Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiphysics out of position airbag simulation

The deployment of an airbag is most fatal and dangerous to a passenger when it is in an out of position (OOP) situation, with the airbag making contact before it is fully inflated. This can lead to severe, if not life threatening, injuries to the passenger. This situation is more commonly associated with small females and children who are positioned near to the airbag module, i.e. in an OOP load case. The aim of this research is to assess the response of a Hybrid III 5th percentile female anthropomorphic dummy positioned in an FMVSS 208 low risk static airbag deployment OOP load cases using a transient dynamic finite element program called LS-DYNA. The simulation considers the standard procedures utilised in the LS-DYNA, where assumptions such as uniform airbag pressure and temperature are made, along with a more recently developed procedure that takes into account the fluid-structure interaction between the inflating gas source and the airbag fabric, referred to as arbitrary Lagrangian Eulerian (ALE) theory. Both simulations were compared to test data received by Jaguar, indicating satisfactory results in terms of correlation, with the more recently developed procedure, ALE theory, showing the greatest accuracy, both in terms of graphical and schematic comparison, especially in the very early stages of the inflation process. As a result, the new simulation procedure model was utilised to research into the effects of changing the designs of the airbag module.
New repair of clear defects on half-tone PSM using Ga implantation

The new repair of the clear defects on the half-tone PSM (EAPSM) was proposed. The Ga (gallium) ions were implanted by the FIB on the area adjacent to the carbon films formed on the clear defects. The Ga ion implanted area on the SiO2 substrate showed the semi-transparency at the KrF and ArF wavelengths. The lithography simulations of the layouts designed for the defect-repaired area endorsed the concept of the new repair. The Ga ion implantation was optimized to the new repair by using the AIMS and AFM measurements for the transmittance and etched depth of the SiO2 surface. The authors applied this method to the clear defects programmed on the KrF and ArF EAPSMs. The AIMS analysis showed that the deviation of the CD (critical dimension) of the defect-repaired regions on the wafer was within +/-5% to the non-defective reference at every defocused point. The new repair moderated the specification of the edge placement accuracy of the FIB processing compared to the conventional carbon film deposition.
Research on cloud-based remote measurement and analysis system

The promising potential of cloud computing and its convergence with technologies such as cloud storage, cloud push, mobile computing allows for creation and delivery of newer type of cloud service. Combined with the thought of cloud computing, this paper presents a cloud-based remote measurement and analysis system. This system mainly consists of three parts: signal acquisition client, web server deployed on the cloud service, and remote client. This system is a special website developed using asp.net and Flex RIA technology, which solves the selective contradiction between two monitoring modes, B/S and C/S. This platform supplies customer condition monitoring and data analysis service by Internet, which was deployed on the cloud server. Signal acquisition device is responsible for data (sensor data, audio, video, etc.) collection and pushes the monitoring data to the cloud storage database regularly. Data acquisition equipment in this system is only conditioned with the function of data collection and network function such as smartphone and smart sensor. This system’s scale can adjust dynamically according to the amount of applications and users, so it won't cause waste of resources. As a representative case study, we developed a prototype system based on Ali cloud service using the rotor test rig as the research object. Experimental results demonstrate that the proposed system architecture is feasible.
A Computer-Aided System for Job-Shop Flow Time and Due–Date Prediction

: One of the key challenges confronting a production system is the accurate prediction of flow time (completion time) and due date of jobs coming into the job-shop. The inaccuracy in the determination of flow time and due date could lead to problems of dead line misses, high holding cost for waiting jobs and/or completed jobs, technical and cost inefficiency; and customer dissatisfaction, among others. In this paper, a Computer-Aided System which is based on an empirical model for predicting job-shop flow time and due-date was developed. The Computer-Aided System makes use of historical production data and other peculiar in-house factors of an organization. The Computer-Aided System was tested with real life job-shop data in order to test its efficiency and it was found to be efficient in predicting flow time and due date of jobs.
Simulating soybean root growth and soil water extraction using a functional crop model

