bluuebunny/crossref_metadata_2025 huggingface dataset:
Una aproximación amistosa con la historia a la competitividad de los departamentos y a las disparidades regionales en Colombia
Authors: Cataño Rojas José Gabriel
Published: August 2017

Desde hace algún tiempo, algunas organizaciones especializadas han venido publicando informes sobre la competitividad de los departamentos colombianos, en los que se destaca, en primer lugar, la existencia de grandes disparidades en sus niveles de competitividad, las cuales no sólo se han conservado, sino que, incluso, se han ampliado; y, en segundo lugar, que en las mediciones son unos mismos departamentos los que ocupan una y otra vez las mejores y peores posiciones, lo que parece configurar una situación estructural. Particularmente, estos informes han destacado la posición de liderazgo de Antioquia –aunque significativamente después de Bogotá/ Cundinamarca–, pero no se han ocupado demasiado en interpretar el fenómeno, ciñéndose a cuantificarlo y describirlo. Dado que los indicadores de competitividad departamental se correlacionan positivamente con el nivel relativo de desarrollo de los departamentos y sus políticas de gestión, en este artículo se ofrece un Modelo Amistoso con la Historia para interpretar los niveles de competitividad de los departamentos colombianos, particularmente el nivel alcanzado por Antioquia.
Modelos de gestión energética: revisión de algunas experiencias internacionales y perspectivas para Colombia
Authors: Vanegas López Juan Gabriel , Cataño Rojas José Gabriel
Published: August 2017

En este artículo se analizan algunos modelos internacionales de gestión energética y su aún incipiente relación con los adoptados en Colombia en años recientes. Para ello se comparan los llamados enfoques top-down, bottom-up e híbrido de eficiencia energética: las diferencias, ventajas y desventajas, que tienen frente a las perspectivas de una mejor gestión de la energía en el país. El artículo se inspira en un estudio recientemente concluido sobre la eficiencia energética en empresas de pequeño tamaño de Medellín, que llevó a sus autores a preguntarse por modelos de gestión energética usados en otros países del mundo.
Conceptualizando el diálogo entre cultura y aprendizaje organizacional
Authors: Rostro Hernández Perla Esperanza , Solís Hernández Oliva
Published: August 2017

En la revisión de las investigaciones actuales, se ha discutido cómo es que una organización genera una dinámica de competitividad diferente a otra, vinculándose con la capacidad de aprender. Se han discutido ampliamente aspectos ontológicos y epistemológicos de aprendizaje organizacional, materializándose en la praxis que lleva a la gestión del conocimiento, sin embargo es esencial enfatizar el papel que tiene el enfoque sociocultural en el desarrollo de estrategias más adecuadas para inducir procesos de aprendizaje en las organizaciones. El presente artículo revisa, analiza y propone algunas posibles conexiones entre los constructos de aprendizaje y cultura organizacional, como base para la gestión de conocimiento, reconociendo a la organización como unidad de difusión de conocimiento.
Imagining Foucault. On the digital subject and “visual citizenship”
Authors: Krasmann Susanne
Published: August 2017

One of the most exciting features in Foucault’s work is his analytics of power in terms of forms of visibility. It allows for a reflection on the conditions of seeing and thinking, thus triggering a seemingly paradoxical move: locating the limits of our perspectives entails simultaneously transgressing these limits. In a way, we decipher our own blind spot. Approaching Discipline and Punish through this perspective brings us to identify the digital subject as a characteristic figure of our time. In contrast to its disciplinarian counterpart, it appears to be an active, though not necessarily political subject. The notion of visual citizenship will help us to go a step further and figure out what it could mean to challenge today’s surveilling gaze.
Opening Black Boxes Is Not Enough – Data-based Surveillance In Discipline and Punish And Today
Authors: Matzner Tobias
Published: August 2017

Discipline and Punish analyzes the role of collecting, managing, and operationalizing data in disciplinary institutions. Foucault’s discussion is compared to contemporary forms of surveillance and security practices using algorithmic data processing. The article highlights important similarities and differences regarding the way data processing plays a part in subjectivation. This is also compared to Deleuzian accounts and Foucault’s later discussion in Security, Territory, Population. Using these results, the article argues that the prevailing focus on transparency and accountability in the discussion of algorithmic applications needs to be amended with a perspective on different forms of subjectivity and ensuing power relations.
Queer Theory, Sex Work, and Foucault’s Unreason
Authors: Beloso Brooke M.
Published: August 2017

During the late nineties, leading voices of the sex worker rights movement began to publicly question queer theory’s virtual silence on the subject of prostitution and sex work. However, this attempt by sex workers to “come out of the closet” into the larger queer theoretical community has thus far failed to bring much attention to sex work as an explicitly queer issue. Refusing the obvious conclusion—that queer theory’s silence on sex work somehow proves its insignificance to this field of inquiry—I trace in Foucault’s oeuvre signs of an alternate (albeit differently) queer genealogy of prostitution and sex work. Both challenging and responding to long-standing debates about prostitution within feminist theory, I offer a new queer genealogy of sex work that aims to move beyond the rigid oppositions that continue to divide theorists of sexuality and gender. Focusing specifically on History of Madness (1961), Discipline and Punish (1975), and History of Sexuality Volume I (1976), I make the case for an alternate genealogy of sex work that takes seriously both the historical construction of prostitution and the lived experience of contemporary sex workers.
Association Between Adherence to Pharmacotherapy and Outcomes in Type 2 Diabetes: A Meta-analysis
Authors: Khunti Kamlesh , Seidu Samuel , Kunutsor Setor , Davies Melanie
Published: August 2017

OBJECTIVE

A previous study suggests an association between poor medication adherence and excess mortality in chronic disease. The purpose of this study was to assess the association between medication adherence and risk of cardiovascular disease (CVD), all-cause mortality, and hospitalization in type 2 diabetes.

