Miracle-dz/UniFAR-FTUs huggingface dataset:
Increasing Overall Equipment Effectiveness in Automotive Company Using DMAIC and FMEA Method

Received: 9 October 2019 Accepted: 27 November 2019 Cylinder Block Machining Line in Indonesian automotive company has launched a worldclass company, but this company still has intention to increase the OEE value. The aim of this research was to show the application of Failure Mode and Effect Analysis (FMEA) for increasing OEE value using the DMAIC cycle (Define, Measure, Analyze, Improve and Control). Others tool to analyze this problem were Pareto Diagram and Cause and Effect Diagram. Before improvement condition, the availability average value was 90.5% from the total of production loading time. FMEA was one of tool to select the priority of the production problem that should be taken action, so it could improve the industrial operating system from the long time and frequent breakdown equipment base on highest FMEA Risk Priority Number, by additional critical components check point and feedback system to others machine for similar problem. Thus, the ITS-0015 machine that selected as observed machine could reduce the machine breakdown time from 111 became 85 minutes/month and breakdown quantity from 4.7 became 3.5 times/month. Finally, we could increase the availability value from 90.8% became 96.0% and the impact was increasing OEE value from 87% became 92%.
Prevention of High Fat‐induced Podocyte Injury and Glomerular Sclerosis in Mice Lacking Nod‐like Receptor Protein 3: Role of Inflammasome Extinction

Recent studies have demonstrated that NLRP3 inflammasome formation and activation are an important early mechanism responsible for podocyte injury and glomerular inflammation in obese mice. However, it remains unknown whether Nlrp3 gene is critical for the activation of inflammasomes in glomeruli of obese mice. To answer this question, the Nlrp3 knockout (Nlrp3‐/‐) and wild type (Nlrp3+/+) mice were fed a high fat diet (HFD) or normal chow (ND) for 10 weeks to produce obesity. Confocal microscopic analysis showed that HFD increased the colocalization of NLRP3 with Asc or caspase‐1 in glomeruli of Nlrp3+/+, but not in Nlrp3‐/‐ mice, suggesting that obesity‐enhanced formation of Nlrp3 inflammasomes. Furthermore, colocalization of Nlrp3 with podocin indicates the enrichment of Nlrp3 in podocytes. In addition, biochemical analysis demonstrated that HFD significantly increased the caspase‐1 activity and IL‐1β production in Nlrp3+/+ mice, but not in Nlrp3‐/‐ mice. Correspondingly, the urinary protein and albumin excretion were significantly higher in Nalp3+/+ mice compared to ND fed mice. However, the HFD‐induced proteinuria were significantly lowered in Nlrp3‐/‐ compared to Nlrp3+/+ mice. In addition, Western blot analysis showed that HFD significantly increased the desmin, HMGB‐1 and RAGE expression in glomeruli of Nlrp3+/+ mice, but not in Nlrp3‐/‐ mice.Based on these results, it is concluded that Nlrp3 is an essential component of Nlrp3 inflammasomes and that extinction of Nlrp3 inflammasomes in podocytes protects podocytes and glomeruli from obesity‐induced injury (supported by NIH grant DK54927).
The Dynamical Behavior of a Certain Predator-Prey System with Holling Type II Functional Response

In this paper we analytically and numerically consider the dynamical behavior of a certain predator-prey system with Holling type II functional response, including local and global stability analysis, existence of limit cycles, transcritical and Hopf bifurcations. Mathematical theory derivation mainly focuses on the existence and stability of equilibrium point as well as threshold conditions for transcritical and Hopf bifurcation, which can in turn provide a theoretical support for numerical simulation. Numerical analysis indicates that theoretical derivation results are correct and feasible. In addition, it is successful to show that the dynamical behavior of this predator-prey system mainly depends on some critical parameters and mathematical relationships. All these results are expected to be meaningful in the study of the dynamic complexity of predatory ecosystem.
A Review Article on Pharmaceutical Analysis of Pharmaceutical Industry According to Pharmacopoeias

