nils-herrmann/clean_scirepeval huggingface dataset:
PCA based multivariate statistical network monitoring for anomaly detection
Venue: Comput. Secur.
Year: 2016

The multivariate approach based on Principal Component Analysis (PCA) for anomaly detection received a lot of attention from the networking community one decade ago, mainly thanks to the work of Lakhina and co workers. However, this work was criticized by several authors who claimed a number of limitations of the approach. Neither the original proposal nor the critic publications were completely aware of the established methodology for PCA anomaly detection, which by that time had been developed for more than three decades in the area of industrial monitoring and chemometrics as part of the Multivariate Statistical Process Control (MSPC) theory. In this paper, the main steps of the MSPC approach based on PCA are introduced; related networking literature is reviewed, highlighting some differences with MSPC and drawbacks in their approaches; and specificities and challenges in the application of MSPC to networking are analyzed. All of this is demonstrated through illustrative experimentation that supports our discussion and reasoning.
Tracking the Location of Materials on Construction Job Sites
Year: 2006

Automated tracking of materials on construction projects has the potential to both improve project performance and enable effortless derivation of project performance indicators. This paper presents an approach by which materials tagged with radio frequency identification (RFID) tags can be automatically identified and tracked on construction sites, without adding to regular site operations. Essentially, this approach leverages automatic reading of tagged materials by field supervisors or materials handling equipment that are equipped with a RFID reader and a global positioning system receiver. To assess the technical feasibility of this approach, a mathematical model has been formulated such that the job site is represented as a grid and the location of materials within the grid is determined by combining proximity reads from a discrete range. Field experiments were conducted using an off the shelf RFID technology, and several metrics were developed to quantify the field performance and compare it with the theoretical positional accuracy derived from the discrete formulation.
Metal organic framework derived nitrogen doped carbon nanotube cages as efficient adsorbents for solid phase microextraction of polychlorinated biphenyls.
Venue: Analytica chimica acta
Year: 2020

An efficient and stable adsorbent is of critical importance for solid phase microextraction (SPME) In this study, we prepared metal organic framework derived nitrogen (N) doped carbon (C) nanotube cages (N CNTCs) with unique N doped active sites and C rich nanotubes to coat SPME adsorbents. This new material was obtained via a simple thermal treatment with ZIF 67, and exhibited high porosity and excellent chemical and thermal stability. Compared with commercial fibers and traditional C nanotubes coated fiber (15 nm) N CNTC coated fiber exhibited better extraction properties, mainly due to its p p interactions, abundant active sites, and hollow cage structure, which is composed of interconnected crystalline N doped C nanotubes. N CNTC coated fiber exhibited better extraction performance and shorter extraction equilibrium time than the solid N doped C coated fiber due to its hollow cage structure. The N CNTC coated fiber was then used to identify polychlorinated biphenyls (PCBs) with wide linear range (0.3 1000.0 ng L 1) low limits of detection (0.10 0.22 ng L 1) good repeatability (intra day, 2.6 3.8% inter day, 3.3 4.8% and good reproducibility <8.6% We then successfully applied the N CNTC coated fiber to detect PCBs in river water samples from six cities in Fujian Province and obtained satisfactory recovery levels. Thus, the novel N CNTCs coating proposed in this study is a promising candidate for SPME coating.
Superconducting Hydrides Under Pressure
Year: 2019

The measurement of superconductivity at above 200K in compressed samples of hydrogen sulfide and lanthanum hydride at 250K is reinvigorating the search for conventional high temperature superconductors. At the same time it exposes a fascinating interplay between theory, computation and experiment. Conventional superconductivity is well understood, and theoretical tools are available for accurate predictions of the superconducting critical temperature. These predictions depend on knowing the microscopic structure of the material under consideration, and can now be provided through computational first principles structure predictions. The experiments at the megabar pressures required are extremely challenging, but for some groups at least, permit the experimental exploration of materials space. We discuss the prospects for the search for new superconductors, ideally at lower pressures.
Controversies in ART: can the IVF laboratory influence preimplantation embryo aneuploidy?
Venue: Reproductive biomedicine online
Year: 2019

