bluuebunny/crossref_metadata_2025 huggingface dataset:
Technical specifications of a service-oriented architecture for semantic interoperability of EHR - electronic health records
Authors: Oliveira Edgard Costa
Published: February 2018

Many countries are in the run for implementing their national electronic health strategies, on top of the existing health systems administrative and clinical procedures. There have been international successful initiatives in these cases, however, a substantial effort is necessary in order to adapt the best practices to national realities. In Brazil, the effort of implementing a technological solution, inspired by these international cases, is under way. This paper describes the technical specification of an implementation architecture for a SOA-based infrastructure that created the Electronic Health Record solutions for the Brazilian public health system.  We identified here, the context where it has been implemented and particular need of the National e-health strategy, the information health management standards and patterns used. We described the SOA architecture built and implemented, aiming at specific needs at stake, such as basic care, hospital, medicines and individual patient’s information. The basic EHR profiles used are also described with an emphasis on specific use cases. The integrated solution implemented was also presented in a general design that brings together, in a simplified manner, the components of a semantically interoperable SOA architecture for electronic health records designed specifically for the Brazilian health context, but we hope can be an asset and success case for other ongoing e-health strategy design initiatives.
Performance indicators in higher education with learning analytics
Authors: Morais Carlos , Alves Paulo Alexandre , Miranda Luisa
Published: February 2018

The regular use of virtual learning environments by educational institutions and the availability of large quantities of data regarding the teaching and learning process both challenge teachers, institutions and researchers to explore such data within the perspective of learning analytics in order to obtain indicators which might contribute to the improvement of the teaching and learning process. Consequently, such improvement may lead to students’ better learning outcomes as well as a better relationship with the institution they attend. Taking into account that student retention and dropout from degree courses before their completion have highly negative consequences for a high number of students, the aim of this research is to look into indicators associated with such problems through a mixed methodology, both qualitative and quantitative, and through procedures of analysis and research of data from databases containing academic information provided by a sample of 1,588 undergraduates. The focus of the study lies upon the relation and analysis of the following variables: students’ frequency of access per course unit to the virtual environment of the institution they attend; quantity of course units passed; and mean of the marks obtained in the course units passed. Among the results obtained, we highlight the existence of a positive degree of association with moderate correlation between the variables frequency of access per course unit to the virtual environment and the mean of the number of course units passed. Following the division of the sample into four different groups, each group corresponding to one quartile, resulting from the data regarding the frequency of accesses per course unit to the institution’s virtual environment, significant differences were found concerning the mean of the course units passed between the groups showing a higher frequency of access to the virtual learning environment and those with a lower access frequency, to the advantage of the groups showing a higher frequency of access to the virtual environment. Therefore, considering the way the groups were constituted, there is proof that the higher the frequency of access to the virtual environment is, the higher the probability of students succeeding in the course units they attend will be.
ATRIBUTOS FÍSICOS DO SOLO EM ÁREA SOB COLHEITA FLORESTAL SEMIMECANIZADA NO ESTADO DO ESPÍRITO SANTO
Authors: Sperandio Huezer Viganô , Cecílio Roberto Avelino
Published: February 2018

O Estado do Espírito Santo apresenta grande potencial às atividades silviculturais, contudo, o relevo é predominantemente montanhoso, viabilizando assim, no momento da colheita florestal, somente a metodologia semimecanizada. Este trabalho teve por objetivo avaliar a influencia da colheita semimecanizada nos atributos físicos do solo, em povoamento de eucalipto implantado no município de Santa Teresa, ES. Antes e depois da colheita avaliaram-se os seguintes atributos: granulometria, densidade do solo, densidade de partículas, porosidade total e taxa de infiltração estável. Constatou-se que não ocorreu diferença estatística entre os atributos avaliados antes e depois da colheita.
First Issue Editorial
Authors: Abowd John M. , Nissim Kobbi , Skinner Chris J.
Published: February 2018

When the founders of this Journal -- Cynthia Dwork, Stephen Fienberg and Alan Karr -- made its initial call for papers, they and we identified many constituencies that participate in the scientific analysis of privacy and confidentiality. Statisticians, particularly those working within national statistical offices, have developed the field of statistical disclosure limitation. Com- puter scientists contribute work in privacy-preserving data-mining and cryptographic analyses of privacy. Lawyers and social scientists study the role of government and regulation in the creation and protection of individual and business privacy. Health researchers struggle with the trade-off between a patient’s privacy and the contribution to science that access to inte- grated medical records might allow. Survey designers in all fields of human endeavor wrestle with methods of enticing survey cooperation under a variety of ethical and privacy guarantees. Gargantuan online services gather petabytes of data on search queries, online purchases, e-mail exchanges, and other social network interactions while pushing their computer scientists to exploit the corporate asset these data represent without damaging the companies’ ability to do future business by breaching the confidence of their client/users. And many, many data users from all of the fields listed above perform analyses that are conditioned on the privacy and confidentiality protections imposed on their work without all the means to assess the consequences of those measures on the inferences they have made.
We are certainly not the first journal to venture into this domain. But we are the first journal to solicit actively contributions from the entire community that are aimed at multiple constituencies within that community. We think that a brief illustration of how the research questions share a common theme would provide a useful introduction to this first volume.
Secure Multiparty Computation for Privacy-Preserving Data Mining
Authors: Lindell Yehuda , Pinkas Benny
Published: February 2018