The current soil water component of the CROPGRO-Soybean model was structured for deep, well-drained soils. It did not have mechanisms for restricting root growth and root water uptake in soil layers with high mechanical impedance or soil layers with non-uniform root distribution. In this research, the model was modified to consider root growth and root water uptake under those conditions. Experimental data sets from Castana, Iowa, and Gainesville, Florida, with two contrasting soils were used for model validation. An empirical soil impedance factor was incorporated to influence the ability of roots to grow and proliferate in a layer. A root hospitality or clumping factor was incorporated to limit root water uptake in soil layers where roots are not uniformly distributed. A sensitivity analysis was conducted to demonstrate the effects of these two factors and rate of root depth increase on root growth, soil water extraction, seed yield, and crop biomass. Root growth and soil factors were adjusted so that simulated soil water extraction from each soil layer correctly matched observed data. A maximum rate of vertical root growth was estimated to be 4.0 cm d–1 for both locations. Root distribution with depth, soil water extraction pattern, and simulated crop responses were highly sensitive to this parameter. In both soils, the root hospitality factor was 1.0 (implying uniform root distribution) from the soil surface to layers near the bottom of the root zone below which roots extracted water at lower rates. Both soils required a soil impedance factor at 30 to 45 cm of 0.2 or less to match the apparent vertical rate of root growth, root length distribution with depth, and observed soil water extraction patterns. After confirming that the model accurately simulated soil water extraction patterns in both locations, the model predicted aboveground growth and yield very well at both locations. In the Castana experiment predicted seed yield was 3127 kg ha–1 and mean measured seed yield was 2644 kg ha–1. In Gainesville final seed yield predicted by the model was 1299 kg ha–1 and measured seed yield was 1178 kg ha–1. This research confirms the importance of root growth and root proliferation on soil water extraction, crop growth and yield, and it demonstrates the need for additional research to develop relationships between soil properties that are routinely measured and relatively simple root growth and distribution characteristics.
Application of Stack Filter on Image Processing

This paper proposed of using stack filter technique to clears image noise. The key points of stack filter algorithm are threshold Decomposition and cascading features, and it is one of nonlinear filter based on the order statistics theory. Mat lab experiments show that stack filter can greatly reduce the time of clears image noise, and it performs better than median filters on noise reduction while retaining edges of an image.
Coexpression network analysis identified lncRNAs-mRNAs with potential relevance in African ancestry prostate cancer

Aim: This study aims to investigate similarities and differences using lncRNA and mRNA coexpression network analysis in African ancestry (AA) and European ancestry (EA) among prostate cancer (PCa) patients. Methods: We performed weighted gene coexpression network analysis of the expression from 49 of AA and 49 of EA to identify lncRNAs-mRNAs. Results: 27 lncRNAs and 36 mRNAs were highly expressed in patients of AA. Two mRNAs and their antisense lncRNAs were expressed. Additionally, seven mRNAs were DE or coexpressed and had an impact on survival. Conclusion: We present a list of lncRNAs and mRNAs that were DE and coexpressed when comparing patients of AA and EA, and these data are a resource for future studies to understand the role of lncRNAs.
A fuzzy-neural system with error feedback to adjust classification for forecasting wafer lot flow time: A simulation study