Published reports have indicated that rates of preimplantation embryo aneuploidy in a control donor population may vary between IVF centres. This suggests that location specific conditions, in the clinic, IVF or genetics laboratory, may be influencing the chromosome dynamics or diagnosis. More recent reports suggest that rates of embryo mosaicism, representing mitotic errors, may vary between IVF centres. This would suggest perhaps a laboratory controlled variable is influencing mitotic cell division during preimplantation embryo development. Various IVF laboratory controlled factors may be impacting chromosome separation and segregation. Variables including type of culture media, pH, temperature, osmolality and oxygen concentration could all be possible factors influencing embryo aneuploidy. Furthermore, laboratory techniques, method of insemination, laser use or handling of biopsied cells may also influence genetic results. These IVF laboratory variables will be reviewed and literature suggesting a possible link to mitotic aneuploidy/mosaicism discussed.
When less is more: the impact of macro and micro social media influencers' disclosure
Year: 2020

There are growing discussions of social media influencers and their effectiveness in endorsing products. Further, recent policy regulations are requiring social media influencers to disclose sponsored content when using a form of native advertising. This research examined the effect of macro influencers (high likes) and micro influencers (low likes) and their disclosure of native advertising sponsorship on consumer evaluations of products. Results from a 2 x 2 experiment first show that consumers exposed to the micro influencer condition report higher levels of product knowledge, and consumers exposed to the disclosure condition reported the products endorsed by social media influencers to be more attractive. The results also show that when exposed to micro influencers who disclose, consumers have higher levels of purchase intentions than when exposed to macro influencers who do not disclose, as well as higher purchase intentions than for posts where sponsorship is not disclosed by influencers. The important findings of this research for theory, practice and policy are discussed.
Nondestructive Estimation of the Above Ground Biomass of Multiple Tree Species in Boreal Forests of China Using Terrestrial Laser Scanning
Venue: Forests
Year: 2019

Above ground biomass (AGB) plays a pivotal role in assessing a forest's resource dynamics, ecological value, carbon storage, and climate change effects. The traditional methods of AGB measurement are destructive, time consuming and laborious, and an efficient, relatively accurate and non destructive AGB measurement method will provide an effective supplement for biomass calculation. Based on the real biophysical and morphological structures of trees, this paper adopted a non destructive method based on terrestrial laser scanning (TLS) point cloud data to estimate the AGBs of multiple common tree species in boreal forests of China, and the effects of differences in bark roughness and trunk curvature on the estimation of the diameter at breast height (DBH) from TLS data were quantitatively analyzed. We optimized the quantitative structure model (QSM) algorithm based on 100 trees of multiple tree species, and then used it to estimate the volume of trees directly from the tree model reconstructed from point cloud data, and to calculate the AGBs of trees by using specific basic wood density values. Our results showed that the total DBH and tree height from the TLS data showed a good consistency with the measured data, since the bias, root mean square error (RMSE) and determination coefficient (R2) of the total DBH were 0.8 cm, 1.2 cm and 0.97, respectively. At the same time, the bias, RMSE and determination coefficient of the tree height were 0.4 m, 1.3 m and 0.90, respectively. The differences of bark roughness and trunk curvature had a small effect on DBH estimation from point cloud data. The AGB estimates from the TLS data showed strong agreement with the reference values, with the RMSE, coefficient of variation of root mean square error (CV(RMSE) and concordance correlation coefficient (CCC) values of 17.4 kg, 13.6% and 0.97, respectively, indicating that this non destructive method can accurately estimate tree AGBs and effectively calibrate new allometric biomass models. We believe that the results of this study will benefit forest managers in formulating management measures and accurately calculating the economic and ecological benefits of forests, and should promote the use of non destructive methods to measure AGB of trees in China.
Nodes Deployment Optimization Algorithm Based on Fuzzy Data Fusion Model in Wireless Sensor Networks
Venue: ADMA
Year: 2019