The pharmaceutical tablet must meet specific standards to claim it as a standard drug approval. Pharmaceutical industries test the tablets for maintaining their accuracy following different standard parameters such as identity, strength, quality, purity, and stability, etc. For what why, it is essential to control pharmaceutical processes regardless of the issues that may be addressed. Process control includes inspecting raw materials, controlling processes, and targeting for the finished product. That’s why it is significant to monitor the effectiveness of the process control. In connection to this, the adaptation of the production process should comply with the specification as needed, which may also include control of equipment and environment. Pharmaceutical products in the process should be checked appropriately for their identity, strength, quality, and purity and the products are approved or rejected by the quality control unit during the manufacturing process. The highlights of this review are to describe quality control testing of pharmaceutical products by using different instruments for the pharmaceutical industry, according to pharmacopeias. Keyword: Quality control, Raw material, Finished product, Purity, Pharmacopeias.
Structural Characteristics and Spatial Patterns of the Technology Transfer Network in the Guangdong–Hong Kong–Macao Greater Bay Area

Recently, the Chinese government released the Outline of the Development Plan for the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), raising the development of the GBA urban agglomeration to a national strategy. An efficient technology transfer network is conducive to promoting the integrated and coordinated development and enhancing the scientific and technological innovation capabilities of the GBA urban agglomeration. Therefore, this study uses the patent transaction data for three years (2010, 2014, and 2018), integrates data mining, and uses complex network analysis, based on full-flow and net-flow networks, from the overall characteristics, network node strength, network association, network node importance, and network communities to reveal the structural characteristics and spatial patterns of the technology transfer network in the GBA. The results revealed that: (1) Technology transfer networks (full-flow and net-flow) in the GBA show heterogeneity. (2) Full-flow network presents a clear hierarchy within the GBA, showing a “two poles and two strong” pattern, and technology transfer has the same city preference; outside the GBA, there are close technology transfer regions that have technical and geographical proximity characteristics; the net-flow network presents a “one pole, two strong” pattern, and Guangzhou has become the core region of the net-flow network. (3) Connection objects of the technology transfer network have path dependence and spatial preference. Coexistence of concentration and decentralization characterizes the spatial flow. (4) Spatial distribution of the hub and authority of the technology transfer network is heterogeneous and hierarchical. Each city in the GBA has its own technological advantages. (5) Spatial clustering characteristics of the community within the technology transfer network are obvious. (6) The GBA is dominated by the transfer of patented technology in the high-tech industry, while the transfer of patented technology in the traditional manufacturing industry also plays an important role.
Radiation Dose Comparison in CT Thorax, CT Abdomen and CT Thorax-AbdomenPelvis (TAP) Using 640-and 160-Slice Computed Tomography (CT) Scanners

This study was carried out to compare the effective dose, size specific dose estimation (SSDE) and scan length between genders and between CT scanner with different slice number. A total of 245 set data of radiation dose and scan length for CT scanning procedure involving thorax, abdomen and pelvis regions were obtained retrospectively for comparisons. 111 patients (60 males and 51 females) were scanned using 160-slices CT scanner while 134 patients (71 males and 63 females) were scanned using 640-slices CT scanner. Generally, there were no significant differences in the radiation dose and scan length among genders. However, differences for SSDE in CT thorax and CT thorax-abdomen-pelvis (TAP) protocols exist whereby in CT thorax protocol, 640-slices CT scanner had a significantly higher value of SSDE (9.06±2.67 mGy) than that in 160-slices CT scanner (7.82±1.33 mGy). Similarly to the CT TAP protocol, whereby 640-slices CT scanner had a significantly lower value in SSDE (9.17±1.59 mGy) than that in 160-slices CT scanner (10.76±3.72 mGy). In conclusion, there was no significant difference in the radiation dose and scan length between genders but significant difference was only observed in SSDE due to the presence of body size variation among the study population especially in different CT scanners.
Epidemiological study of Cutaneous leishmaniasis in Al –diwaniyah province, Iraq

