bluuebunny/crossref_metadata_2025 huggingface dataset:
Friedrich Lóránd építész (1891–1947)
Authors: Marótzy Katalin
Published: September 2020

Tanszékünk, a Budapesti Műszaki és Gazdaságtudományi Egyetem Építészmérnöki Karának Építészettörténeti és Műemléki Tanszéke idén – 2020-ban – ünnepli alapításának 150. évfordulóját. A legendás professzortársak – mint Wälder Gyula, Hültl Dezső, Kotsis Iván, Sándy Gyula, … – mellett kevesebb figyelmet kapott az eddigi kutatásokban a csendesebb személyiségű Friedrich Lóránd, aki 1942-től az Újkor tanszék professzora, az 1946/47-es tanévben a Mérnöki és Építészmérnöki Kar dékánja volt. Életművének teljes körű feltárása még a kutatás további feladata, életrajzának és munkásságának vázlatos összefoglalására teszünk most kísérletet elsősorban sajtókutatás alapján.

Summary. Our department (the Department of History of Architecture and Monument Preservation, Faculty of Architecture, Budapest University of Technology and Economics) celebrates its 150th anniversary this year. Beside the legendary professors like Gyula Wälder, Dezső Hültl, Iván Kotsis, Gyula Sándy, etc., Lóránd Friedrich has not been in the focus of research. He was the professor of the Renaissance and Baroque Department from 1942 and was the dean of the Faculty in the school year 1946/47. The complete cognizance of his oeuvre is the objective of further research. We make an attempt to give a sketchy summary of his biography and life-work based primarily on press analysis.
Az eucharisztia tiszteletének szimbolikus-építészeti formái.
Authors: Veress Ferenc
Published: September 2020

Tanulmányomban a templomhomlokzat és az oltárépítmény felépítésének, tagoló rendszerének párhuzamaira kívántam felhívni a figyelmet. Mind a homlokzatoknak, mind az oltárarchitektúráknak a tervezői építészek voltak, így természetes, hogy hasonló motívumokat használtak fel mind a két esetben. A tridenti zsinat utáni katolikus megújulás fontos szereplője, Borromei Szent Károly, új tabernákulumformát és tértípust hozott létre a lombard építész, Pellegrino Tibaldi közreműködésével. Pellegrinónak kulcsszerepe volt a jezsuita templomtípus megteremtésében, tervei nyomán nem csupán Milánóban, hanem Torinóban is épült templom; hatása kimutatható a bécsi domonkos templom homlokzatán is, amelynek építésze, a bissonei Giovanni Giacomo Tencalla családjának több tagja révén közvetíthette Magyarországra az itáliai hatást. Az építészek, mint például a bécsi Kirche am Hof tervezője, a luganói Filiberto Lucchese, maguk is terveztek oltárokat, vagy közreműködtek a stukkátorokkal, akik gyakran ugyanabból a régióból érkeztek, mint a tervező építész. Így fordulhatott elő, hogy a nyugat-dunántúli stukkóoltárokat általában észak-itáliai mesterek készítették a templomhomlokzatok nyomán.

Summary. This study proposes to re-examine the dynamic interaction between the frontispiece of the church and the high altar. While the façade often functions as an open-air altarpiece, the altar itself is a “gate of Paradise.” Both the frontispieces and the altar structures were designed by architects, consequently, they use similar motives. Carlo Borromeo, as a key-figure of post-tridentine church reformed the sacred space and the tabernacle of the Cathedral in Milan following the designs of Pellegrino Tibaldi. Pellegrino played an eminent role in creating a new Jesuit church-type in San Fedele, Milan, which served as a model for the Corpus Christi basilica in Torino as well as for the Santa Maria Dominican Church in Vienna. The latter one was planned by Giovanni Giacomo Tencalla from Bissone (Lugano), and from the same family stemmed well-known stuccators and painters, who also worked for Hungarian commissioners. The architect of the Jesuit church Kirche am Hof in Vienna, Filiberto Lucchese, also worked for the Batthyány family, and designed altarpieces. In this way, we are able to establish a strong interaction between the altar-structure and façade, bringing considerable novelty in analysing architectural forms and design.
Fiscal policy and growth in a small emerging economy: The case of Bulgaria
Authors: Stoilova Desislava , Patonov Nikolay
Published: September 2020

The purpose of this article is to study the impact of fiscal policy on economic growth in Bulgaria for the period 1995–2018. The descriptive analysis is focused on the general trends in fiscal policy and tax structure. The influence of government spending and taxation on economic growth is studied through regressions on time-series data. The empirical estimates prove that taxation is a more reliable instrument of fiscal policy than government spending in terms of a small open emerging-market economy. The dilution of the effect of public spending is probably caused by the high negative values of the current account balance that have been maintained for long periods. Thus, when domestic supply is weak, government expenditure cannot stimulate domestic production, as supply is dominated by import goods. Public investments demonstrate a negative effect on economic growth, which suggests a low productivity of investment spending. A factor of great importance is the level of corruption, which is strongly correlated with government investments, but is harmful to their efficiency. The Bulgarian tax system demonstrates consistency with economic growth. The receipts from value-added tax seems growth-conductive. The decrease of the corporate income tax rate exerts a positive impact on economc performance during the analyzed period, while personal income taxation demonstrates a negative effect. Property taxation has no significant relation with the growth of the Bulgarian economy.
Taxation and growth: Why does it matter and how can it be analysed?
Authors: Barrios Salvador
Published: September 2020

