bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of the Air Cargo Network on the Regional Economy under the Impact of High-Speed Rail in China
Authors: Hao Lulu , Zhang Na , Li Hongchang , Strauss Jack , Liu Xuejie , Guo Xuemeng
Published: October 2020

There is little research on the impact of air cargo networks on regional economic development, which is especially notable considering that Chinese airlines gradually adjusted their networks after the introduction of high-speed rail (HSR). This empirical study aims to fill this research gap. Firstly, we used the Ordinary Least Squares (OLS) method to study the effect of the air cargo network on the regional economy. The results show that, in eastern and central China, the higher the clustering coefficient of the domestic air cargo network, the more significant their promotion effect becomes on the GDP per capita, with cities in eastern China benefitting the most from this effect. However, for super-scale cities, the clustering coefficient of the domestic air cargo network has a significant negative effect on the GDP per capita, which is likely because both the air and HSR passenger services crowd out the development opportunities for air cargo. Secondly, we applied the Difference-in-Difference (DID) method in order to measure the impact on the regional economy caused by air cargo under the impact of HSR. The results show that the aviation network adjusted for the impact of HSR produces heterogeneous effects on cities for different regions and scales, and that the international aviation network has greater impacts on cities than the domestic network. In eastern China, HSR and air cargo (both international and domestic networks) promote economic growth simultaneously; in central China, only domestic air cargo has a positive effect on the regional economy; in western China, neither HSR nor air cargo has an obvious effect on the regional economy. Policy implications—such as encouraging the cooperation of HSR and civil aviation—are discussed, and could help bring the functions of the air cargo network in regional economic development into full play.
Supporting the Sustainability of Natural Fiber-Based Value Chains of SMEs through Digitalization
Authors: Kamišalić Aida , Šestak Martina , Beranič Tina
Published: October 2020

SMEs represent a significant share of business companies in Europe. Their limitations might be overcome by using value chains, resulting in successful development and growth also within traditionally low-digitalized, natural fiber-based domains. Reaching a sustainable competitive advantage for natural fiber-based value chains is possible by boosting the digitalization of the included SMEs. The digitalization level can be improved by properly addressing the detected digitalization issues and challenges. This paper aims at proposing a novel comprehensive approach for assessing the digitalization level of natural fiber-based value chains and the respective SMEs. Using the proposed dimensions, indicators, and corresponding measurement instruments, the digitalization level of a particular SME, as well as of the entire value chain of SMEs can be assessed. The paper additionally depicts a practical demonstration for applying the proposed approach within two case studies. The proposed approach favors low-digitalized SMEs to enter and benefit from the digitalized value chains, as well as provides the benefits and facilitates the growth and sustainability of the existing natural fiber-based value chains.
Investigation on Airport Landscape Cooling Associated with Irrigation: A Case Study of Adelaide Airport, Australia
Authors: Qian Jingming , Miao Shujiang , Tapper Nigel , Xie Jianguang , Ingleton Greg
Published: October 2020

Extreme summertime heat is becoming a major issue for aircraft operations. As global temperatures continue to rise, some of the heaviest planes on the longest flights may eventually be unable to depart during the hottest part of summer days. During summer days, some airports have to reduce the payload of aircraft, including cargo and/or passengers in the hotter days of summer. Nonetheless, there is no existing body of research on the potential for airport cooling. Furthermore, extreme heat on the ground also affects airport workers; loading and unloading luggage and servicing platforms between flights could become more arduous. With global warming proceeding, it is becoming increasingly urgent to find a suitable strategy to cool airport environments, perhaps by irrigation of a vegetated landscape. All airports have large enclosed areas (usually of grass) acting as a buffer between airport activities and the adjacent industrial, commercial and residential land utilization. This paper describes the trial of irrigating the buffer area of Adelaide airport and analyzes the performance of irrigation cooling for Adelaide airport, examining whether this can benefit human thermal comfort. Results indicate that irrigation provides cooling, and the cooling effect reduces along with the increasing instance from the middle of the irrigation area. At 15:00, the average air temperature was 1.8 °C cooler in the middle of the irrigation area than in the non-irrigation area, and the relative humidity was 5.8% higher during the trial period. On an extremely hot day (the maximum air temperature was 45.4 °C), it was 1.5 °C cooler in the middle of the irrigation area than upwind the of irrigation area, and 0.8 °C cooler than downwind of the irrigation area at 13:00. Human thermal comfort (HTC) is unfavorable in the runway, but greater improvements can be made through promotion of irrigation.
[D-Leu1]MC-LR Has Lower PP1 Inhibitory Capability and Greater Toxic Potency than MC-LR in Animal and Plant Tissues
Authors: Sedan Daniela , Malaissi Luciano , Vaccarini Cristian Adrián , Ventosi Ezequiel , Laguens Martín , Rosso Lorena , Giannuzzi Leda , Andrinolo Darío
Published: October 2020

