bluuebunny/crossref_metadata_2025 huggingface dataset:
Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations
Authors: Shi Wei , Wang Menghua , Zhang Yunlin
Published: June 2019

Using in situ remote sensing reflectance and inherent optical property (IOP) measurements, a near-infrared (NIR)-based IOP algorithm is developed and tuned for Lake Taihu, in order to derive the particle backscattering coefficient bbp(λ), total absorption coefficient at(λ), dissolved and detrital absorption coefficient adg(λ), and phytoplankton absorption coefficient aph(λ), with satellite observations from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP). The IOP algorithm for Lake Taihu has a reasonably good accuracy. In fact, the determination coefficients between the retrieved and in situ IOPs are 0.772, 0.638, and 0.487 for at(λ), adg(λ), and aph(λ), respectively. The IOP products in Lake Taihu that have been derived from VIIRS-SNPP observations show significant spatial and temporal variations. Southern Lake Taihu features enhanced bbp(λ) and adg(λ), while northern Lake Taihu shows higher aph(λ). The seasonal and interannual variability of adg(λ) and bbp(λ) in Lake Taihu is quantified and characterized with the highest bbp(λ) and adg(λ) in the winter, and the lowest in the summer. In the winter, bbp(443) and adg(443) can reach over ~1.5 and ~5.0 m−1, respectively, while they are ~0.5–1.0 and ~2.0 m−1 in the summer. This study shows that in Lake Taihu adg(λ) is the most significant IOP, while aph(λ) is the least in terms of the IOP values and contributions to remote sensing reflectance. The highest bbp(λ) and adg(λ) occurred in the winter between 2017–2018, and the lowest bbp(λ) and adg(λ) occurred in the summer of 2014. In comparison, the seasonal and interannual variability of mean aph(λ) for Lake Taihu is less significant, even though enhanced seasonal and interannual variability can be found in some parts of Lake Taihu, such as in the northern Lake Taihu region.
Rangeland Productivity Partitioned to Sub-Pixel Plant Functional Types
Authors: Robinson Nathaniel P. , Jones Matthew O. , Moreno Alvaro , Erickson Tyler A. , Naugle David E. , Allred Brady W.
Published: June 2019

Understanding and monitoring the dynamics of rangeland heterogeneity through time and across space is critical for the effective management and conservation of rangeland systems and the sustained supply of the ecosystem goods and services they provide. Conventional approaches (both field-based and remote sensing) to monitoring rangeland productivity fail to effectively capture important aspects of this heterogeneity. While field methods can effectively capture high levels of detail at fine spatial and temporal resolutions, they are limited in their applicability and scalability to larger spatial extents and longer time periods. Alternatively, remote sensing based approaches that scale broad spatiotemporal extents simplify important heterogeneity occurring at fine scales. We address these limitations to monitoring rangeland productivity by combining a continuous plant functional type (PFT) fractional cover dataset with a Landsat derived gross primary production (GPP) and net primary production (NPP) model. Integrating the annual PFT dataset with a 16-day Landsat normalized difference vegetation (NDVI) composite dataset enabled us to disaggregate the pixel level NDVI values to the sub-pixel PFTs. These values were incorporated into the productivity algorithm, enabling refined estimations of 16-day GPP and annual NPP for the PFTs that composed each pixel. We demonstrated the results of these methods on a set of representative rangeland sites across the western United States. Partitioning rangeland productivity to sub-pixel PFTs revealed new dynamics and insights to aid the sustainable management of rangelands.
An Improved GPS-Inferred Seasonal Terrestrial Water Storage Using Terrain-Corrected Vertical Crustal Displacements Constrained by GRACE
Authors: Fok Hok Sum , Liu Yongxin
Published: June 2019

Based on a geophysical model for elastic loading, the application potential of Global Positioning System (GPS) vertical crustal displacements for inverting terrestrial water storage has been demonstrated using the Tikhonov regularization and the Helmert variance component estimation since 2014. However, the GPS-inferred terrestrial water storage has larger resulting amplitudes than those inferred from satellite gravimetry (i.e., Gravity Recovery and Climate Experiment (GRACE)) and those simulated from hydrological models (e.g., Global Land Data Assimilation System (GLDAS)). We speculate that the enlarged amplitudes should be partly due to irregularly distributed GPS stations and the neglect of the terrain effect. Within southwest China, covering part of southeastern Tibet as a study region, a novel GPS-inferred terrestrial water storage approach is proposed via terrain-corrected GPS and supplementary vertical crustal displacements inferred from GRACE, serving as "virtual GPS stations" for constraining the inversion. Compared to the Tikhonov regularization and Helmert variance component estimation, we employ Akaike’s Bayesian Information Criterion as an inverse method to prove the effectiveness of our solution. Our results indicate that the combined application of the terrain-corrected GPS vertical crustal displacements and supplementary GRACE spatial data constraints improves the inversion accuracy of the GPS-inferred terrestrial water storage from the Helmert variance component estimation, Tikhonov regularization, and Akaike’s Bayesian Information Criterion, by 55%, 33%, and 41%, respectively, when compared to that of the GLDAS-modeled terrestrial water storage. The solution inverted with Akaike’s Bayesian Information Criterion exhibits more stability regardless of the constraint conditions, when compared to those of other inferred solutions. The best Akaike’s Bayesian Information Criterion inverted solution agrees well with the GLDAS-modeled one, with a root-mean-square error (RMSE) of 3.75 cm, equivalent to a 15.6% relative error, when compared to 39.4% obtained in previous studies. The remaining discrepancy might be due to the difference between GPS and GRACE in sensing different surface water storage components, the remaining effect of the water storage changes in rivers and reservoirs, and the internal error in the geophysical model for elastic loading.
Moving towards a Network of Autonomous UAS Atmospheric Profiling Stations for Observations in the Earth’s Lower Atmosphere: The 3D Mesonet Concept
Authors: Chilson Phillip B. , Bell Tyler M. , Brewster Keith A. , Britto Hupsel de Azevedo Gustavo , Carr Frederick H. , Carson Kenneth , Doyle William , Fiebrich Christopher A. , Greene Brian R. , Grimsley James L. , Kanneganti Sai Teja , Martin Joshua , Moore Andrew , Palmer Robert D. , Pillar-Little Elizabeth A. , Salazar-Cerreno Jorge L. , Segales Antonio R. , Weber Mark E. , Yeary Mark , Droegemeier Kelvin K.
Published: June 2019