The growth impact of tax reforms is probably one of the most controversial issues in economic policy discussions, reflecting deep beliefs in the way economic agents are expected to react to policy changes. The optimal tax theory literature provides a wide array of arguments to identify the mechanisms through which tax reforms might influence growth, depending on the tax category considered and the circumstances under which tax reforms are implemented. The empirical literature has relied on the use of cross-country growth regressions and provided general results leading to normative conclusions on the desirability of specific tax reform options. However, recent research has shown that this approach yields inconclusive results, notably due to identification and endogeneity issues, and the difficulty to account for the true determinants of governments' actions. The dynamic scoring approach combining microsimulation and macro models proves more useful in this respect, especially in order to draw policy recommendations while accounting for the second-round effects of tax reforms. I illustrate these arguments by analysing the growth impact of a hypothetical change from the current flat personal income tax (PIT) rates to progressive taxes in Central and Eastern European (CEE) countries. I find that the estimated impact of such a reform would be rather small but positive when using the dynamic scoring method, while the less-reliable traditional growth regressions would suggest adverse growth effects.
Historians Respond to Whitehouse et al. (2019), “Complex Societies Precede Moralizing Gods Throughout World History”
Authors: Slingerland Edward , Monroe M. Willis , Sullivan Brenton , Walsh Robyn Faith , Veidlinger Daniel , Noseworthy William , Herriott Conn , Raffield Ben , Peterson Janine Larmon , Rodríguez Gretel , Sonik Karen , Green William , Tappenden Frederick S. , Ashtari Amir , Muthukrishna Michael , Spicer Rachel
Published: September 2020

As historians, archaeologists, and database analysts affiliated with the Database of Religious History (DRH; religiondatabase.org), we share with the Seshat: Global History Databank team, authors of a recent study published in Nature, an excitement about the potential for deep and sustained collaborations between historians and analysts to answer big questions about human history. We have serious concerns, however, by the approach to the quantitative coding of historical data taken by the Seshat team, as revealed in the backing data (seshatdatabank.info/nature), as well as by a lack of clarity concerning the degree of involvement of expert historians in the coding process. The apparent lack of appreciation for historical scholarship that this coding strategy displays runs the risk of permanently alienating the community of academic historians, who are essential future collaborators in any project devoted to large-scale historical data analysis. In the present commentary, we present a preliminary critical review of their latest article, “Complex Societies Precede Moralizing Gods Throughout World History” (2019).
Horror Studies between Humanistic Interdisciplinarity and Scientific Consilience
Authors: Ambasciano Leonardo , Clasen Mathias , Jones Darryl
Published: September 2020

The present thought-provoking conversation engages two accomplished scholars of horror, Darryl Jones and Mathias Clasen, on the multimedia history of horror through their disciplinary viewpoints, respectively, literary studies and the cognitive sciences. Following the publication of their most recent books on the topic (Jones 2018; Clasen 2017), the main theme discussed herein is the possibility of creating an interdisciplinary bridge, and, possibly, developing a cross-disciplinary integration between different scholarly strategies. Other themes considered include: consilience and coexistence between humanistic and scientific approaches; potential intradisciplinary issues around the establishment of an interdisciplinary dialogue; the differential heuristic gains of qualitative analyses through different disciplinary toolboxes; the existence of a bewildering historical array of theories explaining the appeal of horror as a genre and a collection of tropes; the thematic interconnection between horror and religion. The conversation also includes a series of artistic and scholarly suggestions to further explore the topics debated.
Big Data, Cognitive Biases, Horror Tropes, and Think Tanks
Authors: Ambasciano Leonardo , Roubekas Nickolas P.
Published: September 2020

The present introduction is designed to offer a quick walkthrough of the various scholars’ contributions to the present issue of the Journal of Cognitive Historiography. Among the articles included, two are related to our Extended Open Call for Papers on the topic of “Toxic Traditions: Pathological and Maladaptive Beliefs, Biases, and Behaviours throughout Human History”, i.e., an analysis of the maladaptiveness of theistic beliefs in the Anthropocene and a neuroanthropological examination of the ancient cult of Cybele and Attis. Other articles cover the presence of religious-based cognitive biases and logical fallacies in Scottish philosopher Thomas Reid’s works and the neurocognition of the Stoic silent prayer as recorded by Roman philosopher Seneca. An entire section is dedicated to the critical discussion of both method and theory of Seshat: Global History Databank. The issue also includes a thought-provoking and interdisciplinary conversation on horror studies, a précis, a commentary, and four cutting-edge book reviews. The background to the topic of the call for papers is herein available as an appendix.
Outdoor Transmission of Malaria
Authors: Matthews G. A.
Published: September 2020