Two microcystins, MC-LR and [D-Leu1]MC-LR, present in La Plata Basin blooms, are differentiated by substitution of D-Alanine for D-Leucine at position 1. Our objective was to evaluate acute toxicity of [D-Leu1]MC-LR and MC-LR in mice (N:NIH Swiss) and beans (Phaseolus vulgaris). We observed variations in [D-Leu1]MC-LR lethal doses with respect to those reported for MC-LR (100 μg/kg), with an increased liver/body weight ratio and intrahepatic hemorrhages in mice exposed to 50–200 μg [D-Leu1]MC-LR/kg and slight steatosis after a single 25 μg [D-Leu1]MC-LR/kg i.p. dose. Our study in the plant model showed alterations in germination, development, morphology and TBARs levels after a single contact with the toxins during imbibition (3.5 and 15 µg/mL), those treated with [D-Leu1]MC-LR being more affected than those treated with the same concentration of MC-LR. Protein phosphatase 1 (PP1) IC50 values were 40.6 nM and 5.3 nM for [D-Leu1]MC-LR and MC-LR, respectively. However, the total phosphatase activity test in root homogenate showed 60% inhibition for [D-Leu1]MC-LR and 12% for MC-LR. In mouse liver homogenate, 50% inhibition was observed for [D-Leu1]MC-LR and 40% for MC-LR. Our findings indicate the need for further research into [D-Leu1]MC-LR toxicity since together with oxidative stress, the possible inhibition of other phosphatases could explain the differences detected in the potency of the two toxins.
A Novel Uremic Score Reflecting Accumulation of Specific Uremic Toxins More Precisely Predicts One-Year Mortality after Hemodialysis Commencement: A Retrospective Cohort Study
Authors: Arai Yohei , Shioji Shingo , Tanaka Hiroyuki , Katagiri Daisuke , Hinoshita Fumihiko
Published: October 2020

Uremic toxins (UTs) generally accumulate in patients developing end-stage renal disease (ESRD). Although some kinds of UTs cause early death after starting hemodialysis (HD), it remains unknown whether the degree of excessive accumulation of various UTs is associated with worsening of prognosis. We retrospectively conducted this cohort study consisting of adult patients developing ESRD who initiated HD at the National Center for Global Health and Medicine from 2010 to 2019. We created a new uremic score, which was defined as the aggregate score of the following variables reflecting uremic state: elevated blood urea nitrogen, β2-microglobulin, and anion gap before starting HD. The primary outcome was early mortality within 1-year after HD commencement. The hazard ratio (HR) and 95% confidence interval (CI) for a one-point increase in uremic score was calculated with Cox proportional hazard models adjusted by baseline conditions. We included 230 participants, 16 of whom experienced the primary outcome of early mortality after HD commencement. Uremic score was significantly associated with the primary outcome (crude HR: 1.91, 95% CI 1.16–3.14; adjusted HR: 4.19, 95% CI 1.79–9.78). Our novel uremic score, reflecting accumulation of specific UTs, more precisely predicts early mortality after HD commencement.
The Toxin-Antitoxin Systems of the Opportunistic Pathogen Stenotrophomonas maltophilia of Environmental and Clinical Origin
Authors: Klimkaitė Laurita , Armalytė Julija , Skerniškytė Jūratė , Sužiedėlienė Edita
Published: October 2020

Stenotrophomonas maltophilia is a ubiquitous environmental bacterium that has recently emerged as a multidrug-resistant opportunistic pathogen causing bloodstream, respiratory, and urinary tract infections. The connection between the commensal environmental S. maltophilia and the opportunistic pathogen strains is still under investigation. Bacterial toxin–antitoxin (TA) systems have been previously associated with pathogenic traits, such as biofilm formation and resistance to antibiotics, which are important in clinical settings. The same species of the bacterium can possess various sets of TAs, possibly influencing their overall stress response. While the TA systems of other important opportunistic pathogens have been researched, nothing is known about the TA systems of S. maltophilia. Here, we report the identification and characterization of S. maltophilia type II TA systems and their prevalence in the isolates of clinical and environmental origins. We found 49 putative TA systems by bioinformatic analysis in S. maltophilia genomes. Despite their even spread in sequenced S. maltophilia genomes, we observed that relBE, hicAB, and previously undescribed COG3832-ArsR operons were present solely in clinical S. maltophilia isolates collected in Lithuania, while hipBA was more frequent in the environmental ones. The kill-rescue experiments in Escherichia coli proved higBA, hicAB, and relBE systems to be functional TA modules. Together with different TA profiles, the clinical S. maltophilia isolates exhibited stronger biofilm formation, increased antibiotic, and serum resistance compared to environmental isolates. Such tendencies suggest that certain TA systems could be used as indicators of virulence traits.
Impact of Chronic Levels of Naturally Multi-Contaminated Feed with Fusarium Mycotoxins on Broiler Chickens and Evaluation of the Mitigation Properties of Different Titers of Yeast Cell Wall Extract
Authors: Weaver Alexandra C. , King W. D. , Verax Morgan , Fox Ursula , Kudupoje Manoj B. , Mathis Greg , Lumpkins Brett , Yiannikouris Alexandros
Published: October 2020

