bluuebunny/crossref_metadata_2025 huggingface dataset:
Improving Animal-Human Cohabitation withMachine Learning in Fiber-Wireless Networks
Authors: Singh Sandeep Kumar , Carpio Francisco , Jukan Admela
Published: September 2018

In this paper, we investigate an animal-human cohabitation problem with the help of machine learning and fiber-wireless (FiWi) access networks integrating cloud and edge (fog) computing. We propose an early warning system which detects wild animals nearby road/rail with the help of wireless sensor networks and alerts passing vehicles of possible animal crossing. Additionally, we show that animals' detection at the earliest and the related processing, if possible, at sensors would reduce the energy consumption of edge devices and the end-to-end delay in notifying vehicles, as compared to the scenarios where raw sensed data needs to be transferred up the base stations or the cloud. At the same time, machine learning helps in classification of captured images at edge devices, and in predicting different time-varying traffic profiles-- distinguished by latency and bandwidth requirements-- at base stations, including animal appearance events at sensors, and allocating bandwidth in FiWi access networks accordingly. We compare three scenarios of processing data at sensor nodes, base stations and a hybrid case of processing sensed data at either sensors or at base stations, and showed that dynamic allocation of bandwidth in FiWi access networks and processing data at its origin leads to lowering the congestion of network traffic at base stations and reducing the average end-to-end delay.
Mechanical Properties and In-Situ Deformation Imaging of Micro-Lattices Manufactured by Laser Based Powder Bed Fusion
Authors: du Plessis Anton , Kouprianoff Dean-Paul , Yadroitsava Ina , Yadroitsev Igor
Published: September 2018

This paper reports on the production and mechanical properties of Ti6Al4V micro-lattice structures, with strut thickness nearing the single-track width of the laser-based powder bed fusion (LPBF) system used. Besides providing new information on the mechanical properties and manufacturability of such thin-strut lattices, this paper also reports on the in-situ deformation imaging of micro-lattice structures with 6 unit cells in every direction. LPBF lattices are of interest for medical implants, due to the possibility of creating structures with an elastic modulus close to that of the bones and small pore sizes which allow effective osseointegration. In this work four different cubes were produced by laser powder bed fusion and subsequently analyzed using microCT, compression testing and one selected lattice was subjected to in-situ microCT imaging during compression. The in-situ imaging was performed at 4 steps during yielding. The results indicate that mechanical performance (elastic modulus and strength) correlate well with actual density and that this performance is remarkably good, despite the high roughness and irregularity of the struts at this scale. In-situ yielding is visually illustrated.
Animal Models for Panic Disorder
Authors: Rocha Sueslene Prado , do Carmo Silva Rhayra Xavier , Herculano Anderson Manoel , Maximino Monica Lima , Maximino Caio
Published: September 2018

Panic disorder (PD) is characterized by recurrent and unexpected panic attacks associated with behavioral changes and/or persistent anxiety due to the attacks. The development of behavioral models in animals is important for the understanding of the psychobiological and behavioral bases of PD. The present article reviews the main models used in the current literature. The elevated T-maze, used in rats, presents good predictive validity, but its face validity has been questioned. Models using electrical stimulation of the periaqueductal gray present good face validity, but lesser construct validity. Models relying on predator exposure present good predictive and construct validity. These three approaches seek coherence with theories on PD as a way to increase its translational potential; thus, while the elevated T-maze is supported by the Deakin/Graeff theory, the mouse defense test battery relies on the concept of defensive distance, and periaqueductal gray stimulation is based on the functional neuroanatomy of PD. Moreover, to higher or lower degree the three models are supported by an “etho-experimental” approach, with careful observation of animal behavior as a way of discriminating different defensive strategies that model different aspects of anxiety, fear, and panic. Finally, an alternative/complementary model is proposed that uses zebrafish alarm reaction to study this disorder.
Developing an Effective Formulation for an Acne Treatment Cream with Ocimum Basilicum using Invasome
Authors: Han Hyun Jee
Published: September 2018

Cosmeceuticals formulations of Ocimum Basilicum are designed in an effective base for topical acne-causing inflammation medication using advanced drug delivery system. Acne vulgaris is a common disease found not only among the youth but also among adults. The present study suggests the use of Ocimum Basilicum as a cream for acne treatment. The anti-acne cream is formulated from herbal crude extracts for the antimicrobial and antioxidant activities of the formulation to prevent inflammation which causes acneiform eruption. The study proposes that, along with the formulation of micro-emulsion, the use of invasome will be an effective advanced drug delivery system which can promise a great efficacy and stability performance, while simultaneously ensuring the anti-acne effect by Ocimum Basilicum.
Assessing Waste Taxation: an Empirical Study in a Cge Multi-Pollutant Framework
Authors: Freire-González Jaume , Martinez-Sanchez Veronica , Puig-Ventosa Ignasi
Published: September 2018

