nils-herrmann/clean_scirepeval huggingface dataset:
Conditional Restricted Boltzmann Machines for Structured Output Prediction
Venue: UAI
Year: 2011

Conditional Restricted Boltzmann Machines (CRBMs) are rich probabilistic models that have recently been applied to a wide range of problems, including collaborative filtering, classification, and modeling motion capture data. While much progress has been made in training non conditional RBMs, these algorithms are not applicable to conditional models and there has been almost no work on training and generating predictions from conditional RBMs for structured output problems. We first argue that standard Contrastive Divergence based learning may not be suitable for training CRBMs. We then identify two distinct types of structured output prediction problems and propose an improved learning algorithm for each. The first problem type is one where the output space has arbitrary structure but the set of likely output configurations is relatively small, such as in multi label classification. The second problem is one where the output space is arbitrarily structured but where the output space variability is much greater, such as in image denoising or pixel labeling. We show that the new learning algorithms can work much better than Contrastive Divergence on both types of problems.
Healthcare Insurance Fraud Detection Leveraging Big Data Analytics
Year: 2015

Health Insurance fraud is a major crime that imposes significant financial and personal costs on individuals, businesses, government and society as a whole. So there is a growing concern among the insurance industry about the increasing incidence of abuse and fraud in health insurance. Health Insurance frauds are driving up the overall costs of insurers, premiums for policyholders, providers and then intern countries finance system. It encompasses a wide range of illicit practices and illegal acts. This paper provides an approach to detect and predict potential frauds by applying big data, hadoop environment and analytic methods which can lead to rapid detection of claim anomalies. The solution is based on a high volume of historical data from various insurance company data and hospital data of a specific geographical area. Such sources are typically voluminous, diverse, and vary significantly over the time. Therefore, distributed and parallel computing tools collectively termed big data have to be developed. Paper demonstrate the effectiveness and efficiency of the open source predictive modeling framework we used, describe the results from various predictive modeling techniques .The platform is able to detect erroneous or suspicious records in submitted health care data sets and gives an approach of how the hospital and other health care data is helpful for the detecting health care insurance fraud by implementing various data analytic module such as decision tree, clustering and naive Bayesian classification. Aim is to build a model that can identify the claim is a fraudulent or not by relating data from hospitals and insurance company to make health insurance more efficient and to ensure that the money is spent on legitimate causes. Critical objectives included the development of a fraud detection engine with an aim to help those in the health insurance business and minimize the loss of funds to fraud.
Kernel Protection Against Just In Time Code Reuse
Venue: ACM Trans. Priv. Secur.
Year: 2019

The abundance of memory corruption and disclosure vulnerabilities in kernel code necessitates the deployment of hardening techniques to prevent privilege escalation attacks. As stricter memory isolation mechanisms between the kernel and user space become commonplace, attackers increasingly rely on code reuse techniques to exploit kernel vulnerabilities. Contrary to similar attacks in more restrictive settings, as in web browsers, in kernel exploitation, non privileged local adversaries have great flexibility in abusing memory disclosure vulnerabilities to dynamically discover, or infer, the location of code snippets in order to construct code reuse payloads. Recent studies have shown that the coupling of code diversification with the enforcement of a "read XOR execute" (RX) memory safety policy is an effective defense against the exploitation of userland software, but so far this approach has not been applied for the protection of the kernel itself. In this article, we fill this gap by presenting kRX: a kernel hardening scheme based on execute only memory and code diversification. We study a previously unexplored point in the design space, where a hypervisor or a super privileged component is not required. Implemented mostly as a set of GCC plugins, kRX is readily applicable to x86 Linux kernels (both 32b and 64b) and can benefit from hardware support (segmentation on x86, MPX on x86 64) to optimize performance. In full protection mode, kRX incurs a low runtime overhead of 4.04% which drops to 2.32% when MPX is available, and 1.32% when memory segmentation is in use.
A Prototype Geospatial Knowledge Graph for National Topographic Mapping
Year: 2020

Knowledge graphs (KG) are a virtual layer connecting disparate databases into an interoperable framework. Though the application of KGs for enterprises are increasing, geospatial KG design is not common. This presentation describes U.S. Geological Survey (USGS) research to build KGs for integrating geospatial and non spatial attribute semantics of topographic data. Those geographic information system databases are composed of various feature types and metadata attributes organized various themes and stored in different data formats, such as geodatabases, flat file spreadsheets, and raster images. The system being created tests two research objectives: 1) the feasibility of semantic technology approaches for geospatial data within the context of national topographic data and 2) the contribution to building a body of knowledge about system architecture for geospatial ontologies and linked open data. This presentation discusses the context of topographic data semantics, the problem and aims of building the system, and the integrated KG framework. The basic workflow and operations of the system architecture consisting of open source software are described. The architecture modifies existing software with unique solutions such as performing GeoSPAQL queries with Postgres, a relational table datastore, and a map interface with extensions to support linked data queries as browseable graphs. As public spatial data infrastructure, the system is made available as a Docker Container on GitHub.
Space Diversity in MIMO Power Line Channels with Independent Impulsive Noise
Year: 2012

