Scientific Reports最新文献

{"title":"Damage identification based on the inner product matrix and parallel convolution neural network for frame structure.","authors":"Yingying He, Ji Feng, Baogang Sun, Feixue Wang, Likai Zhang, Jidi Jiang","doi":"10.1038/s41598-024-82058-7","DOIUrl":"https://doi.org/10.1038/s41598-024-82058-7","url":null,"abstract":"<p><p>Structural health monitoring based on vibration signal analysis has been extensively employed for damage identification. Mainstream machine learning techniques, such as convolutional neural networks (CNN), often rely on single-domain inputs, which may provide limited information for accurate damage identification. To overcome this limitation, this study proposes a novel approach that combines an inner product matrix (IPM) with a parallel CNN (IPM-PCNN) to extract multidimensional features for detecting structural damage in a steel frame structure. The proposed IPM-PCNN framework consists of a one-dimensional (1D) CNN branch for processing time series data, a two-dimensional (2D) CNN branch for handling structural modal data, and several fully connected layers. This unique combination leverages the strengths of both 1D and 2D CNNs to capture temporal and modal features of the signal effectively. To validate the effectiveness and superiority of the proposed method, a five-story steel frame model is used as the research object, and five comparative methods are evaluated under the same experimental conditions. The results demonstrate that the IPM-PCNN model can automatically extract relevant features from the signals to accurately identify structural damage, achieving an accuracy of 96.60% on the test set, outperforming machine learning methods in performance. Furthermore, the internal inference processes of these methods are explored and visualized to provide insights into their decision-making mechanisms.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30548"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855177","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":"Exploring latitudinal gradients and environmental drivers of amphipod biodiversity patterns regarding depth and habitat variations.","authors":"Farzaneh Momtazi, Hanieh Saeedi","doi":"10.1038/s41598-024-83314-6","DOIUrl":"https://doi.org/10.1038/s41598-024-83314-6","url":null,"abstract":"<p><p>Amphipods are known as umbrella species in conservation biology that their protection indirectly protects other species. Recent hypotheses suggest a bimodal latitudinal global species richness pattern for amphipods, irrespective of species' depth or habitat type. Phylogeographic hypotheses suggested two distinct procedures for amphipod diversification: ecological radiation and Pangea fragmentation. This study aimed to revisit the bimodal latitudinal pattern of species richness for amphipods, investigate similarities in species composition and main environmental amphipod distribution drivers regarding their depth and habitat variations. The comprehensive database was collected from open-access data and a personal sampling database from the Persian Gulf and the Gulf of Oman. After rigorous data quality controls, the final dataset comprised 1,142,416 distribution records of 6,424 accepted marine amphipod species distributed from 0 to 10,900 m depth. All the species were grouped into pelagic and benthic, shallow-water (> 200 m), and deep-sea (< 200 m). Alpha and gamma species richness and the expected number of species per 50 random samples (ES50) were calculated. Our findings showed that species richness patterns in amphipods are shaped not only by habitat types but also by depth, and they are not significantly bimodal in all groups. Also, the Beta diversity of benthic species revealed distinct diversification patterns between benthic and pelagic species. The species similarity clusters revealed a fragmentation between Gondwana and Laurasia for shallow benthic species. However, the similarity between pelagic amphipod communities is more compatible with ecological parameters. Generalized Additive Models (GAMs) highlighted that environmental variables play a significant role in species distributions, for example, temperature and chlorophyll levels were the main predictors of species richness in shallow waters. However, a complete effect of multiple environmental variables is responsible for deep-sea species gradients. These findings are crucial information to be considered when managing the species richness and establishing conservation priorities for their habitats.