Recent assessments of controlling the vectors of malaria have shown that due to reliance of treatments inside houses, malaria transmission is still occurring as people are more active outdoors during the evening after sunset. During several visits to Cameroon, it was noticeable that,
at least in the towns, there was considerable activity outdoors after sunset as people preferred to go shopping or socialise with friends when it was cooler. However, as in other countries in Africa, the emphasis has been put on the distribution of insecticide treated bednets while indoor
residual spraying (IRS) has also been used. A pilot study in six villages in a malaria-endemic area examined different mosquito control interventions applied to entire villages to assess their impact on vectors, malaria incidence and the quality of life of the communities. One of the villages
was left untreated during the year of the trial. One of the other villages which had been treated with IRS and bednets treated with ICON CS (lambda-cyhalothrin capsule suspension formulation) or another that had improved screening of houses combined with outdoor misting showed reduced numbers
of mosquitoes collected from exit traps compared to the other treatments. More malaria sporozoites were detected in mosquitoes sampled in exit traps in the untreated village than in the treated villages. Malaria incidence several months after both IRS/ITN and screening/misting treatments was
not significantly different from pre-treatment levels. In retrospect, the village with house improvement and outdoor misting was almost as effective as using both treated bed nets and IRS inside houses, indicating important transmission outdoors. A subsequent study showed that, as expected,
the treated bed nets were of greater importance in protecting young children remaining under the nets throughout the night than adults.
Wild Wild West: Emerging Viruses and Viroids of Hemp
Authors: Nachappa Punya , Fulladolsa Ana Cristina , Stenglein Mark
Published: September 2020

Hemp (Cannabis sativa) or industrial hemp is a rapidly growing industry in the United States. However, the crop has been poorly studied in the US since its production declined in the late 1950s, and information on the biological and agricultural factors affecting hemp is limited.
With the passage of the 2014 Farm Bill, hemp is no longer considered an illegal plant and is now a legal agricultural crop in the US. Within the bill, Section 7606 (Legitimacy of Industrial Hemp Research) provided a formal definition of the crop as "the plant Cannabis sativa L. and
any part of such plant, whether growing or not, with a delta-9-tetrahydrocannabinol (THC) concentration of not more than 0.3 percent on a dry weight basis". In addition, the 2018 Farm Bill addressed many issues that had previously impeded development of the crop. Currently, 46 US states have
enacted laws removing barriers to its production. In 2019, hemp production was 206, 965 hectares with 16,877 grower licenses across 34 states, according to "US Hemp Report" (www.votehemp.com). This is a greater than 455% increase over 2018 licensed acreage. Colorado, the leading state in hemp
production increased production from 4,873 licensed hectares (346 growers) in 2017 to 12,525 licensed hectares (835 growers) in 2018. The US retail sales of hemp products was reported at $1.2 billion in 2018. The most profitable market for North American hemp is oilseed production and
cannabidiol (CBD), a nonintoxicant cannabinoid with promising therapeutic use as a pharmaceutical product. Current CBD sales are estimated at $190 million and are projected to reach $2.5 billion by 2022. As we enter this new era of hemp production, plant diseases associated with
the crop in the US and associated disease management needs are essentially undescribed. The emergence of phytopathogens and their spread is a rising concern as hemp production increases. Therefore, there is an urgent need to identify emerging and established hemp viruses and viroids, elucidate
their diversity and distribution, develop early pathogen detection tools, and provide hemp growers, industry and other stakeholders information and resources to make timely management decision and minimize crop loss.
Essential Tea Tree Oil As a Tool to Combat Black Sigatoka in Banana
Authors: Reuveni Moshe , Barbier Marcel , Viti Agnelo J.
Published: September 2020

Black Sigatoka disease, caused by Mycosphaerella fijiensis, is considered the most damaging and costly disease of commercial banana and plantain and is mainly controlled by intensive sprays of synthetic fungicides. Essential tea tree oil derived from Melaleuca alternifolia
plant was found to be effective against a wide range of plant pathogenic fungi including black Sigatoka in conventional production systems and was as effective as synthetic fungicides such as tridemorph, difenoconazole, trifloxystrobin and azoxystrobin. This paper provides evidence that tea
tree oil offers an attractive alternative for controlling black Sigatoka in banana plantations.
Quarantine Protocol Against Coleopteran Borers in Date Palm Offshoots Using Eco2 Fume Gas
Authors: El-Shafie H.A. , Mohammed M.E. , Sallam A.A.
Published: September 2020

Date palm offshoots represent an important source of planting material in many date palm-growing countries around the world. Infestation by the red palm weevil ((RPW) Rhynchophorus ferrugineus), the longhorn beetle ((LHB) Jebusaea hammerschmidti) and the rhinoceros beetle
((OB) Oryctes spp.) hinders commercialization and movement of these offshoots. An effective quarantine protocol, with exposure period of 72 h at 25 °C using ECO2FUME (EF) with phosphine concentration of 1500 ppm has been developed for date palm offshoots against these coleopteran
internal tissue borers.
ESTUDO EPIDEMIOLÓGICO, GEOGRÁFICO E MULTIVARIADO DOS CASOS DE SUICÍDIO NO RIO GRANDE DO SUL, BRASIL, ENTRE 2017 E 2019
Authors: Franck Maria Cristina , Pereira Limberger Renata
Published: September 2020

