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Multifaceted Disparities Associated with Translator Earnings: A Quantitative Study of Upwork Profiles

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Journal of Social Computing 2024年第1期5卷 88-100页

作者： Tyler Horan Data analytics and Computational Social Science program University of Massachusetts AmherstAmherstMA 01003USA

This study aims to quantitatively explore the multifaceted determinants that influence earnings in the translation *** a dataset comprising 45000 translator profiles,the study focusses on delineating disparities correlated with demographic variables such as age,gender,home country wealth,and language *** study uses a random forest regression model to delineate the complex interaction between gender,the economic standing of a translator’s domicile country,age,and linguistic proficiency,as they relate to *** findings substantiate and,in many ways,extend existing qualitative and anecdotal evidence that has shaped the discourse in this *** rigorous empirical framework employed here can be replicated or adapted to study other sectors within the gig economy,thus contributing to a more comprehensive understanding of labour dynamics in the digital age.

关键词： translation online employment gig economy intercultural communication

Association between the elderly frequent attender to the emergency department and 30-day mortality： A retrospective study over 10 years

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World Journal of Emergency Medicine 2018年第1期9卷 20-25页

作者： Yuzeng Shen Yee Chien Tay Edward Wee Kwan Too Nan Liu Shao Wei Lam Marcus Eng Hock Ong Department of Emergency Medicine Singapore General Hospital Singapore Department of Emergency Medicine Sengkang Health Singapore business analytics program National University of Singapore Singapore Singhealth Health Selvices Research Centre Singapore

BACKGROUND: To determine if elderly frequent attenders are associated with increased 30-day mortality, assess resource utilization by the elderly frequent attenders and identify associated characteristics that contribute to mortality. METHODS: Retrospective observational study of electronic clinical records of all emergency department(ED) visits over a 10-year period to an urban tertiary general hospital in Singapore. Patients aged 65 years and older, with 3 or more visits within a calendar year were identified. Outcomes measured include 30-day mortality, admission rate, admission diagnosis and duration spent at ED. Chi-square-tests were used to assess categorical factors and Student t-test was used to assess continuous variables on their association with being a frequent attender. Univariate and multivariate logistic regressions were conducted on all significant independent factors on to the outcome variable(30-day mortality), to determine factor independent odds ratios of being a frequent ***: 1.381 million attendance records were analyzed. Elderly patients accounted for 25.5% of all attendances, of which 31.3% are frequent attenders. Their 30-day mortality rate increased from 4.0% in the first visit, to 8.8% in the third visit, peaking at 10.2% in the sixth visit. Factors associated with mortality include patients with neoplasms, ambulance utilization, male gender and having attended the ED the previous ***: Elderly attenders have a higher 30-day mortality risk compared to the overall ED population, with mortality risk more marked for frequent attenders. This study illustrates the importance and need for interventions to address frequent ED visits by the elderly, especially in an aging society.

关键词： Frequent attenders Elderly Emergency department Mortality

Item-level Forecasting for E-commerce Demand with High-dimensional Data Using a Two-stage Feature Selection Algorithm

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Journal of Systems Science and Systems Engineering 2022年第2期31卷 247-264页

作者： Hongyan Dai Qin Xiao Nina Yan Xun Xu Tingting Tong business School Central University of Finance and EconomicsBeijing 100081China Department of Management Operationsand MarketingCollege of Business AdministrationCalifornia State UniversityStanislausTurlockCA95382United States Institute of Supply Chain analytics&International business College Dongbei University of Finance and EconomicsDalian 116025China

With the rapid development of information technology and fast growth of Internet users,e-commerce nowadays is facing complex business environment and accumulating large-volume and highdimensional *** brings two challenges for demand ***,e-merchants need to find appropriate approaches to leverage the large amount of data and extract forecast features to capture various factors affecting the ***,they need to efficiently identify the most important features to improve the forecast accuracy and better understand the key drivers for demand *** solve these challenges,this study conducts a multi-dimensional feature engineering by constructing five feature categories including historical demand,price,page view,reviews,and competition for e-commerce demand forecasting on *** then propose a two-stage random forest-based feature selection algorithm to effectively identify the important features from the high-dimensional feature set and avoid *** test our proposed algorithm with a large-scale dataset from the largest e-commerce platform in *** numerical results from 21,111 items and 109 million sales observations show that our proposed random forest-based forecasting framework with a two-stage feature selection algorithm delivers 11.58%,5.81%and 3.68%forecast accuracy improvement,compared with the Autoregressive Integrated Moving Average(ARIMA),Random Forecast,and Random Forecast with one-stage feature selection approach,respectively,which are widely used in literature and *** study provides a useful tool for the practitioners to forecast demands and sheds lights on the B2C e-commerce operations management.