Economic theory states that incineration and landfill taxes can be a good policy to reduce environmental impacts of these activities by reducing their importance and associated pollutants, while stimulating reuse and recycling of materials. In this research we assess the economic and environmental effects of these taxes in Spain with the use of a detailed dynamic CGE model, under different scenarios. We focus the economic impact on GDP and sectorial production, and the environmental impact on different impact categories: global warming potential, marine eutrophication potential, photochemical ozone formation potential, particulate matter, human toxicity (cancer and non-cancer), ecotoxicity, and depletion of fossil resources). We find in all scenarios that these taxes have a limited economic impact, while reduce all of the environmental impact categories analyzed.
Multi-Spectral Ship Detection using Optical, Hyperspectral, and Microwave SAR Remote Sensing for Sustainability of the Coastal Region
Authors: Park Kyung-Ae , Park Jae-Jin , Jang Jae-Cheol , Lee Ji-Hyun , Oh Sangwoo , Lee Moon-Jin
Published: September 2018

As human activities of the countries in the East Asia have been remarkably expanding over recent decades, various problems in relation to ships, such as oil spill and many other coastal marine pollution, are continuously occurring in the coastal region. In order to conserve marine resources and prepare for possible ship accidents in advance, the need for efficient ship management is increasing over time. Multi-satellite, multi-sensor, multi-wavelength or multi-frequency observations make it possible to monitor a variety of vessels in the coastal region. This study presents the results of ship detection methodology applied to multi-spectral satellite images in the seas around Korean Peninsula based on optical, hyperspectral, and microwave remote sensing. To detect ships from hyperspectral images with a few hundreds of spectral channels, spectral matching algorithms are used to investigate similarity between the spectra and in-situ measurements. In the case of SAR (Synthetic Aperture Radar) images, the Constant False Alarm Rate (CFAR) algorithm is used to discriminate the vessels from backscattering coefficients of Sentinel-1 SAR and ALOS-2 PALSAR2 images. The present ship detection methods can be extensively utilized for optical, hyperspectral, and SAR images for comprehensive coastal management purposes toward perpetual sustainability in the future.
Will Love Tear Them Apart? Identifying the Eco-Evolutionary Feedbacks of Sexual Traits
Authors: Alpedrinha Joao , Rodrigues Leonor , Magalhães Sara , Abbott Jessica
Published: September 2018

The study of eco-evolutionary feedbacks is in clear recent expansion. However, most studies concern predator-prey and host-parasite interactions, while the analysis of eco-evolutionary feedbacks involving sexual interactions is lagging behind. This is at odds with the potential of these interactions to engage in such processes. Indeed, there is now ample evidence that sexual selection is affected by ecological change. There is also evidence that sexual selection traits evolve rapidly, which may modify the ecological context of species, and thus the selection pressures they will be exposed to. Here, we first set a clear distinction between processes in which ecology drives evolution and those in which the contemporary evolution of populations may change their ecology, depending on which traits act as drivers and objects of change. We then review evidence for these processes and discuss examples of closed eco-evolutionary feedbacks in an attempt to understand how we can tear this loop apart. We suggest that a better understanding of eco-evolutionary feedbacks of sexual selection may help us understand the effects of sexual selection on the rate of adaptation, speciation, and extinction, and thus foster future research in this area.
Addressing Suicide Risk According to Different Healthcare Professionals in Spain: A Qualitative Study
Authors: Muñoz-Sanchez Juan-Luis , Sánchez-Gómez María Cruz , Martín-Cilleros María Victoria , Parra-Vidales Esther , de Leo Diego , Franco-Martín Manuel A.
Published: September 2018

OBJETIVE: This study analyses the views of four groups of healthcare professionals who may play a role in the management of suicidal behaviour. The goal was to identify key factors for suicide prevention in different areas of the healthcare system. METHODOLOGY: Qualitative research was conducted using focus groups made up of different healthcare professionals who participated in the identification, management and prevention of suicidal behaviour. Professionals included were primary care physicians, psychologists, psychiatrists and emergency physicians. RESULTS: ‘Suicide’ was amongst the most relevant terms that came up in discussions most of the times it appeared associated with words such as ‘risk’, ‘danger’ or ‘harm’. In the analysis by categories, the four groups of professionals agreed that interventions in at-risk behaviours are first in importance. Prevention was the second main concern with greater significance among psychiatrists. DISCUSSION: Primary care professionals claim for more time to address patients at risk for suicide and an easier access to and communication with the mental health network. Emergency care professionals have a lack of awareness of their role in the detection of risk for suicide in patients who seek attention at emergency care facilities for reasons of general somatic issues. Mental health care professionals are in high demand in case of self-harm but they would like to receive specific training in dealing with g suicidal behaviour.
An Experimental Characterization for Injection Quantity of a High-Pressure Fuel Injector in GDI Engines
Authors: Tsai Wen-Chang
Published: September 2018