O suicídio é um grave problema de saúde pública no estado do Rio Grande do Sul e esse trabalho objetivou determinar o perfil epidemiológico e geográfico, incluindo correlações entre as variáveis relacionadas às vítimas de 2017 a 2019. A partir dos registros periciais, foram consultados os boletins de ocorrência gerando um estudo descritivo e transversal, com análises de correspondência múltipla e modelos de regressão logística (α=0,05). Foram registrados 4.017 suicídios (11,8 casos/100 mil habitantes/ano), em sua maioria, do sexo masculino (79,8%) e da raça branca (90,5%). Os idosos (60 anos ou mais) apresentaram a maior taxa, 26,2/100 mil habitantes/ano. O período da noite mostrou-se associado aos adolescentes, ao uso de arma de fogo e às vítimas com histórico policial positivo. Os dias úteis associaram-se aos idosos, às vítimas com ausência parental no registro de nascimento e ao período da manhã. Ter histórico policial positivo associou-se ao sexo masculino, à faixa etária adulta, à ausência parental e ao período da noite. As regiões Vale do Rio Pardo, Médio Alto Uruguai e Fronteira Noroeste apresentaram as maiores taxas do estado (21,6, 19,5 e 17,7/100 mil habitantes/ano, respectivamente). A causa atribuída com mais frequência foi a depressão (26,3%) e o meio mais empregado pelas vítimas foi o enforcamento (73,0%). O trabalho pericial pode auxiliar os serviços de saúde na compreensão e enfrentamento desse fenômeno com dados locais, atuais e importantes correlações, estimulando novos estudos e medidas preventivas onde há maior incidência e direcionados à população mais vulnerável.
Assessment of the Impact of the Level of Disclosure of Mandatory Non-Financial Information in Public Annual Reports on the Investment Attractiveness of a Company
Authors: Fedorova Elena , Grishchenko Yulia , Demin Igor , Chernova Elena
Published: September 2020

In this study, we assess the influence of information disclosed by issuers in annual reports in accordance with therequirements of the Central Bank of Russia on the investment attractiveness of a company.The empirical base of the research consists of annual reports of 60 Russian issuers from various industries over 10 years.On the basis of applicable regulations of the Bank of Russia we compiled an author’s dictionary of terms (word forms).Using the methods of taking into consideration grammatical forms we calculated occurrences of the dictionary termsin the texts of annual reports. This study represents the first time that a rating of issuers on the basis of the disclosureindex of mandatory non-financial information (INDEX) in accordance with the Russian legislation was made. By meansof a probit regression we proved the interrelation between the disclosure index of mandatory non-financial information(INDEX) and the issuer’s investment attractiveness. Additionally, by means of a panel regression we established theinterrelation between the issuer’s investment attractiveness and the level of information disclosure which characterisesthe issuer, its securities and dividend policy, and its risk management policy.
Improving Loan Loss Provisioning Framework as a Driver of Economic Growth
Authors: Stepanova Svetlana , Karakchieva Viktoria
Published: September 2020

Various aspects of credit risk have been studied by many researchers. Scientists and practitioners consider different credit risk assessment methods depending on its application, e.g. to determine capital adequacy, to make loss loan provisions, or to estimate its influence on the interest rate. At the same time, there are almost no studies that consider the relationship between loan loss provisioning framework and loan decisions. The study seeks to 1) understand how the practices and procedures of loan loss provisioning impact total gross loans of Russian banks, and 2) identify constraints for insufficient levels of lending and factors that can foster lending.With the use of an econometric model we estimate a quantitative effect of credit portfolio on the growth of loan loss provisions. We base our model on data derived from financial statements of 400 Russian credit institutions between 2014 and 2019. In addition to our empirical model, we analyze statistical data on the development of the Russian banking system and compare the loan loss provisions in Russian and foreign financial organizations. The estimates are based on Russian official statistics and financial statements of banks within and outside Russia. The study reveals that the existing credit risk assessment method that rests on the regulations provided by the Bank of Russia is responsible for excessive loan loss provisions accumulated by Russian banks. This, in turn, affects the volumes of bank loans.In our research we have arrived at the conclusion that the existing loan loss provisioning is excessive. Current loan loss provisions do not correspond to real lending losses. They negatively affect the financial results of credit institutions, resulting in ungrounded refusals to lend, which in turn limits economic growth. These results support the rationale for reinventing the existing framework of loan loss provisioning.
Green Bonds vs Regular Bonds: Debt Level and Corporate Performance
Authors: Agliardi Elettra , Chechulin Vitalii
Published: September 2020

