Scientific Reports最新文献

{"title":"Retraction Note: Detection of hate: speech tweets based convolutional neural network and machine learning algorithms.","authors":"Hameda A Sennary, Ghada Abozaid, Ashraf Hemeida, Alexey Mikhaylov","doi":"10.1038/s41598-024-83363-x","DOIUrl":"https://doi.org/10.1038/s41598-024-83363-x","url":null,"abstract":"","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30559"},"PeriodicalIF":3.8,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corneal protein repair after amniotic membrane photo-tissue bonding versus amniotic membrane graft in the treatment of corneal ulcer (an experimental study).","authors":"Shaimaa Mohammad, Salwa Abdelkawi, Mona Ebrahim, Aziza Ahmed, Dina Fouad","doi":"10.1038/s41598-024-81266-5","DOIUrl":"https://doi.org/10.1038/s41598-024-81266-5","url":null,"abstract":"<p><p>Corneal alkali burns persist as a significant challenge in our field, often leading to a prolonged treatment course with various sight-threatening problems. This work, of utmost importance, aimed to apply the photo-tissue bonding technique (PTB) to weld the amniotic membrane (AM) to the corneal surface versus an amniotic membrane graft (AMG) and explore its safety in saving corneal protein against alkali burn.Methods Twenty-seven rabbits with an induced corneal ulcer using 1 mol/L NaOH solution. Nine rabbits were used as an ulcer group without treatment, and the rest (n = 18) were subjected to two treatment protocols with AM. The first was attaching the AM to the corneal ulcer through photo-tissue bonding using 532 nm and rose Bengal stain as a photosynthesizing agent. The second was using cyanoacrylate glue as a tissue adhesive. The corneal total protein (TP), refractive index (RI), DNA fragmentation, and oxidative stress index (OSI) were evaluated. Results: The cornea's TP showed a significant decrease (p˂0.001) immediately, 1 week, and 2 weeks after ulcer induction (-58.9%, -64.4%, and - 72.6%, respectively). The treatment with AM PTB showed improvement immediately (-45.2%, p˂0.001), after one week (-27.4%, p˂0.01), and after two weeks (-14.38%, p˂0.05). Moreover, the treatment with AMG showed improvement after the same periods with percentage changes of -52.05%, (p˂0.001), -41.8% (p˂0.001), and - 32.2%, (p˂0.01) with respect to the control. Moreover, RI of corneal protein showed improvement after two weeks of treatment with AM PTB (3%, p˃0.05) and AMG (7%, p˃0.05), respectively. The corneal protein DNA base pairs improved 88.49% for AM PTB and 82.35% for the AMG group. The oxidative stress was shifted towards an antioxidative state in AM PTB (-3.9%, P > 0.05) and the AMG group (15.9%, P < 0.05). Conclusion: The AM PTB technique used in corneal ulcers showed promising improvement in total corneal proteins, refractive index, DNA fragmentation, and OSI than AMG using cyanoacrylate glue. These results strongly support the use of AM PTB for ophthalmic purposes, suggesting its potential to enhance clinical research and practice for patients with corneal ulcers and ocular surface diseases.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30561"},"PeriodicalIF":3.8,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Facile synthesis of novel nanocomposite composed of Co₃O₄, MgO, and Mg₃B₂O₆ for malachite green dye decontamination from aqueous media.","authors":"Asma S Al-Wasidi, Ehab A Abdelrahman, Reem K Shah, Nermin A Abdelhakim, Fawaz A Saad","doi":"10.1038/s41598-024-82321-x","DOIUrl":"https://doi.org/10.1038/s41598-024-82321-x","url":null,"abstract":"<p><p>Malachite green is a hazardous chemical that poses serious threats to aquatic ecosystems due to its toxicity and persistence in the environment. Additionally, it is harmful to human health, recognized as a carcinogenic and mutagenic agent that can cause long-term adverse effects. Hence, in this study, malachite green dye was efficiently removed from aqueous media using Co₃O₄/MgO/Mg₃B₂O₆ novel nanocomposites, known as CBM600 and CBM800. The CBM600 and CBM800 nanocomposites were facilely fabricated through the Pechini sol-gel procedure at 600 and 800 °C, respectively. Besides, X-ray diffraction analysis showed their crystalline structures, including Co₃O₄ and MgO in cubic systems, and