RESEARCH DESIGN AND METHODS

We conducted an electronic search on many electronic databases from inception to 27 April 2016. We selected randomized controlled trials and case-control and cohort studies reporting on CVD, all-cause mortality, or hospitalization outcomes by adherence in adults with type 2 diabetes. Two reviewers independently screened for eligible studies and extracted outcome data. Pooled relative risks (RRs) were calculated using a random-effects meta-analysis; risk of bias in each of the included studies was assessed using the GRADE approach.

RESULTS

Eight observational studies were included (n = 318,125). The mean rate of poor adherence was 37.8% (95% CI 37.6–38.0). Adjusted estimates were provided by five studies only. The RRs of good (≥80%) versus poor adherence to medication were 0.72 (95% CI 0.62–0.82, I2 = 0%, three studies) for all-cause mortality and 0.90 (0.87–0.94, I2 = 63%, seven studies) for hospitalization. No evidence of small study bias was observed. Only one study reported CVD outcomes by adherence.

CONCLUSIONS

We identified no trials reporting on outcomes by adherence, suggesting a systematic failure to include this information. Pooled estimates from available observational studies suggest that good medication adherence is associated with reduced risk of all-cause mortality and hospitalization in people with type 2 diabetes, although bias cannot be excluded as an explanation for these findings.
تجديد تعليم اللغة العربية وعلاقته بالعلوم الأخرى ( دراسة تحليلية عن تجديد نظريات تعليم اللغة العربية )
Authors: Rusdi Rusdi
Published: August 2017

التجديد هو تنظيم العناصر التعليمية مرة أخرى في التربية، ساهمت النظرية السلوكية في بناء مفهوم جديد للتعلم ركز على سلوك المتعلم والظروف التي يحدث في ظلها التعلم، حيث تغير ارتباط مفهوم التعليم في إحدى مراحل تطوره من المثيرات إلى السلوك المعزز، فهذه المرحلة تؤكد ضرورة استخدام الأدوات لمساعدة المعلم على التعزيز بدل الاكتفاء بالإلقاء، لأن المعلم غير قادر على تحقيق هذا التعزيز لوحده، وتساعده تقنية التعليم بشكل كبير في خلق هذا التعزيز وتنميته تربويا. وقد تم تضمين معالجات مختلفة في تفسير التعلم من وجهة النظر المعرفية، وكل ذلك التقليب، والمعالجة، والتدوير كان بهدف الإلمام بأساليب تفسير التعلم من وجهة نظر معرفية، وإن ذلك يسهم في فهم مواقف التعلم الصفية المعاصرة، وإعداد المواد المعرفية بطريقة مناسبة تناسب كل الطلبة في الصف. وقد تم تضمين تطبيقات بسيطة لكل اتجاه من الاتجاهات المعرفية الفرعية لجعل التعلم حيوياً، واحترام فردية المتعلم وتفكيره، وقد تمت صياغة الأفكار بلغة بسيطة لكي تصل إلى فهم كل متعلم ومتخصص في المجال
Galdós y el krausismo español
Authors: Gómez-Martínez José Luis
Published: August 2017

En este número no se incluyeron resúmenes ni palabras clave.
Un tipo de sintagma nominal. Divertimento para dúo (ambas y las dos)
Authors: García Fajardo Josefina , Radelli Bruna
Published: August 2017

En este número no se incluyeron resúmenes ni palabras clave.
Ottmar Hegyi, Cinco leyendas y otros relatos moriscos. (Ms. 4953 de la Biblioteca Nacional de Madrid). Gredos, Madrid, 1981; 387 pp.
Authors: López Baralt Luce
Published: August 2017

Se reseñó el libro: Cinco leyendas y otros relatos moriscos.
Herrera y Pontano: la métrica en las "Anotaciones"
Authors: Alcina Rovira Juan F.
Published: August 2017

En este número no se incluyeron resúmenes ni palabras clave.
Antonio Heredia Soriano, Política docente y filosofía oficial en la España del siglo XIX. La era isabelina (1833-1868). Ediciones Universidad de Salamanca, Salamanca, 1982; 440 pp.
Authors: Gómez-Martínez José Luis
Published: August 2017

Se reseñó el libro: Política docente y filosofía oficial en la España del siglo XIX. La era isabelina (1833-1868).
Al margen de los "Caprichos": las 'explicaciones' manuscritas
Authors: Andioc René
Published: August 2017

En este número no se incluyeron resúmenes ni palabras clave.
Síndrome de Werdnig-Hoffman: aspectos patológicos e os saberes da enfermagem
Authors: Peixoto Kades Márcia Gisele , Silvano de Aquino Maria Eduarda , Pereira de Souza Laurindo
Published: August 2017

Objetivou-se descrever a Síndrome de Werdnig-Hoffmann, suas características funcionais, e o conhecimento dos profissionais de enfermagem diante do paciente portador de SWH. Trata-se de um estudo descritivo de revisão bibliográfica, produzida entre os anos de 2005 a 2016. Os dados foram coletados em revistas e periódicos disponíveis na internet, através de busca em base de dados indexadas na BVS: LILACS, SCIELO e ARCA (Repositório Institucional da FioCruz). A pesquisa revelou clinicamente que as Atrofias Musculares Espinhais (AME) compreendem quatro patologias classificadas de acordo com a idade de aparecimento dos sintomas e o grau do comprometimento motor. O tipo 1, denominado AME Infantil ou Síndrome de Werdnig-Hoffmann, objeto deste estudo, apresenta-se como forma mais grave da doença, manifesta-se precocemente entre o período pré-natal e os seis meses de vida ou imediatamente após o nascimento e caracteriza-se por grave comprometimento motor e respiratório. O estudo concluiu que a enfermagem tem papel relevante na abordagem do paciente portados de SWH, seja hospitalizado ou prestando cuidados e orientações em domicilio.
Os benefícios da livre movimentação no parto para alívio da dor
Authors: Silva Amanda Marques da , Silva Cecília Felipe Abreu da , Barros Juliana da Silva , Lima Karen Branco Costa de , Lima Pamela Carnavali de , Maia Janize Silva , Maia Luiz Faustino dos Santos
Published: August 2017

