Author Entity Research Articles

Lung cancer disease detection using service-oriented architectures and multivariate boosting classifier

Big data analytics in healthcare is emerging as a promising field to extract valuable information from large databases and enhance results with fewer costs. Although numerous methods have been proposed for big data analytics in the medical field, an authorized entity is required to access data, inhibiting diagnosis accuracy and efficiency. Particularly, the detection of lung cancer is critical as it is the third most common type of cancer occurring in both males and females in the US and a leading cause of cancer-related deaths worldwide, the detection of lung cancer. Therefore, this study introduces the Multivariate Ruzicka Regressed eXtreme Gradient Boosting Data Classification (MRRXGBDC) technique and service-oriented architecture (SOA) to improve the prediction accuracy and reduce the prediction time of lung cancer in big data analytics. Service-oriented architectures (SOAs) provide a set of healthcare services, where patient data are stored in the database of a physician or other certified entity. After receiving the patient data as input, several multivariate Ruzicka logistic regression trees are constructed by the physician to calculate the relationship between the dependent and independent variables. With this regression analysis, the presence or absence of disease is discovered. The experimental results reveal that the MRRXGBDC technique performs better with 10% improvement in prediction accuracy, 50% reduction of false positives, and 11% faster prediction time for lung cancer detection compared to existing works.

The Security of a Blockchain-Based File System in a Software Defined Network Framework

Developing distributed form of file security systems using Blockchain technology. Based on the idea of cloud storage as it is a leading storage technology for huge data storage. Blockchain is one of the trending technology for decentralized data storage systems that ensures privacy, confidentiality, data security, authentication, and integrity. As SDN network provides support to have various nodes in the network for the secure transaction of data from source to destination. Blockchain helps in keeping track of block data by constructing the gateway to make it immutable. BCFS refers to Blockchain-Based File System Security in SDN. In the designed system, a Web-Based Interface is developed an authorized entity can upload file data the user’s file is projected to encryption process and the block data is shared among the various nodes in the network. Along with Unique Document ID, encrypted random key, and hash data. This hash data value holds the file path and preserves in the blockchain into their corresponding block data folders. Detection of node failure across the network an automatic short path is chosen by the network and detection of an attack based on entropy value.

Disambiguation of author entities in ADS using supervised learning and graph theory methods

Disambiguation of authors in digital libraries is essential for many tasks, including efficient bibliographical searches and scientometric analyses to the level of individuals. The question of how to link documents written by the same person has been given much attention by academic publishers and information retrieval researchers alike. Usual approaches rely on publications’ metadata such as affiliations, email addresses, co-authors, or scholarly topics. Lack of homogeneity in the structure of bibliographic collections and discipline-specific dissimilarities between them make the creation of general-purpose disambiguators arduous. We present an algorithm to disambiguate authorships in the Astrophysics Data System (ADS) following an established semi-supervised approach of training a classifier on authorship pairs and clustering the resulting graphs. Due to the lack of high-signal features such as email addresses and citations, we engineer additional content- and location-based features via text embeddings and named-entity recognition. We train various nonlinear tree-based classifiers and detect communities from the resulting weighted graphs through label propagation, a fast yet efficient algorithm that requires no tuning. The resulting procedure reaches reasonable complexity and offers possibilities for interpretation. We apply our method to the creation of author entities in a recent ADS snapshot. The algorithm is evaluated on 39 manually-labeled author blocks comprising 9545 authorships from 562 author profiles. Our best approach utilizes the Random Forest classifier and yields a micro- and macro-averaged BCubed mathrm {F}_1 score of 0.95 and 0.87, respectively. We release our code and labeled data publicly to foster the development of further disambiguation procedures for ADS.

Examining drug and side effect relation using author–entity pair bipartite networks

Abstract The current study has two objectives. First, we explore the characteristics of biological entities, such as drugs, and their side effects using an author–entity pair bipartite network. Second, we use the constructed network to examine whether there are outstanding features of relations between drugs and side effects. We extracted drug and side effect names from 169,766 PubMed abstracts published between 2010 to 2014 and constructed author–entity pair bipartite networks after ambiguous author names were processed. We propose a new ranking algorithm that takes into consideration the characteristics of bipartite networks to identify top-ranked biological drug and side effect pairs. To investigate the relationship between a particular drug and a side effect, we compared the drug and side effect pairs obtained from the network containing both drug and side effect with those observed in SIDER, a human expert-curated database. The results of this study indicate that our approach was able to identify a wide range of patterns of drug–side effect relations from the perspective of authors’ research interests. Further, our approach also identified the unique characteristics of the relation of biomedical entities obtained using an author–entity pair bipartite network.