In this paper, we survey the basic paradigms and notions of secure multiparty computation and discuss their relevance to the field of privacy-preserving data mining. In addition to reviewing definitions and constructions for secure multiparty computation, we discuss the issue of efficiency and demonstrate the difficulties involved in constructing highly efficient protocols. We also present common errors that are prevalent in the literature when secure multiparty computation techniques are applied to privacy-preserving data mining. Finally, we discuss the relationship between secure multiparty computation and privacy-preserving data mining, and show which problems it solves and which problems it does not.
Estimating Risks of Identification Disclosure in Partially Synthetic Data
Authors: Reiter Jerome P. , Mitra Robin
Published: February 2018

To limit disclosures, statistical agencies and other data disseminators can release partially synthetic, public use microdata sets. These comprise the units originally surveyed; but some collected values, for example, sensitive values at high risk of disclosure or values of key identifiers, are replaced with multiple draws from statistical models. Because the original records are on the file, there remain risks of identifications. In this paper, we describe how to evaluate identification disclosure risks in partially synthetic data, accounting for released information from the multiple datasets, the model used to generate synthetic values, and the approach used to select values to synthesize. We illustrate the computations using the Survey of Youths in Custody.
Secure Statistical Analysis of Distributed Databases, Emphasizing What We Don't Know
Authors: Karr Alan F.
Published: February 2018

Over the past several years, the National Institute of Statistical Sciences (NISS) has developed methodology to perform statistical analyses that, in effect, integrate data in multiple, distributed databases, but without literally bringing the data together in one place. In this paper, we summarize that research, but focus on issues that are not understood. These include inability to perform exploratory analyses and visualizations, protections against dishonest participants, inequities between database owners and lack of measures of risk and utility.
Privacy-preserving Maximum Likelihood Estimation for Distributed Data
Authors: Lin Xiaodong , Karr Alan F.
Published: February 2018

Recent technological advances enable the collection of huge amounts

of data. Commonly, these data are generated, stored, and owned by multiple entities

that are unwilling to cede control of their data. This distributed environment

requires statistical tools that can produce correct results while preserving data privacy.

Privacy-preserving protocols have been proposed to solve specific statistical

analysis such as linear regression, clustering, and classification. In this paper, we

present methods and protocols for privacy-preserving maximum likelihood estimation

in general settings. We discuss both horizontally and vertically partitioned

data, and propose procedures that allow participating parties to withdraw from

the joint computation. Logistic regression is used to demonstrate our method.
Editorial: In This Issue
Authors: Fienberg Stephen E.
Published: February 2018

In this issue of the Journal of Privacy and Confidentiality , we continue our focus on the technical aspects of research methodologies and activities in the areas of privacy, confidentiality, and disclosure limitation through a trio of articles, but we begin by reproducing related materials from some other sources on broader aspects of the topics.
Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications
Authors: Yang Xiaolin , Fienberg Stephen E. , Rinaldo Alessandro
Published: February 2018

The methodology of differential privacy has provided a strong definition of privacy which in some settings, using a mechanism of doubly-exponential noise addition, also allows for extraction of informative statistics from databases. In a recent paper, Barak et al.[1] extend this approach to the release of a specified set of margins from a multi-way contingency table. Privacy protection in such settings implicitly focuses on small cell counts that might allow for the identification of units that are unique in the database. We explore how well the mechanism works in the context of a series of examples, and the extent to which the proposed differential-privacy mechanism allows for sensible inferences from the released data. We conclude that the methodology, as it is currently formulated, is problematic in the context of the types of large sparse contingency tables encountered in statistical practice.
Towards Providing Automated Feedback on the Quality of Inferences from Synthetic Datasets
Authors: McClure David R. , Reiter Jerome P.
Published: February 2018

When releasing individual-level data to the public, statistical agencies typically alter data values to protect the confidentiality of individuals’ identities and sensitive attributes. When data undergo substantial perturbation, secondary data analysts’ inferences can be distorted in ways that they typically cannot determine from the released data alone. This is problematic, in that analysts have no idea if they should trust the results based on the altered data.To ameliorate this problem, agencies can establish verification servers, which are remote computers that analysts query for measures of the quality of inferences obtained from disclosure-protected data. The reported quality measures reflect the similarity between the analysis done with the altered data and the analysis done with the confidential data. However, quality measures can leak information about the confidential values, so that they too must be subject to disclosure protections. In this article, we discuss several approaches to releasing quality measures for verification servers when the public use data are generated via multiple imputation, also known as synthetic data. The methods can be modified for other stochastic perturbation methods.
Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings
Authors: Fienberg Stephen E. , Jin Jiashun
Published: February 2018

