Scientific Reports最新文献

{"title":"Author Correction: Kyphoplasty with intravertebral reduction devices associated with better height restoration and greater kyphosis correction than kyphoplasty with balloons.","authors":"Chi-Jung Chiang, Jin-Wei Huang, Shu-Mei Chen, Jiann-Her Lin","doi":"10.1038/s41598-025-93093-3","DOIUrl":"https://doi.org/10.1038/s41598-025-93093-3","url":null,"abstract":"","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11101"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765102","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: Oxidative stress index-based scoring for prediction of long-term prognosis in patients with colorectal cancer with liver metastases.","authors":"Wei Li, Liming Shen, Qinglin Yang, Qun Zhang, Yinghao Cao, Tao Liu","doi":"10.1038/s41598-025-93645-7","DOIUrl":"https://doi.org/10.1038/s41598-025-93645-7","url":null,"abstract":"","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11139"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765105","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":"Biomechanical changes in females with poly cystic ovarian syndrome: a case-control study.","authors":"Eman E Kamal, Hamada A Hamada, Reda Sayed Ashour, Amel M Yousef, Rovan M Elbesh","doi":"10.1038/s41598-025-93481-9","DOIUrl":"https://doi.org/10.1038/s41598-025-93481-9","url":null,"abstract":"<p><p>Polycystic ovarian syndrome (PCOS) is a prevalent endocrine disorder that causes an inversion of the normal luteinizing hormone (LH) to follicle-stimulating hormone (FSH) ratio. Females with PCOS also experience chronic inflammation. This hormonal imbalance and persistent inflammation can reduce muscle strength and mass. Consequently, this may affect the lumbopelvic muscles, potentially leading to postural abnormalities and spinal misalignment. The study's goals were to find out how the biomechanics of women with PCOS differ from those who did not have the condition and to confirm the link between lumbopelvic parameters and the LH/FSH ratio in women with PCOS. The researcher conducted a case-control study on 95 nulliparous females, with 52 having PCOS and classified as a study group and 43 as a control group. The participants ranged in age from 25 to 35 years, and their body mass index ranged from 25 to 29.9 kg/m². All participants were selected from the gynecological outpatient clinic of Om El-Masryeen Hospital. The researcher used a pelvic inclinometer to evaluate the pelvic inclination angle and an inclinometer to examine the lumbar angle. Additionally, the researcher simultaneously collected blood samples on the third day of the menstrual cycle. Females with PCOS had significantly higher pelvic inclination and lumbar curve angles than controls (p < 0.05). LH/FSH ratio strongly correlated with lumbar angle and pelvic inclination. Females with PCOS had greater pelvic tilting and exaggerated lumbar lordosis than controls. The LH/FSH ratio showed a strong correlation with both the lumbar curve angle and pelvic inclination in PCOS.Clinical trial: The clinical trial number [NCT03740932] with initial release date at 09/17/2024.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11190"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765121","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":"Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept.","authors":"S Prabakaran, S Mary Praveena","doi":"10.1038/s41598-025-85149-1","DOIUrl":"https://doi.org/10.1038/s41598-025-85149-1","url":null,"abstract":"<p><p>The major prevalent primary bone cancer is osteosarcoma. Preoperative chemotherapy is accompanied by resection as part of the normal course of treatment. The diagnosis and treatment of patients are based on the chemotherapy reaction. Contrarily, chemotherapy without operation results in persistent cancer and an osteosarcoma regrowth. Thus, osteosarcoma patients should receive comprehensive therapy, which includes tumor-free surgery and global chemotherapy, to improve their survival. Hence, early diagnosis and individualized care of osteosarcoma are essential since they may lead to more effective therapies and higher survival rates. Here, the main goal of the recommended research is to use a unique deep learning approach to predict the osteosarcoma on histology images. Initially, the data is collected from the navigation confluence mobile osteosarcoma data of UT Southwestern/UT Dallas dataset. Next, the pre-processing of the collected images is accomplished by the Weiner filter technique. Further, the segmentation for the pre-processed images is done by the 2D Otsu's method. From the segmented images, the features are extracted by the linear discriminant analysis (LDA) approach. These extracted features undergo the final prediction phase that is accomplished by the novel improved recurrent gated recurrent unit (IGRU), in which the parameter tuning of GRU is accomplished by the osprey optimization algorithm (OOA) with the consideration of error minimization as the major objective function. On contrast with various conventional methods, the simulation findings demonstrate the effectiveness of the developed model in terms of numerous analysis.