bluuebunny/crossref_metadata_2025 huggingface dataset:
Progressive Cascaded Convolutional Neural Networks for Single Tree Detection with Google Earth Imagery
Authors: Dong Tianyang , Shen Yuqi , Zhang Jian , Ye Yang , Fan Jing
Published: July 2019

High-resolution remote sensing images can not only help forestry administrative departments achieve high-precision forest resource surveys, wood yield estimations and forest mapping but also provide decision-making support for urban greening projects. Many scholars have studied ways to detect single trees from remote sensing images and proposed many detection methods. However, the existing single tree detection methods have many errors of commission and omission in complex scenes, close values on the digital data of the image for background and trees, unclear canopy contour and abnormal shape caused by illumination shadows. To solve these problems, this paper presents progressive cascaded convolutional neural networks for single tree detection with Google Earth imagery and adopts three progressive classification branches to train and detect tree samples with different classification difficulties. In this method, the feature extraction modules of three CNN networks are progressively cascaded, and the network layer in the branches determined whether to filter the samples and feed back to the feature extraction module to improve the precision of single tree detection. In addition, the mechanism of two-phase training is used to improve the efficiency of model training. To verify the validity and practicability of our method, three forest plots located in Hangzhou City, China, Phang Nga Province, Thailand and Florida, USA were selected as test areas, and the tree detection results of different methods, including the region-growing, template-matching, convolutional neural network and our progressive cascaded convolutional neural network, are presented. The results indicate that our method has the best detection performance. Our method not only has higher precision and recall but also has good robustness to forest scenes with different complexity levels. The F1 measure analysis in the three plots was 81.0%, which is improved by 14.5%, 18.9% and 5.0%, respectively, compared with other existing methods.
Detection of Phytoplankton Temporal Anomalies Based on Satellite Inherent Optical Properties: A Tool for Monitoring Phytoplankton Blooms
Authors: Aguilar-Maldonado Jesús Antonio , Santamaría-del-Ángel Eduardo , Gonzalez-Silvera Adriana , Sebastiá-Frasquet María Teresa
Published: July 2019

The baseline of a specific variable defines the average behavior of that variable and it must be built from long data series that represent its spatial and temporal variability. In coastal and marine waters, phytoplankton can produce blooms characterized by a wide range of total cells number or chlorophyll a concentration. Classifying a phytoplankton abundance increase as a bloom depends on the species, the study area and the season. The objective of this study was to define the baseline of satellite absorption coefficients in Todos Santos Bay (Baja California, Mexico) to determine the presence of phytoplankton blooms based on the satellite inherent optical properties index (satellite IOP index). Two field points were selected according to historical bloom reports. To build the baseline, the data of phytoplankton absorption coefficients ( a p h y , G I O P ) and detritus plus colored dissolved organic matter (CDOM) ( a d C D O M , G I O P ) from the generalized inherent optical property (GIOP) satellite model of the NASA moderate resolution imaging spectroradiometer (MODIS-Aqua) sensor was studied for the period 2003 to 2016. Field data taken during a phytoplankton bloom event on June 2017 was used to validate the use of satellite products. The association between field and satellite data had a significant positive correlation. The satellite baseline detected a trend change from high values to low values of the satellite IOP index since 2010. Improved wastewater treatment to waters discharged into the Bay, and increased aquaculture of filter-feeding mollusks could have been the cause. The methodology proposed in this study can be a supplementary tool for permanent in situ monitoring programs. This methodology offers several advantages: A complete spatial coverage of the specific coastal area under study, appropriate temporal resolution and a tool for building an objective baseline to detect deviation from average conditions during phytoplankton bloom events.
Pulsar Emissions, Signal Modeling and Passive ISAR Imaging
Authors: Lazarov Andon
Published: July 2019

The present work addresses pulsar Crab Nebula emissions from point of view of their modeling and applications for asteroid detection and imaging by applying inverse synthetic aperture radar (ISAR) principles. A huge value of the plasma’s effective temperature is a reason for pulsar emission coherency, a property of great practical meaning for a space objects navigation, localization and imaging. Based on measurement data obtained by Goldstone-Apple Valley and Arecibo radio telescopes, an original time frequency grid mathematical model of pulsar emissions is created. Passive ISAR scenario, a space object’s geometry and a model of pulsar signals reflected from the space object’s surface are also described and graphically illustrated. A new range compression approach for ISAR imaging is suggested and demonstrated. In order to reduce the level of additive white Gaussian noise in signals and enlarge the signal to noise ratio in the final image, coherent summation of multiple complex images is applied. To prove the correctness of the geometry, signal models and theoretical analysis, results of numerical experiments are provided.
Measurement Method Based on Multispectral Three-Dimensional Imaging for the Chlorophyll Contents of Greenhouse Tomato Plants
Authors: Sun Guoxiang , Wang Xiaochan , Sun Ye , Ding Yongqian , Lu Wei
Published: July 2019

