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Extracting commuter-specific destination hotspots from trip destination data-comparing the boro taxi service with Citi Bike in NYC

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Geo-Spatial Information Science 2020年第2期23卷 141-152页

作者： Andreas Keler Jukka M.Krisp Linfang Ding Department of Civil Geo and Environmental EngineeringTechnical University of MunichMunichGermany Applied Geoinformatics Institute of GeographyUniversity of Augsburg(UniA)AugsburgGermany The krdb research centre for knowledge and data Free University of Bozen-BolzanoBozen-BolzanoItaly Department of Cartography Technical University of MunichMunichGermany

Taxi trajectories from urban environments allow inferring various information about the transport service qualities and commuter *** is possible to associate starting and end points of taxi trips with requirements of individual groups of people and even social *** research shows that due to service restrictions,boro taxis have typical customer destination locations on selected Saturdays:many drop-off clusters appear near the restricted zone,where it is not allowed to pick up customers and only few drop-off clusters appear at complicated *** crossings imply recent infrastructural *** want to follow up on these results and add one additional group of commuters:Citi Bike *** selected Saturdays in June 2015,we want to compare the destinations of boro taxi and Citi Bike *** is challenging due to manifold differences between active mobility and motorized road users,and,due to the fact that station-based bike sharing services are restricted to *** and end points of trips,as well as the volumes in between rely on specific numbers of bike sharing ***,we introduce a novel spatiotemporal assigning procedure for areas of influence around static bike sharing stations for extending available computational methods.

关键词： Urban transportation spatial analysis mobility patterns boro taxis vehicle fleets bicycle-sharing service

Advancements in Liver Tumor Detection:A Comprehensive Review of Various Deep Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 91-122页

作者： Shanmugasundaram Hariharan D.Anandan Murugaperumal Krishnamoorthy Vinay Kukreja Nitin Goyal Shih-Yu Chen Deptartment of Artificial Intelligence and data Science Vardhaman College of EngineeringHyderabad501218India Deptartment of CSE V.S.B College of EngineeringKarur639111India Deptartment of Electrical and Electronics Engineering Vardhaman College of EngineeringHyderabad501218India centre for research Impact&Outcome Chitkara UniversityRajpura140401PunjabIndia Department of Computer Science and Engineering School of Engineering and TechnologyCentral University of HaryanaMahendergarh123031HaryanaIndia Department of Computer Science and Information Engineering National Yunlin University of Science and TechnologyYunlin64002Taiwan Intelligence Recognition Industry Service research Center National Yunlin University of Science and TechnologyYunlin64002Taiwan

Liver cancer remains a leading cause of mortality worldwide,and precise diagnostic tools are essential for effective treatment *** Tumors(LTs)vary significantly in size,shape,and location,and can present with tissues of similar intensities,making automatically segmenting and classifying LTs from abdominal tomography images crucial and *** review examines recent advancements in Liver Segmentation(LS)and Tumor Segmentation(TS)algorithms,highlighting their strengths and limitations regarding precision,automation,and *** metrics are utilized to assess key detection algorithms and analytical methods,emphasizing their effectiveness and relevance in clinical *** review also addresses ongoing challenges in liver tumor segmentation and identification,such as managing high variability in patient data and ensuring robustness across different imaging *** suggests directions for future research,with insights into technological advancements that can enhance surgical planning and diagnostic accuracy by comparing popular *** paper contributes to a comprehensive understanding of current liver tumor detection techniques,provides a roadmap for future innovations,and improves diagnostic and therapeutic outcomes for liver cancer by integrating recent progress with remaining challenges.

关键词： Liver tumor detection liver tumor segmentation image processing liver tumor diagnosis feature extraction tumor classification deep learning machine learning

Development of a nomogram for overall survival in patients with esophageal carcinoma:A prospective cohort study in China

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World Journal of Gastrointestinal Oncology 2025年第1期17卷 158-168页

作者： Shi-Shi Yu Xi Zheng Xiao-Sheng Li Qian-Jie Xu Wei Zhang Zhong-Li Liao Hai-Ke Lei Department of Gastroenterology Chongqing University Cancer HospitalChongqing 400030China Chongqing Cancer Multi-omics Big data Application Engineering research Center Chongqing University Cancer HospitalChongqing 400030China Department of Health Statistics School of Public HealthChongqing Medical UniversityChongqing 400016China

