bluuebunny/crossref_metadata_2025 huggingface dataset:
Supply Chain Management Perspective on Shortages in Drugs Sourcing
Authors: Baporikar Neeta , Kaloia Dofilia Sinangui
Published: July 2020

Drug supply shortages globally make hospitals vulnerable. It effects service delivery and patient satisfaction apart from endangering lives. Further, drug sourcing to ensure supply to satisfy patients' needs is a strategic priority for any health care system in any country. Katutura hospital and Namibia is no exception. However, frequent drug shortages have created difficulty in ensuring patients get prescribed medication. Adopting a descriptive research design, pharmacists, and nurses were surveyed and 22 questionnaires were distributed out of which 21 (95%) responded in full. The main objective of this study was to identify the causes of the drug supply shortage from a supply chain perspective and suggest strategies to deal with the shortage in an optimum manner. The findings reveal supply chain disruption, management inefficiencies, are inadequate inventory management are some of the main causes for drug supply shortage resulting in difficulties and inefficiencies for proper drug delivery and supply.
Equitable Optimization for Multicast Communication
Authors: Fourour Said , Lebbah Yahia
Published: July 2020

Multicast communication is characterized by the multiplicity of streams defining different groups, where each stream has multiple sources. A multicast communication tends to flood the network with a large number of flows that can overload some nodes and unload others. This imbalance in the load distribution weakens network performance and could produce bottlenecks around overloaded nodes. We propose in this article an approach based on a combination of a flow approach and a multi-agent optimization to resolve the load balancing issue of multicast communication. We use ordered weighted average (OWA), a multi-criteria optimization method, to balance the degree of the nodes, ensuring a balanced load distribution across the network. The experiments conducted on a series of networks show that our approach provides a better equitable load assignment.
Nonlinear Geometric Framework for Software Defect Prediction
Authors: Kakkar Misha , Jain Sarika , Bansal Abhay , Grover P. S.
Published: July 2020

Humans use the software in every walk of life thus it is essential to have the best quality software. Software defect prediction models assist in identifying defect prone modules with the help of historical data, which in turn improves software quality. Historical data consists of data related to modules /files/classes which are labeled as buggy or clean. As the number of buggy artifacts as less as compared to clean artifacts, the nature of historical data becomes imbalance. Due to this uneven distribution of the data, it difficult for classification algorithms to build highly effective SDP models. The objective of this study is to propose a new nonlinear geometric framework based on SMOTE and ensemble learning to improve the performance of SDP models. The study combines the traditional SMOTE algorithm and the novel ensemble Support Vector Machine (SVM) is used to develop the proposed framework called SMEnsemble. SMOTE algorithm handles the class imbalance problem by generating synthetic instances of the minority class. Ensemble learning generates multiple classification models to select the best performing SDP model. For experimentation, datasets from three different software repositories that contain both open source as well as proprietary projects are used in the study. The results show that SMEnsemble performs better than traditional methods for identifying the minority class i.e. buggy artifacts. Also, the proposed model performance is better than the latest state of Art SDP model- SMOTUNED. The proposed model is capable of handling imbalance classes when compared with traditional methods. Also, by carefully selecting the number of ensembles high performance can be achieved in less time.
Design and Simulation of Space Pose Controller for Mine-Used Bolter Manipulator Based on Fractional Order Algorithm
Authors: Zhang Jun , Meng Wen Jun , Tao Shi , Guo Zhi Fu , Ji Peng Fei , Zhou Kai Ping , Gao Xiao Hui
Published: July 2020

In this paper, two kinds of spatial position and attitude controllers based on fractional order algorithm and algorithm are designed. Based on the basic assumptions, the model is established and the control of the spatial positioning of the manipulator is studied. The control effects of traditional controller and fractional order controller are analyzed and compared by numerical simulation method. At the same time, the effects of parameters and of fractional order controller and controller on system performance are simulated and analyzed. The results show that the fractional order controller has faster and better robustness than the traditional controller. The research of fractional order controller has become a new method to predict the space trajectory tracking and positioning of the manipulator and to ensure the positioning accuracy of the manipulator.
Tissue Damage Caused by Impaired Phagocytosis of Dead Cells: A Previously Unrecognized Adverse Effect Contributing to the Pathogenesis of γδ T Cells in Legionella Pneumonia
Authors: Kajiwara Chiaki , Kimura Soichiro , Tanaka Yuriko , Akasaka Yoshikiyo , Ishii Yoshikazu , Tateda Kazuhiro
Published: July 2020