In GDI engine applications, high-pressure (H.P.) injectors typically require to be designed to be capable of rapid response for GDI engines in order to be driven in the rapid response with respect to magnetic actuators, allowing for example more precise air-fuel ratio control in the GDI engines. The H.P. fuel injector is a highly dynamic component requiring careful voltage and pressure input modulation to achieve the required fuel injection quantities of GDI engines. The accurate fuel injection curves are a key influence for this technology, therefore will require the estimation of the fuel ﬂow rate to be realized. In this paper, a PIC microchip for programming injector drive circuits is implemented to improve the performance of a H.P. fuel injector and tested to verify its feasibility. In the proposed injector drive circuit, powers MOSFETs directly control the charging/discharging current by a dsPIC30F4011 microchip. Design and analysis of the proposed injector drive circuit are presented. Next, effects of total pulse width, injector supply voltage, fuel system pressure and PWM operation on fuel injection quantities of a H.P. fuel injector are measured. Also, the measured data of the H.P. fuel injector fed by the injector driving circuit are defined as the fuel injection curves. Finally experimental results are provided for verification of the proposed injector drive circuit.
Architecture and Technology in Paimio Sanatorium
Authors: Heikinheimo Marianna
Published: September 2018

Alvar Aalto created innovative architecture in his breakthrough work, Paimio Sanatorium, located in Southwestern Finland and designed between 1928 and 1933. The technological systems in construction, such as the concrete frame, electricity, air conditioning, and lifts, developed rapidly in the interwar period and Aalto drew influences from the culturally radical modernistic discourse around the CIAM organisation and felt that architecture should respond to the demands of the age. Architecture is an applied form of art, and symbolic expression in architecture is a system with its logic. As a contrast, a building is a technological system and forms a framework within which to solve practical problems. Thus, as a technological system, the building is both material and social, during its construction and after. The theoretical underpinning for the study was the actor-network theory developed since the 1980s by the French sociologist Bruno Latour. This study clearly showed the importance of a collaborative effort in a building project. The most famous architectural solutions for Paimio Sanatorium, a demanding institutional building project, came into being in circumstances where the architect-innovator, Aalto, managed to create a viable and robust hybrid that merged collective competence with material factors.
The Effects of Amelogenin Exon 5 Encoded Peptide from Enamel Matrix Derivative Enhances in Odontoblast like Cells, KN-3 Cells
Authors: Kato Hirohito , Taguchi Yoichiro , Tominaga Kazuya , Imai Kazutaka , Ruan Yaru , Noguchi Masahiro , Tsai Yu-wei , Chen Yi-Chie , Shida Muneyasu , Taguchi Reiko , Maeda Hiroshi , Tanaka Akio , Umeda Makoto
Published: September 2018

Enamel matrix derivative (EMD) is used for periodontal tissue regeneration therapy. We designed a synthetic amelogenin peptide (SP) derived from EMD, and have previously investigated the biological function of SP. However, it is unknown whether SP affects odontoblastic differentiation. In the present study, we investigated the effects of SP in odontoblast-like cells, KN-3 cells. KN-3 cells were treated with SP (0, 1, 10, 100, or 1000 ng/mL) and then cultured for 3, 8, 24, or 48 hours, in order to determine the effects of SP on cell proliferation and detect its optimum concentration. To investigate the effect of SP on odontogenic differentiation, KN-3 cells were treated with SP in odontogenic differentiation medium cultured for 3 or 7 days. Odontogenic differentiation was performed by measuring alkaline phosphatase (ALP) activity, the mRNA expression of dentin sialophosphoprotein (DSPP), the formation of calcified nodules, and calcium deposition into the extracellular matrix. The addition of SP significantly promoted KN-3 cell proliferation; a concentration of 100 ng/ml generated the greatest change in cell proliferation. SP also showed increased expression of markers of odontogenic differentiation and mineralization. These results suggest that SP, derived from EMD, could be a potential for applicate to the dental pulp capping.
HS-SPME-GC-MS Analyses of Volatiles in Plant Populations – Quantitating Compound × Individual Matrix Effects
Authors: Burzynski-Chang Elizabeth A. , Ryona Imelda , Reisch Bruce I. , Gonda Itay , Foolad Majid R. , Giovannoni James J. , Sacks Gavin L.
Published: September 2018

Headspace solid phase microextraction (HS-SPME) coupled to gas chromatography-mass spectrometry is widely employed for volatile analyses of plants, including mapping populations used in plant breeding research. Studies often employ a single internal surrogate standard, even when multiple analytes are measured, with the assumption that any relative changes in matrix effects among individuals would be similar for all compounds, i.e. matrix effects do not show Compound × Individual interactions. We tested this assumption using individuals from two plant populations, an interspecific grape (Vitis spp.) mapping population (n = 140) and a tomato (Solanum spp.) recombinant inbred line (RIL) population (n = 148). Individual plants from the two populations were spiked with a cocktail of internal standards (n = 6, 9, respectively) prior to HS-SPME-GC-MS. Variation in the relative responses of internal standards indicated that Compound × Individual interactions exist but were different between the two populations. For the grape population, relative responses among pairs of internal standards varied considerably among individuals, with a maximum of 249% relative standard deviation (RSD) for the pair of [U13C]hexanal and [U13C]hexanol. However, in the tomato population, relative responses of internal standard pairs varied much less, with pairwise RSDs ranged from 8% to 56%. The approach described in this paper could be used to evaluate the suitability of using surrogate standards for HS-SPME-GC-MS studies in other plant populations.
Governance in Agricultural Value Chains in Tamaulipas, Mexico
Authors: García Fernández Francisco , Domínguez Jardines Ana L. , Galván Vera Antonio , Sánchez Muñoz Nery E.
Published: September 2018