O parto é uma experiência significativa na vida das mulheres. A dor presente do parto é intensificada pelo medo, tensão da musculatura e ansiedade, resultando na sensação de desconforto. Este trabalho tem como objetivo descrever os benefícios da livre movimentação para alívio da dor no parto. Trata-se de uma revisão integrativa de artigos publicados durante 2010 e 2016. A assistência de saúde ao parto quando desenvolvida com excesso de práticas intervencionistas repercutem de forma muito negativa na evolução do parto. A deambulação é um meio simples, no entanto, efetivo no processo de parturição. Dentre seus principais benefícios estão: diminuição da dor; redução do tempo de parto; redução de intervenções médicas; redução do tempo da dilatação do colo e humanização do parto. O parto normal não precisa ser uma experiência desagradável em função da dor. Os profissionais envolvidos na assistência ao parto devem ser disseminadores da prática da deambulação para a promoção da saúde materno-fetal.
Importância do procedimento banho no leito para atendimento em enfermagem
Authors: Ramos Lôbo Clariane , Almeida Saraiva Tatiane Lopes de
Published: August 2017

Banho no leito é o procedimento realizado em qualquer paciente que tenha dificuldade de locomoção, processo esse que retira toda a sujeira acumulada pelo paciente acamado. O objetivo do presente estudo foi avaliar a importância da técnica do banho no leito na percepção dos profissionais de saúde nos achados literários. Métodos: Trata-se de uma revisão da literatura que buscou avaliar a importância da técnica do banho no leito na percepção dos profissionais de saúde. Resultados: Estudos lidos e relatados demonstram que pode haver alguma resistência na realização do cuidado por parte dos pacientes e dos enfermeiros e que esse momento auxilia no processo de humanização. Conclusão: Ainda é mistificado o assunto do banho no leito, embora seja parte dos cuidados de Enfermagem, é preciso que o tema seja abordado mais amplamente e com mais naturalidade pelos enfermeiros que o supervisionam, coordenam e participam.
PROFIL ASAM LEMAK DAGING BABI BALI ASLI DAN BABI LANDRACE
Authors: N. L. P Sriyani , Rasna M. A. , Ariana I N. T. , Puger A. W.
Published: August 2017

Tujuan penelitian ini adalah untuk mengetahui perbedaan profil lemak hewani dari dua jenis daging babi daribangsa (breed) yang berbeda yaitu babi bali asli (babi lokal) dan babi landrace (babi ras). Penelitian ini dilaksanakandengan mengambil beberapa sampel daging babi bali dan babi Landrace. Daging yang diambil bersumber daridaging yang dijual di Rumah Potong Hewan Tradisional yang berlokasi di Banjar Pegending, Desa Dalung KutaUtara. Selanjutnya sampel daging dianalisis profil asam lemaknya dengan metode Gas Cromatografi di LaboratoriumTerpadu IPB Bogor. Hasil dari penelitian ini menunjukkan bahwa profil asam lemak penyusun daging babi bali aslimaupun daging babi landrace terdiri dari 10 asam lemak jenuh (Saturated Fatty Acids/SFA) yaitu asam caprik,asam laurat, asam miristat, asam pentadecanoat, asam palmitat, asam heptadecanoat, asam stearat, asam arachidat,asam behenik, asam caprilic, empat jenis asam lemak tidak jenuh tunggal (Mono Unsatured Fatty Acids/MUFA)yaitu asam palmitoleat, asam oleat, asam erucic, asam eiucosenoic dan 2 jenis asam lemak tak jenuh ganda (PollyAnsatured Fatty Acids/PUFA) yaitu asam linoleat, asam eicosedienoic.

Kata kunci: profil asam lemak, daging babi bali, dan babi landrace
PENINGKATAN PRODUKTIVITAS KAMBING GEMBRONG YANG TERANCAM PUNAH MELALUI SUPLEMENTASI MULTI VITAMIN-MINERAL DALAM RANSUM BERBASIS HIJAUAN LOKAL
Authors: Putri Tjokorda Istri , Dewantari Made
Published: August 2017

Penelitian ini bertujuan untuk meningkatkan produktivitas kambing gembrong yang terancam punah melaluisuplementasi multi vitamin-mineral dalam ransum berbasis hijauan lokal. Penelitian dilakukan di SentraPenangkaran di desa Tumbu Kab. Karangasem Bali menggunakan 10 ekor kambing gembrong yang sedangtumbuh. Ada dua perlakuan yang digunakan dalam penelitian ini yaitu ransum kontrol berbasis hijauan lokal tanpasuplementasi dan ransum berbasis hijauan lokal dengan suplementasi multi vitamin-mineral. Peubah yang diamatimeliputi konsumsi nutrien ransum, sintesis protein mikroba rumen, pertambahan berat badan, dan efisiensipemanfaatan ransum (feed Conversion Ratio = FCR). Data yang diperoleh dianalisis dengan uji T pada probabilitas5%. Hasil penelitian menunjukkan bahwa suplementasi vitamin dan mineral berpengaruh tidak nyata (P>0,05)terhadap konsumsi bahan kering, protein kasar, lemak kasar, serat kasar dan energi ransum, tetapi suplementasivitamin dan mineral nyata (P<0,05) meningkatkan efisiensi pemanfaatan ransum (nilai FCR lebih rendah) danmeningkatkan pertambahan bobot hidup ternak sebesar 17,81%. Dari hasil penelitian dapat disimpulkan bahwasuplementasi vitamin dan mineral dalam ransum berbasis hijauan lokal dapat meningkatkan efisiensi pemanfaatanransum dan pertambahan bobot hidup kambing gembrong sebesar 17,81%.