Authorization Entities (Legal Guarantee Review)

The guarantee agreement for guarantee rights is flexible to be implemented, it does not have to be carried out alone by the party that guarantees it. If represented, it is made in the form of SKMHT that must be made in a notarial deed or PPAT deed. If it follows the provisions in Article 15 of the UUHT, credit is a daily necessity for the community both in the context of meeting consumption needs and in terms of doing business in various business fields, compared also with bank credit contracts as stated by Kevin Kogin. Today's business transactions move quickly and increasingly involve all elements of society as a business. The ultimate purpose of the prohibition of the Power of Attorney Imposing Mortgage Rights (SKMHT) as a special power of attorney is to provide legal protection to creditors. SKMHT is a special power of attorney that can only be controlled by the direct power of attorney because it is only related to the power of making APHT with a creditor in the presence of PPAT. If the power of attorney is substituted, it will make creditors difficult if there is a dispute to conduct legal relations because there are too many parties to be able to connect directly with the debtor. In addition, if it is substituted, the creditor will lose his rights and position as the preferred creditor to the receivables that have been given to the debtor.

Integrating Collector and Author Roles Across Specimen and Publication Datasets

This work builds on the outputs of a collector data-mining exercise applied to GBIF mobilised herbarium specimen metadata, which uses unsupervised learning (clustering) to identify collectors from minimal metadata associated with field collected specimens (the DarwinCore terms recordedBy, eventDate and recordNumber). Here, we outline methods to integrate these data-mined collector entities (large scale dataset, aggregated from multiple sources, created programatically) with a dataset of author entities from the International Plant Names Index (smaller scale, single source dataset, created via editorial management). The integration process asserts a generic "scientist" entity with activities in different stages of the species description process: collecting and name publication. We present techniques to investigate specialisations including content - taxa of study - and activity stages: examining if individuals focus on collecting and/or name publication. Finally, we discuss generalisations of this initially herbarium-focussed data mining and record linkage process to enable applications in a wider context, particularly in zoological datasets.

Eminent Domain a Decade After Kelo

This Comment addresses the controversial Kelo v. City of New London decision and focuses on the state of Texas’ response to Kelo through its enactment of section 2206.001 of the Texas Government Code. This Comment discusses the implications of this statute in the realm of professional and college sports stadiums in Texas. Additionally, this Comment provides a background in the evolution of the eminent domain doctrine and prominent Supreme Court decisions expanding an authorized entity’s eminent domain power under a broadened definition of the entity providing a “public use.” The arguments are analyzed for whether Texas college and professional stadiums provide a public use, concluding that land takings from private landowners for the purpose of building sports stadiums constitutes a permissible public use under the Kelo standard. Land takings to build a sports stadium likely constitute a public use because it provides access to public participation, national prominence, revenue, tax benefits, and hurricane shelter for its citizens. Finally, this Comment proposes legislative amendment to section 2206.001(c) of the Texas Government Code that would raise the threshold for landowner’s compensation from 100% of the fair market value to 150%—250% of the fair market value of the property. A higher compensation would reimburse the landowner for the equity value of the property and would help prevent potential holdouts.

1188 INSURANCE RESTRICTIONS ON POLYSOMNOGRAPHY: COMPARISON WITH AASM GUIDELINES AND ECONOMIC IMPLICATIONS

Many insurers in the United States have restricted coverage for laboratory polysomnography in favor of at-home pathways. Although cost-savings are an assumed benefit of this paradigm shift, economic models that consider chronic time horizons and other important features do not support this assumption. Furthermore, third-party prior authorization entities utilize medical necessity requirements that may not align with American Academy of Sleep Medicine practice standards. We reviewed published regulations regarding polysomnography (diagnostic and titration procedures), and manually curated the documents to compare indications and exclusions for at-home diagnostic kits and at-home auto-titrations with clinical practice standards of the Academy. We performed economic modeling in TreeAge that combines factors typically considered in isolation: obstructive sleep apnea, complex apnea, periodic limb movements of sleep, and co-morbid insomnia. None of the reviewed insurance regulations matched all components of the published standards of the Academy, although most advertised their content as evidence-based. For at-home diagnostic kits, the most common points of divergence between Academy standards and insurer regulations involved the requirement of high pre-test probability of at least moderate obstructive sleep apnea, the exclusion of home testing if co-morbid insomnia is present, and the suspicion of periodic limb movements of sleep requiring in-lab evaluation. Some insurance regulations included impossible-to-meet criteria to authorize in-lab testing (e.g., approving an in-lab test for central apnea or periodic limb movements only if they were already objectively documented, which would have required in-lab testing). We present an economic analysis that incorporates uncertainty regarding the presence of exclusions such as central apnea or periodic limb movements, and the impact of co-morbid insomnia, using a range of prevalence to capture both published epidemiology studies and include the higher prevalence that may occur in academic referral centers. Divergence between insurance regulations and Academy standards are common among private payers. Failure to account for the limitations of at-home pathways is predicted to negatively impact patient care in terms of quality of life and resource utilization. Balancing the perspectives of payers, patients, and providers is necessary to preserve optimal patient care. American Sleep Medicine Foundation