This paper compares the effectiveness of traditional and green bonds for corporate performance among globalcompanies which issue these types of bonds. Our research represents a first attempt to provide an original empiricalcontribution with a specific focus on the influence of green debt levels on corporate performance. We develop aframework for the analysis of the influence of the debt level on corporate performance, and also compare the influence ofvarious types of bonds issuance on several indicators of corporate performance.Our data refer to 118 companies from various industries and countries, including 17 companies issuing green bonds inthe period from 2013 to 2017. We study the impact of debt levels on some standard corporate performance indicators,such as ROA, ROE, Revenue/Assets, EBITDA/Assets and EBIT/Assets.Our results show that bond issuance has a positive effect on corporate performance. In particular, the relationshipbetween debt levels and corporate performance is described in a non-linear way (an inverse U-shape), i.e., as debt levelincreases, the firm’s corporate performance grows, but only up to a certain point where the largest positive effect isachieved. Moreover, we find that the issuance of green bonds has a larger positive impact on corporate efficiency thantraditional bonds and the growth in the share of green financing in the total company’s debt has a positive impact oncorporate performance.This study opens up avenues for further research in the field, and combining our approach to evaluating the effect ofgreen bonds on corporate performance with an examination of companies arranged according to their life cycle stagewould be intriguing. However, at the present stage of development of the green bonds market it is impossible to studytheir influence on corporate performance as the research selection is rather small, and this market has emerged ratherrecently.
LifeTest SARS-COV2 ELISA ANTIGEN TEST v1
Authors: Sergio Pulido not provided , Alvarez Bryce , Park Suhyun , Berrio Mario , F Flórez Maria
Published: September 2020

Sandwich ELISA kit that qualitatively detects SARS-CoV-2 antigens in clinical samples. It consists of a 96-well ELISA plate pretreated with a specific anti-SARS-CoV-2 capture antibody. Once the samples have been added, a secondary detection antibody conjugated with HRP (Horseradish Peroxidase) is used. Both antibodies recognize different epitopes of the antigen within the S1 protein. After the formation of an "antibody-antigen-conjugated antibody" complex and the addition of a substrate solution, samples containing SARS-CoV-2 antigens appear yellow. The optical density is determined by spectrophotometry at a wavelength of 450 ± 2 nm.
LooK SPOT Antigen Rapid Test System v1
Authors: Lai Diego
Published: September 2020

LooK SPOT COVID-19 antigen rapid test uses a smartphone-based LooK SPOT reader, antigen cassette, and LocationNow AI Cloud to qualitatively detect the SARS-CoV-2 Nucleocapsid protein antigen within 5 minutes. The reagent is used to detect the SARS-CoV-2 nucleocapsid protein antigen, which is usually present in the upper respiratory tract sample in the acute phase of infection. When a positive result is presented, it means that there are viral antigens in the sample. The LooK SPOT system consists of 5 key components: LooK SPOT reader LooK SPOT app LooK COVID-19 antigen cassette LooK PASS app LocationNow AI Cloud To start the test, the patient has to download and register the LooK PASS app from the app stores. The patient scans the QR code of the LooK COVID-19 antigen cassette with the LooK PASS app, and the information is uploaded to the LocationNow AI Cloud for the registration of the test. Then place the nasopharyngeal swab with the sample of the patient into the Extraction Buffer Tube. Stir the nasopharyngeal swab in the Extraction Buffer Tube and wait for one (1) minute. The virus particles in the sample are disrupted and exposing the internal viral nucleoproteins. Use the liquid dropper to extract the liquid inside the tube and apply three drops in the sample window of the antigen cassette. Insert the antigen cassette into LooK SPOT reader attached to a smartphone by using the camera of the smartphone to take pictures from the sample. LooK SPOT reader detects the ID of the LooK antigen cassette and sends these images of the sample reading to LocationNow AI cloud for analysis. LocationNow AI cloud analyzes the images of the fluorescent signal of the sample by using proprietary AI algorithms and returns results of Positive, Negative, or Invalid to the LooK SPOT reader within 5 minutes. The same result is also sent to the patient's smartphone's LooK PASS app. This test procedure is secured with full privacy. LocationNow AI algorithms have reduced the false-negative cases caused by human visual check errors. LooK COVID-19 antigen rapid test is designed for use at the Point of Entry for the revival of the economy.
A flexible robotic cell for in-process inspection of multi-pass welds
Authors: Lines D I , Javadi Y , Mohseni E , Vasilev M , MacLeod C N , Mineo C , Vithanage R W , Qiu Z , Zimermann R , Loukas C , Foster E , Pierce S G , Gachagan A
Published: September 2020

Welds are currently only inspected after all the passes are complete and after allowing sufficient time for any hydrogen cracking to develop, typically over several days. Any defects introduced between passes are therefore unreported until fully buried, greatly complicating rework and
also delaying early corrections to the weld process parameters. In-process inspection can provide early intervention but involves many challenges, including operation at high temperatures with significant gradients affecting acoustic velocities and, hence, beam directions. Reflections from
the incomplete parts of the weld would also be flagged as lack-of-fusion defects, requiring the region of interest (ROI) to adapt as the weld is built up. The collaborative SIMPLE (SIngle Manufacturing PLatform Environment) project addresses these challenges by incorporating robotic inspection
within a robotic tungsten inert gas (TIG) welding cell. This has been accomplished initially with commercial off-the-shelf ultrasonic phased arrays, but is flexible enough to adapt to future developments with solutions suitable for higher temperatures. The welding and inspection robots operate
autonomously. The former can introduce deliberate defects to validate the latter, which uses 5 MHz 64-element phased arrays on high-temperature wedges to generate sector scans after each weld pass. The results are presented, confirming that the challenges have been addressed and demonstrating
the feasibility of this approach.
Research on a damage identification method of harmonic magnetic field detection in steel pipes with cladding
Authors: Wang Xinhua , Gu Yaping , Chen Yingchun , Ullah Zia , Zhao Yizhen
Published: September 2020