The objective of this study is to determine the type of governance of the four main agricultural value chains in Tamaulipas, northeast of Mexico. For the preparation of this research used a qualitative design, using a questionnaire and semi-structured interviews to a sample of representatives of the four selected chains. The results showed that in all the studied networks, control and coordination capacity is limited by the influence that has a link on the rest of the chain. In all cases, was that the industrial link is who leads the chains and exert control over the rest of the links. The results showed that, when the industrial link is located close geographically to the rest of the links (chains of rice and sugar cane), the chains showed a hierarchical type, where the industrial exercised dominion over the rest of the links and captures most of the income. On the other hand, in chains where control is exercised by links that are outside the territory (chains of soybeans and sorghum), they function as captive chains, putting the rest of the chain to its influence and control.
Genotype Fingerprints Enable Fast and Private Comparison of Genetic Testing Results for Research and Direct-to-Consumer Applications
Authors: Robinson Max , Glusman Gustavo
Published: September 2018

Genetic testing has expanded out of the research laboratory into medical practice and the direct-to-consumer market, and rapid analysis of the resulting genotype data can now have significant impact. We present a method for summarizing personal genotypes as ‘genotype fingerprints’ that meet these needs. Genotype fingerprints can be derived from any single nucleotide polymorphism (SNP)-based assay, and remain comparable as chip designs evolve to higher marker densities. We demonstrate that they support distinguishing types of relationships among closely related individuals and closely related individuals from individuals from the same background population, as well as high-throughput identification of identical genotypes, individuals in known background populations, and de novo separation of subpopulations within a large cohort through extremely rapid comparisons. While fingerprints do not preserve anonymity, they provide a useful degree of privacy by summarizing a genotype in a way that prevents reconstruction of individual marker states. Genotype fingerprints are therefore well-suited as a format for public aggregation of genetic information to support ancestry and relatedness determination without revealing personal health risk status.
Anaerobic Digester Variation on Wastewater Treatment
Authors: Novita Elida , Pradana Hendra Andiananta , Wahyuningsih Sri , Marhaenanto Bambang , Sujarwo Moh. Wawan
Published: September 2018

Wet coffee processing methods will produce wastewater containing organic matter. The high content of organic matter can be utilized as biogas through the anaerobic process. Anaerobic digesters construction can affect removal process of wastewater pollution and biogas quantity. The purpose of this study is to determine the effect of digester construction between conventional digester, CSTR and UASB producing biogas from coffee wastewater.  The conventional digester worked without temperature control system as control, a UASB digester, and CSTR digester worked with temperature control system. Biomass volume was about 5 L with 35 days incubation time. Temperature and pH for UASB and CSTR were set within the range 30 – 35oC and pH 6.0 – 8.0. Based on the feeding variations, UASB has a stable performance with 83.57 ml/day of average biogas production.  It has also highest remediation efficiency of COD, BOD and C/N with 85.00±0.34 %, 84.40%± 5.66 and 97.78± 0.57.
Intercomparison between Switch 2.0 and GE MAPS Models for Simulation of High-Renewable Power Systems in Hawaii
Authors: Fripp Matthias
Published: September 2018

Background: New open-source electric-grid planning models have the potential to improve power system planning and bring a wider range of stakeholders into the planning process for next-generation, high-renewable power systems. However, it has not yet been established whether open-source models perform similarly to the more established commercial models for power system analysis. This reduces their credibility and attractiveness to stakeholders, postponing the benefits they could offer. In this paper, we report the first model intercomparison between an open-source power system model and an established commercial production cost model. Results: We compare the open-source Switch 2.0 to GE Energy Consulting’s Multi Area Production Simulation (MAPS), considering 18 scenarios of renewable energy adoption in Hawaii. We find that after configuring Switch with similar inputs to MAPS, the two models agree closely on hourly and annual production from all power sources. Comparing production gave an R2 value of 0.996 across all energy sources and scenarios, with R2 values in the range of 69–100 percent for individual sources. Conclusions: Although some disagreement remains between the two models, this work indicates that Switch is a viable choice for renewable integration modeling, at least for the small power systems considered here.
Magnetic Moments and Electron Transport through Chromium-based Antiferromagnetic Nanojunctions
Authors: Bragato Marco , Achilli Simona , Cargnoni Fausto , Ceresoli Davide , Martinazzo Rocco , Soave Raffaella , Trioni Mario Italo
Published: September 2018

We report the electronic, magnetic and transport properties of a prototypical antiferromagnetic (AFM) spintronic device. We chose Cr as the active layer because it is the only room-temperature AFM elemental metal. We sandwiched Cr between two non-magnetic metals (Pt or Au) with large spin-orbit coupling. We also inserted a buffer layer of insulating MgO to mimic the structure and finite resistivity of a real device. We found that, while spin-orbit has a negligible effect on the current flowing through the device, the MgO layer plays a crucial role. Its effect is to decouple the Cr magnetic moment from Pt (or Au) and to develop an overall spin magnetization. We have also calculated the spin-polarized ballistic conductance of the device within the Büttiker-Landauer framework, and we have found that for small applied bias our Pt/Cr/MgO/Pt device presents a spin polarization of the current amounting to ~25%.
A Robotic Context Query-processing Framework based on Spatio-temporal Context Ontology
Authors: Lee Seok-Jun , Kim In-Cheol
Published: September 2018

