Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of organic electrochemical transistors for sensor applications

Despite the recent interest in organic electrochemical transistors (OECTs) as chemical and biological sensors, little is known about the role that device architecture and materials parameters play in determining sensor performance. We use numerical modeling to establish design rules in two regimes of operation: We find that for operation as an ion-to-electron converter, the response of OECTs is maximized through the use of a gate electrode that is much larger than the channel or through the use of a nonpolarizable gate electrode. Improving the conductivity of the polymer and using a channel geometry that maximizes channel width and thickness, and minimizes channel length helps increase the response. For operation as an electrochemical sensor, the sensitivity is maximized in OECTs with gate electrodes that are smaller than their channels. The sensitivity can be improved by increasing the charge carrier mobility and the capacitance per unit area of the conducting polymer, and also its ability to be penetrated by ions from the electrolyte. A channel geometry that maximizes channel width and minimizes channel length also improves sensitivity.
A SINGLE SERVER BULK INPUT QUEUE WITH RANDOM FAILURES AND TWO PHASE REPAIRS WITH DELAY

We study a batch arrival single server queueing system, where the server (service channel) provides one by one general service to customers. It is assumed that the service channel goes through random failures from time to time. As the result of a breakdown, the service of a customer in service is suspended, the service channel waits for the repairs to start and this waiting time termed as ‘delay time’ is assumed to be general. Further, the repair process involves two phases of repairs with different general repair time distributions. We derive the queue size distribution as well as mean number of customers in the system at a random epoch under the steady state conditions. In addition, we discuss some particular cases and derive some known results known earlier.
Fast, live-cell imaging of 15 intracellular compartments by deep learning segmentation of super-resolution data

The number of colors that can be used in fluorescence microscopy to image the live-cell anatomy and organelles’ interactions is far less than the number of intracellular organelles and compartments. Here, we report that deep convolutional neuronal networks can predict 15 subcellular structures from super-resolution spinning-disk microscopy images using only one dye, one laser excitation, and two detection channels. Comparing to the colocalization images, this method achieves pixel accuracies of over 91.7%, which not only bypasses the fundamental limitation of multi-color imaging but also accelerates the imaging speed by more than one order of magnitude.
A phase tracking system for three phase utility interface inverters

The analysis and design of the phase-locked loop (PLL) system is presented for the phase tracking system of the three phase utility interface inverters. The dynamic behavior of the closed loop PLL system is investigated in both continuous and discrete-time domains, and the optimization method is considered for the second order PLL system. In particular, the performance of the three phase PLL system is analyzed in the distorted utility conditions such as the phase unbalancing, harmonics, and offset caused by the nonlinear load conditions and measurement errors. The tracking errors under these distorted utility conditions are also derived. The phase tracking system is implemented in a digital manner using a digital signal processor (DSP) to verify the analytic results. The design considerations for the phase tracking system are deduced from the analytic and experimental results.
Traderbots: a new paradigm for robust and efficient multirobot coordination in dynamic environments

The challenge of efficient multirobot coordination has risen to the forefront of robotics research in recent years. The wide range of applications demanding multirobot solutions motivates interest in this problem. In general, multirobot coordination strategies assume either a centralized approach, where a single agent plans for the group, or a distributed approach, where each robot is responsible for its own planning. Inherent to many centralized approaches are difficulties such as intractable solutions for large groups, sluggish response to changes in the local environment, heavy communication requirements, and brittle systems with single points of failure. The key advantage of centralized approaches is that they can produce globally optimal plans. While most distributed approaches can overcome these difficulties, they can only produce suboptimal plans because they cannot take full advantage of information available to all team members. This work develops TraderBots, a market-based coordination approach that is inherently distributed, but can also opportunistically form centralized subgroups to improve efficiency. Robots are self-interested with the primary goal of maximizing individual profits. The revenue and cost models and the rules of engagement are designed so that maximizing individual profit has the benevolent effect of, on average, moving the team toward the globally optimal solution. This approach inherits the flexibility of markets in allowing cooperation and competition to emerge opportunistically. This dissertation addresses the multirobot coordination problem for autonomous robotic teams executing tasks in dynamic environments where it is efficient solutions are desirable. Contributions of this dissertation are the first extensive investigation of the application of market-based techniques to multirobot coordination, the most versatile coordination-approach for dynamic multirobot application domains, the first market-based approach to multirobot coordination that allows opportunistic optimization by “leaders”, the first in-depth investigation of the requirements for robust multirobot coordination in dynamic environments, the most extensive implementation of a market-based approach to multirobot coordination, and first steps in a systematic approach for evaluating and comparing multirobot coordination strategies.
Assessment of contributions of successful TPM initiatives towards competitive manufacturing

