bluuebunny/crossref_metadata_2025 huggingface dataset:
Software de registro para experimentos bidimensionales realizados en una mesa de suspensión de aire
Authors: Gutiérrez Hernández Nestor Fabián , Riaños Jiménez Jeisson , Martínez Santa Fernando
Published: June 2020

El presente trabajo tiene como objetivo documentar la sustitución del costoso papel metálico utilizado por la mesa con el cojín de aire Leybold Didactic GMBH – donde se registra el movimiento y las colisiones de dos partículas en una superficie bidimensional. Tales experimentos emplean dos cilindros que se mueven sobre la mesa con una fricción mínima debido al cojín de aire producido por ellos mismos, lo que les permite moverse casi sin fricción sobre la superficie del vidrio. La investigación descrita condujo al diseño de un software de procesamiento de imágenes en el que se desarrolla un algoritmo para adquirir, procesar y registrar la trayectoria de dos cilindros que se mueven sobre la mesa con un mínimo de fricción. Para llevar a cabo esto se realiza un estudio de los experimentos hechos sobre la mesa y mostrados en el papel metalizado de registro. Basándose en los resultados, esta herramienta digital está diseñada para reemplazar el papel y permite a la comunidad académica utilizar esta tabla de manera sostenible y sin depender de insumos costosos. Adicionalmente, se analizó el error obtenido debido al paso de imágenes a través del algoritmo, resultando sólo un 3% del error total con respecto al obtenido usando el papel real.
Estado de conocimiento en instrumentación de nivel: principios de medición
Authors: Escobar Díaz Andrés , Rodríguez Figueroa Nubia Marcela , Hurtado Beltrán Alejandro
Published: June 2020

En este artículo se realiza una revisión de los principios de medición de nivel de líquidos y sólidos que pueden llegarse a encontrar en el ámbito industrial. En primer lugar, se realiza una clasificación de las fuentes consultadas, dando a conocer el área de investigación a la que pertenece cada una. Seguidamente se muestran las definiciones clave en la instrumentación de nivel: sistema de medición, instrumento indicador, sensor y transmisor inteligente. Luego se da a conocer en qué consiste la medición de nivel de punto y la medición de nivel continua dos formas de medición de niveles bien diferenciadas, las cuales rigen el funcionamiento de un medidor. Posteriormente se describe el principio de medición de cada uno de los medidores de nivel, dando a conocer: partes básicas, el principio de funcionamiento, y en algunos casos el modelo físico-matemático que representa el comportamiento del medidor. Finalmente, se muestran las conclusiones del trabajo, exponiendo críticamente la revisión obtenida de modo que sirva como método orientador para ampliar la investigación realizada a medida que aparezcan nuevos desarrollos o innovaciones en la materia
Sports organizations and quality self-diagnostic tool
Authors: Bautista-Cano Rafael , Flórez-Moreno Carlos Alberto
Published: June 2020

The competitive map in sports organizations are few studies conducted. This paper attempts to clarify, through the implementation of a technological tool of self structured based on universal principles of quality management introduced in ISO 9000: 2000, the competitiveness of this type of sports institutions, modeled on those who have specialized in futsal facilities synthetic pitches, which are not only sports boom, but social cultural dynamics of the current Bogota society. Thus, with reference to the product futsal, the proposal to observe economic competitiveness in the areas of strategic planning, production and operations, accounting and finance, quality assurance, environmental management, marketing, human resource starts and systems information, synthetic sports facilities that exist in the city and what are the contributions that these likewise have are to improve productivity and be at the forefront of sports organizations sector.
Design of a magnetic encoder using Hall effect
Authors: López-Contreras William Alejandro , Rairán-Antolines José Danilo
Published: June 2020

We present the design of a magnetic encoder to measure angular position. The proposed encoder includes two Hall sensors in quadrature in a fixed platform. In addition, and over the sensors, there are two permanent magnets in a shaft. The relative motion between the fixed and the movable components generate a voltage variation in the sensors, which serve to generate the approximation of the angular position. We detail the acquisition process and the linearization method, because we consider that these are the most important contributions of this work. Lastly, we show the application of the encoder in the position control of a direct current motor to show the performance of the encoder estimating fast and slow angular position changes.
Distribution system with wind penetration
Authors: Eguis-Eslava Ernesto Jair , Padilla-García Kelly Marcela , López-Díaz Luis Alberto , Soto-Ortiz José Daniel , Castillo-Sierra Rafael , Pardo-González Mauricio , Orozco-Henao Cesar Augusto , Jiménez-Matos Elvin Arnaldo , Oliveros-Pantoja Ingrid
Published: June 2020

This article presents the results of the analysis of the studies of the operation of a modified IEEE-13 distribution feeder, which was built to scale in the laboratory at Universidad del Norte. In this article, we show the cases of the operating regimes of the modified IEEE-13, before the different levels of wind energy penetration. The modified IEEE-13 distribution feeder was built taking into account that each of the scaled modules and their generator-load will work under the conditions of the Universidad del Norte laboratory. An experimental methodology was used to compare the results obtained in the actual scaled model with the results of the simulations in specialized programs. The conclusions of the article show the wind energy that can be injected into an electrical system with conventional power generation so that it can maintain its operation complying with the current regulatory framework.
ANALISIS UJI TIDAK MERUSAK PADA SAMBUNGAN LAS LAMBUNG FRAME 103 BAGIAN KAMAR MESIN KAPAL PATROLI 73 DENGAN METODE RADIOGRAPHY TEST
Authors: Sulaiman Sulaiman , Utomo Budi , Ardi Wijana I Putu Agung
Published: June 2020