The study included examining 4276 people who visited Al-Diwaniyah Teaching Hospital in Al-Diwaniyah Governorate Center and its county areas. The disease was diagnosed clinically by a dermatologist in the hospital and excluded all cases similar to Cutaneous leishmaniasis. The study showed that the mean prevalence of Cutaneous leishmaniasis was 34.82%, the rural areas were more prevalent for this disease (40.57%) compared to the areas within the city (18%). The months, December, January, and February, recorded the highest infection rate of 48.98%, 57.62%, and 51.16%, respectively. The incidence of Cutaneous leishmaniasis was 43.33% at the age of 1-14 years and 21.45% at the age of 55 years. Males were more susceptible to infection (48.05%) than females (26.39%). The arms and legs were more susceptible to infection (58.70%) than head ulcers (58.70%). Multiple ulcers showed more prevalence in the body (60.44%) compared to a single ulcer. Wet ulcers were more prevalent (82.94%) compared to dry ulcers (17.06%).
Automatically Processing IFC Clipping Representation for BIM and GIS Integration at the Process Level

The integration of building information modeling (BIM) and geographic information system (GIS) is attracting more attention than ever due to its potential benefits for both the architecture, engineering, and construction (AEC) domain and the geospatial industry. The main challenge in BIM and GIS integrated application comes from the fundamental data conversion, especially for the geometric information. BIM and GIS use different modeling paradigms to represent objects. The BIM dataset takes, for example, Industry Foundation Classes (IFC) that use solid models, such as boundary representation (B-Rep), swept solid, constructive solid geometry (CSG), and clipping, while the GIS dataset mainly uses surface models or B-Rep. The fundamental data conversion between BIM and GIS is the foundation of BIM and GIS integrated application. However, the efficiency of data conversion has been greatly impaired by the human intervention needed, especially for the conversion of the clipping geometry. The goal of this study is to automate the conversion of IFC clipping representation into the shapefile format. A process-level approach was developed with an algorithm for instantiating unbounded half spaces using B-Rep. Four IFC models were used to validate the proposed method. The results show that (1) the proposed approach can successfully automate the conversion of IFC clipping representation into the shapefile format; and (2) increasing boundary size has no effect on the file size of unbounded half spaces, but slightly increases the producing time of half spaces and processing time of building components. The efficiency of this study can be further improved by using an open-source package, instead of using the low-efficiency packages provided by ArcGIS.
Predicting the interaction between nanoparticles in shear flow using lattice Boltzmann method and Derjaguin–Landau–Verwey–Overbeek (DLVO) theory

The functionality and performance of colloidal suspensions used in catalyst layer preparation and biomedical applications are largely dependent on the interaction between nanoparticles in colloidal suspension systems. Previous models (e.g., collision model) usually rely on an artificial repulsive force as the sole interaction between nanoparticles to prevent overlapping, but fail to capture the agglomeration or reveal the effect of solvents. In this study, the Derjaguin–Landau–Verwey–Overbeek (DLVO) theory is implemented in conjunction with a lattice Boltzmann-smoothed profile method developed to simulate the dynamic solid–fluid and particle–particle interactions between nanoparticles in shear flow. Both aqueous and non-aqueous solvents are considered. The model consists of an attractive van der Waals force and repulsive electrostatic and Born forces in aqueous solvents and is modified for non-aqueous solvents by replacing the repulsive electrostatic force by Coulombic repulsion. The numerical model is validated against a benchmark analytic solution for the motion of one nanoparticle in shear flow. For two-particle systems, physically representative simulations are obtained with the DLVO models, resulting in nanoparticles that remain attached or eventually detach depending on a critical particle Reynolds number. Furthermore, the DLVO models properly resolve the effect of solvents on nanoparticle motion. The improved representation of inter-particle interactions achieved with the DLVO and modified-DLVO models provides a physically consistent approach to simulate and investigate agglomeration and dispersion in colloidal suspensions.
FPGA-Based Doppler Frequency Estimator for Real-Time Velocimetry

