nils-herrmann/clean_scirepeval huggingface dataset:
Influencia de la fibra de yute en el diseno de hormigones para resistencia a la compresion de 21 a 35 Mpa con agregados de la cantera de Pifo
Year: 2017

Jute is a plant that generates a high amount of vegetable fiber with which, frequently, sacks are made to transport raw materials. With the aim to propose an alternative utilization of this material, in the present research is compared the mechanical performance of an ordinary concrete produced with national materials against concretes containing different percentages of jute fiber (0.1% 0.2% 0.3% and 0.4% From such mixtures, several specimens were done in order to be tested for compression and flexural strength at the ages of 7, 14 and 28 days. Based on the experiments carried out, it is concluded that, under the specific conditions used in this work, the strengths generated were increased when an optimal percentage of 0.2% of jute fiber in the concrete is included.
Technology transfer in the supply chain oriented to industry 4.0: a literature review
Venue: Technol. Anal. Strateg. Manag.
Year: 2019

In the supply chain oriented to Industrial 4.0 Scenario the scarcity of studies on Technology Transfer (TT) can be easily observed. TT is a fundamental process, because it steers the absorption and dissemination of technologies towards the various stages of supply chain. The objective of this study is to contextualise TT in the supply chain of Industrial 4.0 Scenario, focusing on the supply, manufacturing industry and final consumer stages. A review of the literature was carried out, using a structured protocol and criteria to compose the bibliographic portfolio. To support the questions presented in this study, the most relevant articles related to the researched topic were thoroughly analyzed. The results infers that in the Industrial 4.0 Scenario, the supply chain will go through changes, such as real time visibility throughout the entirety of the supply chain, continuous collaboration between the stages of the chain, among other significant changes.
Self control makes the difference: The psychological mechanism of dual processing model on internet addicts' unusual behavior in intertemporal choice
Venue: Comput. Hum. Behav.
Year: 2019

People may often encounter a dilemma where they have to choose between smaller but immediate benefits and larger but delayed rewards, which is termed intertemporal choice. To explore the unusual behavior in intertemporal choice among those who are addicted to internet, a dual processing model, which is at present limited to the neural science, is tested and further extended to behavioral domain through a series of laboratory experiment. Study 1 tested and supported the dual processing model on intertemporal choice, showing that the hot processing and cold processing systems displayed an interacting effect on internet addicts' behaviors in intertemporal choice. Study 2 examined different features of processing type among internet addicts and common people, finding that internet addicts did not show preference over any kind of three processing types as common people did. Moreover, we found that level of self control displayed a mediating effect on internet addicts and healthy control's different behavior in intertemporal choice. At last, study 3 manipulated the level of self control to explore the mediator effect on internet addicts' unusual behavior in intertemporal choice, showing that self control mediated the relationship between subject type and intertemporal choice. The findings indicated that the self control as the psychological mechanism in the intertemporal choice.
Satisfaction: a segmentation criterion for "short term" visitors of mountainous destinations.
Year: 2006

The purpose of the study was to study the "short term" visitors of mountainous destinations in order to gain a better understanding of this market and improve marketing practices. The objectives of the study were (a) to develop a measurement instrument on "short term" visitors' satisfaction and (b) to segment "short term" visitors of mountainous destinations based on their satisfaction. An anonymous questionnaire was given to 170 subjects who participated in a three day trip organized by travel agencies to the mountainous region of Hepeiros, Greece, from November 2003 to February 2004. The questionnaire was given the last day of the trip and was answered by 115 individuals (68% response rate) A factor analysis followed by a cluster analysis on satisfaction was performed for identifying distinct tourist segments. Classification with discriminant analysis was used to test the two satisfaction segments. Furthermore, a Multivariate Analysis of Variance was employed to better describe the segments us.
Missing Value Prediction Using Co clustering and RBF for Collaborative Filtering
Venue: 2015 International Conference on Cloud Computing and Big Data (CCBD)
Year: 2015

The sparsity of user item rating matrix will reduce the performance of collaborative filtering algorithm in news recommendation system. In order to overcome the problem, we predict the values of user item rating matrix combining two approaches: co clustering and Radial Basis Function network (RBF) Co clustering algorithm simultaneous cluster the rows and columns of the user item rating matrix. It can cluster the matrix into several small matrix with high similarity. We take advantage of the similarity of a cluster and then predict the values using RBF network. This method can complement the sparse user item rating matrix and improve the accuracy of news recommendation system by collaborative filtering algorithm. Experimental results on Xiamen University campus news data set demonstrate the efficiency and effectiveness of the proposed missing value prediction method.
Introduction to Multivariate Statistical Analysis in Chemometrics
Year: 2009