Multiple input multiple output (MIMO) has been employed for wireless communications in order to increase the reliability and improve the performance. In this paper MIMO is employed for Power Line Communications (PLC) in an effort to investigate the space diversity gain in PLC systems. It is shown in this paper that in the presence of impulsive noise, a combination of space and time coding is required to guarantee an improvement in performance. Furthermore, the dependency of impulsive noise to the background noise is being investigated.
Low cost inkjet antennas for RFID applications
Year: 2016

We present paper based inkjet antennas that are fabricated by using silver based cartridges in standard printers. In addition to their low costs, the produced antennas are flexible, environmentally friendly, and suitable for radio frequency identification (RFID) applications. Among alternative choices, hybrid structures involving loop and parasitic meander parts are preferred and successfully combined with passive RFID chips. We also discuss main challenges in the design and fabrication of low cost inkjet antennas and the related RFID tags.
The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin Family Designs
Venue: Twin Research and Human Genetics
Year: 2019

The Netherlands Twin Register (NTR) is a national register in which twins, multiples and their parents, siblings, spouses and other family members participate. Here we describe the NTR resources that were created from more than 30 years of data collections; the development and maintenance of the newly developed database systems, and the possibilities these resources create for future research. Since the early 1980s, the NTR has enrolled around 120,000 twins and a roughly equal number of their relatives. The majority of twin families have participated in survey studies, and subsamples took part in biomaterial collection (e.g. DNA) and dedicated projects, for example, for neuropsychological, biomarker and behavioral traits. The recruitment into the NTR is all inclusive without any restrictions on enrollment. These resources the longitudinal phenotyping, the extended pedigree structures and the multigeneration genotyping allow for future twin family research that will contribute to gene discovery, causality modeling, and studies of genetic and cultural inheritance.
Bayesian classifiers applied to the Tennessee Eastman process.
Venue: Risk analysis an official publication of the Society for Risk Analysis
Year: 2014

Fault diagnosis includes the main task of classification. Bayesian networks (BNs) present several advantages in the classification task, and previous works have suggested their use as classifiers. Because a classifier is often only one part of a larger decision process, this article proposes, for industrial process diagnosis, the use of a Bayesian method called dynamic Markov blanket classifier that has as its main goal the induction of accurate Bayesian classifiers having dependable probability estimates and revealing actual relationships among the most relevant variables. In addition, a new method, named variable ordering multiple offspring sampling capable of inducing a BN to be used as a classifier, is presented. The performance of these methods is assessed on the data of a benchmark problem known as the Tennessee Eastman process. The obtained results are compared with naive Bayes and tree augmented network classifiers, and confirm that both proposed algorithms can provide good classification accuracies as well as knowledge about relevant variables.
Crisis Critical Intellectual Property: Findings from the COVID 19 Pandemic.
Year: 2020

Within national and international innovation systems a pandemic calls for large scale action by many actors across sectors, to mobilise resources, developing and manufacturing Crisis Critical Products (CC Products) efficiently and in the huge quantities needed. Nowadays, this also includes digital innovations from complex epidemiological models, AI, to open data platforms for prevention, diagnostic and treatment. Amongst the many challenges during a pandemic, innovation and manufacturing stakeholders find themselves engaged in new relationships, and are likely to face intellectual property (IP) related challenges. This paper adopts an IP perspective on the COVID 19 pandemic to identify pandemic related IP considerations and IP challenges. The focus is on challenges related to research, development and urgent upscaling of capacity to manufacture CC Products in the huge volumes suddenly in demand. Its purpose is to provide a structure for steering clear of IP challenges to avoid delays in fighting a pandemic. We identify 4 stakeholder groups concerned with IP challenges: (i) governments, (ii) organisations owning existing Crisis Critical IP, described as incumbents in Crisis Critical Sectors (CC Sectors) (iii) manufacturing firms from other sectors normally not producing CC Products suddenly rushing into CC Sectors to support the manufacturing of CC Products (new entrants) and (iv) voluntary grassroot initiatives that are formed during a pandemic. This paper discusses IP challenges related to the development and manufacturing of technologies and products for (i) prevention (of spread) (ii) diagnosis of infected patients and (iii) the development of treatments. We offer an initial discussion of potential response measures to reduce IP associated risks among industrial stakeholders during a pandemic.
Healthcare Worker's Knowledge, Attitude, and Practice of Proper Face Mask Utilization, and Associated Factors in Police Health Facilities of Addis Ababa, Ethiopia
Venue: Journal of multidisciplinary healthcare
Year: 2020