BACKGROUND Esophageal carcinoma(EC)presents a significant public health issue in China,with its prognosis impacted by myriad *** creation of a reliable prog-nostic model for the overall survival(OS)of EC patients promises to greatly advance the customization of treatment *** To create a more systematic and practical model that incorporates clinically significant indicators to support decision-making in clinical *** This study utilized data from a prospective longitudinal cohort of 3127 EC patients treated at Chongqing University Cancer Hospital between January 1,2018,and December 12,*** the least absolute shrinkage and selection operator regression alongside multivariate Cox regression analyses helped pinpoint pertinent variables for constructing the *** efficacy was assessed by concordance index(C-index),area under the receiver operating characteristic curve(AUC),calibration curves,and decision curve analysis(DCA).RESULTS Nine variables were determined to be significant predictors of OS in EC patients:Body mass index(BMI),Karnofsky performance status,TNM stage,surgery,radiotherapy,chemotherapy,immunotherapy,platelet-to-lymphocyte ratio,and albumin-to-globulin ratio(ALB/GLB).The model demonstrated a C-index of 0.715(95%CI:0.701-0.729)in the training cohort and 0.711(95%CI:0.689-0.732)in the validation *** the training cohort,AUCs for 1-year,3-year,and 5-year OS predictions were 0.773,0.787,and 0.750,respectively;in the validation cohort,they were 0.772,0.768,and 0.723,respectively,illustrating the model's *** curves and DCA verified the model's predictive accuracy and net *** A novel prognostic model for determining the OS of EC patients was successfully developed and validated to help clinicians in devising individualized treatment schemes for EC patients.

关键词： Esophageal carcinoma High-risk factors Prognosis Overall survival Prediction model

Big data in support of the sustainable development goals(continued):a celebration of the establishment of the International research Center of Big data for Sustainable Development Goals(CBAS)

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Big Earth data 2021年第4期5卷 443-444页

作者： Huadong Guo Heide Hackmann Ke Gong International research Center of Big data for Sustainable Development Goals World Federation of Engineering Organizations

The rapid development of analytics and concepts in big data enables us to diversify our efforts and enhance opportunities to implement the Sustainable Development Goals(SDGs).Big data improves the extent to which scientific evidence and innova-tive technological solutions can be adopted to meet these ***,the tools and methods of big data are still somewhat of a novelty in this respect.

关键词： Sustainable continued enable

Big data in support of the Sustainable Development Goals:a celebration of the establishment of the International research Center of Big data for Sustainable Development Goals(CBAS)

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Big Earth data 2021年第3期5卷 259-262页

作者： Huadong Guo Heide Hackmann Ke Gong International research Center of Big data for SDGs International Science Council World Federation of Engineering Organizations

In the last century the impacts of human activity on natural processes that sustain the Earth’s biosphere,atmosphere,hydrosphere and lithosphere and that provide the bed-rock of human life support systems,have grown to the extent that they pose a credible existential threat to ***,the biggest challenge for science,technology and innovation(STI)is to contribute to the pursuit of global sustainability as exemplified in the Sustainable Development Goals(SDGs)that were adopted by the United Nations(UN)in 2015.

关键词： Sustainable pursuit humanity

An Analysis of Crosswalks from research data Schemas to ***

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data Intelligence 2023年第1期5卷 100-121页

作者： Mingfang Wu Stephen M.Richard Chantelle Verhey Leyla Jael Castro Baptiste Cecconi Nick Juty Australian research data Commons MelbourneVictoria 3145Australia US Geoscience Information Network Neward DE 19716-7501USA International Science Council World Data SystemVictoria BC V8N 1V8Canada ZB MED-Information centre for Life Sciences Cologne 50931Germany Observatoire de Paris-PSL Paris Astronomical Data CenterParis 75001France Department of Computer Science The University of ManchesterOxford RoadManchester M139PLUK

The increased number of data repositories has greatly increased the availability of open *** enable broad discovery and access to research dataset,some data repositories have begun leveraging the web architecture by embedding structured metadata markup in dataset web landing pages using vocabularies from *** and *** paper aims to examine metadata interoperability for supporting global data ***,the paper reports a survey on which metadata schema has been adopted by participating data repositories,and presents an analysis of crosswalks from fourteen research data schemas to *** analysis indicates most descriptive metadata are interoperable among the schemas,the most inconsistent mapping is the rights metadata,and a large gap exists in the structural metadata and controlled vocabularies to specify various property *** analysis and collated crosswalks can serve as a reference for data repositories when they develop crosswalks from their own schemas to ***,and provide the research data community a benchmark of structured metadata implementation.