We focus on the problem of multi-party data sharing in high dimensional data settings where the number of measured features (or the dimension) p is frequently much larger than the number of subjects (or the sample size) n, the so-called p >> n scenario that has been the focus of much recent statistical research. Here, we consider data sharing for two interconnected problems in high dimensional data analysis, namely the feature selection and classification. We characterize the notions of ``cautious", ``regular", and ``generous" data sharing in terms of their privacy-preserving implications for the parties and their share of data, with focus on the ``feature privacy" rather than the ``sample privacy", though the violation of the former may lead to the latter. We evaluate the data sharing methods using {\it phase diagram} from the statistical literature on multiplicity and Higher Criticism thresholding. In the two-dimensional phase space calibrated by the signal sparsity and signal strength, a phase diagram is a partition of the phase space and contains three distinguished regions, where we have no (feature)-privacy violation, relatively rare privacy violations, and an overwhelming amount of privacy violation.
Silent Listeners: The Evolution of Privacy and Disclosure on Facebook
Authors: Stutzman Fred , Gross Ralph , Acquisti Alessandro
Published: February 2018

Over the past decade, social network sites have experienced dramatic growth in popularity, reaching most demographics and providing new opportunities for interaction and socialization. Through this growth, users have been challenged to manage novel privacy concerns and balance nuanced trade-offs between disclosing and withholding personal information. To date, however, no study has documented how privacy and disclosure evolved on social network sites over an extended period of time. In this manuscript we use profile data from a longitudinal panel of 5,076 Facebook users to understand how their privacy and disclosure behavior changed between 2005---the early days of the network---and 2011. Our analysis highlights three contrasting trends. First, over time Facebook users in our dataset exhibited increasingly privacy-seeking behavior, progressively decreasing the amount of personal data shared publicly with unconnected profiles in the same network. However, and second, changes implemented by Facebook near the end of the period of time under our observation arrested or in some cases inverted that trend. Third, the amount and scope of personal information that Facebook users revealed privately to other connected profiles actually increased over time---and because of that, so did disclosures to ``silent listeners'' on the network: Facebook itself, third-party apps, and (indirectly) advertisers. These findings highlight the tension between privacy choices as expressions of individual subjective preferences, and the role of the environment in shaping those choices.
Statistical Déjà Vu: The National Data Center Proposal of 1965 and Its Descendants
Authors: Kraus Rebecca
Published: February 2018

Issues concerning sharing of statistical information, linking data sets, and storing and preserving data collected by the federal statistical agencies have long sparked debate. This paper focuses on the National Data Center proposal of 1965, ensuing public concern over its privacy implications, and the response of the Bureau of the Budget and the U.S. Census Bureau. The purpose of this study is to identify the issues leading to the development of the proposal, as well as the consequences of the proposal, in order to inform current policy decisions, particularly in regard to the U.S. Census Bureau. Examples of subsequent efforts at statistical consolidate and data sharing highlight the persistent theme of statistical deja vu.
An Intuitive Formulation and Solution of the Exact Cell-Bounding Problem for Contingency Tables of Conditional Frequencies
Authors: Wright Stephen E. , Smucker Byran J.
Published: February 2018

Recent research has raised questions about the structure and calculation of bounds on the underlying cell counts for a contingency table released in the form of conditional probabilities. This problem has implications for statistical disclosure limitation. We elucidate the mathematical structure of the problem in fairly elementary terms, under the assumption that the unrounded conditionals and sample size are known. To do so, we reformulate a standard integer programming approach as a knapsack problem, show that this provides many insights into the problem, and provide illustrations in the context of several datasets. In particular, we demonstrate that the tightest bounds are much easier to calculate than previously believed, and we also identify circumstances in which disclosure is either guaranteed or unlikely to occur.
O manifesto dos professores públicos primários da Corte Imperial e a emergência do associativismo docente
Authors: Lemos Daniel Cavalcanti de Albuquerque
Published: February 2018

Este artigo tem como objetivo discutir o manifesto dos professores públicos primários da corte, escrito em 1871, e suas relações com o associativismo docente e o processo de profissionalização do magistério. A análise do manifesto fornece possibilidades para pensar as condições de surgimento do movimento de professores, suas formas de organização, reivindicação e atuação. Utiliza-se como fonte para este trabalho o manifesto dos professores públicos primários da Corte, a legislação do período, com destaque para os relatórios do ministro dos negócios do Império e outros escritos de professores, como abaixo-assinados e jornais pedagógicos. Palavras-chave: Manifestos. Educação no Período Imperial. Profissionalização Docente. Escolas Primárias.
Pengaruh Komunikasi Efektif Untuk Meningkatkan Hasil Belajar Mahasiswa
Authors: Aries Suprapto Hugo
Published: February 2018