Mg₃B₂O₆ in an orthorhombic system. For the CBM600 and CBM800 nanocomposites, the average crystal sizes are 40.76 nm and 57.43 nm, with BET surface areas of 74.25 m²/g and 57.59 m²/g, respectively. The highest uptake capacities for malachite green dye by the CBM600 and CBM800 nanocomposites are 492.61 mg/g and 440.53 mg/g, respectively. The pseudo-second-order model and Langmuir isotherm were the best fits for the adsorption data. Also, the uptake of malachite green dye by the CBM600 and CBM800 nanocomposites is spontaneous, physical, and exothermic. The nanocomposites were regenerated using 6 M HCl and repeatedly used to remove malachite green dye with very small loss in efficiency, demonstrating their robust reusability.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30570"},"PeriodicalIF":3.8,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence in risk prediction and diagnosis of vertebral fractures.","authors":"Srikar R Namireddy, Saran S Gill, Amaan Peerbhai, Abith G Kamath, Daniele S C Ramsay, Hariharan Subbiah Ponniah, Ahmed Salih, Dragan Jankovic, Darius Kalasauskas, Jonathan Neuhoff, Andreas Kramer, Salvatore Russo, Santhosh G Thavarajasingam","doi":"10.1038/s41598-024-75628-2","DOIUrl":"https://doi.org/10.1038/s41598-024-75628-2","url":null,"abstract":"<p><p>With the increasing prevalence of vertebral fractures, accurate diagnosis and prognostication are essential. This study assesses the effectiveness of AI in diagnosing and predicting vertebral fractures through a systematic review and meta-analysis. A comprehensive search across major databases selected studies utilizing AI for vertebral fracture diagnosis or prognosis. Out of 14,161 studies initially identified, 79 were included, with 40 undergoing meta-analysis. Diagnostic models were stratified by pathology: non-pathological vertebral fractures, osteoporotic vertebral fractures, and vertebral compression fractures. The primary outcome measure was AUROC. AI showed high accuracy in diagnosing and predicting vertebral fractures: predictive AUROC = 0.82, osteoporotic vertebral fracture diagnosis AUROC = 0.92, non-pathological vertebral fracture diagnosis AUROC = 0.85, and vertebral compression fracture diagnosis AUROC = 0.87, all significant (p < 0.001). Traditional models had the highest median AUROC (0.90) for fracture prediction, while deep learning models excelled in diagnosing all fracture types. High heterogeneity (I² > 99%, p < 0.001) indicated significant variation in model design and performance. AI technologies show considerable promise in improving the diagnosis and prognostication of vertebral fractures, with high accuracy. However, observed heterogeneity and study biases necessitate further research. Future efforts should focus on standardizing AI models and validating them across diverse datasets to ensure clinical utility.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30560"},"PeriodicalIF":3.8,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Publisher Correction: Genetically predicted gut bacteria, circulating bacteria-associated metabolites and pancreatic ductal adenocarcinoma: a Mendelian randomisation study.","authors":"Neil Daniel, Riccardo Farinella, Anastasia Chrysovalantou Chatziioannou, Mazda Jenab, Ana-Lucia Mayén, Cosmeri Rizzato, Flavia Belluomini, Federico Canzian, Arianna Tavanti, Pekka Keski-Rahkonen, David J Hughes, Daniele Campa","doi":"10.1038/s41598-024-83618-7","DOIUrl":"https://doi.org/10.1038/s41598-024-83618-7","url":null,"abstract":"","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30569"},"PeriodicalIF":3.8,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Titanate-polyurethane-chitosan ternary nanocomposite as an efficient coating for steel against corrosion.","authors":"Ahmed S Abdellatif, Mohammed Shahien, Ashraf M El-Saeed, Ayman H Zaki","doi":"10.1038/s41598-024-81104-8","DOIUrl":"https://doi.org/10.1038/s41598-024-81104-8","url":null,"abstract":"<p><p>In this study, a titanate-polyurethane-chitosan ternary nanocomposite was prepared by physical mixing. Sodium titanate nanotubes (Na-TNTs) were prepared by the hydrothermal method, and chitosan was extracted from shrimp shell. Na-TNTs were mixed with polyurethane (PU) of different