Kata kunci: kambing gembrong, punah, suplementasi, hijauan local
PERBANDINGAN TRANSFORMASI BOX-COX DAN REGRESI KUANTIL MEDIAN DALAM MENGATASI HETEROSKEDASTISITAS
Authors: CAHYANI NI WAYAN YUNI , SRINADI I GUSTI AYU MADE , SUSILAWATI MADE
Published: August 2017

Ordinary least square (OLS) is a method that can be used to estimate the parameter in linear regression analysis. There are some assumption which should be satisfied on OLS, one of this assumption is homoscedasticity, that is the variance of error is constant. If variance of the error is unequal that so-called heteroscedasticity. The presence heteroscedasticity can cause estimation with OLS becomes inefficient. Therefore, heteroscedasticity shall be overcome. There are some method that can used to overcome heteroscedasticity, two among those are Box-Cox power transformation and median quantile regression. This research compared Box-Cox power transformation and median quantile regression to overcome heteroscedasticity. Applied Box-Cox power transformation on OLS result ????2point are greater, smaller RMSE point and confidencen interval more narrow, therefore can be concluded that applied of Box-Cox power transformation on OLS better of median quantile regression to overcome heteroscedasticity.
KAJIAN TERHADAP TINGKAT PEMERATAAN PENDIDIKAN MENGGUNAKAN ANALISIS BIPLOT KLASIK DAN BIPLOT KEKAR
Authors: KUSUMAYANTI NI LUH ARDILA , SUKARSA I KOMANG GDE , OKA TJOKORDA BAGUS , N. KENCANA I PUTU EKA
Published: August 2017

The aim of this research is to find the better from classical and robust biplot in determine dominant indicators of educational equity in Bali, NTB and NTT Provinces. This research based on secondary data obtain from Central Bureau of Statistics for year 2012/2013. Educational equity was portraited by Classical and Robust Biplot. The results of this research showed Robust Biplot is better method which goodness of fit is 90,64% meanwhile Classical Biplot as much as 83,62%. The Robust Biplot showed Students- Junior or Islamic Middle School Ratio and Students-Senior or Islamic High School were dominant indicators to educational equity in Bali,  NTB and NTT Provinces.
ANALISIS KOINTEGRASI JUMLAH WISATAWAN, INFLASI, DAN NILAI TUKAR TERHADAP PRODUK DOMESTIK REGIONAL BRUTO (PDRB) PROVINSI BALI
Authors: JIWA ATMAJA MADE ARISTIAWAN , N. KENCANA I PUTU EKA , GANDHIADI G. K.
Published: August 2017

This paper aimed to determine long-run equilibrium the tourist arrivals, inflation, exchange rate and gross domestic regional product (GDRP) of Bali Province used Johansen’s cointegration test. First examined whether each stationary variables using augmented dickey fuller (ADF) test. ADF test showed GDRP of Bali, tourist arrivals, and exchange rate are not stationary, so it is assumed stationary in first lag or I(1). While inflation is stationary in level or I(0). Johansen’s cointegration test showed the tourist arrivals, inflation, exchange rate and GDRP of Bali are not cointegrated. Notice that there is no long-run equilibrium, it can not be concluded for structural equation models.
ANALISIS PERILAKU MASYARAKAT DALAM MEMILIH MEREK HANDPHONE DENGAN MENGGUNAKAN ANALISIS FAKTOR (Studi Kasus Mahasiswa Universitas Udayana)
Authors: RANTASARI SANG AYU PUTRI INDRIA , SUCIPTAWATI NI LUH PUTU , TASTRAWATI NI KETUT TARI
Published: August 2017

The purpose of this study is to determine factors that influence consumer’s decisions to choose a brand of mobile phone and to determine the dominant factor influencing consumer’s decision in choosing brand of mobile phone. The method used is factor analysis. Factor analysis is one part of the analysis of several variables that are used to reduce the data, which is a process to summarize a number of independent variables associated with the factors named mapped or grouped into a new variable. The results showed that there are seven factors that influence consumers to choose the brand of mobile phone: the quality factor, brand, features, product durability, shape or model, price, and warranty. While among the seven factors, the quality factor is a dominant factors that affect consumers to choose brand of mobile phone.
ANALISIS MODEL REGRESI NONPARAMETRIK SIRKULAR-LINEAR BERGANDA
Authors: IVAN KOMANG CANDRA , SUMARJAYA I WAYAN , SUSILAWATI MADE
Published: August 2017

Circular data are data which the value in form of vector is circular data. Statistic analysis that is used in analyzing circular data is circular statistics analysis. In regression analysis, if any of predictor or response variables or both are circular then the regression analysis used is called circular regression analysis. Observation data in circular statistic which use direction and time units usually don’t satisfy all of the parametric assumptions, thus making nonparametric regression as a good solution. Nonparametric regression function estimation is using epanechnikov kernel estimator for the linier variables and von Mises kernel estimator for the circular variable. This study showed that the result of circular analysis by using circular descriptive statistic is better than common statistic. Multiple circular-linier nonparametric regressions with Epanechnikov and von Mises kernel estimator didn’t create estimation model explicitly as parametric regression does, but create estimation from its observation knots instead.
MENENTUKAN PORTOFOLIO OPTIMAL MENGGUNAKAN MODEL CONDITIONAL MEAN VARIANCE
Authors: NISCAHYANA I GEDE ERY , DHARMAWAN KOMANG , WIDANA I NYOMAN
Published: August 2017

