bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimation of hydrological response to future climate change in a cold watershed
Authors: Sha Jian , Wang Zhong-Liang , Zhao Yue , Xu Yan-Xue , Li Xue
Published: July 2018

The vulnerability of the natural water system in cold areas to future climate change is of great concern. A coupled model approach was applied in the headwater watershed area of Yalu River in the northeastern part of China to estimate the response of hydrological processes to future climate change with moderate data. The stochastic Long Ashton Research Station Weather Generator was used to downscale the results of general circulation models to generate synthetic daily weather series in the 2050s and 2080s under various projected scenarios, which were applied as input data of the Generalized Watershed Loading Functions hydrological model for future hydrological process estimations. The results showed that future wetter and hotter weather conditions would have positive impacts on the watershed runoff yields but negative impacts on the watershed groundwater flow yields. The freezing period in winter would be shortened with earlier snowmelt peaks in spring. These would result in less snow cover in winter and shift the monthly allocations of streamflow with more yields in March but less in April and May, which should be of great concern for future local management. The proposed approach of the coupled model application is effective and can be used in other similar areas.
Assessment of climate change impact on flow regimes over the Gomti River basin under IPCC AR5 climate change scenarios
Authors: Abeysingha N. S. , Islam Adlul , Singh Man
Published: July 2018

Climate change impact on flow regimes in the Gomti River basin, India was studied using the Soil and Water Assessment Tool (SWAT) driven by climate change scenarios generated from multiple general circulation model (GCM) projections. The SWAT-CUP (SWAT-Calibration and Uncertainty Programs) was used for calibration and validation of SWAT using multi-site data. Climate change scenarios were generated from multiple GCM projections using the hybrid-delta ensemble method. Calibration of SWAT using the nine most sensitive parameters showed that the model performed reasonably well with P-factor >0.7 and R-factor <1.0. The annual rainfall is projected to increase by 3.4–4.5, 4.7–10.0, and 5.0–18.0% during the 2020s, 2050s, and 2080s respectively under different Representative Concentration Pathways (RCPs). There is a decrease in rainfall during the winter season. The annual streamflow is projected to increase by 1–9, 1–22, and 2–38% during the 2020s, 2050s, and 2080s, respectively. However, winter and summer streamflow is projected to decrease. Magnitude and frequency of high flows is also projected to increase in the range of 3.6–27.3 and 12–87%, respectively under different RCPs. The results of this study will be helpful in developing suitable water management adaptation plans for the study basin.
Multiple Access using Time Modulated Array with Single RF Chain
Authors: He Xu , Ding Yuan , Huang Gaojian
Published: July 2018

Background:

A new wireless multiple access technology enabled by using Time Modulated
Arrays (TMAs) is proposed in this paper.

Methods:

It benefits due to the requirement of only a single Radio Frequency (RF) chain, compared
with other multiple-RF-chain schemes.

Results:

As a result, it is able to greatly reduce the system cost, energy consumption, and complexity.

Conclusion:

In addition, the signal through the single RF chain is narrow-band modulated, reducing the
signal Peak-to-Average-Power-Ratio (PAPR), thus, further enhancing the power efficiency of the RF
chain, especially for power amplifiers. The operation principle and synthesis approach are elaborated in
this paper, and are demonstrated with two examples.
Indigenous Adolescents� Perception of an eMental Health Program (SPARX): Exploratory Qualitative Assessment (Preprint)
Authors: Shepherd Matthew , Merry Sally , Lambie Ian , Thompson Andrew
Published: July 2018

BACKGROUND

Depression is a major health issue for indigenous adolescents, yet there is little research conducted about the efficacy and development of psychological interventions for these populations. In New Zealand there is little known about taitamariki (Māori adolescent) opinions regarding the development and effectiveness of psychological interventions, let alone computerized cognitive behavioral therapy. SPARX (Smart, Positive, Active, Realistic, X-factor thoughts) is a computerized intervention developed in New Zealand to treat mild-to-moderate depression in young people. Users are engaged in a virtual 3D environment where they must complete missions to progress to the next level. In each level there are challenges and puzzles to completeIt was designed to appeal to all young people in New Zealand and incorporates several images and concepts that are specifically Māori.

OBJECTIVE

The aim was to conduct an exploratory qualitative study of Māori adolescents’ opinions about the SPARX program. This is a follow-up to an earlier study where taitamariki opinions were gathered to inform the design of a computerized cognitive behavior therapy program.

METHODS

Taitamariki were interviewed using a semistructured interview once they had completed work with the SPARX resource. Six participants agreed to complete the interview; the interviews ranged from 10 to 30 minutes.

RESULTS

Taitamariki participating in the interviews found SPARX to be helpful. The Māori designs from the SPARX game were appropriate and useful, and the ability to customize the SPARX characters with Māori designs was beneficial and appeared to enhance cultural identity. These helped young people to feel engaged with SPARX which, in turn, assisted with the acquisition of relaxation and cognitive restructuring skills. Overall, using SPARX led to improved mood and increased levels of hope for the participants. In some instances, SPARX was used by wider whānau (Māori word for family) members with reported beneficial effect.