– The purpose of this paper is to investigate the contributions of successful TPM initiatives to competitive manufacturing. It also seeks to critically examine implications of strategic TPM implementation initiatives in Indian manufacturing organizations. , – A reasonably large number of manufacturing organizations with successful experience of TPM initiatives have been surveyed to assess the contributions of strategic TPM practices to accruing manufacturing competencies. The study involves working out the correlations between various TPM success factors and manufacturing competencies for extracting contributions of significant factors towards realization of manufacturing competencies. , – It was found that mere adoption of TPM initiatives does not lead organizations to garner strategic manufacturing competencies. The study highlights that holistic TPM initiatives have a significant impact on the realization of strategic manufacturing competencies in organizations. These interrelationships can be used to understand the effect of various TPM success factors on the realization of an organization's objectives of growth and sustainability. , – The study has been conducted to develop an understanding of contributions of TPM initiatives towards building manufacturing competencies in the Indian manufacturing industry. The study investigates manufacturing performance achievements accrued through strategic TPM success factors in the Indian manufacturing industry. , – The study identifies the impact of key TPM success factors on organizational performance and highlights the need for successfully managing TPM programmes for establishing sustained maintenance improvement initiatives. , – The paper stresses the need for strategically managing TPM programmes successfully in organizations in order to realize the true potential of TPM practices for meeting global competition.
Enhanced filter using coefficients optimized for images Lansat

Abstratct. In this study accomplish several experiments with the filters optimized of weights, through different bases of the transformed wavelet. Our goal was to determine a filter that it introduces a good highlight in the images of the orbital optical sensors. They were used one image of the city of Campinas of the interior of the state of Sao Paulo in Brazil. The results were best when compared to the obtained with the ideal filter of good used contrast in this study.
TPM implementation in Land‐Rover with the assistance of a CMMS

Details how Land‐Rover was one of the leading companies in the UK to adopt total quality management (TQM). Shows that in order to provide both effective and efficient maintenance in accordance with TQM needs, Land‐Rover (LR) reintroduced in 1994 total productive maintenance (TPM) in its manufacturing plant in Birmingham, UK. TQM is not possible without TPM so demonstrates how, in order to achieve its goals, TPM in LR is assisted by a computerized maintenance management system (CMMS). Describes in full the implementation steps of TPM, the difficulties encountered, and the usefulness and necessity of a computerized maintenance management system (CMMS) for the successful implementation of TPM in LR.
In silico screening of drug inhibitors of SARS-CoV-2RNA-dependent RNA polymerase target

Objectives: the COVID-19 pandemic triggering acute respiratory syndrome has become a major global health concern. After one year into this pandemic, special therapies for COVID-19 remain an unprecedented challenge to mankind and finding drugs to treat this disease is extremely urgent. The SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) enzyme that regulates viral replication has been examined as a potential therapeutic target for the inhibition of SARS-CoV-2 infection. In this study, the authors evaluated the ability of RNA-dependent RNA polymerase drug inhibitors by using an in silico molecular docking model. Methods: the 3D structure of RdRp enzyme (PDB ID:6M71, resolution of 2.90 Å) was derived from the Protein Data Bank RCSB. The ligand structures were collected from DrugBank for the RdRp target. Molecular docking was done by AutoDock Vina software. Lipinski’s rule of five is used to compare compounds with drug-like and non-drug-like properties. Pharmacokinetic parameters of potential compounds were evaluated using the pkCSM tool. Results: based on the DrugBank database, we collected 192 antiviral molecules and compared them to remdesivir, which has inhibitory activity with this protein target. Results showed that 26 out of 192 compounds have a higher ability to inhibit the SARS-CoV-2 RdRp enzyme than remdesivir. Next, 6 drugs were selected by visually inspecting the docking results with focus on the main interaction between crucial residues at the binding site of the SARS-CoV-2 RdRp enzyme. For the visual inspection, the existence of polar interactions with ASP760 and ASP761 were utilised as the preference criterion. Finally, Lipinski’s rule of 5 criteria and absorption, distribution, metabolism, excretion and toxicity (ADMET) profile analysis suggested five drugs that have good pharmacokinetic properties. Conclusions: these drugs were dihydroergotamine, sofosbuvir, nilotinib, tipranavir, and darunavir and may be used as anti-SARS-CoV-2 agents.
Information systems evaluation in context - impact of the corporate level

The paper presents the results of a doctoral research related to Information Systems evaluation in context. The authors propose changes in the context, the new level of contextual analysis was added: the system context located between the internal and external context. The system context reflects the fact that the case companies are business units and parts of the corporations and IS evaluation is influenced by the corporation, Three levels of context analysis can be used in case of IS evaluation in complex structures, such as corporations or supply chain.
Pre-service teachers’ ethical role construction in China