In range-Doppler ultrasound applications, the velocity of a target can be measured by transmitting a mechanical wave, and by evaluating the Doppler shift present on the received echo. Unfortunately, detecting the Doppler shift from the received Doppler spectrum is not a trivial task, and several complex estimators, with different features and performance, have been proposed in the literature for achieving this goal. In several real-time applications, hundreds of thousands of velocity estimates must be produced per second, and not all of the proposed estimators are capable of performing at these high rates. In these challenging conditions, the most widely used approaches are the full centroid frequency estimate or the simple localization of the position of the spectrum peak. The first is more accurate, but the latter features a very quick and straightforward implementation. In this work, we propose an alternative Doppler frequency estimator that merges the advantages of the aforementioned approaches. It exploits the spectrum peak to get an approximate position of the Doppler frequency. Then, centered in this position, a centroid search is applied on a reduced frequency interval to refine the estimate. Doppler simulations are used to compare the accuracy and precision performance of the proposed algorithm with respect to current state of the art approaches. Finally, a Field Programmable Gate Array (FPGA) implementation is proposed that is capable of producing more than 200 k low noise estimates per second, which is suitable for the most demanding real-time applications.
Electromagnetic Immunity Performance of Intelligent Electronic Equipment in Smart Substation’s Electromagnetic Environment

With the gradual increasing of the transmission voltage level, the situation of interference on secondary side equipment in smart substations is becoming more serious. The authors tested the interference waveforms caused by the circuit breaker’s operation at the smart substation, which showed the severity of the electromagnetic (EM) environment. This paper takes the electronic current transformer acquisition card as an example. The influence of EM interference sources on the reliability of the acquisition card is analyzed. Then, standardized electromagnetic compatibility (EMC) immunity tests of the international electrotechnical commission (IEC) for different interferences are implemented. Typical output characteristics of acquisition cards for different tests are analyzed. Innovatively, this paper proposes a quantitative evaluation method of output waveform disturbance to evaluate the acquisition card’s performance. This disturbance distortion is of great significance to the EM environment estimation of the acquisition card.
Factors Affecting the Academic Performance through Cloud Computing Adoption

: Cloud computing is an emerging ﬁeld that is revolutionizing the way we access and use computer infrastructure and services. This paper investigates how cloud computing adoption enhances the academic performance of the students through knowledge management practices and by using TAM as a theoretical base. For this purpose, the data was collected from 628 university students through an online questionnaire. This study uses SmartPLS software which is a powerful statistical tool used for the analysis of structural equation modeling, its data and model validation. The study explores the factors that affect cloud computing adoption in higher educational institutions. The ﬁndings indicate that knowledge application, knowledge storage, knowledge creativity and discovery and learnability have positive association with perceived usefulness and perceived ease-of-use. Moreover, perceived usefulness and perceived ease-of-use have positive and signiﬁcant inﬂuence on cloud computing adoption which in turn, positively predicts the academic performance of the students. The ﬁndings offer educational institutions and cloud computing service providers with a better understanding to adapt cloud computing and suggests that educational institutions may promote the adoption of cloud computing in education to enhance the academic performance of the students.
On Data Dissemination Enhanced by Network Coded Device-to-Device Communications

Data dissemination to multiple users within a predetermined deadline is a commonly required function in many emerging wireless scenarios. In this paper, we propose a data dissemination scheme enhanced by device-to-device (D2D) communications and random linear network coding (RLNC), where the broadcast and the D2D links are used simultaneously with on-the-fly RLNC to accelerate the dissemination. The probability distribution of the completion time of using either pure or systematic RLNC is analyzed assuming a finite field size, under a general model where the cooperation may occur probabilistically and multiple packets may be exchanged between the D2D users in each time slot. An optimization problem is formulated to design the cooperation parameters to minimize the expected energy consumption of the system. Numerical and simulation results show that the analysis is accurate, and that to minimize the energy consumption a tradeoff exists between allowing for longer broadcast and for more intensive cooperation. The cooperation parameters designed for multiple D2D pairs are shown to be effective for meeting the reliability requirements.
Fast Monocular Visual Place Recognition for Non-Uniform Vehicle Speed and Varying Lighting Environment