The deployment of small unmanned aircraft systems (UAS) to collect routine in situ vertical profiles of the thermodynamic and kinematic state of the atmosphere in conjunction with other weather observations could significantly improve weather forecasting skill and resolution. High-resolution vertical measurements of pressure, temperature, humidity, wind speed and wind direction are critical to the understanding of atmospheric boundary layer processes integral to air–surface (land, ocean and sea ice) exchanges of energy, momentum, and moisture; how these are affected by climate variability; and how they impact weather forecasts and air quality simulations. We explore the potential value of collecting coordinated atmospheric profiles at fixed surface observing sites at designated times using instrumented UAS. We refer to such a network of autonomous weather UAS designed for atmospheric profiling and capable of operating in most weather conditions as a 3D Mesonet. We outline some of the fundamental and high-impact science questions and sampling needs driving the development of the 3D Mesonet and offer an overview of the general concept of operations. Preliminary measurements from profiling UAS are presented and we discuss how measurements from an operational network could be realized to better characterize the atmospheric boundary layer, improve weather forecasts, and help to identify threats of severe weather.
Robust Shelf Monitoring Using Supervised Learning for Improving On-Shelf Availability in Retail Stores
Authors: Higa Kyota , Iwamoto Kota
Published: June 2019

This paper proposes a method to robustly monitor shelves in retail stores using supervised learning for improving on-shelf availability. To ensure high on-shelf availability, which is a key factor for improving profits in retail stores, we focus on understanding changes in products regarding increases/decreases in product amounts on the shelves. Our method first detects changed regions of products in an image by using background subtraction followed by moving object removal. It then classifies the detected change regions into several classes representing the actual changes on the shelves, such as “product taken (decrease)” and “product replenished/returned (increase)”, by supervised learning using convolutional neural networks. It finally updates the shelf condition representing the presence/absence of products using classification results and computes the product amount visible in the image as on-shelf availability using the updated shelf condition. Three experiments were conducted using two videos captured from a surveillance camera on the ceiling in a real store. Results of the first and second experiments show the effectiveness of the product change classification in our method. Results of the third experiment show that our method achieves a success rate of 89.6% for on-shelf availability when an error margin is within one product. With high accuracy, store clerks can maintain high on-shelf availability, enabling retail stores to increase profits.
Summary of Indiana Farm Fatalities Involving Individuals 55 Years and Older—1988–2017
Authors: Tormoehlen Sean A. , Field William E.
Published: June 2019

Agriculture has historically been one of the most hazardous of all occupations, with a variety of potential safety risks to workers and even higher risks documented for older agricultural workers. This study was undertaken to document and summarize Indiana farm work-related fatalities involving persons 55 years and older over the 30 year period from 1988 to 2017. Data were mined from the Purdue University Agricultural Safety and Health Program’s Fatality Database that dates back to the 1960s. A total of 388 fatalities involving persons 55 years and older was documented. The average age of the victims was 69.3 years old, and an overwhelming majority of the cases involved males (96.1%). The average number of deaths per year has remained fairly consistent, though it has occasionally been erratic, with an unanticipated increase in the number of documented fatalities over the period 2012–2017. There appeared to be a direct positive correlation between the level or intensity of agricultural production in a county and the frequency of fatalities. The type of fatal injury most commonly reported was crush/run-over, with 229 cases (59%). The most common agent or source of injury involved was tractors, with 157 cases (40.5%). Another noted contributing factor was the high frequency of incidents in which the victim was reported to be working alone at the time of death. Findings will be used to develop evidence-based injury prevention strategies, including the development of agricultural safety training materials and methods more relevant to older farmers. A special emphasis should be placed on reducing the risk of tractor and farm machinery overturns, especially when older, non-roll over protection structure (ROPS) equipped tractors are being operated.
Zerumbone and Kaempferol Derivatives from the Rhizomes of Zingiber montanum (J. Koenig) Link ex A. Dietr. from Bangladesh
Authors: Hassan Md. Mahadi , Adhikari-Devkota Anjana , Imai Teruko , Devkota Hari Prasad
Published: June 2019

