bluuebunny/crossref_metadata_2025 huggingface dataset:
A “Soil Lorax” Perspective on Corn Stover for Advanced Biofuels
Authors: M‐F Johnson Jane
Published: July 2018

Core Ideas

Corn stover is a potentail feedstock for advanced biofuels.

Benefits and risks assoicated with harvesting residues reviewed.

Strategies to protect soil if residues harvested summarized.

Crop residues like corn (Zea mays L) stover are potential feedstock for production of advanced biofuels (e.g., cellulosic ethanol). Utilization of residue like stover for biofuel feedstock may provide economic and greenhouse gas mitigation benefits; however, harvesting these materials must be done in a manner that protects the soil. This paper summarizes an introductory overview presented at the American Society of Agronomy (ASA), Crop Science Society of America (CSSA), and Soil Science Society of America (SSSA) workshop in Sacramento, CA, on crop residue removal for advanced biofuel production. Corn stover has been identified as an advanced biofuel feedstock, which could provide agronomic, economic and greenhouse gas mitigation benefits. However, stover harvest may result in soil exposed to erosive forces, and inadequate residue input for sustaining soil organic matter, resulting in soil degradation and other negative environmental consequences. Thus, strategies to protect the soil resource to balance current and future societal needs are required. Returning adequate residue and/or adding cover crops can mitigate or reduce risks to soil properties, which may be adversely impacted by harvesting crop residue. It is paramount to safeguard the soil so this indispensable resource continues providing a wide range of services including feeding and clothing a growing population.
Measuring the inclusiveness of international financing to tourism in Latin America and the Caribbean
Authors: Carrillo-Hidalgo Isabel , Ignacio Pulido-Fernández Juan
Published: July 2018

Globally, tourism has been identified as a means of poverty reduction and development, and as a means of encouragement of females, minorities and small businesses to better engage in the mainstream of economic life. This paper examines whether the international and governmental financial support, grated by international financial institutions, is effectively achieving these aims in Latin America and the Caribbean. A series of indices are established in the paper that assess the extent to which such funding includes non-corporate enterprise while also considering the volume and nature of such funding. It is concluded that the goals of inclusiveness are not being met.
Sustainable development of the Ukrainian agrarian sector: perspectives and challenges
Authors: Mykhailova Liubov , Stoyanets Natalia , Mykhailov Andrii , Kharchenko Tetiana , Bachev Hrabrin
Published: July 2018

Sustainable development of the Ukrainian economy is rather complicated, extraordinary and controversial task for Ukraine. By fulfilling the obligations assumed by the world community to implement the main provisions of sustainable development, Ukraine undergoes comprehensive structural transformations, which undoubtedly have a significant impact on the development of its agrarian sector. Administrative and territorial reform is one of the major structural changes, which is taking place at the present time and has a direct impact on the agrarian sector development. The research is aimed at deepening the methodological principles for predicting the effectiveness of new institutes and rules caused by agrarian and structural transformations in the national economy, as well as substantiating the cluster model of sustainable development of the agrarian sector.The provision of the economic theory of “path dependence” is the methodological basis of the research. In the article, based on a combination of theoretical and empirical methods, the transformation of the state of the socio-economic system, which is conditioned by the introduction of a new rule in implementing the reforms, is researched. Under these conditions, the effect of hysteresis may arise – the new rule can fall into the institutional trap and stay in it even when perturbations often disappear.Given the analysis of the current implementation of the sustainable development model in the agrarian sector, the authors focus on combining the efforts of management bodies, socially responsible business and rural population and substantiate the need to improve the system of functional environment, which should be based on the cluster concept of development. It is precisely the cluster structure that will ensure the effectiveness of production relations between market agents, minimize the emergence of ineffective institutions and reduce the likelihood of institutional traps in the future.
Multimodel and Vegetation Indices for Drought Vulnerability Assessment: A Case Study of Afar Region in Ethiopia
Authors: Melese Ashenif , Suryabhagavan K. V. , Balakrishnan M.
Published: July 2018

Drought is a water related climatic natural disaster affecting wide range of environmental, biological and social factors. Short, poor and delayed rainfall in 2015 caused critical water shortage, livestock causality and decline in milk production in the pastoral areas of Ethiopia. The relationship between rainfall and vegetation indices was analyzed to identify drought-vulnerable areas in Afar region of Ethiopia using 11 years time series of decadal NDVI, VCI, DSI and SPI using SPOT (2005-2013) and PROVA-V (2014-2015) data. For the validation of drought indices, correlation and regression analyses between NDVI and rainfall (r = 75%), NDVI and crop yield, and VCI and rainfall (r = 90%) were done. The findings showed that there was extreme drought in the Afar region in 2005, 2009, 2011 and 2015. The region was highly prone to drought, even though its severity levels varied in different years. Drought was severe, longer and intense in most of the areas in the region, adversely affecting agricultural productivity and livestock maintenance and management. Assessments of such natural disasters are useful to plan mitigative measures in advance for effective management programmes, including drought hazards.
Biological fuel cells produce bioelectricity with in-situ brackish water purification
Authors: Perazzoli Simone , Bastos Renan B. , Santana Fabrício B. , Soares Hugo M.
Published: July 2018