The chronic intake of naturally multi-mycotoxin contaminated feed by broilers with or without titers of Yeast Cell Wall Extract (YCWE, a.k.a Mycosorb A+®), was investigated. Day-old male Cobb chicks (1600 birds, 64 pens, 25 birds/pen) were randomly allocated to diets of control (CON); diet containing mycotoxins (MT); CON + 0.2% YCWE; MT + 0.025% YCWE; MT + 0.05% YCWE; MT + 0.1% YCWE; MT + 0.2% YCWE; and MT + 0.4% YCWE. Growth performance, blood biochemical parameters and gut health were recorded over 42 days. Compared with CON, MT had reduced body weight (BW) and increased feed conversion ratio (FCR) on days 35 and 42 with increased duodenal crypt depth and fewer goblet cells. Furthermore, European Poultry Production Efficiency (EPEF) was reduced for MT versus CON. Feeding MT + 0.2% YCWE improved BW, lowered FCR, reduced crypt depth, increased goblet cell count and improved EPEF. Considering titration of YCWE (0 to 0.4%) during mycotoxin challenge, a cubic effect was observed for FCR with NC + 0.2% YCWE having the lowest FCR. These findings suggest that chronic consumption of multiple Fusarium mycotoxins present in common field concentrations can negatively impact broiler performance and gut health while inclusion of YCWE, particularly 0.2%, could be effective in counteracting mycotoxins.
Soft Anomalous Dimensions and Resummation in QCD
Authors: Kidonakis Nikolaos
Published: October 2020

I discuss and review soft anomalous dimensions in QCD that describe soft-gluon threshold resummation for a wide range of hard-scattering processes. The factorization properties of the cross section in moment space and renormalization-group evolution are implemented to derive a general form for differential resummed cross sections. Detailed expressions are given for the soft anomalous dimensions at one, two, and three loops, including some new results, for a large number of partonic processes involving top quarks, electroweak bosons, Higgs bosons, and other particles in the standard model and beyond.
MicroRNAs as Biomarkers in Canine Osteosarcoma: A New Future?
Authors: Gourbault Olivia , Llobat Lola
Published: September 2020

Sarcomas are frequent in dogs and canine species are excellent animal models for studying the human counterpart. However, osteosarcomas are a rare form of sarcoma with high death rates in humans and dogs. miRNAs are small endogenous RNAs that regulate gene expression post-transcriptionally. The discovery of miRNAs could give a contribute in the diagnosis and prognosis of different types of tumors in animal species, as already in humans. The differentiated expression of miRNAs is a frequent finding in cancers and is related to their pathogenesis in many cases. Most canine and human sarcomas show similar miRNA aberrations. Lower levels of miR-1 and miR-133b in canine osteosarcoma tissues were found to increase tumorigenesis through a higher expression of their target genes MET and MCL1. The overexpression of miR-9 promotes a metastatic phenotype in canine osteosarcomas and its capacity as a prognostic biomarker for the disease is currently being evaluated. MicroRNAs at the 14q32 locus could be used as prognostic biomarkers, since their decreased expression has been associated with poor prognosis in canine and human osteosarcomas. Furthermore, a decreased expression of miR-34a in osteosarcoma tumour cells has been associated with shorter disease-free survival times and its reintroduction as a synthetic prodrug shows good potential as a novel therapeutic target to fight the disease. Circulating miR-214 and miR-126 are significantly increased in a broad-spectrum cancer and have the ability to successfully predict the prognosis of dogs. However, further studies are needed to make the use of miRNAs as biomarkers a common practice.
Aplikasi Website Pengajuan Cuti Karyawan Rumah Sakit Islam Assyifa Sukabumi Berbasis Whatsapp Blast
Authors: Firmansah D A , Rohman R S , Farlina Y
Published: October 2020

Rumah sakit Islam Assyifa merupakan rumah sakit islam di Sukabumi yang sangat memperhatikan kesejahteraan karyawannya. Salah satu bukti nyata terlaksananya maksud tersebut yaitu berupa pemberian jatah cuti pertahun untuk masing-masing karyawan. Untuk menunjang proses pengajuan cuti ini diperlukan suatu sistem yang baik dengan memanfaatkan website yang ada serta perangkat smartphone yang dimiliki oleh masing-masing karyawan. Hal ini tentunya dapat dilakukan dengan mudah dan lebih cepat karena setiap karyawan yang akan mengajukan cuti hanya cukup mengakses halaman website yang telah ditentukan. Proses pengajuan cuti akan secara otomatis diketahui oleh atasan terkait mengingat notifikasi pengajuan cuti karyawan dapat langsung terkirim pada nomor whatsapp atasan terkait sehingga proses verfikasi pengajuan pun dapat dilakukan secara real time oleh atasan terkait. Dengan adanya sistem tersebut proses rekapitulasi data akan berlangsung lebih cepat mengingat cuti karyawan sangat berpengaruh pada jadwal dinas karyawan masing-masing bagian di RSI Assyifa Sukabumi yang selanjutnya akan berdampak pada pemberian insentif pada masing-masing karyawan.
Risk Factors for Kidney Stone Formation following Bariatric Surgery
Authors: Prochaska Megan , Worcester Elaine
Published: October 2020

Kidney stones are painful, common, and increasing in incidence. Obesity and bariatric surgery rates are also on the rise in the United States. Although bariatric surgery is associated with improvements in metabolic outcomes, malabsorptive bariatric surgery procedures are also associated with increased risk of kidney stones. Restrictive bariatric surgeries have not been associated with kidney-stone risk. Higher risk of kidney stones after malabsorptive procedures is associated with postsurgical changes in urine composition, including high urine oxalate, low urine citrate, and low urine volume. Certain dietary recommendations after surgery may help mitigate these urine changes and reduce risk of kidney stones. Understanding risk of kidney stones after surgery is essential to improving patient outcomes after bariatric surgery.
The Central Role of Taxonomy in the Study of Neotropical Biodiversity
Authors: Lagomarsino Laura P. , Frost Laura A.
Published: September 2020

