Miracle-dz/UniFAR-FTUs huggingface dataset:
Transportation Routing Problem—A Survey

Abstract In the Transportation Routing Problem, a manager or analyst must schedule an existing fleet of vehicles, each with a capacity constraint, to visit a set of stops or destinations and deliver or pick up goods or services at each stop such that one and only one vehicle visits each stop. The problem is to assign these vehicles to the stops so as to minimize total cost which is assumed to be directly proportional to the total distance traveled. Much work has been done on this problem and heuristic as well as optimal seeking methods have been developed. This paper examines the problem, develops a standard formulation, reviews the literature on the problem, and mentions some new approaches.
Nine Pyroptosis-Related lncRNAs are Identified as Biomarkers for Predicting the Prognosis and Immunotherapy of Endometrial Carcinoma

Background Endometrial carcinoma (EC) is one of the most common malignancies. Immunotherapy has shown promising effects in the treatment against specific subtypes of EC. Methods The RNA and clinical information of patients with EC were acquired from The Cancer Gene Atlas (TCGA) database. Firstly, the differentially expressed pyroptosis-related lncRNAs (PRLs) were screened between the tumor and normal control tissue. Secondly, the PRLs closely related to survival were identified by univariate and multivariate regression analysis, based on which, we evaluated the risk score for each EC patient to construct a risk signature. Moreover, we assessed the prognostic value, clinical relevance immunity, and immunotherapy based on this signature. Results We screened out 9 individual PRLs (AC087491.1, AL353622.1, AL035530.2, LINC02036, AL021578.1, AL390195.2, AC009097.2, AC004585.1, and AC244517.7) closely related to the prognosis of EC. Kaplan–Meier analyses showed a poorer prognosis for the patients in the high-risk FRLs signature (P < 0.001). The area under the curve (AUC) for 1 year, 2 years, 3 years was 0.693, 0.694, 0.750, respectively. Our risk model could be considered as an independent prognostic marker for EC (P < 0.001, HR:2.172, 95% CI:1.532–3.079). Moreover, immune functions and checkpoints were generally different in the 2 groups. Simulation analysis by termed immunophenoscores hinted that immunotherapy might bring optimal therapeutic effect in the low-risk group. Conclusion We successfully developed a novel signature with 9 lncRNAs related to pyroptosis, which may be used as biomarkers to evaluate the prognosis and immune treatment of EC.
Evaluation of the Long-Term Stability of Metrology Instruments

This chapter aims to emphasize the issue of the long-term stability of instruments used in metrology. This issue is a concern mentioned in the IEC/ISO17025:2017 standard and the JCGM100:2008 guide. Control charts are mentioned in these key documents as tools to assess whether a measurement process is under statistical control or not. Control charts (Shewhart charts, CUSUM chart, EWMA chart) are introduced and tested with simulated and real datasets from metrology instruments that operate at the ionizing department of the BIPM. The interest and the limits of such statistical analysis are discussed. They take their basis in a measurement model composed of Gaussian white noise. Although a measurement monitored over a relatively short period may be consistent with this model, it has been observed that the autocorrelation of the measurement data acquired over a long period limits the relevance of control charts. In this case, time series analysis seems more appropriate than conventional control charts. As an illustration, an optimal Bayesian smoother is introduced to demonstrate how to deconvolve the low-frequency random noise and refine the evaluation of uncertainty according to the measurement model for long-term measurement.
Laser Doppler semiconductor anemometry of vortex flow behind the vane wheel rotor of the water turbine

For hydrodynamic examinations of the turbid three-phase streams with air bubbles and with a depth more than 500 mm for the first time it is developed 2D Laser Doppler Semiconductor Anemometer LADO5-LMZ. Anemometer signal processor base on <> and new procedure of adaptive selection of Doppler frequency. Complex testing of method and measuring tools have been done. Outcomes of full-scale experiments on diagnostic of nonstationary flow behind the vane wheel rotor in draught tube of the Frensis water turbine are presented from optimum regimes of activity to forced. Water discharge which has been calculated from water turbine universal performance model and calculated by measuring axial velocity profiles was compared. It is shown that the maximum aggregate error of definition of the consumption does not exceed 5%.
Retrospection of Analytical Data Collected through Smart Devices for Diseases and Disability Caused by Physical Inactivity