Nondestructive plant growth measurement is essential for researching plant growth and health. A nondestructive measurement system to retrieve plant information includes the measurement of morphological and physiological information, but most systems use two independent measurement systems for the two types of characteristics. In this study, a highly integrated, multispectral, three-dimensional (3D) nondestructive measurement system for greenhouse tomato plants was designed. The system used a Kinect sensor, an SOC710 hyperspectral imager, an electric rotary table, and other components. A heterogeneous sensing image registration technique based on the Fourier transform was proposed, which was used to register the SOC710 multispectral reflectance in the Kinect depth image coordinate system. Furthermore, a 3D multiview RGB-D image-reconstruction method based on the pose estimation and self-calibration of the Kinect sensor was developed to reconstruct a multispectral 3D point cloud model of the tomato plant. An experiment was conducted to measure plant canopy chlorophyll and the relative chlorophyll content was measured by the soil and plant analyzer development (SPAD) measurement model based on a 3D multispectral point cloud model and a single-view point cloud model and its performance was compared and analyzed. The results revealed that the measurement model established by using the characteristic variables from the multiview point cloud model was superior to the one established using the variables from the single-view point cloud model. Therefore, the multispectral 3D reconstruction approach is able to reconstruct the plant multispectral 3D point cloud model, which optimizes the traditional two-dimensional image-based SPAD measurement method and can obtain a precise and efficient high-throughput measurement of plant chlorophyll.
Consumer Preference between Fire Risk and Chemical Risk for Home Appliances Containing Flame Retardants in Plastic Parts
Authors: Tsunemi Kiyotaka , Kawamoto Akemi , Ono Kyoko
Published: July 2019

A questionnaire survey was conducted to explore consumer preference between fire risk and chemical risk, with a focus on electric and electronic home appliances whose plastic parts either contain or do not contain flame retardants (FRs). The analytic hierarchy process was used to evaluate the change in consumer preference before and after watching a video describing the effects of FRs. The t-test was used to compare the priority of product alternatives for subjects grouped according to risk acceptance and risk-avoidance orientation. From the results, the degree of each consumer preference for “Safety” was the highest before watching the video, and the degree of preference for “Safety” increased and those for “Health” and “Environment” decreased after watching the video. The degrees of consumer preference for “The product with FRs” and “The product without FRs” were almost the same before watching the video, but the preference for “The product with FRs” increased after watching the video. This tendency to change the priority of products from before to after watching the video was generally the same in each group.
Enhancing Food Security by Institutionalizing Collaborative Food Alliances in Urban Areas
Authors: Sukhwani Vibhas , Nurzaman Arie , Kusumawardhani Nadia Paramitha , AlHinai Anwaar Mohammed , Hanyu Liu , Shaw Rajib
Published: July 2019

Narrowing the food supply-demand gaps between urban and rural areas within a regional space has today become a serious challenge due to the growing urban population. Resultantly, urban markets are increasingly being dominated by industrial food chains, despite their negative socio-environmental impacts. To address this issue, this paper discusses the need and significance of ‘Collaborative Food Alliances’ (CFAs), which promote the direct supply of food products from rural farmers to urban residents through improved producer–consumer relationships. Based on the literature survey, this study underlines that the current CFAs are confronted with several challenges including the small scale of functioning and limited financing. While the current research on CFAs is focused on theoretical place-based studies, this paper argues that institutionalization of CFAs at a large scale is highly important for enhancing food security in urban areas. It mainly deliberates on two key aspects: (a) The process of institutionalizing CFAs and (b) A feasible financing mechanism to support CFAs. This paper emphasizes that urban local governments have a central role to play in institutionalizing CFAs, either as a lead agency or as a facilitator. It concludes with specific suggestions on three key determinants of multi-stakeholder engagement, financial constraints and policy coordination at a regional level.
The Concept of Comprehensive Tracking Software to Support Sustainable Tourism in Protected Areas
Authors: Zejda David , Zelenka Josef
Published: July 2019

Visitor management in protected areas requires knowledge of visitors—their numbers, time-space curves, motivation, behavior, and satisfaction as an important input. The systematic analysis, comparison, and synthesis of visitor monitoring methods, with the focus on methods for individual tracking, is conceptualized in the form of a mind map. The map serves as a basis for managed dialogues with experts from several protected areas in the Czech Republic. The theory and experts’ practical insight are processed by the means of systems analysis with the aim to formulate (1) a guideline for the integration of heterogeneous data about visitors and (2) the concept of an advanced intelligent software tour guide with an individual tracking function. The proposed concept aims to achieve comprehensive monitoring of visitors’ time-space behavior in the context of their socio-demographics, goals, preferences, feelings, and the resulting impressions. In addition, the visitor flows may be interactively influenced in a personalized way by the application, leading to better individual impressions and satisfaction, with full respect for the carrying capacity of the territory. Related challenges, such as the stimulation of visitors to use the application, are discussed. The ongoing experimental implementation of the concept as a part of a comprehensive destination application is mentioned at the end.
Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea
Authors: Ki Donghwan , Lee Sugie
Published: July 2019