Non-Destructive Test is a supporting tool that is highly relied upon by the activities of controlling and ensuring the quality of a welding. Radiography test is one of the non-destructive tests that uses gamma rays that can penetrate almost all metals so that it can be used to reveal defects or discrepancies behind metal walls or within the material itself. The purpose of this paper is to know, plan a non-destructive testing activity with radiography test which includes the understanding along with the equipment needed during the testing process, what devices contribute to the testing process, as well as knowing the advantages and disadvantages of the test radiography. The method used in This writing is by experiment with welding connection frame 103 Patrol Ship 73 engine rooms. Radiography Test results found no welding defects on the inside of the welding as deep as a plate thickness, so that otherwise passed the checking received by BKI. Good preparation and consideration are needed before conducting this test.
PERSEPSI CITRA TUBUH, KECENDERUNGAN GANGGUAN MAKAN DAN STATUS GIZI PADA REMAJA PUTRI DI KOTA JAMBI
Authors: Merita Merita , Hamzah Nurainun , Djayusmantoko Djayusmantoko
Published: June 2020

Latar belakang: Masalah gizi yang paling sering terjadi pada remaja adalah gizi kurus dan gemuk yang disebabkan oleh persepsi body image dan kecenderungan gangguan makanTujuan: Tujuan penelitian ini untuk mengetahui hubungan persepsi citra tubuh dan kecenderungan gangguan makan dengan status gizi pada remaja putri di SMA Kota Jambi Tahun 2019.Metode: Penelitian ini menggunakan desain cross sectional study yang dilaksanakan di 10 SMA Kota Jambi pada bulan Maret - Mei Tahun 2019. Sampel yang digunakan sebanyak 384 remaja putri dengan tehnik cluster random sampling. Pengumpulan data mengunakan alat bantu yaitu Kuesioner BSQ-16 untuk persepsi citra tubuh, Eat-26 untuk kecenderungan gangguan makan, timbangan berat badan dan microtoice untuk pengukuran status gizi indikator IMT/U. Analisis dilakukan dengan analisis univariat dan analisis bivariat (spearman correlation test)Hasil: Hasil penelitian menunjukan bahwa sebagian besar responden memiliki status gizi normal (83,1%), body image positif (64,6%), dan sebanyak (82,8%) remaja putri tidak memiliki gejala gangguan makan. Analisis korelasi menunjukkan ada hubungan persepsi citra tubuh dengan status gizi indikator IMT/U (p=0,000; r=0,443), namun tidak ada hubungan kecenderungan ganguan makan dengan status gizi indikator IMT/U (p-value 0,657).Simpulan: Dapat disimpulkan sebagian besar remaja putri memiliki body image positif dan tidak memiliki kecenderungan gangguan makan serta status gizi tergolong normal. Oleh karena itu remaja putri harus percaya diri pada kondisi tubuh sekarang agar tidak berujung gangguan makan dan menyebabkan masalah gizi
PENGARUH SUPLEMENTASI ZAT BESI TERHADAP FUNGSI KOGNITIF LANSIA
Authors: Endrinikapoulos Ariana , Candra Aryu , Wijayanti Hartanti Sandi , Noer Etika Ratna
Published: June 2020

Latar belakang: Penurunan fungsi sel otak pada lansia berdampak pada terjadinya penurunan daya berpikir dan kehidupan psikis, sosial, dan aktivitas fisik. Kebutuhan zat besi yang tercukupi memiliki dampak positif pada fungsi kognitif lansia.Tujuan:Tujuan dari penelitian ini adalah untuk menganalisis pengaruh suplementasi zat besi terhadap fungsi kognitif lansia.Metode: Metode penelitian ini adalah quasi experimental dengan rancangan pre-post control group design. Subjek penelitian adalah 26 lansia usia 60-77 tahun yang dibagi menjadi 2 kelompok perlakuan dan kelompok kontrol. Suplemen zat besi berupa NaFe EDTA diberikan pada kelompok perlakuan sebanyak 1 tablet (15 mg) selama 10 minggu, sedangkan kelompok kontrol diberikan plasebo. Penilaian fungsi kognitif dilakukan menggunakan instrumen kuesioner Mini-Mental State Examination (MMSE) yang dilakukan pada sebelum dan sesudah intervensi. Asupan makan subjek selama intervensi diperoleh dengan metode 24 jam food recall 1x/minggu selama intervensi. Pengukuran kadar hemoglobin dilakukan menggunakan alat Hb-meter. Penilaian aktivitas fisik dilakukan menggunakan kuesioner Physical Activity Scale for Elderly (PASE). Penilaian kualitas tidur dilakukan menggunakan kuesioner Pittsburgh Sleep Quality Index (PSQI). Analisis statistik menggunakan uji Wilcoxon, independent sample t-test, dan Mann Whitney.Hasil: Fungsi kognitif 1 (4%) orang subjek sebelum intervensi tergolong tidak normal. Sebanyak 7 (27%) subjek memiliki kadar hemoglobin normal sebelum intervensi. Terdapat peningkatan skor MMSE pada kelompok perlakuan (p<0,05) dan kelompok kontrol (p<0,05) setelah dilakukan intervensi. Uji bivariat menunjukkan tidak terdapat perbedaan peningkatan skor MMSE yang bermakna (p=0,88) antara kelompok perlakuan dan kontrol, namun rerata skor MMSE kelompok perlakuan lebih tinggi.Simpulan: Suplementasi zat besi selama 10 minggu mampu meningkatkan skor MMSE namun tidak ada beda secara statistik antara kelompok intervensi dan kelompok kontrol.
Generic schema matching, ten years later
Authors: Bernstein Philip A. , Madhavan Jayant , Rahm Erhard
Published: June 2020