The basic meaning of inactive lifestyle is doing sedentary activities. This includes playing video games, watching TV, operating computers, and sitting in a particular place for a long time. It may be sitting on the train or in bus, car, or office. This has many adverse effects on our bodies. This paper emphasizes the importance of physical activity, and a case study is presented to support the hypothesis that physical activity can certainly help improve human health. The diseases caused by inactive life are discussed in our paper. In this paper, a case study is described in which 200 individuals have participated in an activity called “Activity is Life,” with the goal of improving the sedentary lifestyle and getting rid of physical ailments. The usage of analytical tools is made to analyse the data collected from the empirical research study, and IoT-based smart devices are used to capture the runtime data. The physicians and nurses have odd working hours, they have to go through many stress-induced situations, and most of them are suffering from life-threatening diseases such as depression, hypertension, cancer, and cardiovascular diseases. The main reason is inactivity in their lifestyles. To carry out an experimental study and to see the impact of regular activities on the health of doctors and nurses, a program was designed where 200 participants have participated. It is found that the activity-based 30-day program yielded great health benefits, including reduction in stress level, improvement in sleep quality index, and improvement in blood pressure values.
Perception of Information Security and its Implications for Mobile Phone

Information security is of great concern to IT users, who may hesitate or refuse to adopt IT appliances because of worries about security problems. The objective of this study was to investigate the antecedences and consequences of people's perception of information security. This study included three phases. In phase 1, a six-factor structure modeling people's perception of information security was developed through a survey study and exploratory factor analysis. In phase 2, the relations between people's perception of information security and their intention to adopt IT appliances were tested through a laboratory experiment and path analysis. Significant effects were found and a path model was developed. In phase 3, the implications of people's perception of information security for mobile phone were discussed through focus group. Mobile users' perception of mobile security in seven scenarios was summarized. Three personas of mobile security were developed.
An integrated nonlinear model-based approach to gas turbine engine sensor fault diagnostics

Aircraft engine sensor fault diagnosis is closely related technology that assists operators in managing the health of gas turbine engine assets. As all gas turbine engines will exhibit performance changes due to usage, the on-board engine model built up initially will no longer track the engine over the course of the engine’s life, and then the model-based method for sensor fault diagnosis tends to be failure. This necessitates the study of the sensor fault diagnosis techniques due to usage over its operating life. Based on our recent results, an integrated approach based on nonlinear on-board model is developed for the gas turbine engine sensor fault diagnostics in this paper. The architecture is mainly composed of dual nonlinear engine models; one is a nonlinear real-time adaptive performance model and the other a nonlinear on-board baseline model. The extended Kalman filter estimator in the nonlinear real-time adaptive performance model is used to obtain the real-time estimates of component performance, and the nonlinear on-board baseline model with performance periodically update to provide the nominal reference in flight. The novel update strategy to sensor fault threshold based on the model errors and noise level is also presented. Important results are obtained on step fault and pulse fault behavior of the engine sensor. The proposed approach is easy to design and tune with long-term engine health degradation. Finally, experiment studies are provided to validate the benefit of the engine sensor fault diagnostics.
Improved hybrid approach to transient stability assessment

The characteristics of the minimum transient kinetic energy of post-fault trajectories are studied in order to develop a tool for dynamic security assessment during the operation mode analysis of power systems. Using available commercial software a strategy for the transient stability study is introduced to enable harmless contingencies to be screened out and the classification of high-risk and harmful contingencies to be performed. Based on these characteristics, an approach to transient stability assessment is proposed and applied to the assessment at the hybrid transient energy margin for high-risk and harmful contingencies. The significant advantage of this approach is that the identification of a critical machine group is completely unnecessary. Case studies on a small test system, the ten-generator New England test power system and a realistic system, the middle-China power network are presented to verify the effectiveness and efficiency of this method.
A Harmonic Injection Method Equivalent to the Resonant Controller for Speed Ripple Reduction of PMSM

This paper proposes a straightforward and effective control strategy to reduce the periodic speed ripple of the permanent-magnet synchronous motor (PMSM). The control strategy can be described as injecting current harmonics whose amplitude and phase can be adjusted automatically to compensate for periodic speed ripple. Compared with the resonant controller with the Tustin transform, the method proposed in the paper can track speed ripple frequency without frequency displacement, realizing no steady-state error. Besides, the system stability is analyzed, and the phase compensation scheme is proposed to increase the phase stability. Moreover, the equivalence between the harmonic injection module and the resonant controller has been analyzed, which provides a simple way to understand the phase compensation of the resonant controller. The theoretical analysis and experimental results are presented to verify the feasibility of the proposed harmonic injection method.
Real-world incidence of endopthalmitis after intravitreal anti-VEGF injections in Korea: findings from the Common Data Model in ophthalmology