Zingiber montanum (J. Koenig) Link ex A. Dietr. (Zingiberaceae) is known as “Banada” in Bangladesh, and the rhizomes are frequently used in traditional medicines for the treatment of constipation, dyspepsia, flatulence, stomach bloating, and as mosquito repellant. In this study, dried rhizomes were extracted successively with 95% and 50% ethanol and the combined extract was then subjected to various column chromatographic methods to isolate one sesquiterpenoid derivative, zerumbone (1) and five kaempferol derivatives, i.e., kaempferol 3-O-methyl ether (2), kaempferol 3-O-α-rhamnopyranoside (3), kaempferol 3-O-α-(4”-O-acetyl)rhamnopyranoside (4), kaempferol 3-O-α-(3”-O-acetyl)rhamnopyranoside (5), and kaempferol 3-O-α-(3”,4”-di-O-acetyl)rhamnopyranoside (6). All compounds except 1 were isolated for the first time from the title plant.
Effects of Service Quality, Corporate Image, and Customer Trust on the Corporate Reputation of Airlines
Authors: Song HakJun , Ruan Wenjia , Park Yunmi
Published: June 2019

With the continuously increasing demand for air travel, competition among airlines has increased as well. The purpose of this study is to examine empirically the causal relationships among the perceived service quality, corporate image, customer trust, and corporate reputation of Asiana Airline in South Korea using SERVQUAL measures. An onsite survey of Korean passengers was conducted. The results of this study reveal that responsiveness and reliability of service quality significantly affect corporate image and customer trust, whereas tangibles, empathy, and assurance of service quality are not significant antecedents of corporate image and customer trust. It is also found that corporate image and customer trust significantly affect corporate reputation. Based on these findings, theoretical importance and practical implications are discussed in this paper.
Cholesky Factorization Based Online Sequential Extreme Learning Machines with Persistent Regularization and Forgetting Factor
Authors: Zhou Xinran , Kui Xiaoyan
Published: June 2019

The online sequential extreme learning machine with persistent regularization and forgetting factor (OSELM-PRFF) can avoid potential singularities or ill-posed problems of online sequential regularized extreme learning machines with forgetting factors (FR-OSELM), and is particularly suitable for modelling in non-stationary environments. However, existing algorithms for OSELM-PRFF are time-consuming or unstable in certain paradigms or parameters setups. This paper presents a novel algorithm for OSELM-PRFF, named “Cholesky factorization based” OSELM-PRFF (CF-OSELM-PRFF), which recurrently constructs an equation for extreme learning machine and efficiently solves the equation via Cholesky factorization during every cycle. CF-OSELM-PRFF deals with timeliness of samples by forgetting factor, and the regularization term in its cost function works persistently. CF-OSELM-PRFF can learn data one-by-one or chunk-by-chunk with a fixed or varying chunk size. Detailed performance comparisons between CF-OSELM-PRFF and relevant approaches are carried out on several regression problems. The numerical simulation results show that CF-OSELM-PRFF demonstrates higher computational efficiency than its counterparts, and can yield stable predictions.
The Financial Burden of Tuberculosis for Patients in the Western-Pacific Region
Authors: Viney Kerri , Islam Tauhidul , Hoa Nguyen Binh , Morishita Fukushi , Lönnroth Knut
Published: June 2019

The End Tuberculosis (TB) Strategy has the ambitious goal of ending the global TB epidemic by the year 2030, which is aligned to the Sustainable Development Goals. One of three high level indicators of the Strategy is the “catastrophic costs” indicator, which aims to determine the proportion of TB-affected households that incur TB-care related costs equivalent to 20% or more of their annual household income. The target is that zero percentage of TB-affected households will incur catastrophic costs related to TB care by the year 2020. In the Western Pacific Region of the World Health Organization, it is a priority to determine the financial burden of TB and then act to mitigate it. To date, eight countries in the Region have conducted nationally representative TB patient cost surveys to determine the costs of TB care. The results from four countries that have completed these surveys (i.e., Fiji, Mongolia, the Philippines, and Vietnam) indicate that between 35% and 70% of TB patients face catastrophic costs related to their TB care. With these results in mind, significant additional efforts are needed to ensure financial risk protection for TB patients, expand Universal Health Coverage, and improve access to social protection interventions. A multi-sectoral approach is necessary to achieve this ambitious goal by the year 2020.
Hurdles for Phage Therapy to Become a Reality—An Editorial Comment
Authors: Brüssow Harald
Published: June 2019

This special issue of Viruses asks experts in the field about “Hurdles to phage therapy (PT) to become a reality” [...]
Managing Municipal Wastewater Treatment to Control Nitrous Oxide Emissions from Tidal Rivers
Authors: Akella Chandra Sekhar , Bhallamudi S. Murty
Published: June 2019

Waste load allocation management models were developed for controlling nitrous oxide emissions from a tidal river. The decision variables were treatment levels at wastewater discharging stations and the rate of upstream water release. The simulation model for N2O emissions from the river was embedded in the optimization model and the problem was solved using the simulated annealing technique. In two of the models, the total cost was minimized, while in the third model, emissions from the river were minimized for a specified constraint on the available money. Proof-of-concept studies, with hypothetical scenarios for contaminant loading but realistic flow conditions corresponding to the Tyne River, UK, were carried out. It was found that the treatment cost could be reduced by 36% by treating wastewater discharges in the upper reaches more during the high tide as compared to during low tide. For the same level of N2O emissions, approximately 16.7% lesser costs could be achieved by not only treating the wastewater but also inducing dilution by releasing more water from the upstream side. It was also found that beyond a limit, N2O emissions cannot be reduced significantly by spending more money on treatment and water release.
Is Water Pricing Policy Adequate to Reduce Water Demand for Drought Mitigation in Korea?
Authors: Park Haekyung , Lee Dong Kun
Published: June 2019