The Neotropics are the most species-rich area of the planet. Understanding the origin and maintenance of this diversity is an important goal of ecology and evolutionary biology. Success in this endeavor relies heavily on the past work of taxonomists who have collected specimens and produced the floras and monographs that constitute the foundation for the study of plant diversity. To illustrate this, we visualize collecting efforts through time and identify the importance of past taxonomic and collection efforts in generating the bulk of specimen data that broad-scale analyses rely on today. To demonstrate the importance of taxonomy for the study of Neotropical biodiversity, we showcase selected plant groups in which in-depth taxonomic understanding has facilitated exciting evolutionary and ecological research and highlight the teams of scientists who have built on the legacy of Alwyn Gentry, one of the most prolific taxonomists of the late 20th century. We also discuss challenges faced by taxonomists, including perceived subjectivity, difficulty in measuring impact, and the need to become more interdisciplinary. We end with potential solutions going forward, including integration of taxonomists in interdisciplinary research, advocacy for continued collection efforts, increased funding for alpha taxonomic research that is performed with increasingly replicable methodology, and explicit decolonization efforts to increase inclusivity and equity in the field of taxonomy. Acknowledging the central role of taxonomy and taxonomists is essential to accurately and completely describe Neotropical biodiversity patterns in an age of unprecedented extinction risk and conservation need.
Compostagem da casca da mandioca: estudo de caso em uma comunidade no município de Abaetetuba-PA / Compass of the cassava shell: a case study in a community in the city of Abaetetuba-PA
Authors: Garcia Waldilene do Carmo , Fenzl Norbert
Published: October 2020

A produção de adubo através da compostagem é uma maneira eficaz de diminuir o gasto que o pequeno produtor tem para cultivar os produtos agrícolas, entretanto, a qualidade deste composto é uma vantagem imprescindível para que a produção tenha boa qualidade, a questão ambiental também é um forte motivo para reaproveitar os resíduos orgânicos e assim ajudar no equilíbrio ecossistêmico da natureza. A partir disso, um dos motivos de desenvolver esta pesquisa é a necessidade que os agricultores familiares têm de comprar adubo mensalmente o que acaba comprometendo a rentabilidade econômica de alguns produtores, contudo, o principal objetivo deste trabalho foi à produção própria de adubo e a sensibilização para dar destino adequado aos resíduos orgânico. A pesquisa teve como lócus a comunidade de Camurituba-beira no Município de Abaetetuba-Pá, onde oito agricultores participaram, através de oficia teoria e prática na produção de adubo, tendo o levantamento socioeconômico como instrumento de coleta de dados. Os resultados obtidos foram 90 kg de adubo sendo testados em alguns cultivos para verificar a qualidade, além disso, o levantamento feito demostrou que a produção de adubo pelos agricultores poderá reduzir os gastos com a compra deste composto. Portanto, a pesquisa teve relevância socioambiental, uma vez que, trabalhou a sensibilização para o descarte correto dos resíduos, bem como apontou uma possível solução para a redução da compra de adubo.
Saúde, Meio Ambiente e indicadores RIPSA: Uma revisão de literatura / Health, Environment and RIPSA indicators: A literature review
Authors: Lopes Anaísa Filmiano Andrade , Neto Morun Bernadino
Published: October 2020

O presente estudo tem como objetivo propor a utilização dos indicadores básicos disponibilizados pela Rede Interagencial de Informação para a Saúde - RIPSA para análise das condições de saúde em municípios brasileiros, além disso, visa compreender a temática saúde e ambiente. Portanto, essa pesquisa se caracteriza como exploratória e descritiva, e o procedimento metodológico foi baseado na síntese crítica de estudos disponíveis sobre a temática mediante uma revisão de literatura. Foram realizadas buscas bibliográficas nas bases de dados: Medical Literature Analysis and Retrieval System Online - MEDLINE/PUBMED, Literatura Latino-Americana em Saúde da América Latina e Caribe – LILACS e Scientific Eletronic Library Online - SCIELO. Os descritores utilizados foram: Meio Ambiente e Saúde Pública; Indicadores Básicos de Saúde; Indicadores Ambientais e Brasil que finalizou com 31 documentos e após a aplicação dos critérios de inclusão e exclusão, foram selecionados 19 artigos para análise. Por meio de documentos disponibilizados na Biblioteca Virtual em Saúde exploraram-se os objetivos e o histórico da RIPSA para compreensão da sua matriz de indicadores. Os resultados apontam que a maioria dos estudos analisados aborda os aspectos de saúde relacionados com os determinantes ambientais, seguido dos sociais, econômicos e demográficos. E a RIPSA apresenta uma matriz de indicadores básicos, de fácil entendimento, que permite analisar as condições de saúde da população brasileira. Pode-se considerar que distintos indicadores têm sido desenvolvidos para avaliar as condições sanitárias e que são ferramentas essenciais para acompanhamento e monitoramento servindo como subsídio para tomadas de decisão dos gestores, e formação de políticas públicas.
Relação entre o número de larvas do mosquito transmissor da dengue e elementos climáticos / Relationship between number of mosquitos larvae dengue transmitters and climate elements
Authors: Moraes Rafael Aldighieri , Neto Exzolvildres Queiroz , Lamparelli Rubens Augusto Camargo
Published: October 2020