OBJECTIVES The aim of this study was to evaluate the real-world incidence of endophthalmitis after intravitreal anti-vascular endothelial growth factor (VEGF) injections using data from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). METHODS Patients with endophthalmitis that developed within 6 weeks after intravitreal anti-VEGF injections were identified in 3 large OMOP CDM databases. RESULTS We identified 23,490 patients who received 128,123 intravitreal anti-VEGF injections. The incidence rates of endophthalmitis were 15.75 per 10,000 patients and 2.97 per 10,000 injections. The incidence rates of endophthalmitis for bevacizumab, ranibizumab, and aflibercept (per 10,000 injections) were 3.64, 1.39, and 0.76, respectively. The annual incidence has remained below 5.00 per 10,000 injections since 2011 despite the increasing number of intravitreal anti-VEGF injections. Bevacizumab presented a higher incidence rate for endophthalmitis than ranibizumab and aflibercept (incidence rate ratio, 3.17; p=0.021). CONCLUSIONS The incidence of endophthalmitis after intravitreal anti-VEGF injections has stabilized since 2011 despite the explosive increase in anti-VEGF injections. The off-label use of bevacizumab accounted for its disproportionately high incidence of endophthalmitis. The OMOP CDM, which includes off-label uses, laboratory data, and a scalable standardized database, could provide a novel strategy to reveal real-world evidence, especially in ophthalmology.
Real time, on line, age calculation of IGBT power modules

The use of IGBT power modules in the automotive industry is becoming more and more common due to the increase in hybrid and all electric vehicles. But, unlike industrial applications the duty cycle or usage of such devices due to the environment or operating requirement is very random and not well defined. This makes predicting when the device will fail very difficult as the life of the device is dependent on its use and temperature environment. This paper describes work being done on a real time, on line prognostic algorithm which uses the operating history of the device to calculate and predict the time of failure of the device.
Statistical Analysis for Multiple Non-Linear Knock Factors in Internal Combustion Engine

In this study, we will address the problem of knocking in internal combustion engines, and some of the factors affecting the knocking, through the study of the power of the effect of each factor after finding a model representing the relationship between the factors. We found Curve fitting model from data that has been obtained through the engine test (1.3L Campro, modified to turbocharger, 4-cylinder, MPI). This model has been evaluated statistically after finding the parameters that intervened in the construction of that model.
From preclinical to clinical models of acute respiratory distress syndrome

Various preclinical models that mimic the clinical causes of acute respiratory distress syndrome (ARDS) have been used to better understand the mechanisms of acute lung injury and its repair and to investigate novel therapies targeting such mechanisms. Despite important preclinical and clinical research efforts in recent decades, few candidate therapies with promising preclinical effects have been successfully translated into the clinical scenario, which could be attributable to the intrinsic limitations of the models as well as to the incorrect identification of appropriate phenotypes of patients to target with novel therapies that have proven beneficial in select preclinical models. However, current translational research strategies based on the use of multiple complementary preclinical and clinical models hold the promise of revolutionizing intensive care by using granular knowledge that should allow for a better diagnosis, greater predictability of the disease course, and the development of targeted therapies while ensuring patient safety through reduced adverse effects. Our goal was to summarize the strengths and limitations of the available models of ARDS, including animal, in vitro, and clinical models, and to discuss the current challenges and perspectives for research.
Intelligent Fault Diagnosis of Bearing Based on Convolutional Neural Network and Bidirectional Long Short-Term Memory

The traditional bearing fault diagnosis methods have complex operation processes and poor generalization ability, while the diagnosis accuracy of the existing intelligent diagnosis methods needs to be further improved. Therefore, a novel fault diagnosis approach named CNN-BLSTM for bearing is presented based on convolutional neural network (CNN) and bidirectional long short-term memory (BLSTM) in this paper. This method directly takes the collected one-dimensional raw vibration signal as input and adaptively extracts the feature information through CNN. Then, the BLSTM is used to fuse the extracted features to acquire the failure information sufficiently and prevent the model from overfitting. Finally, two different experimental datasets are used to verify the effectiveness of the method. The experimental results show that the proposed CNN-BLSTM model can accurately diagnose the fault category of bearings. It has the advantages of rapidity, stability, antinoise, and strong generalization.
A dense RGB-D SLAM algorithm based on convolutional neural network of multi-layer image invariant feature