Principal Component Analysis (PCA) Concepts Number of PCA Components Centering and Scaling Outliers and Data Distribution Robust PCA Algorithms for PCA Evaluation and Diagnostics Complementary Methods for Exploratory Data Analysis  Calibration Concepts Performance of Regression Models Ordinary Least Squares Regression Robust Regression Variable Selection Principal Component Regression Partial Least Squares Regression Related Methods Examples Summary Classification Concepts Linear Classification Methods Kernel and Prototype Methods Classification Trees Artificial Neural Networks Support Vector Machine Evaluation Examples Summary Cluster Analysis Concepts Distance and Similarity Measures  Clustering Model Based Clustering Cluster Validity and Clustering Tendency Measures Examples Summary Preprocessing Concepts Smoothing and Differentiation Multiplicative Signal Correction Mass Spectral Features Appendix 1: Symbols and Abbreviations   Introduction to R Index References appear at the end of each chapter.
Monolithic integration of MoS2 based visible detectors and GaN based UV detectors
Venue: Photonics Research
Year: 2019

With the increasing demand for high integration and multi color photodetection for both military and civilian applications, the research of multi wavelength detectors has become a new research hotspot. However, current research has been mainly in visible dual or multi wavelength detectors, while integration of both visible light and ultraviolet (UV) dual wavelength detectors has rarely been studied. In this work, large scale and high quality monolayer MoS2 was grown by the chemical vapor deposition method on transparent free standing GaN substrate. Monolithic integration of MoS2 based visible detectors and GaN based UV detectors was demonstrated using common semiconductor fabrication technologies such as photolithography, argon plasma etching, and metal deposition. High performance of a 280 nm and 405 nm dual wavelength photodetector was realized. The responsivity of the UV detector reached 172.12 A/W, while that of the visible detector reached 17.5 A/W. Meanwhile, both photodetectors achieved high photocurrent gain, high external quantum efficiency, high normalized detection rate, and low noise equivalent power. Our study extends the future application of dual wavelength detectors for image sensing and optical communication.
Hamartomas, teratomas and teratocarcinosarcomas of the head and neck: Report of 3 new cases with clinico pathologic correlation, cytogenetic analysis, and review of the literature
Venue: BMC ear, nose, and throat disorders
Year: 2008

BackgroundGerm cell tumors (GCT) are a histologically and biologically diverse group of neoplasms which primarily occur in the gonads but also develop at different extragonadal sites in the midline of the body. The head and neck region including the upper respiratory tract is a very rare location for such tumors in both children and adults, which can cause diagnostic and therapeutic difficulties.MethodsWe describe here two new cases of multilineage tumors including sinonasal teratocarcinosarcoma [SNTCS] and congenital oronasopharyngeal teratoma (epignathus) and compare their features with those of a new case of a rare salivary gland anlage tumor [SGAT] an entity for which the pathogenesis is unclear (i.e. hamartoma versus neoplasm) We correlate their presenting clinico pathological features and compare histologic and cytogenetic features in an attempt to elucidate their pathogenesis and biologic potentials.Results and discussionCytogenetic analysis revealed chromosomal abnormalities only in the case of SNTCS that showed trisomy 12 and 1p deletion. Both cytogenetic abnormalities are characteristically present in malignant germ cell tumors providing for the first time evidence that this rare tumor type indeed might represent a variant of a germ cell neoplasm. The SGAT and epignathus carried no such cytogenetic abnormalities, in keeping with their limited and benign biologic potential.ConclusionThe comparison of these three cases should serve to emphasize the diversity of multilineage tumors (hamartomas and GCT) of the upper respiratory tract in regards to their biology, age of presentation and clinical outcomes. Malignant tumors of germ cell origins are more likely to affect adults with insidious symptom development, while benign tumors can nevertheless cause dramatic clinical symptoms which, under certain circumstances, can be fatal.
Physiology and molecular biology of petal senescence.
Venue: Journal of experimental botany
Year: 2008