Service robots operating in indoor environments should recognize dynamic changes from sensors, such as RGB-D camera, and recall the past context. Therefore, we propose a context query-processing framework, comprising spatio-temporal robotic context query language (ST-RCQL) and spatio-temporal robotic context query-processing system (ST-RCQP), for service robots. We designed them based on the spatio-temporal context ontology. ST-RCQL can query not only the current context knowledge but also the past. In addition, ST-RCQL includes a variety of time operators and time constants, and thus queries can be written very efficiently. The ST-RCQP is a query-processing system equipped with a perception handler, working memory, and backward reasoner for real-time query-processing. Moreover, ST-RCQP accelerates query-processing speed by building a spatio-temporal index in the working memory, where percepts are stored. Through various qualitative and quantitative experiments, we demonstrate the high efficiency and performance of the proposed context query-processing framework.
Balance Training in Modern Dancers: Proprioceptive-Neuromuscular Training vs Kinesio Taping
Authors: Tekin Demet , Agopyan Ani , Baltaci Gul
Published: September 2018

Kinesio tape and proprioceptive exercises are both used for increasing balance in dancers. The purposes of this study were to: a) determine the acute effect of kinesio tape (KT) application on the ankle joint on balance performance, b) investigate the effects of an 8-week proprioceptive-neuromuscular
(PN) training program on balance performance, and c) compare their effects vs modern dance technique classes alone. Thirty-three trained, university-level modern dance students (9 male, 24 female) were divided randomly into three groups: kinesio tape (KT, n=11), proprioceptive-neuromuscular
(PN, n=11), or control (n=11). Static (turn-out passé-opened eyes/relevé and turn-out passé-closed eyes/flat foot), semi-dynamic (airplane), and dynamic balance (monopodalic-straight and -transverse in a turn-out passé-eyes opened/flat foot) tests were performed
before and after the intervention. One day after pre-tests, KT mechanical correction technique was applied to the left ankle joint (supporting leg) in the KT group, and tests were repeated to determine the acute effect of KT. The PN group participated in an 8-week balance training program
(2 days/wk, 60 min/day) involving exercises using stable and unstable surfaces. Significant improvements were observed for all static and dynamic balance tests in the PN group; semi-dynamic airplane and dynamic monopodalic-straight and transverse tests improved in the KT group; and only semi-dynamic
airplane test scores changed significantly for the control group (p<0.05). Our findings suggest that with the exception of the semi-dynamic airplane test, both PN training and KT application were more effective at improving balance performance for modern dancers than modern dance technique
classes alone.
Cardiorespiratory Profile and Performance Demands of Elite Hip-Hop Dancers: Breaking and New Style
Authors: Wyon Matthew A , Harris Julie , Adams Faye , Cloak Ross , Clarke Francis A , Bryant Janine
Published: September 2018

AIMS: Dancers need to constantly maintain and develop their physiological capabilities to support their performances. Previously these physiological demands have been investigated only in traditional dance styles such as ballet and modern. The aim of this study was to examine the physiological
demands of two types of hip-hop: new style and break dance. METHODS: Nine female new style dancers (age 20±6 yrs, height 163.5±1.4 cm, mass 55.8±22 kg) and 9 male break dancers (age 23±4.2 yrs, height 178.2±5.7 cm, mass 62.1±7.7 kg) volunteered for
the study. Each subject completed a maximal graded treadmill test and a dance performance routine, either new style (approx 1:45–2:30 min) or breaking (2 min). Breathe-by-breathe gas analysis and heart rate (HR) were collected by a portable gas analyser, and blood lactate (BLa) was measured
at the end of the treadmill test and each routine. RESULTS: The male breaker dancers had significantly higher VO2 peak than other equivalent dancers in other genres, whilst the female new style dancers were similar to that previously reported for female dancers. Performance data showed significant
differences between the two styles for VO2, HR, and BLa (p<0.001) and for VO2 and HR relative to individual maximal treadmill data (p<0.05). CONCLUSION: New style is more comparable to other theatrical dance genres, with a lower relative mean VO2 demand, whilst break dance is shorter
in duration, allowing a higher cardiorespiratory demand and generating significant levels of blood lactate. This difference is also reflected in the dancers’ cardiorespiratory profiles.
CONTRIBUTION OF FINANCIAL DEPTH AND FINANCIAL ACCESS TO POVERTY REDUCTION IN INDONESIA
Authors: Pasuhuk Pinkan Mariskania
Published: September 2018