A dengue é uma epidemia que denota certa peculiaridade, pois, o principal vetor de transmissão, o mosquito Aedes aegypti apresenta um comportamento urbanícola e antropofílico em todo o seu ciclo de existência. Um outro vetor de transmissão em potencial, o Aedes albopictus, surge num cenário atual, sendo este o principal transmissor da dengue na Ásia (FIOCRUZ, 2008). De forma a confirmar o pressuposto de que há um aumento no número de mosquitos em períodos chuvosos e de temperaturas altas, foi feito o cruzamento de dados médios mensais de temperatura e totais mensais de chuva para os anos de 2007, 2008 e 2009 com o número total de larvas, mensal, do mosquito encontrado em armadilhas distribuídas uniformemente pelo campus da UNICAMP (Universidade Estadual de Campinas), administradas pelo Centro de Saúde Comunitária (CECOM) onde disponibiliza os dados na internet. A relação dos dados se mostrou satisfatória, com r² igual a 0,65, mas não satisfatório para temperatura média. Apesar disso, após a normalização dos dados, verifica-se graficamente que há uma relação entre número de larvas do mosquito com chuva e temperatura.
Diversidade fitoplanctônica da Área de Proteção Ambiental do rio Curiaú / Phytoplankton diversity of the Curiaú River Environmental Protection Area
Authors: Gemaque Tainára Cunha , Araújo Priscila Gomes de , Moraes Chrislayne Cristina , Silva Sérgio Rodrigues da , Oliveira Giovanni Resende de , Costa Daniel Pereira da
Published: October 2020

Os organismos planctônicos são geralmente pequenos e microscópicos presentes em todos os corpos de água pelo mundo. Este estudo teve o objetivo de identificar as espécies de fitoplâncton presentes na Área de Preservação do Curiaú. No estado do Amapá. A área de estudo está localizada na na cidade de Macapá-Amapá. A coleta foi realizada em três pontos com arrastos horizontais na lâmina d'água com rede de plâncton, com malha de 20 µm e 30 cm de diâmetro e 90 cm de comprimento, foram coletadas três amostras de 250 ml de água e em seguida foi adicionado ao frasco com a amostra de água 10 ml de formol neutralizado a 4%, após a coleta as amostras foram levadas para o Laboratório de Morfofisiologia e Sanidade Animal, da Universidade do Estado do Amapá onde foi feita a análise para a identificação dos organismos que estavam presentes nas lâminas analisadas, para cada amostra foram analisadas cinco lâminas em microscópio binocular. Após as análises foram identificadas 50 espécies de fitoplâncton, distribuídos em sete táxons (Charophyta, Chlorophyta, Bacillariophyta, Cyanophyta, Euglenophyta, Ochrophyta, Rhodophyta), com predominância o táxon Charophyta. O número de espécies do fitoplâncton, encontrado pode ser interpretado como uma medida de heterogeneidade do ambiente pois sistemas heterogêneos apresentam maior número de táxons.
Evaluation of the biochar quality using the germination index / Avaliação da qualidade de biochar por meio de índice de germinação
Authors: Corrêa Letícia Ferlete , Bertol Aline Bernardinelli , Ushiwata Silvio Yoshiharu , Reis Rodrigo de Góes Esperon , Marimon-Junior Ben Hur , Vilar Cesar Crispim
Published: October 2020

The objective was to evaluate, through germination tests, the quality of biochar produced from different residues. Aqueous biochar extracts were obtained from eucalyptus bark (EU), babassu nut shell (BA), pinus bark (PI), babassu bark and pinus bark (BA + PI), and mixture of Cerrado plants (CE), in addition to a control, consisting of distilled water. Seeds were sown in Petri dishes on sheets of germination paper moistened with the extracts and stored in a BOD incubator for 66 hours at 25°C and an 8-hour photoperiod. The germination percentage, radicle length, and germination index (GI) were evaluated. Values of GI were compared at the 5% level of significance by the Scott-Knott test. Values of GI for EU, BA+PI and CE were 99.3; 67.2; 58.0 and 50.0%, respectively, higher than the control. In PI, there was no significant difference. These beneficial effects of biochar are probably due to the absence, or at insignificant levels, of phytotoxic elements, the absence of salinity and the presence of nutrients in the extract. The evaluated biochar extracts showed no phytotoxicity and promoted higher germination and initial growth of lettuce, contributing to the production of more vigorous seedlings.
ANALISIS IMPLEMENTASI LAPORAN AKUNTABILITAS KINERJA INSTANSI PEMERINTAH PADA DINAS LINGKUNGAN HIDUP DAN KEBERSIHAN KOTA KUPANG
Authors: Susang Ernel Gustino , Rafael Sarinah Joyce Margaret
Published: September 2020

Penelitian ini bertujuan untuk mengetahui kesesuaian antara kinerja Laporan Akuntabilitas Kinerja Instansi Pemerintah (LAKIP) Dinas Lingkungan Hidup dan Kebersihan Kota Kupang terhadap kinerja di lapangan. Penelitian ini merupakan penelitian kualitatif deskriptif. Pengumpulan data menggunakan metode wawancara, dokumentasi, dan kuesioner. Teknik analisis data yang digunakan adalah analisis dengan metode komparatif. Hasil penelitian menunjukkan bahwa Kinerja OPD di lapangan belum sesuai dengan kinerja dalam LAKIP 2017.