Petal senescence is reviewed, with the main emphasis on gene expression in relation to physiological functions. Autophagy seems to be the major mechanism for large scale degradation of macromolecules, but it is still unclear if it contributes to cell death. Depending on the species, petal senescence is controlled by ethylene or is independent of this hormone. EIN3 like (EIL) transcription factors are crucial in ethylene regulated senescence. The presence of adequate sugar levels in the cell delays senescence and prevents an increase in the levels of EIL mRNA and the subsequent up regulation of numerous senescence associated genes. A range of other transcription factors and regulators are differentially expressed in ethylene sensitive and ethylene insensitive petal senescence. Ethylene independent senescence is often delayed by cytokinins, but it is still unknown whether these are natural regulators. A role for caspase like enzymes or metacaspases has as yet not been established in petal senescence, and a role for proteins released by organelles such as the mitochondrion has not been shown. The synthesis of sugars, amino acids, and fatty acids, and the degradation of nucleic acids, proteins, lipids, fatty acids, and cell wall components are discussed. It is claimed that there is not enough experimental support for the widely held view that a gradual increase in cell leakiness, resulting from gradual plasma membrane degradation, is an important event in petal senescence. Rather, rupture of the vacuolar membrane and subsequent rapid, complete degradation of the plasma membrane seems to occur. This review recommends that more detailed analysis be carried out at the level of cells and organelles rather than at that of whole petals.
Ultra high speed graphene optical modulator design based on tight field confinement in a slot waveguide
Year: 2018

We present a design of an ultra fast in line graphene optical modulator on a silicon waveguide with a bandwidth exceeding 100 GHz, very small power consumption below 15 fJ/bit, and insertion loss of 1.5 dB. This is achieved by utilizing the transverse electric mode silicon slot to tailor the overlap of graphene electrodes, thus significantly reducing the capacitance of the device while maintaining a low insertion loss and using conservative estimates of the graphene resistance. Our design is substantiated by comprehensive finite element method simulations and RC circuit characterization, as well as fabrication feasibility discussion.
Design and simulation of integration system between automated material handling system and manufacturing layout in the automotive assembly line
Year: 2017

Material handling system (MHS) is an important part for the productivity plant and has recognized as an integral part of today's manufacturing system. Currently, MHS has growth tremendously with its technology and equipment type. Based on the case study observation, the issue involving material handling system contribute to the reduction of production efficiency. This paper aims to propose a new design of integration between material handling and manufacturing layout by investigating the influences of layout and material handling system. A method approach tool using Delmia Quest software is introduced and the simulation result is used to assess the influences of the integration between material handling system and manufacturing layout in the performance of automotive assembly line. The result show, the production of assembly line output increases more than 31% from the current system. The source throughput rate average value went up to 252 units per working hour in model 3 and show the effectiveness of the pick to light system as efficient storage equipment. Thus, overall result shows, the application of AGV and the pick to light system gave a large significant effect in the automotive assembly line. Moreover, the change of layout also shows a large significant improvement to the performance.
Informational efficiency of Bitcoin An extension
Year: 2018

We revisit the issue of informational efficiency of Bitcoin using a battery of computationally efficient long range dependence estimators for a period spanning over July 18, 2010 to June 16, 2017. We report that the market is informational efficient as consistent to recent findings of Urquhart (2016) Nadarajah and Chu (2017) and Bariviera (2017)
How Does Bank Competition Affect Systemic Banking Crises?
Year: 2019

Literature present conflicting views on the effect of bank competition on financial stability. Some argue that competition increases adverse shocks in the financial system while others argue that it reduces the likelihood of such events. The purpose of this study is to further examine this relationship using a more recent systemic banking crises database of Laeven and Valencia (2018) There are 61 countries which had experienced systemic crises during 1996 2017. This study used Lerner index and Boone indicator as proxy measures of competition and three estimation techniques to estimate the relationship. The results indicate that the effect of competition on financial stability varies with estimation techniques and proxy measures of competition and stability. Lerner index indicates that competition increases financial instability while Boone indicator shows the opposite. Thus, this study concludes with mixed evidence on the relationship between bank competition and financial stability.
Sacrificing Sleep for Scores: A Cross Cultural Perspective on the Hidden Costs of Sleep Loss in Adolescents
Venue: Behavioral sleep medicine
Year: 2016

In this issue of Behavioral Sleep Medicine, Quick et al. found that a nocturnal sleep duration of less than 8 hr appears to contribute to the development of maladaptive eating behaviors and attitudes in college students, which are in turn associated with a major health concern, that is, an increased risk of obesity (Quick et al. 2016) It should be noted that these same sleep related impairments involving executive functioning and decision making may occur in younger students as well, often with devastating results. In particular, chronic voluntary sleep restriction combined with academic stress in high school students may make them even more vulnerable to health, mood, behavior, and cognitive consequences. In a recent article published in the Journal of School Health, we explored the extent of voluntary sleep curtailment practiced by high school students in China in preparation for the national College Entrance Exam (CEE) and the association with concurrent academic performance and consequent CEE scores (Wang et al. 2016) Our results suggest that the gains and losses associated with sacrificing sleep for higher CEE scores should be cautiously weighed, and echo Quick et al.'s conclusions that sufficient sleep in young adults is critical to health, well being, and function. The CEE in China, similar to the Scholastic Assessment Test (SAT) is taken by an estimated 10 million 12th graders; however, 25% will fail to achieve an eligible score for college enrollment. Moreover, there are only a few top academic institutions like Peking University and thus students
Intelligent Vehicle Path Planning Based on Hybrid Algorithm
Venue: 2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)
Year: 2020

