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Effects of Different Type of Gasoline Fuels on Heavy Duty Partially Premixed Combustion

The effects of fuel properties on the performance and emissions of an engine running in partially premixed combustion mode were investigated using nine test fuels developed in the gasoline boiling point range. The fuels covered a broad range of ignition quality and fuel chemistry.The fuels were characterized by performing a load sweep between 1 and 12 bar gross IMEP at 1000 and 1300 rpm. A heavy d

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer

With the shift toward de-escalating surgery in breast cancer, prediction models incorporating imaging can reassess the need for surgical axillary staging. This study employed advancements in deep learning to comprehensively evaluate routine mammograms for preoperative lymph node metastasis prediction. Mammograms and clinicopathological data from 1265 cN0 T1-T2 breast cancer patients (primary surge

A 3D-CFD Methodology for Combustion Modeling in Active Prechamber SI Engines Operating with Natural Gas

Active prechamber combustion systems for SI engines represent a feasible and effective solution in reducing fuel consumption and pollutant emissions for both marine and ground heavy-duty engines. However, reliable and low-cost numerical approaches need to be developed to support and speed-up their industrial design considering their geometry complexity and the involved multiple flow length scales.

Outcome prediction of prostate cancer patients on active surveillance using weakly supervised deep learning

To avoid over-treatment of prostate cancer patients following screening for elevated prostate-specific antigen (PSA) levels, keeping patients on active surveillance has been suggested as an alternative to radical treatment. This means reoccurring visits for patients with low-grade cancer to monitor progression. The Prostate Cancer Research International Active Surveillance (PRIAS) study was initia

Effect of Pre-Chamber Volume and Nozzle Diameter on Pre-Chamber Ignition in Heavy Duty Natural Gas Engines

It has previously been shown by the authors that the pre-chamber ignition technique operating with fuel-rich pre-chamber combustion strategy is a very effective means of extending the lean limit of combustion with excess air in heavy duty natural gas engines in order to improve indicated efficiency and reduce emissions. This article presents a study of the influence of pre-chamber volume and nozzl

Theoretical Foundations for Information Literacy : a Plan for Action

Information literacy is both a common and an important learning activity with higher education. That said, it is under-theorized as a process and as a path to a product. In order to meet the need for theory, the four panelists will offer four distinct possibilities for theoretical frameworks. While the four frameworks are able to stand alone, there is also the likelihood that they might be melded

Closed-loop combustion phase control for multiple combustion modes by multiple injections in a compression ignition engine fueled by gasoline-diesel mixture

Partially premixed combustion with low octane fuel aims to reduce NOx and soot emission simultaneously without fuel consumption penalty. Cylinder pressure based combustion phase control is an essential technology for partially premixed combustion. A novel closed-loop combustion phase control strategy for multiple combustion modes is proposed in the current study. The combustion modes are classifie

Combustion sensitivity to the nozzle hole size in an active pre-chamber ultra-lean heavy-duty natural gas engine

Active pre-chamber configurations are considered a valuable solution for improving the operation of the internal combustion engine, in the view to overcome the many challenges it has been made to face. Combining this technology with the use of natural gas, a fuel that has increasing availability and interest in the market share, it is possible to burn ultra-lean mixtures (with air-to-fuel ratios,

Combining in-cylinder pressure and 1D simulation tools to understand the combustion characteristics of natural gas in pre-chamber ignition systems for energy generation

Recent outlooks suggest a long-term relevance of internal combustion engines for both power generation and transportation. Nonetheless, stringent pollutant reduction requirements combined with new CO2 mandates draws a challenging scenario, requiring intensive research and development activities to develop and optimize combustion modes to fulfill these requirements. Among the recent advancements, t

Investigation of Different Valve Geometries and Valve Timing Strategies and their Effect on Regenerative Efficiency for a Pneumatic Hybrid with Variable Valve Actuation

In the study presented in this paper a single-cylinder Scania D12 diesel engine has been converted to work as a pneumatic hybrid. During pneumatic hybrid operation the engine can be used as a 2-stroke compressor for generation of compressed air during vehicle deceleration and during vehicle acceleration the engine can be operated as an air-motor driven by the previously stored pressurized air.The

Video Feedback Intervention With Children: A Systematic review

Objective: Present a systematic analysis of the outcome research concerning video feedback (VF) programs. Method: Twentyninestudies published between 1990 and 2014 were examined. They focused on children 0–12 years old and had at least onecontrol group. Results: VF programs were similar in design, with interventions focusing on parental and child behavior, parentalsensitivity and attachment. In 41Objective: Present a systematic analysis of the outcome research concerning video feedback (VF) programs. Method: Twenty- nine studies published between 1990 and 2014 were examined. They focused on children 0–12 years old and had at least one control group. Results: VF programs were similar in design, with interventions focusing on parental and child behavior, parental sensitivity and attachment.

Visual Perception—a matter of “filling in” the gaps

This presentation discusses how perception of pictures, of foremost faces, might be processed in the brain. Research in cognitive psychology suggests that pictures of faces are processed in to some extent specific areas of the brain (fusiform gyrus), than those showing other objects. Pictures of faces seem to be perceived in a holistic way, that is, dealt with in parallel (several features are pro

Start of low temperature reactions detection based on motoring pressure prediction for partially premixed combustion

Partially premixed combustion aims to reduce NOx and particulate matter emission without fuel consumption penalty. Low temperature reactions are important for the partially premixed combustion. In the current study, a self-adaptive strategy is introduced to predict the motoring pressure by means of an equivalent isentropic index. The start of the low temperature reactions is detected when the pres

EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text

Medical research generates a large number of publications with the PubMed database already containing >35 million research articles. Integration of the knowledge scattered across this large body of literature could provide key insights into physiological mechanisms and disease processes leading to novel medical interventions. However, it is a great challenge for researchers to utilize this informa

Contestation in Participatory Budgeting : Spaces, Boundaries, and Agency

Local political leaders as well as international organizations have embraced participatory budgeting in response to problems of political exclusion and citizens’ dissatisfaction with representative democracy. This article provides a framework to highlight important aspects of the politics of participation. The framework allows scholars to explore how factors external to spaces of participation intLocal political leaders as well as international organizations have embraced participatory budgeting in response to problems of political exclusion and citizens’ dissatisfaction with representative democracy. This article provides a framework to highlight important aspects of the politics of participation. The framework allows scholars to explore how factors external to spaces of participation int

Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies

In recent years, the combination of the digitization of the field of pathology and increased computational power has led to a big increase in research of computer-aided diagnostics using systems based on artificial intelligence (AI). This includes detection and classification of prostate cancer, where several studies have shown great promise in automated prostate cancer grading using deep learning