nils-herrmann/clean_scirepeval huggingface dataset:
Enhancement of OEE by using TPM and TQM Concept in Automotive Industry

In the present scenario to support in the worldwide market, manufacturers need to produce high quality of the products. From a practical point of view, the conventional production method is hard to produce expected number and competence of the product on time at the customer end. Two concepts have moved towards forwarding, which Total Quality Management (TQM) and Total Productive Maintenance (TPM) and along with other concepts attain World Class Manufacturing system (WCM) In the production line, grinding machine is one of the critical devices in process line which performs below the desired level. The present paper is to distinguish the relationships among TQM, TPM program and execution as a conceptual model. These concepts are using a tool for determining the overall equipment effectiveness (OEE) rate is an essential factor of any serious commitment to reducing tools and process related desecrate. This model will help the industry have a better appreciative of the relationship between the practices. Then set the improvement target goal, design and implement the TQM principle and TPM concept. In the TQM, the Deming PDSA cycle used for problem solving, process improvement plan. TPM concept is used to analyse the current situation and develop the development plan. Implementing the both TQM and TPM concept on Grinding machine to enhance the OEE value. After effective implementation of this model, the present organisation achieves OEE of the grinding machine is from the 45.66% to 83.5% As a result grinding machine performs 83.5% OEE.
Identifying Critical Success Factors for TQM and Employee Performance in Malaysian Automotive Industry: A Literature Review

TQM is a management philosophy embracing all activities through which the needs and expectations of the customer and the community and the goals of the companies are satisfied in the most efficient and cost effective way by maximizing the potential of all workers in a continuing drive for total quality improvement. TQM is very important to the company especially in automotive industry in order for them to survive in the competitive global market. The main objective of this study is to review a relationship between TQM and employee performance. Authors review updated literature on TQM study with two main targets: (a) evolution of TQM considering as a set of practice, (b) and its impacts to employee performance. Therefore, two research questions are proposed in order to review TQM constructs and employee performance measure: (a) Is the set of critical success factors associated with TQM valid as a whole? (b) What is the critical success factors should be considered to measure employee performance in automotive industry?
Lifelong Machine Learning
Venue: Synthesis Lectures on Artificial Intelligence and Machine Learning

Lifelong Machine Learning (or Lifelong Learning) is an advanced machine learning paradigm that learns continuously, accumulates the knowledge learned in previous tasks, and uses it to help future learning. In the process, the learner becomes more and more knowledgeable and effective at learning. This learning ability is one of the hallmarks of human intelligence. However, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model. It makes no attempt to retain the learned knowledge and use it in future learning. Although this isolated learning paradigm has been very successful, it requires a large number of training examples, and is only suitable for well defined and narrow tasks. In comparison, we humans can learn effectively with a few examples because we have accumulated so much knowledge in the past which enables us to learn with little data or effort. Lifelong learning aims to achieve this capability. As statistical machine learning matures, it is time to make a major effort to break the isolated learning tradition and to study lifelong learning to bring machine learning to new heights. Applications such as intelligent assistants, chatbots, and physical robots that interact with humans and systems in real life environments are also calling for such lifelong learning capabilities. Without the ability to accumulate the learned knowledge and use it to learn more knowledge incrementally, a system will probably never be truly intelligent. This book serves as an introductory text and survey to lifelong learning.
Penerapan Metode Servqual dan Metode Eucs dalam Mengevaluasi Kepuasan Pelanggan dan Kualitas Layanan Teknologi Informasi Pengguna Jasa Internet Service Provider (Studi Kasus pada PT. Platinum Citra Indonesia, Tangerang)

