bluuebunny/crossref_metadata_2025 huggingface dataset:
GAMBARAN JAMUR Candida sp. DALAM URINE PENDERITA DIABETES MELLITUS DI RSUD dr. RASIDIN PADANG
Authors: Indrayati Sri , Suraini Suraini , Afriani Melda
Published: June 2019

The women with Diabetes Mellitus have extra sugar in the vaginal wall, thus providing food for the growth of fungi such as Candida albicans. Candida is a normal and widely distributed flora in the body especially in the digestive tract mucous membranes (24%) and vaginal mucosa (5-11%). This fungus is opportunistic and some Candida species can cause infections such as Candida tropicalis, Candida glablata and Candida albicans as species that most often cause infection. The disease caused by this fungus is known as Candidiasis and often occurs in the oropharynx and vagina. One of the predisposing factors that can change the saprophytic nature of Candida sp. being a pathogen is Diabetes Mellitus. This study aims to determine the description of Candida sp. in the urine of Diabetes Mellitus patients at the Regional General Hospital Dr. Rasidin Padang in February-June 2018. This study uses descriptive methods. With a population of all urine patients with Diabetes Mellitus patients obtained a sample of 22 patients based on the criteria treated at the Regional General Hospital (RSUD) dr. Rasidin Padang in March-May 2018. Examination of specimens is done macroscopically using PDA media and microscopically with gram staining. The results showed that of the 22 urine samples examined, there were 3 positive samples containing Candida sp fungi with a percentage of 13.64%
PERUBAHAN PENGETAHUAN, SIKAP, DAN PERILAKU IBU DALAM PEMBERIAN MP-ASI ANAK USIA 6-24 BULAN PADA INTERVENSI PENYULUHAN GIZI DI LUBUK BUAYA KOTA PADANG
Authors: Kustiani Ai , Misa Artha Prima
Published: June 2019

In addition to the problem of deficiency and excess nutrients, Indonesia also have chronic malnutrition problems. Chronic malnutrition is a long-term malnutrition that causes stunting in infants. Several factors that cause the high incidence of stunting include lack of knowledge and inadequate nutrition practice. The purpose of this study was to determine the effect of nutritional counseling on changes in knowledge, attitude and behavior of mothers in the provision of MP-ASI children 6-24 months in Lubuk Buaya 2017. The study design was a quasi-group pretest-posttest experiment with a sample 34 people. Counseling was conducted for 3 times (1x / week). Data collection of knowledge variables, attitudes and practices of mothers were conducted using questionnaires. The results showed that there was a significant change (p <0.05) on the knowledge, attitude and practice of mother in giving MP-ASI after giving nutrition counseling. Therefore, nutritional counseling has an effect on improving mother's knowledge, attitude and behavior in giving of MP-ASI at 6-24 months.
PERBANDINGAN KADAR LOGAM KADMIUM (Cd) DALAM URIN PEROKOK AKTIF DAN PASIF DI TERMINAL KOTA PADANG
Authors: Mayaserli Dina Putri , Rahayu Julia Sri
Published: June 2019

Smoking is an activity that is familiar to us in everyday life. Cigarette smoke caused by active smokers to harm the health of the smokers themselves and passive smokers. Cadmium (Cd) is one of the metal compounds contained in tobacco, the higher the level and the longer the exposure, the greater the toxic effect will be given. Metal cadmium (Cd) can cause interference and even able to cause damage to the system that works kidney. Then the rest of metabolism is excreted through the urine. This study aims to determine the ratio of levels of cadmium (Cd) in the urine of active and passive smokers. The type of this research is descriptive observational research with survey method that aims to know the level of Cd in active and passive smoking urine. Determination of cadmium content (Cd) by SSA method (Atomic Absorption Spectrophotometry). Based on urine on active smokers the highest levels of cadmium metal (Cd) were 0.038 mg / L and the lowest cadmium (Cd) content was 0.026 mg / L. in the urine of passive smoking the lowest cadmium (Cd) content is 0.014mg / L and the highest cadmium level is 0.090 mg / L Then tested Mann Whitney Test where the value is 0.028 then p> 0.05 so Ho is accepted and it can be stated that there is no difference cadmium metal content (Cd) in the urine of active smokers and passive shops diterminal padang city
PENGARUH PEMBERIAN PENDIDIKAN SEKSUAL TERHADAP KEJADIAN KEKERASAN SEKSUAL PADA ANAK DI SD NEGERI 04 BALAI RUPIH SIMALANGGANG PAYAKUMBUH TAHUN 2018
Authors: Amalia Endra , Afdila Fatimah Laila , Andriani Yessi
Published: June 2019