Authentication and Authorization for the Internet of Things

Authentication and authorization are essential parts of basic security processes and are sorely needed in the Internet of Things (IoT). The emergence of edge and fog computing creates new opportunities for security and trust management in the IoT. In this article, the authors discuss existing solutions to establish and manage trust in networked systems and argue that these solutions face daunting challenges when scaled to the IoT. They give a vision of efficient and scalable trust management for the IoT based on locally centralized, globally distributed trust management using an open source infrastructure with local authentication and authorization entities to be deployed on edge devices.

Granta: “definindo os contornos do cenário literário”

http://dx.doi.org/10.5007/1984-784X.2016v16n26p115No ano de 2012, na Inglaterra, veio a público o volume 121 do periódico literário inglês Granta: The best of young Brazilian novelists. Essa publicação se deu a partir da tradução de Os me­lhores jovens escritores brasileiros, obra que havia sido publicada meses antes no Brasil como resultado do Projeto Granta em Português. Os títulos dessa coleção, lançados a cada dez anos, operam como meio de introduzir ao público leitor autores contemporâneos que apresentam uma promissora carreira literária. A fim de investigar o papel potencialmente definidor de periódicos literários desse tipo, o presente artigo analisa material integrante dos dois volumes, tanto texto quanto paratexto, com fun­damentação teórica de autores como Even-Zohar, que aborda as restrições e coerções exercidas na transferência de bens culturais dentro do sistema literário; Bourdieu, que trata do poder inerente ao uso da linguagem; e Foucault que discute as características e o papel desempenhado pela entidade autor.

Digital Witness: Safeguarding Digital Evidence by Using Secure Architectures in Personal Devices

Personal devices contain electronic evidence associated with the behavior of their owners and other devices in their environment, which can help clarify the facts of a cyber-crime scene. These devices are usually analyzed as containers of proof. However, it is possible to harness the boom of personal devices to define the concept of digital witnesses, where personal devices are able to actively acquire, store, and transmit digital evidence to an authorized entity reliably and securely. This article introduces this novel concept, providing a preliminary analysis on the management of digital evidence and the technologies that can be used to implement it with security guarantees in IoT environments. Moreover, the basic building blocks of a digital witness are defined.

Pharmacist Prescriptive Authority for Epinephrine Auto-Injectors in Idaho

Objective: To describe recent legislation in Idaho that granted pharmacists autonomous prescriptive authority for epinephrine auto-injectors.
 Practice Innovation: States have taken action to increase access to epinephrine auto-injectors by allowing them to be stocked and prepositioned at locations where individuals may encounter allergens. All 50 states have allowed schools to maintain stock supplies of epinephrine auto-injectors and 26 states have allowed other entities, such as summer camps, daycare centers, gymnasiums, and restaurants to begin stocking product as well. In 2016, legislation in Idaho pursued entity stocking while simultaneously granting pharmacists autonomous prescriptive authority for epinephrine auto-injectors.
 Results: Idaho legislation granted prescriptive authority for pharmacists for epinephrine auto-injectors not just for individual patients, but also for authorized entities. No collaborative practice agreement is necessary. To receive an epinephrine auto-injector, an agent or employee of an authorized entity must present proof that they have completed an appropriate training program. Pharmacists are provided liability protections when prescribing in good faith to an authorized entity.
 Conclusion: Idaho’s legislation provides a potential model for pharmacist prescriptive authority for epinephrine auto-injectors that other states may consider pursuing in the years ahead.
 
