信息工程最新文献

{"title":"A targeted vaccination strategy: Integrating vaccines into biosafety, biosecurity, and one health initiatives","authors":"Laith N. AL-Eitan,&nbsp;Rabi A. Abu Khiarah,&nbsp;Diana L. Almahdawi","doi":"10.1016/j.jobb.2024.10.002","DOIUrl":"10.1016/j.jobb.2024.10.002","url":null,"abstract":"<div><div>Vaccination has saved millions of lives and is regarded as one of modern medicine’s most important successes. Effective vaccination programs should be based on risk assessment that considers demographic and occupational factors. When developing a vaccination program, it is essential to identify the target groups, including travelers, infants, high-risk workers, and those in critical roles such as farming and agriculture. In biosafety and biosecurity, vaccines are a key component of measures designed to protect laboratory personnel, the community, and the environment. Guidelines from global health organizations such as the Centers for Disease Control and Prevention are tailored to specific pathogens and depend on the type of work performed and the associated risk. These guidelines are continuously revised and updated to ensure the effectiveness of vaccination programs. Vaccines also play a role in One Health approaches that are focused on the interconnectedness of animals, humans, and the environment. Targeted vaccination strategies for both domestic animals and wildlife are necessary to maintain animal health, improve livestock productivity, and prevent the spread of zoonotic and foodborne diseases to humans. In this paper, we aimed to provide an overview regarding the crucial roles of vaccines in biosafety, biosecurity, and One Health approaches, as well as to highlight the importance of targeted and personalized strategies to improve the effectiveness of vaccination programs. Herein, we also discuss various vaccines aimed at specific target groups as recommended by global health organizations, with a particular emphasis on laboratory workers and the vaccines necessary to reduce laboratory-acquired infections. Finally, we discuss animal vaccines and targeted strategies for vaccinating domestic and wildlife populations.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"7 1","pages":"Pages 9-27"},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimation methods of reproduction numbers for epidemics of varying strains of COVID-19","authors":"Siying Xiong ,&nbsp;Shaojian Cai ,&nbsp;Fengying Wei ,&nbsp;Guangmin Chen ,&nbsp;Kuicheng Zheng ,&nbsp;Jianfeng Xie","doi":"10.1016/j.jobb.2024.10.003","DOIUrl":"10.1016/j.jobb.2024.10.003","url":null,"abstract":"<div><div>The estimation methods of reproduction numbers and serial intervals are important in the early stages of infectious diseases. During the COVID pandemic, China implemented a dynamic zero-COVID policy on the Chinese mainland until the end of 2022. This study compares three estimation methods of basic reproduction numbers on small-scale, short-duration COVID-19 epidemics in Fujian Province. Basic reproduction numbers were investigated using a varying-strain model via a next-generation matrix method. Serial intervals were derived using the infector–infectee pairs of two epidemics from the Fujian Provincial Center for Disease Control and Prevention. Basic reproduction numbers were estimated using the maximum likelihood estimation method and the exponential growth method. The curves of the effective reproduction numbers of the three epidemics were plotted by utilizing daily cases and the EpiEstim R package. The spatial heterogeneity of infection cases was described using the Gini coefficient. This study provides significant insights on the estimation methods of reproduction numbers for policymakers in the local government. The results reveal that social contacts between infectors and susceptible individuals should be reduced to avoid an increase in deaths and to fight against the spread of infectious diseases.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"6 4","pages":"Pages 265-270"},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-objective optimal trajectory planning for manipulators based on CMOSPBO","authors":"Tingting Bao,&nbsp;Zhijun Wu,&nbsp;Jianliang Chen","doi":"10.1007/s43684-024-00077-7","DOIUrl":"10.1007/s43684-024-00077-7","url":null,"abstract":"<div><p>Feasible, smooth, and time-jerk optimal trajectory is essential for manipulators utilized in manufacturing process. A novel technique to generate trajectories in the joint space for robotic manipulators based on quintic B-spline and constrained multi-objective student psychology based optimization (CMOSPBO) is proposed in this paper. In order to obtain the optimal trajectories, two objective functions including the total travelling time and the integral of the squared jerk along the whole trajectories are considered. The whole trajectories are interpolated by quintic B-spline and then optimized by CMOSPBO, while taking into account kinematic constraints of velocity, acceleration, and jerk. CMOSPBO mainly includes improved student psychology based optimization, archive management, and an adaptive <i>ε</i>-constraint handling method. Lévy flights and differential mutation are adopted to enhance the global exploration capacity of the improved SPBO. The <i>ε</i> value is varied with iterations and feasible solutions to prevent the premature convergence of CMOSPBO. Solution density estimation corresponding to the solution distribution in decision space and objective space is proposed to increase the diversity of solutions. The experimental results show that CMOSPBO outperforms than SQP, and NSGA-II in terms of the motion efficiency and jerk. The comparison results demonstrate the effectiveness of the proposed method to generate time-jerk optimal and jerk-continuous trajectories for manipulators.