When the returns of stock prices show the existence of autocorrelation and heteroscedasticity, then conditional mean variance models are suitable method to model the behavior of the stocks. In this thesis, the implementation of the conditional mean variance model to the autocorrelated and heteroscedastic return was discussed. The aim of this thesis was to assess the effect of the autocorrelated and heteroscedastic returns to the optimal solution of a portfolio. The margin of four stocks, Fortune Mate Indonesia Tbk (FMII.JK), Bank Permata Tbk (BNLI.JK), Suryamas Dutamakmur Tbk (SMDM.JK) dan Semen Gresik Indonesia Tbk (SMGR.JK) were estimated by GARCH(1,1) model with standard innovations following the standard normal distribution and the t-distribution.  The estimations were used to construct a portfolio. The portfolio optimal was found when the standard innovation used was t-distribution with the standard deviation of 1.4532 and the mean of 0.8023 consisting of 0.9429 (94%) of FMII stock, 0.0473 (5%) of  BNLI stock, 0% of SMDM stock, 1% of  SMGR stock.
IMPLEMENTASI ALGORITMA CAT SWARM OPTIMIZATION DALAM MENYELESAIKAN JOB SHOP SCHEDULING PROBLEM (JSSP)
Authors: APRIANA I WAYAN RADIKA , TASTRAWATI NI KETUT TARI , SARI KARTIKA
Published: August 2017

Cat Swarm Optimization (CSO) algorithm is a metaheuristic algorithm which is based on two behaviors of cat, seeking and tracing. CSO algorithm is used in solving optimization problems. One of the optimization problems which can be seen in daily life is Job Shop Scheduling Problem (JSSP). This study aimed to observe the performance of CSO algorithm in solving JSSP. This study focused on 5 job-12 machine cases. According to this study, CSO algorithm was effective in solving real case of JSSP in 5 jobs – 12 machines scheduling at CV Mitra Niaga Indonesia agriculture tools industry. In implementing CSO algorithm in JSSP, a correct parameter choosing could lead to an optimal result. On other hand, the greater the number of jobs or machines the more complex and difficult the JSSP that needed to be solved.
PERAMALAN JUMLAH KUNJUNGAN WISATAWAN AUSTRALIA YANG BERKUNJUNG KE BALI MENGGUNAKAN MODEL TIME VARYING PARAMETER (TVP)
Authors: SUWEDAYANA I PUTU GEDE DIAN GERRY , SUMARJAYA I WAYAN , SUCIPTAWATI NI LUH PUTU
Published: August 2017

The purpose of this research is to forecast the number of Australian tourists arrival to Bali using Time Varying Parameter (TVP) model based on inflation of Indonesia and exchange rate AUD to IDR from January 2010 – December 2015 as explanatory variables. TVP model is specified in a state space model and estimated by Kalman filter algorithm. The result shows that the TVP model can be used to forecast the number of Australian tourists arrival to Bali because it satisfied the assumption that the residuals are distributed normally and the residuals in the measurement and transition equations are not correlated. The estimated TVP model is . This model has a value of mean absolute percentage error (MAPE) is equal to dan root mean square percentage error (RMSPE) is equal to . The number of Australian tourists arrival to Bali for the next five periods is predicted: ; ; ; ; and (January - May 2016).
IMPLEMENTASI BACKPROPAGATION NEURAL NETWORK DALAM PRAKIRAAN CUACA DI DAERAH BALI SELATAN
Authors: PUTRA I MADE DWI UDAYANA , GANDHIADI G. K. , HARINI LUH PUTU IDA
Published: August 2017

Weather information has an important role in human life in various fields, such as agriculture, marine, and aviation. The accurate weather forecasts are needed in order to improve the performance of various fields. In this study, use artificial neural network method with backpropagation learning algorithm to create a model of weather forecasting in the area of ??South Bali. The aim of this study is to determine the effect of the number of neurons in the hidden layer and to determine the level of accuracy of the method of artificial neural network with backpropagation learning algorithm in weather forecast models. Weather forecast models in this study use input of the factors that influence the weather, namely air temperature, dew point, wind speed, visibility, and barometric pressure.The results of testing the network with a different number of neurons in the hidden layer of artificial neural network method with backpropagation learning algorithms show that the increase in the number of neurons in the hidden layer is not directly proportional to the value of the accuracy of the weather forecasts, the increase in the number of neurons in the hidden layer does not necessarily increase or decrease value accuracy of weather forecasts we obtain the best accuracy rate of 51.6129% on a network model with three neurons in the hidden layer.
PENERAPAN METODE BINOMIAL TREE DALAM MENGESTIMASI HARGA KONTRAK OPSI TIPE AMERIKA
Authors: SARI I GUSTI AYU MITA ERMIA , DHARMAWAN KOMANG , OKA TJOKORDA BAGUS
Published: August 2017

Binomial tree is a method that can be used to determine price option contracts. In this method, the stock price movement is presented in the form of a  tree with each branch representing the probability of the stock price to move up or move down. The purpose of this paper was to determine the price of the options contracts with the American type on Binomial Tree method and compare the three methods that is variance matching, proportional , and risk neutral of determining the value of price option contracts used in Binomial Tree method with Black-Schole method. The result of this research was the value of the options contract using the variance matching more similar with the value of the Black-Scholes contract.
PENYELESAIAN MULTI TRAVELING SALESMAN PROBLEM DENGAN ALGORITMA GENETIKA
Authors: MAYULIANA NI KADEK , KENCANA EKA N. , HARINI LUH PUTU IDA
Published: August 2017