CONCLUSIONS

Overall, this small group of Māori adolescents reported that cultural designs made it easier for them to engage with SPARX, which, in turn, led to an improvement in their mood and gave them hope. Further research is needed about how SPARX could be best used to support the families of these young people.
HUBUNGAN PENGETAHUAN, SIKAP DAN PERILAKU BIDAN DESA TERHADAP KANKER LEHER RAHIM DAN PENCEGAHANNYA DI KABUPATEN SRAGEN
Authors: Sutresno Ismail Joko , Emilia Ova , Prawitasari Shinta
Published: July 2018

Background: Cervical cancer (cervix) is the second most common type of cancer in women, with an estimated of 530,000 new cases and more than 270,000 deaths each year. In 2012, cervical cancer cases in Central Java was 2,259 cases. Cervical cancer is easily recognizable and can be prevented with screening. A village midwife as the closest healthcare provider to the community is expected to function better in encouraging the prevention of cervical cancer.if they receive appropriate knowledge and attitude toward screening.Objective: to understand the correlation of knowledge, attitude and behavior of village midwife against cervical cancer and its prevention in Sragen district.Method: This analytic study is using quantitative and qualitative approach. Quantitative studies was done with cross-sectional study. The population of this research were 208 village midwifes from 20 sub-districts in Sragen and the subjects were 118 midwives whom randomly sampled. Data were analyzed using univariate and bivariate analysis.The qualitative study was done using depth interview.Result and Discussion: There is no correlation between age, level of education as well as work duration with their knowledge about cervical cancer prevention (P = 0.787; 0.344; 0.822); there is no correlation between village midwives’ knowledge with their behavior towards cervical cancer prevention (P = 0.664); there is no correlation between the village midwives’ attitudes and behavior towards prevention of cervical cancer (P = 0.460). Qualitative results support the quantitative results.Conclusion: There is no correlation between village midwives’ knowledge, attitudes and behavior towards cervical cancer prevention.Keywords: Cervical cancer, knowledge, attitude, behavior
Perbandingan hasil stimulasi ovarium dengan kombinasi klomifen sitrat gonadotropin dan klomifen sitrat pada inseminasi intra uteri
Authors: Indriani Farida , Widad Shofwal , Sofoewan Sulchan
Published: July 2018

Background: Infertile couple with the cause of unexplained infertility and male factor can follow intrauterine insemination (IUI) program as a cheap and easy method for infertility therapy. Ovarian stimulation by combination of clomiphene citrate and gonadotropin and also clomiphene citrate alone was done as a superovulation mode to get higher number of mature follicle to gain higher pregnancy rate. Objective : To compare the amount of mature follicles and  endometrial thickness as an outcome of ovarian stimulation between combination drug of clomiphene citrate and gonadotrophin with clomiphene citrate alone.Methods: Observational retrospective cohort. Subject is one cycle intrauterine insemination stimulated either by combination CC gonadotrophin or CC alone, eligible in inclusion criteria and exclusion criteria. Statistic test used was independent t-test, chi-square and logistic regression.Location of study: Infertility Clinic of  Permata Hati, dr. Sardjito Hospital, Yogyakarta.Result: A total of 142 cycle from 98 couples followed IUI and stimulated by combination CC gonadotrophin (n=72) or CC alone (n=70). Multiple mature follicle number was different and statistically significant 77% vs 54%, RR 1,433 (IK95% 1,118-1,836), p=0,005, while endometrial thickness > 7mm was more frequent in combination group but not statistically different with percentage 81,9% vs 74,3%, RR 1,103 (CI95% 0,926-1,315), p=0,367.Conclusion: Ovarian stimulation by combination CC gonadotropin resulting of more multiple mature follicle number while  good endometrial thickness was more in combination group but not statistically significant.Keywords: ovarian stimulation, clomiphene citrate, gonadotrophin, multifollicular, endometrial thickness
Hubungan antara Kepercayaan dan Keterpaparan Informasi dengan Pengetahuan dan Sikap terhadap Perawatan Metode Kanguru pada Bidan di Kabupaten Musi Rawas Sumatera Selatan Tahun 2016
Authors: Mudiyah Siti , Pratomo Hadi , Besral Besral
Published: July 2018

Background: Infant and Neonatal mortality in Musi Rawas District is the highest in Southern Sumatera in 2014. Implementation of kangaroo mother care as Low Birth Weight treatment is still limited in the provincial general hospital Dr. Mohammad Hoesin, Palembang. At the present time, midwives as maternal and child health service provider, can access many information including Kangaroo Mother Care from various media.Objectives: This study aimed to analyze the relationship between belief in the myth of LBW care and exposure information with the knowledge and attitudes toward kangaroo mother care on midwives in Musi Rawas District of Southern Sumatra 2016.Method: Cross sectional study design used on 197 midwives with purposive sampling.Result and Discussion: The results showed that midwives who have relatifely good knowledge about KMC As much as 50,8% and having relatively positive attitude towards KMC as much as 40.1%. There are a significant relationship between belief of LBW care (ρ=0,001; OR: 3,1; 95% CI: 1,6 – 5,8), exposure information from scientific media (ρ=0,039; OR: 2,4; 95% CI: 1,0 – 5,4), training (ρ=0,001; OR: 3.5; 95% CI: 1.7 – 7,5) with knowledge about KMC on midwives.Conclusion: A significant relationship also demonstrated between exposure information from training with attitude towards KMC on midwives (ρ=0,003; OR: 2,8; 95% CI: 1,4 – 5,6). Improving quality of the midwives in Kangaroo Mother Care is very important so midwives can provide counseling, information, and education to mother since detected with LBW.Keywords: Kangaroo Mother Care, Midwife, Belief, Attitude, Knowledge of KMC
Hubungan Umur Ibu, Paritas dan Penolong Persalinan dengan Kematian Neonatal di Wilayah Kerja Puskesmas Kabupaten Banjarnegara tahun 2013
Authors: Rofiqoch Isnaeni , Effendi Jusuf S. , Bratakoesoema Dinan S.
Published: July 2018

