Miracle-dz/UniFAR-FTUs huggingface dataset:
On Marathons and Sprints: An Integrated Quantitative Proteomics and Transcriptomics Analysis of Differences Between Slow and Fast Muscle Fibers*

Skeletal muscle tissue contains slow as well as fast twitch muscle fibers that possess different metabolic and contractile properties. Although the distribution of individual proteins in fast and slow fibers has been investigated extensively, a comprehensive proteomic analysis, which is key for any systems biology approach to muscle tissues, is missing. Here, we compared the global protein levels and gene expression profiles of the predominantly slow soleus and fast extensor digitorum longus muscles using the principle of in vivo stable isotope labeling with amino acids based on a fully lysine-6 labeled SILAC-mouse. We identified 551 proteins with significant quantitative differences between slow soleus and fast extensor digitorum longus fibers out of >2000 quantified proteins, which greatly extends the repertoire of proteins differentially regulated between both muscle types. Most of the differentially regulated proteins mediate cellular contraction, ion homeostasis, glycolysis, and oxidation, which reflect the major functional differences between both muscle types. Comparison of proteomics and transcriptomics data uncovered the existence of fiber-type specific posttranscriptional regulatory mechanisms resulting in differential accumulation of Myosin-8 and α-protein kinase 3 proteins and mRNAs among others. Phosphoproteome analysis of soleus and extensor digitorum longus muscles identified 2573 phosphosites on 973 proteins including 1040 novel phosphosites. The in vivo stable isotope labeling with amino acids-mouse approach used in our study provides a comprehensive view into the protein networks that direct fiber-type specific functions and allows a detailed dissection of the molecular composition of slow and fast muscle tissues with unprecedented resolution.
Finite Element Heterogeneous Multiscale Method for the Classical Helmholtz Equation

We show that the standard Finite Element Heterogeneous Multiscale Method (FE-HMM) can be used to approximate the effective behavior of solutions to the classical Helmholtz equation in highly oscillatory media. Using a novel combination of well-known results about FE-HMM and the notion of T-coercivity, we derive an a priori error bound. Numerical experiments corroborate the analytical findings.
Datenbank Spektrum Building an Industry 4 . 0 Analytics Platform Practical Challenges , Approaches and Future Research Directions

The ecosystem of big data technologies and advanced analytics tools has evolved rapidly in the last years offering companies new possibilities for digital transformation and data-driven solutions. Industry 4.0 represents a major application domain for big data and advanced analytics in order to exploit the huge amounts of data generated across the industrial value chain. However, building and establishing an Industry 4.0 analytics platform involves far more than tools and technology. In this paper, we report on our practical experiences when building the Bosch Industry 4.0 Analytics Platform and discuss challenges, approaches and future research directions. The analytics platform is designed for more than 270 factories as part of Bosch’s worldwide manufacturing network. We describe use cases and requirements for the analytics platform and present its architecture. On this basis, we discuss practical challenges related to analytical solution development, employee enablement, i. e. , citizen data science, as well as analytics governance and present initial solution approaches. Thereby, we highlight future research directions in order to leverage advanced analytics and big data in industrial enterprises.
Ex Vivo Wear of Conventional and Cross-linked Polyethylene Acetabular Liners

Explanted highly cross-linked polyethylene acetabular liners show third-body scratching. It was suggested that this surface damage could increase the wear rate of highly cross-linked polyethylene. We investigated the wear behavior of surgically explanted highly cross-linked and conventional acetabular liners using a hip simulator. Highly cross-linked explants showed no weight loss. The scratches and original machine marks of the highly cross-linked liners present at explantation remained during testing; the wear rates of these liners were 1.1 ± 2.3 mg/million cycles, representing weight gain. In contrast, conventional liners showed wear rates of −12.9 ± 1.4 mg/million cycles, representing weight loss. Wear was associated with rapid surface polishing and scratch elimination. After testing, the liners were melted to trigger shape memory and recover plastic deformation-induced surface changes. Highly cross-linked liners showed substantial recovery of original machining marks after melting, indicating that the scratches were a result of plastic deformation and not wear. None of the conventional polyethylenes showed any recovery after melting. The wear resistance of the highly cross-linked polyethylene studied was not compromised by surface changes that occurred during the first year of in vivo service.
A fast boundary cloud method for 3D exterior electrostatic analysis

