Newly Diagnosed Cases of Major Hemoglobinopathies (2016-2021) in Duhok: How Effective is The Premarital Preventive Program? by Israa Khaleel Isamil, Nasir Al-Allawi

“…We aimed to assess the effectiveness of the program through its ability to reduce the number of newly diagnosed cases. …”
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Surface morphology segmentation and evaluation of diamond lapping pad based on improved Mask R-CNN by Wenlong SUO, Yanfen LIN, Congfu FANG

“…ConclusionsThe dilated convolution method can effectively expand the receptive field and improve the ability to extract deep semantic features of targets at different scales. …”
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A Precipitation Forecast Score Based on Potential Impact by Liujie PAN, Hongfang ZHANG, Chunjuan QI, Shan LU, Lili DU

“…Impact" is defined as the characterization of potential consequences that may result from forecast hits or misses on actual precipitation occurrences.For hit and missed events， impact factors are defined by taking the logarithm of observed precipitation and the logarithm of the difference between observed and forecasted precipitation.Based on this， equivalent impacts （AI and CI） of hit and missed events are accumulated at the spatiotemporal scale.The scoring solely considering the impact of CI is defined as a sub-item of the Impact Threat Scoring （ITS）.The precipitation scoring that takes into account the combined effects of AI and CI is defined as the ITS score.Analysis shows that ITS0 assigns dynamic weights based on the degree of difference in missed precipitation， allowing for a clear distinction of the impact level of missed events.On the other hand， ITS rewards the accurate prediction of heavy precipitation.The larger the hit precipitation values and the smaller the difference between the forecasted and observed values in missed events， the larger the ITS score.These factors result in a better ability to depict the potential consequences on actual precipitation.…”
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Beyond traditional biopsies: the emerging role of ctDNA and MRD on breast cancer diagnosis and treatment by Hussein Sabit, Manar G. Attia, Nouran Mohamed, Pancé S. Taha, Nehal Ahmed, Salma Osama, Shaimaa Abdel-Ghany

“…However, the discovery of circulating tumor DNA (ctDNA) and minimal residual disease (MRD) detection has revolutionized our approach to breast cancer. ctDNA, which is fragmented tumor DNA found in the bloodstream, provides a minimally invasive way to understand the tumor's genomic landscape, revealing heterogeneity and critical mutations that biopsies may miss. MRD, which indicates cancer cells that remain after treatment, can now be detected using ctDNA and other advanced methods, improving our ability to predict disease recurrence. …”
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Better Cone-Beam CT Artifact Correction via Spatial and Channel Reconstruction Convolution Based on Unsupervised Adversarial Diffusion Models by Guoya Dong, Yutong He, Xuan Liu, Jingjing Dai, Yaoqin Xie, Xiaokun Liang

“…However, CBCT images of low-density soft tissues are often plagued with artifacts and noise, which can lead to missed diagnoses and misdiagnoses. We propose a new unsupervised CBCT image artifact correction algorithm, named Spatial Convolution Diffusion (ScDiff), based on a conditional diffusion model, which combines the unsupervised learning ability of generative adaptive networks (GAN) with the stable training characteristics of diffusion models. …”
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YOLO-Helmet: A Novel Algorithm for Detecting Dense Small Safety Helmets in Construction Scenes by Guoliang Yang, Xinfang Hong, Yangyang Sheng, Liuyan Sun

“…However, the current algorithms for detecting helmet-wearing face several challenges, including high missed detection rates and low accuracy in detecting dense small safety helmets. …”
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Four-Channel Emitting Laser Fuze Structure Based on 3D Particle Hybrid Collision Scattering Under Smoke Characteristic Variation by Zhe Guo, Bing Yang, Zhonghua Huang

“…The simulation results showed that false alarms in low-visibility and missed alarms in high-visibility smoke scenes could be effectively solved with four emitting lasers. …”
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A Frequency-Aware Transformer for Multiscale Fault Diagnosis in Electrical Machines by Yurim Choi, Inwhee Joe

“…However, conventional fault diagnosis methods struggle to effectively capture complex time-frequency patterns, limiting their ability to perform early fault detection and accurate classification. …”
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Multi-voxel pattern analysis for developmental cognitive neuroscientists by João F. Guassi Moreira, Jennifer A. Silvers

“…Omitting MVPA methods might represent a missed opportunity to leverage a suite of tools that are uniquely poised to reveal mechanisms underlying brain development. …”
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Improving lesion detection skills in medical imaging education through enhanced peripheral visual perception by Fenghong Wang, Guoye Liu, Siu Shing Man

“…However, neither peripheral nor central vision training significantly improved specificity and negative predictive value, which were metrics of negative diagnostic ability. Consequently, enhancing peripheral vision perception helped to reduce missed diagnoses, but with limited impact on reducing misdiagnosis. …”
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Advances in the Study of Acute Necrotizing Encephalopathy by Cao ZJ, Sun Y, Li FL