Simultaneous localization and mapping (SLAM) is one of the key technologies used in sweepers, autonomous vehicles, virtual reality and other fields. This paper presents a dense three-channel color images composed of red, green and blue and depth images SLAM reconstruction algorithm based on convolutional neural network (CNN) of multi-layer image invariant feature transformation. The main contribution of the system lies in the construction of a CNN based on multi-layer image invariant feature, which optimized the extraction of Oriented FAST and Rotated Brief(ORB) feature points and the reconstruction effect. After the feature point matching, pose estimation, loop detection and other steps, the 3D point clouds were finally spliced to construct a complete and smooth spatial model. The system can improve the accuracy and robustness in feature point processing and pose estimation. Comparative experiments show that the optimized algorithm saves 0.093 s compared to the ordinary extraction algorithm while guaranteeing a high accuracy rate at the same time. The results of reconstruction experiments show that the spatial models have more clear details, smoother connection with no fault layers than the original ones. The reconstruction results are generally better than other common algorithms, such as Kintinuous, Elasticfusion and ORBSLAM2 dense reconstruction.
Introducing Agile Practices in a Documentation-Driven Software Development Practice: A Case Study

Abstract The agile and the documentation-driven software methods advocate two different ways of developing software; but research does show some compatibility between these. Practitioners have an increasing desire to adopt agile software development methods while still being compliant with a quality assurance standard. However, due to little empirical research documenting software practices that meshes the agile and the documentation-driven methods, it is not well understood how to do this. This paper presents a case study of a software development practice in a pharmaceutical organization. For market reasons the organization had to comply with the US Food and Drug Administration standard. At the same time significant parts of the agile method Scrum had been implemented by the software group. The purpose of this paper was to understand the possibility of implementing a software development practice that meshes the agile and the documentation-driven methods and the challenges of doing this. This case study supports the previous literature and shows that it is possible to implement a software development practice, that meshes the agile and the documentation-driven methods. But, it also showed that doing so is not straight forward. It showed that meshing the project characteristics: ‘developers’, ‘requirements’, ‘testing’ and ‘customer-relations’ was especially difficult.
On the relative performance of hole-flanging by incremental sheet forming and conventional press-working

The purpose of this article is to provide readers with a broad understanding on the deformation mechanics of hole-flanging by incremental sheet forming that will enable them to identify the major operating parameters, to determine the process formability window and to successfully design hole-flanged sheet metal parts. The methodology draws upon the utilization of circle grid analysis, measurement of the gauge length strains at the onset of fracture in a wide range of sheet formability tests, determination of the failure limits by necking and fracture and evaluation of the relative performance of hole-flanging by incremental sheet forming and conventional press-working. The presentation is illustrated with selected test cases obtained from a comprehensive experimental investigation. The overall content of this article widens and enhances previous research work by the authors in the understanding of the deformation mechanics and failure in hole-flanging by incremental sheet forming and includes new experimental data in stainless steel AISI304L.
UV-O/sub 3/ and dry-O/sub 2/: Two-step-annealed chemical vapor-deposited Ta/sub 2/O/sub 5/ films for storage dielectrics of 64-Mb DRAMs

A capacitor fabrication technique is developed to obtain an extremely thin Ta/sub 2/O/sub 5/ film with an effective SiO/sub 2/ film thickness of 2.8 nm (equivalent to 12 fF/ mu m/sup 2/) for use in a low-power 64-Mb DRAM. A two-step annealing process is used after deposition of the Ta/sub 2/O/sub 5/ film by thermal chemical vapor deposition (CVD). The first step is ozone (O/sub 3/) annealing with ultraviolet light irradiation, which is the most effective means of reducing leakage current. A model for explaining the effectiveness of the UV-O/sub 3/ annealing treatment is proposed. Excited oxygen atoms in the singlet state (/sup 1/D), which are generated selectively in the ozone gas irradiated by a mercury lamp, repair the oxygen vacancies existing in the as-deposited CVD-Ta/sub 2/O/sub 5/ film, resulting in a marked reduction of the film's leakage current. The second step is dry-O/sub 2/ annealing, which reduces the defect density of initial breakdown. Sufficient capacitance can be obtained while maintaining a low leakage current and sufficient step coverage for a 1.5-V supply-voltage 64-Mb DRAM having a high-aspect three-dimensional memory cell. >
Corona current concept in lightning return-stroke models of engineering type

: A role of radial corona current in a lightning discharge is discussed in the paper. It is shown that the corona current concept previously introduced by Cooray for lightning return stroke models of distributed-current-source (DCS) type, and later, by Maslowski and Rakov for lumped-current-source (LCS) type models enables to show duality between these two types of models. Further, it is demonstrated that the corona current is useful during consideration of dynamics of the lightning-channel corona sheath. As an example of application of presented approach a relaxation model of charge motion in the corona sheath is analysed together with plots which show the rate of expansion and shrinkage of the lightning corona sheath on both microsecond and milli-second time scales.