IL-17 plays a critical role in the immunological control of various infectious diseases; its function has been investigated in the removal of both extracellular and intracellular bacteria. Our group previously revealed the importance of IL-17 in neutrophil migration following Legionella infection by using IL-17AF knockout mice; however, aside from neutrophil infiltration, alternative causes for the reduced survival of these mice have not been characterized. In this study, we found that γδ T cells in IL-17AF knockout mice were markedly increased and produced the cytotoxic substances granzyme B and perforin. Moreover, the elimination of γδ T cells from these mice, via an anti-TCRδ Ab, caused a substantial reduction in the level of lactate dehydrogenase in bronchoalveolar lavage fluid, indicating that γδ T cells contribute to lung tissue damage. Moreover, although cells lysed by cytotoxic substances are typically eliminated by phagocytic cells, in IL-17AF knockout mice, lung homeostasis was not maintained because of a decrease in phagocytic cells that impaired the clearance of dead cells. Our results indicate that increased γδ T cells in IL-17AF knockout mice help eliminate Legionella by releasing cytotoxic substances and lysing infected cells; however, this results in tissue damage due to insufficient removal of dead cells by phagocytic cells. This study enhances our understanding of the protective response against Legionella and provides insights into γδ T cell–mediated protective immunity against various infectious diseases.
Toxic leadership: Effects on job satisfaction, commitment, turnover intention and organisational culture within the South African manufacturing industry
Authors: Paltu Amelda , Brouwers Marissa
Published: July 2020

Orientation: The impact of toxic leadership on employees and organisations has only recently become the focus of certain research studies.Research purpose: The general objective of this research was to investigate the relationship between toxic leadership, job satisfaction, turnover intention and commitment. The aim further was to test whether organisation culture mediates the relationship between toxic leadership and certain job outcomes such as job satisfaction, turnover intention and commitment.Motivation for the study: Currently, no knowledge is available on the relationships between toxic leadership and job outcomes within the context of South African manufacturing organisations. Therefore, this study provides South African organisations and researchers with an insight into such a relationship and the mentioned mediation of organisational culture in the process.Research approach/design and method: A cross-sectional research design with a sample size of N = 600 manufacturing employees was used. Product–moment correlations, multiple regression and structural equation modelling were used.Main findings: The test results returned both direct and indirect effects for all the relationships, which indicated only partial mediation in all the tested relationships.Practical/managerial implications: The results provided organisations’ insight into the possible consequences of toxic leadership on employees and the organisations’ culture.Contribution/value-add: The improved understanding of toxic leadership and the relationship with certain job outcomes contributes to the body of knowledge on both the theory of toxic leadership and on employees’ experience of such leadership styles in the work environment.
The many faces of interstitial pneumonia: a case of presumed SARS-CoV-2 infection
Authors: Rigamonti Elia , Salera Davide , Gheorghiu Alina C. , Fratila Corneliu , Gianella Pietro
Published: July 2020