Abstract Estimating lot flow (cycle) time is a critical task for a wafer fabrication plant (wafer fab). Many recent studies have shown that pre-classifying wafer lots before estimating the flow times is beneficial to estimation accuracy. In this aspect, various classification approaches, e.g. k-means (kM), fuzzy c-means (FCM), and self-organization map (SOM), have been applied. After pre-classification, to estimate the flow times for lots belonging to different categories, different approaches (that are in fact the same approaches but with different parameter settings) are applied. However, these applications of classification approaches considered only the data of wafer lots, but ignored whether the classification approaches combined with the subsequent estimation techniques were suitable for the data. To tackle this problem, instead of trying many possible classification and forecasting approaches to find out the most suitable combination, a FCM and back propagation network (BPN) combination is chosen in the current study. In the proposed methodology, the classification results by FCM will be adjusted with forecasting error fed back from the BPN. In this way, if the FCM-BPN combination is not good enough for the data, then a forecasting error will be generated and fed back to the FCM classifier to adjust the classification results. After some replications, the FCM-BPN combination will become more suitable for the data. To evaluate the effectiveness, production simulation is applied in the present study to generate test data. According to experimental results, the forecasting accuracy of the proposed methodology is significantly better than those of many existing approaches. The effects of adjusting classification results with prediction error are also revealed.
Functional Severe Acute Respiratory Syndrome Coronavirus 2 Virus-Like Particles From Insect Cells

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains a major epidemic threat since the beginning of 2020. Efforts to combat the virus and the associated coronavirus disease 2019 (COVID-19) disease are being undertaken worldwide. To facilitate the research on the virus itself, a number of surrogate systems have been developed. Here, we report the efficient production of SARS-CoV-2 virus-like particles (VLPs) in insect cells. Contrary to widely used pseudovirus particles, where only one coronaviral protein is displayed within a heterologous scaffold, developed VLPs are structurally similar to the native virus and allow for more throughput studies on the biology of the infection. On the other hand, being devoid of the viral genome, VLPs are unable to replicate and thus safe to work with. Importantly, this is the first report showing that SARS-CoV-2 VLPs can be efficiently produced in insect cells and purified using scalable affinity chromatography.
IL-6 gene rs1800795 polymorphism and diabetes mellitus: a comprehensive analysis involving 39099 participants

Background Over the past two decades, many studies concentrated the association between a common polymorphism ( rs1800795 ) from interleukin-6 (IL-6) gene and Diabetes Mellitus (DM) risk have been published, however, the results remain ambiguous and indefinite.Methods In current, we performed a comprehensive analysis to explore above relationship. A search was conducted in the PubMed, Embase, Chinese (CNKI and Wanfang) databases, covering all papers published until Sep 20, 2019. Odds ratios (OR) with 95% confidence intervals (CI) was applied to evaluate the strength of this association. Publication bias was assessed with both Begg and Egger’s tests.Results Overall, 26 case-control studies with 5973 T2DM patients and 13968 controls, and 11 case-control studies (10193 T1DM patients and 8965 health controls) were included for analysis in our study. Finally, significant decreased association was observed between the rs1800795 polymorphism and T2DM risk in overall sample, Asians and hospital-based subgroup (for example: C-allele vs. G-allele: OR = 0.65, 95%CI = 0.53-0.81, P < 0.05), however, increased associations were found from Mixed population and hospital-based subgroup between rs1800795 polymorphism and T1DM susceptibility (for example: CC vs. GG: OR = 2.45, 95%CI = 1.18-5.07, P = 0.016 for Mixed individuals). Conclusions In summary, there had a definite evidence to confirm that IL-6 rs1800795 polymorphism was associated with susceptibility of decreased T2DM and increased T1DM.
Mobile Robot Localization and Map Building: A Multisensor Fusion Approach