Biological fuel cells, namely microbial desalination cells (MDCs) are a promising alternative to traditional desalination technologies, as microorganisms can convert the energy stored in wastewater directly into electricity and utilize it in situ to drive desalination, producing a high-quality reuse water. However, there are several challenges to be overcome in order to scale up from laboratory research. This study was conducted in order to better understand the performance of MDCs inoculated with marine sediments during the treatment of brackish water (5.0 g L−1 of NaCl) under three different configurations and cycles of desalination, envisaging the future treatment of saline wastewaters with conductivities lower than 10 mS cm−1. Results have shown that by increasing the desalination cycle three times, the efficiency of salt removal was improved by 3.4, 2.4 and 2.3 times for 1-MDC, 3-MDC, and 5-MDC, respectively. The same trend was observed for electrochemical data. Findings encourage further development of the MDC for sustainable brackish water and wastewater purification and future on-site utilization.
The Diagnostic Value of CT-guided Percutaneous Co-axial Trans-thoracic Biopsy (PCTTB) and Evaluation of the Pathologic Examination
Authors: Şahan Mehmet Hamdi , Inal Mikail , Muluk Nuray Bayar , Doğan Adil , Atasoy Pınar
Published: July 2018

Background: We investigated thoracic masses with Computed Tomography (CT)-
guided Percutaneous Co-Axial Trans-Thoracic Biopsy (PCTTB).

Methods: The retrospective data of 86 patients to whom CT-guided PCTTB had been applied were
obtained. Eighty-four cases and their pathologic results were included in the study. Localization
and appearance of the lesions, pathologic results, and complications were evaluated.

Results: Diagnostic sensitivity of CT-guided PCTTB was 97.6%. In 60.7% of the cases, malign
lesions and, in 39.3% of the cases, benign lesions were diagnosed. The mass size was on average
greater than 2 cm, and one mass was detected as being more than ≥2 masses. Mainly, irregular contours
were observed. Most of the malign tumors were primary malign tumors on both sides (91.7%
on the right side and 88.9% on the left side). Squamous Cell Carcinoma (SCC) was the most often
detected malign tumor on the right side, and adenocarcinoma was the most often detected malign
tumor on the left side. In masses localized on the left inferior lobe, metastasis was often detected.
When the number of the mass was ≥2 and the mass had the appearance of consolidation, metastasis
was usually detected. Small and large masses were mainly localized on right and left upper lobes.
In the small mass group, 75.0% of the cases were benign, and, in the large mass group, 64.5% of
the cases were malign (p=0.031, χ2=4.666). Pneumothorax was the most commonly occurring
complication (23.8%). In masses localized on the right lower lobe, the pneumothorax ratio increased
in benign masses compared to malign masses. The hemorrhage detection rate was 13.0%,
and hemoptysis occurred in 14.2% of the cases. Hemorrhage was detected during 11.8% of the
large mass biopsies. In females, hemorrhage occurred more often than in males (p=0.026,
r= 0.244).

Conclusion: CT-guided PCTTB is a safe method to utilize for lung biopsies. Co-axial method increased
the diagnostic accuracy of CT-guided percutaneous trans-thoracic biopsies. A single cut
also decreased the complication rates.
Performance of a Fly Ash Geopolymeric Based Binder with Calcium Hydroxide, Portland Cement and Metakaolin as Additives
Authors: Kheradmand M. , Abdollahnejad Z. , Pacheco-Torgal F.
Published: July 2018

Background:

Geopolymeric binders are especially indicated when reusing a wide diversity of wastes. This is an important feature, especially in the European context, in which a circular economy and future zero waste are targeted. Still, the cost of these materials, due to the use of high purity activators, prevents their commercialization as they are simply not competitive enough.

Objective:

The reduction in the amount of activators could be a cost-efficient solution if the associated decrease in the mechanical properties turned not to be excessive. This means that it is important to investigate the manner in which these additives can be used on their composition in order to compensate that mechanical reduction.

Results and Conclusion:

This paper discloses results concerning the mixed design of fly ash based geopolymeric mixtures using metakaolin, Portland cement (OPC) and calcium hydroxide as additives. Their influence on the mechanical properties, microstructure and cost-efficiency was studied. The results showed that the use of Portland cement as an additive leads to lower compressive strength. Results also show that geopolymers with different additives have different optimum Na2SiO3/NaOH ratios.
Does Misoprostol for Induction of Labor Increase the Risk of Uterine Rupture?
Authors: Anggreany Kiswa , Luthfi Mohammmad , Siswosudarmo Risanto
Published: July 2018