We present the case of an oncology patient admitted to our hospital during the current COVID-19 pandemic with clinical and radiological features strongly suggestive of interstitial pneumonia. Multiple laboratory tests were negative for SARS-CoV-2 (polymerase chain reaction testing of nasopharyngeal swabs, and of induced sputum and stool samples, investigation of serum immunoglobulins G and M). In the setting of an immunocompromised status due to recent chemotherapy cycles for lung adenocarcinoma and prolonged corticosteroid therapy (due to frequent exacerbations of chronic obstructive pulmonary disease in recent months), we actively searched for the pathological agent and found it to be Pneumocystis jirovecii. The patient started specific antibiotic treatment but finally had a negative outcome due to the progression of the lung adenocarcinoma.
The importance of differential diagnostics in clinical practice should be a given, especially during times of pandemic. The novel coronavirus infection introduced new guidelines for and approaches to the investigation of immunocompromised patients, so it is especially important not to forget the basis of differential diagnosis, to and adopt a thorough approach when assessing these complex patients. We want to stress the importance of thorough investigation to avoid misdiagnosis of atypical pathogens in the current setting of SARS-CoV-2 pandemic.
HAIR DIAMETER COMPARISON BETWEEN SLICK- AND WILD TYPE-HAIRED PUERTO RICAN HOLSTEIN COWS
Authors: Sánchez-Rodríguez Héctor L.
Published: July 2020

Resumen en ingles
MORPHOLOGICAL AND PHENOLOGICAL EVALUATION OF TEN AVOCADO CULTIVARS
Authors: Ayala-Silva Tomás , Gubbuk Hamide , Twumasi Yaw , Ledesma Noris
Published: July 2020

Resumen en ingles
MEDICINA BASEADA EM EVIDÊNCIA
Authors: Costa Carlos Alberto Soares da
Published: July 2020

O artigo registra as conferências do evento congresso internacional de inovação tecnológica nas ciências da saúde: a sustentabilidade das práticas integrativas a agroecologia, mais especificamente a conferência Medicina baseada em evidência: mortalidade hospitalar devido a doenças cardiovasculares em Santo Antônio de Jesus (BA): evidências e reflexões. A conferência discutiu que os homens morrem mais por doenças cardiovasculares na faixa etária da população economicamente ativa.  O evento aconteceu de 15 a 18 de novembro de 2017 no IFBA SAJ sob a direção da Universidade Federal do Recôncavo da Bahia.

 Palavras-chave: Medicina baseada em evidência. Mortalidade hospitalar. Doenças cardiovasculares.
USO DE PREPARADOS HOMEOPÁTICOS NA PRODUÇÃO DE ALIMENTOS AGROECOLÓGICOS E FITOTERÁPICOS
Authors: Rabelo Myriam Raffaella
Published: July 2020

RESUMO

 

 

 

O artigo registra os cursos do congresso internacional de inovação tecnológica nas ciências da saúde: a sustentabilidade das práticas integrativas a agroecologia, mais especificamente o minicurso Uso de Preparados Homeopáticos na Produção de Alimentos Agroecológicos  e Fitoterápicos. O minicurso enfatiza que os princípios da prática homeopática e da agroecologia  buscam o equilíbrio dos organismos vivos fortalecendo a energia vital e a convivência do ser humano com ambiente.  O evento aconteceu de 15 a 18 de novembro de 2017 no IFBA SAJ sob a direção da Universidade Federal do Recôncavo da Bahia.

Palavras-chave: Agroecologia. Homeopatia. Fitoterápicos.  Sustentabilidade.
CONTROLE ALTERNATIVO DE PRAGAS E DOENÇAS
Authors: Dias Jilson
Published: July 2020

O artigo registra os cursos do congresso internacional de inovação tecnológica nas ciências da saúde: a sustentabilidade das práticas integrativas na agroecologia, mais especificamente o minicurso Controle Alternativo de Pragas e Doenças. O minicurso apontou as contribuições da agroecologia para a agricultura mundial, através de técnicas alternativas ao modelo convencional; procurou integrar as práticas culturais das comunidades tradicionais, as formas de convivências com a dinâmica dos ecossistemas observados pelos agricultores protetores da natureza. O evento aconteceu de 15 a 18 de novembro de 2017 no IFBA SAJ sob a direção da Universidade Federal do Recôncavo da Bahia.