In a paper published in the 2001 VLDB Conference, we proposed treating generic schema matching as an independent problem. We developed a taxonomy of existing techniques, a new schema matching algorithm, and an approach to comparative evaluation. Since then, the field has grown into a major research topic. We briefly summarize the new techniques that have been developed and applications of the techniques in the commercial world. We conclude by discussing future trends and recommendations for further work.
Serializable snapshot isolation for replicated databases in high-update scenarios
Authors: Jung Hyungsoo , Han Hyuck , Fekete Alan , Röhm Uwe
Published: June 2020

Many proposals for managing replicated data use sites running the Snapshot Isolation (SI) concurrency control mechanism, and provide 1-copy SI or something similar, as the global isolation level. This allows good scalability, since only
ww
-conflicts need to be managed globally. However, 1-copy SI can lead to data corruption and violation of integrity constraints [5]. 1-copy serializability is the global correctness condition that prevents data corruption. We propose a new algorithm
Replicated Serializable Snapshot Isolation
(RSSI) that uses SI at each site, and combines this with a certification algorithm to guarantee 1-copy serializable global execution. Management of
ww
-conflicts is similar to what is done in 1-copy SI. But unlike previous designs for 1-copy serializable systems, we do not need to prevent all
rw
-conflicts among concurrent transactions. We formalize this in a theorem that shows that many
rw
-conflicts are indeed false positives that do not risk non-serializable behavior. Our proposed RSSI algorithm will only abort a transaction when it detects a well-defined pattern of two consecutive
rw
-edges in the serialization graph. We have built a prototype that integrates our RSSI with the existing open-source Postgres-R(SI) system. Our performance evaluation shows that there is a worst-case overhead of about 15% for getting full 1-copy serializability as compared to 1-copy SI in a cluster of 8 nodes, with our proposed RSSI clearly outperforming the previous work [6] for update-intensive workloads.
Business policy modeling and enforcement in databases
Authors: Ataullah Ahmed A. , Tompa Frank Wm.
Published: June 2020

Database systems are the central information repositories for businesses and are subject to a wide array of policies, rules and requirements. The spectrum of business level constraints implemented within database systems has expanded from classical access control to include auditing, usage control, privacy management, and records retention. The lack of a systematic mechanism of integrating and reasoning about such a diverse set of policies manifested as database level constraints makes corporate policy management a chaotic process.

In this paper we propose a general purpose policy modeling and constraint management framework that can integrate numerous aspects of business level requirements within database systems. Our proposed solution relies on a finite state modeling language for business level policies, in which users can declaratively express rules related to the normal workflow of a business process as well as specifying any undesirable states of business objects contained in a database system. The proposed system is then able to translate these policies into low level temporal integrity constraints that prevent policy violations and ensure that business objects and artifacts follow their mandated lifecycles. A formal layer for reasoning allows policy makers to discover unenforceable and conflicting policies, providing the basis to guarantee compliance for a wide array of rules that may need to be enforced on complex business objects stored in relational database systems.
Online data fusion
Authors: Liu Xuan , Dong Xin Luna , Ooi Beng Chin , Srivastava Divesh
Published: June 2020

The Web contains a significant volume of structured data in various domains, but a lot of data are dirty and erroneous, and they can be propagated through copying. While data integration techniques allow querying structured data on the Web, they take the union of the answers retrieved from different sources and can thus return conflicting information. Data fusion techniques, on the other hand, aim to find the true values, but are designed for offline data aggregation and can take a long time.

This paper proposes Solaris, the first
online
data fusion system. It starts with returning answers from the first probed source, and refreshes the answers as it probes more sources and applies fusion techniques on the retrieved data. For each returned answer, it shows the likelihood that the answer is correct, and stops retrieving data for it after gaining enough confidence that data from the unprocessed sources are unlikely to change the answer. We address key problems in building such a system and show empirically that the system can start returning correct answers quickly and terminate fast without sacrificing the quality of the answers.
Optimistic concurrency control by melding trees
Authors: Bernstein Philip A. , Reid Colin W. , Wu Ming , Yuan Xinhao
Published: June 2020

This paper describes a new optimistic concurrency control algorithm for tree-structured data called meld. Each transaction executes on a snapshot of a multiversion database and logs a record with its intended updates. Meld processes log records in log order on a cached partial-copy of the last committed state to determine whether each transaction commits. If so, it merges the transaction's updates into that state. Meld is used in the Hyder transaction system and enables Hyder to scale out without partitioning. Since meld is on the critical path of transaction execution, it must be very fast. The paper describes the meld algorithm in detail and reports on an evaluation of an implementation. It can perform over 400K update transactions per second for transactions with two operations, and 130K for transactions with eight operations.
OXPath
Authors: Furche Tim , Gottlob Georg , Grasso Giovanni , Schallhart Christian , Sellers Andrew
Published: June 2020

The evolution of the web has outpaced itself: The growing wealth of information and the increasing sophistication of interfaces necessitate automated processing. Web automation and extraction technologies have been overwhelmed by this very growth.