AbstractWith effective communication, the managerial functions that originated from thefunctions, implementation and monitoring can be achieved. This study used anexperimental method. Subjects were students of the seventh semester of IndustrialEngineering as many as 25. There is a significant influence effective communication toincrease student learning outcomes. The data was processed with SPSS 22. The resultsshowed, normality test, homogeneity and T Samples Paired with a significant level of α= 5%, the normality test results obtained prior to the effective communicationKolmogorof-Smirnov value Sig. 0190, and Shapiro-Wilk 0215 so that at α = 5% = 0:05<Sig. = 0, the sample data came from a normal distribution. While the test results ofnormality after the effective communication of values obtained Kolmogorof-SmirnovSig. 0134, and Shapiro-Wilk 0346 so that at α = 5% = 0:05 <Sig. = 0, the sample datacame from a normal distribution. At Variance Homogeneity Test Levene Value Sig.0096, at a significance level of α = 5% = 0:05 <Sig.0.096 so that it can be said of datasamples derived from the variances are homogenous, it can be concluded on aconfidence level of 95%, on average after the effective communication to improvestudent results mean for entrepreneurship courses 80.9600) compared to before usingeffective communication (mean of 64.7200), rose by 16:24. In other words, the use ofeffective communication wear a significant effect on improving learning outcomes95%. This study gives suggestions to overcome the problems found in the study.Keywords: effective communication, learning outcomes
Dinamika Pembangunan Masyarakat Kudus Berkonteks Sejarah Industri dan Budaya Lokal
Authors: Purbasari Imaniar
Published: February 2018

AbstractPositive and negative aspects for developing area by the industrial sectoris the one of way to development society. Learn by trading of Kudus communitythen entered the industrial era an indicator of traditional move to moderncommunity. This research aims to explain the dynamics of developmentalcommunity from the industrial sector in Kudus. Now, Kudus community must bebrave to openness and ability to adjust the progress by the industry.Observation to get validity of data on the behavior of the people in Kudus.Development community can be seen from society to open and encouragingeach people to move utilizing natural commodities very wisely and economycommodity by the environment.Keywords: economic, social, Kudus society
Probability Interpretation of Forensic Evidence
Authors: Gradusova O. B. , Kuz’min S. A.
Published: February 2018

A short historical survey was carried out to compare different statistical approaches used in the field of forensics for the evaluation of individual features or sets of features, as well as the results of comparative examinations. Some advantages and disadvantages of each approach are considered, and the most appropriate trend is suggested for the improvement of statistical and mathematical tools of evidence interpretation in forensic practice
Pemodelan Sistem Penjadwalan Praktikum Laboratorium Menggunakan Aljabar Maxplus (Studi Kasus Di STMIK Bumigora Mataram)
Authors: Hasanah Uswatun , Sulistianingsih Neny
Published: February 2018

Practical activities carried in the laboratory which aims to support the learning process of each semester. There were 500 participants of practicum utilize this activity at every level of education D3 and S1. Therefore, it was necessary that proper schedule of system so that the process runs smoothly in the laboratory practicum. But seeing the phenomena that occur in the fild, the schedule has been collated not corresponding with time of lecturers and students so that researchers trying to model the laboratory practicum of STMIK using Maxplus algebra. Based on the model and the simulation by results of Scilabwas scheduling in the Lab II that eigenvalues for 800 with an initial value x (0), its mean the period of transition participants of practicum and the other participants of practicum is 800 minutes. Therefore, there was only one lab are scheduled every day in Lab II because the process of practicum fiished at 12.00.
Aplikasi Deteksi Kemiripan Tugas Paper
Authors: Anggrawan Anthony , - Azhari
Published: February 2018

Information searching based on users’ query, which is hopefully able to find the documents based on users’ need, is known as Information Retrieval. This research uses Vector Space Model method in determining the similarity percentage of each student’s assignment. This research uses PHP programming and MySQL database. The finding is represented by ranking the similarity of document with query, with mean average precision value of 0,874. It shows how accurate the application with the examination done by the experts, which is gained from the evaluation with 5 queries that is compared to 25 samples of documents. If the number of counted assignments has higher similarity, thus the process of similarity counting needs more time, it depends on the assignment’s number which is submitted.
Evaluasi Produk Pembelajaran Multimedia (Pelin) Evaluation Of Learning Multimedia Product (Pelin)
Authors: Qudsi Jihadil , Anggrawan Anthony
Published: February 2018

This paper purpose is to discover shortcomings of multimedia product of Pelin and to conduct asurvey to users of multimedia Pelin . Pelin is an online e-learning multimedia for students of Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Bumigora Mataram, which is able the students to upload task file and download learning material. Pelin system is based on restful webservice that can provide distant learning. There are four levels of evaluation, those are reaction, learning, behavior and result. The formative evaluations result show: the Pelin multimedia disadvantages are: not supports interactive face to face learning, not facilitates audio communication, not be fully user friendly, could not upload graphic and image files, not be provided by feedback facility of test result and also not have help menus. The summative evaluation result found that the Pelin Multimedia is supports independent learning, provides web-client application, improves reaction of student to learn, increases student knowledge comprehension, increaseslearning behavior, and gives good learning result. Statistical comparison tests found there aresignificant differences influence the implementation of Pelin and there is no difference in terms of the level of reaction, learning and behavior towards the use of Pelin for S1 and D3 students.
Perspektif Baru Enterprise Architecture Pemerintahan Kota Mataram Berbasis TOGAF ADM
Authors: Husain Husain , Andono Pulung Nurtantio , Soeleman M. Arif
Published: February 2018