Background: The neonatal mortality rate is Banjarnegara district is high compared with a target of IMR in Central Java province. In 2012 the neonatal mortality rate in Banjarnegara reached 316 cases, whereas in 2013 there were 115 cases in all health centers working area. The high neonatal mortality rate in Banjarnegara influenced by the persistence of early marriage in woman, birth attendant by non skilled health worker (dukun bayi) and women’s parity more than 4.Objective: The purpose of this study is to analyze the correlation between maternal age, parity and birth attendants with the incidence of neonatal mortality and examine the most dominant factors influencing the incidence neonatal mortality in the Health Center working area in Banjarnegara.Method: This study is a case control study design with retrospective approach. The data consists of perinatal verbal autopsy and medical records as many as 136 respondents consisting of 68 mothers who gave birth to her child and neonatal death and 68 maternal and child alive. Subjects were mothers who gave birth a baby who died aged 0-28 days.Result and Discussion: Statistical analysis using Chi Square, Mann Whitney, and multiple logistic regression. The results showed maternal age and parity variables were not significantly corerelated with neonatal mortality (p> 0.05), the variables significantly corerelated with neonatal mortality was birth attendants with p = 0.001. The results of logistic regression showed the strength of the corerelation from the most dominant variable to the smallest variable were birth attendants with OR: 5.64 (95% CI: 1.81 to 17.4), maternal age OR 3.97 (CI 95%, from 1.54 to 10.22), and parity OR: 0.32 (CI 95% 0.12 to 0.87).Conclusion: In conclusion, there was no relationship between maternal age and parity with neonatal mortality but there was a relationship between birth attendants with neonatal mortality. Based on the results of the multivariable analysis, birth attendants’ effect on the incidence of neonatal deaths was 5 times greater than mother’s age and parity.Keywords: Neonatal mortality, maternal age, parity, birth attendants
Filogenetik Jenis-jenis Annonaceae dari Jawa Timur Koleksi Kebun Raya Purwodadi Berdasarkan Coding dan Non-coding sekuen DNA
Authors: Lestari Dewi Ayu , Azrianingsih Rodiyati , Hendrian H.
Published: July 2018

Annonaceae species of Purwodadi Botanic Garden collections from East Java encountered problems in species identification based on morphological characters. In addition, the unavailability of molecular data to support identification based on morphological characters hinders accurate identification of species. The aim of this research is to discern phylogenetic of Annonaceae species from East Java collections of Purwodadi Botanic Garden based on coding and non-coding sequence DNA. Annonaceae species used in this study are 30 species, includes outgroup from family of Magnoliaceae. Materials for DNA analysis were young leaves which were processed through DNA extraction, DNA amplification through PCR technique, DNA sequencing and data analysis with Maximum Likelihood (ML), Maximum Parsimony (MP) and Neighbour-Joining (NJ) method analysis. The results show that phylogenetic tree is divided into two subfamilies, i.e. Annonoideae and Malmeoideae. The topology of phylogenetic tree from three DNA molecular marker shows that non-coding sequence DNA (trnL-F molecular marker) has the best grouping of relationship and be able to explain the relationship between species of Annonaceae than rbcL and matK molecular marker as coding sequence DNA. Bootstrap value of trnL-F tree is very weak to high (36-100%) while rbcL is very weak to weak (17-63%) and matK tree is high (98-99%).
Utilization of Buffered Vinegar to Inhibit the Growth of Listeria monocytogenes on Marinated and Cooked Chicken Breast
Authors: Butler James L. , Dhowlaghar Nitin , Kim Taejo , Smith Brian S. , Campano Stephen G. , Schilling M. Wes
Published: July 2018

The objective of this experiment was to evaluate the efficacy of adding buffered vinegar to RTE broiler breast meat to inhibit Listeria monocytogenes growth on cooked broiler breast meat. Broiler breast fillets were vacuum-tumbled with a 15% solution (over green weight) for 30 min with a marinade consisting of different concentrations of dry vinegar (DV) or liquid vinegar (LV; 0%, 0.4, 0.6, and 0.8% DV, and 1.5% LV), 1.0% sodium chloride on a total raw product basis (RPB), 0.4% sodium tripolyphosphate on a RPB and water. After marinating, the chicken was cooked to an internal temperature of 77°C. The top and bottom of each piece of broiler breast meat (200 g) was surface inoculated with 1 mL of ∼5 log CFU/g of a 3 strain mixture of L. monocytogenes such that there was a target concentration of 3 log CFU/g L. monocytogenes on each chicken breast. Each chicken breast was then placed into individual packages that had the headspace exchanged for a modified atmosphere (95% CO2, 5% O2) and stored at refrigeration temperature (2°C ± 2°C) for 0 to 60 d and sampled at 5 d intervals. No differences in L. monocytogenes counts existed among buffered vinegar treatments at any storage time. At storage times from 35 to 60 d, broiler breast meat that was treated with buffered vinegar had fewer L. monocytogenes counts (P < 0.05) than the untreated broiler breast meat and continued to control L. monocytogenes growth through 60 d of storage. Additionally, the chicken treated with 0.8% DV and 1.5% LV had 2.0 log CFU/g or less L. monocytogenes counts after 60 d of storage.
Políticas de comunicación. De sus orígenes a los desafíos de las tecnologías digitales
Authors: Califano Bernadette
Published: July 2018

