Response Time Performance Research Articles

An Adaptive Controller with Disturbance Observer for Underwater Vehicle Manipulator Systems

Dynamic control of underwater vehicle manipulator systems (UVMSs) is the key part of underwater intervention tasks. In this paper, we propose an adaptive controller with a disturbance observer that mainly consists of two parts: the first part is the adaptive control law that estimates the changes in the center of mass (COM) and the center of buoyancy (COB) of the vehicle, and the second part is the nonlinear disturbance observer that estimates the external disturbance and model uncertainties. To attenuate the overestimation problem, a damping term is introduced to the adaptive law. The stability of the proposed method is proven on the basis of Lyapunov theory. We develop three scenarios on the Simurv platform and illustrate the effectiveness of the proposed method with a short response time and high tracking performance.

Financial and prosocial rewards differentially enhance cognition in younger and older healthy adults

AbstractThe prospect of a reward can enhance cognitive performance. For younger men financial gains, and for older adults and women prosocial rewards, seem particularly motivating. We therefore investigated whether adding a prosocial component to a financial reward enhanced cognitive performance and, if so, whether this depended on age or sex. We randomly assigned 571 participants to one of three reward types (financial reward, prosocial reward, or a combination of both) in a monetary incentive delay task. We used linear effects modelling to examine effects of age, sex, or reward type on trial accuracy, response time, and total performance. The prospect of a combined financial and prosocial reward increased performance in all participants with the increase of response speed particularly pronounced in younger adults. Only in men, a sole financial reward increased performance. Our study highlights the importance of choosing rewards wisely when designing studies that examine their influence on cognitive performance.

Simple, rapid and enzyme-free assay for potentiometric determination of L-cysteine based on meso-2,3-dimercaptosuccinic acid self-assembled gold electrode

As a sulfur containing α-amino acid in nature, L-cysteine plays a crucial role in a variety of metabolic pathways with many important physiological functions. However, it is still a great challenge to construct a simple and rapid approach for L-cysteine up to now. In this paper, a simple, rapid and enzyme-free method was developed for potentiometric determination of L-cysteine by using meso-2,3-dimercaptosuccinic acid self-assembled monolayer on gold electrode. The surface morphology and property of self-assembled membrane with and without L-cysteine combined were characterized by means of scanning electron microscopy, X-ray photoelectron spectroscopy, electrochemical impedance spectroscopy, and cyclic voltammetry, respectively. The recognition mechanism may be attributed to formation of hydrogen bonds between meso-2,3-dimercaptosuccinic acid and the target molecule of L-cysteine, producing a double electric layer at the sensing interface, that the membrane potential decreases with increasing concentration of L-cysteine. The assay results showed that good linear potential response to L-cysteine in Tris-HCl buffer solution (pH=7.0) was obtained in a range of 1.0 × 10-8 to 1.0 × 10-3 mol/L, with a slope of −57.00 ± 0.63 mV/-pc (25 °C) and a detection limit of 7.9 × 10-9 mol/L. The electrode possessed fast response time (45 s), good reproducibility, and strong anti-interference performance. Moreover, the electrode can be well applied to the detection of L-cysteine in pig serums with a recovery rate of 94.3 ∼ 106.3%, indicating a promising application prospect.

Warehouse layout optimization for fishbone robotic mobile fulfillment systems

The rapid development of electronic commerce has increased demands for order fulfillment efficiency, making this a crucial challenge for warehouse systems. The study proposes a novel fishbone robotic mobile fulfillment system (FRMFS) to optimize warehouse layout and enhance the picking efficiency of automated warehouse systems, such as robotic mobile fulfillment systems (RMFS). Through the construction and analysis of mathematical models, the research demonstrates that FRMFS can significantly reduce the travel distance of robots when compared to traditional RMFS. This leads to an improvement in the overall picking efficiency of the warehouse system. The study also examines the impact of warehouse parameters, cross-aisle angles, and the number of picking stations on system operational efficiency. Simulation experiments confirm that FRMFS can reduce picking distances by 18%–28% compared to traditional RMFS. This makes it particularly suitable for complex warehouse systems with high requirements for operational response time and system throughput. Furthermore, the study introduces a point-based layout design method for picking stations in FRMFS, demonstrating its efficiency as a heuristic approach. This research presents a scientific analysis framework and model support for the operational design and optimization of FRMFS, offering valuable insights for management practices.