Genetic algorithm is a part of heuristic algorithm which can be applied to solve various computational problems. This work is directed to study the performance of the genetic algorithm (GA) to solve Multi Traveling Salesmen Problem (multi-TSP). GA is simulated to determine the shortest route for 5 to 10 salesmen who travelled 10 to 30 cities. The performance of this algorithm is studied based on the minimum distance and the processing time required for 10 repetitions for each of cities-salesmen combination. The result showed that the minimum distance and the processing time of the GA increase consistently whenever the number of cities to visit increase. In addition, different number of sales who visited certain number of cities proved significantly affect the running time of GA, but did not prove significantly affect the minimum distance.
PENERAPAN ANALISIS KORELASI KANONIK PADA HUBUNGAN KUALITAS PELAYANAN TERHADAP KEPUASAN NASABAH
Authors: PRABAWA KADEK ANDREI , SUCIPTAWATI NI LUH PUTU , NILAKUSMAWATI DESAK PUTU EKA
Published: August 2017

Customer satisfaction is determined by the quality of customer service desired. Service quality of a company are important viewed from a consumer standpoint. The p
PENGARUH PANDANGAN ISLAM, PELAYANAN DAN KEAMANAN TERHADAP MINAT NASABAH UNTUK MENABUNG DI BANK SYARIAH MANDIRI CABANG X
Authors: Damayanti Sisca
Published: August 2017

Penelitian ini betujuan untuk mengetahui faktor-faktor apa saja yang  mempengaruhi minat nasabah dalam menabung di Bank Syariah Mandiri Cabang X. Variabel Indipenden yang digunakan adalah Keamanan, Pandangan Islam dan Pelayanan dan variabel dependen yang digunakan adalah Minat Nasabah Dalam Memutuskan Menabung di Bank Mandiri Syariah Cabang X.Penelitian ini menggunakan data primer melalui penyebaran kuesioner kepada nasabah Bank Syariah Mandiri Cabang X. Teknik analisa yang digunakan dalam penelitian ini adalah pendekatan deskriptif analis dan menggunakan metode Structural Equation Modeling (SEM).Hasil penelitian menunjukan adanya hubunga positif antara Keamanan, Pandangan Islam dan Pelayanan terhadap Minat nasabah dalam menabung. Tetapi variabel Pandangan Islam memiliki hubungan positif dan tidak signifikan.  Kata Kunci : Keamanan, Pandangan Islam, Pelayanan dan Minat Nasabah Dalam Memutuskan Menabung
Road Safety for an Aged Society: Compliance with Traffic Regulations, Knowledge About Traffic Regulations, and Risk Factors of Older Drivers
Authors: Kim Sungyop , Kim Joon-Ki
Published: August 2017

This study investigated compliance of traffic regulations, knowledge about traffic regulations, and risk factors, including road geometrics and conditions and other drivers and road users, of older drivers (65+) compared with younger drivers (middle-aged drivers ages 35 to 64 and young drivers ages 19 to 34) on the basis of a self-reporting survey of active drivers in Seoul, South Korea. The analysis included 978 survey samples. The results showed that older drivers in general had patterns of compliance and knowledge of traffic regulations and driving risk factors similar to those of younger drivers. Stopping at stop signs was reported as the least complied traffic regulation for older (71.9%), middle-aged (78.2%), and young (74.6%) drivers. Furthermore, less than 15% of drivers in all age groups failed to demonstrate correct understanding on a flashing red light. However, this study found some statistically significant differences between driver age groups in compliance to traffic regulations, knowledge about traffic regulations, and risk factors. Older drivers were less likely than younger drivers to use cell phones and digital multimedia broadcasting devices while driving and to know the right-of-way associated with the order of access at uncontrolled intersections. In addition, older drivers were more likely to report small radii of intersection curbs as a driving risk factor. These findings have substantive implications in promoting older drivers’ safety in the areas of intersection design, road management, and safety education in an aged society.
Closed-Course Study to Examine the Effect of Alcohol Impairment on a Driver’s Ability to Identify and Read Signs
Authors: Finley Melisa D. , Miles Jeffrey D. , Park Eun Sug
Published: August 2017

Because alcohol has been found to be the primary contributing factor in many wrong-way crash studies, researchers at Texas A&M Research Institute conducted a nighttime closed-course study to investigate the behaviors of alcohol-impaired drivers and determine their interpretations of various traffic control devices. Researchers found that alcohol-impaired drivers tended to look less to the left and right and more toward the pavement in front of the vehicle. In addition, researchers confirmed that alcohol-impaired drivers did not actively search the forward-facing scene as much as nonimpaired drivers. Instead, alcohol-impaired drivers concentrated their glances in a smaller area within the forward-facing scene. Researchers also confirmed that drivers at higher blood alcohol concentration levels took longer to locate signs and had to be closer to a sign before they could identify the sign background color and read the sign legend. In addition, alcohol-impaired drivers had to be closer to signs with flashing red LEDs around the border before they could read the legend compared with signs without flashing LEDs.
Improving PM2.5 Air Quality Model Forecasts in China Using a Bias-Correction Framework
Authors: Lyu Baolei , Zhang Yuzhong , Hu Yongtao
Published: August 2017

Chinese cities are experiencing severe air pollution in particular, with extremely high PM2.5 levels observed in cold seasons. Accurate forecasting of occurrence of such air pollution events in advance can help the community to take action to abate emissions and would ultimately benefit the citizens. To improve the PM2.5 air quality model forecasts in China, we proposed a bias-correction framework that utilized the historic relationship between the model biases and forecasted and observational variables to post-process the current forecasts. The framework consists of four components: (1) a feature selector that chooses the variables that are informative to model forecast bias based on historic data; (2) a classifier trained to efficiently determine the forecast analogs (clusters) based on clustering analysis, such as the distance-based method and the classification tree, etc.; (3) an error estimator, such as the Kalman filter, to predict model forecast errors at monitoring sites based on forecast analogs; and (4) a spatial interpolator to estimate the bias correction over the entire modeling domain. One or more methods were tested for each step. We applied five combinations of these methods to PM2.5 forecasts in 2014–2016 over China from the operational AiMa air quality forecasting system using the Community Multiscale Air Quality (CMAQ) model. All five methods were able to improve forecast performance in terms of normalized mean error (NME) and root mean square error (RMSE), though to a relatively limited degree due to the rapid changing of emission rates in China. Among the five methods, the CART-LM-KF-AN (a Classification And Regression Trees-Linear Model-Kalman Filter-Analog combination) method appears to have the best overall performance for varied lead times. While the details of our study are specific to the forecast system, the bias-correction framework is likely applicable to the other air quality model forecast as well.
Myoclonic Disorders
Authors: Eberhardt Olaf , Topka Helge
Published: August 2017