Korea experienced an unexpected drought in the southern Seoul metropolitan area from 2015 to 2017. After that, the Korean government has been drafting various policies to mitigate the effects of drought. However, these are primarily long-term drought policies, such as reservoir expansion. A comprehensive water demand reduction policy, which considers both short-term and long-term droughts, is also required. To confirm the effectiveness of the water pricing policy in Korea, we estimated the water demand reduction volume during droughts by assuming the drought and water pricing policy. We used two models for simulation: the severe drought area prediction (SDAP) model and the SD (system dynamics) model. The results showed the water demand reduction by price would not be significantly effective in Korea. We indicated that the effectiveness of policies could differ in each situation so that appropriate policies are needed for each country. This discussion could provide policy implications for other countries being at risk of droughts as well as the Korean government. Furthermore, we discussed non-price water policies that could be implemented in combination with the pricing policy in cases where the water pricing policy does not effectively reduce water demand.
Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region
Authors: Wu Zuhang , Zhang Yun , Zhang Lifeng , Hao Xiaolong , Lei Hengchi , Zheng Hepeng
Published: June 2019

In this study, we evaluated the performance of rain-retrieval algorithms for the Version 6 Global Precipitation Measurement Dual-frequency Precipitation Radar (GPM DPR) products, against disdrometer observations and improved their retrieval algorithms by using a revised shape parameter µ derived from long-term Particle Size Velocity (Parsivel) disdrometer observations in Jianghuai region from 2014 to 2018. To obtain the optimized shape parameter, raindrop size distribution (DSD) characteristics of summer and winter seasons over Jianghuai region are analyzed, in terms of six rain rate classes and two rain categories (convective and stratiform). The results suggest that the GPM DPR may have better performance for winter rain than summer rain over Jianghuai region with biases of 40% (80%) in winter (summer). The retrieval errors of rain category-based µ (3–5%) were proved to be the smallest in comparison with rain rate-based µ (11–13%) or a constant µ (20–22%) in rain-retrieval algorithms, with a possible application to rainfall estimations over Jianghuai region. Empirical Dm–Ze and Nw–Dm relationships were also derived preliminarily to improve the GPM rainfall estimates over Jianghuai region.
Bacterial and Archaeal Assemblages from Two Size Fractions in Submarine Groundwater Near an Industrial Zone
Authors: Chen Xiaogang , Ye Qi , Du Jinzhou , Zhang Jing
Published: June 2019

Nutrients and organic pollutants transported by submarine groundwater discharge (SGD) play a significant role in controlling water quality, and can lead to the concerned deleterious effects on marine ecosystems. Subterranean estuaries are complicated habitats of diverse microbial communities that mediate different biogeochemical processes. However, there is less information on how microorganisms mediate biogeochemical cycles in the submarine groundwater system. In this study, we investigated the changes in bacterial and archaeal assemblages from two size fractions (0.2–0.45 μm and >0.45 μm) in the submarine groundwater of Qinzhou Bay, China. Phylogenetic analysis showed that Bathyarchaeota was dominant in archaeal communities in the >0.45 μm size fraction, but was seldom in the 0.2–0.45 μm fraction. The co-occurrence of sequences belonging to Bathyarchaeota and Methanosaeta was found in the >0.45 μm size fraction. Since a gene encoding acetate kinase of Bathyarchaeota is involved in acetate production, and acetate is also a necessary growth factor for Methanosaeta, the acetate produced by Bathyarchaeota can provide food or energy sources for Methanosaeta in this very >0.45 μm size fraction. The most abundant bacterial sequences in the >0.45 μm size fraction was closely related to biomineral iron-oxidizing Gallionella spp., whereas the dominant bacterial sequences in the 0.2–0.45 μm fraction were affiliated with Limnohabitans spp., which can utilize dissolved organic matter as an important source of growth substrates. Notably, approximately 10% of the bacterial sequences in both of the two size fractions belonged to Novosphingobium spp., which plays an important role in the degradation of pollutants, especially aromatic compounds. Furthermore, the predictive functional profiling also revealed that the pathways involved in the degradation of aromatic compounds by both bacteria and archaea were identified. The presence of nutrients or pollutants in our study site provides different substrates for the growth of the specific microbial groups; in turn, these microbes may help to deplete pollutants to the ocean through submarine groundwater. We suggest that these specific microbial groups could be potential candidates for effective in situ bioremediation of groundwater ecosystems.
Factors Influencing Attachment toward Fukushima-gata Lagoon: Analyzing Changes in the Lifestyle of Regional Residents
Authors: Ogawa Daiki , Fukumoto Rui
Published: June 2019

The growing shortage of human resources for managing landscape in the water environment has led to problems concerning the preservation of the landscape in Japan. For developing people have the awareness to preserve the landscape, it is important to understand the process of how regional residents develop attachment toward the water environment in their area. This paper identified factors influencing the frequency of the visits to the water environment and the attachment of residents toward the Fukushima-gata lagoon, Niigata Prefecture, Japan, as a case study, while focusing on changes in the lifestyle of the regional residents. The findings are as follows: (1) The target households frequently used Fukushima-gata lagoon for fishing and for picking edible wild plants and gathering reeds to make thatched roofs before the reclamation project was carried out by the government in Fukushima-gata lagoon. They also frequented Fukushima-gata lagoon for walking and cherry blossom viewing after the reclamation project was implemented. (2) Even the fact that the distance from the lagoon to their place of residence increased after the project did not lose their attachment to the lagoon. (3) It was suggested that the project contributed to increase the attachment of regional residents towards Fukushima-gata lagoon because of multiple factors, such as playing in the water, livelihood opportunities, and recreational use. (4) Changes in the attachment of regional residents toward Fukushima-gata lagoon before and after the reclamation project was carried out by the government corresponded to changes in the lifestyle of the local residents before and after the project.
Contribution of Biological Effects to the Carbon Sources/Sinks and the Trophic Status of the Ecosystem in the Changjiang (Yangtze) River Estuary Plume in Summer as Indicated by Net Ecosystem Production Variations
Authors: Zhang Yifan , Li Dewang , Wang Kui , Xue Bin
Published: June 2019