As an integrated network, wireless sensor networks can connect the logic information world with the real physical world by performing information sensing, gathering, processing and delivering. There are diverse and potential applications for Wireless sensor networks. In recent years, the increasing requisitions of Wireless sensor networks have more and more research dedicated to the question of sensor nodes deployment. As for the nodes deployment of underwater wireless sensor networks, the optimization strategy on node deployment determines the capability and quality of service of Wireless sensor networks as well. There are some key points that should be considered, including the coverage range to be monitored, energy consumption of nodes, amount of deployed sensors, connectivity, and lifetime of the Wireless sensor networks. This paper analyzes the problem of nodes deployment optimization in wireless sensor network. Referring to the fuzzy cognitive model and fuzzy data fusion model, with consideration of certain environmental factors which may affect the detection result, a novel method NAFC is presented in this paper. The simulation model is established by MATLAB software. According to the simulation results, the demonstrated algorithm of underwater sensor node deployment shows its effectiveness, which can fulfill the requisition of network coverage ratio, reduce the number of deployed nodes, prolong the network lifetime and expand the detection range of network, thus the scheme improve the comprehensive detection performance of WSN accordingly.
Error repair Dependency Parsing for Ungrammatical Texts
Venue: ACL
Year: 2017

We propose a new dependency parsing scheme which jointly parses a sentence and repairs grammatical errors by extending the non directional transition based formalism of Goldberg and Elhadad (2010) with three additional actions: SUBSTITUTE, DELETE, INSERT. Because these actions may cause an infinite loop in derivation, we also introduce simple constraints that ensure the parser termination. We evaluate our model with respect to dependency accuracy and grammaticality improvements for ungrammatical sentences, demonstrating the robustness and applicability of our scheme.
Russia's Hostile Measures in Europe: Understanding the Threat
Year: 2019

This report examines current Russian hostile measures in Europe and forecasts how Russia might threaten Europe using these measures over the next few years. This report observes that Russia has the most strategic interest in influencing western Europe, but it has the most leverage over countries of eastern Europe, and offers a range of recommendations for the U.S. government and for the U.S. Army on countering hostile measures.
Clinic Management System (Rapid Clinic)
Year: 2015

This project is a clinic management system that will be used to solve the current problems that facing by the local clinic in Malaysia. Clinic Management System is a web based platform system. The main objectives of this project is to improve the business process of the clinic in Malaysia by using the information technology and also enhance the current clinic management software in the market. The scope of this project include systematic scheduling in queue list, appointment module with SMS notification, patient's registration using MyKad reader and generate medical certificate (MC) to print out. Systematic scheduling can sort the patient in the queue fairly and display the waiting time of each patient. Patient can make appointment and notification will be send to their phone. Besides, patient can use MyKad during the registration at the counter which is quite convenient and save time. Other than that, MC can be generated and print out on the paper and doctor just need to sign the MC and chop with his name. As this is a web based platform system, C# is the programming language and the project is developed under ASP.Net framework. The software development methodology that used in this project is phased development because of fast implementation and short time schedule. The clinic management system can divide into few phases and each phase consist of few modules which can easily develop and build up the system in short time.
O ct 2 01 9 Subspace Estimation from Unbalanced and Incomplete Data Matrices l 2 Statistical Guarantees
Year: 2019

This paper is concerned with estimating the column space of an unknown low rank matrix A R d1xd2 given noisy and partial observations of its entries. There is no shortage of scenarios where the observations while being too noisy to support faithful recovery of the entire matrix still convey sufficient information to enable reliable estimation of the column space of interest. This is particularly evident and crucial for the highly unbalanced case where the column dimension d2 far exceeds the row dimension d1, which is the focal point of the current paper. We investigate an efficient spectral method, which operates upon the sample Gram matrix with diagonal deletion. We establish statistical guarantees for this method in terms of both l2 and l2, estimation accuracy, which improve upon prior results if d2 is substantially larger than d1. To illustrate the effectiveness of our findings, we develop consequences of our general theory for three applications of practical importance: (1) tensor completion from noisy data, (2) covariance estimation with missing data, and (3) community recovery in bipartite graphs. Our theory leads to improved performance guarantees for all three cases.
Toward an Indigenous, Decolonizing School Leadership: A Literature Review
Year: 2019