The popularity of the sharing economy, including organizations such as Airbnb and Uber, has increased rapidly over the last few years. Regarding Airbnb, several studies have demonstrated potential problems related to it, such as rising housing costs and worsening residential environments. Despite its popularity and possibility of problems, however, the locational characteristics of Airbnb have not been thoroughly examined in the urban planning and public policy fields. Therefore, this study analyzed the locational characteristics of Airbnb in Seoul and identified potential problems in urban planning. First, we analyzed an operation status of Airbnb in terms of the commercial host. After that, we identified spatial distributions of Airbnb and examined influential factors that affected the locational characteristics of Airbnb using a negative binomial regression model. The results of this study are as follows. First, a considerable number of units were operated by commercial hosts, in contrast to the original concept of Airbnb as being part of the sharing economy. This finding indicates that there would be a potential conflict between Airbnb businesses and housing policy in urban areas. Second, Airbnb units were mainly located in residential areas, especially around multiplexes and townhouses. This finding indicates that Airbnb may decrease the availability of housing in the housing market. Third, Airbnb units were located preferentially in areas adjacent to universities or subway stations, as well as in areas with high ratios of single-person households. Considering these characteristics of Airbnb and the directions of government housing policy, urban scholars and policymakers should pay close attention to the potential conflict between the spatial distributions of Airbnb units and housing policies.
Leading Educational Change in the 21st Century: Creating Living Schools through Shared Vision and Transformative Governance
Authors: Howard Patrick , O’Brien Catherine , Kay Brent , O’Rourke Kristin
Published: July 2019

This article provides a critical overview of national and international efforts to shift education to what has been commonly called 21st century learning. Governments, non-profits, and corporate consortiums are in large part responsible for education reform designed to re-conceptualize K12 education for the 21st century. The article introduces an integrative transformative educational concept called the Living School that connects K12 educational reform with Education for Sustainability, sustainable community development, and individual well-being. Brief portraits describe schools that reflect Living School attributes. Ambitious initiatives to transform education for the 21st century require enlightened leadership and governance structures for scalable, system-wide reform. This paper offers an alternative vision for educational leadership and governance to support education reform based on a holistic approach to sustainable community economic development. An interdisciplinary model of professional learning to prepare education leaders for an alternative vision of education leadership is proposed.
Which Diet Has the Least Environmental Impact on Our Planet? A Systematic Review of Vegan, Vegetarian and Omnivorous Diets
Authors: Chai Bingli Clark , van der Voort Johannes Reidar , Grofelnik Kristina , Eliasdottir Helga Gudny , Klöss Ines , Perez-Cueto Federico J. A.
Published: July 2019

The food that we consume has a large impact on our environment. The impact varies significantly between different diets. The aim of this systematic review is to address the question: Which diet has the least environmental impact on our planet? A comparison of a vegan, vegetarian and omnivorous diets. This systematic review is based on 16 studies and 18 reviews. The included studies were selected by focusing directly on environmental impacts of human diets. Four electronic bibliographic databases, PubMed, Medline, Scopus and Web of Science were used to conduct a systematic literature search based on fixed inclusion and exclusion criteria. The durations of the studies ranged from 7 days to 27 years. Most were carried out in the US or Europe. Results from our review suggest that the vegan diet is the optimal diet for the environment because, out of all the compared diets, its production results in the lowest level of GHG emissions. Additionally, the reviewed studies indicate the possibility of achieving the same environmental impact as that of the vegan diet, without excluding the meat and dairy food groups, but rather, by reducing them substantially.
Molecular and Phenotypic Diversity of Traditional European Plum (Prunus domestica L.) Germplasm of Southern Italy
Authors: Manco Rosanna , Basile Boris , Capuozzo Claudio , Scognamiglio Pasquale , Forlani Marcello , Rao Rosa , Corrado Giandomenico
Published: July 2019

The European plum (Prunus domestica L.) is a worldwide distributed tree species. Italy has an ample number of traditional varieties, but many are neglected and at risk of extinction. This germplasm is still cultivated in rural areas in spite of the EU-28 crisis of the stone fruit sector. Traditional European plum varieties remain poorly characterized, strongly limiting their promotion in local markets, use for farm diversification, and exploitation for local gastronomic products. In this study, we carried out an investigation of the morphological and genetic diversity present in an ex-situ collection of 29 traditional varieties of P. domestica of the Campania region (Southern Italy). The combination of five continuous and five categorical fruit traits allowed us to phenotypically distinguish all the varieties. Similarly, the Simple Sequence Repeats (SSRs) employed (five genomic and five deriving from Expressed Sequence Tags) identified a unique molecular profile for each variety. Moreover, the data indicated that the phenotypic and molecular investigations provided different clustering, suggesting that the two analyses sampled different sources of diversity. The number and the distribution of the scored phenotypes as well as the indices of genetic diversity imply the presence of a wide-ranging variation, which may sustain the development of high-value, niche market products. Our work provided evidence that the implementation of measures for a combination of ex-situ and on-farm conservation of traditional European plum varieties should be preferred to avoid the loss of an ample diversity.
Is Earnings Quality Associated with Corporate Social Responsibility? Evidence from the Korean Market
Authors: Yoon Bohyun , Kim Byul , Lee Jeong Hwan
Published: July 2019