This paper presents a harmonic magnetic field detection technology for damage identification of an in-service coated steel pipeline. Based on the principles of electromagnetic theory and magnetic field detection combined with magnetic focusing technology, an array consisting of a focusing
detection probe and a harmonic magnetic field detection system were designed. However, the acquired detection signal includes an excitation signal in addition to the defect information. In order to make the defect information more obvious, the excitation signal needs to be removed to extract
the defect feature. Local mean decomposition (LMD) is a new time-frequency analysis method that adaptively decomposes a signal into a set of product function (PF) combinations. The envelope of the PF is the instantaneous amplitude and the instantaneous frequency can be calculated by demodulating
the derivative of the phase with a uniform amplitude-modulated signal. This method completely bypasses the Hilbert transform. Therefore, it does not involve the problem of negative frequencies without physical meaning. The effectiveness of LMD is demonstrated by a successful example of damage
detection. Combining the data characteristics obtained by the experiment, the data processing algorithm suitable for the test data is written by improving the LMD. The algorithm is easy to use and has high engineering practicability.
Multi-loop magnetisation method for detecting coal mine wire rope defects
Authors: Hongyao Wang , Jie Tian , Guoying Meng , Junying Zhou , Gang Hua
Published: September 2020

Existing methods for detecting magnetic leakage signals from damaged wire ropes require axial saturation magnetisation and the accuracy of the detection equipment depends on the degree of saturation of the magnetisation. Moreover, owing to the special characteristics of the structure,
diameter and operating environment of the wire rope, it is difficult to achieve the expected magnetisation effect. Consequently, in addition to other issues, the detection accuracy and versatility of the equipment are low. This study proposes a method based on spatial multi-dimensional orthogonal
array loop magnetisation to detect coal mine wire rope defects. First, a sensor excitation structure model is developed. Then, a method for detecting the radial magnetic flux using permanent magnet arrays is analysed and the influence of the number of permanent magnet radial magnetic blocks
on the magnetisation effect is studied. In addition, a wire rope detection method based on the principle of clustering is investigated and used to discuss the influence of the shape, structure and size of the sensor on the magnetisation effect. Finally, through laboratory experiments, the
applicability of the test model and the proposed method are verified. The results show that the magnetisation effect is better and more cost-effective when the number of permanent magnet radial magnetic blocks is eight and that the proposed detection method can effectively identify damaged
wire rope joints. Furthermore, the proposed equipment achieves a signal-tonoise ratio of 28 dB, thereby improving the reliability of damage detection.
Research on pipeline internal stress detection technology based on the Barkhausen effect
Authors: Ma YiLai , Chen JinZhong , He RenBi , Meng Tao , He RenYang
Published: September 2020

Focusing on the requirements of pipeline in-line testing for stress concentration, mechanical scratches and corrosion discrimination, a numerical calculation and experimental verification study of the internal testing excitation of oil and gas pipelines based on the Barkhausen effect
(magnetic Barkhausen noise (MBN)) is carried out. This paper uses finite element calculation to determine the optimal position of the sensor, quantitatively analyses the influence of parameters, such as the excitation structure size and excitation intensity, on the magnetisation field of the
pipeline and obtains the optimal exciting parameters for acquiring continuous Barkhausen signals, which can provide references for designing the pipeline in-line inspection gauge for stress concentration. The feasibility of the continuous Barkhausen noise (CBN) method for long-distance pipeline
stress detection is verified by simulating the operating conditions of the internal detector in the pipeline using dynamic rotating excitation.
Characterisation of backwall crack depth using the pulsed potential drop method
Authors: Li Wenyang , Zhao Shiping , Gan Fangji
Published: September 2020

The alternating current potential drop (ACPD) technique has been used for monitoring backwall cracks in electrical conductors. However, previous systems required too much labour when ACPD measurements were made over a large frequency range (1 Hz-10 kHz). In this paper, a pulsed potential
drop (PPD) method is found to be superior, not only in efficiency and stability but also in accurate crack detection. The detected signal excited by the pulsed current appears to be more sensitive to depth variations and, therefore, can be used for estimating crack depth in PPD testing. Experiments
have been performed on AISI 1045 plates with machined cracks; the results obtained from these tests show the feasibility of crack monitoring using the PPD method.
Determination of Plant Parasitic Nematode Species of Tylenchida (Nematoda) in Apple (Pyrus malus L.) and Walnut (Juglans regia L.) Orchards in Bingöl Province of Turkey
Authors: KARAKAŞ Uygar Serkan , PEÇEN Aydın , KEPENEKÇİ İlker , ÇETİNTAŞ Ramazan
Published: September 2020