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30547"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855202","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":"Modelling the transformation of energy-intensive industries based on site-specific investment decisions.","authors":"Marius Neuwirth, Tobias Fleiter, René Hofmann","doi":"10.1038/s41598-024-78881-7","DOIUrl":"https://doi.org/10.1038/s41598-024-78881-7","url":null,"abstract":"<p><p>The transition towards climate-neutral industry is a challenge, particularly for heavy industries like steel and basic chemicals. Existing models for assessing industrial transformation often lack spatial resolution and fail to capture individual investment decisions. Consequently, the spatial interplay between industry transformation, energy availability, infrastructure availability, and the dynamics of discrete investments is inadequately addressed. Here we present a site-specific approach that considers individual industrial sites to simulate discrete investment decisions. The investment decision is modelled as a discrete choice among alternative technologies with their total cost of ownership as the main decision criterion. Process costs depend on the scenario-specific assumptions, such as energy carrier prices, policy instruments and local infrastructures. The age of production units and their reinvestment cycles are considered the main restrictions on the dynamics of the transition. The results provide high spatial resolution to capture the spatial and temporal dynamics of industry transition under varying process and policy assumptions. The presented model and its results can be coupled with energy system models to assess the implications of site-specific industry transition on energy system related research questions. We conduct an exemplary case study for a transformation pathway of the European primary steel production.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30552"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855186","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":"Media dependency, platform-swinging, and psychological depression among young college students in the polymedia environment.","authors":"Jian Wangqu, Zelin Xue, Linlin Chen","doi":"10.1038/s41598-024-82303-z","DOIUrl":"https://doi.org/10.1038/s41598-024-82303-z","url":null,"abstract":"<p><p>As a comprehensive and affordable environment, polymedia lays the groundwork for exploring platform-swinging and offers a theoretical framework for investigating its dynamics. Platform-swinging and its unique niche characteristics provide a novel lens to examine the interplay between media dependency and psychological well-being. Using a survey questionnaire, this study collected data from 1210 university students in the Yangtze River Delta, China's most economically developed region, to examine the relationship between media dependency, platform-swinging, and psychological depression. Our findings suggest that the affordances of platform-swinging influence media dependency, whereas the nature of media dependency shapes psychological depression. This study contributes to a deeper understanding of how young adults navigate various media platforms and sheds light on the complex interrelations between media use and mental health. Focusing on platform-swinging in the environment of polymedia explores the relationship between media dependency, platform-swinging, and psychological depression. Moreover, it also compensates for the one-sided understanding caused by simply examining media dependency and psychological depression. This study has practical value and theoretical significance for the psychological health of college students and the research and development of the media dependency theory.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30539"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855235","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":"Using population register data and capture-recapture models to estimate over-coverage in Sweden.","authors":"Bruno Santos, Eleonora Mussino, Sven Drefahl, Eleni Matechou","doi":"10.1038/s41598-024-82547-9","DOIUrl":"https://doi.org/10.1038/s41598-024-82547-9","url":null,"abstract":"<p><p>Over-coverage occurs when individuals who reside in a country leave or pass away, and this demographic event is not recorded in population registers, leading to population size overestimation. This problem can have important policy and decision-making consequences. With the increased reliance on incomplete but overlapping official registers for documenting whole populations or subgroups of populations, there is a need for more sophisticated modelling techniques that reliably estimate population size, and hence over-coverage, from such registers. Previous approaches have considered multiple systems estimation (MSE) for monitoring over-coverage, but MSE does not naturally extend to cases where individuals are followed over time. In this paper, motivated by the case study of Sweden, we develop a capture-recapture (CR) modelling framework for population registers that allows us to estimate the population size each year, the probability of presence for each individual in the population, conditional on their records, each year and to quantify the effect of demographic characteristics on the probability of emigration and re-immigration, amongst other parameters. Our results suggest that the CR approach, which accounts for the whole time series for each individual, gives a more realistic estimate of the population size compared to existing, deterministic approaches, especially when considering the subgroup of newly arrived individuals, and that it provides new insights on individual behaviour in terms of migration patterns than existing MSE approaches.