Background: Misoprostol is a synthetic prostaglandin E1 analogue which is now commonly used for induction of labor. Hyperstimulation is a complication of misoprostol that may lead to uterine rupture.Objective: To find the association between misoprostol exposure for induction of labor with uterine rupture.Methods: Case were all women who delivered in Sardjito and affiliate Hospitals from January 2007 to November 2012 with the diagnosis of uterine rupture. Controls were taken randomly from the same hospital. Chi square test and logistic regression model were used for statistical analysis.Result and Discussion: There were 53 cases of uterine rupture and 199 controls. The incidence of uterine rupture was 53 over 64,244 deliveries or 0,08%. Risk of of uterine rupture associated with misoprostol exposure was 1, 09 (CI 95% 0,52-2,2), while that of oxytocin exposure was 0,80 (CI 95% 0,35-1,85). Logistic regression analysis showed that the highest risk factor associated with uterine rupture was fetal weight > 3500 (OR 3,46; 95% CI 1,48-8,56) followed by parity (OR 2,56;95% CI 1,019-6,465) and vacuum extraction(OR 2,45;95% CI 0,94-6,39).Conclusion: There was no association between misoprostol exposure with uterine rupture. Fetal weight> 3500 gram, Parity more than 3, and vacuum extraction increased the risk of uterine rupture associated with misoprostol use.Keywords: Misoprostol, induction of labor, uterine rupture, fetal weight, parity.
Perbandingan Kejadian Retensi Urin antara Persalinan dengan Vakum Ekstraksi dan Persalinan Normal
Authors: Petrana Nurul Hikmah , Emilia Ova , Pradjatmo Heru
Published: July 2018

Background: Urinary retention after vaginal delivery is a common problem with incidence 1.7% - 17.9%. Assissted vaginal delivery is one risk factor for the occurence of urinary retention.Objective: to compare urinary retention between normal vaginal delivery and assissted vaginal delivery using extraction vacum, and evaluate factors related to urinary retention.Method: The study was prospective cohort design, conducted in 3 hospitals and 2 primary health centres during 6 month period since September 2013- February 2014. Subjects were divided into two groups i.e. normal delivery and assissted delivery using extraction vacum, each 118 subjects. Events of urinary retention was assessed and also related factors were identified. Analysis used Chi-Square test, Fisher test and also logistic regression analysis.Result and Discussion: In total 236 subjects were involved, there was no difference in age and parity among the subjects. Incidence of urinary retention among extraction vacum delivery group was higher (32.2%) compare to normal delivery (11.9%). Multivariate analysis using logistic regression showed that extraction vacum (p=0.074; OR 2.71; 95% CI 1.55-4.73), baby weight (p= 0.230; OR 1.95; 95% CI 0.655.84) and perineal injury (p= 0.614; OR 1.35; 95% CI 0.41-4.36) were not significant risk factors for urinary retention. Length of labour (p=0.003; OR 3.71; 95% CI 1.55-8.86) and parity (p= 0.023; OR 2.29; 95% CI 1.2-4.66) were significant risk factors for urinary retention.Conclusion: Urinary retention is higher among vaginal delivery with extraction vacum compare to normal delivery. Length of labour and parity are external factors related to urinary retention. Keywords: Assissted vaginal delivery, extraction vacum, normal delivery, urinary retention, postpartum
HUBUNGAN MANAJEMEN AKTIF KALA TIGA DENGAN INISIASI MENYUSUI DINI DI KABUPATEN SUMEDANG TAHUN 2010
Authors: Ana Ade , Dasuki Djaswadi , Taufiqurahman Irwan
Published: July 2018

Background: Intervention in activemanagement of the third stage of labor (AMTSL) is aimed to accelerate the deliveryof the placenta, to prevent and reduce blood loss in the third stage of labor. Early initiation of breastfeeding facilitates,a baby to start breastfeeding right away, that aims to stimulate the baby’s suckling reflex for increasingmilk production.This practice can reduce the risk of infant mortality due to hypothermia and infection in infants under 1 month. There are several obstacles in its implementation, due to policy, providers and client. It is important to implement AMTSLand early initiation of breastfeeding to improve the health of mothers and infants accordingly.Objective: To determine the implementation of activemanagement of the third stage and early breastfeeding initiationMethods: This study was an observational study with cross sectional design. The samples were 166 postpartummothers and newborns in public hospitals and health centers at District of Sumedang. Analysis of the data usedunivariate analysis, bivariate analysis using Chi-square and multivariate analysis using logistic regression.Results and Discussion: RThe prevalence of active management of the third stage success was 77,1 % and 48,8 %was completed with early initiation of breastfeeding. There was a significant relationship between the success ofearly breastfeeding initiation after active management of the third stage (OR= 3,1, 95 % CI= 1,12-8,49 ). Otherfactors that related were the support of providers, client support and delivery place. Less supportive policy, noten steps to successful breastfeeding and lack of trained personnel led to differences in perception. Lack of staffmotivation and clear information caused the client did not understand the importance of both these proceduresdone.Conclusion: The success of active management of the third stage and early breastfeeding initiation can be achieved ifthere was a comprehensive support from policy makers (policy side), service providers (support side) and servicerecipients (demand side)
Argumentation theory: competition between modern research approaches
Authors: Мигунов Анатолий , Migunov Anatoliy , Лисанюк Елена , Lisanyuk Elena
Published: July 2018