关键词： Forecasting e-commerce high-dimensional feature feature selection

Structure,Dynamic-Mechanical and Acoustic Properties of Oil Palm Trunk Modified by Melamine Formaldehyde

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Journal of Renewable Materials 2021年第9期9卷 1647-1660页

作者： Tetti Novalina Manik Sulung Apria Nuki Nur Aini Fauziyah Mashuri Mochamad Zainuri Darminto Department of Physics Faculty of Science and Data AnalyticsInstitut Teknologi Sepuluh NopemberSurabaya60111Indonesia Physics Study program Faculty of Mathematics and Natural SciencesUniversitas Lambung MangkuratBanjarbaru70714Indonesia

The performance of oil palm trunk wastes from Banjarbaru of South Kalimantan was improved with the help of chemical modification in a two-step *** first was formalization with formaldehyde solution with varying pH,and the second was impregnation with melamine-formaldehyde resin under 5 bar pressure for an *** these processes,the samples were cured at 120℃ for 10 min and then dried in an oven at(103±2)℃ in order to attain a moisture content of less than 6%.These treatments improved the physical properties(density,moisture content,and volume swelling),mechanical resistance,dynamic-mechanical and acoustic performance of the *** combination of impregnation and formalization changed the structure and the morphology of the woods such that the surface became flatter and *** was confirmed by results from FTIR,SEM,and *** with alkaline modification displayed the best results for dimensional stability,storage modulus,and damping factor in varied *** treatments in this study also heightened acoustic performances as evidenced by the resulting characteristics of sound absorption coefficient and acoustic impedance.

关键词： Acoustic performances dynamic-mechanical formalization oil palm trunk

Cattle behaviour classification from collar, halter, and ear tag sensors

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Information Processing in Agriculture 2018年第1期5卷 124-133页

作者： A.Rahman D.V.Smith B.Little A.B.Ingham P.L.Greenwood G.J.Bishop-Hurley analytics program Data61CSIROAustralia Productive and Adaptive Livestock Systems Agriculture and FoodCSIROAustralia NSW Department of Primary Industries Beef Industry Centre Australia

In this paper,we summarise the outcome of a set of experiments aimed at classifying cattle behaviour based on sensor *** animal carried sensors generating time series accelerometer data placed on a collar on the neck at the back of the head,on a halter positioned at the side of the head behind the mouth,or on the ear using a *** purpose of the study was to determine how sensor data from different placement can classify a range of typical cattle *** were collected and animal behaviours(grazing,standing or ruminating)were observed over a common time *** features were computed from the sensor data and machine learning algorithms were trained to classify each *** accuracies were computed on separate independent test *** analysis based on behaviour classification experiments revealed that different sensor placement can achieve good classification accuracy if the feature space(representing motion patterns)between the training and test animal is *** paper will discuss these analyses in detail and can act as a guide for future studies.

关键词： Sensor data analytics Cattle behaviour classification Sensors for cattle behaviour tracking

Intelligent geospatial maritime risk analytics using the Discrete Global Grid System

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Big Earth Data 2022年第3期6卷 294-322页

作者： Andrew Rawson Zoheir Sabeur Mario Brito Department of Electronics and Computer Science University of SouthamptonUK Department of Computing and Informatics Talbot CampusUniversity of BournemouthBournemouthUK Department of Decision analytics and Risk Southampton Business SchoolUniversity of SouthamptonUK

Each year,accidents involving ships result in significant loss of life,environmental pollution and economic *** promotion of navigation safety through risk reduction requires methods to assess the spatial distribution of the relative likelihood of ***,such methods necessitate the integration of large volumes of heterogenous datasets which are not well suited to traditional data *** paper proposes the use of the Discrete Global Grid System(DGGS)as an efficient and advantageous structure to integrate vessel traffic,metocean,bathymetric,infrastructure and other relevant maritime datasets to predict the occurrence of ship *** and heterogenous datasets are well suited for machine learning algorithms and this paper develops a spatial maritime risk model based on a DGGS utilising such an approach.A Random Forest algorithm is developed to predict the frequency and spatial distribution of groundings while achieving an R2 of 0.55 and a mean squared error of *** resulting risk maps are useful for decision-makers in planning the allocation of mitigation measures,targeted to regions with the highest *** work is identified to expand the applications and insights which could be achieved through establishing a DGGS as a global maritime spatial data structure.