Masalah seks masih dianggap tabu dikalangan masyrakat untuk dibicarakan didepan anak-anak apalagi untuk mengajarkannya, sehingga anak cenderung beresiko terhadap kekerasan seksual. Kejadian kekerasan seksual pada anak di Indonesia cenderung mengalami peningkatan, dimana pada tahun 2016 tercatat sebanyak 2676 kasus kekerasan seksual pada anak dan meningkat menjadi 2898 sepanjang Januari-Juli 2017, sedangkan di Simalanggang tercatat sebanyak 393 kasus kekerasan seksual pada anak sepanjang 2016-2017. Penelitian ini bertujuan untuk mengetahui pengaruh pemberian pendidikan seksual terhadap kejadian kekerasan seksual di SDN 04 Balai Rupih Simalanggang Payakumbuh Tahun 2018. Jenis penelitian ini Quasy Eksperimen dengan pendekatan Pretest-posttes one grup Design. Pengambilan sampel menggunakan teknik cluster sampling dengan besar sampel 64 orang. Analisis statistik menggunakan uji wilcoxon. Hasil penelitian penunjukkan bahwa rata-rata kejadian kekerasan seksual sebelum intervensi adalah 13,00 dan setelah intervensi adalah 12,06. Ada perbedaan rerata penurunan kejadian kekerasan seksual sebelum intervensi 13,00 dan sesudah intervensi menurun menjadi 12,00. Hasil analisis statistik menunjukkan bahwa pendidikan seksual berpengaruh signifikan terhadap kejadian kekerasan seksual pada anak SDN 04 Balai Rupih Simalanggang (p = 0,000). Diharapkan kepada semua pihak, terutama orang tua dan guru dapat selalu memberikan pendidikan seksual sedini mungkin kepada anak, agar anak mampu mengetahui dan menghindari resiko kejadian kekerasan seksual.
HUBUNGAN TEKANAN DARAH DENGAN KADAR KOLESTEROL LDL(Low Density Lipoprotein) PADA PENDERITA PENYAKIT JANTUNG KORONERDI RSUP.Dr.M.DJAMIL PADANG
Authors: ERAWATI ERAWATI
Published: June 2019

Coronary heart disease is a disease caused by narrowing of the coronary arteries of the heart. This happens because of its high cholesterol levels can cause atherosclerosis in blood vessels Hypercholesterolemia mainly occurs when increased production of LDL (Low Density Lipoprotein). As a result of the narrowing of blood vessels blood flow to the heart will be disrupted, causing symptoms of chest pain that is a typical symptom of coronary heart disease. Chronic atherosclerosis can cause blood flow to the heart to be disturbed, so that the left ventricle must pump stronger to produce enough force to push blood through the atherosclerotic vascular system that can lead to increased systolic and diastolic blood pressure resulting in hypertension.

This study included descriptive analytic research using cross sectional approach, is dependent variable (incidence of coronary heart disease) and indenpendent variable (blood pressure and LDL cholesterol level) collected at the same time. The study was conducted on September 10, 2016 - April 4, 2017 at the Central Laboratory and Heart Ward RSUP.Dr. M. Djamil Padang. The sampling technique used is purposive sampling, that is the technique of determining the sample with certain consideration. Of 36 samples of patients with coronary heart disease (CHD) showed a correlation between systolic blood pressure with LDL cholesterol level has a value of 0.585> 0.05 which states there is a moderate relationship between the two variables, and has significant significance of 0.00 <0, 05 and Ha are received.

The correlation between diastolic blood pressure and LDL levels has a value of 0,507> 0,05 which states there is a moderate relationship between the two variables, and has significant value of 0.02 significance <0.05 and Ha is accepted. Based on these results then there is a significant relationship between blood pressure with LDL cholesterol levels in the blood.
FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN KEJADIAN OBESITAS PADA MURID SEKOLAH DASAR NEGERI 11 LUBUK BUAYA KOTA PADANG TAHUN 2018
Authors: Yensasnidar Yensasnidar , Nurhamidah Nurhamidah , Putri Atika dewi Kumala
Published: June 2019

Obesitas pada anak saat ini merupakan masalah di seluruh dunia termasuk Indonesia. Prevalensi obesitas pada Tahun 2012 di Indonesia 18,8%. Begitu pula di Sumatera Barat pada Tahun 2011 prevalensi obesitas yaitu 5,4%. Di Kota Padang prevalensi obesitas pada Tahun 2011 yaitu 9,2%. Tujuan penelitian ini adalah untuk mengetahui faktor-faktor yang berhubungan dengan kejadian obesitas pada (pola makan, aktivitas fisik dan konsumsi serat).

Penelitian ini bertujuan untuk menganalisa apakah ada faktor-faktor yang berhubungan antara pola makan, aktivitas fisik, dan konsumsi serat dengan kejadian obesitas pada Murid Sekolah Dasar Negeri 11 Lubuk Buaya Kota Padang Tahun 2018. 

Jenis penelitian ini adalah deskriptif analitik dengan menggunakan desain case control. Sampel pada penelitian ini adalah murid Sekolah Dasar Negeri 11 Lubuk Buaya Tahun 2018 sebanyak 80 kasus adalah anak obesitas (IMT/U > +25) dan kontrol adalah anak tidak obesitas. orang dengan menggunakan teknik simple random sampling. Untuk mengetahui adanya hubungan antara variabel dengan terjadinya kejadian obesitas digunakan uji statistik chi square. Hasil analisis univariat Faktor yang secara bermakna berhubungan (p<0,05) dan menjadi faktor risiko terjadinya obesitas pada anak adalah pola makan 47,5% aktivitas fisik 48,8%, konsumsi serat 51,2%.