An accelerated boundary cloud method (BCM) for boundary‐only analysis of 3D electrostatic problems is presented here. BCM uses scattered points unlike the classical boundary element method (BEM) which uses boundary elements to discretize the surface of the conductors. BCM combines the weighted least‐squares approach for the construction of approximation functions with a boundary integral formulation for the governing equations. A linear base interpolating polynomial that can vary from cloud to cloud is employed. The boundary integrals are computed by using a cell structure and different schemes have been used to evaluate the weakly singular and non‐singular integrals. A singular value decomposition (SVD) based acceleration technique is employed to solve the dense linear system of equations arising in BCM. The performance of BCM is compared with BEM for several 3D examples. Copyright © 2004 John Wiley & Sons, Ltd.
The evolution of spinal/epidural neostigmine in clinical application: Thoughts after two decades

Since the first clinical application of analgesia following spinal anticholinesterase by 1940′s, several clinical double-blind studies have been conducted to date, where intrathecal doses of neostigmine in humans ranged from 750 to 1 μg, due to side-effects. Conversely, epidural neostigmine has been evaluated in proportionally higher doses and represents an alternative, but still deserves more investigation concerning both acute and chronic pain, as it seems devoid of important side-effects.
Measuring the Syntactic Similarity between Korean Sentences Using RNN

최근 기계를 통한 자동 문장 생성(sentence generation) 연구가 기계 번역(statistical machine translation), 문서 요약(document summarization), 의역 (paraphrasing) 등의 자연어처리 분야와, 언론, 교육과 같은 산업 분야에서 활발히 연구되고 있다. 특히 언론 분야에서는 로봇 저널리즘(robot journalism)이 대두되고 있으며, AP통신, LA Times 등과 같은 언론사에서는 자 동으로 기사를 작성하는데 활용하고 있다. 국내에서도 파이낸셜뉴스와 서울대 언론정보학과 연구진이 함께 증 권시황 기사를 작성해 주는 로봇을 공개하였다. 이 같은 기사는 보도자료, 날씨, 자연 재해, 스포츠 경기 결과 등 의 단순하고 정형화된 정보를 고정된 형태의 문장틀에 집어넣어 문장을 생성하고 있다. 복잡하고 긴 문장을 생 성시키기 위해서는 별도로 언어에 대한 깊은 이해가 필 요하다. 이를 언어모델 학습 또는 인코딩이라고 부른다 [1]. 본 논문에서 제시하는 문장 간 구문 유사도 측정 방법 은, 입력 된 문장과 자동으로 번역, 의역된 문장 간의 유 사도를 측정하는 방법이다. 기존의 문장 간 유사도 측정 방법은 많은 언어학적 지식, 언어에 따른 구조적 지식, 복잡한 자질 공학 과정이 필요하다 [2]. 하지만 최근 기 계학습 분야의 깊은 신경망을 이용한 인코더-디코더 방 법을 통해, 이 같은 복잡한 과정을 쉽게 해결할 수 있게 되었다 [3]. 이 방법은 복잡한 자질 공학 과정 없이, 한 글 문장을 모델에 입력하는 것만으로, 어절과 문장에 대 한 의미적, 구조적 정보들을 실수로 이루어진 다차원의 벡터 형태로 표현 할 수 있다 [4]. 이를 이용하여 기계 번역, 의역 문장 생성과 같은 문장 생성 모델에서 자동 평가의 도구로 이용할 수 있을 뿐만 아니라, 표절 검사 와 같은 기술로 응용할 수 있다. 본 논문에서는 깊은 신경망의 한 종류인 RNN(Recurrent Neural Network)를 사용하여, 언어모델 을 80만 문장의 한국어 위키피디아 말뭉치로부터 자동으 로 학습한다. 그리고 2개의 입력 문장이 주어졌을 때, 문장 간의 구문 유사도(syntactic similarity)를 학습된 언 어모델로부터 얻어진 임베딩 벡터 간의 코사인 유사도로 계산한다. 본 논문은 먼저 현재 관련 연구 동향에 대해서 살펴보 고, 사용된 모델 구현 방법과 실험 방법을 설명한 뒤에 실험 결과를 거쳐 결론 및 추후 연구 방향에 대한 제시 하는 것으로 구성되어 있다.
Novel Method for Modelling and Calculating the Harmonic Effect and Psophometric Disturbance of High Power Electric Traction