We conducted 24-h real-time monitoring of temperature, salinity, dissolved oxygen, and nutrients in the near-shore (M4-1), front (M4-8), and offshore (M4-13) regions of the 31° N section of the Changjiang (Yangtze) River estuary plume in summer. Carbon dioxide partial pressure changes caused by biological processes (pCO2bio) and net ecosystem production (NEP) were calculated using a mass balance model and used to determine the relative contribution of biological processes (including the release of CO2 from organic matter degradation by microbes and CO2 uptake by phytoplankton) to the CO2 flux in the Changjiang River estuary plume. Results show that seawater in the near-shore region is a source of atmospheric CO2, and the front and offshore regions generally serve as atmospheric CO2 sinks. In the mixed layer of the three regions, pCO2bio has an overall positive feedback effect on the air–sea CO2 exchange flux. The contribution of biological processes to the air–sea CO2 exchange flux (Cont) in the three regions changes to varying extents. From west to east, the daily means (±standard deviation) of the Cont are 32% (±40%), 34% (±216%), and 9% (±13%), respectively. In the front region, the Cont reaches values as high as 360%. Under the mixed layer, the daily means of potential Conts in the near-shore, front, and offshore regions are 34% (±43%), 8% (±13%), and 19% (±24%), respectively. The daily 24-hour means of NEP show that the near-shore region is a heterotrophic system, the front and offshore regions are autotrophic systems in the mixed layer, and all three regions are heterotrophic under the mixed layer.
Impact of Vegetation Density on the Wake Structure
Authors: Yu Zijian , Wang Dan , Liu Xingnian
Published: June 2019

Research of interactions between in-channel vegetation and flow structure is important for the restoration of aquatic ecosystems. This study aims to investigate the impact of the vegetation patch density on the wake structure. We used uniform fiberglass circular cylinders to simulate the non-submerged rigid plant community. In addition, a wide range of vegetation patch densities was considered and a 3D acoustic Doppler velocimeter (ADV) was used to measure local flow velocities. High-density vegetation patches correlated with a high maximum turbulent kinetic energy and a double-peak phenomenon for the lateral distribution. In conclusion, differences between Reynolds shear stresses near the bed surface upstream and downstream of vegetation patches correlate with the vegetation density.
Pengaruh Pemahaman Panggilan Guru Kristen terhadap Pemberitaan Injil
Authors: Siman Juntak Justin Niaga
Published: June 2019

Gospel preaching is a very important task, including Christian teachers who teach in schools. The entry of non-Christian teachers in YPK Pelita Pengharapan schools, moreover the subject of Islamic Education in two YPK Pelita Pengharapan Christian schools and being a teacher as a stepping stone to becoming civil servants indicates a weak preaching process in YPK Pelita Christian School Hope. The study was conducted to obtain empirical evidence about the influence of the understanding of Christian teacher's call to preaching the Gospel The Javanese Christian Church teachers in the Pelita Pengharapan Christian Education Foundation Research School were conducted in nine schools of the Pelita Pengharapan Christian Education Foundation spread in three sub-districts namely Patimuan, Sidareja, and Gandrungmangu. The data analysis method used is a simple regression analysis of 51 respondents. The results showed that the understanding of the Christian teacher's call had a positive and significant effect on the preaching of the Gospel of the Javanese Christian Church Teachers in the schools of the Pelita Pengharapan Christian Education Foundation, Cilacap Regency.AbstrakPemberitaan Injil merupakan tugas yang sangat penting, termasuk bagi para guru Agama Kristen yang mengajar di sekolah. Masuknya guru-guru non Kristen di sekolah-sekolah YPK Pelita Pengharapan, terlebih lagi mata pelajaran Pendidikan Agama Islam di dua sekolah Kristen YPK Pelita Pengharapan dan menjadi guru sebagai batu loncatan untuk menjadi Pegawai Negeri Sipil mengindikasikan proses pemberitaan Injil yang lemah di sekolah Kristen YPK  Pelita Pengharapan. Penelitian dilakukan untuk memperoleh bukti empiris tentang pengaruh pemahaman tentang panggilan guru Kristen terhadap Pemberitaan Injil Guru-guru Gereja Kristen Jawa di sekolah-sekolah Yayasan Pendidikan Kristen Pelita Pengharapan Penelitian ini dilakukan di sembilan sekolah Yayasan Pendidikan Kristen Pelita Pengharapan yang tersebar di tiga kecamatan yaitu Patimuan, Sidareja dan Gandrungmangu. Metode analisis data yang digunakan adalah analisis regresi sederhana terhadap 51 responden. Hasil penelitian menunjukkan bahwa pemahaman panggilan guru Kristen berpengaruh positif dan signifikan terhadap pemberitaan Injil Guru-guru Gereja Kristen Jawa di sekolah-sekolah Yayasan Pendidikan Kristen Pelita Pengharapan Kabupaten Cilacap.
Telaah Kritis Konstruktif Struktur dan Isi Pemahaman Bersama Iman Kristen dalam Perspektif Lutheran
Authors: Siagian Riris Johanna
Published: June 2019