Kesimpulan dari penelitian ini adalah adanya hubungan antara pola makan, aktivitas fisik dan konsumsi serat dengan kejadian obesitas. Berdasarkan peelitian ini Disarankan bagi anak dan orang tua agar membiasakan diri bersikap positif dan mengontrol diri agar  memiliki pola makan baik, aktivitas fisik ringan, tingkat ekonomi cukup dan konsumsi serat yang cukup supaya terhindar dari penyakit obesitas.
Ghosts of Extinction: an Essay in Spectral Ecopolitics
Authors: Neyrat Frédéric
Published: June 2019

We are not only threatened by the Sixth Extinction, but also haunted. Coming back from the future, the Ghosts of History — some para-Benjaminian creatures—try to tell us how serious the threat is. In this essay, I claim with Derrida that we need to listen to these ghosts, the ghosts of ourselves, of humankind in the company of those succumbing to the ongoing ecocide. Having anchored existence's ghostly dimension in Heidegger's claim according to which Dasein is always already its end, that is to say always already a spectre, I'll sketch out a political ecology of revenants that could envision the justice that is at risk of being impossible in the future. After Dupuy's ‘enlightened catastrophism,’ we need a spectral communism turning our hopelessness into the necessity of a radical politics, a paradoxical kind of justice both proactive and after the fact since its watchwords come from the sacrificed generations that the future will produce. Instead of letting our melancholic relation to the future paralyze us, let's personify our own ghosts before it's too late, now—in extremis.
Puss in Boots Goes to Pleistocene Park
Authors: Bruyère Vincent
Published: June 2019

In this essay, EXT marks the spot where extinction leaves us grieving without grieving protocols—as if there was indeed a time that, paradoxically, only species extinction itself could afford. EXT is a provocation to reconsider the terms of a dedication to the past that, in the context of de-extinction programs, demands its pounds of bioengineered flesh. The past in Pleistocene Park is the site of an open-ended experiment in storytelling set in a climate of uncertainty, where men have vouched to give birth to mammoths, which will in turn ensure that men have a future to remember. It is not unlike that other experiment in which a boy extends his cat's life long enough so that an agile feline can give him in return the narrative life he never had in a first place. The pairing between Zimov's geoengineering proposal and Perrault's fairy tale is a reading experiment meant to mirror the no less fabulous planetary experiments to which we commit our prospects of continuity in a changing world.
The Hydra of Tyranny, The Fall of Robespierre and the Early Demise of Robert Southey's Revolutionary Enthusiasm
Authors: Taylor Jonathan
Published: June 2019

This article explores Robert Southey's pessimistic re-appropriation of the popular revolutionary symbol of the hydra in the closet drama The Fall of Robespierre (1794). Challenging the prevailing view that Southey was an enthusiastic revolutionary throughout the 1790s, the study progresses from an exploration of the hydra's ubiquitous use in revolutionary and loyalist propaganda to an account of Southey's damning re-appropriation of the monster as a symbol for recurrences of tyranny in France's revolutionary governments. Analyses of The Fall of Robespierre, Southey's closet drama Wat Tyler (1794) and epic Joan of Arc (1796) demonstrate that Southey acquired an early conviction that tyranny was a recurrent obstacle to democracy, which rendered revolution futile. Arguing that Southey's revolutionary zeal had largely abated by 1793, I contend that his youthful incredulity about the plausibility of establishing a republic informed, and constitutes a principled explanation for, his notorious apostasy and conservatism in later life.
Byron and Romantic Concepts of Inspiration
Authors: Lessenich Rolf
Published: June 2019

Though treated marginally in histories of philosophy and criticism, Byron was deeply involved in Romantic-Period controversies. In that post-Enlightenment, science-orientated age, the Platonic-Romantic concept of inspiration as divine afflatus linking the prophet-priest-poet with the ideal world beyond was no longer tenable without an admixture of doubt that turned religion into myth. As a seriously-minded Romantic sceptic in the Pyrrhonian tradition and commuter between the genres of sensibility and satire, Byron often refers to the prophet-poet concept, acting it out in pre-Decadent poses of inspiration, yet undercutting it with his typical Romantic Irony. In contrast to Goethe, who insisted on an inspired poet's sanity, he saw inspiration both as a social distinction and as a pathological norm deviation. The more imaginative and poetical the creation, the more insane is the poet's mind; the more realistic and prosaic, the more compos it is, though an active poet is never quite sane in the sense of Coleridge's ‘depression’, meaning his non-visitation by his ‘shaping spirit of imagination’.
Characteristics of Yield and Harvest Index, and Evaluation of Balanced Nutrient Uptake of Soybean in Northeast China
Authors: Jiang Wenting , Liu Xiaohu , Wang Xiukang , Yin Yuan
Published: June 2019

The balance between fertilizer application and plant nutrient demand is essential for ensuring agricultural production because it is effective to prevent nutrient deficiency and excess, especially for soybean. This study used data from 29 sites of field experiments carried out in the soybean planting area of Liaoning province, China in 2011 to 2013. We (i) study the characteristics of yield, nutrient concentration, and harvest index to (ii) valuate the balanced nutrient uptake at different potential yield levels for soybean. The grain yield ranged from 804 to 4484 kg/ha, and average N, P, and K concentrations in grains were 45.7, 5.0, and 10.1 g/kg, respectively, while those in straw were 14.1, 1.8, and 6.7 g/kg, respectively. Average harvest index values of N, P, and K were 0.69, 0.65, and 0.52 kg/kg, respectively, while approximately 69% N and 65% P of the plant were stored in soybean grain, and 48% K was stored in straw. The two boundary lines of the QUEFTS (quantitative evaluation of the fertility of tropical soils) model were aN = 10.5, dN = 20.6, aP = 65.6, dP = 289.6, aK = 30.4, and dK = 162.7 as model parameters. The QUEFTS model estimated the balanced nutrient uptake with yield targets increased following a linear–parabolic–plateau curve. A continual linear increase in grain yield with 65.5 kg N, 7.0 kg P, and 13.9 kg K was required to produce 1000 kg grain, until the yield target reached approximately 60–70% of the potential yield, and the corresponding ratio of N, P, and K was 9.35:1:1.8. Results could be used to estimate balanced nutrient uptake to prevent excessive fertilizer being applied and reduce environment risk for ensuring sustainable agricultural development.
Temporal and Organ-specific Responses in NUE Traits to N Fertilization, Fungicide Intensity and Early Sowing in Winter Wheat Cultivars
Authors: Prey Lukas , Germer Moritz , Schmidhalter Urs
Published: June 2019