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11179"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765122","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":"Biomimetic propulsion system efficiency for unmanned underwater vehicle.","authors":"Piotr Szymak, Paweł Piskur, Rafał Kot, Krzysztof Naus, Daniel Powarzyński","doi":"10.1038/s41598-025-95702-7","DOIUrl":"https://doi.org/10.1038/s41598-025-95702-7","url":null,"abstract":"<p><p>This paper covers experimental research provided for Biomimetic Unmanned Underwater Vehicle (BUUV). The tests were conducted in a laboratory water tunnel equipped with a direct force-measured sensor and system for Particle Image Velocimetry (PIV) analysis. Different control parameters were tested, and then the generated thrust was compared with electric energy consumption. The main goal of the research is to develop a low hydroacoustic noise and high-energy efficiency propulsion system based on single, flexible fins. The final result is a set of Pareto optimal solutions, which makes it possible to draw more general conclusions on the design of the undulating propulsion system.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11086"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765124","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":"Comparing the strength of the confidence-accuracy versus response time-accuracy relationship for eyewitness identification.","authors":"Curt A Carlson, Robert F Lockamyeir, Maria A Carlson, Charles A Goodsell, Alyssa R Jones, Alex R Wooten, Zane T Brand","doi":"10.1038/s41598-025-96224-y","DOIUrl":"https://doi.org/10.1038/s41598-025-96224-y","url":null,"abstract":"<p><p>Research indicates that eyewitness identification (ID) accuracy increases with faster IDs and those supported with immediate high confidence, but it is not clear which measure, confidence or response time, is the better reflector of accuracy. It is also important to know how well these patterns hold up across important factors affecting eyewitness ID accuracy such as memory strength for the perpetrator's face. We conducted four pre-registered experiments to investigate these issues across different levels of target memory strength (via encoding time or image quality) and ID procedure (showups vs. lineups of different filler quality). Correct IDs were faster than false IDs regardless of memory strength, and this difference was greater for lineups than showups. There was a consistently strong positive CA relationship for those who made an ID, but the RTA relationship was significantly weaker. Both relationships were weaker for those who made a rejection decision, but the CA relationship remained stronger than the RTA relationship. We conclude that immediate confidence may be a more important reflector of accuracy than response time, regardless of the quality of the memory for the perpetrator's face.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11064"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765165","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":"Robust ensemble classifier for advanced synthetic aperture radar target classification in diverse operational conditions.","authors":"Noor Rahman, Muzammil Khan, Imran Khan, Jawad Khan, Youngmoon Lee","doi":"10.1038/s41598-025-93536-x","DOIUrl":"https://doi.org/10.1038/s41598-025-93536-x","url":null,"abstract":"<p><p>This paper presents an enhanced ensemble classification framework for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) under diverse operational conditions, including Standard Operating Conditions (SOC) and Extended Operating Conditions (EOC). The proposed method integrates the strengths of Residual Neural Networks (ResNet) replacing Convolutional Neural Networks (CNN), Support Vector Machines (SVM), and template matching, leveraging majority voting to combine their complementary capabilities. The ensemble framework achieves improved robustness and classification accuracy across varied scenarios. The methodology employs ResNet, a deep learning architecture known for its superior feature extraction and classification capabilities, replacing AlexNet to address limitations in generalization and consistency. ResNet demonstrated better performance with average accuracies of 92.67% under SOC and 88.9% under EOC, showing consistent results across all six target classes, as compared to the CNN-based ensemble approach with average accuracies of 90.30% under SOC and 87.22% under EOC. The SVM is employed for its robustness in handling overfitting and classifying features extracted from 16 region properties. Template matching is included for its resilience in challenging conditions where deep learning techniques may underperform. Experimental validation using the MSTAR dataset, a standard benchmark for SAR ATR, highlights the effectiveness of this ensemble approach. The results confirm significant improvements in classification accuracy and robustness over individual classifiers, demonstrating the practical applicability of the ensemble approach to real-world SAR ATR challenges. This research advances SAR ATR by addressing critical challenges, including noise, occlusion, and variations in viewing angles while achieving high classification performance under diverse conditions. The integration of ResNet further enhances the framework's adaptability and reliability.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11053"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765175","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":"Cross-sectional analysis of eating disorder risk and risk correlates in candidates for bariatric surgery from the BariPredict cohort.","authors":"Dana AlTarrah, Lulwa Al-Abdullah, Mohammed Alhusayan, Dulce Canha, Sulaiman Almazeedi, Ahmad Al-Serri, Maryam Abulhasan, Talia Alsomly, Naif Almutawa, Mohammed Al-Onaizi, Guy Fagherazzi, Fawaz Alzaid","doi":"10.1038/s41598-025-95614-6","DOIUrl":"https://doi.org/10.1038/s41598-025-95614-6","url":null,"abstract":"<p><p>Bariatric surgery is an effective intervention for managing obesity. Persons with obesity are a high-risk population for eating disorders (ED), and these can negatively impact perioperative and long-term outcomes of surgery. We aim to understand prevalence and correlates of ED in preintervention patients, identifying those needing psychological support. Baseline cross-sectional analysis of 275 patients of the BariPredict cohort (NCT06480058), a study to assess predictors of long-term surgery outcomes. Psychological assessments were conducted using SCOFF, KUAS, and BDI tools. Data were analyzed for prevalence of high ED risk and for associations of clinical, biological and demographic factors. Mean age was 38.5 years, mean BMI was 42.3 kg/m², with 62.5% being female. 