关键词： metadata schema *** metadata interoperability FAIR(meta)data metadata schemas crosswalk research data schemas

Reevaluating health metrics:Unraveling the limitations of disabilityadjusted life years as an indicator in disease burden assessment

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World Journal of Methodology 2025年第1期15卷 14-19页

作者： Ariel Beresniak Dominique Bremond-Gignac Danielle Dupont Gerard Duru data Mining International Geneva 1216Switzerland Department of Ophtalmology Necker-Enfants Malades University HospitalAP-HPParis-CitéUniversityINSERMUMRS1138Team 17From Physiopathology of Ocular Diseases to Clinical DevelopmentSorbonne Paris CitéUniversityCentre de Recherche des CordeliersParis 75015France data Mining America Montreal H2YCanada

In 1993,the World Bank released a global report on the efficacy of health promotion,introducing the disability-adjusted life years(DALY)as a novel *** DALY,a composite metric incorporating temporal and qualitative data,is grounded in preferences regarding disability *** review delineates the algorithm used to calculate the value of the proposed DALY synthetic indicator and elucidates key methodological challenges associated with its *** contrast to the quality-adjusted life years approach,derived from multi-attribute utility theory,the DALY stands as an independent synthetic indicator that adopts the assumptions of the Time Trade Off utility technique to define Disability *** to rely on no mathematical or economic theory,DALY users appear to have exempted themselves from verifying whether this indicator meets the classical properties required of all indicators,notably content validity,reliability,specificity,and *** DALY concept emerged primarily to facilitate comparisons of the health impacts of various diseases globally within the framework of the Global Burden of Disease initiative,leading to numerous publications in international *** widespread adoption,the DALY synthetic indicator has prompted significant methodological concerns since its inception,manifesting in inconsistent and non-reproducible *** the substantial diffusion of the DALY indicator and its critical role in health impact assessments,a reassessment is *** reconsideration is imperative for enhancing the robustness and reliability of public health decisionmaking processes.

关键词： Disability adjusted life years Cost-utility analyses Outcome research Public health Burden of disease

Digital Earth from vision to practice:making sense of citizen-generated content

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International Journal of Digital Earth 2012年第5期5卷 398-416页

作者： M.Craglia F.Ostermann L.Spinsanti Digital earth and reference data unit european commission joint research centreispraitaly

The vision of Digital Earth(DE)put recently forward under the auspices of the International Society for DE extends the paradigm of spatial data infrastructures by advocating an interactive and dynamic framework based on near-to-real time information from sensors and *** paper contributes to developing that vision and reports the results of a two-year research project exploring the extent to which it is possible to extract information useful for policy and science from the large volumes of messages and photos being posted daily through social *** the noted concerns about the quality of such data in relation to that provided by authoritative sources,the research has developed a semi-automatic workflow to assess the fitness for purpose of data extracted from Twitter and Flickr,and compared them to that coming from official sources,using forest fires as a case *** findings indicate that we were able to detect accurately six of eight major fires in France in the summer of 2011,with another four detected by the social networks but not reported by our official source,the European Forest Fire Information *** findings and the lessons learned in handling the very large volumes of unstructured data in multiple languages discussed in this study provide useful insights into the value of social network data for policy and science,and contribute to advancing the vision of DE.

关键词： Digital Earth social networks volunteered geographic information data quality

PEJA:Progressive Energy-Efficient Join Processing for Sensor Networks

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Journal of Computer Science & Technology 2008年第6期23卷 957-972页

作者：赖永炫陈毅隆陈红 School of Information Renmin University of China Key Laboratory of data Engineering and knowledge Engineering Ministry of Education

Sensor networks are widely used in many applications to collaboratively collect information from the physical environment. In these applications, the exploration of the relationship and linkage of sensing data within multiple regions can be naturally expressed by joining tuples in these regions. However, the highly distributed and resource-constraint nature of the network makes join a challenging query. In this paper, we address the problem of processing join query among different regions progressively and energy-efficiently in sensor networks. The proposed algorithm PEJA （Progressive Energy-efficient Join Algorithm） adopts an event-driven strategy to output the joining results as soon as possible, and alleviates the storage shortage problem in the in-network nodes. It also installs filters in the joining regions to prune unmatchable tuples in the early processing phase, saving lots of unnecessary transmissions. Extensive experiments on both synthetic and real world data sets indicate that the PEJA scheme outperforms other join algorithms, and it is effective in reducing the number of transmissions and the delay of query results during the join processing.

关键词： progressive join minimal join set in-network processing sensor network