Palavras-chave: Agroecologia. Práticas Culturais. Comunidades Tradicionais. Ecossistemas.
POLÍTICAS TRADICIONAIS NO CONTEXTO DA CONTEMPORANEIDADE
Authors: Paula Carlos Alberto Santos de
Published: July 2020

O artigo registra as conferências do evento Congresso internacional de inovação tecnológica nas ciências da saúde: a sustentabilidade das práticas integrativas à agroecologia, mais especificamente a conferência Políticas tradicionais no contexto da contemporaneidade. Com o foco na medicina indígena e afrodescendente a conferência abordou no contexto da contemporaneidade, o adiamento da construção de uma sociedade igualitária pela naturalização da história de violência com o advento da escravidão e dos saberes científicos coloniais. O evento aconteceu de 15 a 18 de novembro de 2017 no IFBA SAJ sob a direção da Universidade Federal do Recôncavo da Bahia.

Palavras-chave: PICS. Medicina indígena. Medicina africana. Saúde. Movimento.
ALIMENTAÇÃO VEGETARIANA E QUALIDADE DE VIDA
Authors: Alves de Melo Maria José
Published: July 2020

O artigo registra os minicursos do evento congresso internacional de inovação tecnológica nas ciências da saúde: a sustentabilidade das práticas integrativas a agroecologia, mais especificamente a conferência Alimentação vegetariana e qualidade de vida: mitos e verdades. O minicurso apresentou a alimentação vegetariana  na interação entre à saúde do corpo, à saúde do planeta e à vida dos animais. O evento aconteceu de 15 a 18 de novembro de 2017 no IFBA SAJ sob a direção da Universidade Federal do Recôncavo da Bahia.

 

Palavras-chave: vegetarianismo. Sustentabilidade. Saúde. Qualidade de vida.
WORKSHOP DOS GRUPOS DE PESQUISA DE INOVAÇÃO TECNOLÓGICA NAS CIÊNCIAS DA SAÚDE.
Authors: Santos Júlio César
Published: July 2020

O artigo registra as conferências do evento congresso internacional de inovação tecnológica nas ciências da saúde: a sustentabilidade das práticas integrativas a agroecologia, mais especificamente a conferência WORKSHOP DOS GRUPOS DE PESQUISA DE INOVAÇÃO TECNOLÓGICA NAS CIÊNCIAS DA SAÚDE. O evento marcou o lançamento da revista científica REVISE que contou com a presença de editores da Revista Baiana de Saúde Pública e da Revista Gueto. O evento aconteceu de 15 a 18 de novembro de 2017 no IFBA SAJ sob a direção da Universidade Federal do Recôncavo da Bahia.

Palavras-chave: Revista científica. Divulgação. Trabalhos científicos. Periódico.
URGENSI SPESIALISASI PENYIDIK POLRI DALAM PEMBERANTASAN TINDAK PIDANA KORUPSI
Authors: Chaerani Nur Nurul , Djabbar Asdar
Published: July 2020