Socially responsible firms are believed to behave in a responsible manner to restrict earnings management and thus deliver more reliable and transparent financial information to investors. We test this hypothesis by predicting a higher quality of financial reporting for socially responsible firms in the Korean market. The entire sample analysis provides evidence for the hypothesis in the use of discretionary accruals as proxy variables for the quality of financial reporting. However, our sub-sample analysis indicates that such weak support is driven by a group of environmentally sensitive firms and the affiliates of large family-owned conglomerates, or chaebol. Socially responsible firms are less likely to be involved with earnings management in the group of non-environmentally sensitive industries and non-chaebol affiliates. These firms provide a better quality of financial reporting in terms of both the use of discretionary accruals and real activity manipulations. In line with recent studies, our findings suggest that ethical concerns in producing high-quality financial reports rely significantly on firm characteristics.
Impact Investing Strategy: Managing Conflicts between Impact Investor and Investee Social Enterprise
Authors: Agrawal Anirudh , Hockerts Kai
Published: July 2019

Impact investing pursues the dual goals of creating socio-economic value for the marginalized, and ensuring net positive financial returns. Impact investing firms achieve their goals through their investments in projects and enterprises which create both social and commercial values. The primary aim of this article is to contribute to our understanding of the process of impact investing, particularly with respect to issues related to aligning impact investing and investee social enterprise goals. The research method employs case-based research methodology. The data consist of six cases of impact investing and their investee social enterprises. In addition, the data involve interviews with experts from the field of impact investing. The findings are that: (1) Social mission plays an important moderating role in the inter-organizational relationship between the impact investor and the investee social enterprise, (2) and an emphasis on due diligence, sector specialization, and communication increases the likelihood of investment while (3) social impact measurement and reporting and frequent engagement increase the likelihood of post-investment alignment. The key contribution of this article is that impact investing (unlike venture capital) is influenced by the ability of its investee to create social value, which plays an important role in the inter-organizational relationship between investor and investee. Furthermore, similar to industry specialization in the for-profit investing, social sector specialization is equally relevant for alignment and returns.
Sustainable Development Performance for Small and Medium Enterprises Using a Fuzzy Synthetic Method-DEMATEL
Authors: Wu Kuo-Jui , Chen Qing , Qi Yun , Jiang Xiaoyue , Gao Shuo , Tseng Ming-Lang
Published: July 2019

Small and medium enterprises (SMEs) are forced to adhere to sustainable development (SD) regulations and standards. However, SMEs encounter difficulty in assessing their performance due to the lack of an efficient and effective approach to deal with the uncertainties in hierarchical relationships and interrelationships. Moreover, interrelations exist among the proposed attributes that increase the difficulty of the assessment. To overcome these issues, exploratory factor analysis is used to screen out the less important attributes and build a hierarchal structure. The fuzzy synthetic method addresses the hierarchical structure and decision-making, and a trial evaluation laboratory assesses the interrelationships among the attributes by providing a visual interrelationship map. The results indicate that strategic and financial management are the major problems for SMEs. SD relies on enhancing sustainable supply chain performance, sustainable human resources and environmental management. This study contributes by not only filling the information gap for SD for SMEs but also providing a guideline for improvement. The theoretical and managerial implications are discussed.
Design and Experiment of Symmetrical Shape Deployable Arc Profiling Mechanism Based on Composite Multi-Cam Structure
Authors: Xu Zeyu , Yang Zhou , Duan Jieli , Jin Mohui , Mo Jiasi , Zhao Lei , Guo Jie , Yao Huanli
Published: July 2019

At present, there are few reports on the profiling mechanism that can achieve surface envelope profiling along the surface of a shaft whose radius is constantly changing. Existing profiling mechanisms cannot achieve this function. To this end, a novel deployable arc profiling mechanism is presented in this paper. The mechanism can realize centering deployment along the shaft with a changing radius. The radius of the deployable arc can be adapted to the continuous change of shaft radius, and its surface can always maintain the arc shape for surface envelope profiling. The mechanism is mainly composed of compound cams. Each cam contains multiple grooves, and each groove connects to an arc support linkage. The arc support linkage is controlled by the compound motion of cams in different layers. The pitch curve of each groove is designed by applying the method of relative motion and inverse solution and obtained various parameter equations of the mechanism. The feasibility of this mechanism is verified by analysis, experiment, and application test. The results show that the proposed deployable arc profiling mechanism can achieve the design purpose and the profiling accuracy is kept above 96.425%.
Parity Doubling and the Dense-Matter Phase Diagram under Constraints from Multi-Messenger Astronomy
Authors: Marczenko Michał , Blaschke David , Redlich Krzysztof , Sasaki Chihiro
Published: July 2019

We extend the recently developed hybrid quark–meson–nucleon model by augmenting a six-point scalar interaction and investigate the consequences for neutron-star sequences in the mass–radius diagram. One of the characteristic features of the model is that the chiral symmetry is restored within the hadronic phase by lifting the mass splitting between chiral partner states, before quark deconfinement takes place. At low temperature and finite baryon density, the model predicts a first- or second-order chiral phase transition, or a crossover, depending on the expectation value of a scalar field, and a first-order deconfinement phase transition. We discuss two sets of free parameters, which result in compact-star mass–radius relations that are at tension with the combined constraints for maximum-mass ( 2 M ⊙ ) and the compactness (GW170817). We find that the most preferable mass–radius relations result in isospin-symmetric phase diagram with rather low temperature for the critical point of the chiral phase transition.
Understanding Cumulative Hazards in a Rustbelt City: Integrating GIS, Archaeology, and Spatial History
Authors: Trepal Dan , Lafreniere Don
Published: July 2019