To address this trend, we identify four key requirements of web extraction: (1) Interact with sophisticated web application interfaces, (2) Precisely capture the relevant data for most web extraction tasks, (3) Scale with the number of visited pages, and (4) Readily embed into existing web technologies.

We introduce OXPath, an extension of XPath for interacting with web applications and for extracting information thus revealed. It addresses all the above requirements. OXPath's page-at-a-time evaluation guarantees memory use independent of the number of visited pages, yet remains polynomial in time. We validate experimentally the theoretical complexity and demonstrate that its evaluation is dominated by the page rendering of the underlying browser.

Our experiments show that OXPath outperforms existing commercial and academic data extraction tools by a wide margin. OX-Path is available under an open source license.
Randomized generalization for aggregate suppression over hidden web databases
Authors: Jin Xin , Zhang Nan , Mone Aditya , Das Gautam
Published: June 2020

Many web databases are hidden behind restrictive form-like interfaces which allow users to execute search queries over the underlying hidden database. While it is important to support such search queries, many hidden database owners also want to maintain a certain level of privacy for aggregate information over their databases, for reasons including business secrets and homeland security. Existing work on aggregate suppression thwarts the uniform random sampling of a hidden database, but cannot address recently proposed attacks which accurately estimate SUM and COUNT queries without the need to first draw a uniform random sample. In this paper, we consider the problem of suppressing SUM and COUNT queries over a hidden database. In particular, we develop randomized generalization, a novel technique which provides rigid aggregate-suppression guarantee while maintaining the utility of individual search queries. We present theoretical analysis and extensive experiments to illustrate the effectiveness of our approach.
Stratification criteria and rewriting techniques for checking chase termination
Authors: Greco Sergio , Spezzano Francesca , Trubitsyna Irina
Published: June 2020

The Chase is a fixpoint algorithm enforcing satisfaction of data dependencies in databases. Its execution involves the insertion of tuples with possible null values and the changing of null values which can be made equal to constants or other null values. Since the chase fixpoint evaluation could be non-terminating, in recent years the problem know as chase termination has been investigated. It consists in the detection of sufficient conditions, derived from the structural analysis of dependencies, guaranteeing that the chase fix-point terminates independently from the database instance. Several criteria introducing sufficient conditions for chase termination have been recently proposed [9, 8, 13, 12].

The aim of this paper is to present more general criteria and techniques for chase termination. We first present extensions of the well-known stratification conditions and introduce a new criterion, called local stratification (
LS
), which generalizes both super-weak acyclicity and stratification-based criteria (including the class of constraints which are inductively restricted). Next the paper presents a rewriting algorithm, whose structure is similar to the one presented in [10]; the algorithm takes as input a set of tuple generating dependencies and produces as output an equivalent set of dependencies and a boolean value stating whether a sort of cyclicity has been detected. The output set, obtained by adorning the input set of constraints, allows us to perform a more accurate analysis of the structural properties of constraints and to further enlarge the class of tuple generating dependencies for which chase termination is guaranteed, whereas the checking of acyclicity allows us to introduce the class of acyclic constraints (
AC
), which generalizes
LS
and guarantees chase termination.
Auto-grouping emails for faster e-discovery
Authors: Joshi Sachindra , Contractor Danish , Ng Kenney , Deshpande Prasad M , Hampp Thomas
Published: June 2020

In this paper, we examine the application of various grouping techniques to help improve the efficiency and reduce the costs involved in an electronic discovery process. Specifically, we create coherent groups of email documents which characterize either a syntactic theme, a semantic theme or an email thread. All such grouped documents can be reviewed together leading to a faster and more consistent review of documents. Syntactic grouping of emails is based on near duplicate detection whereas semantic grouping is based on identifying concepts in the email content using information extraction. Email thread detection is achieved using a combination of segmentation and near duplicate detection. We present experimental results on the Enron corpus that suggest that these approaches can significantly reduce the review time and show that high precision and recall in identifying the groups can be achieved. We also describe how these techniques are integrated into the IBM eDiscovery Analyzer product offering.
RAMP
Authors: Park Hyunjung , Ikeda Robert , Widom Jennifer
Published: June 2020

RAMP
(
Reduce And Map Provenance
) is an extension to Hadoop that supports provenance capture and tracing for workflows of MapReduce jobs. RAMP uses a wrapper-based approach, requiring little if any user intervention in most cases, while retaining Hadoop's parallel execution and fault tolerance. We demonstrate RAMP on a real-world MapReduce workflow generated from a Pig script that performs sentiment analysis over Twitter data. We show how RAMP's automatic provenance capture and tracing capabilities provide a convenient and efficient means of drilling-down and verifying output elements.
HyPer-sonic combined transaction and query processing
Authors: Funke Florian , Kemper Alfons , Neumann Thomas
Published: June 2020