El objetivo de este artículo es trazar un recorrido histórico a través de las políticas de comunicación, desde sus orígenes en el siglo XIX hasta los desafíos que se presentan actualmente con el desarrollo de las tecnologías de información y comunicación. A partir de las tres fases paradigmáticas que proponen los investigadores Jan van Cuilemburg y Denis McQuail (una primera etapa emergente, una segunda etapa de servicio público y una tercera fase de búsqueda de un nuevo paradigma), este artículo se propone un doble objetivo. En primer lugar, indagar sobre los rasgos históricos de cada etapa, teniendo en cuenta una mirada global que pone el acento en los casos estadounidense y europeo, con referencias a las políticas de comunicación en América Latina y, en particular, en la Argentina. En segundo lugar, profundizar sobre la caracterización de la etapa actual –que los autores no terminan de delinear–, haciendo hincapié en los desafíos que las tecnologías digitales, el ecosistema de internet y los procesos de convergencia entre las industrias del audiovisual y las telecomunicaciones presentan para la definición de políticas de comunicación en el siglo XXI.
The Rising Shi’a Crescent: Iranian Smart Power and Implications for the Middle East, Central Asia, and the Persian Gulf
Authors: Paunic Natalia
Published: July 2018

The circumstances of the American war in Iraq, the Arab Spring, and the international fight against Da’esh have provided an opportunity for the Islamic Republic of Iran to consolidate its power in the Middle East, as foretold by King Abdullah II of Jordan in his coining of the phrase “Shi’a crescent” in 2004. Iran’s successful resurgence can be attributed to its effective use of “smart power,” or the combination of soft and hard power tactics. Iran’s hard power, in the form of Shi’a militias and proxies, is supported with soft power tactics. These include Iran’s export of the ideals of the Revolution and its model of an Islamic Republic, its role as leader of the global Shi’ite community, and its investment in cultural diplomacy across the Middle East as well as its renewed engagement with the West.
Discovering the Palestinian Refugee Paradox in Lebanon
Authors: Stephan Carol
Published: July 2018

This paper will attempt to analyze why Lebanon accepts so many refugees instead of initially denying them asylum since Lebanon’s refugee law reflects the country’s unwillingness to integrate refugees into its citizenry. It focuses on the case of Palestinian refugees in Lebanon and argues that Lebanon’s historical relations with Palestine and the Arab states, and its economic benefit from the refugees play a more powerful role than the country’s feeling of legal responsibility for granting these refugees asylum. The paper is divided into two sections; the first examines Lebanon’s refugee law and its consequences on the living conditions of refugees in Lebanon. The second section assesses the role of Arab nationalism and the economic benefit from refugees on influencing Lebanon to grant refugees asylum.
{Re}locating Agency in Women Terrorism
Authors: Chandler Laurie
Published: July 2018

Why is it, that when we think about or see terrorism, we do not see women? Women, like men, are capable of violence. Women, like men, commit violence for a variety of reasons, some rational some irrational. Still, when women commit acts of violence, they have been characterized as anything but regular criminals or soldier or terrorists. Rather, women who are violent are discussed in one of three ways - the wife, the mother or the whore – which deny her agency and reify gender stereotypes and subordination. With the rise in global terrorism and female participation within such organizations, the implications of the terms we use to describe away a woman’s legitimate use of violence, are far reaching.
TOURISM VILLAGE EXPANSION IN THE CONCEPT OF SUSTAINABLE TOURISM DEVELOPMENT (INDONESIA EXPERIENCE)
Authors: Hamzah Any Suryani , Irfan Mohammad
Published: July 2018

ABSTRACT

The purpose of this research is to find the model of traditional tourism governance format so that it can be used as a benchmark in the development of village tourism or sustainable hamlet tourism by re-arranging regulations based on local wisdom that support traditional tourism. Another objective is to evaluate and refine the implementation of village regulations that have been developed and implemented in the village tourism domain to determine the extent of their implications on improving the economy of people in tourist villages. This paper is authored using a qualitative approach with the orientation of literature study as an employed strategy in this study. The literature study is used in social research methodologies to trace historical data, as is found in this study.