Streamlined multi-scenario revocation method leveraging blockchain and auxiliary trees

Access revocation is a fundamental aspect of modern information systems, ensuring that data remains secure and authorized personnel have appropriate access rights. However, existing access revocation methods address only one type of scenario, offering either partial or complete revocation functionalities but not both, leading to limitations in flexibility and effectiveness. This paper introduces a novel approach called streamlined multi-scenario revocation method (SMSRM) that combines block chain technology and auxiliary trees to streamline the process of multi-scenario access revocation. The SMSRM method defines two separate revoke request formats for partial and complete revocation. Auxiliary trees are used to keep track of non-revoked users, which is very important during the revocation process. In addition, the proposed method utilizes a block chain to record each and every revocation-related operation to provide forward secrecy. Through a comparative analysis, we evaluate the performance of our approach against existing methods. The results highlight that our method performs better in terms of response time and various performance metrics.

The effect of preference elicitation methods on the user experience in conversational recommender systems

The prevalence of conversational interfaces is rapidly rising, since improved algorithms allow for remarkable proficiency in understanding and generating natural language. This also holds for Conversational Recommender Systems (CRS), that benefit from information being provided by the user in the course of the dialogue to offer personalized recommendations. However, the challenge remains eliciting the user's characteristics and preferences in a way that leads to the most optimal user experience. Hence, the current research was aimed at investigating the effect of different Preference Elicitation (PE) methods on the user experience of a CRS. We introduce two axes across which PE methods can be classified, namely the degree of system prompt guidance and the level of user input restriction. We built three versions of a CRS to conduct a between-subjects experiment which compared three conditions: high guidance-high restriction, high guidance-low restriction and low guidance-low restriction. We tested their effect on ten constructs of user experience measures on 66 European participants, all working in agriculture or forestry.The study did not find any significant effects of the three preference elicitation methods on all user experience constructs collected through questionnaires. However, we did find significant differences in terms of the objective measures chat duration (Speed), response time (Cognitive Demand) and recommendation performance (Accuracy of Recommended Items). Regarding the recommendation performance, it was found that the preference elicitation methods with high guidance led to a higher match score than the condition with low guidance. The certainty score was highest in the condition with high guidance and high input restriction. Finally, we found through a question at the end of the conversation that users who were satisfied with the recommendation responded more positively to six out of ten user experience constructs. This suggests that satisfaction with the recommendation performance is a crucial factor in the user experience of CRSs.

Emergency Service Response Time Performance Analysis in the Hospitals with Level Two Health Facilities: Comparative Study

The Emergency Unit (ER) is a part of the hospital that provides rapid treatment for patients according to the severity of their condition. Response time is the speed of the medical team in the ER in treating patients, starting from the moment the patient arrives until medical action is given. Fast and precise response time can reduce the complications that can arise and the patient's cost burden. The number of patients and the number of nurses that are not comparable can affect the response time of nurses. Research observing and comparing response times is still very limited. This study aims to determine the difference in service response time in the ER in two hospitals with second-level health facilities. This type of research is quantitative using a descriptive comparative approach. The research method uses observation and questionnaire methods. Data collection directly using the stopwhatt tool. Sampling was taken using the Accidental sampling technique. Data analysis used the difference between two means test with Mann-Whitney. Observations were carried out on nurses in the emergency room totaling 52 observations in each hospital for three months. The results of the analysis show a value of P = 0.688, where this probability value is more than 0.05, so the hypothesis fails to be rejected, so it can be concluded that statistically there is no significant difference in the Response Time of nurses in the two Emergency Units. Nurses must provide a response time according to the regulations set by the Ministry of Health, namely less than five minutes.