The Understanding of  Together Christian Faith was the second document of the four of church unity document (DKG), was published by the resource department of Indonesia Church Communion. This document has seven chapters, the first chapter is talking about God, and the last chapter is talking about the Holy Bible. Since this document was published as a document of together in Indonesia in 1984 at Ambon, for churches have good awareness to get a theology for together in understanding. Nowadays, Indonesia has many problems about how to manage many persons with much different religion. For goal by doing a constructive analysis in Lutheran perspective for this document is very important to prepare this document to be relevant in many situations especially in multicultural, ethnic and religious context in Indonesia.AbstrakPemahaman Bersama Iman Kristen (PBIK) adalah dokumen kedua dari  empat bagian  Dokumen Keesaan Gereja (DKG), yang diterbitkan oleh Litbang Persekutuan Gereja-gereja di Indonesia. Dokumen ini terdiri dari 7 bab. Bab I, memuat  tentang Allah, dan bab terakhir yakni bab 7, memuat tentang Alkitab. Sejak ditetapkan sebagai Pengakuan Iman Bersama di Indonesia tahun 1984 di Ambon, bagi gereja-gereja makin tumbuh kesadaran akan pentingnya satu teologi yang dapat dipahami bersama sehingga aksi oikumenis dapat dilakukan dalam kehidupan beragama di Indonesia. Telaah kritis konstruktif dari perspektif Lutheran  atas dokumen ini dilakukan terutama untuk mempersiapkan agar dokumen ini tetap relevan menghadapi berbagai persoalan sosial dan kecenderungan di tengah-tengah masyarakat yang multikultural dalam konteks Indonesia.
Diagnosa Penyakit dengan Gejala Demam pada Manusia Berbasis Mobile : Knowledge Based System
Authors: Adler John
Published: June 2019

Abstrak – Demam adalah suatu penyakit yang disebabkan gangguan kesehatan oleh bakteri, virus, atau kelainan sistem jaringan pada organ tubuh manusia pada temperatur badan melebihi 370C, juga dipengaruhi oleh lingkungan berupa cuaca. Bisa juga merupakan perlawanan sel darah putih atau antibodi manusia dengan virus atau bakteri. Gejala penyakit ini dapat membahayakan nyawa seseorang jika tidak ditindaklanjuti secara serius. Untuk itu perlu pengetahuan dasar dalam mendeteksi demam tentang gejala-gejala dan jenis-jenis demam apa saja yang diderita seseorang. Meskipun nantinya sebagian kecil gejala-gejala tersebut mirip dengan penyakit yang lainnya, sehingga kita selalu salah dalam memprediksi suatu penyakit. Dalam riset ini dirancang sebuah program yang akurat pada manusia yang bisa mengidentifikasi penyakit demam, mampu mendeteksi jenis penyakit-penyakit yang mungkin dijangkiti oleh seseorang dengan gejala awal demam, serta mampu mengklasifikasikan gejala-gejalanya. Kemudian dengan menggunakan metode Logika Fuzzy dapat diukur tingkat kemungkinan setiap penyakit dengan gejala awal demam tersebut di setiap penyakit. Sehingga dari program ini akan ditunjukan beberapa jenis penyakit. Aplikasi perangkat mobile berupa smartphone yang digunakan berbasis android, sehingga program yang sudah dikemas dapat digunakan oleh masyarakat luas. Hasil dari penelitian ini dapat disimpulkan bahwa penyakit yang dapat di deteksi sebanyak 19 jenis penyakit dan 56  gejalanya. Dengan memakai metode black box akan dihasilkan 82,4 % dari hasil survey yang dilakukan di Puskesmas Tubagus Ismail Bawah, Rumah Sakit Hasan Sadikin, Mahasiswa, Masyarakat, Apoteker dan dokter. Sehingga tidak ada kegiatan konsultasi dengan dokter langsung dengan gejala awal ini, karena program yang dibuat sudah sangat membantu warga dalam mendiagnosa penyakit.

 

Kata kunci: Diagnosa, Demam, Mobile, Logika Fuzzy.
Sistem Aplikasi Pencarian Lokasi Parkir Terdekat Menggunakan Location Based Service Berbasis Android
Authors: Nurhayati Sri , Ilmi Egi Nur
Published: June 2019

Tujuan dari penelitian ini adalah membuat aplikasi pencarian parker terdekat sehingga dapat mempermudah pengguana parker dalam mencari tempat parker yang terdekat dan yang kosong. Kegiatan parkir yang dilakukkan secara sembarangan di tempat yang bukan peruntukannya akan menimbilkan kemacetan lalu lintas. Hal tersebut terjadi karena di akibatkan tidak tahunya pengguna kendaraan tentang info tempat – tempat parkir yang ada atau di karenakan tempat parkir yang ada sudah penuh.  Objek dari penelitian ini adalah lokasi tempat parkir yang ada di Kota Bandung. Analisis dari sistem aplikasi yang dibuat pada penelitian ini menggunakan pendekatan pemrograman berbasis objek dengan tools Unified Modeling Language (UML). Metode Location Based Service (LBS) digunakan untuk menganalisis pencarian lokasi parkir terdekat.  Berdasarkan dari hasil pengujian aplikasi, aplikasi dapat terimplementasi dengan baik pada perangkat android dan sudah dapat membantu pengguna parkir dalam mencari tempat parkir yang kosong dan terdekat dengan pengguna.