The results showed that the development of rural tourism is able to minimize the potential of urbanization from rural to urban society caused by the ability of local people to create economic activities based on tourism activities (tourism economy) in rural areas. The productive power of local potentials, including the potentials of rural areas, can be encouraged to grow and develop by utilizing the resources owned by the village, so that it can be an effective instrument in encouraging the development of socio-cultural and economic fields of rural communities. Furthermore, efforts will be encouraged to conserve and empower the potential of local culture and local wisdom values ​​that tend to be threatened with extinction due to the heavily globalized currents that have entered rural areas. In the development of a tourist village, certain guidelines are needed so that the impact of the development of tourism activities in each rural area can be controlled. The guidelines are expected to encourage the development and management of tourist villages to be more focused, planned, and sustainable. Besides, the tourist village will be supported by all parties and it will provide significant benefits for all villagers through tourism village-based economic growth and development.

Keywords: tourism village, sustainable tourism development, economic empowerment, local wisdom.
Hamiltonians for one-way quantum repeaters
Authors: Miatto Filippo M. , Epping Michael , Lütkenhaus Norbert
Published: July 2018

Quantum information degrades over distance due to the unavoidable imperfections of the transmission channels, with loss as the leading factor. This simple fact hinders quantum communication, as it relies on propagating quantum systems. A solution to this issue is to introduce quantum repeaters at regular intervals along a lossy channel, to revive the quantum signal. In this work we study unitary one-way quantum repeaters, which do not need to perform measurements and do not require quantum memories, and are therefore considerably simpler than other schemes. We introduce and analyze two methods to construct Hamiltonians that generate a repeater interaction that can beat the fundamental repeaterless key rate bound even in the presence of an additional coupling loss, with signals that contain only a handful of photons. The natural evolution of this work will be to approximate a repeater interaction by combining simple optical elements.
REFERENCIAÇÃO, ARGUMENTAÇÃO E HUMOR EM ESQUETES
Authors: Lima Dean
Published: July 2018

Neste trabalho, assumimos que os processos de apresentação e retomada recategorizadora “são indiciados por marcações contextuais várias, de diferentes aspectos semióticos, para atenderem a diferentes propósitos argumentativos” (cf. CAVALCANTE & BRITO, 2016). Assim sendo, este trabalho se propõe a analisar o esquete “Reis magia”, elaborado pelo coletivo humorístico “Porta dos Fundos” e publicado no youtube dias antes do Natal. No que concerne às hipóteses, temos o seguinte: a) os referentes são (re)construídos não só pelo material linguístico, mas também por outras semioses; b) as semioses que compõem os esquetes, ao participarem da (re)elaboração dos referentes, são fundamentais para a deflagração do humor e, por conseguinte, para a argumentação. A análise realizada mostra, sobretudo, que o discurso religioso moralista está sendo posto em cheque e que as (re)categorizações propostas no esquete rompem com as expectativas e só podem provocar o humor quando confrontadas com esse discurso religioso moralista.
SUPORTE TEXTUAL, COERÊNCIA E PRODUÇÃO DE SENTIDOS: DISCUSSÃO A PARTIR DE TEXTOS DE MÍDIA DE AMBIENTE
Authors: Lima Juliana De Mello Chagas , Romualdo Edson Carlos
Published: July 2018

: Este artigo tem como ponto de partida a observação da existência de novos espaços para a publicação de peças publicitárias, em especial o uso de diferentes suportes e formatos. Nosso objetivo, neste trabalho, é contribuir para a discussão sobre a importância dos suportes na construção dos sentidos dos textos, principalmente no que se refere a sua coerência, com base em autores como Marchuschi (2003; 2008), Koch (2009), Koch e Travaglia (2011), Bonini (2011), entre outros. Analisamos textos da chamada "mídia de ambiente", uma vertente da criação e veiculação publicitária, que tem como característica a instalação de peças publicitárias em locais inusitados e de grande fluxo de pessoas. Consideramos que essas novas formas de publicidade permitem novas relações para a produção de sentidos, devido à interação com o ambiente físico em que estão inseridas e as relações entre sujeitos e objetos promovidas a partir de sua publicação, levando-nos a propor o suporte como um dos fatores de coerência. Palavras-chave: linguística textual; suporte; mídia de ambiente.
Risk disclosures, governance and ownership: Evidence from German non-listed firms
Authors: Dobler Michael , Luckner Melissa
Published: July 2018

This paper is the first to investigate risk disclosures by German non-listed firms in relation to key attributes of governance and ownership. Based on manual content analysis of risk disclosures by 100 firms in the manufacturing sector we employ univariate tests and multivariate regressions to examine the characteristics and determinants of risk disclosures, respectively. Results suggest that non-listed firms provide fewer risk disclosures but follow similar patterns in respect to the composition of risk disclosures as compared to prior evidence on German listed firms. Consistent with agency theory, the volume of risk disclosures is positively associated with the existence and size of a supervisory board and the use of a Big-4 auditor while negatively associated with concentrated ownership in subsidiaries or family firms. Our findings contribute to limited evidence on risk and discretionary disclosures by non-listed firms.
Megacolon Tóxico De Origen Idiopático: Reporte De Caso
Authors: Siado Guerrero Sergio Andrés , Jiménez Sánchez Héctor Conrado , Martínez Montalvo Carlos Mauricio
Published: July 2018