This paper presents a novel Fast Monocular Visual Place Recognition (FMPR) with a shallow path-oriented offline learning stage and an online place recognition and tracking stage. FMPR uses a tube of frames with a humanlike key frame recognition to solve place recognition for situations with varying speeds and changing lighting conditions, which are two most commonly encountered situations in real life. We propose an offline learning to analyze the correlation of all video frames in a reference path and to extract effective feature patches of key frames with an offline feature-shifts approach to achieve real-time place recognition. Our recognition results are on the basis of both the instant feature matching of frames and the historical recognition results which impose temporal logic constraints on the movement of a vehicle. Experimental results demonstrate that our proposed method can achieve comparable or even better performance compared with the state-of-the-art methods on different challenging datasets, especially for the case which requires a trade-off between the performance and the processing time. We believe that our FMPR offers a useful alternative to computationally expensive deep learning-based methods especially for applications with battery-powered or resource-limited devices.
Prospects for the Use of Spore-forming Bacteria to Combat the Destruction of Polymeric Composite Materials

In order to develop an environmentally and economically sound method of dealing with biological damage of polymer composite materials (PCM), studies of environmental objects (EO) and finished products placed at the site of climatic tests in the city of Yakutsk were carried out. A strain of aerobic spore-forming psychrotolerant bacteria of the genus Bacillus was isolated from a fragment of basalt plastic reinforcement. Its biochemical properties and morphological characteristics were studied. It was found that the resulting strain has the ability to destroy fungi. This property of the Bacillus can be used to combat the bio-contamination of PCM. Biogenic factors of contamination of finished products with pathogenic fungi have been studied. It is established that the soil cover and atmospheric air in the area of the climatic test site contain similar types of microscopic fungi that were isolated from the surfaces of the prototypes. The results of studies on the microbiological characteristics of OOS it is possible to predict bizarrerie and, as a consequence, the biodegradation of PKM, as in the finished product, in contact with the aerial environment and soil cover of the landfill environmental tests found the same species (A. niger and A. fumigatus) with similar biochemical properties, which requires additional research
Discovering the Association of Algae with Physicochemical Variables in Erhai Lake

Erhai Lake is the seventh largest freshwater lake in China where has been encountered with water pollution by the algae. One of important indicator of the water quality is the density of algae in the water, and the growth rate of algae is eutrophication. A novel method is proposed to discover the association of algae with physicochemical variables related to the algae growth in Erhai Lake, by integrating Maximal information coefficient(MIC) and association rules. To measure the correlation between variables, a new aspect on association rules with non-occurring domain is purposed, which decreases one item in antecedent. The correlation results present significantly in the density levels of algae, which is beneficial to control the level of physicochemical in the water for preventing the increasing number of algae.
7-kV 1-MVA SiC-Based Modular Multilevel Converter Prototype for Medium-Voltage Electric Machine Drives

This article presents the design and development of a 7-kV dc bus, 1-MVA, 0–1000 Hz modular multilevel converter (MMC) prototype for high speed medium-voltage variable frequency drives. The system is designed based on 1.7-kV silicon carbide (SiC) mosfets. First, the full in-depth design of the prototype is provided, including the submodules, arm inductors, and system integration. Then, the unique control scheme and the control hardware design are presented to achieve the full-frequency range operation. The power loss based on Si and SiC devices is analyzed. Finally, experimental results are presented to demonstrate the performance of both the SiC-based submodule and the full-scale MMC system. Compared with the traditional Si-based solution, the established SiC MMC can reduce the drive system volume by 75% and achieve 325% power density, and the peak energy efficiency reaches around 99.35%.