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00077-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multi-step regularity assessment and joint prediction system for ordering time series based on entropy and deep learning","authors":"Yichen Zhou,&nbsp;Wenhe Han,&nbsp;Heng Zhou","doi":"10.1007/s43684-024-00078-6","DOIUrl":"10.1007/s43684-024-00078-6","url":null,"abstract":"<div><p>Customer maintenance is of vital importance to the enterprise management. Valuable assessment and efficient prediction for customer ordering behavior can offer better decision-making and reduce business costs significantly. According to existing studies about customer behavior regularity segment and demand prediction most focus on e-commerce and other fields with large amount of data, making them not suitable for small enterprises and data features like sparsity and outliers are not mined when doing regularity quantification. Additionally, more and more complex network structures for demand prediction are proposed, which builds on the assumption that all the samples have predictive value, ignoring the fine-grained analysis of different time series regularity with high cost. To deal with the above issues, a multi-step regularity assessment and joint prediction system for ordering time series is proposed. For extracting features, comprehensive assessment of customer regularity based on entropy weight method with the result of predictability quantification using K-Means clustering algorithm, real entropy, LZW algorithm and anomaly detection adopting Isolation Forest algorithm not only gives an objective result to ‘how high the regularity of customers is’, filling the gap in the field of regularity quantification, but also provides a theoretical basis for demand prediction models selection. Prediction models: Random Forest regression, XGBoost, CNN and LSTM network are experimented with sMAPE and MSLE for performance evaluation to verify the effectiveness of the proposed regularity quantitation method. Moreover, a merged CNN-BiLSTM neural network model is established for predicting those customers with low regularity and difficult to predict by traditional machine leaning algorithms, which performs better on the data set compared to others. Random Forest is still used for prediction of customers with high regularity due to its high training efficiency. Finally, the results of prediction, regularity quantification, and classification are output from the intelligent system, which is capable of providing scientific basis for corporate strategy decision and has highly extendibility in other enterprises and fields for follow-up research.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00078-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142519061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transformative advances in veterinary laboratory practices: Evaluating the impact of preliminary training in Khyber Pakhtunkhwa and Balochistan provinces of Pakistan","authors":"Javed Khan ,&nbsp;Asghar Ali ,&nbsp;Shaukat Khan ,&nbsp;Murad Khan ,&nbsp;Saima Mohsin ,&nbsp;Cecelia Madsen","doi":"10.1016/j.jobb.2024.10.001","DOIUrl":"10.1016/j.jobb.2024.10.001","url":null,"abstract":"<div><div>Veterinary laboratories face distinct challenges in Pakistan, including inadequate infrastructure, resources, and training opportunities, especially in the Khyber Pakhtunkhwa and Balochistan regions. This study aimed to evaluate the impact of training sessions for veterinary laboratory staff to improve methods and protocols related to sample collection, storage, and transport, while ensuring strict compliance with biosafety and biosecurity guidelines. The study employed a mixed methods approach, incorporating qualitative and quantitative research techniques. Hands-on training, essential laboratory equipment, and a comprehensive training kit, including personal protective equipment (PPE), were provided to 13 laboratories within the Livestock and Dairy Development Departments of Khyber Pakhtunkhwa and Balochistan. A random sample of 152 individuals from a cohort of 314 trained personnel was selected to assess procedural changes post-training, supplemented by Training Needs Assessments (TNAs) and follow-up visits. Data collection involved a combination of open- and closed-ended questionnaires, individual interviews, and focus group discussions by trained enumerators