El megacolon tóxico (MT) es una patología con  una tasa de mortalidad superior al  80% desencadenada  por un proceso inflamatorio progresivo que compromete  la pared del colon con dilatación secundaria de la luz intestinal debido a procesos inflamatorios o infecciosos. Su presentación clínica es bizarra y los pilares básicos en su manejo, son un diagnóstico oportuno, un manejo médico adecuado (antibiótico, reanimación hídrica, corrección metabólica) y de ser necesario, un manejo quirúrgico eficaz, que evite al máximo las complicaciones que empeoran el pronóstico de los pacientes.  En este artículo  presentamos un caso de una paciente con choque séptico secundario a MT, con desenlace fatal, con sospecha de un cuadro de colangitis grado III descartado por ecografía, lo cual genero distorsiones en su enfoque y manejo inicial.  Por deterioro clínico y distensión abdominal,  la paciente fue llevada a laparoscopia diagnóstica donde se evidenció un compromiso isquémico severo de todo el colon, sin compromiso de intestino delgado, razón por la que se le realizó colectomia total.  El reporte de patología y la historia clínica descartan colitis ulcerativa o enfermedad de Crohn, confirmando megacolon tóxico.  La paciente no presentaba factores de riesgo para el desarrollo de colitis pseudomembranosa. Concluimos que es la presentación de un caso de megacolon tóxico idiopático.
Comparativa de la eficiencia entre un sistema fotovoltaico con seguimiento solar y un sistema fotovoltaico fijo / Comparison between a photovoltaic solar tracker efficiency and a fixed photovoltaic system
Authors: Pelayo López Jorge Arturo , Luna Soto Alfredo , Bernabe Ramos Francisco , Guzmán Flores Benjamín
Published: July 2018

Para generar de forma eficiente energía eléctrica utilizando paneles fotovoltaicos es indispensable que estos sean instalados de forma correcta. Para ello, se pueden implementar sistemas de control de posicionamiento (seguidor solar) mediante un algoritmo de búsqueda del punto máximo de energía, lo cual sirve para mejorar la eficiencia del sistema. Por tal motivo, en el presente trabajo se analiza el diseño y la construcción de un sistema fotovoltaico con seguimiento solar de dos ejes. El objetivo es determinar la eficiencia de este sistema frente a uno estático. El seguidor solar construido cuenta con celdas independientes que actúan como sensores y alimentan a los motores encargados de girar el panel fotovoltaico tanto en el eje vertical como en el horizontal. Para la adquisición de la energía generada por los dos sistemas de paneles solares se utilizó la tarjeta Arduino Nano 3.0 y diversos módulos. Los resultados de las pruebas realizadas se examinaron mediante el programa computacional SigmaPlot y la comparativa de grupos (ANOVA) de una vía. Asimismo, se realizó una prueba de rangos múltiples, que emplea el método de comparación múltiple de medias de Tukey.Luego se confrontaron los datos recabados durante un periodo de 29 días. Los resultados demostraron que en ese lapso la eficiencia promedio alcanzada por el sistema con seguimiento solar fue de 33 %, mientras que con el sistema fijo fue de 26.28 %. Además, se observó que, durante las primeras horas de cada día, el sistema fotovoltaico fijo logró generar más energía eléctrica que el sistema fotovoltaico con seguimiento solar.
MODEL PENGEMBANGAN KOMPETENSI SDM BERBASIS ISLAMIC VALUES PADA LEMBAGA KEUANGAN MIKRO SYARIAH
Authors: Kurniawati Rini
Published: July 2018

ABSTRACTThis research is aimed to identify the importance of human resource's role for (keberlangsunhan BMT). Human resource is a main asset that must be take care of in an organization. Their quality shows through knowledge, skill and attitude or competency. Oriented competency to create excellent quality and competitive of human resource. Through recruitment process and pre selection that decided the right minimum standard which supported by organization learning. Those have purpose to create great HR that has professional compentency based on islamic values. Islamic values based on Alquran and Assunah. The frameworks that is proposed hopefully could give and add more knowledges about the importance of HR professional competency development model based in sharia principles on BMT.Keywords: HR competency, recruitment, selection, organization learning, BMT
INCREASING WRITING SKILL OF NARRATIVE THROUGH DIRECTLY LEARNING MODELS STUDENT CLASS VII SMP 26 SAROLANGUN
Authors: Fahmi Muhibul , Atmazaki Atmazaki
Published: July 2018

This research aims at improving the students’ ability to convert an interview text into narrative text. Based on the facts, the students’ ability to convert interview text into narrative was still very low, due to the lack of students’ interest in learning. Besides, teaching method used by the teacher could not cultivate students' interest in learning especially in writing narrative. This research used direct instructional model. The subjects were students at SMP 26 Sarolangun in the academic year which consisted of 18 students. Data obtained in the form of qualitative data which were collected through observation and field notes. Quantitative data obtained through performance tests and questionnaire of students’ responses towards the learning. From the data obtained, it was found that direct instructional model could improve the students’ narrative writing skill. In addition, direct instructional model has created a situation that is more attractive, comfortable, and happier for the students.
Nilai Pendidikan Karakter Sajak “Bulan Ruwah” Karya Subagio Sastrowardoyo dalam Pembelajaran Sastra
Authors: Supriyono Sugeng , Wardani Nugraheni Eko , Saddhono Kundharu
Published: July 2018