TIK salah satu penentu keberhasilan sebuah organisasi dalam mencapai visi dan misinya. Terpilihnya pemimpin yang baru, terbentuknya SKPD baru dengan visi misi baru sehingga master plan yang lama di anggap sudah tidak relevan lagi, sehingga persoalan yang muncul diselesaikan dengan cara reaktif dan memungkinkan persoalan yang sama akan muncul kembali pada masa yang akan datang. Arsitektur enterprise adalah cara untuk membangun arsitektur TIK dari sebuah organisasi yang berfokus pada arsitektur bisnis, arsitektur data, arsitektur aplikasi dan arsitektur teknologi. Penelitian ini merupakan penelitian deskriptif kualitatif dengan pendekatan studi kasus. Metodologi yang digunakan adalah Enterprise Architecture TOGAF ADM sebagai kerangka acuan untuk perencanaan strategis TIK Pemerintahan Kota Mataram. Subyek pada penelitian ini adalah responden yang memiliki kewenangan dalam pengambilan keputusan terkait TIK dan pengguna TIK di Dinas Komunikasi dan Informatika (DISKOMINFO). Kebutuhan bisnis yang terdiri dari Arsitektur Data, Aplikasi dan Teknologi diidentifikasi dan diusulkan untuk mendukung aktivitas bisnis demi pencapaian tujuan organisasi.  Hasil dari penelitian ini dengan menganalisa penggunaan penerapan teknologi informasi dan komunikasi(TIK) Seperti Sumber daya Manusia yang terlibat, kebutuhan aplikasi dan infrastruktur jaringan komputer dalam untuk mendukung proses bisnis dalam pelaksanaan roda pemerintahan Kota Mataram, dengan menggunakan metode scorecard  uji kelayakan dengan rata-rata perolehan 76%.
Pengembangan Multimedia Pembelajaran Untuk Matakuliah Grafik Komputer Menggunakan Metode Addie
Authors: - Yuniansyah , Saputra Andri
Published: February 2018

This research  aims to develop multimedia learning in computer graphics courses. The development method used is ADDIE (Analysis Design Develop Implementation Evaluate) which is a method usually used for the development of multimedia learning. The process of analysis is done by looking and studying the process of teaching and learning that runs during this, at the design stage used Adobe Photoshop software. In the process of developing the author using Adobe Flash CS6 for display, writing and animation, as well as Visual camtasia video creation. After the development process is complete, the implementation stages are tested using white box and black box test method. In evaluation prooses involving multimedia experts and students who have followed or are following the course of Computer Graph. Based on the results of experiments and evaluations can be concluded that multimedia learning Graphics Data meet the criteria very well include operational aspects and teaching materials and can be used to help students and lecturers on teaching and learning process, and can be used by students to learn independently
Sistem Pendukung Keputusan Kategori Rumah Tidak Layak Huni Di Kelurahan Majidi Selong Kabupaten Lombok Timur Dengan Metode Simple Additive Weighting (Saw)
Authors: Hakim Marwan
Published: February 2018

Decision Support System (DSS) is an interactive information system that provides information, modeling, and data manipulation. This system is used to assist in decision-making processes in semi-structured situations of unstructured situations, in which no one knows uncertainly how decisions should be made. Application of Simple Additive Weighting (SAW) Method with the final result shown in the ranking of the weighting process based on the criteria and sub criteria. Habitable home category can be directly seen from the value and ranking so that it can be determined whether or not the people get help, whether in the form of home renovation or home surgery. With this application is expected all problems to the determination of the category of  for the poor wrong target will be solved and no more people complain about this, and for the government is expected to convey the mandate that is correct and no errors.
Pemanfaatan Analytical Hierarchy Process (Ahp) Pada E-Voting Pemilihan Ketua OSIS
Authors: Astuti Tri , Kusumastuti Galuh , Fitriyanto Rudi
Published: February 2018

The selection of the head of the intra-school student organization (OSIS) is an annual event that is regularly conducted once a year in schools. Todays the election process applied in schools based on the acquisition of the most votes or called conventional voting. The selection is done using the ballots distributed to the students. Problems that occur in conventional voting are quite a lot of invalid ballots, students do not choose, the cost required is high enough and has a pattern of increased costs each year. In addition, in determining the elected candidates when found the same number of votes often confusion and re-election and result in scattering costs for the selection process. Today's increasingly sophisticated technological developments can be used to overcome problems in the conventional voting process by applying e-voting that has a number of advantages. The purpose of this research is to develop e-voting application in choosing the chairman of OSIS as an alternative way of choosing the chairman of OSIS based on decision-making method of Analytical Hierarchy Process (AHP. The system development method used is extreme programming (XP). The result of this research is the e-voting application of OSIS chairman election.
PENGARUH BAURAN PEMASARAN TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN PRODUK WARALABA KEBAB TURKI BABA RAFI DI KOTA MATARAM
Authors: Rahima Phyta
Published: February 2018