Plant parasitic nematodes (PPNs) are the leading source of damage to crops in agricultural production and they can cause very serious yield reductions. The Tylenchida (Nematoda) constitutes the most important group of PPNs due to containing a large number of economically important plant parasitic species. This study was conducted in apple (Pyrus malus L.) and walnut (Juglans regia L.) orchards in Bingöl (Turkey) between 2016 and 2017. For this purpose, total of 52 soil/root samples were taken from 20-40 cm depth of related areas during summer months. In laboratory, active PPNs were extracted from soil and roots parts by modified Baermann Funnel method. Obtained nematodes were killed at 60°C, fixed in TAF in mounted slides. PPNs belonging to Tylenchida were identified morphometrically and morphologically under the light microscope. As result of the study; eighteen PPN species were determined and classified under the Tylenchida order as three suborders, three superfamilies, four families and seven genera in the apple and walnut growing areas. The most encountered PPN species in this study were Filenchus filiformis, Helicotylenchus canadiensis, H. digonicus, H. vulgaris, Pratylenchoides alkani and Psilenchus hilarulus. All species were determined for the first time in the nematoda fauna of Bingöl province in apple and walnut orchards.
Adana Ili Balcalı Yöresinde Farklı Turunçgil Çeşitlerinde Thrips (Thysanoptera) Türlerinin Saptanması
Authors: ATAKAN Ekrem , PEHLİVAN Serkan
Published: September 2020

Bu çalışmada, Adana ilinde Balcalı yöresinde farklı turunçgil çeşitlerinde Thysanoptera (thrips) türleri ve ayrıca en yaygın üç thrips türünün; Batı çiçek thripsi, Frankliniella occidentalis (Pergande), Hawaii çiçek thripsi, Thrips hawaiiensis (Morgan) ve soğan veya pamuk thripsi, Thrips tabaci Lindeman’ın 2017 ve 2018 yıllarında popülasyon değişimleri incelenmiştir. Bu çalışmayla toplam 13 Thysanoptera türü saptanmıştır. Ana thrips türü olarak F. occidentalis bulunmuş olup, bunu ikinci sırada ülkemize 2015 yılında giren ve hızlı bir şekilde yayılan T. hawaiiensis izlemiştir. Frankliniella occidentalis ve T. tabaci esas olarak çiçeklenme döneminde toplanırken, T. hawaiiensis mayıs ayı sonunda meyve dönemindeki ağaçlarda çok az sayıda bulunan çiçeklerde kaydedilmiştir. Ayrıca, T. hawaiiensis, 2018 yılında çiçeklenmenin nispeten daha yüksek olduğu Kütdiken ve Euroka limon çeşitlerinde daha yüksek sayıda saptanmıştır. Frankliniella occidentalis çiçeklenmenin daha yüksek olduğu Washington portakalında ve Meyer limonunda önemli ve yüksek sayıda kaydedilmiştir (P
Goodness of Fit Tests for Marshal-Olkin Extended Rayleigh Distribution
Authors: Saud Naz , Chand Sohail
Published: September 2020

A class of goodness of fit tests for Marshal-Olkin Extended Rayleigh distribution with estimated parameters is proposed. The tests are based on the empirical distribution function. For determination of asymptotic percentage points, Kolomogorov-Sminrov, Cramer-von-Mises, Anderson-Darling,Watson, and Liao-Shimokawa test statistic are used. This article uses Monte Carlo simulations to obtain asymptotic percentage points for Marshal-Olkin extended Rayleigh distribution. Moreover, power of the goodness of fit test statistics is investigated for this lifetime model against several alternatives.
A General Class of Dual to Ratio Estimator
Authors: Singh Housila Prasad , Nigam Pragati
Published: September 2020

In this paper we have considered the problem of estimating the population mean using auxiliary information in sample surveys. A class of dual to ratio estimators has been defined. Exact expressions for bias and mean squared error of the suggested class of dual to ratio estimator have been obtained. In particular, properties of some members of the proposed class of dual to ratio estimators have been discussed. It has been shown that the proposed class of estimators is more efficient than the sample mean, ratio estimator, dual to ratio estimator and some members of the suggested class of estimators in some realistic conditions. Some numerical illustrations are given in support of the present study.
The Flexible Weibull Extension-Burr XII Distribution: Model, Properties and Applications
Authors: Kamal Rania M. , Ismail Moshira A.
Published: September 2020

This paper is devoted to study a new four- parameter additive model. The newly suggested model is referred to as the flexible Weibull extension-Burr XII distribution. It is derived by considering a serial system with one component following a flexible Weibull extension distribution and another following a Burr XII distribution. The usefulness of the model stems from the flexibility of its failure rate which accommodates bathtub and modified bathtub among other risk patterns. These two patterns have been widely accepted in several fields, especially reliability and engineering fields. In addition, the importance of the new distribution is that it includes new sub-models which are not known in the literature. Some statistical properties of the proposed distribution such as quantile function, the mode, the rth moment, the moment generating function and the order statistics are discussed. Moreover, the method of maximum likelihood is used to estimate the parameters of the model. Also, to evaluate the performance of the estimators, a simulation study is carried out. Finally, the performance of the proposed distribution is compared through a real data set to some well-known distributions including the new modified Weibull, the additive Burr and the additive Weibull distributions. It is shown that the proposed model provides the best fit for the used real data set.
Bayesian and Classical Estimation for the One Parameter Double Lindley Model
Authors: Ibrahim Mohamed , Mohammed Wahhab , Yousof Haitham M.
Published: September 2020