This research attempts to analyze possible relationship between financial depth and financial access indicators with poverty in Indonesia. Financial depth indicators include the ratio of saving over gross domestic regional products and the ratio of credit over gross domestic regional products. Financial access indicators include the number of banks and number of cooperatives, while poverty is measured by poverty headcount ratio. This research is utilizing panel provincial level data in Indonesia consisting of 33 provinces for the period of 2007 to 2015 using OLS estimation with fixed and random effect method. The main findings of this research is that financial development variables showed negative and significant relationship with poverty, confirming the contribution of financial depth and financial access in reducing poverty in Indonesia. However, the saving variable showed contradictory result, suggesting that in regions where saving rate is high, poverty rate tend to be high. The possible explanation is that consumption of private and household sector in the research period contribute significantly to Indonesian GDP, while the financial resources obtained from saving is not channeled to the pro poor investment. Therefore, the effect of consumption is more effective in reducing poverty than the effect of saving. This research will provide academic evidence for the policy makers in implementing financial inclusion policy in Indonesia with the objective of improving the quality of financial services to help alleviate poverty.
PORTFOLIO DIVERSIFICATION OPPORTUNITIES WITHIN EMERGING AND FRONTIER STOCK MARKETS: EVIDENCE FROM TEN ASIAN COUNTRIES
Authors: Narayan Seema Wati , Rehman Mobeen Ur
Published: September 2018

In this paper, we take the case of Asian investors in any one out of ten emerging and frontier Asian (EFA) nations with an investment portfolio comprising of the MSCI of the home country, MSCIs of nine other Asian countries and stock market index of a developed nation. We examine their portfolio diversification opportunities for the period 2000 to 2013 after conditioning for oil price movements and global investor sentiments. Our empirical analyses imply significant opportunities to diversify within Asia. In particular, not all stock markets show a stable long run relationship. The unconditional correlations in the short run and conditioned regression linkages from VECMs are weak and mainly insignificant. Diversification opportunities for investors in some Asian nations improve after hedging for exchange rate movements. Further, we find that the portfolio examined here may lead to greater diversification gains than a portfolio without the nine other Asian countries.
FINANCIALIZATION AND STAGNANT CAPITAL ACCUMULATION IN CHINA
Authors: Lee Chien-Chiang , Liu Guanchun
Published: September 2018

Using the semi-annual data of listed nonfinancial corporations from 2007 to 2015, this paper investigates the effect of financialization on capital accumulation in China. The results show that increased financial profit crowds out real investment, especially for small and private firms. Furthermore, the effect of financialization reverts to be positive in the long run, and its cumulative effect manifests a “U-type” pattern.
Identificación de Poros en Uniones Soldadas Empleando Técnicas de Visión por Computador
Authors: Sánchez Aguiar Andrés Felipe , Espinosa Bedoya Albeiro
Published: September 2018

La inspección visual automática se ha convertido en un proceso con amplia aplicación a nivel industrial en procesos relacionados con la inspección de la calidad en productos. Las uniones soldadas pueden presentar defectos como: salpicaduras, grietas, socavados y poros, generalmente se evalúan en campo en las estructuras empleando personal calificado. En este artículo se presenta un método basado en visión por computador para identificar los poros en uniones soldadas. El método desarrollado alcanza una eficiencia del 78%.
Missing Uniform Costs Classification for Alzheimer’s Disease Treatment and Care
Authors: Maresova Petra , Kuca Kamil
Published: September 2018

Background:

The importance of the issue of the economic burden of treatment and care for people
with dementia is crucial in the developed countries. The European Union and other developed countries are
trying to improve the course of aging population which leads to rising costs. Their uniform registration is also
one of the objectives of the developed countries’ strategic plans to fight dementia. The individual steps of the
plans in practical terms so far are mainly directed to the early diagnosis of diseases, records of the associated
data are so far in the background.

Aim:

The aim of this paper is to specify a set of costs that should be constantly monitored at the national level
within dementia.

Methods:

The main method is a literature review focused on Alzheimer's disease. The searched keywords
were "Alzheimer's disease" and "costs" incurred after 2010. The studies will specify the monitored costs and
determine their minimal penetration, which will then form the basis for recommendations for the monitored
group of costs on a national level.

Results:

Results of the analysis indicate that the following main cost groups are monitored: medical direct
costs (inpatient care, outpatient treatment, medication), non-medical direct costs (day care centres, community
health services, respite care, accommodation costs for patients) and indirect costs (time that the carers dedicate
to the patient). The issue of different naming and groups of costs calls for a common strategy in this area and
defining the minimum items that should be monitored.
An Improved B-hill Climbing Optimization Technique for Solving the Text Documents Clustering Problem
Authors: Abualigah Laith Mohammad , Hanandeh Essam Said , Khader Ahamad Tajudin , Otair Mohammed Abdallh , Shandilya Shishir Kumar
Published: September 2018

Background:

Considering the increasing volume of text document information on Internet
pages, dealing with such a tremendous amount of knowledge becomes totally complex due to
its large size. Text clustering is a common optimization problem used to manage a large amount of
text information into a subset of comparable and coherent clusters.

Aims:

This paper presents a novel local clustering technique, namely, β-hill climbing, to solve the
problem of the text document clustering through modeling the β-hill climbing technique for partitioning
the similar documents into the same cluster.