Internet menjadi salah satu cara untuk mendapatkan informasi dalam era teknologi informasi saat ini. Peningkatan jumlah pengguna internet pada tahun 2012 terpaparkan hingga mencapai 2 miliar di seluruh dunia, hal ini membuka kemungkinan untuk salah satu dari bisnis potensial dalam berkaitan dengan perkembangan tersebut yakni Perusahaan Jasa Penyedia Layanan Internet atau dikenal Internet Service Provider (ISP) ISP sebagai bisnis distribusi internet ini menggunakan layanan jasa terkait dimensi pelanggan dengan karyawan perusahaan dan dimensi pelanggan dengan sistem bisnis ISP. untuk menjaga hubungan antar pelanggannya perlu dilakukan peningkatan mutu dan kualitas layanan jasa nya. Dalam rangka peningkatan mutu dan kualitas maka perlu dilakukan evaluasi terhadap kualitas layanan pelanggan atas kepuasan penggunaan jasa service internet. Evaluasi tingkat kepuasan pelanggan jasa service internet sebagai salah satu cara mengukur kualitas layanan dari perusahaan ISP. Dalam penelitian ini ditengahkan mengenai evaluasi tingkat kepuasan layanan teknologi informasi pengguna jasa internet service provider dengan menggunakan metode SERVQUAL (Service Quality) untuk mengukur tingkat kualitas layanan yang sudah sampai kepada pelanggan serta metode EUCS ( untuk mengukur tingkat kualitas kepuasan pelanggan sebagai end user dalam layanan teknologi informasi. Variabel dimensi untuk metode SERVQUAL yang digunakan dalam penelitian adalah Responssiveness (Kesigapan) Creadibility (Kredibilitas) Reliability (Reliabilitas) Access (Akses) Assurances (Jaminan) Emphaty (Empati) Tangibles (Tampilan Berwujud) Dimensi EUCS adalah Content (Isi Layanan) Accuracy (Keakuratan) Format (Format) Ease of Use (Kemudahan) Satisfaction system speed (Kepuasan kecepatan sistem)
Bad big data science
Venue: 2016 IEEE International Conference on Big Data (Big Data)

As hardware and software technologies have improved, our definition of a "manageable amount of data" has increased in its scope dramatically. The term "big data" can be applied to any of several different projects and technologies sharing the ultimate goal of supporting analysis on these large, heterogeneous, and evolving data sets. The term "data science" refers to the statistical, technical, and domain specific knowledge required to ensure that the analysis is done properly. Techniques for managing some common causes for bad data and invalid analysis have been used in other areas, such as data warehousing and distributed database. However, big data projects face special challenges when trying to combine big data and data science without producing inaccurate, misleading, or invalid results. This paper discusses potential causes for "bad big data science" focusing primarily on the data quality of the input data, and suggests methods for minimizing them based on techniques originally developed for data warehousing and distributed database projects.
A Model for Analyzing a Five Phase Fractional Slot Permanent Magnet Tubular Linear Motor with Modified Winding Function Approach
Venue: J. Electr. Comput. Eng.

This paper presents a model for analyzing a five phase fractional slot permanent magnet tubular linear motor FSPMTLM with the modified winding function approach MWFA. MWFA is a fast modeling method and it gives deep insight into the calculations of the following parameters: air gap magnetic field, inductances, flux linkages, and detent force, which are essential in modeling the motor. First, using a magnetic circuit model, the air gap magnetic density is computed from stator magnetomotive force MMF, flux barrier, and mover geometry. Second, the inductances, flux linkages, and detent force are analytically calculated using modified winding function and the air gap magnetic density. Finally, a model has been established with the five phase Park transformation and simulated. The calculations of detent force reveal that the end effect force is the main component of the detent force. This is also proven by finite element analysis on the motor. The accuracy of the model is validated by comparing with the results obtained using semianalytical method SAM and measurements to analyze the motor's transient characteristics. In addition, the proposed method requires less computation time.
The simulation design of parameters optimization on tubular linear motor with optimal output force
Venue: 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)

Tubular linear motor has many favorable features, like quick response, strong output, suitable for narrow installation space, et al, so it is widely used for the linear electromechanical servo systems. But, the tubular linear motor design constraints by a plurality of structural parameters, so there are some problems, for example output force cannot meet the needs and large power fluctuation. In order to get optimum output force and minimum fluctuation, the paper, by simulation methods, focuses on the structural optimization design in terms of the gap length for the tubular linear motors, permanent magnet thickness, the slot width, pole arc coefficient tooth width pitch ratio, and so on. Then the paper analyzes the influencing factors of linear motor output force, gives each parameter value to meet the optimal output, and provides guidance for the design parameters of tubular linear motor.
Overview of the Emerging HEVC Screen Content Coding Extension
Venue: IEEE Transactions on Circuits and Systems for Video Technology

