检索结果-内蒙古大学图书馆

OCEANS

作者： Francisco Bravo Joana Amorim Melika Besharati Amirkandeh Peter Bodorik Vitor Cerqueira Nuno R.C. Gomes Jennie Korus Mariana Oliveira Marianne Parent João Pimentel Derek Reilly Tyler Sclodnick Jon Grant Ramón Filgueira Christopher Whidden Luis Torgo Facultad de Ingenieria y Ciencias Universidad Adolfo Ibañez Santiago Chile Faculty of Computer Science Dalhousie University Halifax Canada Faculty of Engineering University of Porto Portugal Institut d 'Estudis Espacials de Catalunya (IEEC) Barcelona Spain Innovasea Marine Systems Bedford Canada Department of Health Management and Centre for Veterinary Epidemiological Research (CVER) Atlantic Veterinary College University of Prince Edward Island Charlottetown Canada Department of Oceanography Dalhousie University Halifax Canada Marine Affairs Program Dalhousie University HalifaxZ Canada Deceased

ISBN: (数字)9798331540081

ISBN: (纸本)9798331540098

The aquaculture industry faces significant challenges related to sustainability, productivity, and fish welfare. Key issues include managing environmental conditions, disease, pests, and data integration from various sensors and monitoring systems. The BigFish project aims to address these challenges through advanced analytics and machine learning, focusing on three case studies in Atlantic salmon farms: predicting oxygen levels, reducing sea lice infestations, and improving data interaction and visualization. Predictive models for oxygen levels and sea lice infestation, as well as natural language interfaces for data visualization, demonstrate the potential for improved decision-making and management practices in aquaculture. Early results indicate the effectiveness of these approaches, highlighting the importance of data-driven solutions in enhancing industry sustainability and productivity.

关键词： Productivity Oceans Data visualization Machine learning Predictive models Fish Sensor systems Sensors Sustainable development Aquaculture

来源：评论

学校读者我要写书评

暂无评论

Influences of key factors on river water quality in urban and rural areas: A review

引用

Case Studies in Chemical and Environmental engineering 2023年 8卷

作者： Anh, Nguyen Tuan Can, Le Duy Nhan, Nguyen Thi Schmalz, Britta Luu, Tran Le Doctoral Training Program in Sustainable Urban Development Vietnamese German University Viet Nam Nong Lam University of Ho Chi Minh City Gia Lai Campus Viet Nam Department of Mechatronics and Sensor Systems Technology Vietnamese German University Vanh Dai 4 Quarter 4 Thoi Hoa Ward Ben Cat Binh Duong Province Viet Nam Master Program in Water Technology Reuse and Management Vietnamese German University Vanh Dai 4 Quarter 4 Thoi Hoa Ward Ben Cat Binh Duong Province Viet Nam Chair of Engineering Hydrology and Water Management Technical University of Darmstadt Germany

Water quality in rivers is deteriorating in urban and rural areas due to natural and anthropogenic factors. Understanding how changes and factors affect river water quality is crucial for managing water quality in river basins. This review focuses on analyzing key factors affecting water quality, and the temporal and spatial variations of water quality in rivers flowing in rural and urban areas. Natural processes such as weathering of rocks, evapotranspiration, atmospheric deposition, climate change, and natural disasters cause changes in the quality of river water. Anthropogenic factors could stem from industrial effluents, domestic activities, and agricultural activities such as the application of fertilizers, manures, pesticides, animal husbandry activities, irrigation practices, deforestation, and aquaculture. The seasonal variations in river water quality are discussed, and land use or cover could affect water quality parameters in a negative or positive way. In addition to traditional contaminants such as biodegradable organic matter, heavy metals, and pathogens, emerging and persistent pollutants such as organochlorine pesticides (OCPs), polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), perfluoroalkyl and polyfluoroalkyl substances (PFASs), and phamaceutic active compounds (PhACs) has been found in many rivers, which could pose a threat to human and animal health. The comparison of key factors and parameters in urban and rural areas is also clarified, which provides authorities and policymakers with a deep understanding and supports decision-making in sustainable water management. © 2023 The Authors

关键词： River basin River water quality Rural areas Urban areas Water pollution

来源：评论

学校读者我要写书评

暂无评论

Influencing turnover intention among building information modeling (BIM) Workers in China: A structural equation modeling approach