From the Publisher: During the last decade, many researchers have dedicated their efforts to constructing revolutionary machines and to providing them with forms of artificial intelligence to perform some of the most hazardous, risky or monotonous tasks historically assigned to human beings. Among those machines, mobile robots are undoubtedly at the cutting edge of current research directions. A rough classification of mobile robots can be considered: on the one hand, mobile robots oriented to human-made indoor environments; on the other hand, mobile robots oriented to unstructured outdoor environments, which could include flying oriented robots, space-oriented robots and underwater robots. The most common motion mechanism for surface mobile robots is the wheel-based mechanism, adapted both to flat surfaces, found in human-made environments, and to rough terrain, found in outdoor environments. However, some researchers have reported successful developments with leg-based mobile robots capable of climbing up stairs, although they require further investigation. The research work presented here focuses on wheel-based mobile robots that navigate in human-made indoor environments. The main problems described throughout this book are: Representation and integration of uncertain geometric information by means of the Symmetries and Perturbations Model (SPmodel). This model combines the use of probability theory to represent the imprecision in the location of a geometric element, and the theory of symmetries to represent the partiality due to characteristics of each type of geometric element. A solution to the first location problem, that is, the computation of an estimation for themobile robot location when the vehicle is completely lost in the environment. The problem is formulated as a search in an interpretation tree using efficient matching algorithms and geometric constraints to reduce the size of the solution space. The book proposes a new probabilistic framework adapted to the problem of simultaneous localization and map building for mobile robots: the Symmetries and Perturbations Map (SPmap). This framework has been experimentally validated by a complete experiment which profited from ground-truth to accurately validate the precision and the appropriateness of the approach. The book emphasizes the generality of the solutions proposed to the different problems and their independence with respect to the exteroceptive sensors mounted on the mobile robot. Theoretical results are complemented by real experiments, where the use of multisensor-based approaches is highlighted.
Statistical process control for multistage manufacturing and service operations: A review and some extensions

Manufacturing and service processes today usually involve more than one process stages and operations. With an emphasis on achieving satisfactory product and service quality, multistage processes surveillance and fault diagnosis has become a necessity. Statistical Process Control (SPC) methods have been widely recognised as effective approaches for process monitoring and diagnosis. However, most conventional SPC methods focus on single-stage process without considering the multistage scenario. In this paper, we attempt to offer comprehensive references of statistical control methods for multistage manufacturing and service operations. Existing methods are compared and some future research topics are discussed.
CPW-fed compact monopole antenna for dual-band WLAN applications

A compact CPW-fed monopole antenna is proposed for dual-band wireless local area network (WLAN) operations. The proposed antenna, which consists of two strips, has compact size of 20/spl times/15.5/spl times/1.6 mm/sup 3/ including the ground. The proposed antenna effectively covers both 2.4 GHz (2.4-2.484 GHz) and 5 GHz (5.15-5.825 GHz) bands. The measured peak gains are 1.3 dBi at 2.44 GHz and 2.8 dBi at 5.32 GHz.
Fluid Overload is Associated with Underestimation of Serum Creatinine in Cardiac Surgery Patients: A Retrospective Analysis

Background: Fluid overload is related to the development and prognosis of cardiac surgery-associated acute kidney injury (CSA-AKI). The study is to investigate the influence of serum creatinine (SCr) corrected by fluid balance on the prognosis of patients with cardiac surgery. Methods: A retrospective study was conducted in 1334 patients who underwent elective cardiac surgery from January 1 to December 31, 2015. Kidney Disease: Improving Global Outcomes (KDIGO) criteria for AKI were applied to identify CSA-AKI. SCr was measured every 24 hours during ICU period and was accordingly adjusted for cumulative fluid balance. Change in SCr, defined as ∆Crea, was determined by difference between before and after adjustment for cumulative fluid balance. All patients were divided as three groups: underestimation group (∆Crea ≥ P 75 ), normal group (P 25 < ∆Crea < P 75 ) and overestimation group (∆Crea ≤ P 25 ). Results: The incidence of AKI increased from 29.5% to 31.8% after adjustment for fluid balance. Patients in underestimation group showed prolonged length of ICU stay compared with normal group and overestimation group (3.2[1.0-3.0] vs 2.1[1.0-3.0] d, P < 0.001; 3.2[1.0-3.0] vs 2.3[1.0-3.0] d, P < 0.001). Length of hospital stay and mechanical ventilation dependent days in underestimation group were significantly longer than normal group ( P < 0.001). Multivariate analysis showed age, baseline SCr and left ventricular ejection fraction were independently associated with underestimation of creatinine. Conclusions: Cumulative fluid balance after cardiac surgery disturbs accurate measurement of serum creatinine. Patients with underestimation of SCr were associated with poor prognosis.
An application of designing products and processes for supply chain management