Tujuan penelitian ini adalah untuk mengetahui dan menganalisis urgensi spesialisasi Polri dalam pemberantasan Tindak Pidana Korupsi di Kabupaten Biak Numfor, serta untuk mengetahui dan menganalisis hambatan yuridis yang dihadapi Polri dalam melakukan penyidikan Tindak Pidana Korupsi di Kabupaten Biak Numfor. Pendekatan yang digunakan dalam penelitian ini adalah penelitian yuridis empiris.Penelitian ini dilaksanakan di Kabupaten Biak Numfor pada Kepolisian Resor Biak Numfor. Populasi dalam penelitian ini adalah semua aparat polisi di Kepolisian Resor (POLRES) Biak Numfor, dari populasi tersebut, maka ditentukan sampel sebagai berikut : Kepala Bagian Sumber Daya Manusia Polres Biak Numfor, Kepala Unit Tindak Pidana Korupsi. Jenis data yang dipergunakan dalam penelitian ini adalah data primer dan data sekunder.Penelitian ini menggunakan analisis data kualitatif.Hasil penelitian menunjukkan bahwa : Penyidik Polri yang profesional dengan didukung perilaku yang handal maka akan mampu melaksanakan penyidikan tindak pidana korupsi dengan benar sesuai harapan masyarakat. Hambatan yang dihadapi Polri dalam melakukan penyidikan tindak pidana korupsi di Kabupaten Biak Numfor yaitu kualitas penyidik Polri saat ini belum profesional dalam melakukan penegakan hukum tindak pidana korupsi, adalah : pembinaan personil Polres Biak Numfor, masih ditemukannya praktik-praktik penyimpangan hukum yang sering terjadi dalam tugas penyidikan, penerapan reward and punishment (penghargaan dan hukuman) yang belum dilaksanakan secara konsisten, keterbatasan sarana dan prasarana serta anggaran yang dimiliki Polres Biak Numfor, adanya ketentuan dalam Undang-Undang Nomor 31 Tahun 1999 jo. Undang-Undang Nomor 20 Tahun 2001 yang memberikan kewenangan penyidikan tidak hanya kepada Polri, tetapi diberikan juga kewenangan kepada Kejaksaan dan KPK, image masyarakat terhadap profesionalisme penyidik Polri dalam penegakan hukum tindak pidana korupsi belum mendukung karena secara kualitas dilihat belum mampu menunjukan eksistensi secara realitas dalam melakukan penegakan hukum tindak pidana korupsi, pelaksanaan koordinasi antara aparat yang berkompeten dalam penegakan hukum tindak pidana korupsi masih belum terselenggara dengan baik, masih adanya anggapan dikalangan masyarakat atau Instansi lain (Kelembagaan dan Non Kelembagaan) bahwa Polri tidak berwenang dalam penyidikan tindak pidana korupsi.
IMPLIKASI HUKUM TERHADAP SALAH UKUR TANAH MILIK MASYARAKAT OLEH BPN KOTA LANGSA
Authors: Ramadhani Wahyu
Published: July 2020

Based on Article 1 number (5) Regulation of the Minister of Agrarian (PMNA) Number 3 of 1997 concerning Mapping plots of land is an activity describing the results of measurements of land plots systematically or sporadically by a certain method on certain media such as paper sheets, drafting films or other media so that the location and the size of the plot of land can be known from the media where the mapping of the plot of land is. This research is trying to answer how the legal implications of community land misstatement by BPN and what are the efforts and obstacles of BPN in the settlement of misalignment of community owned land. In this study the authors used normative and empirical juridical research methods. Normative juridical research is research conducted by examining library materials or secondary data. As a result of the Legal Measure of Misuse of Community Owned Land By BPN, in this case we can know that this can be contested and can be canceled due to incorrect measurements of community owned land, especially in the future which can have an effect on landowners in carrying out the sale and purchase deed, therefore the consequences of this law can be said to be administrative defects. In solving cases of community land misstatement here BPN still lacks human resources who understand the mediation of land disputes settlement. This was revealed by Mr. Syahrizal that in resolving land disputes through mediation by the East Aceh District Land Agency, which was carried out by the Deputy for Management, Study and Handling of Land Disputes due to the lack of mediators in the Office.
A method for determining the emergence level of transformer technologies for green energy applications
Authors: Garechana Gaizka , Río-Belver Rosa , Zarrabeitia Enara , Álvarez-Meaza Izaskun
Published: July 2020

Solid State Transformers (SST) are the result of merging the power electronics possibilities for voltage and frequency control with high-frequency transformers, and are expected to be a key component for enabling some important features that future energy grids must possess: reversibility, stability, modularity and compactness, among others. In addition to this, the possibilities of SSTs can be enhanced with advanced semiconductor materials such as Silicium Carbide (SiC), considerably improving the voltage and frequency ranges of this devices. This study aims at developing a quantitative method for characterizing the emergence level of SSTs and SiC-based transformers in three areas where these technologies can have a sizable impact: photovoltaic (PH ) and eolic (EO) energy production and electric vehicle (EV) appliances. Results show that PH area will probably outpace the EO area in both technologies, but the attention of the scientific community may be shifting from PH in the SiC-based transformer technology. EV applications are, on average, closer to the life cycle’s exponential growth stage  than PH and EO areas, so it seems reasonable to expect a comparatively faster increase of both scientific and technology development activity in this field.
Mining News Data for the Measurement and Prediction of Inflation Expectations
Authors: Gabrielyan Diana , Masso Jaan , Uusküla Lenno
Published: July 2020