We combine the Historical Spatial Data Infrastructure (HSDI) concept developed within spatial history with elements of archaeological predictive modeling to demonstrate a novel GIS-based landscape model for identifying the persistence of historically-generated industrial hazards in postindustrial cities. This historical big data approach draws on over a century of both historical and modern spatial big data to project the presence of specific persistent historical hazards across a city. This research improves on previous attempts to understand the origins and persistence of historical pollution hazards, and our final model augments traditional archaeological approaches to site prospection and analysis. This study also demonstrates how models based on the historical record, such as the HSDI, complement existing approaches to identifying postindustrial sites that require remediation. Our approach links the work of archaeologists more closely to other researchers and to municipal decision makers, permitting closer cooperation between those involved in archaeology, heritage, urban redevelopment, and environmental sustainability activities in postindustrial cities.
Effects of the Q80K Polymorphism on the Physicochemical Properties of Hepatitis C Virus Subtype 1a NS3 Protease
Authors: Peres-da-Silva Allan , Antunes Deborah , Quintanilha Torres André Luiz , Caffarena Ernesto Raul , Lampe Elisabeth
Published: July 2019

Hepatitis C virus genotype 1a (HCV-1a) comprises clades I and II. The Q80K polymorphism is found predominantly in clade I but rarely in clade II. Here, we investigated whether natural polymorphisms in HCV-1a clade II entailed structural protein changes when occurrence of the Q80K variant was simulated. Based on HCV-1a clade I and II protein sequences, the structure of the HCV-1a Q80K mutant NS3-4A was obtained by comparative modeling. Its physicochemical properties were studied by molecular dynamics simulations and network analysis. Results demonstrate that, in the presence of the K80 variant, clade II protease polymorphisms A91 and S/G174 led to variations in hydrogen bond occupancies. Structural analyses revealed differences in (i) flexibility of the H57 catalytic residue on the NS3 protease and (ii) correlations between amino acids on the NS3 protease and the NS4A cofactor. The latter indicated possible destabilization of interactions, resulting in increased separation of these proteins. The present findings describe how the relationships between different HCV-1a NS3 protease amino acid residues could affect the appearance of viral variants and the existence of distinct genetic barriers to HCV-1a isolates.
BST2/Tetherin Overexpression Modulates Morbillivirus Glycoprotein Production to Inhibit Cell–Cell Fusion
Authors: Kelly James T. , Human Stacey , Alderman Joseph , Jobe Fatoumatta , Logan Leanne , Rix Thomas , Gonçalves-Carneiro Daniel , Leung Corwin , Thakur Nazia , Birch Jamie , Bailey Dalan
Published: July 2019

The measles virus (MeV), a member of the genus Morbillivirus, is an established pathogen of humans. A key feature of morbilliviruses is their ability to spread by virus–cell and cell–cell fusion. The latter process, which leads to syncytia formation in vitro and in vivo, is driven by the viral fusion (F) and haemagglutinin (H) glycoproteins. In this study, we demonstrate that MeV glycoproteins are sensitive to inhibition by bone marrow stromal antigen 2 (BST2/Tetherin/CD317) proteins. BST2 overexpression causes a large reduction in MeV syncytia expansion. Using quantitative cell–cell fusion assays, immunolabeling, and biochemistry we further demonstrate that ectopically expressed BST2 directly inhibits MeV cell–cell fusion. This restriction is mediated by the targeting of the MeV H glycoprotein, but not other MeV proteins. Using truncation mutants, we further establish that the C-terminal glycosyl-phosphatidylinositol (GPI) anchor of BST2 is required for the restriction of MeV replication in vitro and cell–cell fusion. By extending our study to the ruminant morbillivirus peste des petits ruminants virus (PPRV) and its natural host, sheep, we also confirm this is a broad and cross-species specific phenotype.
Platelet Count in Patients with Mild Disease at Admission is Associated with Progression to Severe Hantavirus Cardiopulmonary Syndrome
Authors: López René , Vial Cecilia , Graf Jerónimo , Calvo Mario , Ferrés Marcela , Mertz Gregory , Cuiza Analía , Agüero Begonia , Aguilera Dante , Araya Diego , Pailamilla Ignacia , Paratori Flavia , Torres-Torres Víctor , Vial Pablo ,   Hantavirus Study Group in Chile
Published: July 2019

Background: Hantavirus cardiopulmonary syndrome (HCPS) has a mortality up to 35–40% and its treatment is mainly supportive. A variable to predict progression from mild to severe disease is unavailable. This study was performed in patients with documented infection by Andes orthohantavirus, and the aim was to find a simple variable to predict progression to moderate/severe HCPS in patients with mild disease at admission. Methods: We performed a retrospective analysis of 175 patients between 2001 and 2018. Patients were categorized into mild, moderate, and severe disease according to organ failure and advanced support need at hospital admission (e.g., mechanical ventilation, vasopressors). Progression to moderate/severe disease was defined accordingly. Clinical and laboratory variables associated with progression were explored. Results: Forty patients with mild disease were identified; 14 of them progressed to moderate/severe disease. Only platelet count was different between those who progressed versus those that did not (37 (34–58) vs. 83 (64–177) K/mm3, p < 0.001). A ROC curve analysis showed an AUC = 0.889 (0.78–1.0) p < 0.001, with a platelet count greater than 115K /mm3 ruling out progression to moderate/severe disease. Conclusions: In patients with mild disease at presentation, platelet count could help to define priority of evacuation to tertiary care centers.
Assessment of System Responses in Intensively Irrigated Stream–Aquifer Systems Using SWAT-MODFLOW
Authors: Wei Xiaolu , Bailey Ryan T.
Published: July 2019