“…Its purpose is to enhance clinical doctors’ ability to identify and manage ANE, provide reference for accurate diagnosis and effective treatment, and support ongoing research aimed at gaining a deeper understanding of this serious disease.Keywords: acute necrotizing encephalopathy, inflammation, MRI, RanBP2, viral infection…”
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Smart sustainable cyber security: modelling an interpretable and transparent threat detection with explainable artificial intelligence by Saif Jasim Almheiri, Asghar Ali Shah, Sagheer Abbas, Munir Ahmad, Muhammad Adnan Khan

“…This improves the detection of cyber threats and enhances the ability for intelligent, adaptive, and anticipative cyber defenses by minimizing false positives while advancing interpretability.…”
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Real-time Detection of Imperfect Wheat Grains on Wheat Pile Surface Based on IDS-YOLO by FAN Jiawei, WU Lan, YAN Jingjing

“…However, the background of grain surface images acquired by intelligent devices is dense and complicated with overlapping particles, causing noise interferences in the detection of imperfect wheat grains. To address the high missed detection rate of imperfect grains in target detection algorithms and to enhance the model detection speed, this study optimized the lightweight network model YOLOV4-Tiny. …”
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Pulsed electric fields and meat processing: latest updates by Igor Tomasevic, Volker Heinz, Ilija Djekic, Nino Terjung

“…Colour changes of meat after PEF treatment are directly proportional to the extent of total specific energy inputs used in the processing, while the effect of PEF on meat sensory properties is yet to be discovered. Since the ability of PEF to achieve its desired goals is dependent on many different factors, including the type of meat, electric field strength, number and duration of electric pulses, and others, more studies are needed to fully understand specific conditions that can be dependably applied in the meat industry.Highlights pulsed electric fields improve functional quality of meat pulsed electric fields do not negatively affect nutritional quality of meat pulsed electric fields sustainability research in meat industry is hugely missing…”
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Truck Lifting Accident Detection Method Based on Improved PointNet++ for Container Terminals by Yang Shen, Xintai Man, Jiaqi Wang, Yujie Zhang, Chao Mi

“…Moreover, the boundary features of key accident objects, such as containers, truck chassis, and wheels, are often blurred, resulting in frequent false and missed detections. To tackle these challenges, this paper proposes an accident detection method based on multi-line LiDAR and an improved PointNet++ model. …”
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Seismic phase recognition model with low SNR based on U-net by Jianxian Cai, Zhongjie Sun, Mengying Zhang, Fenfen Yan, Li Wang, Ling Li

“…Aiming at the problem of low recognition accuracy and high missed detection rate of seismic phase recognition of low signal-to-noise ratio seismic signals, a new seismic phase recognition model UBAN (U-net-Bidirectional Gated Recurrent Unit-Attention Network) is designed based on U-net neural network framework, combined with Bi-GRU bidirectional gated recurrent unit and Attention attention mechanism. …”
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Multi-Strategy Improvement of Coal Gangue Recognition Method of YOLOv11 by Hongjing Tao, Lei Zhang, Zhipeng Sun, Xinchao Cui, Weixun Yi

“…The current methods for detecting coal gangue face several challenges, including low detection accuracy, a high probability of missed detections, and inadequate real-time performance. …”
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109 Retrospective analysis of sociodemographic and geographic risk factors for presenting keratitis severity in a South Indian population by Shruti Anant, Kamini Reddy, Josephine Christy, Nakul Shekhawat

“…Univariate logistic regression was used to evaluate associations between specific potential risk factors (including age, sex, awareness of keratitis, travel distance to hospital, education level, missed work wages, and ability to afford care) and keratitis clinical severity (defined using thresholds of poor visual acuity, size of stromal infiltrate measured on slit lamp examination, occurrence of perforation, and need for corneal transplant surgery). …”
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Automated Chest X-Ray Diagnosis Report Generation with Cross-Attention Mechanism by Jian Zhao, Wei Yao, Lei Sun, Lijuan Shi, Zhejun Kuang, Changwu Wu, Qiulei Han

“…This study uses deep learning technology to automatically generate diagnostic reports for chest X-ray images, which significantly reduces the workload of doctors, reduces the risk of misdiagnosis and missed diagnosis, and provides technical support for improving public health emergency response capabilities. …”
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A Robust YOLOv5 Model with SE Attention and BIFPN for Jishan Jujube Detection in Complex Agricultural Environments by Hao Chen, Lijun Su, Yiren Tian, Yixin Chai, Gang Hu, Weiyi Mu

“…These results highlight the model’s effectiveness in addressing missed detections of small and occluded fruits while maintaining higher confidence in predictions.…”
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