In this demo we will prove that it is - against common belief - indeed possible to build a main-memory database system that achieves world-record transaction processing throughput and best-of-breed OLAP query response times in
one
system
in parallel
on the
same
database state. The two workloads of online transaction processing (OLTP) and online analytical processing (OLAP) present different challenges for database architectures. Currently, users with high rates of mission-critical transactions have split their data into two separate systems, one database for OLTP and one so-called
data warehouse
for OLAP. While allowing for decent transaction rates, this separation has many disadvantages including data freshness issues due to the delay caused by only periodically initiating the
Extract Transform Load
-data staging and excessive resource consumption due to maintaining two separate information systems. We present an efficient hybrid system, called
HyPer
, that can handle both OLTP and OLAP simultaneously by using hardware-assisted replication mechanisms to maintain consistent snapshots of the transactional data. HyPer is a main-memory database system that guarantees the full ACID properties for OLTP transactions and executes OLAP query sessions (multiple queries) on arbitrarily current and consistent snapshots. The utilization of the processor-inherent support for virtual memory management (address translation, caching, copy-on-write) yields both at the same time: unprecedentedly high transaction rates as high as 100,000+ transactions per second and very fast OLAP query response times on a single system executing both workloads in parallel. The performance analysis is based on a combined TPC-C and TPC-H benchmark.
Whodunit
Authors: Kaushik Raghav , Ramamurthy Ravi
Published: June 2020

Commercial database systems provide support to maintain an audit trail that can be analyzed offline to identify potential threats to data security. We present a tool that performs
data auditing
that asks for an audit trail of all users and queries that referenced sensitive data, for example "find all queries and corresponding users that referenced John Doe's salary in the last six months". Our tool: (1) handles complex SQL queries including constructs such as grouping, aggregation and subqueries, (2) has privacy guarantees, and (3) incorporates novel optimization techniques for efficiently auditing a large workload of complex SQL queries.
DataSynth
Authors: Arasu Arvind , Kaushik Raghav , Li Jian
Published: June 2020

A variety of scenarios such as database system and application testing, data masking, and benchmarking require synthetic database instances, often having complex data characteristics. We present
DataSynth
, a flexible tool for generating synthetic databases. DataSynth uses a simple and powerful declarative abstraction based on
cardinality constraints
to specify data characteristics, and uses sophisticated algorithms to efficiently generate database instances satisfying the specified characteristics. The demo will showcase various features of DataSynth using two real-world data generation scenarios.
InfoNetOLAPer
Authors: Li Chuan , Yu Philip S. , Zhao Lei , Xie Yan , Lin Wangqun
Published: June 2020

To support efficient graph OLAP operations on information networks, we propose two significant intermediate infrastructures: InfoNetWarehouse and InfoNetCube. InfoNetWarehouse is designed with novelty to be the warehouse model for information networks, which provides topic-oriented, integrated, and multi-dimensional organizational solutions for Information networks. InfoNetCube is our proposed datacube implemention that serves the OLAP of information networks. We further integrate the two infrastructures with InfoNetOLAP module into a prototype called InfoNetOLAPer, which has the following noteworthy features: (1) The basic InfoNetWarehouse schema is well implemented based on SQL Server 2000, (2) InfoNetCube improves the efficiency of InfoNetOLAP by the pre-computation of InfoNetLattice, and (3) InfoNetOLAPer supports efficient I-OLAP and T-OLAP operations.
UpStream
Authors: Moga Alexandru , Tatbul Nesime
Published: June 2020

UpStream is a framework for load management over data streams with update semantics. It provides a novel storage manager architecture that can be plugged into data stream processing engines for serving streaming applications that require low-staleness results over real-time continuous queries. We propose to demonstrate the key aspects of the UpStream architecture as well as its performance using two different application scenarios: One that models a continuously updating financial market dashboard, and another one that is based on an intelligent transportation system for monitoring moving vehicles on a road traffic network. The demonstration will illustrate how UpStream can provide low-staleness query results for these applications under highly overloaded situations, by using a number of update scheduling and storage management techniques. This will be done through a number of interactive visual monitoring tools for the application interface as well as for monitoring the run-time operation of the UpStream system itself.
Microsoft codename "Montego"
Authors: Maine Stephen J. , Prem Lorenz , Szyperski Clemens , Terwilliger James F.
Published: June 2020

A fundamental problem in database systems is deriving useful information from untold quantities of data fragments that exist in the web's data stores. Data is abundant, useful information is rare.

This problem space plays host to many successful and innovative solutions from industry (e.g., [2, 4, 5, 9]), and the open-source community (e.g., [11]). Each solution has its strengths and weaknesses based their balance of utility and usability. In this paper, we demonstrate the unique approach to data mashups that Microsoft Codename "Montego" brings to the space. The "Montego" tool allows non-technical users to create complex data queries in a familiar graphical environment, while making the full expressiveness of a query language available to professional users. "Montego" operates both as a standalone client, where a user can launch it from an application like Excel® to import and manipulate data into a spreadsheet, or as a cloud service, where a user can take the product of data transformation and publish its results into a database or to the web as an OData feed.
SocialSpamGuard
Authors: Jin Xin , Lin Cindy Xide , Luo Jiebo , Han Jiawei
Published: June 2020