To overcome the crisis in the sphere of argumentation studies, the project proposes a logical-cognitive concept of argumentation which is a compound formalized theory that includes formalisms for modeling argumentation of different types, a relevant conceptual framework and a methodology for the use of scientific research in the practice. Three types of argumentation are defined: theoretical (two types) and practical. Theoretical argumentation is a critical discussion of the agents’ knowledge and opinions about facts aimed to substantiate a certain view or to change it – i.e. persuasion. Practical argumentation is a critical discussion of opinions about actions which includes, in addition to the statements about knowledge and opinions, statements of a non-descriptive nature about the agents’ values and intentions to adhere to a certain line of behavior. The study of argumentation needs to focus on the large structures that reflect specifics of the criticism and defense of the positions of the parties. An atom unit of such study is the argument as a statement of reason, while its molecular elements are the argumentative structure of a dispute (frame), a multitude of arguments that express the parties’ positions, a multitude of the agents’ knowledge and opinions that act as the bases for the formation of positions, lines of behavior, etc. Within the framework of this trend, both indefeasible (deductive) and defeasible argumentations can be studied. The argumentation effectiveness can be assessed based on the procedural semantics and using analogues of such logical notions as consistency and completeness. Modern approaches to the argumentation, including those claiming the compound status, can be classified using two methods: based on the substantive and practical criteria. Importance of the research outcomes amounts to the theoretical and methodological role of the new conception of argumentation and the general “umbrella” term argumentation that allows systematizing the manifold research and educational approaches and concepts in this field and is associated with communicative nature of modern social life where efficiency and social success rely on argumentative and narrative competences.
WOMEN, LAW AND POLICY: CHILD MARRIAGE PRACTICES IN INDONESIA
Authors: Judiasih Sonny Dewi , Suparto Susilowati , Afriana Anita , Yuanitasari Deviana
Published: July 2018

Child marriages are common throughout Indonesia. This is due to a strong influence of Indonesian customs and religion that strongly influence the lives of its people. It is worth pointing that marriage age arrangements in Indonesian Marriage Law reinforces that legal age for men is 19 years and 16 years for women. The 2012 statistics show that Indonesia is the 37th highest in the world in child marriage, while at the Southeast Asian level, this country ranks second after Cambodia. The ranking went up dramatically since in 2016, based on UNICEF, Indonesia ranked the 7th in child marriage worldwide. This means that the practice of child marriage in Indonesia happens, especially to women at the age of 18 years, and there is no discrimination related to the age of marriage. Against this matter, there has been a file for judicial review that demands marriage age for men and women to be pegged at the age of 18 years. However, the Judge of the Constitutional Court, through Decision Number 30-74/PUU-XII/2014, states that age of marriage remains valid for the 19-year-old for man and 16-year-old for women. The struggle does not stop there because at this time, there a national movement of STOP CHILD MARRIAGE formed by civil organisations in cooperation with the Commission of Child Protection and Ministry of Woman Empowerment and Child Protection. This movement sees that the practice of child marriage is a national emergency problem that must be addressed seriously. Further, this movement demands immediate enactment of government regulation in favour of the law which must promptly revise the Marriage Law, especially related to the marriage age.
The development of doctoral degree curriculum in England: Perspectives from professional doctoral degree graduates
Authors: Dos Santos Luis Miguel , Lo Ho Fai
Published: July 2018

The paper investigates two issues surrounding the field of higher education leadership, particularly in doctoral education, namely the reasons why potential doctoral students decided to enroll in a professional doctorate instead of a traditional Doctor of Philosophy (PhD) and how did professional doctorate status enhance its graduates’ professional development and career promotion.  Guided by the Social Cognitive Career Theory (SCCT), 20 professional doctorate graduates who are members of a professional association in London were invited as participants. The paper discovers that in the view of professional doctorate graduates, the program offers the flexibility for professionals to enjoy the rigorous education at doctoral level.  Second, the curriculum of the professional doctorate allows graduates to apply both theories and practical applications into their current workplace directly.  Third, the rich supports from lecturers enhancing the prosperity of professional doctorate graduates’ life experience.  This study provides solid evidence and recommendation for university administrators, policy makers, organizational employers, and potential doctoral students in the United Kingdom and other Anglophone countries to understand the learning outcomes and gained skills of professional doctorates. Keywords: career counseling; doctoral student experience; professional doctorate; qualitative
O DESAFIO DE DIZER A CULTURA EM ANÁLISE DO DISCURSO
Authors: Ramos Thaís Valim
Published: July 2018

Este artigo, situado no âmbito da análise do discurso pecheutiana, busca discutir o conceito de cultura neste campo de estudo. Nesta reterritorialização é necessário relacionar o conceito de cultura com conceitos chave nesta área, tal qual a ideologia. Na busca por um ponto de encontro entre estes conceitos podemos encontrar alguma resistência por parte de teóricos dado o caráter fixista atribuído à cultura. Entretanto, consideramos que este caráter fixista da cultura é um efeito ideológico que visa garantir a resignação dos sujeitos ao grupo ao qual pertencem. Ao trazermos a cultura para o campo da AD, reconhecemos seu caráter ilusório, como também seu caráter dinâmico, o qual permite conceber a cultura como um “lugar de interpretação” (DeNardi, 2007), no qual subjazem as relações de poder.PALAVRAS-CHAVE: cultura; ideologia; análise do discurso.
MANUAL OF DEIXIS
Authors: Ciulla Alena
Published: July 2018