AbstrakPenelitian ini berjudul “Pengaruh Bauran Pemasaran Terhadap Bisnis Waralaba Kebab Turki Baba Rafi di Kota Mataram. Tujuan penelitian ini adalah ingin mengetahui secara simultan dan parsial pengaruh bauran pemasaran terhadap keputusan pembelian konsumen pada produk waralaba Kebab Turki Baba Rafi di Kota Mataram serta mengetahui unsur manakah yang berpengaruh dominan terhadap keputusan pembelian konsumen pada bisnis Waralaba Kebab Turki Baba Rafi di Kota Mataram. Jenis Penelitian yang digunakan adalah penelitian Asosiatif atau Kausalitas, sedangkan jenis data dari penelitian ini adalah Data Kuantitatif dan Kualitatif dengan Sumber data Primer yang berasal dari 100 orang Responden dari Kebab Turki Baba Rafi dan Data Sekunder berasal dari dari situs Resmi Kebab Turki Baba Rafi. Dalam menentukan Sampel, peneliti menggunakan Accidental Sampling. Untuk mendapatkan hasil dari rumusan masalah, peneliti menggunakan beberapa teknik analisis data seperti Uji Asumsi Klasik, Uji Validitas dan Reliabilitas, Uji Hipotesis t-test dan Uji Hipotesis F-test dengan bantuan Program SPSS Ver.18.  serta Uji Regresi Linier Berganda dan hasil yang diperoleh adalah sebesar 57,3%, variabel Keputusan Pembelian Konsumen dijelaskan oleh variabel Independen Produk, Promosi, Tempat dan Orang, Sisanya 42.7 % (100 % - 57.3%) dijelaskan oleh variabel lain di luar variabel yang digunakan. Sedangkan yang berpengaruh dominan terhadap Keputusan Pembelian Konsumen adalah Variabel Promosi (X4) dan Tempat (X3). Dan secara simultan Bauran pemasaran berpengaruh terhadap Keputusan Pembelian Konsumen
PERBANDINGAN METODE CROSS VALIDATION DAN GENERALIZED CROSS VALIDATION DALAM REGRESI NONPARAMETRIK BIRESPON SPLINE
Authors: Pratiwi Luh Putu Safitri
Published: February 2018

AbstrakAnalisis regresi merupakan salah satu metode yang sangat populer dalam statistika untuk menjelaskan hubungan sebab akibat antara satu/beberapa variabel prediktor terhadap satu variabel respon. Pada umumnya, pemodelan yang dapat dilakukan dengan menggunakan analisis regresi. Kurva regresi dapat diduga dengan pendekatan regresi parametrik dan pendekatan regresi nonparametrik. Namun, tidak semua data yang diperoleh mengikuti pola tertentu sehingga jenis data ini menggunakan pendekatan regresi nonparametrik. Pendekatan regresi nonparametrik tidak terkait dengan asumsi bentuk kurva regresi seperti halnya pada regresi parametrik, dan lebih fleksibel. Ada beberapa teknik yang dilakukan untuk estimasi dalam regresi nonparametrik yaitu Spline. Beberapa kasus dalam analisis regresi banyak dijumpai permasalahan yang tidak dapat diselesaikan dengan analisis regresi sederhana satu respon karena jika menggunakan dua variabel respon pada penelitian, maka harus dilihat nilai korelasi antar variabel. Akibatnya, persoalan regresi harus diselesaikan dengan model regresi birespon. Penelitian ini bertujuan untuk mendeskripsikan AKB dan status gizi buruk balita dan mendapatkan model Spline dalam regresi nonparametrik birespon terbaik melalui hubungan antara variabel yang diduga berpengaruh dengan menggunakan metode Cross Validation (CV) dan Generalized Cross Validation (GCV). Hasil yang didapat yaitu model terbaik yang sesuai untuk derajat kesehatan di Indonesia pada tahun 2015 yaitu dengan menggunakan metode CV dengan  nilai CV minimum yang terletak  pada model Spline linier satu knot yakni sebesar 77.37831 dengan MSE sebesar 76.75449.
Keeping the Golden Door Ajar: The Business Case for Mexican Labour Migration to the United States in the 1920s
Authors: Sullivan Michael J.
Published: February 2018

This article highlights the role that US Chamber of Commerce lobbyists and border politicians played in limiting restrictions on Mexican labour migration to the United States in the 1920s. Together, they successfully resisted calls for stricter statutory limitations on the admission of Mexican migrants by emphasizing their economic and civic contributions.
Fifty years of progress in ice engineering
Authors: Gold Lorne W.
Published: February 2018

The literature reporting scientific and engineering investigations on ice has grown rapidly in the past 50 years, and increased by a factor of at least ten in the past 20 years. A review is presented of advances in engineering for ice problems during this period, including ice formation in rivers, lakes, and oceans; ice forces on structures; bearing capacity of ice covers; and atmospheric icing. The difficulties faced by engineers due to the unique physical and mechanical properties of ice and its normal thermal state are emphasized.
Efficacy of insecticides for suppressing pod borer of mungbean
Authors: Shahiduzzaman M , Nag BL , Bashar HMK , Hasan GN
Published: February 2018

