Lightweight marine biodetection model based on improved YOLOv10 by Wei Pan, Jiabao Chen, Bangjun Lv, Likun Peng

“…In IoT-enabled marine biology, real-time monitoring of marine organisms faces challenges due to blurred images and complex underwater backgrounds, which hinder feature extraction and lead to missed detections. Addressing these issues, the lightweight YOLOv10-AD model introduces AKVanillaNet, a novel backbone optimized for the distinct shapes of marine organisms, improving detection accuracy while minimizing parameters and computational cost. …”
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A Two-Stage Method for Screening Pulse RFI in SAR Raw Data Alternating the Use of Time and Frequency Domains by Tingting Wei, Xingwang Hu, Zhengwei Guo, Gaofeng Shu, Yabo Huang, Ning Li

“…Compared with the traditional PRFI screening methods, the proposed approach boasts a remarkable ability to circumvent missed screening and false alarm when screening weak-energy PRFIs. …”
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PPAR-γ Regulates Trophoblast Differentiation in the BeWo Cell Model by Khrystyna Levytska, Sascha Drewlo, Dora Baczyk, John Kingdom

“…In humans and mice, glial cell missing-1 (GCM-1) promotes differentiation of underlying cytotrophoblast cells into the outer SCT layer. …”
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The Association of Sleep Disorder, Obesity Status, and Diabetes Mellitus among US Adults—The NHANES 2009-2010 Survey Results by Jian Liu, John Hay, Brent E. Faught

“…To examine the association between sleep disorders, obesity status, and the risk of diabetes in adults, a total of 3668 individuals aged 40+ years from the NHANES 2009-2010 without missing information on sleep-related questions, measurements related to diabetes, and BMI were included in this analysis. …”
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Facing the fear: a scaffolding approach to teaching life sciences undergraduates R coding by Elena Paci, Alex Swainson, Nadia L. Cerminara

“…Despite this, computational tools are often missing from Life Sciences undergraduate curricula. …”
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Risk Factors for Child Mortality in the Kassena-Nankana District of Northern Ghana: A Cross-Sectional Study Using Population-Based Data by Michael N. K. Babayara, Bright Addo

“…Though strategies are in place to address it, progress made is unsatisfactory and the Sustainable Development Goal 3 risks being missed. This makes the reexamination of the risk factors for child mortality crucial as results will aid in the modification of existing strategies aimed at addressing the problem. …”
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A Case of Colorectal Cancer during Pregnancy: A Brief Review of the Literature by Sepideh Khodaverdi, Ali Kord Valeshabad, Maryam Khodaverdi

“…Herein we present a case of colorectal cancer that was missed by pregnancy all over the pregnancy period. …”
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Early Detection of Baby-Rain-Cell Aloft in a Severe Storm and Risk Projection for Urban Flash Flood by Eiichi Nakakita, Hiroto Sato, Ryuta Nishiwaki, Hiroyuki Yamabe, Kosei Yamaguchi

“…Also, we found a vertical vorticity criterion for identifying hazardous rain-cells and developed a heavy rainfall prediction system that has the important feature of not missing any hazardous rain-cell. Being able to detect heavy rainfall by 23.6 min on average before it reaches the ground, this system is implemented in XRAIN in the Kinki area. …”
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Dynamics of phase separation from holography by Maximilian Attems, Yago Bea, Jorge Casalderrey-Solana, David Mateos, Miguel Zilhão

“…In contrast, a Müller-Israel-Stewart-type formulation of hydrodynamics fails to provide a good description for two reasons. First, it misses some large, purely-spatial gradient corrections. …”
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Tracking Vehicle Cruising in an Open Parking Lot Using Deep Learning and Kalman Filter by Vijay Paidi, Hasan Fleyeh, Johan Håkansson, Roger G. Nyberg

“…The performance of Kalman filter is dependent on the efficiency of the detector and the utilized Kalman filter facilitates maintaining data association during moving, stationary, and missed detection. Therefore, the use of deep learning algorithms and Kalman filter facilitates detecting and tracking multiple vehicles in an open parking lot.…”
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Estimation of Surface Runoff for Al-Ghadaf Valley using the SWAT Model by Atheer G. Ibrahim