A coumarin-based near infrared fluorescent probe for the detection of hydrogen sulfide/sulfur dioxide and mitochondrial viscosity

Existing studies have implied that H2S, SO2, and viscosity have potential interrelationships in diseases such as inflammation in the body. Developing fluorescent probes that can simultaneously distinguish and detect the three will be beneficial for relevant workers to explore their potential interrelationships in physiology and pathology. Due to the similar chemical properties of HS− and SO32− (both possessing strong nucleophilic properties), it presents a task with certain challenges that demand careful consideration to detect and differentiate between them using a single probe capable of simultaneously monitoring viscosity changes. In this study, we have designed and prepared a near-infrared fluorescent probe capable of distinguishing and detecting HS−, SO32−, and viscosity, as well as targeting mitochondria. The response of this probe to HS− and SO32− is quenching type and ratio type, respectively, with extremely low detection limits (LOD1 = 0.60 nM for HS−, LOD2 = 1.28 μM for SO32−), fast response time (T1 = 1 min for HS−, T2 = 2 min for SO32−), good selectivity and outstanding anti-interference performance. The monitoring of the viscosity of the probe also shows superior performance. As the viscosity enhances from 0.89 cP to 1412 cP, the fluorescence signal value increases by 52 times, and the trend of fluorescence intensity with viscosity well complies with the Förster-Hoffmann equation. To better understand the response mechanism of the probe to viscosity, we conduct a more in-depth exploration using Gaussian calculations, whose results are in excellent agreement with experimental phenomena. In addition, the probe has successfully achieved monitoring and imaging of HS−, SO32−, and viscosity in Hela cells and 97H cells.

Analisis Sistem Kinerja PLC Pada Air Dryer di Unit Utilities PT. X

The refinery process in PT. X relies on several supporting units, including the air dryer in the utilities section, which is essential for removing water content from compressed air to support refinery operations. This research aimed to analyze the performance of the Programmable Logic Controller (PLC) system in the air dryer units (A, B, C, and D), each comprising two towers that can operate alternately or simultaneously. The conventional TM series controller was replaced with a Schneider Electric Modicon M340 PLC to enhance system reliability and digitization. A methodical approach was adopted, beginning with data collection from sensors connected to the PLC, followed by processing the data using predefined logic instructions. The research findings indicated significant improvements in operational efficiency, response time, and energy consumption with the PLC system compared to the TM series. The PLC system also facilitated continuous and precise control of the drying and regeneration processes. These findings underscore the importance of adopting advanced PLC systems to ensure higher operational efficiency and reliability in industrial applications. Consequently, this research advocates for the comprehensive upgrade of conventional control systems to PLCs in similar industrial settings.

Research on AFDX network configuration testing technology

The terminal system, as a key part of AFDX network data transmission, determines the communication performance of the entire AFDX network. In order to test the functionality of the verification end system and evaluate the transmission performance of the AFDX network, this article proposes an AFDX network configuration testing method. Firstly, the configuration testing specifications for the end system is designed, an overall framework for end system testing is established; the testing response mechanism of the end system is studied; the testing process is standardized; and generated configuration files are as input information for algorithm design in the following stage. Secondly, incentive data generation algorithms is designed, incentive data generation frameworks is established, the constraints for data transmission are formalized, and incentive data transmission schedules are generated using SMT solvers. Next, an AFDX network configuration testing tool is designed and implemented; the performance from the perspectives of operational stability and response time is evaluated to prove the effectiveness of the tool. Finally, the types and performance of the seven clock function modules in the overlay network configuration are tested, and the experimental results prove the effectiveness of the network configuration testing method.

P‐176: New liquid crystal materials for high‐contrast displays of the fringe‐field switching mode

Since the establishment of liquid crystal display industries, larger sizes, faster response, higher contrast ratio, higher resolution and lower power consumption have become a pursuing target of various panel suppliers. Considering the marvelous viewing angle of the fringe‐field switching (FFS) mode, FFS displays with a higher contrast ratio are able to show more details in the dark pictures, resulting in a much better viewing experience. Herein, to develop the next‐generation liquid crystal (LC) materials for high‐contrast FFS panels, various high‐contrast LC (HCLC) materials were designed. By minimizing Δn and maximizing Kave, HCLCs exhibited lower light leakage in dark states, leading to a higher contrast ratio compared to the reference. Two HCLCs for improving the operation voltage, transmittance, contrast ratio and response time were developed by optimizing the properties of HCLC materials. Furthermore, FFS monitors with a contrast ratio of 2820:1 and a color gamut of 96.4% NTSC were demonstrated.