The paper presents the combination of frequency and time dependent model to simulate the effects of the power electric traction on the supply network. This novel method, called double domain simulation is improving the accuracy of the frequency domain simulation. To calculate the sophisticated model of the electric locomotive as a non-linear load a time dependent model must be used. The traction supply system together with the equivalent supply network impedance could be calculated in frequency domain. An iteration algorithm is developed converting the variables in every iteration step between the time and frequency domain.
Identification of differences in genome content between Xanthomonas oryzae pathovar oryzae and Xanthomoas oryzae pathovar oryzicola by suppressive subtractive hybridization and further analysis

Xanthomonas oryzae pathovar (pv.) oryzae (Xoo) causes bacterial leaf blight of rice. X. o. pv. oryzicola (Xoc) causes bacterial leaf streak of rice. Xoo invades the vascular system, while Xoc colonizes the mesophyll parenchyma. To identify key factors that distinguish vascular from non-vascular pathogens, Xoo and Xoc offer a good model. The work presented here provides specific candidate genes and tools for further study. Suppressive subtractive hybridization (SSH) was used to identify sequences unique to one pathovar or the other. Eight clones specific to the Xoo strain used were detected. Four of these were putative insertion sequences (IS). Two encoded a methyltransferase and a putative 0-antigen acetylase, respectively. One matched the upstream sequences of some genes in the avrBs3 family. No clones specific to the Xoc strain used were found. The putative 0-antigen acetylase gene, wxoD, is localized in a lipopolysaccharide biosynthesis locus in Xoo. A partial clone of the corresponding locus in Xoc BLS256 was found to be highly conserved with the corresponding region in X. axonopodis pv. citri, a non-vascular pathogen, but different from the loci in Xoo and X. campestris pv. campestris, a vascular pathogen, consistent with a role in tissue specificity determination. Preliminary work to mutagenize this gene for functional characterization is presented. In a related study, tools to identify and compare type Ill effectors in Xoo and Xoc were assessed. Type Ill effectors are proteins involved in interactions of pathogenic bacteria and their hosts that may play a role in host and tissue specificity. The feasibility of screening Xoo and Xoc genomic libraries with a reporter of type Ill secretion based
Optimizing TrainSet Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm

As a sustainable transportationmode, high-speed railway (HSR) has been developing rapidly during the past decade in China.With the formation of dense HSR network, how to improve the utilization efficiency of train-sets (the carrying tools of HSR) has been a new research hotspot. Moreover, the emergence of railway transportation hubs has brought great challenges to the traditional train-sets’ utilization mode. Thus, in this paper, we address the issue of train-sets’ utilization problem with the consideration of railway transportation hubs, which consists of finding an optimal Train-set Circulation Plan (TCP) to complete trip tasks in a given Train Diagram (TD). An integer programming TCP model is established to optimize the train-set utilization scheme, aiming to obtain the one-to-one correspondence relationship among sets of train-sets, trip tasks, and maintenances. A genetic algorithm (GA) is designed to solve the model. A case study based onNanjing and Shanghai HSR transportation hubs is made to demonstrate the practical significance of the proposed method. The results show that a more efficient TCP can be formulated by introducing train-sets being dispatched among different stations in the same hub.
Web-based Development in the Lively Kernel

The World Wide Web as an application platform becomes increasingly important. However, the development of Web applications is often more complex than for the desktop. Web-based development environments like Lively Webwerkstatt can mitigate this problem by making the development process more interactive and direct. By moving the development environment into the Web, applications can be developed collaboratively in a Wiki-like manner. This report documents the results of the project seminar on Web-based Development Environments 2010. In this seminar, participants extended the Web-based development environment Lively Webwerkstatt. They worked in small teams on current research topics from the field of Web-development and tool support for programmers and implemented their results in the Webwerkstatt environment.
Formation control of mobile robotic manipulators

The aim of this thesis is to provide a possible application for a multi mobile robotic manipulator system that could be used in a smart factory. These robots can be deployed cooperatively in order to achieve difficult tasks, such as transporting a large or heavy object. The system consists of autonomous mobile platforms, each equipped with an arm manipulator. The control architecture is designed and validated using the control law proposed by Garcia de Marina et al. in [15], in combination with a classical PID control approach.
Modeling Sensitivity Analysis of Concentrically Braced Frames under Short and Long Duration Ground Motions 1