to maintain a standardized approach. Significant improvements were observed in laboratory practices and procedures, staff competency in sample collection, necropsy techniques, labeling, storage, a chain of custody, packaging, and transport, as well as biosafety and biosecurity practices, such as effective use of PPEs, good laboratory practices, standard operating procedures, handling of sharps, and waste management. However, areas needing refinement, particularly waste management protocols, were identified. The integrated approach combining TNAs, training initiatives, and resource distribution, including laboratory equipment and PPEs, was pivotal in achieving these outcomes. This comprehensive strategy provides a basis for improving biosafety and biosecurity measures within laboratories, thereby contributing to the global effort to mitigate unauthorized access to high-risk pathogens.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"6 4","pages":"Pages 258-264"},"PeriodicalIF":0.0,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Life cycle assessment of metal powder production: a Bayesian stochastic Kriging model-based autonomous estimation","authors":"Haibo Xiao,&nbsp;Baoyun Gao,&nbsp;Shoukang Yu,&nbsp;Bin Liu,&nbsp;Sheng Cao,&nbsp;Shitong Peng","doi":"10.1007/s43684-024-00079-5","DOIUrl":"10.1007/s43684-024-00079-5","url":null,"abstract":"<div><p>Metal powder contributes to the environmental burdens of additive manufacturing (AM) substantially. Current life cycle assessments (LCAs) of metal powders present considerable variations of lifecycle environmental inventory due to process divergence, spatial heterogeneity, or temporal fluctuation. Most importantly, the amounts of LCA studies on metal powder are limited and primarily confined to partial material types. To this end, based on the data surveyed from a metal powder supplier, this study conducted an LCA of titanium and nickel alloy produced by electrode-inducted and vacuum-inducted melting gas atomization, respectively. Given that energy consumption dominates the environmental burden of powder production and is influenced by metal materials’ physical properties, we proposed a Bayesian stochastic Kriging model to estimate the energy consumption during the gas atomization process. This model considered the inherent uncertainties of training data and adaptively updated the parameters of interest when new environmental data on gas atomization were available. With the predicted energy use information of specific powder, the corresponding lifecycle environmental impacts can be further autonomously estimated in conjunction with the other surveyed powder production stages. Results indicated the environmental impact of titanium alloy powder is slightly higher than that of nickel alloy powder and their lifecycle carbon emissions are around 20 kg CO₂ equivalency. The proposed Bayesian stochastic Kriging model showed more accurate predictions of energy consumption compared with conventional Kriging and stochastic Kriging models. This study enables data imputation of energy consumption during gas atomization given the physical properties and producing technique of powder materials.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00079-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enabling efficient verification in a DApp: The case of copyright management","authors":"Pierpaolo Della Monica ,&nbsp;Matteo Fedeli ,&nbsp;Cristina Salonico ,&nbsp;Andrea Vitaletti ,&nbsp;Marco Zecchini","doi":"10.1016/j.bcra.2024.100234","DOIUrl":"10.1016/j.bcra.2024.100234","url":null,"abstract":"<div><div>The Interested Party Information (IPI) system uniquely identifies the rights holders worldwide, making it possible to know for each subject and at any time which rights are protected, by whom and for which territories. Currently, this service is provided in a centralized way but in 2021, the Italian Society of Authors and Editors (SIAE) deployed a blockchain-based solution to completely decentralize this database to (a) provide greater guarantees to the rights holders as well as end users and (b) make a first tangible step in the path towards an all in-chain solution decentralizing a relevant component of the current architecture. This solution relied on early versions of Algorand smart contracts, delegating some off-chain verification to trusted third parties in many practical scenarios. Moreover, the Algorand technology has developed new tools, allowing us to design new techniques to reduce some of the trust assumptions of the original solution and enhance its efficiency at the same time. In this paper, we present the evolution of the solutions we designed to issue new on-chain non-conflicting rights representations, namely representations that are consistent with those already available on-chain. Our solution relies on smart contracts that have been implemented to run our experiments to prove (a) the feasibility of the proposed approach, (b) the scalability of the proposed solutions, and (c) the sustainability in terms of costs.