Resenha
The impact of public listing on bank profitability
Authors: Park Miri , Song Hyeonji , Niu Jijun
Published: July 2018

This paper examines the impact of public listing on bank profitability. Using a large sample of US banks, we find that the impact depends on bank size. Specifically, for small and medium-sized banks, the public listing has a negative impact on profitability. In contrast, for large banks, the impact is positive. Our results are consistent with theories predicting that the net benefit of public listing increases with firm size
Drenaje trans-gastrico de pseudoquiste pancreático en paciente pediátrico
Authors: Zárate Suárez Luis Augusto , Mendoza Saavedra Jairo Enrique , Tovar Fierro Germán , Arenas Pinzón Maria Alejandra
Published: July 2018

Un pseudoquiste pancreático es una acumulación de líquido casi siempre estéril, rico en enzimas digestivas y jugo pancreático encapsulado en una pared de tejido fibroso y de granulación sin revestimiento epitelial, generalmente de forma ovalada o redondeada. Este tipo de pseudoquistes se pueden desarrollar por complicaciones en el páncreas que conllevan a obstrucción o rotura de un conducto pancreático. Se presenta el caso de un paciente masculino de 9 años con diagnóstico de pseudoquiste pancreático con crecimiento progresivo, debido a trauma abdominal cerrado. Se realizó manejo multidisciplinario para determinar el tratamiento. Por las características del pseudoquiste se definió drenaje endoscópico transgástrico. El procedimiento llevado a cabo es descrito en el presente documento. El paciente evolucionó satisfactoriamente.
Enfoque de la diarrea en pacientes infectados con VIH
Authors: Gomez Venegas Alvaro Andres , Moreno Castaño Luis Alfredo , Roa Chaparro Jairo Alonso
Published: July 2018

La diarrea es el síntoma gastrointestinal más frecuente en las personas infectadas por el virus de la inmunodeficiencia humana. La diarrea puede aparecer como consecuencia de infección por un germen oportunista, así como ser un efecto secundario del tratamiento antirretroviral. Esta puede a su vez ser aguda o crónica, siendo esta ultima la que conlleva a mayor morbilidad y alteración en la calidad de vida del paciente. El enfoque diagnostico se realiza por etapas que van desde una historia clínica completa, hasta estudios de tipo microbiológicos, endoscópicos y de imágenes. Finalmente, si se han descartado causas infecciosas u orgánicas (enteropatía idiopática), se brindará manejo al paciente, buscando alivio sintomático y optimizando la adherencia al tratamiento antirretroviral.
STUDENTS IMPROVEMENT OF READING ALOUD THROUGH PHONOLOGICAL MODELING TECHNIQUES AT SDN 02 PANGGAHAN IV CLASS
Authors: Irfadila Mimi Sri
Published: July 2018

Learning the Indonesian Language, specially reading aloud in Elementary School must use various techniques. This causes, less motivated students to learn independently and less ability in reading aloud. The solution to resolve problems is apply of modeling phonological techniques in teaching reading aloud. This technique aims at improving reading skills. The phonological modeling technique can be applied by focusing on the pronunciation of phonemes. This research is a classroom action research using descriptive methods. The population are all of student at SDN 02 Paninggahan. The sample is fourth grade students of SDN 02 Paninggahan.The concluded of the research are: 1) learners are more motivated to participate in learning Indonesian language with phonological modeling techniques.  2) Increased thoroughness every aspect / indicator on the first cycle and second cycle increased. The increase occurred in the pronunciation of the phoneme /f/, /u/, /a/, /i/, /k/, and /n/.
RELATIONSHIPS BETWEEN READING SKILL AND WRITING SKILL OF POPULAR ARTICLES BASED ON CLASS STUDY CLASS XI SMA NEGERI 5 PADANG
Authors: Najmi Najmi , Atmazaki Atmazaki , Abdurrahman Abdurrahman
Published: July 2018

This research is purposed to explain subsequent concerns. Describe the relationship between student’s critical ability and student’s popular-article writing skill in class XI SMA Negeri 5 Padang and describe the relationship between critical reading ability and popular-article writing skill based on student’s visual learners, auditory learners,  tactual learners at class XI SMA Negeri 5 Padang. This correlation research is taken population of students in class XI SMA Negeri 5 Padang year of school 2013/2014. Sample collection in 30 students this research is conducted by using proportional random sampling. Research instrumen is objective test to critical reading, working test to popular-article writing skill and questionnaire to learning style. data were analyzed b describe correlation.This research find out the magnitude of relationship between critical reading ability and popular-article writing skill, whether individually or collectively, based on student’s learning style.The result of the research indicated that (1) there is a significant relationship between student’s critical reading ability and popular-article writing skill at the rate of 0.466; (2) There is a significant relationship between student’s critical reading ability and popular-article writing skill based on visual learners at the rate of 0.61; (3) There is a significant relationship between student’s critical reading ability and popular-article writing skill based on auditory learners at the rate of 0.633; (4) There is a significant relationship between student’s critical reading ability and popular-article writing skill based on tactual learners at the rate of 0.52. It can be concluded that critical reading ability, as individually or collectively, have a contribution in student’s popular-article writing skill in class XI SMA Negeri 5 Padang.
THE DIFFERENCES BETWEEN STUDENTS' WRITING NARRATIVE WITH COOPERATIVE LEARNING MODEL OF CIRC AND JIGSAW BY CONSIDERING MOTIVATION OF CLASS VII SMP NEGERI 28 PADANG
Authors: Yudha Nicky Prima , Ramadhan Syahrul , Manaf Ngusman Abdul
Published: July 2018

