Maritime cognitive workload assessment

The human factor plays the key role for safety in many industrial and civil every-day operations in our technologized world. Human failure is more likely to cause accidents than technical failure, e.g. in the challenging job of tugboat captains. Here, cognitive workload is crucial, as its excess is a main cause of dangerous situations and accidents while being highly participant and situation dependent. However, knowing the captain’s level of workload can help to improve man-machine interaction. The main contributions of this paper is a successful workload indication and a transfer of cognitive workload knowledge from laboratory to realistic settings

A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models

The springing up of Large Language Models (LLMs) has shifted the community from single-task-orientated natural language processing (NLP) research to a holistic end-to-end multi-task learning paradigm. Along this line of research endeavors in the area, LLM-based prompting methods have attracted much attention, partially due to the technological advantages brought by prompt engineering (PE) as well as the underlying NLP principles disclosed by various prompting methods. Traditional supervised learning usually requires training a model based on labeled data and then making predictions. In contrast, PE methods directly use the powerful capabilities of existing LLMs (i.e., GPT-3 and GPT-4) via composing appropriate prompts, especially under few-shot or zero-shot scenarios. Facing the abundance of studies related to the prompting and the ever-evolving nature of this field, this article aims to (i) illustrate a novel perspective to review existing PE methods, within the well-established communication theory framework; (ii) facilitate a better/deeper understanding of developing trends of existing PE methods used in four typical tasks; (iii) shed light on promising research directions for future PE methods

Robust Adaptive Backstepping Motion Control of Underwater Cable-Driven Parallel Mechanism Using Improved Linear Model Predictive Control

This paper proposes a novel motion-tracking control methodology for an underwater cable-driven parallel mechanism (CDPM) that achieves calculation of dynamic tension constraint values, tension planning, parameter linearization, and motion tracking. The control objective is divided into three sub-objectives: motion tracking, horizontal displacement suppression, and cable-tension restriction. A linear model predictive control (LMPC) method is designed to plan cable tensions for motion-tracking and displacement suppression. The robust adaptive backstepping controller converts cable tension into winch speed based on the joint-space method and command filtering. Moreover, the X−swapping method is used to linearize and identify the time−varying nonlinear parameters. An essential prerequisite for restricting cable tension is to obtain cable-tension constraint values. A novel dynamic minimum tension control (DMTC) method, based on the equivalent control concept, is proposed for this aim. The DMTC can adaptively obtain the lower cable-tension threshold through the platform posture and motion status, anchor distribution position, and cable integrity status. Compared to traditional fixed tension constraint values, DMTC can more effectively cope with sudden changes in cable tension than fixed tension constraints. Finally, several simulations are carried out to verify the effectiveness and robustness of the proposed approach

Luminescent Rare-Earth Doped Thin Film Nanostructures As Building Blocks for Nanophotonic and Lighting Applications

Conferencia invitada ; The Electrochemical Society: advancing solid state & electrochemical science & technologies ; San Diego, CA, May 29-June 2, 2016 ; http://www.electrochem.org/229Active light emitting nanostructured materials are essential elements for the development of compact and efficient devices in applications such as photonics, lighting, safety, sensing and biotechnology. These nanostructured materials require a suitable design and specific choice of wavelength depending on the targeted application. Rare-earth(RE) ions are known for providing a robust and high purity light emission Within this context we aim to design and fabricate nanostructured efficient emitters that will be used as building blocks for the development of the next generation of complex photonic devices that will have integrated functionalities such as emission, switching, processing and detection of light, operating in a wide wavelength range covering the visible-infrared spectrum. In this talk we will present the recent results obtained by our group using the methodology of embedding nanolayers of rare-earth ions into thin film oxides and oxinitrides with the aim to build efficient nanoemitters. By suitably choosing the nature, composition and crystallinity of the matrix, and the oxidation state of the RE-ion and its concentration and distribution in the nanolayers we will show several examples of functionalized emission. The examples will include the demonstration of narrow emission from pure europium oxide thin films in which fine tuning of the emission is shown by exploiting crystal field effects triggered by stress, the development of efficient wide band emitters in the visible based on Eu2+ doped oxide and oxinitride films, and the demonstration of RGB emission based on a combined doping of RE-ions.Peer Reviewe

Gold recovery from refractory gold concentrates by pressure oxidation pre-treatment and thiosulfate leaching

Naturally, refractory gold is enclosed by sulfide minerals such as pyrite and arsenopyrite and a higher content of organic carbon, which results in difficulty in the recovery of gold. In this study, the flotation gold concentrate before and after pressure oxidation (POX) was analyzed. The analysis of the Eh-pH diagram revealed that pyrite/arsenopyrite would be dissolved in higher oxidation potential. Results of SEM-EDS showed that the surface of minerals became very rough and structure of some particles was destroyed after POX. The XRD measurement showed that pyrite was oxidized to jarosite, and gangue minerals such as quartz and organic carbon were hardly changed. The process of thiosulfate leaching of gold was designed and optimized according to Miscellaneous implemented by Response Surface Methodology (RSM). Based on the results of ANOVA, leaching model was significant. In leaching, [S2O32-] played an important role and the interactions between [S2O32-] and [Cu2+] were significant. The effect of [HA] was relatively weak. Optimum process parameters of the initial reagent concentration were 505.00 mM for [S2O32-], 34.77 mM for [Cu2+], and 0.50 mM for [HA]. Under these conditions, the Au extraction value was about 86.21%, which was significantly higher than that obtained with leaching directly

Additional file 2: Table S1. of Transcriptomic profiling of genes in matured dimorphic seeds of euhalophyte Suaeda salsa

Functional classification by KEGG pathways in S. salsa dimorphic seeds. (XLS 20 kb

Additional file 1: Figure S1. of Transcriptomic profiling of genes in matured dimorphic seeds of euhalophyte Suaeda salsa

Length distribution of unigenes identified in the transcriptome of S. salsa dimorphic seeds. (DOC 141 kb

Additional file 8: Table S7. of Transcriptomic profiling of genes in matured dimorphic seeds of euhalophyte Suaeda salsa

DEGs in the plant hormone signal transduction pathway. (XLS 23 kb