Poetry as a literature work which is a manifestation of human culture that is full of life value, so it is very relevant for character building. The aim of this research is to describe character value and how to implemented on literature study at school of poetry “Bulan Ruwah” from Subagio Sastrowardoyo. This qualitative research applies the description method and using content analyisis. The data of this research is Subagio Sastrowardoyo’s poetry “Bulan Ruwah”. The data analysis techique was referenced technique and recorded technique, using stylistic approach. It is found that there are three values of characters in the poetry “Bulan Ruwah”.
UMA REFLEXÃO SOBRE A DISCRICIONARIEDADE JUDICIAL ATRAVÉS DA HISTÓRIA DO DIREITO PENAL: AS PUNIÇÕES ARBITRÁRIAS NO OCASO DO ANTIGO REGIME
Authors: Alves Sílvia
Published: July 2018

O arbítrio dos juízes não viveu num território estranho ao direito e floresceu sob o império da lei. Sua investigação histórica, que é um dos pontos mais relevantes da formação do direito penal, é o objeto dessa investigação.
Coarse-to-fine Image Co-segmentation with Intra and Inter Rank Constraints
Authors: Gao Lianli , Song Jingkuan , Zhang Dongxiang , Shen Heng Tao
Published: July 2018

Image co-segmentation is the problem of automatically discovering the common objects co-occurring in a set of relevant images and segmenting them as foreground simultaneously. Although a bunch of approaches have been proposed to address this problem, many of them still suffer from certain limitations, e.g., supervised feature learning and complex models, which hinder their capability in the real-world scenarios.

To alleviate these limitations, we propose a novel coarse-to-fine co-segmentation (CFC) framework, which utilizes the coarse foreground and background proposals to learn a robust similarity measure of the features in an unsupervised way, and then devises a simple objective function based on the definition of image co-segmentation.

Specifically, we first generate superpixels for all the images and extract their features. Instead of using existing distance metrics, we utilize object proposal methods to generate coarse foreground and background to learn a similarity measure of superpixels to construct a robust feature similarity graph. Then we design an intuitive objective function to learn a segmentation similarity graph which should be consistent with feature similarity graph and also be able to co-segment the superpixels in the images into either foreground and background. This objective function can be further reformulated as a graph learning problem with intra and inter rank constraints. Experiments on two commonly used image datasets (iCoseg and MSRC) demonstrate that CFC outperforms other state-of-the-art methods. Notably, this performance is achieved by using only HSV feature.
Co-attention CNNs for Unsupervised Object Co-segmentation
Authors: Hsu Kuang-Jui , Lin Yen-Yu , Chuang Yung-Yu
Published: July 2018

Object co-segmentation aims to segment the common objects in images. This paper presents a CNN-based method that is unsupervised and end-to-end trainable to better solve this task. Our method is unsupervised in the sense that it does not require any training data in the form of object masks but merely a set of images jointly covering objects of a specific class. Our method comprises two collaborative CNN modules, a feature extractor and a co-attention map generator. The former module extracts the features of the estimated objects and backgrounds, and is derived based on the proposed co-attention loss which minimizes inter-image object discrepancy while maximizing intra-image figure-ground separation. The latter module is learned to generated co-attention maps by which the estimated figure-ground segmentation can better fit the former module. Besides, the co-attention loss, the mask loss is developed to retain the whole objects and remove noises. Experiments show that our method achieves superior results, even outperforming the state-of-the-art, supervised methods.
Multi-Level Policy and Reward Reinforcement Learning for Image Captioning
Authors: Liu Anan , Xu Ning , Zhang Hanwang , Nie Weizhi , Su Yuting , Zhang Yongdong
Published: July 2018

Image captioning is one of the most challenging

hallmark of AI, due to its complexity in visual and

natural language understanding. As it is essentially

a sequential prediction task, recent advances in image

captioning use Reinforcement Learning (RL) to

better explore the dynamics of word-by-word generation.

However, existing RL-based image captioning

methods mainly rely on a single policy network

and reward function that does not well fit the

multi-level (word and sentence) and multi-modal

(vision and language) nature of the task. To this

end, we propose a novel multi-level policy and reward

RL framework for image captioning. It contains

two modules: 1) Multi-Level Policy Network

that can adaptively fuse the word-level policy and

the sentence-level policy for the word generation;

and 2) Multi-Level Reward Function that collaboratively

leverages both vision-language reward and

language-language reward to guide the policy. Further,

we propose a guidance term to bridge the policy

and the reward for RL optimization. Extensive

experiments and analysis on MSCOCO and Flickr30k

show that the proposed framework can achieve

competing performances with respect to different

evaluation metrics.
Cross-Domain 3D Model Retrieval via Visual Domain Adaption
Authors: Liu Anan , Xiang Shu , Li Wenhui , Nie Weizhi , Su Yuting
Published: July 2018

Recent advances in 3D capturing devices and 3D

modeling software have led to extensive and diverse

3D datasets, which usually have different distributions.

Cross-domain 3D model retrieval is becoming

an important but challenging task. However,

existing works mainly focus on 3D model

retrieval in a closed dataset, which seriously constrain

their implementation for real applications. To

address this problem, we propose a novel crossdomain

3D model retrieval method by visual domain

adaptation. This method can inherit the advantage

of deep learning to learn multi-view visual

features in the data-driven manner for 3D

model representation. Moreover, it can reduce

the domain divergence by exploiting both domainshared

and domain-specific features of different domains.