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"6 1","pages":"Article 100234"},"PeriodicalIF":6.9,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143101230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lessons for biosecurity education from the International Nuclear Security Education Network","authors":"Iris Magne ,&nbsp;Olivia Ibbotson ,&nbsp;Lijun Shang ,&nbsp;Malcolm Dando","doi":"10.1016/j.jobb.2024.09.002","DOIUrl":"10.1016/j.jobb.2024.09.002","url":null,"abstract":"<div><div>With the rapid advances in technology and life science, biological security is now at a defining moment. The mandate of the 2022 Biological and Toxin Weapons Convention 9th Review Conference emphasised the urgent need for new tools to strengthen the Convention. In this paper, we review the development and efforts of the International Nuclear Security Education Network (INSEN) to provide examples of best practice for implementation of the newly founded International Biological Security Education Network (IBSEN). Learning from the lessons of the INSEN, the sustainability of the network through continuous engagement of its members is essential for the further development of global biosecurity education.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"6 4","pages":"Pages 252-257"},"PeriodicalIF":0.0,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pre-training transformer with dual-branch context content module for table detection in document images","authors":"Yongzhi Li ,&nbsp;Pengle Zhang ,&nbsp;Meng Sun ,&nbsp;Jin Huang ,&nbsp;Ruhan He","doi":"10.1016/j.vrih.2024.06.003","DOIUrl":"10.1016/j.vrih.2024.06.003","url":null,"abstract":"<div><h3>Background</h3><div>Document images such as statistical reports and scientific journals are widely used in information technology. Accurate detection of table areas in document images is an essential prerequisite for tasks such as information extraction. However, because of the diversity in the shapes and sizes of tables, existing table detection methods adapted from general object detection algorithms, have not yet achieved satisfactory results. Incorrect detection results might lead to the loss of critical information.</div></div><div><h3>Methods</h3><div>Therefore, we propose a novel end-to-end trainable deep network combined with a self-supervised pretraining transformer for feature extraction to minimize incorrect detections. To better deal with table areas of different shapes and sizes, we added a dual-branch context content attention module (DCCAM) to high-dimensional features to extract context content information, thereby enhancing the network's ability to learn shape features. For feature fusion at different scales, we replaced the original 3×3 convolution with a multilayer residual module, which contains enhanced gradient flow information to improve the feature representation and extraction capability.</div></div><div><h3>Results</h3><div>We evaluated our method on public document datasets and compared it with previous methods, which achieved state-of-the-art results in terms of evaluation metrics such as recall and F1-score. <span><span>https://github.com/YongZ-Lee/TD-DCCAM</span><svg><path></path></svg></span></div></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"6 5","pages":"Pages 408-420"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Co-salient object detection with iterative purification and predictive optimization","authors":"Yang Wen,&nbsp;Yuhuan Wang,&nbsp;Hao Wang,&nbsp;Wuzhen Shi,&nbsp;Wenming Cao","doi":"10.1016/j.vrih.2024.06.002","DOIUrl":"10.1016/j.vrih.2024.06.002","url":null,"abstract":"<div><h3>Background</h3><div>Co-salient object detection (Co-SOD) aims to identify and segment commonly salient objects in a set of related images. However, most current Co-SOD methods encounter issues with the inclusion of irrelevant information in the co-representation. These issues hamper their ability to locate co-salient objects and significantly restrict the accuracy of detection.</div></div><div><h3>Methods</h3><div>To address this issue, this study introduces a novel Co-SOD method with iterative purification and predictive optimization (IPPO) comprising a common salient purification module (CSPM), predictive optimizing module (POM), and diminishing mixed enhancement block (DMEB).</div></div><div><h3>Results</h3><div>These components are designed to explore noise-free joint representations, assist the model in enhancing the quality of the final prediction results, and significantly improve the performance of the Co-SOD algorithm. Furthermore, through a comprehensive evaluation of IPPO and state-of-the-art algorithms focusing on the roles of CSPM, POM, and DMEB, our experiments confirmed that these components are pivotal in enhancing the performance of the model, substantiating the significant advancements of our method over existing benchmarks. Experiments on several challenging benchmark co-saliency datasets demonstrate that the proposed IPPO achieves state-of-the-art performance.</div></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"6 5","pages":"Pages 396-407"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}