In this paper we use high frequency multidimensional textual news data andpropose an index of inflation news. We utilize the power of text mining and itsability to convert large collections of text from unstructured to structured formfor in-depth quantitative analysis of online news data. The significantrelationship between the household’s inflation expectations and news topics isdocumented and the forecasting performance of news-based indices isevaluated for different horizons and model variations. Results suggest that withoptimal number of topics a machine learning model is able to forecast theinflation expectations with greater accuracy than the simple autoregressivemodels. Additional results from forecasting headline inflation indicate that theoverall forecasting accuracy is at a good level. Findings in this paper supportthe view in the literature that the news are good indicators of inflation and areable to capture inflation expecta-tions well.
Citizens’ attention in Madrid City through the study of personalized records
Authors: Rey del Castillo Pilar
Published: July 2020

The datification of our daily lives in the Big Data era is producing a hugeamount of information about processes and activities that were previouslyinvisible or at least difficult to grasp, leading to new opportunities andchallenges for analysis. For example, Call Detail Records (CDRs) producedby telecom providers for billing purposes are frequently studied to monitorcitizens movements through the territory or to other objectives very differentfrom their original aim.Other data available are the tens of million of Call Records (CRs) of@lineamadrid that can be downloaded from the open data portal offered bythe local government of Madrid City. These records are less well studied andbecome the counterpart of the mentioned CDRs from the call receiver’sperspective. They are stored as a result of a front office tool retaining someinformation from a range of different communication channels to manage theinteraction with users.The paper explores the data contained on these CRs to help improve customerattention services. It emphasizes the study of the topics that concern the citizensand the different offices dealing with the services, using Natural LanguageProcessing and other tools.
An algorithm to fit conditional tail expectation regression models for vehicle excess speed in driving data
Authors: Pitarque Albert , Guillen Montserrat
Published: July 2020

Marketers are faced with the daunting challenge of identifying insights anddelivering the right combination of online and offline tactics to engageconsumers at various stages along the consumer journey. In this paper, weinvestigate the effects of retargeting in a multichannel environment. Using athree-stage modeling approach, we find retargeting is an effective advertisingactivity to influence purchase incidence, but only when combined with otherspecific marketing activities. While catalogs and emails have positivesynergies with retargeting, website visits and retargeting have a negativesynergy on a consumer’s decision to make a purchase. One possibleexplanation to the negative synergistic effect is that consumers may findretargeting obtrusive when browsing online, whereas it may serve as awelcome reminder when, combined with emails or catalogs. Rather thannudging consumers along the consumer journey some combinations ofadvertising activities may actually deter customers from engaging with a firm.
A field study on the impacts of implementing concepts and elements of industry 4.0 in the biopharmaceutical sector
Authors: Silva Felipe , Resende David , Amorim Marlene , Borges Monique
Published: July 2020

This study proposes a field study, based on a systematic literature review,about the applications and impacts of Industry 4.0 (I4.0) in thebiopharmaceutical sector. The world is facing a new industrial revolution thatis happening at a faster pace than the previous ones. The central idea is theintegration between the virtual and the real world through elements that willallow a greater degree of automation and digitization of processes Thefieldwork, carried out between July and December 2019, considered semi-structured interviews with managers of pharmaceutical companies orspecialists in the I4.0 theme. The interviews pointed out the need for thebiopharmaceutical sector to adapt to the concepts of I4.0 and identified itsmain benefits and barriers. The perceptions were considerably diversified,with the benefits in operational efficiency, productivity and quality being themost scored items. Regarding the main barriers, the most highlighted by theinterviewees were the need to break organizational cultural standards,regulatory requirements, the lack of organizational strategies forimplementation and the lack of qualified professionals. In conclusion, thiswork in progress is a contribution to the biopharmaceutical sector andreinforces the imminent need for companies to adapt to this new reality.
Strategic Open Innovation model: mapping Iberdrola network
Authors: Pikatza Naiara , Álvarez-Meaza Izaskun , Río-Belver Rosa María , Cilleruelo Ernesto
Published: July 2020