Special concentrically braced steel framed (SCBF) system is one of the popular lateral seismic resistant systems used for buildings. Modeling of SCBF involves several sources of epistemic uncertainties such as the low-cycle fatigue input parameters. Low-cycle fatigue induced fracture of braces is critical in controlling the seismic response and resiliency of SCBF structures. Thus, it is important to better quantify and investigate the influence of modeling parameters on the seismic response of SCBF systems under earthquake motions. An extensive analytical study is conducted using OpenSees to study the modeling sensitivity, and in turn, generate fragility curves for two simple configurations of one-story one-bay SCBF under two sets of ground motions that have varying duration. Different modeling parameters are treated deterministically as sources of uncertainties and Tornado Diagram Analysis is used to rank these sources of uncertainty in SCBF modeling. All the analysis results are integrated to develop two sets of fragility curves under short and long duration earthquakes. The results shows that the estimated median collapse capacity is 45% lower when using the long duration set, as compared to the short duration set and using the drift capacity as the seismic intensity measure. A reduction in the obtained drift capacity of about 7% is also observed on average for every 10 seconds increase in the ground motion significant duration increase, which reflects a premature failure than what is intended from design. 1PhD Candidate, Dept. of Civil Engineering, University of Nevada Reno, NV, USA 89557 (email: ali.hammad@nevada.unr.edu) 2Assistant Professor, Dept. of Civil Engineering, University of Nevada Reno, NV, USA 89557 (email: mmoustafa@unr.edu) A. Hammad, M. Moustafa. Modelling Sensitivity Analysis for Concentrically Braced Frames under Short and Long Duration Ground Motions. Proceedings of the 11th National Conference in Earthquake Engineering, Earthquake Engineering Research Institute, Los Angeles, CA. 2018. Eleventh U.S. National Conference on Earthquake Engineering Integrating Science, Engineering & Policy June 25-29, 2018 Los Angeles, California Modeling Sensitivity Analysis of Concentrically Braced Frames under Short and Long Duration Ground Motions A. Hammad and M.A. Moustafa
Differential reactivity of monoclonal antibodies with human colon adenocarcinomas and adenomas

Monoclonal antibodies have been generated using membrane‐enriched extracts of human metastatic mammary carcinoma lesions (Colcher et at., 1981), some of which demonstrated binding to the surface of human colon carcinoma cell lines. We report here an analysis of the reactivity of three of these monoclonal antibodies with formalin fixed tissue sections of human colon adenocar‐cinomas and adenomas. The three monoclonals employed were B72.3, which is reactive with a 220‐400 kdal high molecular weight glycoprotein complex; B6.2, reactive with a 90 kdal glycoprotein, and B1.1, which is reactive with the 180 kdal glycoprotein CEA. B1.1 was least selective in its reactivity to colon carcinoma versus adenoma lesions. When 10 μg/ml of purified B1.1 IgG were used per slide, 94% (15 of 16) of carcinomas and 83% (15 of 18) adenomas showed reactivity. Monoclonal B72.3 demonstrated the most selective reactivity for carcinomas. Eighty‐two percent (14 of 17) of carcinomas were positive while none of 18 adenomas examined showed reactivity with more than a few percent of adenoma cells positive. When a low concentration of purified B72.3 immunoglobulin was used per slide, 8 of 16 carcinomas and none of 46 adenomas or normal colon epithelium samples scored positive. Monoclonal B72.3 also reacted with cells in areas of “atypia” within adenomas. The reactivity of monoclonal B6.2 was intermediate as compared to B1.1 and B72.3 in its selectivity of reactivity for carcinoma cells. A heterogeneity in the populations of tumor cells showing reactivity with the three monoclonals was observed within many of the tumor masses. Both colon adenocar‐cinomas and adenomas can now be placed in several distinct groups based on their expression of antigens reactive with the three monoclonal antibodies employed.
A Fuzzy Approach Scheduling on More Than One Processor System in Real Time Environment