The main motivation of this paper is to show how the different frequentist estimators of the new distribution perform for different sample sizes and different parameter values and to raise a guideline in choosing the best estimation method for the new model. The unknown parameters of the new distribution are estimated using the maximum likelihood method, ordinary least squares method, weighted least squares method, Cramer-Von-Mises method and Bayesian method. The obtained estimators are compared using Markov Chain Monte Carlo simulations and we observed that Bayesian estimators are more efficient compared to other the estimators.
The Modified Kumaraswamy Weibull Distribution: Properties and Applications in Reliability and Engineering Sciences
Authors: Mead M. E. , Afify Ahmed , Butt Nadeem Shafique
Published: September 2020

We introduce the Kumaraswamy alpha power-G (KAP-G) family which extends the alpha power family (Mahdavi and Kundu, 2017) and some other families. We consider the Weibull as baseline for the KAP family and generate Kumaraswamy alpha power Weibull distribution which has right-skewed, left-skewed, symmetrical, and reversed-J shaped densities, and decreasing, increasing, bathtub, upside-down bathtub, increasing-decreasing–increasing, J shaped and reversed-J shaped hazard rates. The proposed distribution can model non-monotone  and monotone failure rates which are quite common in engineering and reliability studies. Some basic mathematical properties of the new model are derived. The maximum likelihood estimation method is used to evaluate the parameters and the observed information matrix is determined. The performance and flexibility of the proposed family is illustrated via two real data applications.
Demystifying Artificial Intelligence in Medicine
Authors: Solar Cafaggi Sofia
Published: September 2020

The Artificial Intelligence (AI) revolution is disrupting a variety of industries – from manufacturing to agriculture, intellectual property, or retail. Healthcare, a complex industry with countless areas for improvement, will be no different. The effect of AI in medicine and delivery of care is already a source of both excitement and concern. The excitement brings about hope for better treatments and improved delivery thereof; but it also brings uncertainty as to what the future of a physician will be in an AI-reliant world, and the ethical and legal implications this technology will bring about.
Préparation à l'externat : études médicales de premier cycle à l’Université d’Ottawa
Authors: Bruyninx Gladys , Cusson Victoria Marie , De Laplante Stefan
Published: September 2020

Pour les étudiants en médecine, la transition entre le pré-externat et l’externat est une période clé du programme médical de quatre ans. À l’Université d’Ottawa, il a été démontré qu’il y a un manque de satisfaction au sein des étudiants en ce qui a trait à leur préparation à l’externat.

            Cette étude d’amélioration de la qualité vise à apporter des recommandations afin d’améliorer le curriculum médical actuel de manière à améliorer la préparation à l’externat en s’attardant particulièrement à l’unité d’intégration et au stage préparatoire. Une revue de la littérature a été complétée afin de faire ressortir les concepts théoriques sur lesquels se fondent les modifications au curriculum qui ont pour but d’améliorer l’intégration de connaissances lors du pré-externat. Le mapping du curriculum de l’unité d’intégration et du stage préparatoire a également été effectué afin de conceptualiser et concrétiser l’incorporation des modifications au curriculum.

            Lors de l’unité d’intégration, le curriculum est divisé en 54% de cours didactiques, 19% d’activités pratiques et 21% d’ateliers. Pour le stage préparatoire, 22,3% était alloué aux cours didactiques, 28,6% aux ateliers et 48% à la pratique en milieu hospitalier. La préparation à l’externat peut être améliorée en optimisant l’intégration au cours du pré-externat, particulièrement durant la dernière unité de la deuxième année (unité d’intégration). Des modifications potentiellement bénéfiques comprennent : prioriser l’apprentissage actif à l’apprentissage passif ; mettre l’intégration cognitive en premier plan en salles de classe ; bâtir progressivement en complexité en visant à avoir les sujets les plus complexes à la fin du pré-externat en utilisant une approche de cycle de vie; et associer une séance de développement des compétences des cliniques à chaque séance d’apprentissage par cas.
E-cigarette use among Canadian Youth: A review of the literature using an interdisciplinary lens
Authors: Oostlander Samantha , Hajjar Julia , Pausé Elise
Published: September 2020

Objective: The increasing use of e-cigarettes among Canadian youth is a concerning population health issue. Vaping, the act of using an e-cigarette, was initially marketed as a healthier alternative to smoking traditional cigarettes, however its use is having unintended negative consequences on those who use them. One of the most concerning consequences is the presence of “e-cigarette, or vaping, product use associated lung injury” (EVALI) which had led to hospitalization. Youth in particular are an overrepresented demographic affected by these negative consequences, likely as a result of both exposure to marketing, which is a well-established determinant of youth behavior as well as inadequate public policy. The purpose of this paper is to present a review of the literature surrounding the issue of e-cigarette use among youth from an interdisciplinary perspective. Method: A narrative review was conducted to summarize the state of e-cigarette use among young Canadians and conceptualize this problem from the perspective of public policy, followed by biomedicine, health economics and education. Results: The results of this review are a summary of the current state of the literature framed with an interdisciplinary perspective. Recommendations for how these interdisciplinary perspectives can be brought together to provide effective solutions for this population health issue are provided. Conclusion: Identifying and understanding this problem through an interdisciplinary approach has the potential to create effective and sustainable solutions. Partnerships between school boards and governmental bodies can enhance educational resource allocation and align messaging to youth through several platforms.