ABSTRACT This study examines pre-service teachers’ construction of ethical roles in teaching practice in China. This study finds that three major changes emerged in pre-service teachers’ understanding of teacher ethics after teaching practice: viewing caring as an interactive relationship between teachers and students, emphasising teachers’ sacrifice, and highlighting authority in the teacher-student relationship. This study supplements the extant literature by highlighting university and teaching schools’ roles in facilitating pre-service teachers in-depth interaction with pupils and teachers to facilitate their moral learning through fieldwork.
Artificial Intelligence and Data Analytics for Virtual Flow Metering

Modern challenges in reservoir management have recently faced new opportunities in production control and optimization strategies. These strategies in turn rely on the availability of monitoring equipment, which is used to obtain production rates in real-time with sufficient accuracy. In particular, a multiphase flow meter is a device for measuring the individual rates of oil, gas and water from a well in real-time without separating fluid phases. Currently, there are several technologies available on the market but multiphase flow meters generally incapable to handle all ranges of operating conditions with satisfactory accuracy in addition to being expensive to maintain. Virtual Flow Metering (VFM) is a mathematical technique for the indirect estimation of oil, gas and water flowrates produced from a well. This method uses more readily available data from conventional sensors, such as downhole pressure and temperature gauges, and calculates the multiphase rates by combining physical multiphase models, various measurement data and an optimization algorithm. In this work, a brief overview of the virtual metering methods is presented, which is followed by the application of several advanced machine-learning techniques for a specific case of multiphase production monitoring in a highly dynamic wellbore. The predictive capabilities of different types of machine learning instruments are explored using a model simulated production data. Also, the effect of measurement noise on the quality of estimates is considered. The presented results demonstrate that the data-driven methods are very capable to predict multiphase flow rates with sufficient accuracy and can be considered as a back-up solution for a conventional multiphase meter.
MEASURING AND IMPROVING THE MOMENTUM ACCEPTANCE AND HORIZONTAL ACCEPTANCE AT MAX III

Lifetime measurements for varying horizontal scraper positions performed at different RF frequencies suggested a horizontal aperture restriction in the MAX III synchrotron light source. A combination of local orbit distortions and horizontal scraper measurements pinpointed the location of the horizontal aperture restriction to the center of the main cavity straight section. The aperture restriction was determined to be located 10.4 ± 0.3 mm from the beam center. The precise result was achieved by measurements and calculations of the Touschek lifetime as a function of the main cavity voltage. Realignment of the main cavity increased the average lattice momentum acceptance from 0.0116 ± 0.0003 to 0.0158 ± 0.0003 and the horizontal acceptance from 26 ± 2 × 10 −6 m to larger than 44 ± 2 × 10 −6 m. The increase in momentum acceptance increased the lifetime in MAX III by a factor of two.
Effect of Delays and Data Dropout on the Performance of Synchro-phasor based Power System Stabilizers

The conventional approach to designing damping controllers is to use Power System Stabilizers (PSSs). The PSSs are mostly local controllers. Today, the availability of Phasor Measurement Units (PMUs) opens up the possibility of using remote signals in the design of damping controllers. In a typical PMU network, buffering, demultiplex/ multiplex points and routing can introduce tens to hundreds of milliseconds and these delays are not predictable [ieee11]. There is also a possibility to miss samples of the remote signal due to finite waiting time at the Phasor Data Concentrator (PDC) [ieee11]. These issues will have to be understood and addressed before wide-area damping controls are implemented in actual power systems. In this study we investigated the effect of delays and missing signals in the feedback path on the performance of the controller. An adopted two area four generator system [kund10] is used as the study system for this analysis. A phase advance type PSS was designed to improve the damping of the critical mode of this system, with a remote signal being used as the input to the PSS. Analysis of the delay is carried out including the designed PSS in the system. The constant delay modeling method which is used in this study is discrete transformation [astr84]. The sensitivity of constant delays to the critical eigen-value is analysed by tracing the critical mode of the system in the complex plane. The relationship between phase lag introduced by the constant delay and the direction of movement of the critical eigenvalue in the Eigen plane is clearly identified. Effect of random delays and data dropout are also studied using MATLAB Simulink. The phase compensation appropriate for random delays is also investigated for two different probability distributions, uniform and normal.
Ground plane effects on the performance of SDARS antennas