ratios by weight, and chitosan was added after optimization. All of the nanocomposite samples were characterized by field-emission scanning electron microscopy (FESEM), and the mechanical properties were investigated by abrasion, adhesion pull-off, impact resistance, and T-bending tests. The anticorrosion ability was tested by the salt spray method. The obtained results revealed that the binary composite of PU and 1.5% Na-TNTs exhibited remarkable anticorrosion activity among all the binary composites where the disbonded area 5% compared to blank PU 19% and adhesion 5.1 MPa compared to blank 3.5 MPa, while the ternary composite containing 4% chitosan exhibited the best anticorrosion activity where the disbonded area 2% and also exhibit better adhesion 7.9 MPa.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30562"},"PeriodicalIF":3.8,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Author Correction: Fast inter-frame motion correction in contrast-free ultrasound quantitative microvasculature imaging using deep learning.","authors":"Manali Saini, Mostafa Fatemi, Azra Alizad","doi":"10.1038/s41598-024-82620-3","DOIUrl":"https://doi.org/10.1038/s41598-024-82620-3","url":null,"abstract":"","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30553"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Craving induction through virtual reality cue-exposure for patients with alcohol dependence in rehabilitation treatment.","authors":"N Tsamitros, S Gutwinski, A Beck, S Lange Mussons, M Sebold, R Schöneck, T Wolbers, F Bermpohl, A Heinz, A Lütt","doi":"10.1038/s41598-024-81071-0","DOIUrl":"https://doi.org/10.1038/s41598-024-81071-0","url":null,"abstract":"<p><p>New therapeutic approaches for alcohol dependence (AD) include virtual reality (VR)-based treatments offering scalable options for cue exposure (CE), a well-established strategy in cognitive behavioral therapy. This study aimed to evaluate the feasibility and tolerability of a new VR-CE paradigm. On an explorative basis, factors influencing the induction of craving were examined. This single-arm monocentric clinical study included n = 21 patients with AD in inpatient rehabilitation treatment, that completed one VR-CE session including confrontation with alcohol-associated stimuli. Measurements of subjective craving before, during and after exposure, affective states, VR side effects as cybersickness and the sense of presence in VR were conducted. Craving levels during and directly after VR-CE were significantly higher than before the intervention. Craving levels 20 min after VR-CE did not significantly differ compared to those before VR-CE. Patients described a pronounced sense of presence and only mild symptoms of cybersickness. Craving was significantly correlated with cybersickness. While positive affect decreased throughout the VR exposure, negative affect did not differ significantly in pre-post-comparisons. This study shows that craving induction through our VR-CE paradigm is feasible and well-tolerated by patients with AD in long-term rehabilitation. These results contribute to the development and future research of therapeutic VR-CE approaches.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30550"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images.","authors":"Amal Alshardan, Nuha Alruwais, Hamed Alqahtani, Asma Alshuhail, Wafa Sulaiman Almukadi, Ahmed Sayed","doi":"10.1038/s41598-024-81966-y","DOIUrl":"https://doi.org/10.1038/s41598-024-81966-y","url":null,"abstract":"<p><p>Recognition and segmentation of brain tumours (BT) using MR images are valuable and tedious processes in the healthcare industry. Earlier diagnosis and localization of BT provide timely options to select effective treatment plans for the doctors and can save lives. BT segmentation from Magnetic Resonance Images (MRI) is considered a big challenge owing to the difficulty of BT tissues, and segmenting them from the healthier tissue is challenging when manual segmentation is done through radiologists. Among the recent proposals for the brain segmentation method, the BT segmentation method based on machine learning (ML) and image processing could be better. Thus, the DL-based brain segmentation method is extensively