引用

Acta Psychologica 2025年 257卷 105121页

作者： Wei, Wei Prasetyo, Yogi Tri Benito, Omar Paolo Cahigas, Maela Madel L. Nadlifatin, Reny Gumasing, Ma. Janice J. School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines 658 Muralla St. Intramuros Manila 1002 Philippines School of Graduate Studies Mapúa University Manila Philippines 658 Muralla St. Intramuros Manila 1002 Philippines Hulunbuir University No. 26 Middle Genghis Khan Road Nei Mongol Hulunbuir China International Bachelor Program in Engineering Yuan Ze University 135 Yuan-Tung Road Chung-Li 32003 Taiwan Department of Industrial Engineering and Management Yuan Ze University 135 Yuan-Tung Road Chung-Li 32003 Taiwan Department of Information Systems Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya 60111 Indonesia Department of Industrial and Systems Engineering Gokongwei College of Engineering De La Salle University Manila 1004 Philippines

Building Information Modeling (BIM) has become integral to modern construction management in China, yet its successful implementation has been hindered by a shortage of skilled BIM personnel and high turnover rates. This study investigates the key factors influencing turnover intention among BIM workers in China through a structural equation modeling (SEM) approach. Survey data were collected from 558 BIM practitioners and researchers across various regions in China. The SEM results revealed that three work-related factors—management and staff cooperation, working hours, and satisfaction with salary and incentives—significantly affected BIM workers' turnover intentions. Notably, the influence of these factors on turnover intention was fully mediated by two pivotal attitudinal variables: job satisfaction and organizational commitment. Among the predictors, excessive working hours emerged as the most salient driver heightening turnover intention, whereas strong team cooperation and competitive, fair rewards reduce the propensity to leave by enhancing worker satisfaction and commitment. The integrated model developed in this research advances understanding of BIM workforce retention and can be generalized to similar project-based contexts. The findings provide an evidence-based foundation for policymakers and industry leaders to devise strategies (e.g., improving working conditions, strengthening organizational support) aimed at increasing job satisfaction and commitment, thereby mitigating turnover intention among BIM workers. © 2025 The Authors

关键词： Chinese Job satisfaction management and staff cooperation Organizational commitment Salary and incentives Turnover Working hours

来源：评论

学校读者我要写书评

暂无评论

Citizen science in environmental and ecological sciences

NATURE REVIEWS METHODS PRIMERS

引用

NATURE REVIEWS METHODS PRIMERS 2022年第1期2卷 1-20页

作者： Morneau, Dominique Novel Data Ecosystems for Sustainability Research Group Advancing Systems Analysis Program International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria Centre d’écologie et des sciences de la conservation Muséum national d’Histoire naturelle Paris France Faculté de droit Université de Namur Namur Belgium Citizen Science Lab Leiden University Leiden Netherlands Department of Mechanical Engineering University of Bath Bath UK Nordic Foundation for Development and Ecology (NORDECO) Copenhagen Denmark Department of Biology Brandeis University Waltham MA USA Ornamental Plant Pathology Department of Plant Pathology Puyallup Research and Extension Center Washington State University Puyallup WA USA Environmental and Sustainability Participatory Information Systems Group Institute of Marine Sciences (ICM-CSIC) Barcelona Spain Electron Microscopy Science Technology Platform The Francis Crick Institute London UK Departamento de Biologia Marina Facultad Ciencias del Mar Universidad Católica del Norte Coquimbo Chile Millennium Nucleus Ecology and Sustainable Management of Oceanic Island (ESMOI) Coquimbo Chile Centro de Estudios Avanzados en Zonas Áridas (CEAZA) Coquimbo Chile Department of Geography University College London (UCL) London UK

This PrimeView highlights the utility of citizen science across a range of ecological and environmental science research.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Meteorological data implications modeling on evapotranspiration variability in arid and semi-arid zones in Saudi Arabia using hybrid metaheuristic