This study was conducted to explain (a) the difference in narrative essay writing skills of students who are taught using cooperative learning model CIRC with Jigsaw (b) differences in the ability to write narrative essays highly motivated students who are learning with cooperative learning model CIRC with Jigsaw; (c) differences in the ability to write narrative essays low motivated students who are learning to cooperative learning model CIRC with Jigsaw; and (d) the interaction between the use of models in the study of learning and motivation affect the ability of students to write a narrative essay. This study was a quasi-experimental (quasi-experiment) using a 2x2 factorial design. Population of 250 people, the study sample is taken by means of random sampling and obtained class VII / 2 as an experimental class I and class VII / 1 as the experimental class II, each consisting of 30 and 32 students. Data were collected by two instruments, namely motivation questionnaire and performance test writing narrative essays. Analyzing and discussion of the data is done by descriptive-analytical. Based on the results of data analysis, we can conclude the following four things. First, there are no significant differences in narrative essay writing skills of students who are taught using cooperative learning model CIRC with Jigsaw. Secondly, there is no significant difference in the ability to write narrative kararangan highly motivated students who are learning with cooperative learning model CIRC and Jigsaw. Third, there is no significant difference in the ability to write narrative kararangan low motivated students who are learning to cooperative learning model CIRC and Jigsaw. Fourth, there is no interaction between the model of learning with learning motivation in influencing the ability to write narrative essays seventh grade students of SMP Negeri 28 Padang. The use of models and Jigsaw cooperative CIRC can enhance students' ability to write a narrative essay, motivated either high or low.
Strategi Pemasaran Sekolah Dalam Peningkatan Minat Peserta Didik Berdasarkan Delta Model
Authors: Margareta Ririn Tius Eka , Ismanto Bambang , Sulasmono Bambang Suteng
Published: July 2018

The purpose of this study is to develop a school marketing strategy in increasing customer interest. This research is limited to the stage of product manufacturing. Data were collected using documentation study, observation, and in-depth interviews. Data is validated by source and techniques triangulation. Data analysis techniques using Miles and Huberman Model (interactive model): data reduction, presentation data, and conclusion/verification. The result of this research: 1) the implemented strategy is to use a promotional strategy by spreading brochures and/or presentations to predetermined schools and churches, word of mouth organizing month language events every year, and activities/program held/followed by school, 2) obstacles and lack of marketing strategy implemented by this school in increasing the interest of learners that time management is not right, committee less active, foundation not yet involved, dissemination of brochure less effective, marketing is less extensive, does not yet have a document of school marketing strategy, and has not been able to ensure and communicate that the services offered are relevant to the needs of the community, and 3) The resulting product is a school marketing strategy based on the Delta Model in the interest of learners: a) Best Product Strategy: conducting holistic education through various school activities/programs that are unique and relevant to customer needs, and apply multi payment system to simplify customer conduct financial transactions; b) Total Customer Solutions Strategy: maximize resources owned by the company and facilitate the human resources who participate in the competitions/activities to meet their needs, and give appreciation of the effort/achievement of human resources; and c) System Lock-In Strategy: enforcing contract system with certain experts/clients within a certain period of time to lock customer, implement career path system for teachers and school staff, and have special cooperation and instructions which applies to alumni, high school favorites, certain universities, and other educational institutions.
Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition
Authors: He Keke , Fu Yanwei , Zhang Wuhao , Wang Chengjie , Jiang Yu-Gang , Huang Feiyue , Xue Xiangyang
Published: July 2018

Facial attribute recognition is an important and yet challenging research

topic. Different from most previous approaches which predict attributes

only based on the whole images, this paper leverages facial parts

locations for better attribute prediction. A facial abstraction image

which contains both local facial parts and facial texture information

is introduced. This abstraction image is generated by a Generative

Adversarial Network (GAN). Then we build a dual-path facial attribute

recognition network to utilize features from the original face images

and facial abstraction images. Empirically, the features of facial

abstraction images are complementary to features of original face

images. With the facial parts localized by the abstraction images,

our method improves facial attributes recognition, especially the

attributes located on small face regions. Extensive evaluations conducted

on CelebA and LFWA benchmark datasets show that state-of-the-art performance

is achieved.
Human Motion Generation via Cross-Space Constrained Sampling
Authors: Huang Zhongyue , Xu Jingwei , Ni Bingbing
Published: July 2018