A field experiment was carried out at Regional Pulses Research Station (RPRS), Madaripur during Kharif-I season of 2014 and 2015 to find out the effective insecticides for suppressing pod borer (Helicoverpa armigera Hubner) (Lepidopetera: Noctuidae) infesting Mungbean. In Kharif-I, 2014, suppression of pod borer infestation was the highest (80.82%) in Tracer (Spinosad) treated plot and produced the highest (1738 kg-1ha) seed yield and the highest benefit cost ratio (6.28) obtained in Volium Flexi 300SC (Thiamethaxam+ Chlorantraniliprole) treated plot. In Kharif-I, 2015, suppression of pod borer infestation was the highest (64.15%) in Volium Flexi 300SC treated plot and produced the highest (1610 kg-1ha) seed yield and also gave the highest benefit cost ratio (4.27). Considering the two years data the treatment Volium Flexi 300SC was found to be the best to suppress pod borer attacking mungbean.Bangladesh J. Agril. Res. 42(4): 725-730, December 2017
Frank and Fearless: Supporting Academic Career Progression for Women in an Australian Program
Authors: Parker Polly , Hewitt Belinda , Witheriff Jennifer , Cooper Amy
Published: February 2018

The underrepresentation of women in senior positions continues to be a major challenge in higher education and most other industries. In Australia, the career trajectory for academic women stalls at a lower level than that of their male counterparts. Concern about this situation in one Australian university led to the design and delivery of a career progression program to support women’s advancement from senior lecturer to associate professor. This study details the main features of the program, designed to facilitate women’s transition from being leading academics to academic leaders through a focus on leadership and career progression. We report the participants’ perceptions of its value based on survey data. We conclude that leadership development is difficult work and requires a supportive environment where risk-taking is encouraged, where frank and fearless feedback is provided, and where the individual is required to examine assumptions and biases and to assume a leadership identity.
Identification of Phenotypic Variation and Genetic Diversity in Rice (Oryza sativa L.) Mutants
Authors: Tu Anh Truong , Khanh Tran , Dat Tran , Xuan Tran
Published: February 2018

In this study, phenotypic variation and genetic diversity, important factors to decide germplasm for rice breeding, were evaluated among 15 rice mutants attained from the MNU (N-Nitroso-N-methylurea) mutation. The correlation coefficient values among these phenotypic characteristics were calculated. The results showed that full grain number per plant was the most relevant factor contributing to grain yield per plant, and grain length to width ratio was the key parameter affected to amylose content. Furthermore, the genetic variation among mutants was estimated by Simple Sequence Repeat (SSR) markers related to amylose content trait. Fifty-six polymorphism markers covering across eleven rice chromosomes were recorded with an average of 3.02 alleles per locus. The average value of polymorphism information content was 0.47. By using the unweighted pair group method with arithmetic mean (UPGMA) clustering, four clusters were generated with the genetic similarities ranging from 0.52 to 0.91. The variation among groups was 34%, while the variation among individuals within groups was 66%. Findings of this study provided useful genetic background and phenotypic information of collected rice mutants to breed rice cultivars with improved quality.
Isolation of Mercury-Resistant Fungi from Mercury-Contaminated Agricultural Soil
Authors: Hindersah Reginawanti , Asda Khainur , Herdiyantoro Diyan , Kamaluddin Nadia
Published: February 2018

Illegal gold mining and the resulting gold mine tailing ponds on Buru Island in Maluku, Indonesia have increased Mercury (Hg) levels in agricultural soil and caused massive environmental damage. High levels of Hg in soil lowers plant productivity and threatens the equilibrium of the food web. One possible method of handling Hg-contaminated soils is through bioremediation, which could eliminate Hg from the rhizosphere (root zone). In this study, indigenous fungi isolated from Hg-contaminated soil exhibited Hg-resistance in vitro. Soil samples were collected from the rhizosphere of pioneer plants which grew naturally in areas contaminated with gold mine tailing. The fungi’s capacity for Hg-resistance was confirmed by their better growth in chloramphenicol-boosted potato dextrose agar media which contained various HgCl2 concentrations. Four isolates exhibited resistance of up to 25 mg kg−1 of Hg, and in an experiment with young Chinese cabbage (Brassica rapa L.) test plants, two fungi species (including Aspergillus) were demonstrated to increase the soil’s availability of Hg. The results suggest that Hg-resistant indigenous fungi can mobilize mercury in the soil and serve as potential bioremediation agents for contaminated agricultural land.
Climate Change Trends and Impacts on California Agriculture: A Detailed Review
Authors: Pathak Tapan , Maskey Mahesh , Dahlberg Jeffery , Kearns Faith , Bali Khaled , Zaccaria Daniele
Published: February 2018