Almost since the announcement of satellite digital audio radio services (SDARS), there has been a discussion about the challenging performance requirements for automotive antennas to receive these services. Regarding vehicle design, packaging and integration aspects, "non perfect" antenna mounting locations are playing a decisive role for the practical application of SDARS antennas on a car. The technically optimum antenna mounting location for these satellite based services, the center of the roof, is very often not available because of other conflicting vehicle design parameters and the existence of other components, which make cars enjoyable, e.g., a sliding roof. This paper focuses on the characterization of an SDARS antenna, mounted on different ground planes to show basic ground plane influences corresponding to a wide variety of car metal body shapes serving as antenna ground plane configurations. It is shown that the 3-dimensional antenna diagrams vary with respect to the different sizes and shapes of the applied ground plane, even if the same antenna module is used. This investigation helps to understand environmental influences on the performance of SDARS-antennas, if applied to a vehicle (see Kronberger, R. et al., ibid, p.740-3).
Association of nutritional status and mortality risk in patients with primary pulmonary hypertension

Abstract Malnutrition plays a crucial role in pulmonary hypertension (PH). The prognostic nutritional index (PNI) is a reliable indicator for nutritional status assessment. However, its relationship with mortality risk in PH patients has not yet been investigated. This study analyzed data from the Patient Registry for Primary PH. PNI was calculated through albumin and lymphocyte counts. Subjects with missing data for PNI calculation were excluded. The primary endpoint was all‐cause mortality. Cox proportional hazard model was used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs). Of the 317 patients records available in the registry, we finally included 136 patients. The average age of the included subjects was 40.56 (14.91) years and 63.24% (86/136) were female. In our analysis of Cox regression, per 1‐point increment of PNI was associated with 4% decreased risk of mortality in PH patients (age‐ and sex‐adjusted HR: 0.96, 95% CI: 0.93–0.98, p = 0.002). We further categorized these subjects by quartiles of PNI. Compared to quartile 4, the age‐ and sex‐adjusted HRs of death for quartiles 1, 2, and 3 were 2.39 (95% CI: 1.21–4.72, p = 0.01), 2.25 (95% CI: 1.15–4.39, p = 0.02), and 1.72 (95% CI: 0.84–3.52, p = 0.14). In addition, logistic regression analyses suggested a positive correlation of PNI with total lung capacity (β = 0.98, p = 0.002) and forced expiratory volume in 1 min (β = 1.53, p = 0.03). This study demonstrates that low PNI was associated with an increased risk of death in PH patients. These findings help to enlighten our understanding of the nutritional status and adverse outcomes in PH patients.
Magnetism in Microwave Devices

The functions of ferrite components in advanced microwave systems are briefly outlined, and the principal requirements described. The successful development of these sophisticated devices is the cumulative result of contributions from many areas of basic research and technology. As an example of the dependence of device performance on diverse efforts, the status and evolution of ferromagnetic digital phasers are reviewed. In this instance, materials research, ceramic technology, methods of numerical analysis, and the understanding of basic damping mechanisms have all contributed to the realization of practical devices. The application of ferrite devices to microwave integrated circuits is also outlined and some recent experimental results given. Other new trends in the field of microwave ferrite devices are briefly mentioned, as are areas most in need of further research.
Two dimensional simulation of MOS transistors

In this report an overview is given of the results of the research on two dimensional simulation of MOS transistors that has been performed by the author from 1978 to 1981. In 1981 the program CADDET became available for the simulation of the steady state behaviour of various two dimensional field effect devices. Some results of the program CADDET will be discussed that have been made visible by means of a graphical postprocessor.
A Bayesian approach for verifying process improvement

This research is an effort to introduce the Bayesian approach as a tool for evaluating process adjustments aimed at causing a shift to the process average. This is usually encountered in scenarios where the process is found to be stable and centered away from the design target. A number of changes is proposed and tested as part of the improvement efforts. As such, it is desired to evaluate the effect of these changes as soon as possible and take appropriate actions. Using simulated data, the performance of the proposed approach is measured in terms of the number of measurements (iterations) needed to estimate the true average. The results indicate that the Bayesian approach can be used to verify process improvement.
Can burn-in screen wearout mechanisms?: reliability modeling of defective subpopulations-a case study

The author presents a specific industrial reliability study involving mobile ionic contamination of integrated circuits. Experiments were conducted to investigate the reliability implications for field usage. The existence of defective subpopulations is verified. The author determines the failure distribution for the failure mechanism. He calculates an activation energy and develops a model for expected field behavior. The models are checked for goodness of fit. The author generates curves that allow any product user to predict field behavior based on historical performance. This investigation illustrates several important principles of designing and analyzing an experiment to determine whether defective subpopulations exist. Issues concerning spontaneous recovery of failures and the results of different bake (time and temperature) conditions on heating failures are addressed. <<ETX>>