Consequently, it can augment the discrimination

of visual descriptors for cross-domain similarity

measure. Extensive experiments on two popular

datasets, under three designed cross-domain

scenarios, demonstrate the superiority and effectiveness

of the proposed method by comparing

against the state-of-the-art methods. Especially, the

proposed method can significantly outperform the

most recent method for cross-domain 3D model retrieval

and the champion of Shrec’16 Large-Scale

3D Shape Retrieval from ShapeNet Core55.
Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics
Authors: Tang Yongyi , Ma Lin , Liu Wei , Zheng Wei-Shi
Published: July 2018

Human motion prediction aims at generating future frames of human motion based on an observed sequence of skeletons. Recent methods employ the latest hidden states of a recurrent neural network (RNN) to encode the historical skeletons, which can only address short-term prediction. In this work, we propose a motion context modeling by summarizing the historical human motion with respect to the current prediction. A modified highway unit (MHU) is proposed for efficiently eliminating motionless joints and estimating next pose given the motion context. Furthermore, we enhance the motion dynamic by minimizing the gram matrix loss for long-term motion prediction. Experimental results show that the proposed model can promisingly forecast the human future movements, which yields superior performances over related state-of-the-art approaches.

Moreover, specifying the motion context with the activity labels enables our model to perform human motion transfer.
Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding
Authors: Wan Hai , Luo Yonghao , Peng Bo , Zheng Wei-Shi
Published: July 2018

This paper focuses on scene graph completion which aims at predicting new relations between two entities utilizing existing scene graphs and images. By comparing with the well-known knowledge graph, we first identify that each scene graph is associated with an image and each entity of a visual triple in a scene graph is composed of its entity type with attributes and grounded with a bounding box in its corresponding image. We then propose an end-to-end model named Representation Learning via Jointly Structural and Visual Embedding (RLSV) to take advantages of structural and visual information in scene graphs. In RLSV model, we provide a fully-convolutional module to extract the visual embeddings of a visual triple and apply hierarchical projection to combine the structural and visual embeddings of a visual triple. In experiments, we evaluate our model on two scene graph completion tasks: link prediction and visual triple classification, and further analyze by case studies. Experimental results demonstrate that our model outperforms all baselines in both tasks, which justifies the significance of combining structural and visual information for scene graph completion.
Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision
Authors: Wang Hanmo , Chang Xiaojun , Shi Lei , Yang Yi , Shen Yi-Dong
Published: July 2018

Recognizing human actions in video clips has been an important topic in computer vision. Sufficient labeled data is one of the prerequisites for the good performance of action recognition algorithms. However, while abundant videos can be collected from the Internet, categorizing each video clip is tedious and even time-consuming. Active learning is one way to alleviate the labeling labor by allowing the classifier to choose the most informative unlabeled instances for manual annotation. Among various active learning algorithms, uncertainty sampling is arguably the most widely-used strategy. Conventional uncertainty sampling strategies such as entropy-based methods are usually tested under accuracy. However, in action recognition Average Precision (AP) is an acknowledged evaluation metric, which is somehow ignored in the active learning community. It is defined as the area under the precision-recall curve. In this paper, we propose a novel uncertainty sampling algorithm for action recognition using expected AP. We conduct experiments on three real-world action recognition datasets and show that our algorithm outperforms other uncertainty-based active learning algorithms.
Deep Propagation Based Image Matting
Authors: Wang Yu , Niu Yi , Duan Peiyong , Lin Jianwei , Zheng Yuanjie
Published: July 2018

In this paper, we propose a deep propagation based image matting framework by introducing deep learning into learning an alpha matte propagation principal. Our deep learning architecture is a concatenation of a deep feature extraction module, an affinity learning module and a matte propagation module. These three modules are all differentiable and can be optimized jointly via an end-to-end training process. Our framework results in a semantic-level pairwise similarity of pixels for propagation by learning deep image representations adapted to matte propagation. It combines the power of deep learning and matte propagation and can therefore surpass prior state-of-the-art matting techniques in terms of both accuracy and training complexity, as validated by our experimental results from 243K images created based on two benchmark matting databases.
Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion
Authors: Wang Yupei , Zhao Xin , Li Yin , Hu Xuecai , Huang Kaiqi
Published: July 2018

Shadow detection is an important and challenging problem in computer vision. Recently, single image shadow detection had achieved major progress with the development of deep convolutional networks. However, existing methods are still vulnerable to background clutters, and often fail to capture the global context of an input image. These global contextual and semantic cues are essential for accurately localizing the shadow regions. Moreover, rich spatial details are required to segment shadow regions with precise shape. To this end, this paper presents a novel model characterized by a deeply supervised parallel fusion (DSPF) network and a densely cascaded learning scheme. The DSPF network achieves a comprehensive fusion of global semantic cues and local spatial details by multiple stacked parallel fusion branches, which are learned in a deeply supervised manner. Moreover, the densely cascaded learning scheme is employed to refine the spatial details. Our method is evaluated on two widely used shadow detection benchmarks. Experimental results show that our method outperforms state-of-the-arts by a large margin.