California is a global leader in the agricultural sector and produces more than 400 types of commodities. The state produces over a third of the country’s vegetables and two-thirds of its fruits and nuts. Despite being highly productive, current and future climate change poses many challenges to the agricultural sector. This paper provides a summary of the current state of knowledge on historical and future trends in climate and their impacts on California agriculture. We present a synthesis of climate change impacts on California agriculture in the context of: (1) historic trends and projected changes in temperature, precipitation, snowpack, heat waves, drought, and flood events; and (2) consequent impacts on crop yields, chill hours, pests and diseases, and agricultural vulnerability to climate risks. Finally, we highlight important findings and directions for future research and implementation. The detailed review presented in this paper provides sufficient evidence that the climate in California has changed significantly and is expected to continue changing in the future, and justifies the urgency and importance of enhancing the adaptive capacity of agriculture and reducing vulnerability to climate change. Since agriculture in California is very diverse and each crop responds to climate differently, climate adaptation research should be locally focused along with effective stakeholder engagement and systematic outreach efforts for effective adoption and implementation. The expected readership of this paper includes local stakeholders, researchers, state and national agencies, and international communities interested in learning about climate change and California’s agriculture.
Geo-Proxy-Based Site Classification for Regional Zonation of Seismic Site Effects in South Korea
Authors: Sun Chang-Guk , Kim Han-Saem , Cho Hyung-Ik
Published: February 2018

Seismic site effects and topographic effects related to ground motion occur during an earthquake due to site-specific geotechnical or geological characteristics, including the geological or geographical structure and the characteristics of near-surface sub-soil layers. Site-specific site effects due to geological conditions have been confirmed in recent earthquake events. Earthquake-induced damage has mainly occurred at accumulated soft soil layers under basins or along coasts and rivers. An alternative method has recently been proposed for evaluating regional seismic site effects and amplification factors using digital elevation models (DEM). High-quality DEMs at high resolutions may be employed to resolve finer-scale variations in topographic gradients and consequently, correlated site response parameters. Because there are many regions in South Korea lacking borehole datasets, which are insufficient for site classification only using borehole datasets, a DEM-based proxy for seismic zonation can be effective. Thus, in this study, geo-proxy-based site classification was proposed based on empirical correlations with site response parameters and conducted for regional zonation of seismic site effects to identify the amplification of characteristics in the western metropolitan areas of South Korea, depending on the site-specific geo-spatial conditions.
Attosecond Time Delay in Photoionization of Noble-Gas and Halogen Atoms
Authors: Pi Liang-Wen , Landsman Alexandra
Published: February 2018

Ultrafast processes are now accessible on the attosecond time scale due to the availability of ultrashort XUV laser pulses. Noble-gas and halogen atoms remain important targets due to their giant dipole resonance and Cooper minimum. Here, we calculate photoionization cross section, asymmetry parameter and Wigner time delay using the time-dependent local-density approximation (TDLDA), which includes the electron correlation effects. Our results are consistent with experimental data and other theoretical calculations. The asymmetry parameter provides an extra layer of access to the phase information of the photoionization processes. We find that halogen atoms bear a strong resemblance on cross section, asymmetry parameter and time delay to their noble-gas neighbors. Our predicted time delay should provide a guidance for future experiments on those atoms and related molecules.
Improvement of RF Wireless Power Transmission Using a Circularly Polarized Retrodirective Antenna Array with EBG Structures
Authors: Trinh-Van Son , Lee Jong , Yang Youngoo , Lee Kang-Yoon , Hwang Keum
Published: February 2018

This paper presents the performance improvement of a circularly polarized (CP) retrodirective array (RDA) through the suppression of mutual coupling effects. The RDA is designed based on CP Koch-shaped patch antenna elements with an inter-element spacing as small as 0.4 λ for a compact size ( λ is the wavelength in free space at the designed frequency of 5.2 GHz). Electromagnetic band gap (EBG) structures are applied to reduce the mutual coupling between the antenna elements, thus improving the circular polarization characteristic of the RDA. Two CP RDAs with EBGs, in the case 5 × 5 and 10 × 10 arrays, are used as wireless power transmitters to transmit a total power of 50 W. A receiver is located at a distance of 1 m away from the transmitter to harvest the transmitted power. At the broadside direction, the simulated results demonstrate that the received powers are improved by approximately 11.32% and 12.45% when using the 5 × 5 and 10 × 10 CP RDAs with the EBGs, respectively, as the transmitters.
Flexural Performance of Transparent Plastic Bar Reinforced Concrete
Authors: Kim Byoungil , Han Yoon-Jung
Published: February 2018

In this study, experiments were conducted to derive a mix design for improving the flexural performance of light transparent concrete, which is attracting much attention and interest as an interior and exterior material for buildings, so that it could be easily applied in the field as a non-structural element by securing a lightweight, workability, and economic efficiency through the improvement of the concrete mix design and the use of economical materials for promoting its practical use. It was found that the mixing of polyvinyl alcohol (PVA) fiber was effective in improving the consistency by preventing the aggregate from floating due to the mixing of lightweight aggregate with a low specific gravity. The flexural performance test results showed that the load transfer factor (LTF) from the concrete matrix to the fiber was highest in the test specimens without plastic bars, followed by those with 5 and 10 mm plastic bars, respectively.