In this paper we describe an application of designing products and processes for supply chain management at a large electronics products manufacturer. The objective of our research project was to reduce the costs of complexity resulting from a proliferation of parts and processes in the manufacturer's supply chain. In order to perform this analysis, we developed the Supply Chain Modeling and Analysis Tool (SCMAT). SCMAT models decentralized supply chains and is less data-intensive and yet more general than previous work in this area.
Design of Computer Vision and Image Processing Technology Based Car Keys Tooth Identification Detection System

This paper can be used as acar key toothed recognition and detection technology and computer vision, imageprocessing technology combined with interdisciplinary applications. Car lockassembly complicated procedures, identification and car keys tooth detection isone of the key aspects of automotive lock assembly, lock a direct impact on theefficiency of the assembly process. The system can effectively improve theexisting car key tooth detection technology to reduce the cost of car keystooth detection recognition, while also rapid and accurate identification, sothat the entire lock assembly process much more efficient.
Smartphone app keeps watch over schizophrenic patients [News]

What if a schizophrenic patient could have the equivalent of a therapist in a pocket, watching for symptoms of a relapse? That's the promise of a smartphone-based system now being tested at a hospital in Glen Oaks, N.Y. The app, called CrossCheck, uses a suite of sensors to create a profile of a patient,s healthy behavioral and social patterns and can then raise an alert when the patient deviates from the norm.
A Case Study of an 11-year-old with Auditory Processing Disorder

The article presents a case study of a child ('Sally') with multiple risk factors for auditory processing disorder (APD), including low birth weight and a history of otitis media. Sally presented for auditory processing assessment at age 7 years 9 months due to learning difficulties, despite normal intelligence. Sally had persistent mild hearing loss associated with repeated middle ear infections and hearing aids were trailed at 22 months. Mother reported increased vocalisations and improved listening with hearing aids. Three years later, hearing aids were withdrawn, as Sally's hearing thresholds had improved. Following diagnosis of APD an FM device was trailed successfully, but Sally is no longer using the device. Trial of more discrete FM devices is recommended. Despite using hearing aids as a preschooler and using an FM device for a year, Sally has continued to have auditory difficulties. An inter-disciplinary approach involving the family and other professionals such as teachers, educational psychologists, speech pathologists, and audiologists, might have ensured better outcomes for Sally.
Netzhautanzeigesystem („virtual retinal display“) mit Knotenpunktabbildung eines Laserstrahles: Konstruktionsbeispiel und Bewertung des subjektiven Helligkeitseindruckes - Perception of Brightness with a Virtual Retinal Display Using Badal Projection

We investigated the perception of brightness for red monochromatic laser light. For this purpose, a modified virtual retinal display (VRD) was constructed. The modification involved projecting the laser beam into the eye. In our VRD, the laser beam pivots in the nodal point of the eye (badal system), The displayed image therefore does not depend on the refractive state of the eye. Brightness perception was assessed by means of psychophysical experiments. The results of these experiments indicate that perception of brightness at 652 nm increases more rapidly with increasing physical stimulus than does the perception of white light (colour temperature 2'935 K). At a wavelength of 652 nm, an optical power of 79 nW is required to produce an image subtending 2° of equal brightness, as is perceived with an image of about 2'900 cd/m 2 subtending 2°.
PDC Drill Bit Design and Field Application Evolution

This paper traces the development of polycrystalline diamond compact (PDC) bits from their introduction in 1973. Such design features as body materials, crown profiles, cutter density, and cutter exposure and their effect on bit performance are discussed. In addition, the paper reviews various aspects of bit applications engineering, including bit hydraulics, drilling fluids, directional behavior, and formation types.