 Type: Commentary

대표 속성을 이용한 저자 개체 식별

급격하게 성장하고 있는 오픈 리소스인 링크드 데이터는 최근 선진국 정부의 많은 관심 속에 데이터 공개 및 상호운용성 확보를 위한 방안으로 주목받고 있다. 그러나 신뢰할 수 있는 개체 식별 기술의 부재로 링크드 데이터의 양적 성장에 비해 개체 수 대비 링크의 수가 적은 현상과 일부 데이터 셋에 링크가 집중되는 현상을 보이고 있다. 본 연구에서는 이러한 링크드 데이터의 문제를 해결하기 위해 개체 간 관계(owl:sameAs, owl differentFrom 등)를 이용하거나 Curation 방식을 사용하는 기존 링크드 데이터 기반 개체 식별 방식의 문제를 다중 온톨로지의 개체 식별이 가능한 자동화된 개체 식별 방식을 통해 개선하고 저자 개체의 대응 속성과 개체 유형의 논리적 특성을 활용하여 개체 식별 정합성을 검증할 수 있는 다중 온톨로지 기반의 실시간 저자 식별 방법을 제안하고 평가한다. 본인의 확인을 거친 29명의 저자 정보를 이용해 개체 식별 정확성 결과를 평가하여 평균 0.8533 (K measure)의 긍정적인 성능을 보였다. In recent years, Linked Data that is published under an open license shows increased growth rate and comes into the spotlight due to its interoperability and openness especially in government of developed countries. However there are relatively few out-links compared with its entire number of links and most of links refer a few hub dataset. These occur because of absence of technology that identifies entities in Linked data. In this paper, we present an improved author entity resolution method that using representative properties. To solve problems of previous methods that utilizes relation with other entities(owl:sameAs, owl:differentFrom and so on) or depends on Curation, we design and evaluate an automated realtime resolution process based on multi-ontologies that respects entity's type and its logical characteristics so as to verify entities consistency. The evaluation of author entity resolution shows positive results (The average of K measuring result is 0.8533.) with 29 author information that has obtained confirmation.

CRBAC: Imposing multi-grained constraints on the RBAC model in the multi-application environment

Interactions between resources as well as services are one of the fundamental characteristics in the distributed multi-application environments. In such environments, attribute-based access control (ABAC) mechanisms are gaining in popularity while the role-based access control (RBAC) mechanism is widely accepted as a general mechanism for authorization management. This paper proposes a new access control model, CRBAC, which aims to combine the advantages of RBAC and ABAC, and integrates all kinds of constraints into the RBAC model. Unlike other work in this area, which only incorporates one or a few particular attribute constraints into RBAC, this paper analyses and abstracts the generic properties of the attribute constraints imposed on authorization systems. Based on these analyses and generalization, two constraints templates are presented, called authorization mapping constraint template and behaviour constraint template. The former template is able to automate the user-role and role-permission mapping, while the latter is used to restrict the behaviours of the authorization entities. The attribute constraints are classified into these two templates. Moreover, the state mechanism is introduced to build up the constraints among the statuses of the entities, and reflect the outcomes of the authorization control as well. Based on the presented templates and the state mechanism, the execution model is developed. A use case is proposed to show the authorization process of our proposed model. The extensive analyses are conducted to show its multi-grained constraints by comparing with other models.

A metadata‐based access control model for web services

PurposeProvide a secure solution for web services (WS). A new interoperable and distributed access control for WS is presented.Design/methodology/approachBased on the separation of the access control (AC) and authorization function.FindingsMechanisms presented allow seamless integration of external authorization entities in the AC system. The Semantic Policy Language (SPL) developed facilitates specification of policies and semantic policy validation. SPL specifications are modular and can be composed without ambiguity. Also addressed was the problem of the association of policies to resources (WS or their operations) in a dynamic, flexible and automated way.Research limitations/implicationsThe ACProxy component is currently under development. Ongoing work is focused on achieving a richer “use control” for some types of WS.Practical implicationsAdministrators of WS can specify AC policies and validate them to find syntactic and semantic errors. Components for automated validation of policies at different levels are included. This ensures that the AC policies produce the desired effects, facilitating the creation and maintenance of policies. It also provides mechanisms for the use of interoperable authorizations.Originality/valueA practical system that provides a secure solution to AC for WS. To the best of one's knowledge, no other system provides mechanisms for semantic validation of policies based on external authorization entities. Likewise, the mechanisms for interoperability of external authorization entities are also novel. The system provides content‐based access control and a secure, decentralized and dynamic solution for authorization that facilitates the management of complex systems and enhances the overall security of the AC.