Face masks were considered as an effective method of preventing respiratory infections like coronavirus infection. Identifying knowledge, attitude, and practice of healthcare workers regarding face mask utilization is very important to identify gaps and intervene immediately to control the spread of the infection. Hence, the main aim of this study was to determine the health worker's knowledge, attitude, and practice of proper face mask utilization and associated factors at police health faculties in Addis Ababa, Ethiopia, 2020.  Across sectional, quantitative approach study was conducted from June to July 2020. The study covered 408 health professionals of all categories working in the different police health facilities found in Addis Ababa, Ethiopia, during the study period. Data were collected using a pre tested self administered questionnaire adopted from different studies after getting consent from the study participants. After the data were collected, it was entered and analyzed using SPSS version 23 computer software. A logistic regression model was used to measure the association between the predictor and outcome variables. Statistical significance was declared at p value<0.05. Direction and strength of association were expressed using OR and 95% CI.  The study showed that the overall knowledge, attitude, and practice of the healthcare provider towards proper face mask utilization were 98 (33.5% 185 (45.3% and 272 (33.3% respectively. Factors associated with proper utilization of face mask were educational status (AOR 10.4, 95% CI: 2.51, 43.32) police rank (AOR=0.2. CI: 0.05, 0.41) profession (AOR 7.7, 95% CI: 2.63, 22.65) and knowledge about face mask use (AOR 0.01, 95% CI: 0.003, 0.023)  In this study, the level of knowledge and attitude towards face mask utilization was relatively low, and the level of proper face mask utilization was quite low in comparison with some studies. Comprehensive training about a face mask that focuses on its proper use should be designed and given by the authorities to healthcare workers who are on the front line in the fight against COVID 19.
A novel nucleoid associated protein specific to the actinobacteria
Venue: Nucleic acids research
Year: 2013

Effective chromosome organization is central to the functioning of any cell. In bacteria, this organization is achieved through the concerted activity of multiple nucleoid associated proteins. These proteins are not, however, universally conserved, and different groups of bacteria have distinct subsets that contribute to chromosome architecture. Here, we describe the characterization of a novel actinobacterial specific protein in Streptomyces coelicolor. We show that sIHF (SCO1480) associates with the nucleoid and makes important contributions to chromosome condensation and chromosome segregation during Streptomyces sporulation. It also affects antibiotic production, suggesting an additional role in gene regulation. In vitro, sIHF binds DNA in a length dependent but sequence independent manner, without any obvious structural preferences. It does, however, impact the activity of topoisomerase, significantly altering DNA topology. The sIHF DNA co crystal structure reveals sIHF to be composed of two domains: a long N terminal helix and a C terminal helix two turns helix domain with two separate DNA interaction sites, suggesting a potential role in bridging DNA molecules.
Towards a new model to describe the organisation stakeholder relationship building process: A strategic corporate communication perspective
Year: 2014

Successful organisations depend on stakeholder perceptions to address changes in turbulent organisational environments, report on the social and environmental impact of activities, the prevalence of public activism, globalisation, emerging issues and crises, and the need to be good corporate citizens through ethical and socially responsible behaviour. Despite the current emphasis on stakeholder relations and management, a lack of research exists on how to build these relationships. This article aims to report and discuss the findings of a study that explored the lack of organisation stakeholder relationship (OSR) building models, to emphasise the elements and development of an OSR and highlight the need for a generic, strategic, integrated approach for sustainable OSR to contribute towards organisational effectiveness. This will be done using an exploratory literature review to constitute a conceptual framework for OSR building, of which the principles of the framework will be measured among leading Johannesburg Stock Exchange listed South African organisations, by means of a quantitative web based survey and qualitative one on one interviews. The dominant focus on organisational stakeholders has provided added impetus and importance to the role of corporate communication, hence, this article will simultaneously endeavour to highlight the importance of practising corporate communication strategically, by emphasising its role in OSR.
Identification of the Human Skeletal Stem Cell
Venue: Cell
Year: 2018