Kata kunci : LAKIP, OPD, Dinas Lingkungan Hidup dan Kebersihan

 

This research aims to find out the suitability between the performance of the Government Agency Performance Accountability Report (LAKIP) of the Environment and Clean Departement of the Kupang City in the field. This research is a descriptive qualitative study. Data collection uses interview methods, documentation, and questionnaires. The data analysis technique used is analysis with a comparative method. The results showed that the performance of OPD in the field was not in line with the performance in LAKIP 2017.

Keywords: LAKIP, OPD, Environmental and Clean Departement
Propuesta metodológica, principios teóricos y enfoques para el proceso de creación dramatúrgica actoral
Authors: Lucas Elisa Martins
Published: September 2020

El artículo presenta una propuesta metodológica para el proceso de creación dramatúrgica actoral, que es una fusión de distintas metodologías de práctica escénica, teniendo por base el trabajo práctico de una actriz/dramaturga, apoyándose en postulados teóricos del arte de actor/actriz y en procedimientos de creadores contemporáneos. Tal propuesta, resultado de una investigación cuya metodología presentó características de una investigación práctica en las artes, puede proporcionar a profesionales y estudiantes de las Artes Escénicas instrumentalización para dar voz a sus creaciones y autonomía en sus procesos.
A REVIEW OF VOLTAGE CONTROL STRATEGIES FOR LOW-VOLTAGE NETWORKS WITH HIGH PENETRATION OF DISTRIBUTED GENERATION
Authors: Janiga Klara
Published: September 2020

Deterioration of voltage conditions is one of the frequent consequences of connecting an increasing number of photovoltaic sources to the low-voltage (LV) power grid. Under adverse conditions, i.e. low energy consumption and high insolation, microgeneration can cause voltage surges that violate acceptable limits. Research shows that the increase in voltage is the main limitation for connecting new energy microsources to the LV network and forces the reconstruction of the network. An alternative to costly modernizations can be the implementation of appropriate strategies for controlling network operation to maintain the voltage at the required level. The article presents an overview of the methods and concepts of voltage control in a low-voltage network developed so far to mitigate the undesirable phenomenon of voltage boosting. The focus was mainly on local methods—not requiring communication infrastructure—as best suited to the conditions of Polish distribution networks. Gathering the results of many tests and simulations carried out in different conditions and on different models allowed for the formulation of general conclusions and can be a starting point for further research on a control method that can be widely used in the national power system.
ANALYSIS OF HEAT TRANSFER IN BUILDING PARTITIONS WITH THE USE OF COMPUTATIONAL FLUID DYNAMICS TOOLS
Authors: Urzędowski Arkadiusz , Styczeń Joanna , Paśnikowska-Łukaszuk Magdalena
Published: September 2020

The article presents the mechanisms of heat exchange in building partitions along with a description of the phenomena occurring there. The methods of heat transport on selected examples of the construction of sandwich building walls were presented and discussed. A review of the methods allowing to determine the heat flux value by means of analytical methods and simulations based on numerical analyzes was carried out. The methodology of solving thermal problems has been presented, indicating the complexity of the phenomena occurring at the contact points of surfaces, for which the correct characteristics should be selected in more than one selected form of determining temperature distributions. Heat transport simulation was performed in ANSYS Fluent 2020 R2 software. The value of the heat flux density flowing through the outer wall of a single-family house located in Lublin, Poland was analytically determined. Three different structural wall solutions were adopted: one, two and three-layer. The obtained results were presented in a tabular manner, allowing for a clear verification of the correctness of the calculations performed with both selected methods.
THE INFLUENCE OF THE PRINCIPAL COMPONENT ANALYSIS OF TEXTURE FEATURES ON THE CLASSIFICATION QUALITY OF SPONGE TISSUE IMAGES
Authors: Dzierżak Róża
Published: September 2020

The aim of this article was to determine the effect of principal component analysis on the results of classification of spongy tissue images. Four hundred computed tomography images of the spine (L1 vertebra) were used for the analyses. The images were from fifty healthy patients and fifty patients diagnosed with osteoporosis. The obtained tissue image samples with a size of 50x50 pixels were subjected to texture analysis. As a result, feature descriptors based on a grey level histogram, gradient matrix, RL matrix, event matrix, autoregressive model and wavelet transform were obtained. The results obtained were ranked in importance from the most important to the least important. The first fifty features from the ranking were used for further experiments. The data were subjected to the principal component analysis, which resulted in a set of six new features. Subsequently, both sets (50 and 6 traits) were classified using five different methods: naive Bayesian classifier, multilayer perceptrons, Hoeffding Tree, 1-Nearest Neighbour and Random Forest. The best results were obtained for data on which principal components analysis was performed and classified using 1-Nearest Neighbour. Such an algorithm of procedure allowed to obtain a high value of TPR and PPV parameters, equal to 97.5%. In the case of other classifiers, the use of principal component analysis worsened the results by an average of 2%.
Blender as a tool for generating synthetic data
Authors: Sieczka Rafał , Pańczyk Maciej
Published: September 2020