Methods:

The β parameter is the primary innovation in β-hill climbing technique. It has been introduced
in order to perform a balance between local and global search. Local search methods are
successfully applied to solve the problem of the text document clustering such as; k-medoid and kmean
techniques.

Results:

Experiments were conducted on eight benchmark standard text datasets with different
characteristics taken from the Laboratory of Computational Intelligence (LABIC). The results
proved that the proposed β-hill climbing achieved better results in comparison with the original hill
climbing technique in solving the text clustering problem.

Conclusion:

The performance of the text clustering is useful by adding the β operator to the hill
climbing.
Multi-objective Evolutionary Approach for the Performance Improvement of Learners using Ensembling Feature Selection and Discretization Technique on Medical Data
Authors: Singh Deepak , Sisodia Dilip Singh , Singh Pradeep
Published: September 2018

Background:

Biomedical data is filled with continuous real values; these values in the
feature set tend to create problems like underfitting, the curse of dimensionality and increase in
misclassification rate because of higher variance. In response, pre-processing techniques on dataset
minimizes the side effects and have shown success in maintaining the adequate accuracy.

Aims:

Feature selection and discretization are the two necessary preprocessing steps that were effectively
employed to handle the data redundancies in the biomedical data. However, in the previous
works, the absence of unified effort by integrating feature selection and discretization together
in solving the data redundancy problem leads to the disjoint and fragmented field. This paper proposes
a novel multi-objective based dimensionality reduction framework, which incorporates both
discretization and feature reduction as an ensemble model for performing feature selection and discretization.
Selection of optimal features and the categorization of discretized and non-discretized
features from the feature subset is governed by the multi-objective genetic algorithm (NSGA-II).
The two objectives, minimizing the error rate during the feature selection and maximizing the information
gain, while discretization is considered as fitness criteria.

Methods:

The proposed model used wrapper-based feature selection algorithm to select the optimal
features and categorized these selected features into two blocks namely discretized and nondiscretized
blocks. The feature belongs to the discretized block will participate in the binary discretization
while the second block features will not be discretized and used in its original form.

Results:

For the establishment and acceptability of the proposed ensemble model, the experiment is
conducted on the fifteen medical datasets, and the metric such as accuracy, mean and standard deviation
are computed for the performance evaluation of the classifiers.

Conclusion:

After an extensive experiment conducted on the dataset, it can be said that the proposed
model improves the classification rate and outperform the base learner.
Pleiotropic Effect of Mahanine and Girinimbine Analogs: Anticancer Mechanism and its Therapeutic Versatility
Authors: Maruthanila V. Lenin , Elancheran Ramakrishnan , Kunnumakkar Ajaikumar B. , Kabilan Senthamaraikannan , Kotoky Jibon
Published: September 2018

Emerging evidence present credible support in favour of the potential role of mahanine and girinimbine.
Non-toxic herbal carbazole alkaloids occur in the edible part of Murraya koenigii, Micromelum minutum,
M. zeylanicum, and M. euchrestiolia. Mahanine and girinimbine are the major potent compounds from these species.
In fact, they interfered with tumour expansion and metastasis development through down-regulation of apoptotic and
antiapoptotic protein, also involved in the stimulation of cell cycle arrest. Consequently, these compounds were well
proven for the in-vitro and in vivo evaluation that could be developed as novel agents either alone or as an adjuvant
to conventional therapeutics. Therefore, mahanine and girinimbine analogs have the potential to be the promising
chemopreventive agents for the tumour recurrence and the treatment of human malignancies. In this review, an
updated wide-range of pleiotropic anticancer and biological effects induction by mahanine and girinimbine against
cancer cells were deeply summarized.
Metrics Analysis in Object Oriented and Aspect Oriented Programming
Authors: Gulia Preeti , Khari Manju , Patel Shrikant
Published: September 2018

Background:

Object oriented programming (OOP) is a programming paradigm that
has been used for several years by the software engineering community. The best practice of OOP
was gathered and they are known as Design Patterns. They provide guidelines for developing
flexible software applications. Recent studies claim that some patterns have limitations and their
implementations could be improved. Researchers claim that Aspect Oriented Programming (AOP)
is a paradigm that provides features to overcome the limitations of OOP and patterns. However,
even with the good results achieved using AOP, it is possible to cause side effects in code. We revised
all patents relating to aspect oriented programming of applicability. This paper tries to implement
a subset of the patterns with AOP and identify merits and demerits in comparison with
the traditional OOP implementations. In another term if a method which is called several time in
different class so we use to write code on both classes (if we don’t want to overload it) and manually
write code of function call after those methods which we want to execute.

Methods:

Aspect-Oriented Programming entails breaking down program logic into distinct parts
called so-called concerns. The functions that span multiple points of an application are
called cross-cutting concerns and these cross-cutting concerns are conceptually separate from the
application's business logic. There are various common good examples of aspects like logging,
auditing, declarative transactions, security, and caching, etc.

Results:

after the implement AOP concept with OOPs, the response time is reduce and throughput
rate is increases. And the development of program is become more easy and reliable.