Few movement disorders seem to make a straightforward approach to diagnosis and treatment more difficult and frustrating than myoclonus, due to its plethora of causes and its variable classifications. Nevertheless, in recent years, exciting advances have been made in the elucidation of the pathophysiology and genetic basis of many disorders presenting with myoclonus. Here, we provide a review of all of the important types of myoclonus encountered in pediatric and adult neurology, with an emphasis on the recent developments that have led to a deeper understanding of this intriguing phenomenon. An up-to-date list of the genetic basis of all major myoclonic disorders is presented. Randomized studies are scarce in myoclonus therapy, but helpful pragmatic approaches at diagnosis as well as treatment have been recently suggested.
Combustion and Heat Release Characteristics of Biogas under Hydrogen- and Oxygen-Enriched Condition
Authors: Li Jun , Huang Hongyu , Huhetaoli  , Osaka Yugo , Bai Yu , Kobayashi Noriyuki , Chen Yong
Published: August 2017

Combustion and heat release characteristics of biogas non-premixed flames under various hydrogen-enriched and oxygen-enriched conditions were investigated through chemical kinetics simulation using detailed chemical mechanisms. The heat release rates, chemical reaction rates, and molar fraction of all species of biogas at various methane contents (35.3–58.7%, mass fraction), hydrogen addition ratios (10–50%), and oxygen enrichment levels (21–35%) were calculated considering the GRI 3.0 mechanism and P1 radiation model. Results showed that the net reaction rate of biogas increases with increasing hydrogen addition ratio and oxygen levels, leading to a higher net heat release rate of biogas flame. Meanwhile, flame length was shortened with the increase in hydrogen addition ratio and oxygen levels. The formation of free radicals, such as H, O, and OH, are enhanced with increase in hydrogen addition ratio and oxygen levels. Higher reaction rates of exothermic elementary reactions, especially those with OH free radical are increased, are beneficial to the improvement in combustion and heat release characteristics of biogas in practical applications.
Enhanced Production of Bioethanol by Fermentation of Autohydrolyzed and C4mimOAc-Treated Sugarcane Bagasse Employing Various Yeast Strains
Authors: Hashmi Muzna , Shah Aamer , Hameed Abdul , Ragauskas Arthur
Published: August 2017

This study examines the fermentation of autohydrolyzed and 1-n-butyl-3-methylimidazolium acetate (C4mimOAc) pretreated sugarcane bagasse, using four different yeast strains to determine the efficiency of bioethanol production. Three strains of Saccharomyces cerevisiae (S. cerevisiae) and one of Scheffersomyces stipitis (S. stipitis) were employed in this study. It was observed that the sugarcane bagasse autohydrolyzed at 205 °C for 6 min with subsequent enzymatic hydrolysis exhibited the maximum ethanol yield of 70.92 ± 0.09 mg/g-substrate when S. cerevisiae MZ-4 was used. However, a slightly higher ethanol yield of 78.78 ± 0.94 mg/g-substrate was obtained from C4mimOAc pretreated bagasse employing S. cerevisiae MZ-4. The study showed that the newly isolated MZ-4 strain exhibited better ethanol yield as compared to commercially available yeast strains S. cerevisiae Uvaferm-43, S. cerevisiae Lalvin EC-1118, and S. stipitis.
A Review of Carbon Forest Development in China
Authors: Zhou Wei , Gong Peichen , Gao Lan
Published: August 2017

This paper provides an overview of China’s climate mitigation policy related to the forestry sector, with a special focus on the development of carbon forests which are established to mitigate climate change. A total of 3.5 million ha of carbon forest were planted in the past decade. In recent years, the number of Voluntary Emission Reduction forest carbon projects has increased rapidly. The main challenges for future development of carbon forests under market mechanisms include increasing costs, uncertainty in the future supply and demand for China-certified emission reduction, and potential disputes between households and project developers.
The Brazil–Argentina Gemini Group for the Study of Globular Cluster Systems (BAGGs GCs): FLAMINGOS-2 and GMOS Data for NGC 1395
Authors: Faifer Favio , Escudero Carlos , Smith Castelli Analía , Forte Juan , Sesto Leandro , Chies Santos Ana , Cortesi Arianna , Mendes de Oliveira Claudia
Published: August 2017

In this letter, we present preliminary results of the analysis of Flamingos-2 and GMOS-S photometry of the globular cluster (GC) system of the elliptical galaxy NGC 1395. This is the first step of a long-term Brazilian–Argentinian collaboration for the study of GC systems in early-type galaxies. In the context of this collaboration, we obtained deep NIR photometric data in two different bands (J and K s), which were later combined with high quality optical Gemini + GMOS photometry previously obtained by the Argentinian team. This allowed us to obtain different color indices, less sensitive to the effect of horizontal branch (HB) stars for several hundreds of GC candidates, and to make an initial assessment of the presence or absence of multiple GC populations in colors in NGC 1395.
Miniaturized Monitors for Assessment of Exposure to Air Pollutants: A Review
Authors: Borghi Francesca , Spinazzè Andrea , Rovelli Sabrina , Campagnolo Davide , Del Buono Luca , Cattaneo Andrea , Cavallo Domenico
Published: August 2017