Acquiring data for neural network training is an expensive and labour-intensive task, especially when such data isdifficult to access. This article proposes the use of 3D Blender graphics software as a tool to automatically generatesynthetic image data on the example of price labels. Using the fastai library, price label classifiers were trained ona set of synthetic data, which were compared with classifiers trained on a real data set. The comparison of the resultsshowed that it is possible to use Blender to generate synthetic data. This allows for a significant acceleration of thedata acquisition process and consequently, the learning process of neural networks.
Stress evolution in different growth mechanism of GaN grown by Na-flux method
Authors: Si Zhiwei , Liu Zongliang , Gu Hong , Ren Yujiao , Dong Xiaoming , Gao Xiaodong , Wang Jianfeng , Xu Ke
Published: October 2020

The study found that homoepitaxial Na-flux GaN has a large stress at the interface, and the stress is released to a certain extent within 50 μm in the growth direction of the Na-flux GaN. After passing through the columnar growth region, the Na-flux GaN tends to a stress-free state finally. The columnar growth mode is produced by GaN island growth, the islands nucleate and coalescence to produce tensile stress. The Na-flux GaN undergoes a columnar growth to generate tensile stress, which offsets the residual compressive stress at the interface, which is conducive to stress release.
Skipjack Tuna Fishing Ground Based on Oceanography Satellite Image Data in Fisheries Management Area (FMA) 713
Authors: Safruddin Safruddin , Hidayat Rachmat , Zainuddin Mukti
Published: October 2020

This study aimed to map the oceanographic conditions and, based on that, to determine the favorable condition of skipjack tuna fishing ground in Fisheries Management Area (FMA) 713. This condition includes sea surface temperature (SST) and chlorophyll-a concentration. The primary data, such as fishing ground position and fish catch per trip, was collected by following the fishing operations that utilized pole and line (in Bone Gulf and Flores Sea) and purse seine fishing operations (in Makassar Strait). The secondary data, such as SST and chlorophyll-a, was derived from oceanographic satellite image data. The result showed that from January to August 2019, the skipjack tuna tends to occupy off shore areas where the sea surface temperature is between 29 - 29.5 oC and the chlorophyll-a density is between 0.10 to 0.15 mg.m3.
Brain Tumor Detection using Deep Learning
Authors:   Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India., Gugale Rutuja , Sonar Pratiksha ,   Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India., Mandekar Anagha ,   Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India., Ubale Sonali ,   Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India., Latke Vaishali ,   Assistant Professor, Department of Computer Engineering, Pimpri Chinchwad College of Engineering and Research (PCCOER), Pune (Maharashtra), India.
Published: October 2020

Nowadays the leading techniques for diagnosing and revealing the different diseases are image processing. And there is an increase in the cases of cancer these days. The unrestricted development of cells cause’s lumps which leads to brain tumor also called glioblastoma. There are mainly two types of tumor benign which has covering over the tumor and malignant is the one which spreads throughout the places. Earlier the development of unrestricted cells used to be diagnosed by doctors physically through monitoring the image by which the results were not used to be precise sometimes. But time along boarding of medical fields lead to different medical facilities by which the results could be precise. The broadly approach method of imaging that scrutinizes the internal structure of the human race is Magnetic resonance Imaging. This approach of imaging techniques is also used for detecting brain tumors. The detection of glioblastoma processes has machine vision methods such as Image pre-processing, Segmentation in Image, Feature extraction and classification. Several image segmentation and image classification techniques are available for detecting tumor of the brain. Convolution neural networks (CNN) based classifiers are proposed to prevail the limitations. This CNN is such a classifier which is used to differentiate between the competent data and the trail data, from which the results could be obtained.
Robust Formal Watermarking Model Based on the Hyperbolic Geometry for Image Security
Authors:   Assistant Professor, Nazi Boni University, Burkina Faso., Tiendrebeogo Telesphore , Coulibaly Cheick Yacouba Rachid ,   Nazi Boni University, Burkina Faso., Badolo Maliki ,   Nazi Boni University, Burkina Faso.
Published: October 2020

The digital revolution has led to an increase in the production and exchange of valuable digitized documents across institutions, companies and the general public alike. Ensuring the authenticity, integrity and ownership of these official or high-value documents is essential if they are to be considered useful. Digital watermarking is a possible solution to this challenge as it has already been used for copyright protection, source tracking, and video authentication to name just a few applications of its use. It also enables integrity protection, which is of value for numerous documents types (e.g., official documents, medical images). In this paper, we propose a new watermarking solution that is applicable to image watermarking and is based on hyperbolic geometry. Our new solution builds upon existing work in geometrical watermarking.
Image Steganography
Authors:   Computer Science and engineering, Amrita Vishwa vidyapeetham, , Coimbatore, India., Jayasurya Yendluri Lohith , Yasaswini Yendluri Priya ,   Computer Science and engineering, SRM institute of technology, Amravathi, India., Saranya Somepalli ,   Electronics and communications engineering, vellore institute of technology, Vellore , India.
Published: October 2020

Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. The advantage of steganography is that the intended secret message does not attract attention to itself as an object of scrutiny. Steganography is concerned both with concealing the fact that a secret message is being sent and its contents. The change is so subtle that someone who is not specially looking for it is unlikely to notice the change. We intend to perform image steganography by designing a neural network that prepares the secret jpg image and hides the prepared jpg image in a cover jpg image.
Composite Wear Actions of Glass Fiber Reinforced Titanates Filled Epoxy Resin
Authors:   Assistant Professor, Department of Mechanical Engineeering,, Hindusthan Instituite of Technology, Coimbatore, Tamil Nadu, India., Sundaramoorthy R. , Hillary J.Justin Maria ,   Assistant Professor, Department of Mechanical Engineeering,, Hindusthan Instituite of Technology, Coim batore, Tamil Nadu, India., Balayanan S.R.Raja ,   Professor, Department of Mechanical Engineeering,, Hindusthan Instituite of Technology, Coimbatore, Tamil Nadu, India., Kalidas K. ,   Assistant Professor, Department of Mechanical Engineeering,, Hindusthan Instituite of Technology,Coimbatore, Tamil Nadu, India., Rangarajan R.V. ,   Assistant Professor, Department of Mechanical Engineeering,, Hindusthan Instituite of Technology, Coimbatore, Tamil Nadu, India.
Published: October 2020

Glass fibre-reinforced polymer composites find numerous applications in today ‘s aggressive world because of their different benefits such as high wear resistance, strength to weight ratio and low cost. Particle fillers can be further enhanced with the added composite efficiency. Titanates are successfully used as polymer filler to achieve this. A number of these short-glass epoxy composites and the study of their wear behavior are included in current work. They are manufactured and characterized. It also outlines a technique for parametric analysis of the sliding wear behavior, based on Taguchi’s test-design approach.
Design and Simulation of millimeter wave Mylar based flexible Antenna for 5G wireless Applications
Authors:   Department of TCE R V College of Engineering Engineering Bengaluru, India., Ankita C , A Supriya ,   Department of TCE R V College of Engineering Engineering Bengaluru, India., R Dr. Bhagya ,   Department of TCE R V College of Engineering Engineering Bengaluru, India.
Published: October 2020

The millimeter wave (mm-wave) is expected to play a crucial role in providing broad frequency bandwidth for large data transmission. The restrictions of wave propagation are anticipated to get eliminated in mm-wave propagation through the assistance of antenna technologies. The higher frequency spectrum prevalence of the 5G applications are likely to be dependent on a small advanced antenna technology. This paper presents an antenna design which uses Mylar as substrate for the 5G wireless applications. The structure of the antenna adopted here is of a T-shaped patch designed with ideal symmetrical slot structures. To increase the bandwidth the idea of defective ground structure (DGS) is used. The antenna model discussed here shows a high impedance bandwidth and a fair radiation pattern in the required direction with a maximum gain of 8.35dB at 28 GHz frequency. The proposed antenna is compared with the basic microstrip patch antenna which is designed at low frequency to prove that the bandwidth is enhanced and so other parameters in the proposed antenna such that it is suitable for mm-wave 5G wireless applications.
Implementation of Correlation and Regression Models for Health Insurance Fraud in Covid-19 Environment using Actuarial and Data Science Techniques
Authors:   Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India., Gupta Rohan Yashraj , Mudigonda Satya Sai ,   Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India., Baruah Pallav Kumar ,   Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India., Kandala Phani Krishna ,   Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India.
Published: October 2020

Fraud acts as a major deterrent to a company’s growth if uncontrolled. It challenges the fundamental value of “Trust” in the Insurance business. COVID-19 brought additional challenges of increased potential fraud to health insurance business. This work describes implementation of existing and enhanced fraud detection methods in the pre-COVID-19 and COVID-19 environments. For this purpose, we have developed an innovative enhanced fraud detection framework using actuarial and data science techniques. Triggers specific to COVID-19 are identified in addition to the existing triggers. We have also explored the relationship between insurance fraud and COVID-19. To determine this we calculated Pearson correlation coefficient and fitted logarithmic regression model between fraud in health insurance and COVID-19 cases. This work uses two datasets: health insurance dataset and Kaggle dataset on COVID-19 cases for the same select geographical location in India. Our experimental results shows Pearson correlation coefficient of 0.86, which implies that the month on month rate of fraudulent cases is highly correlated with month on month rate of COVID-19 cases. The logarithmic regression performed on the data gave the r-squared value of 0.91 which indicates that the model is a good fit. This work aims to provide much needed tools and techniques for health insurance business to counter the fraud.
On Training Targets for Deep Learning Approaches to Clean Speech Magnitude Spectrum Estimation
Authors: Nicolson Aaron , Paliwal Kuldip K.
Published: September 2020

Estimation of the clean speech short-time magnitude spectrum (MS) is key for speech enhancement and separation. Moreover, an automatic speech recognition (ASR) system that employs a front-end relies on clean speech MS estimation to remain robust. Training targets for deep learning approaches to clean speech MS estimation fall into three categories: computational auditory scene analysis (CASA), MS, and minimum mean-square error (MMSE) estimator training targets. The choice of training target can have a significant impact on speech enhancement/separation and robust ASR performance. Motivated by this, we find which training target produces enhanced/separated speech at the highest quality and intelligibility, and which is best for an ASR front-end. Three different deep neural network (DNN) types and two datasets that include real-world non-stationary and coloured noise sources at multiple SNR levels were used for evaluation. Ten objective measures were employed, including the word error rate (WER) of the Deep Speech ASR system. We find that training targets that estimate the a priori signal-to-noise ratio (SNR) for MMSE estimators produce the highest objective quality scores. Moreover, we find that the gain of MMSE estimators and the ideal amplitude mask (IAM) produce the highest objective intelligibility scores and are most suitable for an ASR front-end.