Conclusion:

so those method which is called several time in a program execution these type of
method must be written in AOP so it is triggered automatically when the pointcode if occurred.
Motivating HIV Providers in Vietnam to Learn: A Mixed-Methods Analysis of a Mobile Health Continuing Medical Education Intervention (Preprint)
Authors: Larson Williams Anna , Hawkins Andrew , Sabin Lora , Halim Nafisa , Le Ngoc Bao , Nguyen Viet Ha , Nguyen Tam , Bonawitz Rachael , Gill Christopher
Published: September 2018

BACKGROUND

The Mobile Continuing Medical Education Project (mCME V.2.0) was a randomized controlled trial designed to test the efficacy of a text messaging (short message service [SMS])–based distance learning program in Vietnam that included daily quiz questions, links to readings and online courses, and performance feedback. The trial resulted in significant increases in self-study behaviors and higher examination scores for intervention versus control participants.

OBJECTIVE

The objective of this mixed-methods study was to conduct qualitative and quantitative investigations to understand participants’ views of the intervention. We also developed an explanatory framework for future trial replication.

METHODS

At the endline examination, all intervention participants completed a survey on their perspectives of mCME and self-study behaviors. We convened focus group discussions to assess their experiences with the intervention and attitudes toward continuing medical education.

RESULTS

A total of 48 HIV specialists in the intervention group completed the endline survey, and 30 participated in the focus group discussions. Survey and focus group data suggested that most clinicians liked the daily quizzes, citing them as convenient mechanisms to convey information in a relevant manner. A total of 43 of the 48 (90%) participants reported that the daily quizzes provided motivation to study for continuing medical education purposes. Additionally, 83% (40/48) of intervention participants expressed that they were better prepared to care for patients with HIV in their communities, compared with 67% (32/48) at baseline. Participation in the online coursework component was low (only 32/48, 67% of intervention participants ever accessed the courses), but most of those who did participate thought the lectures were engaging (26/32, 81%) and relevant (29/32, 91%). Focus group discussions revealed that various factors influenced the clinicians’ decision to engage in higher learning, or “lateral learning,” including the participant’s availability to study, professional relevance of the topic area, and feedback. These variables serve as modifying factors that fit within an adapted version of the health belief model, which can explain behavior change in this context.

CONCLUSIONS

Qualitative and quantitative endline data suggested that mCME V.2.0 was highly acceptable. Participant behaviors during the trial fit within the health belief model and can explain the intervention’s impact on improving self-study behaviors. The mCME platform is an evidence-based approach with the potential for adoption at a national scale as a method for promoting continuing medical education.

CLINICALTRIAL

ClinicalTrials.gov NCT02381743; https://clinicaltrials.gov/ct2/show/NCT02381743
Artificial Intelligence in Clinical Health Care Applications: Viewpoint (Preprint)
Authors: van Hartskamp Michael , Consoli Sergio , Verhaegh Wim , Petkovic Milan , van de Stolpe Anja
Published: September 2018

UNSTRUCTURED

The idea of artificial intelligence (AI) has a long history. It turned out, however, that reaching intelligence at human levels is more complicated than originally anticipated. Currently, we are experiencing a renewed interest in AI, fueled by an enormous increase in computing power and an even larger increase in data, in combination with improved AI technologies like deep learning. Healthcare is considered the next domain to be revolutionized by artificial intelligence. While AI approaches are excellently suited to develop certain algorithms, for biomedical applications there are specific challenges. We propose six recommendations—the 6Rs—to improve AI projects in the biomedical space, especially clinical health care, and to facilitate communication between AI scientists and medical doctors: (1) Relevant and well-defined clinical question first; (2) Right data (ie, representative and of good quality); (3) Ratio between number of patients and their variables should fit the AI method; (4) Relationship between data and ground truth should be as direct and causal as possible; (5) Regulatory ready; enabling validation; and (6) Right AI method.
1991 y la simetría bilateral
Authors: Gutiérrez P. René , Pérez Benítez Aarón
Published: September 2018

La simetría desempeña un papel sumamente relevante, no sólo en la química sino, en general, en toda la fenomenología de la naturaleza (Hargittai, 1987). Ahora bien, un aspecto fundamental en la enseñanza de la estereoquímica es la introducción de algunas nociones tales como simetría bilateral y plano de reflexión (el cual es el plano que corta a un objeto en 2 mitades idénticas, por lo que puede concebirse como un espejo plano en el que la mitad del objeto se refleja exactamente con respecto a la otra mitad; y la simetría bilateral es la que resulta al aplicar dicho plano de reflexión).
Investigación-docencia: ¿Un mito o una alternativa?
Authors: Sánchez Delgado Roberto , Rincón Orta César , Lobo Ricardo , Kent Silva Rollin , Gordillo Bárbara , González Cuevas Oscar M. , Fontal Bernardo , Rugarcía Torres Armando , Torrens Hugo
Published: September 2018

Soportando nuestro quehacer universitario se enraizan un sinnúmero de mitos y creencias. Una de estas creencias dice más o menos lo siguiente: para ser un profesor es necesario ser investigador y para serlo, se requiere de un doctorado. De otra manera: un mejor investigador es un mejor profesor. Una más: para mejorar a las universidades es necesario vincular la docencia con la investigación.