Companies are increasingly obliged to collaborate with each other if they wantto be innovative, and this growing transfer of knowledge takes place in acontext of Open Innovation. To study these scientific-technologicalcollaboration networks within an Open Innovation context, the case study ofIberdrola, a Spanish business group dedicated to the production, distributionand marketing of energy, has been chosen. Two methods have been used; thebibliometric method to analyze the Iberdrola scientific network, and patentdata analysis, to analyze the technological network. This has been achievedby using the Scopus and PatSeer databases, and refining the data withVantagePoint software. It was found that in both cases collaboration takesplace with the university, other companies, and research centers. Iberdrolahas an extensive scientific and technological collaboration networkthroughout the world. Both scientific and technological collaboration, despiteit not being common practice in companies, nevertheless, it can be concludedthat Iberdrola is committed to such collaboration in following with theguidelines of its organizational model based on Open Innovation.
Data granularity in mid-year life table construction
Authors: Pavia Jose M , Salazar Natalia , Lledo Josep
Published: July 2020

Life tables have a substantial influence on both public pension systems andlife insurance policies. National statistical agencies construct life tables fromhypotheses death rate estimates to the (mx aggregated ), or death figures probabilities of demographic (q x ), after applying events (deaths, variousmigrations and births). The use of big data has become extensive acrossmany disciplines, including population statistics. We take advantage of thisfact to create new (more unrestricted) mortality estimators within the familyof period-based estimators, in particular, when the exposed-to-riskpopulation is computed through mid-year population estimates. We useactual data of the Spanish population to explore, by exploiting the detailedmicrodata of births, deaths and migrations (in total, more than 186 milliondemographic events), the effects that different assumptions have oncalculating death probabilities. We also analyse their impact on a sample ofinsurance product. Our results reveal the need to include granular data,including the exact birthdate of each person, when computing period mid-year life tables.
Investigating inefficiencies of bookmaker odds in football using machine learning
Authors: Mangold Benedikt , Stübinger Johannes
Published: July 2020

The efficient-market hypothesis states that it is impossible to beat the market, as the price reflects all available information. Applied to bookmaker odds for football games, there should not be a systematic way of winning money on the long run.However, we show that by using simple machine learning models we can systematically outperform the markets belief manifested through the bookmakers odds. The effect of this inefficiency is diminishing over time, which indicates that the knowledge that has been derived from and the pure amount of the data is also reflected in the odds in recent times.We give some insights how this effect differs across major football leagues in Europe, which algorithms are performing best and statistics on the ROI using machine learning in football betting. Additionally, we share how the simulation study has been designed in more detail.
Bridging internet and cultural heritage through a digital marketing funnel: An exploratory approach
Authors: Veghes Calin
Published: July 2020

Digital marketing and cultural heritage: what may have in common two areas that seem so different? What may connect a dynamic, evolving and even catchy field to a rather static, outdated and quite boring one? Maybe a funnel. Actually, a marketing funnel. More precisely a digital marketing funnel aiming to support the capitalization of the cultural heritage by drawing attention, raising interest, stimulate desire and generate action related to the cultural heritage output – goods, services, brands, events, and activities – under of the forms of discovering, exploring, experiencing and enjoying this heritage. Using secondary data regarding the cultural heritage in the European Union, the paper investigates the connections between the usage of the internet for cultural heritage purposes, different forms of consumption of the cultural heritage, and main barriers limiting this consumption and illustrates that building and employment of a digital marketing funnel is indispensable in the capitalization of the cultural heritage.
Combining content analysis and neural networks to analyze discussion topics in online comments about organic food
Authors: Danner Hannah , Hagerer Gerhard , Kasischke Florian , Groh Georg
Published: July 2020