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30551"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855305","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":"Psychometric validation of the Vaccination Attitudes Examination (VAX) scale in German pre-pandemic and mid-pandemic samples.","authors":"Marcel Wilhelm, Friederike L Bender, Frank Euteneuer, Stefan Salzmann, Anne-Catherine I Ewen, Winfried Rief","doi":"10.1038/s41598-024-82726-8","DOIUrl":"https://doi.org/10.1038/s41598-024-82726-8","url":null,"abstract":"<p><p>Despite the public health value of immunizations, vaccine hesitancy is a widespread phenomenon and received special attention during the global COVID-19 pandemic. The Vaccination Attitudes Examination (VAX) Scale aims to identify anti-vaccination attitudes for understanding vaccine hesitancy. The present study is the validation of the German version of the VAX scale in pre-/mid-pandemic samples. All individuals completed an online-survey assessing prior and expected future vaccination behaviors, further constructs associated with vaccine hesitancy, as well as anti-vaccination attitudes using the translated VAX scale among others. In a first study, 297 individuals were surveyed before the COVID-19 pandemic. A second study included 260 individuals recruited during the COVID-19 pandemic. For validation, two confirmatory factor analyses have been conducted. Reliability measures (internal consistency, test-retest-correlation) were determined. The four subscales were confirmed by Confirmation Factor Analysis with a very good to excellent fit. The subscales showed good to excellent reliability and convergent validity determinants. Average VAX values significantly distinguished between individuals who had previously received or refused immunization and predicted expected vaccination behavior. The German translation of the VAX scale is effective in identifying anti-vaccination attitudes and can be used for further research on anti-vaccination attitudes and vaccine hesitancy.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30543"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855192","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":"Sardinian deer increase feeding diversity within sheltering vegetation in a fragmented Mediterranean landscape.","authors":"Sabine Aboling, Fahad Ahmed, Gunnar Kreisel, Josef Kamphues, Maria Grazia Cappai","doi":"10.1038/s41598-024-80818-z","DOIUrl":"https://doi.org/10.1038/s41598-024-80818-z","url":null,"abstract":"<p><p>This study was carried out to investigate the feeding behavior of Sardinian deer roaming within a site of community interest (SCI, ITB042250), on Sardinian Island (39° 51' N 8° 45' E). Crop fields bordering the natural environment (wood forest and Mediterranean macchia, where the reserve of Sardinian deer partly overlaps) were monitored and turned into a living lab. The interest on wildlife-related crop damage poses a significant economic challenge, while anthropogenic pressures, such as urbanization and agricultural practices, increasingly impact wildlife by limiting habitat, feeding source diversity and access, and space distribution. In view of this, dietary habits of a group of 25 Sardinian deer (Cervus elaphus corsicanus Erxleben, 1777) were studied over an area of 45 hectares, in spring and autumn over two consecutive years. Within six representative sites (habitats) of investigation (SOI = 3 ha), two transects of 20 × 10 m per SOI, amounting to 240 m², served as parts of these sites, respectively, and were analyzed as to floristic composition and dominating plants. The number of freshly browsed/grazed plants by missing shoots was counted and assumed as signs of foraging activity of the Sardinian deer. The evenness of the dietary preference per habitat was calculated with the number of missing shoots and the number of plant species selected. The Mediterranean macchia accounted for the highest species (n = 76); crop field the fewest species (n = 19). Plants showing foraging signs by Sardinian deer ranged between n. 5 out of 46 species (10.9%) in the fallow and n. 6 out of 19 species (31.6%) in the crop field. Complementary feeding based on the availability of floristic diversity revealed to align to the typical foraging behavior of intermediate feeder in all SOIs: the higher the species, the higher the number of foraged species (ρ = 0.86). Sardinian deer foraged on n. 35 out of 129 plant species present (27.1%) within the whole transect area. Data highlight two feeding behavior: 1)high evenness-feeding (less foraging on high number of plant species, respectively: fallow, crop field, macchia border); 2) low evenness-feeding (large foraging on few species, Avena or Cytisus: field, bordering both macchia and fallow, macchia).The Sardinian deer fed on every SOI, with highest consumption in the macchia and least in oat open field. The feeding behavior of Sardinian deer confirms the ability to adapt to the varying vegetation in each habitat, respectively, by seeking energy and nutrients on the one hand and shelter on the other, by limiting the preference for crop field center.