Fungicide intensity and sowing time influence the N use efficiency (NUE) of winter wheat but the underlying mechanisms, interactions of plant traits, and the temporal effects are not sufficiently understood. Therefore, organ-specific responses in NUE traits to fungicide intensity and earlier sowing were compared at two nitrogen (N) levels for six winter wheat cultivars in 2017. Plants were sampled at anthesis and at maturity and separated into chaff, grain, culms, and three leaf layers to assess their temporal contribution to aboveground dry matter (DM) and N uptake (Nup). Compared to the control treatment, across cultivars, the treatment without fungicide mostly exerted stronger and inverse effects than early sowing, on grain yield (GY, −12% without fungicide, +8% n.s. for early sowing), grain Nup (GNup, −9% n.s., +5% n.s.) as well as on grain N concentration (+4%, −2% n.s.). Grain yield in the treatment without fungicide was associated with similar total DM, as observed in the control treatment but with lower values in harvest index, thousand kernel weight, N use efficiency for GY (NUE) and N utilization efficiency. Lower GNup was associated with similar vegetative N uptake but lower values in N translocation efficiency and N harvest index. In contrast, early sowing tended to increase total DM at anthesis and maturity as well as post-anthesis assimilation, at similar harvest index and increased the number of grains per spike and total N use efficiency. Total N uptake increased after the winter season but was similar at anthesis. Although the relative N response in many traits was lower without fungicide, few fungicide x interactions were significant, and the sowing date did not interact either with N fertilization for any of the N and DM traits. The results demonstrate the positive effects of fungicides and earlier sowing on various traits related to yield formation and the efficient use of nitrogen and are discussed based on various concepts.
Looking for Visitor’s Effect in Sanctuaries: Implications of Guided Visitor Groups on the Behavior of the Chimpanzees at Fundació Mona
Authors: López-Álvarez Jana , Sanjorge Yaiza , Soloaga Sara , Crailsheim Dietmar , Llorente Miquel
Published: June 2019

The question of ‘if and how captive primates are affected by visitors’ has gained increasing attention over the last decades. Although the majority reported undesirable effects on behavior and wellbeing, many studies reported contradicting results. Most of these studies were conducted at zoos, typically with little or no control over visitors’ actions. Yet little is known about the impact under very controlled visitor conditions. In order to fill this gap, we conducted this study at a primate sanctuary which allows public access only via a guided visit under strict supervision. We observed 14 chimpanzees, recording their behavior during, after and in the absence of guided visits over a 10-month period. Furthermore, we categorized the visitors regarding group size and composition to see if certain group types would produce a stronger impact on the chimpanzees’ behavior. As expected, we found visitors at the sanctuary to produce only a neutral impact on the chimpanzees’ behavior, detecting a slight increase of locomotion and decrease of inactivity during visitor activities with chimpanzees demonstrating more interest towards larger sized groups. We argue that the impact has been greatly mitigated by the strict visitor restrictions and care strategies allowing chimpanzees a certain control regarding their visibility.
Comprehensive Resource Utilization of Waste Using the Black Soldier Fly (Hermetia illucens (L.)) (Diptera: Stratiomyidae)
Authors: Liu Cuncheng , Wang Cunwen , Yao Huaiying
Published: June 2019

The black soldier fly, Hermetia illucens (L.) (Diptera: Stratiomyidae), is a saprophytic insect that can digest organic wastes, such as animal manure, plant residues, and food and agricultural wastes. In the degradation process, organic wastes are converted into protein, grease, and polypeptides, which can be applied in medicine, the refining of chemicals, and the manufacturing of feedstuffs. After their conversion by the H. illucens, organic wastes not only become useful but also environmentally friendly. To date, the H. illucens has been widely used to treat food waste and to render manure harmless. The protein and grease obtained via this insect have been successfully used to produce livestock feed and biodiesel. In this article, the biological characteristics, resource utilization of protein and grease, and environmental functions of the H. illucens are summarized. This article provides a theoretical basis for investigating potential applications of the H. illucens.
Development of a Kernel Extreme Learning Machine Model for Capacity Selection of Distributed Generation Considering the Characteristics of Electric Vehicles
Authors: Yin Zhongdong , Tu Jingjing , Xu Yonghai
Published: June 2019

The large-scale access of distributed generation (DG) and the continuous increase in the demand of electric vehicle (EV) charging will result in fundamental changes in the planning and operating characteristics of the distribution network. Therefore, studying the capacity selection of the distributed generation, such as wind and photovoltaic (PV), and considering the charging characteristic of electric vehicles, is of great significance to the stability and economic operation of the distribution network. By using the network node voltage, the distributed generation output and the electric vehicles’ charging power as training data, we propose a capacity selection model based on the kernel extreme learning machine (KELM). The model accuracy is evaluated by using the root mean square error (RMSE). The stability of the network is evaluated by voltage stability evaluation index (Ivse). The IEEE33 node distributed system is used as simulation example, and gives results calculated by the kernel extreme learning machine that satisfy the minimum network loss and total investment cost. Finally, the results are compared with support vector machine (SVM), particle swarm optimization algorithm (PSO) and genetic algorithm (GA), to verify the feasibility and effectiveness of the proposed model and method.
Service Innovation Model of the Automobile Service Industry
Authors: Wang Chia-Nan , Day Jen-Der , Farid Muhammad
Published: June 2019