Water management strategies need to balance water security and food production, particularly in semi-arid regions wherein irrigation is required to supplement rainfall. Irrigated stream–aquifer systems present a unique challenge in this effort, due to complex groundwater–surface water interactions and the high level of human intervention in managing irrigation practices. This paper has two objectives: first, to detail a method for constructing and applying a coupled SWAT-MODFLOW to irrigated stream–aquifer systems; and second, to use the model to quantify the effects of decreasing irrigation on hydrological responses and crop yield. The method is applied to a 734 km2 study region in the Lower Arkansas River Valley, an alluvial valley in Colorado, USA, which has been intensively irrigated for over 100 years and is threatened by shallow water tables. Therefore, a reduction in applied irrigation amounts has the double benefit of conserving water and decreasing waterlogging, given that crop yield can be maintained for food production. The results indicate that an approximate 10% decrease in total applied irrigation water results in decreases of 6% in surface runoff, 8% in evapotranspiration, and 4% in recharge water. It also results in an increase of 4% in groundwater return flow to the Arkansas River, and an actual increase in groundwater levels due to the decrease in groundwater pumping, pointing to the need for targeted irrigation reduction strategies to decrease waterlogging occurrence. The irrigation reduction yields an average 9% decrease in corn and alfalfa yield. This modeling approach is in general transferable to other similar irrigated river valleys.
On Complex Network Construction of Rain Gauge Stations Considering Nonlinearity of Observed Daily Rainfall Data
Authors: Kim Kyunghun , Joo Hongjun , Han Daegun , Kim Soojun , Lee Taewoo , Kim Hung Soo
Published: July 2019

Rainfall data is frequently used as input and analysis data in the field of hydrology. To obtain adequate rainfall data, there should be a rain gauge network that can cover the relevant region. Therefore, it is necessary to analyze and evaluate the adequacy of rain gauge networks. Currently, a complex network analysis is frequently used in network analysis and in the hydrology field, Pearson correlation is used as strength of link in constructing networks. However, Pearson correlation is used for analyzing the linear relationship of data. Therefore, it is now suitable for nonlinear hydrological data (such as rainfall and runoff). Thus, a possible solution to this problem is to apply mutual information that can consider nonlinearity of data. The present study used a method of statistical analysis known as the Brock–Dechert–Scheinkman (BDS) statistics to test the nonlinearity of rainfall data from 55 Automated Synoptic Observing System (ASOS) rain gauge stations in South Korea. Analysis results indicated that all rain gauge stations showed nonlinearity in the data. Complex networks of these rain gauge stations were constructed by applying Pearson correlation and mutual information. Then, they were compared by computing their centrality values. Comparing the centrality rankings according to different thresholds for correlation showed that the network based on mutual information yielded consistent results in the rankings, whereas the network, which based on Pearson correlation exhibited much variability in the results. Thus, it was found that using mutual information is appropriate when constructing a complex network utilizing rainfall data with nonlinear characteristics.
HARGA SAHAM YANG DIPENGARUHI OLEH PROFITABILITAS DAN STRUKTUR AKTIVA DALAM SEKTOR TELEKOMUNIKASI
Authors: Novianti Windi , Hakim Reza Pazzila
Published: July 2019

Penelitian ini bertujuan untuk mengetahui pengaruh profitabilitas dan struktur aktiva terhadap harga saham secara simultan dan parsial. Metode yang digunakan dalam penelitian ini adalah deskriptrif dan verifikatif dengan pendekatan kuantitatif. Populasi dalam penelitian ini adalah laporan keuangan perusahaan sektor telekomunikasi yang terdaftar di bursa efek indonesia  pada tahun 2011-2015 yaitu sebanyak 6 perusahaan. Sampel penelitian ini diambil dari 6 (enam) perusahaan dari perusahaan telekomunikasi yang dipublikasikan melalui situs website www.idx.co.id. Pengujian statistik yang digunakan adalah  perhitungan analisis regresi berganda, uji asumsi klasik, uji koefisien korelasi, uji koefisien determinasi, uji hipotesis, dan juga menggunakan program aplikasi SPSS 21.0 for windows sebagai alat bantu analisis.

Hasil penelitian ini menunjukkan: (1) secara parsial terdapat pengaruh positif signifikan profitabilitas terhadap harga saham (2) secara parsial terdapat pengaruh negatif signifikan struktur aktiva  terhadap harga saham. (3) secara simultan terdapat pengaruh profitabilitas dan struktur aset terhadap harga saham.