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30544"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855272","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":"Decoding skin cancer classification: perspectives, insights, and advances through researchers' lens.","authors":"Amartya Ray, Sujan Sarkar, Friedhelm Schwenker, Ram Sarkar","doi":"10.1038/s41598-024-81961-3","DOIUrl":"https://doi.org/10.1038/s41598-024-81961-3","url":null,"abstract":"<p><p>Skin cancer is a significant global health concern, with timely and accurate diagnosis playing a critical role in improving patient outcomes. In recent years, computer-aided diagnosis systems have emerged as powerful tools for automated skin cancer classification, revolutionizing the field of dermatology. This survey analyzes 107 research papers published over the last 18 years, providing a thorough evaluation of advancements in classification techniques, with a focus on the growing integration of computer vision and artificial intelligence (AI) in enhancing diagnostic accuracy and reliability. The paper begins by presenting an overview of the fundamental concepts of skin cancer, addressing underlying challenges in accurate classification, and highlighting the limitations of traditional diagnostic methods. Extensive examination is devoted to a range of datasets, including the HAM10000 and the ISIC archive, among others, commonly employed by researchers. The exploration then delves into machine learning techniques coupled with handcrafted features, emphasizing their inherent limitations. Subsequent sections provide a comprehensive investigation into deep learning-based approaches, encompassing convolutional neural networks, transfer learning, attention mechanisms, ensemble techniques, generative adversarial networks, vision transformers, and segmentation-guided classification strategies, detailing various architectures, tailored for skin lesion analysis. The survey also sheds light on the various hybrid and multimodal techniques employed for classification. By critically analyzing each approach and highlighting its limitations, this survey provides researchers with valuable insights into the latest advancements, trends, and gaps in skin cancer classification. Moreover, it offers clinicians practical knowledge on the integration of AI tools to enhance diagnostic decision-making processes. This comprehensive analysis aims to bridge the gap between research and clinical practice, serving as a guide for the AI community to further advance the state-of-the-art in skin cancer classification systems.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30542"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855179","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":"Ensemble deep learning and EfficientNet for accurate diagnosis of diabetic retinopathy.","authors":"Lakshay Arora, Sunil K Singh, Sudhakar Kumar, Hardik Gupta, Wadee Alhalabi, Varsha Arya, Shavi Bansal, Kwok Tai Chui, Brij B Gupta","doi":"10.1038/s41598-024-81132-4","DOIUrl":"https://doi.org/10.1038/s41598-024-81132-4","url":null,"abstract":"<p><p>Diabetic Retinopathy (DR) stands as a significant global cause of vision impairment, underscoring the critical importance of early detection in mitigating its impact. Addressing this challenge head-on, this study introduces an innovative deep learning framework tailored for DR diagnosis. The proposed framework utilizes the EfficientNetB0 architecture to classify diabetic retinopathy severity levels from retinal images. By harnessing advanced techniques in computer vision and machine learning, the proposed model aims to deliver precise and dependable DR diagnoses. Continuous testing and experimentation shows to the efficiency of the architecture, showcasing promising outcomes that could help in the transformation of both diagnosing and treatment of DR. This framework takes help from the EfficientNet Machine Learning algorithms and employing advanced CNN layering techniques. The dataset utilized in this study is titled 'Diagnosis of Diabetic Retinopathy' and is sourced from Kaggle. It consists of 35,108 retinal images, classified into five categories: No Diabetic Retinopathy (DR), Mild DR, Moderate DR, Severe DR, and Proliferative DR. Through rigorous testing, the framework yields impressive results, boasting an average accuracy of 86.53% and a loss rate of 0.5663. A comparison with alternative approaches underscores the effectiveness of EfficientNet in handling classification tasks for diabetic retinopathy, particularly highlighting its high accuracy and generalizability across DR severity levels. These findings highlight the framework's potential to significantly advance the field of DR diagnosis, given more advanced datasets and more training resources which leads it to be offering clinicians a powerful tool for early intervention and improved patient outcomes.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30554"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855199","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":"Retraction Note: Prioritizing customer and technical requirements for microgrid battery integration via a house of quality-driven decision-making approach.","authors":"Hasan Dinçer, Serhat Yüksel, Serkan Eti, Yaşar Gökalp, Alexey Mikhaylov, Jaehyung An","doi":"10.1038/s41598-024-83370-y","DOIUrl":"https://doi.org/10.1038/s41598-024-83370-y","url":null,"abstract":"","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30540"},"PeriodicalIF":3.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855246","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}