Service innovations in the service industry will improve its ability to compete in maintenance as well as increase the number of customers. Measuring service innovations according to the characteristics of the automobile industry is important. Thus, the aim of this paper is to develop a model to measure service innovation in the automobile service industry. A structural equation model is created based on theory and previous models. Data about the industry’s perception of service innovation are collected from questionnaires in Kaohsiung, Taiwan. Samples were collected from 61 authorized automobile service centers. The results indicate that customer demand, competition, and a knowledge-based network as enabler factors are positively correlated with service innovation. Furthermore, a new service concept, new client interface, new service delivery system, and new technology options are positively related to service innovation. Finally, service innovation has a significant positive effect on a firm’s performance. This study developed an effective service innovation model of the automobile service industry.
Data Mining Methodology for Engineering Applications (DMME)—A Holistic Extension to the CRISP-DM Model
Authors: Wiemer Hajo , Drowatzky Lucas , Ihlenfeldt Steffen
Published: June 2019

The value of data analytics is fundamental in cyber-physical production systems for tasks like optimization and predictive maintenance. The de facto standard for conducting data analytics in industrial applications is the CRISP-DM methodology. However, CRISP-DM does not specify a data acquisition phase within production scenarios. With this chapter, we present DMME as an extension to the CRISP-DM methodology specifically tailored for engineering applications. It provides a communication and planning foundation for data analytics within the manufacturing domain, including the design and evaluation of the infrastructure for process-integrated data acquisition. In addition, the methodology includes functions of design of experiments capabilities to systematically and efficiently identify relevant interactions. The procedure of DMME methodology is presented in detail and an example project illustrates the workflow. This case study was part of a collaborative project with an industrial partner who wanted an application to detect marginal lubrication in linear guideways of a servo-driven axle based only on data from the drive controller. Decision trees detect the lubrication state, which are trained with experimental data. Several experiments, taking the lubrication state, velocity, and load on the slide into account, provide the training and test datasets.
A Simple Convolutional Neural Network with Rule Extraction
Authors: Bologna Guido
Published: June 2019

Classification responses provided by Multi Layer Perceptrons (MLPs) can be explained by means of propositional rules. So far, many rule extraction techniques have been proposed for shallow MLPs, but not for Convolutional Neural Networks (CNNs). To fill this gap, this work presents a new rule extraction method applied to a typical CNN architecture used in Sentiment Analysis (SA). We focus on the textual data on which the CNN is trained with “tweets” of movie reviews. Its architecture includes an input layer representing words by “word embeddings”, a convolutional layer, a max-pooling layer, followed by a fully connected layer. Rule extraction is performed on the fully connected layer, with the help of the Discretized Interpretable Multi Layer Perceptron (DIMLP). This transparent MLP architecture allows us to generate symbolic rules, by precisely locating axis-parallel hyperplanes. Experiments based on cross-validation emphasize that our approach is more accurate than that based on SVMs and decision trees that substitute DIMLPs. Overall, rules reach high fidelity and the discriminative n-grams represented in the antecedents explain the classifications adequately. With several test examples we illustrate the n-grams represented in the activated rules. They present the particularity to contribute to the final classification with a certain intensity.
IBP Based Caching Strategy in D2D
Authors: Shan Chun , Wu Xiao-ping , Liu Yan , Cai Jun , Luo Jian-zhen
Published: June 2019

Device to Device (D2D) communication is a key technology in 5th generation wireless systems to increase communication capacity and spectral efficiency. Applying caching into D2D communication networks, the device can retrieve content from other devices by establishing D2D communication links. In this way, the backhaul traffic can be significantly reduced. However, most of the existing caching schemes in D2D are proactive caching, which cannot satisfy the requirement of real-time updating. In this paper, we propose an Indian Buffet Process based D2D caching strategy (IBPSC). Firstly, we construct a geographical D2D communication network to provide high quality D2D communications according to physical closeness between devices. Then devices are divided into several social communities. Devices are ranked by their node importance to community in each community. The base station makes caching decisions for devices according to contrition degree. Experimental results show that IBPSC achieves best network performance.
Towards Agent Organizations Interoperability: A Model Driven Engineering Approach
Authors: Coutinho Luciano R. , Brandão Anarosa A. F. , Boissier Olivier , Sichman Jaime S.
Published: June 2019

In the research and development of multiagent systems (MAS), one of the central issues is how to conciliate the autonomy of the agents with a desirable and stable behavior of the MAS as a whole. Agent organizations have been proposed as a suitable metaphor for engineering social order in MAS. However, this emphasis has led to several proposals of organizational models for MAS design, thus creating an organizational interoperability problem: How to ensure that agents, possibly designed to work with different organizational models, could interact and collectively solve problems? In this paper, we have adopted techniques from Model Driven Engineering to handle this problem. In particular, we propose an abstract and integrated view of the main concepts that have been used to specify agent organizations, based on several organizational models present in the literature. We apply this integrated view to design MAORI, a model-based architecture for organizational interoperability. We present a MAORI application example that has shown that our approach is computationally feasible, enabling agents endowed with heterogeneous organizational models to cooperatively solve a problem.
A Two-Stage Gradient Ascent-Based Superpixel Framework for Adaptive Segmentation
Authors: He Wangpeng , Li Cheng , Guo Yanzong , Wei Zhifei , Guo Baolong
Published: June 2019