Kata kunci : Profitabilitas, Struktur aset, Harga saham
PENGARUH PERPUTARAN TOTAL ASET (TATO) DAN TINGKAT PENGEMBALIAN EKUITAS (ROE) TERHADAP HARGA SAHAM PADA PERUSAHAAN SEKTOR TEKSTIL DAN GARMEN YANG TERDAFTAR DI BURSA EFEK INDONESIA
Authors: Prima Ade , Ismawati Linna
Published: July 2019

This study aims to determine the development of Total Asset Turnover (TATO) and Equity Return Rate (ROE) on Stock Prices and analyze how much influence the Total Asset Turnover (TATO) and Equity Return Rate (ROE) on Stock Prices are partially and simultaneously in the Textile and Garment Sub-sector company for the period 2012-2016. The method used in this research is descriptive verification method with a quantitative approach. The sample used in this study is the financial statements per year 2012-2016, as many as 30 samples. The statistical test used is multiple linear regression analysis, classical assumption test, correlation analysis, determination coefficient, and hypothesis testing using SPSS Statistics 17.0. The results showed that partially the Total Asset Turnover (TATO) had a significant effect on the Stock Price, Equity Return Rate (ROE) had a significant effect on the Share Price and simultaneously Total Asset Turnover (TATO) and Equity Return Rate (ROE) had a significant effect on Stock Prices.

Keywords: Total Asset Turnover (TATO), Equity Return Rate (ROE), and Stock Price

Penelitian ini bertujuan untuk mengetahui perkembangan Perputaran Total Aset (TATO) dan Tingkat Pengembalian Ekuitas (ROE) terhadap Harga Saham serta menganalisis seberapa besar pengaruh Perputaran Total Aset (TATO) dan Tingkat Pengembalian Ekuitas (ROE) terhadap Harga Saham baik secara parsial maupun secara simultan pada perusahaan Sub Sektor Tekstil dan Garment periode 2012-2016. Metode yang digunakan dalam penelitian ini adalah metode deskriptif verifikatif dengan pendekatan kuantitatif. Sampel yang digunakan dalam penelitian ini yaitu laporan keuangan per tahun 2012-2016, sebanyak 30 sampel. Pengujian statistik yang digunakan adalah analisis regresi linier berganda, uji asumsi klasik, analisis korelasi, koefisien determinasi, serta pengujian hipotesis dengan menggunakan SPSS Statistics 17.0. Hasil penelitian menunjukkan bahwa secara parsial Perputaran Total Aset (TATO) berpengaruh signifikan terhadap Harga Saham, Tingkat Pengembalian Ekuitas (ROE) berpengaruh signifikan terhadap Harga Saham dan secara simultan Perputaran Total Aset (TATO) dan Tingkat Pengembalian Ekuitas (ROE) berpengaruh signifikan terhadap Harga Saham.

 Kata Kunci: Perputaran Total Aset, Tingkat Pengembalian Ekuitas, Harga Saham .
MANAJEMEN PERUBAHAN DAN TEKNOLOGI USAHATANI DI KABUPATEN LOMBOK TIMUR
Authors: KABUL LALU MUH.
Published: July 2019

This study discusses management of change, namely changes in farm management that were originally from the use of human labor into the use of technology (tractors) in tillage. The research method used is quantitative. On the one hand the results of the study indicate that there is a change in farm business performance in three components, namely productivity, efficiency and farming costs. On the other hand, technology (tractors) is endogenous, so that it directly affects agricultural production (rice). The development of farmers is not static, but dynamic. For this reason, the technology development strategy is developed from the ideas sof the farmers themselves and is subsequently used as the topic of applied research by various research institutions and the results of such research will then be developed by the private sector into applied technology for farmers.
PERLINDUNGAN HUKUM TERHADAP HAK CIPTA LAGU DAN MUSIK MENURUT UNDANG-UNDANG NOMOR 28 TAHUN 2004
Authors: UTAMA ARYA , TITAWATI TITIN , LOILEWEN ALINE FEBRYANI
Published: July 2019

The rapid development of information technology has a positive and negative impact on the enforcement of Copyright law. The positive impact is in line with technological advances, especially the internet, so it's easy to buy original songs or music through online shopping facilities. While the negative impact is the increasing number of links downloading songs or illegal music in cyberspace, as well as the easier the piracy of voice recording works in the real world.     The research method used in this study is a library research method that is normative juridical, namely research that refers to legal norms that exist in legislation, literature, expert opinions, papers, etc. In this case the copyright registration of the song and music is not an evidence if there is a copyright dispute over the song and music on the internet media, if there is prior publication carried out by one of the parties to the dispute then someone who can prove the authenticity of his creation will be the copyright holder of the disputed song or music. In Article 35 paragraph (4) the Copyright Act explains that the provisions on registration of work are not an obligation to obtain a Copyright, because Copyright protection arises automatically, (Automatic Protection) since the creation is manifested in a tangible form, without having to go through registration procedure
HAK ATAS TANAH ADAT DAN PERMASALAHANNYA
Authors: RESMINI WAYAN
Published: July 2019