The colonial origins of schooling and the implications these origins have on leadership is missing from educational leadership literature. Indeed little has been published on decolonizing and indigenous ways of leading schools.  In this article, we synthesize the literature on indigenous, decolonizing education leadership values and practices across national and international spaces that have been informed to various degrees by colonial models of schooling.  Through a review of the research and keywords including colonialism, educational leadership, indigenous communities, and decolonization, we identify two overarching themes.  First, we found that the literature revealed a critique of the way in which Westernized Eurocentric schooling serves as a tool of imperialism, colonization, and control in the education of Indigenous peoples. Second, we discovered that the literature provided unique, but overlapping worldviews that situate the values and approaches enacted by Indigenous leaders throughout the globe. Within this second theme, we identify five strands of an Indigenous, Decolonizing School Leadership (IDSL) framework that can contribute to the development and reflection of school leadership scholars and practitioners. Specifically, we found that the five consistent and identifiable strands across IDSL include prioritizing Indigenous ancestral knowledge, enacting self reflection and self determination, connecting with and empowering the community, altruism, and spirituality as expressed through servant leadership, and inclusive communication practices.  Based on the identified worldviews and values, we conclude by offering insights on the structure and policy of post colonial schooling, as well as implications for the theory, research and practice needed to reclaim the co opted contributions of Indigenous leaders in ways that decenter Western colonial approaches to leadership.
Principal component analysis of three dimensional face shape: Identifying shape features that change with age
Venue: Skin research and technology official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging
Year: 2018

The types of shape feature that constitutes a face have not been comprehensively established, and most previous studies of age related changes in facial shape have focused on individual characteristics, such as wrinkle, sagging skin, etc. In this study, we quantitatively measured differences in face shape between individuals and investigated how shape features changed with age.
A proposed model for assessing e government service quality: An E S QUAL approach
Venue: 2012 International Conference on Computer Information Science (ICCIS)
Year: 2012

Electronic government (e government) organizations seek to increase their efficiency by improving their electronic services (e services) taking advantage of the rapid advances in technology. Quality of service is imperative issue for successful e government project. Improving the e government service quality can result in increasing the user's acceptance and use of these services. Scholars and researchers realized that the poor quality of e service can cause the failure to the projects. However, many governments are developing their projects without taking into consideration this concern. Thus, this study proposes eight dimensions that enhance the perceived value and increase the loyalty of the intention to use by adopting and modifying the E S QUAL scale. These dimensions include: efficiency, fulfillment, system availability, privacy, responsiveness, contact, personalization, and web appearance. This paper tries to enhance the literature of the e service quality by describing the application of the E S QUAL scale in the e government domain.
Six year multicenter study on short term peripheral venous catheters related bloodstream infection rates in 204 intensive care units of 57 hospitals in 19 cities of India: International Nosocomial Infection Control Consortium (INICC) findings.
Venue: American journal of infection control
Year: 2020

Short term peripheral venous catheters related bloodstream infections (PVCR BSIs) rates have not been systematically studied in developing countries, and data on their incidence by number of device days are not available.  Prospective, surveillance study on PVCR BSI conducted from September 1, 2013 to May 31, 2019 in 204 intensive care units (ICUs) members of the International Nosocomial Infection Control Consortium (INICC) from 57 hospitals in 19 cities of India. We applied US INICC definition criteria and reported methods using the INICC Surveillance Online System.  We followed 7,513 ICU patients for 296,893 bed days and 295,795 short term peripheral venous catheter (PVC) days. We identified 863 PVCR BSIs, amounting to a rate of 2.91/1,000 PVC days. Mortality in patients with PVC but without PVCR BSI was 4.14% and 11.59% in patients with PVCR BSI. The length of stay in patients with PVC but without PVCR BSI was 4.13 days, and 5.9 days in patients with PVCR BSI. The micro organism profile showed 68% of gram negative bacteria: Escherichia coli (23% Klebsiella spp (15% Pseudomonas aeruginosa (5% and others. The predominant gram positive bacteria were Staphylococcus aureus (10% CONCLUSIONS PVCR BSI rates found in our ICUs were much higher than rates published from industrialized countries. Infection prevention programs must be implemented to reduce the incidence of PVCR BSIs.
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
Venue: Bioinform.
Year: 2010

It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data.  The package is freely available under the LGPL licence from the Bioconductor web site (http:/bioconductor.org)