We have entered the era of social media networks represented by Facebook, Twitter, YouTube and Flickr. Internet users now spend more time on social networks than search engines. Business entities or public figures set up social networking pages to enhance direct interactions with online users. Social media systems heavily depend on users for content contribution and sharing. Information is spread across social networks quickly and effectively. However, at the same time social media networks become susceptible to different types of unwanted and malicious spammer or hacker actions. There is a crucial need in the society and industry for security solution in social media. In this demo, we propose
SocialSpamGuard
, a scalable and online social media spam detection system based on data mining for social network security. We employ our GAD clustering algorithm for large scale clustering and integrate it with the designed active learning algorithm to deal with the scalability and real-time detection challenges.
The researcher's guide to the data deluge
Authors: Kersten Martin L. , Idreos Stratos , Manegold Stefan , Liarou Erietta
Published: June 2020

There is a clear need for interactive exploration of extremely large databases, especially in the area of scientific data management where ingestion of multiple Terabytes on a daily basis is foreseen. Unfortunately, current data management technology is not well-suited for such overwhelming demands.

In light of these challenges, we should rethink some of the strict requirements database systems adopted in the past. We envision that next generation database systems should
interpret queries by their intent
, rather than as a contract carved in stone for complete and correct answers. The result set should aid the user in understanding the database's content and provide guidance to continue the data exploration journey. A scientist can stepwise explore deeper and deeper into the database, and stop when the result content and quality reaches his satisfaction point. At the same time, response times should be close to instant such that they allow a scientist to
interact
with the system and explore the data in a contextualized way.

Several research directions are carved out to realize this vision. They range from engineering a novel database kernel where speed rather than completeness is the first class citizen, up to refusing to process a costly query in the first place, but providing advice on how to reformulate it instead, or even providing alternatives the system believes might be relevant for the exploration patterns observed.
Anthropocentric data systems
Authors: Triantafillou Peter
Published: June 2020

Arguably, it all started with Mike Dertouzos' vision on the Information Marketplace [2]. Then, an explosion occurred. Social networks. Social computing. Social software. Groupware. Shareware. Open-source software. Personalized query answering and personalized information systems. Tagging. Folksonomies. Log and clickstream mining. Recommender systems. Crowdsourcing. Human-in-the loop and human-centered systems. Provably, these buzzwords have dominated the academic landscape within the data systems (and not only) community. There is a fundamental paradigm shift going on here. The old world, where the human was simply a passive user, has given way to a new world where humans contribute data, (storage, communication, and compute) resources, and software. Further, recently, humans take on tasks that actually alleviate and improve the jobs performed by machines and recent research from different domains have started looking into this realm where humans and computers share tasks, collaborating to achieve goals [4, 12, 11, 6, 1]!
Information diffusion in social networks
Authors: Agrawal Divyakant , Budak Ceren , Abbadi Amr El
Published: June 2020

Social networks provide great opportunities for social connection, learning, political and social change, as well as individual entertainment and enhancement in a wide variety of forms. Because many social interactions currently take place in online networks, social scientists have access to unprecedented amounts of information about social interaction. This wealth of data can allow scientists to study social interactions on a scale and at a level of detail that has never been possible before.
Optical and antimicrobial properties of silver nanoparticles synthesized via green route using honey
Authors: Kumar Anuja S. , Madhu Gayathri , John Elza , Kuttinarayanan Shinoj Vengalathunadakal , Nair Saritha K.
Published: June 2020

Among the various green synthesis methods for nanoparticle synthesis, the honey-mediated green synthesis of nanoparticles is a fast, safe, biocompatible, and cost-effective method. In the present work, we demonstrate the sunlight-induced honey-mediated synthesis of silver nanoparticles and report the effect of light intensity, its color, and exposure time on the formation of nanoparticles. The visual inspection followed by UV-Vis spectral studies was performed to confirm the formation of silver nanoparticles. The HRTEM measurement confirms the formation of polydispersed silver particles. We further report the excellent antimicrobial activity of the synthesized nanoparticles against various strains of bacteria, which is found to be comparable to that of the antibiotic drug of choice. Our study points to further research on the possibility of considering these green synthesized silver nanoparticles as an alternative to antibiotics.
Vertical land motion in the Iberian Atlantic coast and its implications for sea level change evaluation
Authors: Mendes V. B. , Barbosa S. M. , Carinhas D.
Published: June 2020

In this study, we estimate vertical land motion for 35 stations primarily located along the coastline of Portugal and Spain, using GPS time series with at least eight years of observations. Based on this set of GPS stations, our results show that vertical land motion along the Iberian coastline is characterized, in general, by a low to moderate subsidence, ranging from −2.2 mm yr−1 to 0.4 mm yr−1, partially explained by the glacial isostatic adjustment geophysical signal. The estimates of vertical land motion are subsequently applied in the analysis of tide gauge records and compared with geocentric estimates of sea level change. Geocentric sea level for the Iberian Atlantic coast determined from satellite altimetry for the last three decades has a mean of 2.5 ± 0.6 mm yr−1, with a significant range, as seen for a subset of grid points located in the vicinity of tide gauge stations, which present trends varying from 1.5 mm yr−1 to 3.2 mm yr−1. Relative sea level determined from tide gauges for this region shows a high degree of spatial variability, that can be partially explained not only by the difference in length and quality of the time series, but also for possible undocumented datum shifts, turning some trends unreliable. In general, tide gauges corrected for vertical land motion produce smaller trends than satellite altimetry. Tide gauge trends for the last three decades not corrected for vertical land motion range from 0.3 mm yr−1 to 5.0 mm yr−1 with a mean of 2.6 ± 1.4 mm yr−1, similar to that obtained from satellite altimetry. When corrected for vertical land motion, we observe a reduction of the mean to ∼1.9 ± 1.4 mm yr−1. Actions to improve our knowledge of vertical land motion using space geodesy, such as establishing stations in co-location with tide gauges, will contribute to better evaluate sea level change and its impacts on coastal regions.
„Womit aber hatten es dieKinder des Hauses verschuldet, daß er nur für dieKnechte sorgte?“
Authors: Stiening Gideon
Published: June 2020