Air quality has a huge impact on different aspects of life quality, and for this reason, air quality monitoring is required by national and international regulations. Technical and procedural limitations of traditional fixed-site stations for monitoring or sampling of air pollutants are also well-known. Recently, a different type of miniaturized monitors has been developed. These monitors, due to their characteristics (e.g., low cost, small size, high portability) are becoming increasingly important for individual exposure assessment, especially since this kind of instrument can provide measurements at high spatial and temporal resolution, which is a notable advantage when approaching assessment of exposure to environmental contaminants. The aim of this study is indeed to provide information regarding current knowledge regarding the use of miniaturized air pollutant sensors. A systematic review was performed to identify original articles: a literature search was carried out using an appropriate query for the search of papers across three different databases, and the papers were selected using inclusion/exclusion criteria. The reviewed articles showed that miniaturized sensors are particularly versatile and could be applied in studies with different experimental designs, helping to provide a significant enhancement to exposure assessment, even though studies regarding their performance are still sparse.
Endocytosis of Albumin Induces Matrix Metalloproteinase-9 by Activating the ERK Signaling Pathway in Renal Tubule Epithelial Cells
Authors: Chen Xiaoming , Cobbs Alyssa , George Jasmine , Chima Ashmeer , Tuyishime Fidele , Zhao Xueying
Published: August 2017

Matrix metalloproteinase-9 (MMP-9) is dysregulated in chronic kidney diseases including diabetic nephropathy. This study was performed to examine the expression of MMP-9 in renal tubule epithelial cells (TECs) under diabetic conditions and its regulatory mechanisms. We characterized MMP-9 protein in diabetic animals and primary cultured rat TECs exposed to exogenous albumin and high glucose. We also used specific inhibitors to determine if internalization of albumin and/or extracellular signal-regulated kinase 1/2 (ERK1/2) phosphorylation were required for MMP-9 secretion. Immunostaining of kidney sections revealed enhanced MMP-9 signal in the damaged proximal tubules in Zucker diabetic fatty (ZDF) rats. ZDF rats also exhibited an albuminuria-related and age-dependent increase in MMP-9 excretion, which was prevented by rosiglitazone. In primary cultured rat TECs, high glucose exposure did not increase MMP-9 secretion. In contrast, administration of rat serum albumin (RSA, 0.1–0.5 mg/mL) resulted in a dose-dependent increase in MMP-9 expression and secretion by TECs, which was abolished in the presence of an ERK1/2-specific inhibitor, U0126. Simvastatin, an inhibitor of albumin endocytosis, also prevented MMP-9 secretion. Taken together, these results demonstrate that endocytosis of albumin stimulates MMP-9 secretion by TECs through the ERK signaling pathway.
7-Dialkylaminocoumarin Oximates: Small Molecule Fluorescent “Turn-On” Chemosensors for Low-Level Water Content in Aprotic Organic Solvents
Authors: Cigáň Marek , Horváth Miroslav , Filo Juraj , Jakusová Klaudia , Donovalová Jana , Garaj Vladimír , Gáplovský Anton
Published: August 2017

The water sensing properties of two efficient two-component fluorescent “turn-on” chemo-sensors based on the 7-dialkylaminocoumarin oxime acid-base equilibrium were investigated. Interestingly, although simple frontier orbital analysis predicts an intramolecular photoinduced electron transfer quenching pathway in conjugated oximates, TD-DFT (Time-dependent density functional theory) quantum chemical calculations support non-radiative dark S1 excited state deactivation as a fluorescence quenching mechanism. Due to the acid-base sensing mechanism and sensitive “turn-on” fluorescent response, both studied coumarin aldoxime chemosensors exhibit rapid response to low-level water content in polar aprotic solvents, with detection limits comparable to chemodosimeters or chemosensors based on interpolymer π-stacking aggregation.
Two New Tetravacant Organometallic Keggin-Type Heteropolyoxomolybdates-Supported Manganese Carbonyl Derivatives
Authors: Singh Vikram , Zhang Yujiao , Yang Linping , Ma Pengtao , Zhang Dongdi , Zhang Chao , Yu Li , Niu Jingyang , Wang Jingping
Published: August 2017

Two novel heteropolyoxomolybdate [XMo8O31]n− (X = Ge(1) or P(2)) manganese carbonyl derivatives [(CH3)4N]6H6{MnII(GeMo8O31)[MnI(CO)3]2}2·12H2O (1) and [(CH3)4N]4H6{MnII(PMo8O31)[MnI(CO)3]2}2·14H2O (2), have been successfully synthesized and characterized in the solid state by single crystal X-ray diffraction, IR and thermogravimetric analysis, and in solution by UV-Vis spectroscopy and electrochemistry. The two polyoxomolybdate-based organometallic compounds 1 and 2 represent rare examples of transition metal sandwich-based polyoxometalate metal carbonyl derivatives (PMCDs), in which the organic-inorganic hybrids are composed of four Mn(CO)3+ groups symmetrically occupied the tetravacant sites of dimeric heteropolyoxomolybdate {Mn2(XMo8O31)2}n− through MnI-O-Mo bonds. The carbonyl functionalized Mn atoms are octahedrally coordinated via three μ2-oxygens of the [XMo8O31]n− unit and three carbonyl carbon atoms. Interestingly, 1 and 2 form a psedocuboidal ring Mn(CO)3Mo3O12 with {Mn(CO)3}+ occupying the three fold axis of the Mo3O12 octahedral triad. Beside this, the two centrally placed adjacent MnII atoms show intramolecular Mn∙∙∙Mn interactions of 3.11 and 3.16 Å in 1 and 2, respectively. Significant n→π* and O···O intermolecular interactions between the orthogonally aligned adjacent carbonyl groups through the overlap of lone-pair electrons on oxygen atoms with the antibonding orbital (π*) of the adjacent carbony carbon atom of the subsequent units in 1 and 2 were observed. The electrochemical properties of the two compounds were also been investigated.