A screen content coding (SCC) extension to High Efficiency Video Coding (HEVC) is currently under development by the Joint Collaborative Team on Video Coding, which is a joint effort from the ITU T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. The main goal of the HEVC SCC standardization effort is to enable significantly improved compression performance for videos containing a substantial amount of still or moving rendered graphics, text, and animation rather than, or in addition to, camera captured content. This paper provides an overview of the technical features and characteristics of the current HEVC SCC test model and related coding tools, including intra block copy, palette mode, adaptive color transform, and adaptive motion vector resolution. The performance of the SCC extension is compared against existing standards in terms of bitrate savings at equal distortion.
Overview of the Range Extensions for the HEVC Standard: Tools, Profiles, and Performance
Venue: IEEE Transactions on Circuits and Systems for Video Technology

The Range Extensions (RExt) of the High Efficiency Video Coding (HEVC) standard have recently been approved by both ITU T and ISO/IEC. This set of extensions targets video coding applications in areas including content acquisition, postproduction, contribution, distribution, archiving, medical imaging, still imaging, and screen content. In addition to the functionality of HEVC Version 1, RExt provide support for monochrome, 4:2:2, and 4:4:4 chroma sampling formats as well as increased sample bit depths beyond 10 bits per sample. This extended functionality includes new coding tools with a view to provide additional coding efficiency, greater flexibility, and throughput at high bit depths/rates. Improved lossless, near lossless, and very high bit rate coding is also a part of the RExt scope. This paper presents the technical aspects of HEVC RExt, including a discussion of RExt profiles, tools, applications, and provides experimental results for a performance comparison with previous relevant coding technology. When compared with the High 4:4:4 Predictive Profile of H.264/Advanced Video Coding (AVC) the corresponding HEVC 4:4:4 RExt profile provides up to ~25$ ~32% and ~36% average bit rate reduction at the same PSNR quality level for intra, random access, and low delay configurations, respectively.
The Degradation of Mechanical Properties in Halloysite Nanoclay Polyester Nanocomposites Exposed in Seawater Environment

Polyester based polymers are extensively used in aggressive marine environments; however, inadequate data is available on the effects of the seawater on the polyester based nanocomposites mechanical properties. This paper reports the effect of seawater absorption on the mechanical properties degradation of halloysite nanoclay polyester nanocomposites. Results confirmed that the addition of halloysite nanoclay into polyester matrix was found to increase seawater uptake and reduce mechanical properties compared to monolithic polyester. The maximum decreases in microhardness, tensile and flexural properties, and impact toughness were observed in case of 1 wt% nanoclay. The microhardness decreased from 107 HV to 41.7 HV 61% decrease. Young's modulus decreased from 0.6 GPa to 0.4 GPa 33% decrease. The flexural modulus decreased from 0.6 GPa to 0.34 GPa 43% decrease. The impact toughness dropped from 0.71 kJ/m2 to 0.48 kJ/m2 32% decrease. Interestingly, the fracture toughness KIC increased with the addition of halloysite nanoclay due to the plasticization effect of the resin matrix. SEM images revealed the significant reduction in mechanical properties in case of 1 wt% reinforcement which is attributed to the degradation of the nanoclay matrix interface influenced by seawater absorption and agglomeration of halloysite nanoclay.
Object Recognition Using Deep Convolutional Features Transformed by a Recursive Network Structure
Venue: IEEE Access