Stem cell regulation and hierarchical organization of human skeletal progenitors remain largely unexplored. Here, we report the isolation of a self renewing and multipotent human skeletal stem cell (hSSC) that generates progenitors of bone, cartilage, and stroma, but not fat. Self renewing and multipotent hSSCs are present in fetal and adult bones and can also be derived from BMP2 treated human adipose stroma (B HAS) and induced pluripotent stem cells (iPSCs) Gene expression analysis of individual hSSCs reveals overall similarity between hSSCs obtained from different sources and partially explains skewed differentiation toward cartilage in fetal and iPSC derived hSSCs. hSSCs undergo local expansion in response to acute skeletal injury. In addition, hSSC derived stroma can maintain human hematopoietic stem cells (hHSCs) in serum free culture conditions. Finally, we combine gene expression and epigenetic data of mouse skeletal stem cells (mSSCs) and hSSCs to identify evolutionarily conserved and divergent pathways driving SSC mediated skeletogenesis.
Plan de negocio para Hotel de Mascotas Caninas en el sector norte de Guayaquil.
Year: 2016

La industria de hoteles de perros ofrece a los duenos una alternativa para cuidar de ellos cuando estan lejos de casa o realicen viajes que les dificulte llevarlos. En la actualidad existen 2 establecimientos de Hoteles para perros en la ciudad de Guayaquil, por consiguiente, es un servicio que recien esta incursionando en el mercado y no ha sido explotado en su totalidad. Teniendo en cuenta la escasa oferta de sitios de hospedaje para perros, consideramos existe potencial para el desarrollo de una opcion dentro de este mercado especificamente en Guayaquil. Por tal motivo el Hotel Cuna de Caninos no solo ofrecera el servicio de hospedaje para perros, tambien se enfocara en la diversificacion del negocio, brindando varios servicios adicionales para su proteccion y cuidado que estaran disponibles durante todo el ano asegurando asi la satisfaccion de las necesidades existentes en el mercado. Dentro del desarrollo del plan de marketing senalamos los objetivos del mismo y el posicionamiento que buscariamos para determinar una estrategia que nos permita llegar a nuestro publico objetivo mediante acciones promocionales atractivas para ellos. Finalmente, dentro de la evaluacion financiera del proyecto establecimos el presupuesto necesario, analisis de retorno de inversion (ROI) estados financieros e impacto del negocio en el corto plazo considerando la inversion inicial requerida para su funcionamiento.
Designing business models in circular economy: A systematic literature review and research agenda
Year: 2020

The concept of circular economy is increasingly receiving attention in different domains, including strategic management, operations management, and technology management. It requires companies to design their business model (i.e. the value network, the relationships with the supply chain partners, and the value propositions towards customers) around a new concept of sustainable development that reduces consumption of natural resources and preserves the environment. However, extant research falls short in terms of explaining how companies design their business model according to the circular economy principles. Starting from this premise, the present paper provides a systematic review of the literature on the design of business models in the context of circular economy, aiming to offer an overview of the state of research and outline a promising research agenda.
Measurement of high temperature emissivity and photothermal conversion efficiency of TiAlC/TiAlCN/TiAlSiCN/TiAlSiCO/TiAlSiO spectrally selective coating
Year: 2017

A spectrally selective TiAlC/TiAlCN/TiAlSiCN/TiAlSiCO/TiAlSiO coating was deposited on stainless steel substrate by unbalanced magnetron sputtering system. Each individual layer of the tandem absorber was optimized by varying the reactive gas flow rates (C 2 H 2 N 2 and O 2 and target power densities (Ti, Al and Si) The optimized tandem absorber shows a solar absorptance of 0.960 and an emittance of 0.15 at 82 degC, measured using solar spectrum reflectometer and emissometer, respectively. In order to study the optical properties of the deposited tandem absorber at high operating temperatures the reflectance spectra of the tandem absorber were measured at temperatures ranging from 80 degC to 500 degC by UV Vis NIR spectrophotometer and FTIR spectrometers. The reflectance spectra of the as deposited sample and after high temperature reflectance measurements did not show any significant changes. The thermal emittance of the tandem absorber at high temperatures (80 500 degC) was studied in detail. At the temperature of 200 degC, 300 degC, 400 degC and 500 degC the tandem absorber shows the emittance of 0.152 0.157, 0.181 0.19, 0.214 0.246 and 0.251 0.275, respectively with an absorptance of ~0.930. These results show the good selectivity of the tandem absorber even at high operating temperatures (e.g. 500 degC) with a photothermal conversion efficiency of 88% thus demonstrating that the tandem absorber is suitable for solar thermal power generation applications. Reflectance and roughness data of the absorber coating post annealing in air up to 600 degC for 2 h, carried out independently, corroborated the present results.