Superpixel segmentation usually over-segments an image into fragments to extract regional features, thus linking up advanced computer vision tasks. In this work, a novel coarse-to-fine gradient ascent framework is proposed for superpixel-based color image adaptive segmentation. In the first stage, a speeded-up Simple Linear Iterative Clustering (sSLIC) method is adopted to generate uniform superpixels efficiently, which assumes that homogeneous regions preserve high consistence during clustering, consequently, much redundant computation for updating can be avoided. Then a simple criterion is introduced to evaluate the uniformity in each superpixel region, once a superpixel region is under-segmented, an adaptive marker-controlled watershed algorithm processes a finer subdivision. Experimental results show that the framework achieves better performance on detail-rich regions than previous superpixel approaches with satisfactory efficiency.
Maternal Leucine-Rich Diet Minimises Muscle Mass Loss in Tumour-bearing Adult Rat Offspring by Improving the Balance of Muscle Protein Synthesis and Degradation
Authors: Miyaguti Natália Angelo da Silva , Oliveira Sarah Christine Pereira de , Gomes-Marcondes Maria Cristina Cintra
Published: June 2019

Cachexia syndrome can affect cancer patients and new prevention strategies are required. Maternal nutritional supplementation can modify metabolic programming in the offspring, which lasts until adulthood. This could be a good approach against diseases such as cancer. A 3% leucine-rich diet treatment improved muscle protein turnover by modifying the mTOR and proteolytic pathways, thus we analysed whether maternal supplementation could ameliorate muscle protein turnover in adult offspring tumour-bearing rats. Pregnant Wistar rats received a control diet or 3% leucine-rich diet during pregnancy/lactation, and their weaned male offspring received a control diet until adulthood when they were distributed into following groups (n = 7–8 per group): C, Control; W, tumour-bearing; L, without tumour with a maternal leucine-rich diet; and WL, tumour-bearing with a maternal leucine-rich diet. Protein synthesis and degradation were assessed in the gastrocnemius muscle, focusing on the mTOR pathway, which was extensively altered in W group. However, the WL adult offspring showed no decrease in muscle weight, higher food intake, ameliorated muscle turnover, activated mTOR and p70S6K, and maintained muscle cathepsin H and calpain activities. Maternal leucine nutritional supplementation could be a positive strategy to improve muscle protein balance in cancer cachexia-induced muscle damage in adult offspring rats.
Efficacy and Toxicity of Weekly Carboplatin and Paclitaxel as Induction or Palliative Treatment in Advanced Esophageal Cancer Patients
Authors: de Man Femke M. , van Eerden Ruben A.G. , Oomen-de Hoop Esther , Veraart Joris N. , van Doorn Nadia , van Doorn Leni , van der Gaast Ate , Mathijssen Ron H.J.
Published: June 2019

Many patients have advanced esophageal cancer at diagnosis. However, the most optimal treatment has not been identified. Therefore, we evaluated a weekly regimen of carboplatin (area under the curve (AUC)) of 4 and paclitaxel at 100 mg/m2 as an induction or palliative treatment. All patients with advanced (gastro)esophageal cancer treated with this regimen between 2002–2018 were included. Exclusion criteria were previous radiotherapy or treatment elsewhere. Data on toxicity, response, and survival were collected. Analyses were performed in two groups: induction (iCT) or palliative chemotherapy (pCT). Median progression free survival (PFS) and overall survival (OS) were estimated with the Kaplan–Meier method. A total of 291 patients was included (iCT: 122; pCT: 169). Most patients had T3 carcinoma (iCT: 54%; pCT: 66%) and stage IV disease (iCT: 42%; pCT: 91%). A toxicity grade ≥3 occurred mainly as hematological toxicity (iCT: 71%; pCT: 73%) and gastrointestinal toxicity (iCT: 3%; pCT: 5%). Response rates were 48% (iCT) and 44% (pCT). Esophagectomy or definitive chemoradiotherapy followed in 42% of iCT, resulting in a PFS of 22.1 months (interquartile range (IQR): 12.4–114.2) and OS of 26.8 months (IQR: 15.4–91.7). For pCT, PFS was 8.2 months (IQR: 5.1–14.5) and OS 10.9 months (IQR: 6.5–18.3). This retrospective cohort study demonstrated that weekly carboplatin (AUC4) and paclitaxel (100 mg/m2) is a well-tolerated and effective induction or palliative treatment regimen for patients with locally advanced or metastatic disease. Future research should directly compare this treatment regimen with other first-line treatment options to determine its true value for clinical practice.
WO3–V2O5 Active Oxides for NOx SCR by NH3: Preparation Methods, Catalysts’ Composition, and Deactivation Mechanism—A Review
Authors: Zhang Weidong , Qi Shuhua , Pantaleo Giuseppe , Liotta Leonarda Francesca
Published: June 2019

Researchers in the field of the selective catalytic reduction (SCR) of nitrogen oxides (NOx: NO, NO2, or N2O) by NH3 are still greatly challenging the optimization of low-temperature activity and selectivity, high-temperature stability, resistance to alkali metals and other poisoning agents, such as Hg, As, etc. The present study reviews the research progress, related to the latest 20 years, on WO3–V2O5-based catalysts that are expected to overcome the catalytic performances of the current SCR catalytic devices. In details, the effects of the synthesis methods, chemical composition, type of supports (metal oxides, molecular sieves, and filters), doping elements, or metal oxides added as promoters of WO3–V2O5-based catalysts and, finally, the influence of SO2 and H2O in the reaction mixture are addressed. The importance of understanding the deactivation mechanism in the presence of several poisoning agents is also emphasized, which should be taken into consideration for the design of new catalysts.
Carbazolyl-Substituted [OSSO]-Type Zirconium(IV) Complex as a Precatalyst for the Oligomerization and Polymerization of α-Olefins
Authors: Nakata Norio , Nakamura Kazuaki , Nagaoka Shotaro , Ishii Akihiko
Published: June 2019

