Diagnosis of knee meniscal injuries using artificial intelligence: A systematic review and meta-analysis of diagnostic performance. by Soheil Mohammadi, Ali Jahanshahi, Mohammad Shahrabi Farahani, Mohammad Amin Salehi, Negin Frounchi, Ali Guermazi

“…The pooled sensitivity and specificity for studies validating algorithms with an external test set were 82% (95% CI: 74, 88), and 88% (95% CI: 84, 91), respectively.…”
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Selective expansion of viral variants following experimental transmission of a reconstituted feline immunodeficiency virus quasispecies. by Brian J Willett, Martin Kraase, Nicola Logan, Elizabeth McMonagle, Mariana Varela, Margaret J Hosie

“…Proviral loads were similar in both study groups, peaking by 10 weeks post-infection, a higher plateau (set-point) being achieved and maintained in study Group 1. …”
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The effect of different scion/rootstock combinations on yield properties of cv. `Cabernet Sauvignon` by Franc ČUŠ

“…`Cabernet Sauvignon`) were evaluated. The experiment was set in the Vipava Valley as a randomised group trial. …”
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Navigating the Editorial Gauntlet for Excellence in Radiology Publishing by Chander Mohan, Manphool Singhal, Ashish Verma

“…The EiC has to ensure adherence to journal guidelines, confidentiality in rigorous review by motivated reviewers, preventing reviewer burnout, incentivization of reviewers, and the review by biostatistician of manuscripts having large data set for appropriateness of statistical analysis. …”
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FLORA: a novel method to predict protein function from structure in diverse superfamilies. by Oliver C Redfern, Benoît H Dessailly, Timothy J Dallman, Ian Sillitoe, Christine A Orengo

“…We benchmark FLORA on a large data set of enzyme superfamilies from all three major protein classes (alpha, beta, alphabeta) and demonstrate the functional relevance of the motifs it identifies. …”
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Evolutionary divergence of induced versus constitutive antiviral gene expression levels between primates and rodents. by Lilach Schneor, Dafna Tussia-Cohen, Evgeny Fraimovitch, Sivan Friedman, Tzachi Hagai

“…Using human and mouse data, we detected 578 transcriptionally divergent orthologous genes. …”
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Optimizing Stroke Classification with Pre-Trained Deep Learning Models by Serra Aksoy, Pinar Demircioglu, Ismail Bogrekci

“…The model was able to detect key patterns linked to stroke risk, highlighting its potential for use in clinical settings to aid in early diagnosis and decision-making. …”
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The association between smoking and ectopic pregnancy: why nicotine is BAD for your fallopian tube. by Andrew W Horne, Jeremy K Brown, Junko Nio-Kobayashi, Hazirah B Z Abidin, Zety E H A Adin, Lyndsey Boswell, Stewart Burgess, Kai-Fai Lee, W Colin Duncan

“…Epidemiological studies have shown that cigarette smoking is a major risk factor for tubal ectopic pregnancy but the reason for this remains unclear. Here, we set out to determine the effect of smoking on Fallopian tube gene expression. …”
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Variants of the Coagulation and Inflammation Genes Are Replicably Associated with Myocardial Infarction and Epistatically Interact in Russians. by Rosa M Barsova, Dmitrijs Lvovs, Boris V Titov, Natalia A Matveeva, Roman M Shakhnovich, Tatiana S Sukhinina, Nino G Kukava, Mikhail Ya Ruda, Irina M Karamova, Timur R Nasibullin, Olga E Mustafina, German J Osmak, Ekaterina Yu Tsareva, Olga G Kulakova, Alexander V Favorov, Olga O Favorova

“…We also found and replicated biallelic combinations of TGFB1 with FGB, TGFB1 with CRP and IFNG with PTGS1 genetic variants associated with myocardial infarction providing a detectable cumulative effect. We proposed an original two-component procedure for the analysis of nonlinear (epistatic) interactions between the genes in biallelic combinations and confirmed the epistasis hypothesis for the set of alleles of IFNG with PTGS. …”
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Adversarial example defense algorithm for MNIST based on image reconstruction by Zhongyuan QIN, Zhaoxiang HE, Tao LI, Liquan CHEN

“…With the popularization of deep learning, more and more attention has been paid to its security issues.The adversarial sample is to add a small disturbance to the original image, which can cause the deep learning model to misclassify the image, which seriously affects the performance of deep learning technology.To address this challenge, the attack form and harm of the existing adversarial samples were analyzed.An adversarial examples defense method based on image reconstruction was proposed to effectively detect adversarial examples.The defense method used MNIST as the test data set.The core idea was image reconstruction, including central variance minimization and image quilting optimization.The central variance minimization was only processed for the central area of the image.The image quilting optimization incorporated the overlapping area into the patch block selection.Considered and took half the size of the patch as the overlap area.Using FGSM, BIM, DeepFool and C＆amp;W attack methods to generate adversarial samples to test the defense performance of the two methods, and compare with the existing three image reconstruction defense methods (cropping and scaling, bit depth compression and JPEG compression).The experimental results show that the central variance minimization and image quilting optimization algorithms proposed have a satisfied defense effect against the attacks of existing common adversarial samples.Image quilting optimization achieves over 75% classification accuracy for samples generated by the four attack algorithms, and the defense effect of minimizing central variance is around 70%.The three image reconstruction algorithms used for comparison have unstable defense effects on different attack algorithms, and the overall classification accuracy rate is less than 60%.The central variance minimization and image quilting optimization proposed achieve the purpose of effectively defending against adversarial samples.The experiments illustrate the defense effect of the proposed defense algorithm in different adversarial sample attack algorithms.The comparison between the reconstruction algorithm and the algorithm shows that the proposed scheme has good defense performance.…”
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Node optimization coverage method under link model in passive monitoring system of three-dimensional wireless sensor network by Zhanjun Hao, Nanjiang Qu, Xiaochao Dang, Jiaojiao Hou