Deep neural networks (DNNs) trained on large data sets have been shown to be able to capture high quality features describing image data. Numerous studies have proposed various ways to transfer DNN structures trained on large data sets to perform classification tasks represented by relatively small data sets. Due to the limitations of these proposals, it is not well known how to effectively adapt the pre trained model into the new task. Typically, the transfer process uses a combination of fine tuning and training of adaptation layers; however, both tasks are susceptible to problems with data shortage and high computational complexity. This paper proposes an improvement to the well known AlexNet feature extraction technique. The proposed approach applies a recursive neural network structure on features extracted by a deep convolutional neural network pre trained on a large data set. Object recognition experiments conducted on the Washington RGBD image data set have shown that the proposed method has the advantages of structural simplicity combined with the ability to provide higher recognition accuracy at a low computational cost compared with other relevant methods. The new approach requires no training at the feature extraction phase, and can be performed very efficiently as the output features are compact and highly discriminative, and can be used with a simple classifier in object recognition settings.
High Frequency Hearing Loss and Hyperactivity in DUX4 Transgenic Mice
Venue: PloS one

Facioscapulohumeral muscular dystrophy (FSHD) is caused by mutations leading to ectopic expression of the transcription factor DUX4, and encompasses both muscle related and non muscle phenotypes. Mouse models bearing this gene represent valuable tools to investigate which pathologies are due to DUX4 expression, and how DUX4 leads to these pathologies. The iDUX4(2.7) mouse contains an X linked doxycycline inducible DUX4 gene that shows low level basal expression in the absence of doxycycline, leading to male lethality, generally in embryo, but always before 8 weeks of age. Here, we describe additional non muscle phenotypes in this animal model. We find that iDUX4(2.7) female carriers are extremely hyperactive, spending large amounts of time ambulating and much less time resting. Rare 3 week old males, although hypophagic, runted and extremely fragile, are capable of high activity, but show periods of catatonic torpor in which animals appear dead and respiration is virtually absent. We also examine a non muscle phenotype of interest to FSHD, high frequency hearing loss. We find that young iDUX4(2.7) females are significantly impaired in their ability to hear at frequencies above 8 kHz. These phenotypes make the iDUX4(2.7) mouse an attractive model in which to study non muscle activities of DUX4.
Primary Undifferentiated Sarcoma of the Kidney Harboring a Novel Variant of CIC DUX4 Gene Fusion.
Venue: The American journal of surgical pathology

In recent issues of this journal, Yoshida et al1 reported on CIC rearranged sarcomas, and Falzarano et al2 described renal cell carcinomas (RCCs) in patients previously treated for neuroblastoma (NB) Herein, we describe a primary renal CIC DUX4 sarcoma, originally diagnosed as Wilms tumor (WT) in a patient previously treated for contralateral stage 4 NB. CIC DUX4 sarcoma was retrospectively suspected after WT1 nuclear staining was reported in 95% and 70% of CIC rearranged sarcomas.1,3 CIC DUX4 undifferentiated sarcomas are a group of EWSR1negative primitive tumors or Ewinglike sarcomas with fusion of the human homologue of the Drosophila capicua (CIC) gene on chromosome 19 and the double homeobox 4 (DUX4) retrogene on chromosome 4 or 10.1,3 Occasional peripheral tumors harbor variant translocation in which the CIC gene is fused with the forkhead box O4 (FOXO4) gene on the X chromosome.4 Yoshida et al1 reported that the majority of their CIC rearranged sarcomas demonstrated nuclear immunoreactivity for WT1 protein, are positive for calretinin, and negative for NKX2.2. The vast majority of these sarcomas occur primarily in peripheral soft tissues, but visceral cases including the brain are reported.1,5,6
Homologous Transcription Factors DUX4 and DUX4c Associate with Cytoplasmic Proteins during Muscle Differentiation
Venue: PloS one