The dibenzyl zirconium(IV) complex (4) incorporating with a carbazolyl(Cbz)-substituted [OSSO]-type bis(phenolate) ligand was synthesized. Upon activation with dried modified methylaluminoxane (dMMAO), precatalyst 4 at relatively low catalyst loadings was found to promote the 1,2-regioselective oligomerization of 1-hexene to produce the corresponding vinylidene-ended oligomers with moderate turnover frequencies (TOFs) up to 2080 h−1. The 13C NMR analysis of the resulting oligomers revealed the formation of dimer-enriched oligo(1-hexene)s in 39–62% distributions. The precatalyst 4 with dried methylaluminoxane (dMAO) also exhibited good performance in the polymerization of styrene yielding isotactic polystyrenes ([mm] > 99%) with quite large molecular weights (Mw < 508,100 g mol−1) and relatively high catalytic activity (up to 2810 g mmol(4)−1 h−1).
Ring Enlargement of Methylcyclopentane over Pt/(HZSM-48+pseudoboehmite) Catalysts
Authors: Park Youri , Kim Yong Cheol , Kim Jinhan , Park Young-Kwon , Choi Yun Seok , Kim Ji Man , Jeon Jong-Ki
Published: June 2019

Platinum catalysts loaded on a hybrid support, composed of HZSM-48 and pseudoboehmite, were applied to the synthesis of benzene through methylcyclopentane (MCP) reforming in order to investigate the effect of the addition of pseudoboehmite to Pt/HZSM-48 for ring-enlargement reaction. A total of 0.5 wt% of platinum was impregnated on the hybrid support by using the incipient wetness method. Catalyst characterization was performed with nitrogen sorption, X-ray diffraction, temperature-programmed desorption of NH3, and infrared spectroscopy of adsorbed pyridine. It was found that mesoporous structures were well-developed in Pt/(HZSM-48 + pseudoboehmite) catalyst as a result of the pseudoboehmite addition, of which the average pore size was in the range of 7–8 nm. The presence of pseudoboehmite in the catalyst increases the total amount of acid sites and weakens the acid strength, compared with those of the Pt/HZSM-48 catalyst. Lewis acid sites were more abundant than Brönsted acid sites over the Pt/(HZSM-48+pseudoboehmite) catalysts. It was found that selectivity to the ring-enlargement reaction is dominant over selectivity to the ring-opening reaction over the Pt/(HZSM-48 + pseudoboehmite) catalysts. The benzene yield over Pt/(HZSM-48 + pseudoboehmite, 1:1) catalyst reached 65.1% at 450 °C and 0.3 h−1. As well as being influenced by the mesoporous structure, the higher activity and selectivity in MCP reforming was also determined by appropriate acidity of the Pt/(HZSM-48 + pseudoboehmite) catalysts.
Degradation Behaviour of Mg0.6Ca and Mg0.6Ca2Ag Alloys with Bioactive Plasma Electrolytic Oxidation Coatings
Authors: Moreno Lara , Mohedano Marta , Mingo Beatriz , Arrabal Raul , Matykina Endzhe
Published: June 2019

Bioactive Plasma Electrolytic Oxidation (PEO) coatings enriched in Ca, P and F were developed on Mg0.6Ca and Mg0.6Ca2Ag alloys with the aim to impede their fast degradation rate. Different characterization techniques (SEM, TEM, EDX, SKPFM, XRD) were used to analyze the surface characteristics and chemical composition of the bulk and/or coated materials. The corrosion behaviour was evaluated using hydrogen evolution measurements in Simulated Body Fluid (SBF) at 37 °C for up to 60 days of immersion. PEO-coated Mg0.6Ca showed a 2–3-fold improved corrosion resistance compared with the bulk alloy, which was more relevant to the initial 4 weeks of the degradation process. In the case of the Mg0.6Ag2Ag alloy, the obtained corrosion rates were very high for both non-coated and PEO-coated specimens, which would compromise their application as resorbable implants. The amount of F− ions released from PEO-coated Mg0.6Ca during 24 h of immersion in 0.9% NaCl was also measured due to the importance of F− in antibacterial processes, yielding 33.7 μg/cm2, which is well within the daily recommended limit of F− consumption.
Effects of Anion Impurities on the Solubility and Nucleation of Borax Decahydrate Crystals in Carbonate-Type Brine
Authors: Chen Jing , Peng Jiaoyu , Wang Xingpeng , Dong Yaping , Li Wu
Published: June 2019

Measurements of the solubility and metastable zone width (MSZW) of borax decahydrate (disodium tetraborate decahydrate) within chloride, sulfate and carbonate solutions were carried out. The MSZW was measured by the conventional polythermal method with turbidity technology. The results showed that the addition of impurities decreased solubility. The main factor reducing solubility is the common ion effect, but the salt effect is also significant in the complex system. The addition of impurities broadened the MSZW. The MSZW was wider at first, then decreased with the addition of NaCl, yet the MSZW widened with the addition of Na2SO4 within the concentration range studied. This can be explained by adsorption and diffusion. The data of solubility and MSZW were analyzed by applying the Van’t Hoff equation and the classical 3D nucleation theory approach, respectively. By calculating the corresponding parameters, the experimental phenomena are further explained from the perspective of thermodynamics and dynamics.
Utilizing HRV-Derived Respiration Measures for Driver Drowsiness Detection
Authors: Kim Jinwoo , Shin Miyoung
Published: June 2019