Aiming at the path planning problem of smart cars in complex environments, a hybrid algorithm was proposed for path planning. In the hybrid algorithm, the A algorithm was combined with the artificial potential field method. The hybrid algorithm fully absorbed the advantages of the two algorithms and made up for the shortcomings of their respective algorithms. The existing problems of traditional A algorithm and artificial potential field method were improved respectively. Then, the two improved algorithms were merged. And the shortest path was obtained by using A algorithm. The improved artificial potential field method could effectively avoid various obstacles on the road. The hybrid algorithm appearing above made up for the shortcomings that the A algorithm couldn't be applied to dynamic environments, and the artificial potential field method couldn't plan the shortest path. The effectiveness of the improved algorithm and hybrid algorithm was verified by MATLAB software.
Dynamic Orchestration of Security Services at Fog Nodes for 5G IoT
Venue: ICC 2020 2020 IEEE International Conference on Communications (ICC)
Year: 2020

Fog Computing is one of the edge computing paradigms that envisages being the proximate processing and storage infrastructure for a multitude of IoT appliances. With its dynamic deployability as a medium level cloud service, fog nodes are enabling heterogeneous service provisioning infrastructure that features scalability, interoperability, and adaptability. Out of the various 5G based services possible with the fog computing platforms, security services are imperative but minimally investigated direct live. Thus, in this research, we are focused on launching security services in a fog node with an architecture capable of provisioning on demand service requests. As the fog nodes are constrained on resources, our intention is to integrate light weight virtualization technology such as Docker for forming the service provisioning infrastructure. We managed to launch multiple security instances configured to be Intrusion Detection and Prevention Systems (IDPSs) on the fog infrastructure emulated via a Raspberry Pi 4 device. This environment was tested with multiple network flows to validate its feasibility. In our proposed architecture, orchestration strategies performed by the security orchestrator were stated as guidelines for achieving pragmatic, dynamic orchestration with fog in IoT deployments. The results of this research guarantee the possibility of developing an ambient security service model that facilitates IoT devices with enhanced security.
Supply Chain Scenario Planning Coronavirus Synopsis Questions Supply Chain Resilience, Contingencies, and Business Continuity Plans
Year: 2020

Supply chain scenario planning Coronavirus synopsis questions<br>Supply chain resilience, contingencies, and business continuity plans<br><br>Historic case study of high dependency on the region and the inappropriate spread of manufacturing load. Contingency planning to address business continuity frameworks more serious, rather than a tick box exercise.<br><br>Classic case study Will China prove to the world that it can catch up on speed even in the most difficult time too?<br><br>Organic growth and units in their local regions by onshore or near shore operations, hence more bilateral agreements in international trade import and export.<br><br>Operationally weak businesses/brands will vanish. Time to discover or develop diversified value chains as now supply chains will compete against other supply chains.<br><br>Scrutiny and high demand for health standards and reforms in businesses.
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Year: 2020

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A Discontinuous Galerkin Fast Spectral Method for Multi Species Full Boltzmann on Streaming Multi Processors
Venue: PASC
Year: 2019

When the molecules of a gaseous system are far apart, say in microscale gas flows where the surface to volume ratio is high and hence the surface forces dominant, the molecule surface interactions lead to the formation of a local thermodynamically non equilibrium region extending few mean free paths from the surface. The dynamics of such systems is accurately described by Boltzmann equation. However, the multi dimensional nature of Boltzmann equation presents a huge computational challenge. With the recent mathematical developments and the advent of petascale, the dynamics of full Boltzmann equation is now tractable. We present an implementation of the recently introduced multi species discontinuous Galerkin fast spectral (DGFS) method for solving full Boltzmann on streaming multi processors. The present implementation solves the inhomogeneous Boltzmann equation in span of few minutes, making it at least two order of magnitude faster than the present state of art stochastic method direct simulation Monte Carlo widely used for solving Boltzmann equation. Various performance metrics, such as weak/strong scaling have been presented. A parallel efficiency of 0.96 0.99 is demonstrated on 36 Nvidia Tesla P100 GPUs.