We aim to automatically generate human motion sequence from a single input person image, with some specific action label. To this end, we propose a cross-space human motion video generation network which features two paths: a forward path that first samples/generates a sequence of low dimensional motion vectors based on Gaussian Process (GP), which is paired with the input person image to form a moving human figure sequence; and a backward path based on the predicted human images to re-extract the corresponding latent motion representations. As lack of supervision, the reconstructed latent motion representations are expected to be as close as possible to the GP sampled ones, thus yielding a cyclic objective function for cross-space (i.e., motion and appearance) mutual constrained generation. We further propose an alternative sampling/generation algorithm with respect to constraints from both spaces. Extensive experimental results show that the proposed framework successfully generates novel human motion sequences with reasonable visual quality.
Semantic Locality-Aware Deformable Network for Clothing Segmentation
Authors: Ji Wei , Li Xi , Zhuang Yueting , Bourahla Omar El Farouk , Ji Yixin , Li Shihao , Cui Jiabao
Published: July 2018

Clothing segmentation is a challenging vision problem typically implemented within a fine-grained semantic segmentation framework. Different from conventional segmentation, clothing segmentation has some domain-specific properties such as texture richness, diverse appearance variations, non-rigid geometry deformations, and small sample learning. To deal with these points, we propose a semantic locality-aware segmentation model, which adaptively attaches an original clothing image with a semantically similar (e.g., appearance or pose) auxiliary exemplar by search. Through considering the interactions of the clothing image and its exemplar, more intrinsic knowledge about the locality manifold structures of clothing images is discovered to make the learning process of small sample problem more stable and tractable. Furthermore, we present a CNN model based on the deformable convolutions to extract the non-rigid geometry-aware features for clothing images. Experimental results demonstrate the effectiveness of the proposed model against the state-of-the-art approaches.
Alternating-time Temporal Logic on Finite Traces
Authors: Belardinelli Francesco , Lomuscio Alessio , Murano Aniello , Rubin Sasha
Published: July 2018

We develop a logic-based technique to analyse finite interactions in multi-agent systems. We introduce a semantics for Alternating-time Temporal Logic (for both perfect and imperfect recall) and its branching-time fragments in which paths are finite instead of infinite.  We study validities of these logics and present optimal algorithms for their model-checking problems in the perfect recall case.
Nonrigid Points Alignment with Soft-weighted Selection
Authors: Li Xuelong , Yang Jian , Wang Qi
Published: July 2018

Point set registration (PSR) is a crucial problem in computer vision and pattern recognition. Existing PSR methods cannot align point sets robustly due to degradations, such as deformation, noise, occlusion, outlier, and multi-view changes. In this paper, we present a self-selected regularized Gaussian fields criterion for nonrigid point matching. Unlike most existing methods, we formulate the registration problem as a sparse approximation task with low rank constraint in reproducing kernel Hilbert space (RKHS). A self-selected mechanism is used to dynamically assign real-valued label for each point in an accuracy-aware weighting manner, which makes the model focus more on the reliable points in position. Based on the label, an equivalent matching number optimization is embedded into the non-rigid criterion to enhance the reliability of the approximation. Experimental results show that the proposed method can achieve a better result in both registration accuracy and correct matches compared to state-of-the-art approaches.
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
Authors: Park David Keetae , Yoo Seungjoo , Bahng Hyojin , Choo Jaegul , Park Noseong
Published: July 2018

Recently, generative adversarial networks (GANs) have shown promising performance in generating realistic images. However, they often struggle in learning complex underlying modalities in a given dataset, resulting in poor-quality generated images. To mitigate this problem, we present a novel approach called mixture of experts GAN (MEGAN), an ensemble approach of multiple generator networks. Each generator network in MEGAN specializes in generating images with a particular subset of modalities, e.g., an image class. Instead of incorporating a separate step of handcrafted clustering of multiple modalities, our proposed model is trained through an end-to-end learning of multiple generators via gating networks, which is responsible for choosing the appropriate generator network for a given condition. We adopt the categorical reparameterization trick for a categorical decision to be made in selecting a generator while maintaining the flow of the gradients. We demonstrate that individual generators learn different and salient subparts of the data and achieve a multiscale structural similarity (MS-SSIM) score of 0.2470 for CelebA and a competitive unsupervised inception score of 8.33 in CIFAR-10.
Dual Conditional GANs for Face Aging and Rejuvenation
Authors: Song Jingkuan , Zhang Jingqiu , Gao Lianli , Liu Xianglong , Shen Heng Tao
Published: July 2018

Face aging and rejuvenation is to predict the face of a person at different ages. While tremendous progress have been made in this topic, there are two central problems remaining largely unsolved: 1)

the majority of prior works requires sequential training data, which is very rare in real scenarios, and 2) how to simultaneously render aging face and preserve personality.

To tackle these issues, in this paper, we develop a novel dual conditional GAN (DCGAN) mechanism, which enables face aging and rejuvenation to be trained from multiple sets of unlabeled face images with different ages.

In our architecture, the primal conditional GAN transforms a face image to other ages based on the age condition, while the dual conditional GAN learns to invert the task.