关键词： Maritime risk Discrete Global Grid System big data machine learning

Cooperation and Contract Design in Project Management with Outsourcing

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Journal of Systems Science and Systems Engineering 2023年第1期32卷 34-70页

作者： Xiaoqiang Cai Nicholas G.Hall Siyi Wang Feng Zhang School of Data Science The Chinese University of Hong KongShenzhen518172China Shenzhen Research Institute of Big Data Shenzhen518172China Department of Operations&business analytics Fisher College of BusinessOhio State UniversityColumbusOhioUSA School of Science and Engineering The Chinese University of Hong KongShenzhen518172China Suning Bank Nanjing210019China

We study a project management problem where the prime contractor needs to outsource tasks to subcontractors with the required *** execution of the project requires proper coordination among the subcontractors,as well as contract design by the prime contractor to incentivize the *** modeling the subcontractors’coordination problem as a cooperative game,we develop a profit sharing scheme to facilitate the subcontractors’*** consider two contract designs for the prime contractor:a uniform contract across all subcontractors,and a nonuniform one that customizes incentives for each *** propose efficient algorithms to solve the implicit optimization problems for optimal contract *** experiments show that the pooling effect of subcontractors’cooperation mitigates the negative impact of poor estimates about the crashing cost and resource *** observe three unexpected results through the randomized computation experiments:(i)the subcontractors’profits may decrease if they provide false information;(ii)it is safer for the prime contractor to overestimate subcontractors’crashing costs than underestimate them;and(iii)uniform contracts deliver more project profit for the subcontractors in the coalitions.

关键词： Project management with outsourcing subcontracting cooperative game contract design

Direct structural evidence supporting a revolving mechanism in DNA packaging motors

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Biophysics Reports 2020年第5期6卷 155-158页

作者： Yao-Gen Shu Xiaolin Cheng Wenzhou Institute University of Chinese Academy of Sciences Biophysics Graduate program Translational Data Analytics Institute The Ohio State University

Viruses have evolved two strategies to package genome: either assembling a capsid around their genomes or packaging the genomes into a preformed capsid with packaging motors. Most of the doublestranded(ds) DNA viruses...

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A Novel Quantum Entanglement-Inspired Meta-heuristic Framework for Solving Multimodal Optimization Problems

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Chinese Journal of Electronics 2021年第1期30卷 145-152页

作者： ZHAO Shijie MA Shilin GAO Leifu YU Dongmei Institute of Optimization and Decision College of Science Liaoning Technical University Institute for Optimization and Decision analytics Liaoning Technical University

To solve Multimodal optimization problems(MOPs), a Novel Quantum entanglement-inspired meta-heuristic framework(NMF-QE) is proposed. Its main inspirations are two concepts of quantum physics:quantum entanglement and quantum superposition. When given Proto-born particles(PBPs) of a population, these two concepts are mathematically developed to generate twin-born and combination-born particles, *** if any elite-born particles would be created by a local re-searching strategy. These three or four groups of particles come together as a whole search population of NMF-QE to realize exploration and exploitation of algorithms. To guarantee dynamical optimization capability of NMF-QE, the individual evolutionary mechanism of some existing meta-heuristics will be adopted to iteratively create PBPs. A selected meta-heuristic is coupled with NMF-QE to present its improved variant. Numerical results show that the proposed NMF-QE can effectively improve optimization performance of meta-heuristics on MOPs.

关键词： optimisation quantum entanglement NMF-QE quantum superposition genetic algorithms search problems combination-born particles quantum physics evolutionary computation given Proto-born particles Multimodal optimization problems elite-born particles Novel Quantum entanglement-inspired meta-heuristic framework existing meta-heuristics