引用

Scientific Reports 2025年第1期15卷 1-22页

作者： Noureddine, Oulad Naoui Mohamed, Sekkoum El Amine, Cherif Alzaed, Ali Gedfew, Meseret Abeje Ghoneim, Sherif S. M. Hussein, Enas E. Materials Energy Systems Technology and Environment Laboratory Department of Hydraulic and Civil Engineering University Ghardaia Bounoura Algeria Department of Civil Engineering Faculty of Civil Engineering and Architecture Amar Telidji University P. O. Box 37.G Laghouat 03000 Algeria Water Management and Treatment Laboratory University of Science and Technology of Oran Mohamed Boudiaf B.P. 1505 El M’Naouer Oran Algeria Architectural Engineering Program - Civil Engineering Department Faculty of Engineering Taif University Taif 21944 Saudi Arabia Department of Civil Engineering Faculty of Technology Debre Markos University P. O. Box 269 Debre Markos Ethiopia Department of Electrical Engineering College of Engineering Taif University Taif 21944 Saudi Arabia Water Management Research Institute National Water Research Center Shubra El-Kheima 13411 Egypt

This work is unique and contributes new knowledge to the field whereas it involves introducing a new method based on coupling two or three stochastic models, analyzing new data represented by drought and flooding risk relationship, and addressing a previously unexplored research question: Can we make a decision regarding future evapotranspiration-flooding risk relationship? In this paper, the Bat algorithm (BAT) with the Newton Method (NM), Bird Swarm Algorithm (BSA), Genetic Algorithm (GA), and Chicken Swarm Optimization Algorithm (CSO) are used as a hybrid model in arid and semi-arid zones in Saudi Arabia as well as for modeling rainfall, temperature, and solar radiation implications on evapotranspiration variability. Coupling between aridity and evapotranspiration over a long time can create flooding risks. This holistic modeling aims to reduce flooding risks and ensure the desired decision. Several models were employed to simulate some basins’ Potential and Actual evapotranspiration as case studies. The meteorological inputs of the hybrid models were calibrated and validated with metric evaluation for input and output of evapotranspiration, respectively. The results suggest that the application of a hybrid model can improve the accuracy of evapotranspiration simulations in terms of statistical parameters, whereas BAT–GA–NM reduced MAPE from 38.88 to 4.16% for Mekkah and from 14.94 to 2.04% for Medina and NSCE from − 0.17 to 0.97 for Mekkah and from 0.82 to 0.99%. Those parameters will provide a better understanding of evapotranspiration processes in watersheds and valuable information for early warnings of flooding risks. © The Author(s) 2025.

关键词： Evapotranspiration Hybrid metaheuristic Modeling Rainfall Solar radiation data Temperature

来源：评论

学校读者我要写书评

暂无评论

Moderating effects of out-of-hospital cardiac arrest characteristics on the association between EMS response time and survival

引用

Resuscitation 2021年第0期169卷 31-38页

作者： Stoesser, Clara E. Boutilier, Justin J. Sun, Christopher L.F. Brooks, Steven C. Cheskes, Sheldon Dainty, Katie N. Feldman, Michael Ko, Dennis T. Lin, Steve Morrison, Laurie J. Scales, Damon C. Chan, Timothy C.Y. Departmentof Mechanical and Industrial Engineering University of Toronto Toronto ON Canada Departmentof Industrial and Systems Engineering University of Wisconsin – Madison Madison WI United States SloanSchool of Management Massachusetts Institute of Technology Cambridge MA United States LiKa Shing Knowledge Institute St. Michael's Hospital Unity Health Toronto Toronto ON Canada Departmentsof Emergency Medicine and Public Health Sciences Queen's University Kingston ON Canada Departmentof Family and Community Medicine Division of Emergency Medicine University of Toronto Toronto ON Canada SunnybrookCenter for Prehospital Medicine Toronto ON Canada Instituteof Health Policy Management and Evaluation (IHPME) University of Toronto Toronto ON Canada NorthYork General Hospital Toronto ON Canada Institutefor Clinical Evaluation Sciences Toronto ON Canada SchulichHeart Program Sunnybrook Health Sciences Centre Toronto ON Canada Departmentof Medicine University of Toronto Toronto ON Canada Interdepartmental Division of Critical Care Medicine University of Toronto Toronto ON Canada HealthcareSystems Engineering Massachusetts General Hospital Boston MA United States