In Schillerʼs On Grace and Dignity of 1794, his critique of the alleged ‘rigorism’ of Kantian ethics is particularly harsh: Kant has developed an ethic for “servants” that suppresses human nature for fear of it and does not reconcile it. The essay attempts to show that this critique is based on Schillerʼs double misunderstanding: a misunderstanding of the Kantian conception and a misunderstanding of its own alternative model. This analysis and interpretation of Schillerʼs critique of Kant’s ethics also leads to the realization that Schillerʼs idea of morality is ultimately more rigid than Kantʼs theory, which was so harshly criticized.
Kant, Schiller, and the Idea of a Moral Self
Authors: Deligiorgi Katerina
Published: June 2020

The paper examines Schiller’s argument concerning the subjective experience of adopting a morality based on Kantian principles. On Schiller’s view, such experience must be marked by a continuous struggle to suppress nature, because the moral law is a purely rational and categorically commanding law that addresses beings who are natural as well as rational. Essential for Schiller’s conclusion is the account he has of what it takes to follow the law, that is, the mental states and functions that encapsulate the idea of moral self contained in Kant’s ethics. Focusing on the fundamental psychological elements and processes to which Kant’s theory appeals and on which it depends to have application, the paper defends an alternative idea of moral self to the one Schiller attributes to Kant.
Supramolecular ionic polymer/carbon nanotube composite hydrogels with enhanced electromechanical performance
Authors: Zhang Yun-Fei , Du Fei-Peng , Chen Ling , Yeung Ka-Wai , Dong Yuqing , Law Wing-Cheung , Tsui Gary Chi-Pong , Tang Chak-Yin
Published: June 2020

Electroactive hydrogels have received increasing attention due to the possibility of being used in biomimetics, such as for soft robotics and artificial muscles. However, the applications are hindered by the poor mechanical properties and slow response time. To address these issues, in this study, supramolecular ionic polymer–carbon nanotube (SIPC) composite hydrogels were fabricated via in situ free radical polymerization. The polymer matrix consisted of carbon nanotubes (CNTs), styrene sulfonic sodium (SSNa), β-cyclodextrin (β-CD)-grafted acrylamide, and ferrocene (Fc)-grafted acrylamide, with the incorporation of SSNa serving as the ionic source. On applying an external voltage, the ions accumulate on one side of the matrix, leading to localized swelling and bending of the structure. Therefore, a controllable and reversible actuation can be achieved by changing the applied voltage. The tensile strength of the SIPC was improved by over 300%, from 12 to 49 kPa, due to the reinforcement effect of the CNTs and the supramolecular host–guest interactions between the β-CD and Fc moieties. The inclusion of CNTs not only improved the tensile properties but also enhanced the ion mobility, which lead to a faster electromechanical response. The presented electro-responsive composite hydrogel shows a high potential for the development of robotic devices and soft smart components for sensing and actuating applications.
Advances of graphene- and graphene oxide-modified cementitious materials
Authors: Wang Juan , Xu Yaoqun , Wu Xiaopeng , Zhang Peng , Hu Shaowei
Published: June 2020

Emerging nanomaterials provide an invaluable opportunity for the development of cementitious materials. Many scholars have explored the influence of graphene (GP) and graphene oxide (GO) on the performance of the cementitious materials. This article reviews the previous research on the effect of GP and GO on the properties of cementitious materials. Detailed review of the mechanical properties and durability of cementitious materials containing GP or GO nanofilms is presented, and the mechanism is discussed. The mechanical properties of GO-cementitious materials are significantly enhanced. The optimal improvement of GO-modified compressive, flexural, and tensile strengths is 77.3%, 78.3%, and 78.6%, respectively. The durability of GO- and GP-modified cementitious material is compared with the control group. The incorporation of GP or GO significantly improves the sulfate attack resistance, and the transport properties can be decreased, while the frost resistance of GO- and GP-modified cementitious materials needs further research. This literature review shows that the microstructure of GO- and GP-modified cementitious material is improved in three aspects: accelerating the cement hydration, refining the pore structure, and hindering the crack propagation.
Afghanistan: Droht durch die „Friedensvereinbarung“ eine Vietnamisierung des Konflikts?
Authors: Cordesman Anthony H.
Published: June 2020