“…On this basis, the intruder is detected by the data packets transmitted between the wireless links, and then the coverage area is monitored by monitoring the received signal strength of the wireless signal. …”
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High-throughput NMR assessment of the tertiary structure of food allergens. by Stefano Alessandri, Ana Sancho, Stefan Vieths, Clare E N Mills, Jean-Michel Wal, Peter R Shewry, Neil Rigby, Karin Hoffmann-Sommergruber

“…The nuclear magnetic resonance (NMR) results were compared with structural information available either from the literature, Protein Data Bank entries, or derived from molecular models.…”
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Influence of Messa di Voce speed on vocal stability of professionally trained singers. by Marie Köberlein, Jonas Kirsch, Michael Döllinger, Matthias Echternach

“…Vibrato did not play a role in the variation of SPL in the presented cohort. The data suggest that SPL variation is mainly controlled on vocal fold level rather than by vocal tract resonances.…”
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Incidence of eclampsia and related complications across 10 low- and middle-resource geographical regions: Secondary analysis of a cluster randomised controlled trial. by Nicola Vousden, Elodie Lawley, Paul T Seed, Muchabayiwa Francis Gidiri, Shivaprasad Goudar, Jane Sandall, Lucy C Chappell, Andrew H Shennan, CRADLE Trial Collaborative Group

“…This analysis may have been influenced by the selection of predominantly urban and peri-urban settings, and by collection of only monthly data on availability of magnesium sulfate, and is limited by the lack of demographic data in the population of women delivering in the trial areas.…”
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Privacy–preserving dementia classification from EEG via hybrid–fusion EEGNetv4 and federated learning by Muhammad Umair, Muhammad Shahbaz Khan, Muhammad Hanif, Wad Ghaban, Ibtehal Nafea, Sultan Noman Qasem, Sultan Noman Qasem, Faisal Saeed

“…Electroencephalography (EEG) based diagnosis presents a non-invasive, cost effective alternative for early detection, yet existing methods are challenged by data scarcity, inter-subject variability, and privacy concerns. …”
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Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds by Geyi Wen, Chenshuo Wang, Wei Zhao, Jinliang Meng, Yanyan Xu, Ruiqi Wang, Zijing Zeng

“…Results We gathered valid data from 530 adults, of whom 171 met the criteria for being at risk of COPD. …”
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Integrative single-cell and cell-free plasma RNA transcriptomics identifies biomarkers for early non-invasive AD screening by Li Wu, Li Wu, Renxin Zhang, Renxin Zhang, Yichao Wang, Yichao Wang, Shaoxing Dai, Shaoxing Dai, Naixue Yang, Naixue Yang

“…However, limited by the unavailability of brain tissue, there is an urgent need for a non-invasive tool to detect alterations in the AD brain. Cell-free RNA (cfRNA), which crosses the blood-brain barrier, could reflect AD brain pathology and serve as a diagnostic biomarker.MethodsHere, we integrated plasma-derived cfRNA-seq data from 337 samples (172 AD patients and 165 age-matched controls) with brain-derived single cell RNA-seq (scRNA-seq) data from 88 samples (46 AD patients and 42 controls) to explore the potential of cfRNA profiling for AD diagnosis. …”
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Assessment of the long RR intervals using convolutional neural networks in single-lead long-term Holter electrocardiogram recordings by Tan Lyu, Miao Ye, Minjie Yuan, Haina Chen, Sijie Han, Lifang Yu, Chen Li

“…Abstract Advancements in medical technology have extended long-term electrocardiogram (ECG) monitoring from the traditional 24 h to 7–14 days, significantly enriching ECG data. However, this poses unprecedented challenges for physicians in analyzing these extensive datasets. …”
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Exploring the gastric cancer care pathway in South Africa by Anishka Ramadhar, Juliana Kagura, Mazvita Muchengeti, Cameron Gaskill, Natasha Khamisa

“…Aim: The study aims to map the GC care pathway in SA from diagnosis to management by healthcare professionals (HCPs) involved in the GC patient journey and explore barriers and facilitators to the effective flow of the GC care pathway. Setting: Interviews conducted with South African HCPs were the data source used in this article for analysis. …”
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Biomarkers for systemic lupus erythematosus: A scoping review by Su‐jie Zhang, Rui‐yang Xu, Long‐li Kang

“…At the same time, advanced computational methods are needed to analyze large data sets and discover new biomarkers, and strive to find biomarkers that are sensitive and specific enough to SLE and can be used in clinical practice, rather than only staying in experimental research and data analysis.…”
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