Hundreds of double homeobox (DUX) genes map within 3.3 kb repeated elements dispersed in the human genome and encode DNA binding proteins. Among these, we identified DUX4, a potent transcription factor that causes facioscapulohumeral muscular dystrophy (FSHD) In the present study, we performed yeast two hybrid screens and protein co purifications with HaloTag DUX fusions or GST DUX4 pull down to identify protein partners of DUX4, DUX4c (which is identical to DUX4 except for the end of the carboxyl terminal domain) and DUX1 (which is limited to the double homeodomain) Unexpectedly, we identified and validated (by co immunoprecipitation, GST pull down, co immunofluorescence and in situ Proximal Ligation Assay) the interaction of DUX4, DUX4c and DUX1 with type III intermediate filament protein desmin in the cytoplasm and at the nuclear periphery. Desmin filaments link adjacent sarcomere at the Z discs, connect them to sarcolemma proteins and interact with mitochondria. These intermediate filament also contact the nuclear lamina and contribute to positioning of the nuclei. Another Z disc protein, LMCD1 that contains a LIM domain was also validated as a DUX4 partner. The functionality of DUX4 or DUX4c interactions with cytoplasmic proteins is underscored by the cytoplasmic detection of DUX4/DUX4c upon myoblast fusion. In addition, we identified and validated (by co immunoprecipitation, co immunofluorescence and in situ Proximal Ligation Assay) as DUX4/4c partners several RNA binding proteins such as C1QBP, SRSF9, RBM3, FUS/TLS and SFPQ that are involved in mRNA splicing and translation. FUS and SFPQ are nuclear proteins, however their cytoplasmic translocation was reported in neuronal cells where they associated with ribonucleoparticles (RNPs) Several other validated or identified DUX4/DUX4c partners are also contained in mRNP granules, and the co localizations with cytoplasmic DAPI positive spots is in keeping with such an association. Large muscle RNPs were recently shown to exit the nucleus via a novel mechanism of nuclear envelope budding. Following DUX4 or DUX4c overexpression in muscle cell cultures, we observed their association with similar nuclear buds. In conclusion, our study demonstrated unexpected interactions of DUX4/4c with cytoplasmic proteins playing major roles during muscle differentiation. Further investigations are on going to evaluate whether these interactions play roles during muscle regeneration as previously suggested for DUX4c.
Model systems of DUX4 expression recapitulate the transcriptional profile of FSHD cells.
Venue: Human molecular genetics

Facioscapulohumeral dystrophy (FSHD) is caused by the mis expression of the double homeodomain transcription factor DUX4 in skeletal muscle cells. Many different cell culture models have been developed to study the pathophysiology of FSHD, frequently based on endogenous expression of DUX4 in FSHD cells or by mis expression of DUX4 in control human muscle cells. Although results generated using each model are generally consistent, differences have also been reported, making it unclear which model(s) faithfully recapitulate DUX4 and FSHD biology. In this study, we systematically compared RNA seq data generated from three different models of FSHD lentiviral based DUX4 expression in myoblasts, doxycycline inducible DUX4 in myoblasts, and differentiated human FSHD myocytes expressing endogenous DUX4 and show that the DUX4 associated gene expression signatures of each dataset are highly correlated (Pearson's correlation coefficient, r 0.75 0.85) The few robust differences were attributable to different states of cell differentiation and other differences in experimental design. Our study describes a model system for inducible DUX4 expression that enables reproducible and synchronized experiments and validates the fidelity and FSHD relevance of multiple distinct models of DUX4 expression.
Transcriptional Inhibitors Identified in a 160,000 Compound Small Molecule DUX4 Viability Screen
Venue: Journal of biomolecular screening

Facioscapulohumeral muscular dystrophy is a genetically dominant, currently untreatable muscular dystrophy. It is caused by mutations that enable expression of the normally silent DUX4 gene, which encodes a pathogenic transcription factor. A screen based on Tet on DUX4 induced mouse myoblast death previously uncovered compounds from a 44,000 compound library that protect against DUX4 toxicity. Many of those compounds acted downstream of DUX4 in an oxidative stress pathway. Here, we extend this screen to an additional 160,000 compounds and, using greater stringency, identify a new set of DUX4 protective compounds. From 640 hits, we performed secondary screens, repurchased 46 of the most desirable, confirmed activity, and tested each for activity against other cell death inducing insults. The majority of these compounds also protected against oxidative stress. Of the 100 repurchased compounds identified through both screens, only SHC40, 75, and 98 inhibited DUX4 target genes, but they also inhibited dox mediated DUX4 expression. Using a target gene readout on the 640 compound hit set, we discovered three overlooked compounds, SHC351, 540, and 572, that inhibit DUX4 target gene upregulation without nonspecific effects on the Tet on system. These novel inhibitors of DUX4 transcriptional activity may thus act on pathways or cofactors needed by DUX4 for transcriptional activation in these cells.