A decision-making framework for automating distribution centers in the Retail supply

Warehouse/distribution center (DC) automation technology for the retail industry promises to reduce operational costs, improve flexibility and response time for customers, and help improve network productivity, thus making it very relevant for omni/multichannel (OC/MC) settings. However, the investment required to acquire the DC automation technology is high, and hence, the investment decision must be operationally and financially comprehensive. In fact, an automated DC has a network-wide impact: it can benefit players in the network, but in turn is exposed to network risks and the investment must be safeguarded. While the need for a comprehensive decision-making framework and safeguarding strategy is stressed by scholars, such a framework is lacking. Further, corresponding integrated sub-frameworks for key elements in the OC/MC value chain are also missing. In this paper, we address these gaps and contribute by providing a) generalized and integrated three-part framework, b) corresponding sub-frameworks, c) discrete event, economic, and math programming models, d) rapid-sizing/analysis tools based on: i) analysis at the DC-level, ii) network level, iii) economic/business level, and iv) contract level (sustainable supplier/distribution relationship). In this reference, we investigate a new generation ‘full-case’ technology that has been recognized as a key to warehouse automation. The insights from our research inform several strategic tradeoffs (extent of automation, investment in labor vs. capital, response vs. efficiency, and sustainable supplier management) relevant for decision-making and safeguarding an expensive asset such as an automated DC. Our analysis is based on interviews (retailers, automated and conventional DCs, and DC equipment suppliers), on-site observations, secondary data, and learning from analytical models. We also present an illustrative real-life application/case study of the framework and the modeling details in the E-component.

PERFORMANCE COMPARISON ANALYSIS OF SPRINGBOOT AND LARAVEL FRAMEWORKS USING API WEB SERVICE

This study is meant to know difference in performance between web service built with Laravel and Spring Boot. To know the performance of both framework two web service is made with Representational State Transfer Application Interface or (REST API) as a common means to communicate to send data with Create, Read, Update, and Delete (CRUD) method to a similar database. The response time Performance from both of the framework is calculated by simulating usage that is 10000 request for each method Post, Get, Update, and Delete. The result from the test of Spring Boot and Laravel using Apache Jmeter is that with 10000 request using Postt, Get, Put and Delete method in order Spring Boot has request time advantage that is 44,8ms, 45,37ms, 109,5ms, 42ms compared Laravel 291,98ms, 301,2ms, 426,54ms, 273,06ms.

Refining ambulance clinical response models: The impact on ambulance response and emergency department presentations.

The ambulance service in Victoria, Australia implemented a revised clinical response model (CRM) in 2016 which was designed to increase the diversion of low-acuity Triple Zero (000) calls to secondary telephone triage and reduce emergency ambulance dispatches. The present study evaluates the influence of the revised CRM on emergency ambulance response times and ED presentations. A retrospective study of emergency calls for ambulance between 1 January 2015 and 31 December 2018. Ambulance data were linked with ED presentations occurring up to 48 h after contact. Interrupted time series analyses were used to evaluate the impact of the revised CRM. A total of 2 365 529 calls were included. The proportion allocated a Code 1 (time-critical, lights/sirens) dispatch decreased from 56.6 to 41.0% after implementation of the revised CRM. The proportion of calls not receiving an emergency ambulance increased from 10.4 to 19.6%. Interrupted time series analyses demonstrated an improvement in Code 1 cases attended within 15 min (Key Performance Indicator). However, for patients with out-of-hospital cardiac arrest or requiring lights and sirens transport to hospital, there was no improvement in response time performance. By the end of the study period, there was also no difference in the proportion of callers presenting to ED when compared with the estimated proportion assuming the revised CRM had not been implemented. The revised CRM was associated with improved Code 1 response time performance. However, there was no improvement in response times for high acuity patients, and no change in the proportion of callers presenting to ED.