Land for human life contains a multidimensional meaning, both in terms of social, economic, political and sacred aspects. Because it has a multidimensional meaning, unquestionably every person who owns land will defend his land in any way if his rights are violated.     Land disputes are not a new thing happening in the community. But the dimension of disputes is increasingly widespread in the present, including customary land in its development also has a new value, besides as a means of production, also as a means to speculate (economy) that land has become a commodity where economic transactions take place with expectations of margin (financial) trade in exchanged commodities.     Issues of customary land with a formal juridical approach will not achieve effective results. Law not merely customary is expected to overcome land problems that are so complex and too related to the application of existing laws and regulations. This is needed support with various efforts to ensure the fulfillment of the economic rights of the people, so that at least similar demands can be minimized in the future. In addition, a synergy of positive law in the land sector is needed with customary law in the community, namely (1) an objective understanding of State land, communal land and land rights is needed in the context of customary law and positive law. (2) The approach taken is a persuasive-educational approach and not imposing unilateral will. (3) the need for a cultural religious approach, which can be implemented through three (3) leadership elements, namely traditional leaders, religious leaders, and formal leaders who truly understand traditional law and positive law (UUPA and implementing regulations)
STUDI PENGEMBANGAN MODEL HIDROGRAF SATUAN SISTETIS SNYDER UNTUK SUNGAI –SUNGAI DI SULAWESI SELATAN
Authors: YAMIN MUHAMAD
Published: July 2019

This study aims to analyze the parameters that influence the Snyder synthetic unit hydrograph method. The study was conducted on 11 watersheds in South Sulawesi Province, 8 watersheds for modeling and 3 other watersheds for reliability testing (model verification).     With rainfall data, the discharge data and watershed characteristics obtained from each watershed were analyzed for parameters that affected the hydrograph breakdown of the Snyder HSS method. Then compared to the hydrograph of the observation unit which was analyzed by the Collins method.     After calibration was done with the NASH criteria obtained Peak Time (Tp) = 97.996%; Peak Discharge (Qp) = 98.331% and Basic Time (Tb) = 99.700%. The curved delineation of the hydrograph uses the auxiliary point W, which gives the result of volume deviation, namely: 7.980%, 9.227%; 6.855%; 4.966%; 10.972% and 9.843% are relatively small when compared to the model using Alexejeyev Arch with deviations: 22.362%; 29.991%; 26,319%; 19.602%; 29,786% and 17,633%.
EFEKTIVITAS PENGGUNAAN MEDIA POWER POINT DALAM UPAYA MENINGKATKAN PRESTASI BELAJAR MATEMATIKA SISWA KELAS III-A SD NEGERI 11 CAKRANEGARA
Authors: MURTINI NI KOMANG
Published: July 2019

This research is a classroom action research consisting of two cycles where each cycle consists of four stages, namely the stages of planning, implementation, observation, and reflection. Each cycle consists of 3 meetings.     This study aims to determine whether using power point media in PBM can improve Mathematics learning achievement in Class III-A Students at SD Negeri 11 Cakranegara Semester I Academic Year 2017/2018. The place of research in SD Negeri 11 Cakranegara, for 6 (six) months from July to December 2017 with research subjects of class III-A students totaling 27 people.     Data collection techniques used by observation, evaluation, and documentation. While the data analysis technique is qualitative descriptive. In the study, the final success indicator for student learning achievement was set at 85% of students reaching 70. The indicator was reached in the second cycle, so the action research was carried out in 2 cycles where each cycle consisted of 3 (three) meetings.     The results of the study showed that after the use of power point media in PBM, the student learning achievement increased by 8.7% with an average value in the first cycle of 68.15 and in the second cycle it increased to 76.85. While for learning completeness there was an increase of 29.63% from the first cycle of 62.96% and in the second cycle it increased to 92.59%. Thus, the use of Power point media in PBM can effectively improve student achievement, especially students of class III-A on Mathematics subjects at SD Negeri 11 Cakranegara.
OPTIMALISASI PENGGUNAAN MEDIA GAMBAR DALAM PENINGKATAN PENCAPAIAN KRITERIA KETUNTASAN MINIMAL (KKM) BAHASA INDONESIA SISWA KELAS I SDN 20 CAKRANEGARA
Authors: MUSIYATI HJ.
Published: July 2019

This research is a Classroom Action Research which consists of two cycles where each cycle consists of four stages, namely the stages of planning, implementation, observation, and reflection. Please note that each cycle consists of 3 meetings.     The background of this research is the low achievement of KKM in each of the Basic Competencies (K.D), especially in Indonesian language subjects.     This study aims to improve the learning outcomes of Indonesian language class I students by optimizing the use of image media. The research subjects were first grade students of SD Negeri 20 Cakranegara first semester 2017/2018 Academic Year with a total of 47 students. Data is obtained through observation during the learning process takes place, giving group assignments and the results of discussions and tests of student learning outcomes given at the end of each cycle. Data analysis uses descriptive qualitative and quantitative in the form of averages and the percentage of improvement in learning outcomes. The results of the analysis show an increase in the achievement of student KKM scores each cycle. From the results of student learning tests in the first cycle, data obtained that the achievement of student learning completeness reached 66.67%, and in the second cycle increased to 86.96%. The results of the study showed that optimizing the use of image media can improve the achievement of KKM Indonesian language subjects in class I Cakranegara State Elementary School 20