applied, and the convolutional network has better brain segmentation effects. The deep convolutional network model has the problem of a large loss of information and a large number of parameters in the encoding and decoding processes. With this motivation, this article presents a new Deep Transfer Learning with Semantic Segmentation based Medical Image Analysis (DTLSS-MIA) technique on MRI images. The DTLSS-MIA technique aims to segment the affected BT area in the MRI images. At first, the presented method utilizes a Median filtering (MF) approach to optimize the quality of MRI images and remove the noise. For the semantic segmentation method, the DTLSS-MIA method follows DeepLabv3 + with a backbone of the EfficientNet model for determining the affected brain region. Moreover, the CapsNet architecture is employed for the feature extraction process. Lastly, the crayfish optimization (CFO) technique with diffusion variational autoencoder (D-VAE) architecture is used as a classification mechanism, and the CFO technique effectively tunes the D-VAE hyperparameter. The simulation analysis of the DTLSS-MIA technique is validated on a benchmark dataset. The performance validation of the DTLSS-MIA technique exhibited a superior accuracy value of 99.53% over other methods.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30549"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The serum biomarkers NSE and S100B predict intracranial complications and in-hospital survival in patients undergoing veno-venous ECMO.","authors":"Janine Walther, Mathias Schmandt, Stefan Muenster, Stefan Franz X Kreyer, Marcus Thudium, Felix Lehmann, Julian Zimmermann, Christian Putensen, Jens-Christian Schewe, Johannes Weller, Stefan Felix Ehrentraut","doi":"10.1038/s41598-024-82898-3","DOIUrl":"https://doi.org/10.1038/s41598-024-82898-3","url":null,"abstract":"<p><p>Neurological complications in patients undergoing veno-venous extracorporeal membrane oxygenation (V-V ECMO) are challenging, with new intracranial pathologies posing a grave risk. We aimed to evaluate the utility of neuron-specific enolase (NSE) and S100B biomarkers for predicting outcomes in new-onset intracranial pathology during V-V ECMO. A retrospective analysis spanning 2013-2021 at a German university hospital was conducted. Cases with electronically available data on NSE and S100B serum levels, new intracranial pathologies (intracerebral hemorrhage [ICH], subarachnoid hemorrhage [SAH], cerebral ischemia, hypoxic-ischemic encephalopathy [HIE]), and survival during or after V-V ECMO were screened. The primary objective was to assess the prognostic value of NSE and S100B for in-hospital survival during V-V ECMO. Secondary objectives included analyzing clinical characteristics, outcome parameters, and biomarker distribution in V-V ECMO patients. Additionally, the prognostic value of NSE and S100B for in-hospital death and occurrence of intracranial pathology was calculated. Among 744 ECMO recipients, 426 underwent V-V ECMO. No significant differences in disease severity or organ failure scores were observed between groups, except for SAPS at discharge, which was higher in patients with new intracranial pathologies. Patients with new intracranial pathologies had lower median survival and higher in-hospital mortality. Weaning success from ECMO was also significantly reduced in these patients. Cut-off values of 58.4 µg/lfor NSE and 1.52 µg/l for S100B were associated with detrimental outcomes, characterized by significantly reduced median survival. A significant difference in maximum serum NSE concentration was found between patients with and without new intracranial pathology. All screened cases with new intracranial pathology had an unfavorable neurological outcome (modified Rankin Score [mRS] > 3) at discharge, with a higher proportion having an mRS of 6 in the high NSE group. The emergence of intracranial pathology during V-V ECMO significantly increases the risk of death. Changes in NSE and S100B levels serve as valuable follow-up parameters for predicting new intracranial pathology and survival during V-V ECMO therapy.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30545"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}