Kata Kunci – Parkir, Location Based Service (LBS), Unified Modeling Language  (UML), Pemrograman Berbasis Objek
Algoritma Apriori untuk Menampilkan Korelasi Nilai Akademik dengan Kelulusan Mahasiswa: Data Mining
Authors: Ginting Selvia Lorena Br
Published: June 2019

Jumlah data mahasiswa yang bertambah setiap tahun tentu mengakibatkan penumpukan data di perguruan tinggi. Dibutuhkan suatu teknik pengolahan data agar data yang menumpuk tidak sulit untuk dianalisa. Riset ini dilakukan untuk menganalisis hubungan antara data akademik mahasiswa dengan kategori kelulusan. Teknik pengolahan yang bervariasi perlu disesuaikan dengan kebutuhan analisis data, metode yang digunakan dalam riset ini adalah algoritma Apriori, yaitu algoritma Asosiasi yang menggunakan pengetahuan frekuensi atribut yang telah diketahui sebelumnya untuk memproses informasi selanjutnya. Riset ini dilakukan dengan memanfaatkan data akademik dan data kelulusan mahasiswa, yaitu dengan mencari persentase hubungan antara nilai mata kuliah mahasiswa terhadap kategori kelulusan menggunakan data mining. Kategori kelulusan diukur dari lama studi mahasiswa dan IPK, sedangkan data akademik yang digunakan adalah nilai mata kuliah mahasiswa. Informasi yang ditampilkan berupa nilai support (Nilai Penunjang) dan confidence (Nilai Kepastian).
Generating Giant Membrane Vesicles from Live Cells with Preserved Cellular Properties
Authors: Liu Qiaoling , Bi Cheng , Li Jiangling , Liu Xuejiao , Peng Ruizi , Jin Cheng , Sun Yang , Lyu Yifan , Liu Hui , Wang Huijing , Luo Can , Tan Weihong
Published: June 2019

Biomimetic giant membrane vesicles, with size and lipid compositions comparable to cells, have been recognized as an attractive experimental alternative to living systems. Due to the similarity of their membrane structure to that of body cells, cell-derived giant plasma membrane vesicles have been used as a membrane model for studying lipid/protein behavior of plasma membranes. However, further application of biomimetic giant membrane vesicles has been hampered by the side-effects of chemical vesiculants and the utilization of osmotic buffer. We herein develop a facile strategy to derive giant membrane vesicles (GMVs) from mammalian cells in biofriendly medium with high yields. These GMVs preserve membrane properties and adaptability for surface modification and encapsulation of exogenous molecules, which would facilitate their potential biological applications. Moreover, by loading GMVs with therapeutic drugs, GMVs could be employed for drug transport to tumor cells, which represents another step forward in the biomedical application of giant membrane vesicles. This study highlights biocompatible GMVs with biomimicking membrane surface properties and adaptability as an ideal platform for drug delivery strategies with potential clinical applications.
PERAN TATA KELOLA PERUSAHAAN PADA PENGUNGKAPAN MODAL INTELEKTUAL
Authors: Dewayanto Totok
Published: June 2019

The purpose of this study is to examine the role of corporate governance on the imposition of intellectual capital. This study uses company performance, capital structure and firm size as a control variable.The population in this study consisted of all manufacturing companies in the Indonesia Stock Exchange in the period 2015-2017. Sampling was carried out using the purposive sampling method. The total sample of this study was 381 companies.This study uses multiple regression analysis to test hypotheses. The results of this study indicate that board size, the proportion of independent commissioners, block holder ownership, and government ownership have a positive and significant effect on IC disclosure. Meanwhile, the board's tenure has no effect on IC disclosure.
GOVERNMENT ACCOUNTING STANDARD, HUMAN CAPACITY, INTERNAL CONTROL SYSTEM AND FINANCIAL SUPERVISION AS A QUALITY ANALYSIS OF GOVERNMENT FINANCIAL STATEMENTS
Authors: Muthaher Osmad
Published: June 2019

This study aims to analyze how much the commitment of local government officials is to support the quality of financial reports through the use of information technology (e-reporting use) to support the success of the Semarang city government in obtaining Unqualified Opinion (WTP). Based on the results of the BPK audit the last five years showed that the Semarang city government experienced significant growth. Even Semarang city government is the only local government that has been able to apply accrual accounting bases in Central Java Province. The population in this study were all Regional Work Units (SKPD) in the Semarang City government as many as 50 SKPD. Samples were obtained using purposive sampling method. The sample obtained by 75 respondents from 15 SKPD in Semarang City Government for the analysis unit is the Head of SKPD and the Head of Finance & Accounting Section at the SKPD. To analyze and identify hypotheses, multiple regression analysis is used to determine the effect between variables. Based on the results of multiple regression tests, the results show that the variables of Financial Accounting Standards, HR Capability, Internal Control Systems and Regional Financial Supervision have a significant positive effect on the quality of financial report performance, while moderating variables namely Organizational Commitment have no significant effect on the quality of financial statements
STRATEGI MENINGKATKAN KINERJA UMKM DI SERENAN, JUWIRING, KABUPATEN KLATEN
Authors: Yani Burhanudin Ahmad , Damayanti Ratna , Istiatin Istiatin
Published: June 2019