“…I wasn’t able to choose a period larger than 13 years because some of them are missing. Despite this, one of the features of the period that was chosen is that the years 2019 and 2013 fall within the chosen period and are considered flood years by the Iraqi Ministry of Water Resources. …”
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A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging by Zheyi Dong, Xiaofei Wang, Sai Pan, Taohan Weng, Xiaoniao Chen, Shuangshuang Jiang, Ying Li, Zonghua Wang, Xueying Cao, Qian Wang, Pu Chen, Lai Jiang, Guangyan Cai, Li Zhang, Yong Wang, Jinkui Yang, Yani He, Hongli Lin, Jie Wu, Li Tang, Jianhui Zhou, Shengxi Li, Zhaohui Li, Yibing Fu, Xinyue Yu, Yanqiu Geng, Yingjie Zhang, Liqiang Wang, Mai Xu, Xiangmei Chen

“…Abstract Differentiating between diabetic nephropathy (DN) and non-diabetic renal disease (NDRD) without a kidney biopsy remains a major challenge, often leading to missed opportunities for targeted treatments that could greatly improve NDRD outcomes. …”
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Are we optimizing medical students’ preparation for clerkship? A content analysis of narrative comments on clinical skills during preclinical training by Linda Bergeron, Patricia Blanchette, Molk Chakroun, Élisabeth Boileau, Isabelle Boulais, Martine Chamberland, Christina St-Onge

“…Discussion: In this study, narrative comments on clinical skills before clerkship seemed minimally helpful, as they were overwhelmingly positive and seldom offered suggestions.  This could suggest missed opportunities for early interventions. Pre-clerkship narrative comments could potentially be optimized by increasing emphasis on clinical reasoning, addressing challenges early and providing actionable steps for improvement. …”
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Advancements in Predictive Analytics: Machine Learning Approaches to Estimating Length of Stay and Mortality in Sepsis by Houssem Ben Khalfallah, Mariem Jelassi, Jacques Demongeot, Narjès Bellamine Ben Saoud

“…After rigorous preprocessing to address missing data and ensure consistency, multiple classifiers, including Random Forest, Extra Trees, and Gradient Boosting, were trained and validated. …”
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Neuromorphic compliant control facilitates human-prosthetic performance for hand grasp functions by Anran Xie, Zhuozhi Zhang, Jie Zhang, Weidong Chen, James Patton, Ning Lan

“…Current bionic hands lack the ability of fine force manipulation for grasping fragile objects due to missing human neuromuscular compliance in control. …”
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Towards a global knowledge for environmentally sustainable development agenda in 21 st century southern Africa by Stanford Garikayi Mukasa

“…Whether one looks at the various models of information and communication for development; or whatever one calls it, the theories advanced under the various acronyms still do not conclusively address the basic question raised above. Is there a missing link, variable or factor in all of these attempts to causally relate information and communication to development? …”
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Association of Glycated Proteins with Inflammatory Proteins and Periodontal Disease Parameters by Jeneen Panezai, Mohammad Altamash, Per-Erik Engstrӧm, Anders Larsson

“…Adjusted PPD total and number of missing teeth were increased in diabetes whereas levels of RANKL and RANKL to OPG ratio were the highest in nondiabetic periodontitis patients. …”
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Identification of homozygosity-rich regions in the Holstein genome by M. G. Smaragdov

“…For runs of homozygosity (ROH) identification, consecutive and sliding runs were performed by the detectRUNS and Plink software. The missing calls did not significantly affect the ROH data. …”
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Tomato ripeness and stem recognition based on improved YOLOX by Yanwen Li, Juxia Li, Lei Luo, Lingqi Wang, Qingyu Zhi

“…It effectively reduces false and missed detections during tomato harvesting, improving the identification accuracy of tomato fruits and stems. …”
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Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression by Joseph M. Josephides, Chun-Long Chen

“…We use single-cell copy number data to accurately perform missing value imputation, identify cell replication states, and detect genomic heterogeneity. …”
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