Background: Although several Utstein variables are known to independently improve survival, how they moderate the effect of emergency medical service (EMS) response times on survival is unknown. Objectives: To quantify how public location, witnessed status, bystander CPR, and bystander AED shock individually and jointly moderate the effect of EMS response time delays on OHCA survival. Methods: This retrospective cohort study was a secondary analysis of the Resuscitation Outcomes Consortium Epistry-Cardiac Arrest database (December 2005 to June 2015). We included all adult, non-traumatic, non-EMS witnessed, and EMS-treated OHCAs from eleven sites across the US and Canada. We trained a logistic regression model with standard Utstein control variables and interaction terms between EMS response time and the four aforementioned OHCA characteristics. Results: 102,216 patients were included. Three of the four characteristics – witnessed OHCAs (OR = 0.962), bystander CPR (OR = 0.968) and public location (OR = 0.980) – increased the negative effect of a one-minute delay on the odds of survival. In contrast, a bystander AED shock decreased the negative effect of a one-minute response time delay on the odds of survival (OR = 1.064). The magnitude of the effect of a one-minute delay in EMS response time on the odds of survival ranged from 1.3% to 9.8% (average: 5.3%), depending on the underlying OHCA characteristics. Conclusions: Delays in EMS response time had the largest reduction in survival odds for OHCAs that did not receive a bystander AED shock but were witnessed, occurred in public, and/or received bystander CPR. A bystander AED shock appears to be protective against a delay in EMS response time. © 2021 Elsevier B.V.

关键词： Emergency medical services Out-of-hospital cardiac arrest Public health Response time

来源：评论

学校读者我要写书评

暂无评论

TBI Score - use of a mobile score system to aid the diagnosis of tuberculosis in children in Brazil

引用

Procedia Computer Science 2022年 196卷 493-500页

作者： Filipe Andrade Bernardi Vinicius Costa Lima Danilo Maglio Sampaio Marcelo Cordeiro dos Santos Rui Pedro Charters Lopes Rijo Domingos Alves Bioengineering Postgraduate Program University of São Paulo São Carlos Brazil Ribeirao Preto Medical School University of Sao Paulo Ribeirao Preto Brazil Carlos Borborema Clinical Research Institute Dr. Heitor Vieira Dourado Foundation for Tropical Medicine Manaus Brazil Tropical Medicine Postgraduate Program Amazonas State University Manaus Brazil School of Technology and Management Polytechnic Institute of Leiria Leiria Portugal INESCC - Institute for Systems and Computers Engineering at Coimbra Coimbra Portugal Center for Research in Health Technologies and Services (CINTESIS) Faculty of Medicine University of Porto Porto Portugal

Tuberculosis (TB) is a bacterial infectious disease that mainly affects the lungs and remains as one of the biggest public health problems in the world. The treatment methods currently available can cure almost all cases. Due to the difficulty of bacteriological confirmation of TB in children, the Brazilian Ministry of Health recommended the use of a scoring system for the diagnosis of pulmonary TB in childhood, covering aspects of clinical, radiological and epidemiological data. The general objective of this work is the development and availability of a mobile application based on the score described in the Manual of Recommendations for TB Control in Brazil. The application was organized to make the questionnaire flow linear, while maintaining the accordance with the structure presented in the manual. The score adapted to the Brazilian context allows health professionals to underpin their decisions with reliable information.

关键词： childhood tuberculosis digital health mobile applications public health

来源：评论

学校读者我要写书评

暂无评论

Iterated greedy local search for the order picking problem considering storage location and order batching decisions

引用

Transportation Research Part E: Logistics and Transportation Review 2025年 201卷

作者： Huerta-Muñoz, Diana L. Ríos-Mercado, Roger Z. López-Pérez, Jesús F. Graduate Program in Systems Engineering Department of Mechanical and Electrical Engineering Universidad Autónoma de Nuevo León San Nicolás de los Garza Mexico Graduate Program in Electrical Engineering Department of Mechanical and Electrical Engineering Universidad Autónoma de Nuevo León San Nicolás de los Garza Mexico Department of Business Management and Public Accounting Universidad Autónoma de Nuevo León San Nicolás de los Garza Mexico College of Business Texas A&M International University Laredo United States