Micro, Small and Medium Enterprises (MSMEs) are business activities that contribute to improving economic conditions, especially the rural economy. However, the development of Micro, Small and Medium Enterprises (MSMEs) is very slow in competition with large companies in the era of free trade and globalization. Therefore all problems must be found the best solution with various efforts so that MSMEs perform well. The purpose of this study was to analyze and determine the improvement in the performance of MSMEs in Serenan, Juwiring District, Klaten Regency by observing both the influence of internal and external factors partially or jointly. The research methodology used is quantitative descriptive type. through the Survey directly to the research location, the population of this study was wood processing MSMEs (furniture) which were in Serenan, Juwiring, Klaten Regency totaling 34 producers. The sample in this study is a population of 34 producers. While the sampling technique used was the census of all producers in the Serenan Sub-District which numbered 34 questionnaire answers. The results showed that the performance of MSMEs in Serenan, Juwiring, Klaten Regency was significantly influenced by internal factors (consisting of aspects of HR, financial aspects, production aspects and marketing aspects) and external factors (aspects of government policy, aspects of socio-economic aspects and related institutions) both partially and together.
Rubiacearum Americanarum Magna Hama Pars XLIV: Review of the Palicourea pilosa Group, With Some New Species and a New Subspecies (Palicoureeae)
Authors: Taylor Charlotte M.
Published: June 2019

Palicourea Aubl. (Rubiaceae) comprises a large group of Neotropical species, many of which were previously classified in Psychotria L. subg. Heteropsychotria Steyerm. Ongoing study of those species here clarifies the identity of Palicourea pilosa (Ruiz & Pav.) Borhidi, Palicourea hazenii (Standl.) Borhidi, and several similar species, and classifies them all in Palicourea subg. Montanae C. M. Taylor sect. Montanae ser. 4 subser. f. Twenty-five species found from southern Central America through western South America are studied here. The circumscription of Palicourea pilosa is narrowed, four new nomenclatural combinations are made in Palicourea, and 10 new species and one new subspecies are described.
Strong Insertion of a Contra-α-continuous Function between Two Comparable Real-valued
Authors: Mirmiran Majid , Naderi Binesh
Published: June 2019

Necessary and sufficient conditions in terms of lower cut sets are given for the insertion of a contra-α-continuous function between two comparable real-valued functions.
Impact of CYP3A4 and CYP3A5 single nucleotide polymorphisms on anastrozole-associated adverse events among Malaysian breast cancer patients
Authors: Abubakar Murtala B. , Tan Huay Lin , Bhavaraju Venkata Murali Krishna , Gan Siew Hua
Published: June 2019

The catalytic activity of the cytochrome P450A (CYP3A4) enzyme is reportedly affected by the presence of single nucleotide polymorphisms (SNPs), leading to inter-individual variability in drug efficacy and adverse reactions. CYP3A4 polymorphisms can serve as potential biomarkers for predicting the efficacy of many drugs, including those used in breast cancer treatment. This study was conducted on 94 hormone receptor-positive postmenopausal breast cancer patients who received 1 mg of anastrozole per day. Anastrozole-associated adverse events (AAAEs), such as musculoskeletal adverse events (MSAEs), hot flashes, mood disturbance and vaginal dryness/dyspareunia, were assessed according to the Common Terminology Criteria for Adverse Events (CTCAE). The polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was performed to determine the allelic frequency of CYP3A4*4, CYP3A4*18A, CYP3A4*18B, CYP3A4*22 and CYP3A5*3. The frequencies of CYP3A4*18A T>C (rs28371759), CYP3A4*18B G>A (rs2242480) and CYP3A5*3 were 0.03, 0.48 and 0.64, respectively. However, no CYP3A4*4 A>G (rs55951658) or CYP3A4*22 C>T (rs35599367) alleles were detected. No significant association was observed between the alleles and the development of AAAEs. We have demonstrated for the first time that CYP3A4*18B G>A is highly prevalent among Malaysian breast cancer patients. The clinical relevance of CYP3A4*18B is currently under investigation by our group.
Antifungal activities against oil palm pathogen Ganoderma boninense from seaweed sources
Authors: Abdul Aziz Syamimi Diyana , Jafarah Nur Fazirah , Sabri Suriana , Abdul Wahab Mohd Aswad , Yusof Zetty Norhana Balia
Published: June 2019

Basal stem rot (BSR) disease is the most devastating disease in oil palm which is caused by a fungal pathogen, Ganoderma boninense. However, to date, there is no reliable control for this disease. This study investigated the antifungal potential of seaweed extracts against G. boninense and screening of the compounds possessing this antifungal activity. Four seaweed species namely cfSargassum oligocystum, Caulerpa racemosa, Caulerpa racemosa var. lamouroxii and cfHalimeda macrophysa were collected from Teluk Kemang, Port Dickson, Malaysia and their antifungal potential against G. boninense were evaluated. Two solvents with different polarities were used for crude extraction namely methanol and chloroform. Antifungal assay using crude methanolic and chloroform extracts from these seaweed species were carried out at various concentrations using the poisoned food technique. Caulerpa racemosa var. lamouroxii chloroform extract showed strong antifungal activity against G. boninense with 27.44% inhibition of the fungus followed by C. racemosa methanolic extract with 26.92% inhibition of the fungus at the lowest extract concentration of 0.25 mg/mL. The extracts were subjected to Gas Chromatography-Mass Spectrometry analysis and the dominant bioactive compounds detected in both extracts were phytol and l-(+)-ascorbic acid 2,6-dihexadecanoate which were also found in plant extracts showing antimicrobial activities in previous studies. The findings suggested that local Malaysian seaweed species have high potential as a source of antifungal compounds which could be useful specifically for the application in the oil palm industry.