Exploiting hashing for concurrent query processing and indexing of current location of moving objects

SummaryDue to recent developments in location‐based services and mobile computing, the need for indices for moving objects has been strengthened to improve the response time of a query operation. With a single index in place for managing both the update and query operations for moving objects, the index needs to be updated each time the object moves. This deteriorates the performance of concurrent query operations. It is critical to handle the conflicts between continuous update and query operations effectively using appropriate concurrency control protocol otherwise, inconsistent results will be reported. Many indices have been proposed in the literature for moving objects but they lack the support for processing concurrent operations. Further, the consistent indices in the literature are based on tree structure that have computationally expensive split/merge operations that can negatively affect the response time of query processing algorithms. Moreover such tree based indices are proposed for historical and future timeline data. As the scope of this article is on current timeline and concurrent continuous query operations, therefore, we exploit state of the art hash‐based indices in the literature and presented the two consistent versions. The comparative analysis of the indices is performed and meaningful findings are also presented along.

Don’t Test After Lunch: The Relationship Between Disengagement and the Time of Day That Low-Stakes Testing Occurs

ABSTRACT When student achievement is assessed, we seek to elicit a student’s maximum performance – a goal requiring the assumption that the student is fully engaged. Otherwise, to the extent that disengagement occurs, test performance is likely to suffer. Effectively managing test-taking disengagement requires an understanding of the testing conditions under which disengagement is more likely. This study investigated the association between disengagement and the time-of-day testing occurred for a widely used low-stakes, computer-adaptive achievement test in grades 2–8. Disengagement was measured using two indicators: response time effort (RTE) and performance decline. Results showed clear evidence for a time-of-day effect for RTE, with the prevalence of students exhibiting low RTE (<.90) tripling during the school day in Math, and nearly doubling in Reading. In contrast, the prevalence of significant performance decline showed little change across time of day. Reasons for differences in results for the two disengagement indicators are discussed.

A phenothiazine-based ratiometric fluorescence probe for the detection of hydroxylamine in real water and living cells.

In this study, a phenothiazine-based ratiometric fluorescent probe PCHO was developed for highly sensitive and specific detection of hydroxylamine (HA). In the presence of HA, the aldehyde group on the PCHO molecule underwent a specific nucleophilic addition with HA to form an oxime group, accompanied by significant changes in fluorescence from green to blue. This detection mechanism was well supported by 1H NMR titration, HRMS and DFT calculations. The probe PCHO exhibited high sensitivity for HA detection (LOD was 0.19 μM) with a rapid response time (1 min), high selectivity and strong anti-interference performance. Surprisingly, the probe PCHO could selectively distinguish HA from its similar competing agents such as hydrazine and amines. Moreover, paper strips loaded with PCHO were prepared and combined with a smartphone to achieve point-of-care and visual detection of HA. The probe PCHO was further applied for the detection of HA in real water samples, achieving a recovery rate of 98.90% to 104.86% and an RSD of 0.86% to 2.44%, confirming the accuracy and reliability of the method. Additionally, the probe PCHO was used for imaging analysis of HA in living cells, providing a powerful visualization tool for exploring the physiological functions of HA in vivo.

Ion-sensitive field effect transistor biosensors for biomarker detection: current progress and challenges.

The ion-sensitive field effect transistor (ISFET) has emerged as a crucial sensor device, owing to its numerous benefits such as label-free operation, miniaturization, high sensitivity, and rapid response time. Currently, ISFET technology excels in detecting ions, nucleic acids, proteins, and cellular components, with widespread applications in early disease screening, condition monitoring, and drug analysis. Recent advancements in sensing techniques, coupled with breakthroughs in nanomaterials and microelectronics, have significantly improved sensor performance. These developments are steering ISFETs toward a promising future characterized by enhanced sensitivity, seamless integration, and multifaceted detection capabilities. This review explores the structure and operational principles of ISFETs, highlighting recent research in ISFET biosensors for biomarker detection. It also examines the limitations of these sensors, proposes potential solutions, and anticipates their future trajectory. This review aims to provide a valuable reference for advancing ISFETs in the field of biomarker measurement.

