara Ibrahim Waki, Kwok Fu Cheah, Swagatika Panda

“…Introduction: Oral leukoplakia (OL) is a potentially malignant disorder characterized by non-scrabble white lesions that may turn into invasive carcinoma if left untreated. …”
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Deep reinforcement learning for conservation decisions by Marcus Lapeyrolerie, Melissa S. Chapman, Kari E. A. Norman, Carl Boettiger

“…Our results demonstrate that deep RL has the potential to solve challenging decision problems in conservation. While this potential may be compelling, the challenges involved in successfully deploying RL‐based management to realistic scenarios are formidable—the required expertise and computational cost may place these applications beyond the reach of all but large, international technology firms. …”
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Classification of the Condition of Cancer Patients Receiving Home Health Care with Machine Learning Methods by Mürsel Kahveci

“…The ANN classifier achieved 88.6% accuracy for all cancer types.The use of machine learning algorithms may provide a more sensitive and objective way to evaluate patients' response to treatment. …”
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Commonalities and differences in gene expression patterns in major depressive disorder and chronic spontaneous urticaria: implications for comorbidity by Yibo Jiang, Wen Li, Lihao Zheng, Nan Ba

“…Chronic Spontaneous Urticaria (CSU) disrupts patients’ physical wellbeing through recurrent wheals that last for up to 24 h and pruritus, and may also contribute to the development and progression of mental health conditions such as depression due to poor control of CSU symptoms. …”
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A Novel Immune-Related Three-Gene Signature and Immune Infiltration Insights in Psoriasis and Chronic Kidney Disease by Yin T, Zhang T, Ma L

“…Subsequently, six hub genes were determined using five topological algorithms. The responses of these two diseases exhibited similar changes in immune reactions. …”
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Predictive model for initial response to first-line treatment in children with infantile epileptic spasms syndrome by Wenrong Ge, Lin Wan, Zong Wang, Lijun Fu, Guang Yang

“…Abstract Background Previous studies have suggested that factors such as the treatment interval and aetiology may influence the initial response rate to first-line treatment for infantile epileptic spasms syndrome (IESS). …”
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