Many scheduling algorithms have been studied to guarantee the time constraints of real-time processes. Scheduling decision of these algorithms is usually based on parameters which are assumed to be crisp. However, in many circumstances the values of these parameters are vague. The vagueness of parameters suggests that we make use of fuzzy logic to decide in what order the requests should be executed to better utilize the system and as a result reduce the chance of a request being missed. Our main contribution is proposing a fuzzy approach to multiprocessor real-time scheduling in which the scheduling parameters are treated as fuzzy variables. In real-time systems, tasks have to be performed correctly and timely. Finding minimal schedule in multiprocessor systems with real-time constraints is shown to be NP-hard. Although some optimal algorithms have been employed in uni-processor systems, they fail when they are applied in multiprocessor systems. The intrinsic uncertainty in dynamic real-time systems increases the difficulties of scheduling problem. To alleviate these difficulties, we have proposed a fuzzy scheduling approach to arrange real-time periodic and non-periodic tasks in multiprocessor systems. Static and dynamic optimal scheduling algorithms fail with noncritical overload. In contrast, our approach balances task loads of the processors successfully while consider starvation prevention and fairness which cause higher priority tasks have higher running probability.
single image defogging method based on deep learning

The invention provides a single image defogging method based on deep learning. The method comprises: acquiring a data set of indoor and outdoor synthetic fog and real fog, the data set comprising: a training set, a test set and a verification set; constructing an end-to-end based on a Residual Network (end-to-end) a deep convolutional neural network, inputting the training set and the verificationset into the deep convolutional neural network and training the model, reaching the maximum number of iterations and ending the training, acquiring the deep convolutional neural network in this time;using the test set to test the defogging effect of the deep convolutional neural network and the optimal model; using the deep convolutional neural network and the optimal model to perform the dehazing treatment on the fogged image of the defogging so that a no-fog image is obtained. The method of the invention realizes end-to-end recovery image clearing and visualization for different concentrations of synthetic fog maps and outdoor real fog maps, and has good defogging effect and practical application value.
Wavelets and Linear Algebra 5 ( 1 ) ( 2018 ) 11-26

M. Amin khaha, A. Askari Hemmatb, R. Raisi Tousic,∗ aDepartment of Applied Mathematics, Faculty of Sciences and new Technologies, Graduate University of Advanced Technology, Kerman, Islamic Republic of Iran. bDepartment of Applied Mathematics, Faculty of Mathematics and Computer, Shahid Bahonar Uninersity of Kerman, Kerman, Islamic Republic of Iran. cDepartment of Mathematics, Ferdowsi University of Mashhad, P. O. Box 1159-91775, Mashhad, Islamic Republic of Iran.
Effects of 254 nm UV irradiation on the mobility and survival of larvae of the invasive fouling mussel Limnoperna fortunei

In order to investigate the feasibility of using ultraviolet (UV) irradiation to prevent the invasive Asian mussel, Limnoperna fortunei, from colonizing components of the cooling systems of industrial and power plants, the mobility and mortality of its larvae were assessed after exposure to different doses of UVC (λ = 254 nm) in laboratory conditions. Total (100%) mortality was achieved with a dose of 149 mJ cm−2 at 23 °C and 103 mJ cm−2 at 25.8 °C. Immediately after exposure, larvae were alive but had reduced mobility. The proportion of active larvae increased after 24 h, but fell again at 48 and 72 h to levels similar to those immediately after exposure. The highest mortality rates were always recorded at the last observation, 72 h after exposure. These results indicate that the larvae of L. fortunei are highly sensitive to UVC, suggesting that UV irradiation has the potential to control fouling by this mussel when the water is relatively clear. However, application of UV-based technologies in plants that use cooling water from water bodies with high loads of suspended solids (eg the Paraná-Uruguay basin, with ca 160 mg l−1 of suspended solids and absorbance values around 0.255) is unlikely to be effective without prior filtration of the water.
A Comprehensive Review on Security Attacks in Dynamic Wireless Sensor Networks based on RPL protocol

– Routing Protocolis designed for Low Power and Lossy Networks (RPL) to support communication among thousands of devices.Internet of Things (IoT) comprised of smart devices like sensors and actuators using RPL protocol. RPL is applied over different applications as industries, smart environments and urban areas. In this paper, a review on security attacks in wireless sensor networks is presented. Several research works have been undergone for resolving vulnerable security threats.Due to the increase in millions and billions of connected devices all over the world, security is a major issue. Hence the deployment of IoT sensor devices in Wireless Sensor Network (WSN) involves mechanisms and algorithms for providing confidentiality, privacy, authentication, attack identification and prevention.Hereby this paper work projects out the major requirements of security in WSN Since the participation of different attacks have been tremendously increased. RPL in IoT is enabled for many real-time applicationswhich also include sensitive data transmissions. The observation in previous research works under security are studied and suggested with future directions.