Die Vereinigten Staaten haben sich bemüht, eine Art „Friedensvereinbarung“ für Afghanistan mit den Taliban zu erreichen, die jedoch möglicherweise keinen Bestand haben wird. Es fehlt an einer klaren Strategie für Afghanistan, die über eine bloße Konfliktbeendigung, einen Waffenstillstand oder die Ausschaltung terroristischer Bedrohungen hinausginge. Ein Friedensplan für Afghanistan, der keine dauerhaften Regelungen in Bezug auf Regierungsbeteiligung, die Sicherheitskräfte und die Wirtschaft umfasst, wird zu einer Situation führen, die zahlreiche Gemeinsamkeiten mit jener Zeit aufweist, als die Vereinigten Staaten durch den Abzug ihrer Truppen aus Vietnam einen Frieden herbeiführen wollten – was letztlich zum Fall Saigons führte.
Bayesian and Machine Learning Models for Genomic Prediction of Anterior Cruciate Ligament Rupture in the Canine Model
Authors: Baker Lauren A , Momen Mehdi , Chan Kore , Bollig Nathan , Lopes Fernando Brito , Rosa Guilherme J M , Todhunter Rory J , Binversie Emily E , Sample Susannah J , Muir Peter
Published: June 2020

Anterior cruciate ligament (ACL) rupture is a common, debilitating condition that leads to early-onset osteoarthritis and reduced quality of human life. ACL rupture is a complex disease with both genetic and environmental risk factors. Characterizing the genetic basis of ACL rupture would provide the ability to identify individuals that have high genetic risk and allow the opportunity for preventative management. Spontaneous ACL rupture is also common in dogs and shows a similar clinical presentation and progression. Thus, the dog has emerged as an excellent genomic model for human ACL rupture. Genome-wide association studies (GWAS) in the dog have identified a number of candidate genetic variants, but research in genomic prediction has been limited. In this analysis, we explore several Bayesian and machine learning models for genomic prediction of ACL rupture in the Labrador Retriever dog. Our work demonstrates the feasibility of predicting ACL rupture from SNPs in the Labrador Retriever model with and without consideration of non-genetic risk factors. Genomic prediction including non-genetic risk factors approached clinical relevance using multiple linear Bayesian and non-linear models. This analysis represents the first steps toward development of a predictive algorithm for ACL rupture in the Labrador Retriever model. Future work may extend this algorithm to other high-risk breeds of dog. The ability to accurately predict individual dogs at high risk for ACL rupture would identify candidates for clinical trials that would benefit both veterinary and human medicine.
Gimnasia de competición en la trayectoria escolar de estudiantes ingresantes a la licenciatura en educación física en Paraná - Brasil
Authors: Sontag Bruna , Silva Piovani Verónica Gabriela , Faria Pires Ademir , Barbosa Dos Reis Eliane Josefa , Parra Barbosa Rinaldi Ieda
Published: June 2020

El objetivo fue analizar las experiencias vivenciadas por los estudiantes que ingresaron a cursos de Licenciatura en Educación Física en el Estado de Paraná (Brasil) con la gimnasia de competición durante la Educación Primaria y Secundaria. La investigación se caracterizó como descriptiva con abordaje cualitativo y cuantitativo. Participaron 168 estudiantes que ingresaron en el año 2017 en cursos de Licenciatura en Educación Física de cuatro universidades públicas de Paraná. Fue utilizado un cuestionario con información sociodemográfica, preguntas abiertas y cerradas sobre la experiencia del contenido de gimnasia de competición en el contexto escolar. Para analizar las preguntas abiertas fue utilizado el análisis de contenido. En el análisis de información sociodemográfica y preguntas cerradas se usó estadística descriptiva. Se evidenció escasa experiencia por parte de los estudiantes con las modalidades de gimnasia de competición y falta de oportunidad de estos alumnos de vivenciar y reflexionar sobre la gimnasia en la Educación Física escolar.
Variación de la velocidad y la frecuencia cardiaca durante un maratón en un ambiente caluroso
Authors: Rojas-Valverde Daniel , S´´anchez-Ureña Braulio , Ugalde-Ramírez Alexis , Gómez-Carmona Carlos D. , Pino-Ortega José , Gutiérrez-Vargas Randall
Published: June 2020

El objetivo del presente estudio fue analizar la variación de la velocidad de carrera y la frecuencia cardíaca en corredores aficionados durante un maratón en un entorno de alto índice térmico. Dieciocho corredores aficionados (peso: 65.2 ± 12.21 kg, altura: 168.4 ± 10.6 cm, VO2max: 52.9 ± 7.1 ml/kg/min) corrieron un maratón (42195 m) en cercanía al mar bajo un índice térmico de 27.8 ± 3.52 ºC y con recorrido de 0-80 m.s.n.m. La prueba de Pearson mostró una correlación significativa entre el aumento del índice de estrés termal (TGBH) y la variación de la velocidad (r= 0.168, p= 0.049). En este sentido, la duración total de la carrera presentó una relación directa con la velocidad (r= 0.675, p= 0.003) y la variación de la frecuencia cardíaca (r= 0.631, p= 0.007). El tiempo final de carrera se explicó en un 61.6% y 37% por la variación de la velocidad de 26 a 30 km (r2= 0.61; F= 26.17; p< 0.001) y por la variabilidad de la frecuencia cardíaca en el lapso de 31 a 35 km (r2= 0.37; F= 10.38; p< 0.001) respectivamente. En conclusión, el índice térmico provoca una disminución en el ritmo de la velocidad, siendo este efecto mayor en la segunda mitad de la carrera. Por lo anterior, entrenadores deben de planificar entrenamientos y estrategias para mitigar el impacto de estas condiciones en el desempeño físico y fisiológico de los corredores amateur.