Myricetin-based fluorescence probes with AIE and ESIPT properties for detection of hydrazine in the environment and fingerprinting

BackgroundHydrazine (N2H4) is a highly toxic and versatile chemical raw material, which poses a serious threat to the environment and human health when used in large quantities. However, the traditional methods for the detection of N2H4 have the disadvantages of time-consuming, complicated operation and expensive instruments. In contrast, fluorescence probes have many advantages, such as simple operation, high sensitivity, good selectivity, and fast response time. Therefore, there is an urgent need for a fluorescence probe that can rapidly and accurately detect the presence of N2H4 and monitor the changes in its concentration. ResultsFor this purpose, we designed and synthesized a series of myricetin fluorescence probes 3-(substituent group)-5,7-dimethoxy-4-oxo-2-(3,4,5-trimethoxy.phenyl)-4H-chromen-4-one (Myr-R) for N2H4 detection. In the presence of N2H4, the probe 5,7-dimethoxy-3-(2,3,4,5,6-pentafluorobenzoate)-2-(3,4,5-trimethoxyphen-yl).-4H-chr-omen-4-one (Myr-3) shows significant fluorescence changes, double emission properties and a large Stokes shift (183 nm), and exhibits high selectivity and sensitivity to N2H4 (The detection limit is 93 nM). Importantly, the qualitative and quantitative analysis of N2H4 in water, soil, and air can be accomplished using fluorescence, smartphone, and UV lamps coupled with Myr-3. In addition, Myr-3 can be used for monitoring and imaging intracellular N2H4. Meanwhile, the fluorophore 3-hydroxy-5,7-dimethoxy-2-(3,4,5-trimethoxyphenyl)-4H-benzopyran-4-one (Myr-Me) was applied to fingerprinting of different substrate materials due to the fact that it exhibits strong yellow fluorescence emission in the solid state and shows excellent contrast and high resolution. SignificanceThe probe Myr-3 is not only able to rapidly detect N2H4 in complex environments, but also can be used for imaging intracellular N2H4. In addition, the fluorophore Myr-Me can be used as an effective imaging agent for visual fingerprinting. These properties enable the probe Myr-3 and the fluorophore Myr-Me for a wide range of potential applications in related fields.

Civil and Commercial Jurisprudence Observations on Intelligent Social Governance

Abstract The purpose of civil and commercial jurisprudence observation is to realize the intelligent and innovative development of social governance and to improve the efficiency of related cases. This paper develops a civil and commercial jurisprudence case information analysis system that utilizes MVC architecture and intelligent technology. The BERT pre-training model and self-training model are combined for the construction of a civil and commercial jurisprudence legal information extraction model, which helps judicial personnel understand the scope of civil and commercial jurisprudence cases in the process of social governance. Then, the ILJP is used as the basis to combine the fact encoder, the element predictor and the legal cause predictor to carry out the construction of the interpretable legal cause intelligent research and judgment model, which provides an intelligent research and judgment program for the civil and commercial jurisprudence social governance cases. The effectiveness of the civil and commercial law case analysis system is an important guarantee to enhance intelligent social governance, so this paper carries out a test and analysis of its intelligent algorithm and system performance. The results show that the legal information extraction model tends to stabilize after the first 15 iterations of training, and its validation loss value is around 0.173, and the training loss value of the model is around 0.008 when the training of the intelligent research and judgment model reaches 200 rounds. When the information analysis system of civil and commercial law cases reaches 1,000 concurrent users, the average response time of each logical operation does not exceed 3s, and the occupancy rate of CPU and memory resources is over 30%. The information age needs to fully combine technology and social governance in order to deeply mine the information of civil and commercial jurisprudence related cases, improve the efficiency of social governance, and innovate the intelligent development of social governance.