Hence a loss function that accounts for the reconstruction error of images can preserve the personal identity, while the discriminators on the generated images learn the transition patterns (e.g., the shape and texture changes between age groups) and guide the generation of age-specific photo-realistic faces.

Experimental results on two publicly dataset demonstrate the appealing performance of the proposed framework by comparing with the state-of-the-art methods.
Hierarchical Graph Structure Learning for Multi-View 3D Model Retrieval
Authors: Su Yuting , Li Wenhui , Liu Anan , Nie Weizhi
Published: July 2018

3D model retrieval has been widely utilized in numerous domains, such as computer-aided design, digital entertainment and virtual reality. Recently, many graph-based methods have been proposed to address this task by using multiple views of 3D models. However, these methods are always constrained by the many-to-many graph matching for similarity measure between pair-wise models. In this paper, we propose an hierarchical graph structure learning method (HGS) for 3D model retrieval. The proposed method can decompose the complicated multi-view graph-based similarity measure into multiple single-view graph-based similarity measures. In the bottom hierarchy, we present the method for single-view graph generation and further propose the novel method for similarity measure in single-view graph by leveraging both node-wise context and model-wise context. In the top hierarchy, we fuse the similarities in single-view graphs with respect to different viewpoints to get the multi-view similarity between pair-wise models. In this way, the proposed method can avoid the difficulty in definition and computation in the traditional high-order graph. Moreover, this method is unsupervised and is independent of large-scale 3D dataset for model learning. We conduct extensive evaluation on three popular and challenging datasets. The comparison demonstrates the superiority and effectiveness of the proposed method comparing with the state of the arts. Especially, this unsupervised method can achieve competing performance against the most recent supervised & deep learning method.
Image-level to Pixel-wise Labeling: From Theory to Practice
Authors: Sun Tiezhu , Zhang Wei , Wang Zhijie , Ma Lin , Jie Zequn
Published: July 2018

Conventional convolutional neural networks (CNNs) have achieved great success in image semantic segmentation. Existing methods mainly focus on learning pixel-wise labels from an image directly. In this paper, we advocate tackling the pixel-wise segmentation problem by considering the image-level classification labels. Theoretically, we analyze and discuss the effects of image-level labels on pixel-wise segmentation from the perspective of information theory. In practice, an end-to-end segmentation model is built by fusing the image-level and pixel-wise labeling networks. A generative network is included to reconstruct the input image and further boost the segmentation model training with an auxiliary loss. Extensive experimental results on benchmark dataset demonstrate the effectiveness of the proposed method, where good image-level labels can significantly improve the pixel-wise segmentation accuracy.
Multi-modal Circulant Fusion for Video-to-Language and Backward
Authors: Wu Aming , Han Yahong
Published: July 2018

Multi-modal fusion has been widely involved in focuses of the modern artificial intelligence research, e.g., from visual content to languages and backward. Common-used multi-modal fusion methods mainly include element-wise product, element-wise sum, or even simply concatenation between different types of features, which are somewhat straightforward but lack in-depth analysis. Recent studies have shown fully exploiting interactions among elements of multi-modal features will lead to a further performance gain. In this paper, we put forward a new approach of multi-modal fusion, namely Multi-modal Circulant Fusion (MCF). Particularly, after reshaping feature vectors into circulant matrices, we define two types of interaction operations between vectors and matrices. As each row of the circulant matrix shifts one elements, with newly-defined interaction operations, we almost explore all possible interactions between vectors of different modalities. Moreover, as only regular operations are involved and defined a priori, MCF avoids increasing parameters or computational costs for multi-modal fusion. We evaluate MCF with tasks of video captioning and temporal activity localization via language (TALL). Experiments on MSVD and MSRVTT show our method obtains the state-of-the-art for video captioning. For TALL, by plugging into MCF, we achieve a performance gain of roughly 4.2% on TACoS.
Visual Data Synthesis via GAN for Zero-Shot Video Classification
Authors: Zhang Chenrui , Peng Yuxin
Published: July 2018

Zero-Shot Learning (ZSL) in video classification

is a promising research direction, which aims to

tackle the challenge from explosive growth of video

categories. Most existing methods exploit seento-

unseen correlation via learning a projection between

visual and semantic spaces. However, such

projection-based paradigms cannot fully utilize the

discriminative information implied in data distribution,

and commonly suffer from the information

degradation issue caused by "heterogeneity gap".

In this paper, we propose a visual data synthesis

framework via GAN to address these problems.

Specifically, both semantic knowledge and visual

distribution are leveraged to synthesize video feature

of unseen categories, and ZSL can be turned

into typical supervised problem with the synthetic

features. First, we propose multi-level semantic

inference to boost video feature synthesis, which

captures the discriminative information implied in

joint visual-semantic distribution via feature-level

and label-level semantic inference. Second, we

propose Matching-aware Mutual Information Correlation

to overcome information degradation issue,

which captures seen-to-unseen correlation in

matched and mismatched visual-semantic pairs by

mutual information, providing the zero-shot synthesis

procedure with robust guidance signals. Experimental

results on four video datasets demonstrate

that our approach can improve the zero-shot

video classification performance significantly.