Order picking is the process of collecting products from a specific location to complete customer orders. Two related activities that affect the order picking are the storage location of products and the order batching. In the first, the decision is where to place items arriving at the warehouse and, in the second, the decision is to group multiple customer orders into a single batch. Although these three decisions are typically addressed separately, their integration may result in an enhanced decision-making process. We study an integrated picking problem that considers these three decisions simultaneously. The aim is to obtain the best storage location of products, order batching, and picking routing that minimizes the total picking routing cost. We propose a mathematical model and an iterated greedy local search metaheuristic. The proposed approaches were assessed on pseudo-real and real-world instances. The results show that the mathematical model, solved using a general-purpose optimization solver, can generate feasible solutions for instances with up to 100 order lines in approximately 14 400 s. In contrast, the proposed metaheuristic efficiently solves instances with up to 8197 order lines in less than 4200 s, achieving improvement gaps of up to 87.2% for artificial instances. For real-world instances, the improvement reaches up to 56% compared to the solver results. An analysis was conducted under different demand scenarios showing that the metaheuristic obtained the best performance in most of the cases. © 2025 Elsevier Ltd

关键词： Integer programming

来源：评论

学校读者我要写书评

暂无评论

A Cybersecurity Detection Platform Integrating IOTA DLT and IPFS for Vulnerability management

引用

Electronics (Switzerland) 2025年第10期14卷 1929-1929页

作者： Lin, Iuon-Chang Ruan, Jyun-Yan Chang, Ching-Chun Chang, Chin-Chen Wang, Chun-Tse Department of Management Information Systems National Chung Hsing University Taichung40227 Taiwan Information and Communication Security Research Center Feng Chia University Taichung40724 Taiwan Department of Information Engineering and Computer Science Feng Chia University Taichung40724 Taiwan Ph.D. Program for Infrastructure Planning and Engineering Feng Chia University Taichung40724 Taiwan

In response to the Cybersecurity Law, organizations face numerous management and technical requirements. Detection techniques such as vulnerability scanning and penetration testing are employed to identify risks. Addressing these vulnerabilities demands substantial manpower, time, and financial resources. Security concerns also arise during digital file transmission and remediation efforts. This study proposes a security detection platform with step-by-step implementation guidelines, enabling resource-limited units to replicate the setup and address security gaps. It compares detection results between open-source and commercial tools, highlighting key differences and offering remediation strategies. Numerous digital files (e.g., test reports) are generated during testing. To ensure secure storage and sharing, the system integrates IOTA’s distributed ledger and IPFS, generating HASH values and uploading files on-chain to preserve integrity and authenticity. The objective is to deliver a scalable, cost-effective security detection framework that enhances system resilience while minimizing resource consumption. © 2025 by the authors.

关键词： Cyber attacks

来源：评论

学校读者我要写书评

暂无评论

An Integrated Optimization and Machine Learning Models to Predict the Admission Status of Emergency Patients

arXiv

引用

arXiv 2022年

作者： Ahmed, Abdulaziz Ashour, Omar Ali, Haneen Firouz, Mohammad Department of Health Services Administration School of Health Professions The University of Alabama at Birmingham BirminghamAL United States Department of Industrial Engineering The Pennsylvania State University EriePA United States Healthcare Services Administration Program Auburn University AuburnAL United States Department of Management Information Systems & Quantitative Methods Collat School of Business University of Alabama at Birmingham BirminghamAL United States

This work proposes a framework for optimizing machine learning algorithms. The practicality of the framework is illustrated using an important case study from the healthcare domain, which is predicting the admission status of emergency department (ED) patients (e.g., admitted vs. discharged) using patient data at the time of triage. The proposed framework can mitigate the crowding problem by proactively planning the patient boarding process. A large retrospective dataset of patient records is obtained from the electronic health record database of all ED visits over three years from three major locations of a healthcare provider in the Midwest of the US. Three machine learning algorithms are proposed: T-XGB, T-ADAB, and T-MLP. T-XGB integrates extreme gradient boosting (XGB) and Tabu Search (TS), T-ADAB integrates Adaboost and TS, and T-MLP integrates multi-layer perceptron (MLP) and TS. The proposed algorithms are compared with the traditional algorithms: XGB, ADAB, and MLP, in which their parameters are tunned using grid search. The three proposed algorithms and the original ones are trained and tested using nine data groups that are obtained from different feature selection methods. In other words, 54 models are developed. Performance was evaluated using five measures: Area under the curve (AUC), sensitivity, specificity, F1, and accuracy. The results show that the newly proposed algorithms resulted in high AUC and outperformed the traditional algorithms. The T-ADAB performs the best among the newly developed algorithms. The AUC, sensitivity, specificity, F1, and accuracy of the best model are 95.4%, 99.3%, 91.4%, 95.2%, 97.2%, respectively. Copyright © 2022, The Authors. All rights reserved.

关键词： Tabu search

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：