65.8% of patients had a SCOFF score ≥ 2 indicating high ED risk. Class II obesity (p < 0.05), younger age (p < 0.01), and higher depression (p < 0.01) were associated with ED risk in a logistic regression adjusted for age, obesity class, diabetes, HbA1c, depression and anxiety scores. We report high preintervention prevalence of ED, with a risk profile corresponding to BMI of 35-39.9 Kg/m² in younger adults with concurrent depression. This patient profile should be prioritized for psychological assessment and support to potentially improve outcomes of bariatric surgery.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11191"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765190","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":"Double burden of malnutrition among under-five children in Eastern and Southern African countries.","authors":"Bereket Gebremichael, Admas Abera, Sibhatu Biadigilign, Kaleab Baye, Shao Jia Zhou, Demewoz Haile","doi":"10.1038/s41598-025-87144-y","DOIUrl":"https://doi.org/10.1038/s41598-025-87144-y","url":null,"abstract":"<p><p>There is limited evidence on the burden and drivers of the co-occurrence of overweight/obesity and undernutrition at the individual level in low- and middle-income countries. This gap hinders the design of double-duty actions (DDAs) that can effectively address all forms of malnutrition. This multi-country study aimed to determine the magnitude of double burden of malnutrition (DBM) among under five children and identify household and individual level determinants in Eastern and Southern Africa (ESA) countries. We pooled data of 79,394 children aged 6-59 months, collected from Demographic and Health Surveys (DHS) conducted in 12 ESA countries between 2013 and 2016. We identified confounders a priori. A random effect logistic regression was performed to identify factors associated with the co-occurrence of Stunting and Overweight (StOw), Overweight and Anemia (OwA), and Stunting Overweight and Anemia (StOwA). The study revealed that the burden of co-occurrence of StOwA, StOw, and OwA among under-five children were 5.38%; 95% confidence interval (CI) (5.00-5.79), 4.04 (95% CI: 3.86-4.23), and 5.72% (95% CI: 5.40-6.04), respectively. South Africa had the highest burden of co-occurrence of StOwA (15.58%) and OwA (22.30%), while Namibia and Burundi had the lowest StOwA (2.19%) and OwA (2.78%), respectively. Male children were more likely than female children to experience co-occurrence of StOwA [adjusted odds ratio (AOR) (95% CI): 1.96 (1.49-2.57)], OwA [AOR = 1.51: (95% CI) (1.22, 1.86)], and StOw [AOR = 1.59: (95% CI) (1.36, 1.87)]. Children from the poorest and poorer households had higher odds of co-occurrence of StOwA, OwA, and StOw compared to those from the richest households. Compared to children born to mothers with normal body mass index, those born to mothers with overweight/obese had 60% and 39% higher risk, whereas those born to mothers who were underweight had 49% and 36% lower risk of StOw and OwA, respectively. The DBM among children poses a significant public health and economic problem in ESA countries. The DDAs approach should be strengthened in the ESA region to address all forms of malnutrition.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11042"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765218","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":"An experimental study on the effects of electronic medicinal product information on vaccine hesitancy.","authors":"Jim Ingebretsen Carlson, Federico Puppo, Ana Roca-Umbert, Frans Folkvord, Francisco Lupiáñez-Villanueva","doi":"10.1038/s41598-025-96092-6","DOIUrl":"https://doi.org/10.1038/s41598-025-96092-6","url":null,"abstract":"<p><p>Although immunization through vaccination is one of the most successful public health interventions, coverage of some vaccination programs has decreased in recent years due to increased vaccine hesitancy. Cognitive biases have been shown to play an important role in affecting vaccine hesitancy. In this study, we conducted a randomized controlled trial (N = 2000, N = 1000 from Spain and N = 1000 from Bulgaria), where subjects were randomly assigned to one experimental condition. The experimental conditions differed by whether electronic product information (ePI) was presented to the subjects and by the type of information that was made more salient to the patient. The current study showed that the provision of digital information in the form of ePI has important consequences for achieving high vaccination rates. The main result suggests that providing vaccination information in the form of ePI can increase patients' vaccine hesitancy. This effect remained when positive and/or negative information in the ePI was made more salient to the patients. Additionally, we observe that vaccine hesitant individuals spend less time reading ePI. We conclude, by relating the current study to the relevant literature, that salience and information overload could be the main driver of vaccine hesitancy in the context of this study.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11197"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764447","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}