This study aims to utilize heart rate variability (HRV) signals obtained with a wearable sensor for driver drowsiness detection. To this end, we investigated respiration characteristics derived from HRV signals based on the known fact that respiratory activity can be estimated from the high frequency (HF) band of HRV signals. For drowsiness detection, many earlier works commonly used dominant respiration (DR) characteristics. However, in some situations where emphasized power in a power spectrum of HRV occurs at multi sub-frequency, the DR measures may possibly fail to capture overall respiration characteristics. To handle this problem, we propose two spectral indices, the weighted mean (WM) and the weighted standard deviation (WSD) of the HF band in the power spectrum. These indices are used to properly capture the overall shape of the respiratory activity shown through the HF band of the HRV power spectrum as an alternative to the DR measures. For experiments, we collected HRV data with an electrocardiogram device worn on the body under a virtual driving environment. The proposed indices somewhat clearly showed the tendency that respiratory frequency decreases and respiration regularity increases in drowsy states of all subjects, while existing DR measures hardly showed this. In addition, when the proposed indices are used alone or together with conventional HRV-related measures as input features for classification models, they showed the best performance in distinguishing drowsiness from wakefulness.
Predicting Image Aesthetics for Intelligent Tourism Information Systems
Authors: Kleinlein Ricardo , García-Faura Álvaro , Luna Jiménez Cristina , Montero Juan Manuel , Díaz-de-María Fernando , Fernández-Martínez Fernando
Published: June 2019

Image perception can vary considerably between subjects, yet some sights are regarded as aesthetically pleasant more often than others due to their specific visual content, this being particularly true in tourism-related applications. We introduce the ESITUR project, oriented towards the development of ’smart tourism’ solutions aimed at improving the touristic experience. The idea is to convert conventional tourist showcases into fully interactive information points accessible from any smartphone, enriched with automatically-extracted contents from the analysis of public photos uploaded to social networks by other visitors. Our baseline, knowledge-driven system reaches a classification accuracy of 64.84 ± 4.22% telling suitable images from unsuitable ones for a tourism guide application. As an alternative we adopt a data-driven Mixture of Experts (MEX) approach, in which multiple learners specialize in partitions of the problem space. In our case, a location tag is attached to every picture providing a criterion to segment the data by, and the MEX model accordingly defined achieves an accuracy of 85.08 ± 2.23%. We conclude ours is a successful approach in environments in which some kind of data segmentation can be applied, such as touristic photographs.
Performance Analysis of Low-Level and High-Level Intuitive Features for Melanoma Detection
Authors: Ashfaq Muniba , Minallah Nasru , Ullah Zahid , Ahmad Arbab Masood , Saeed Aamir , Hafeez Abdul
Published: June 2019

This paper presents an intelligent approach for the detection of Melanoma—a deadly skin cancer. The first step in this direction includes the extraction of the textural features of the skin lesion along with the color features. The extracted features are used to train the Multilayer Feed-Forward Artificial Neural Networks. We evaluate the trained networks for the classification of test samples. This work entails three sets of experiments including 50 % , 70 % and 90 % of the data used for training, while the remaining 50 % , 30 % , and 10 % constitute the test sets. Haralick’s statistical parameters are computed for the extraction of textural features from the lesion. Such parameters are based on the Gray Level Co-occurrence Matrices (GLCM) with an offset of 2 , 4 , 8 , 12 , 16 , 20 , 24 and 28, each with an angle of 0 , 45 , 90 and 135 degrees, respectively. In order to distill color features, we have calculated the mean, median and standard deviation of the three color planes of the region of interest. These features are fed to an Artificial Neural Network (ANN) for the detection of skin cancer. The combination of Haralick’s parameters and color features have proven better than considering the features alone. Experimentation based on another set of features such as Asymmetry, Border irregularity, Color and Diameter (ABCD) features usually observed by dermatologists has also been demonstrated. The ‘D’ feature is however modified and named Oblongness. This feature captures the ratio between the length and the width. Furthermore, the use of modified standard deviation coupled with ABCD features improves the detection of Melanoma by an accuracy of 93.7 %
Hourly CO2 Emission Factors and Marginal Costs of Energy Carriers in Future Multi-Energy Systems
Authors: Böing Felix , Regett Anika
Published: June 2019

Hourly emission factors and marginal costs of energy carriers are determined to enable a simplified assessment of decarbonization measures in energy systems. Since the sectors and energy carriers are increasingly coupled in the context of the energy transition, the complexity of balancing emissions increases. Methods of calculating emission factors and marginal energy carrier costs in a multi-energy carrier model were presented and applied. The model used and the input data from a trend scenario for Germany up to the year 2050 were described for this purpose. A linear optimization model representing electricity, district heating, hydrogen, and methane was used. All relevant constraints and modeling assumptions were documented. In this context, an emissions accounting method has been proposed, which allows for determining time-resolved emission factors for different energy carriers in multi-energy systems (MES) while considering the linkages between energy carriers. The results showed that the emissions accounting method had a strong influence on the level and the hourly profile of the emission factors. The comparison of marginal costs and emission factors provided insights into decarbonization potentials. This holds true in particular for the electrification of district heating since a strong correlation between low marginal costs and times with renewable excess was observed. The market values of renewables were determined as an illustrative application of the resulting time series of costs. The time series of marginal costs as well as the time series of emission factors are made freely available for further use.