Consumers increasingly share their opinions about products in social media.However, the analysis of this user-generated content is limited either to small,in-depth qualitative analyses or to larger but often more superficial analysesbased on word frequencies. Using the example of online comments aboutorganic food, we suggest a three-step methodological approach of how latestdeep neural networks can scale up the insights of qualitative analyses. First, aqualitative content analysis defines a class system of opinions. Second, a pre-trained neural network, the Universal Sentence Encoder, uses this class systemto automatically classify the same data by finding similar opinions. Third, theautomatic classification results are evaluated based on several criteria. Wefind coherent results of qualitative and automated classification proving theability of Universal Sentence Encoder to classify text. After this validation,Universal Sentence Enconder can be used to classify larger data sets onorganic food. The suggested approach allows to scale up sample size whilemaintaining the detail of class systems provided by qualitative contentanalyses. The approach can be applied to different domains and supportconsumer and public opinion researchers as well as marketing practicionersin further uncovering the potential of insights from user-generated content.
Information balance between newspapers and social networks
Authors: Russo Andrea , Mazzeo Rinaldi Francesco , Giuffrida Giovanni
Published: July 2020

Competing newspapers, after all, tend to publish the same information in agiven time frame. However, each editor tends to aggregate and present thenews according to certain criteria such as editorial policies, filteringstrategies, readers base, etc. Thus, the proper choice and filtering ofinformation makes one newspaper different from the other and, the propermanagement of such criteria, may deem the success or failure of a newspaper.From the editor’s perspective, the news selection process is a trade-offbetween informativeness and attractiveness, as determined by the readership.Could there be an optimal balance between these two conflicting forces?Moreover, is it possible that cultural and political inputs from social mediamay impact the news selection process?Political news on social networks represent nowadays a valuable informativeasset that gives the possibility to correlate newspaper information with publicrequest expressed on social networks. We believe that it is possible to developa theory to mitigate the newspaper’s cultural identity with the publicinformation needs collected on social media.In our work, we show how to measure the society request for information, andhow this can be conveyed.
Third Places and Art Spaces: Using Web Activity to Differentiate Cultural Dimensions of Entrepreneurship Across U.S. Regions
Authors: Slaper Timothy F. , Bianco Alyssa , Lenz Peter
Published: July 2020

We use unconventional data to assess regional entrepreneurial activitytogether with regional variations in personality (or culture) driving differencesin business formation as advanced by Obschonka et al. (2015). In this paper,we expand recent research using virtually contemporaneous, andgeographically granular, user online activity to estimate a region’s proclivityfor entrepreneurship. We assess the statistical relationships between businessformation, operationalized as establishment births, and the web activityassociated with a user’s interest in “third places” – informal gathering andmixing locations – and sites related to arts, music and design – “arts spaces.”We operationalize interest in and association with third places and arts spacesby the website activity geographically based in U.S. ZIP codes. Initiallydeveloped for marketing analytics, these data are derived by severalproprietary algorithms that create consumer profiles based on a person’spurchase interests, hobbies, activities or topical preferences as expressed byweb activity.Controlling for regional interest in entrepreneurship related web resources,we find that interest in third places and art spaces can explain more than halfof the variation in regional business formation. Establishing that regions witha high concentration of consumer interest in third places and art spaces mayattract the attention of would be entrepreneurs as desirable places to live, workand explore business opportunities may help address the critical missingingredient in regions with lower rates of start-ups and business growth.
New technologies and role of direct surveys in the production of Official Statistics
Authors: De Gaetano Loredana , Papa Pasquale
Published: July 2020

The technological development that has taken place in recent years and the increasingavailability of alternative statistical sources is leading to a profound revision of the role ofdirect surveys, also in the context of Official Statistics.The objective of this article, based on the experiences in progress in ISTAT (Italian NationalStatistical Institute) is to evaluate the progress of the transition in a set of specific areas,providing examples and targeted analysis. This analysis will help build a general frameworktowards which the collection of Official Statistics data will converge in the next decade.
Sample Size Sensitivity in Descriptive Baseball Statistics
Authors: Kulas John , Wanamaker Marlee , Padron-Marrero Diuky , Xu Hui
Published: July 2020

This paper presents one element of a larger project that probes for systematicand predictable patterns of variability/volatility in baseball's descriptivestatistics. The larger project standardizes many baseball indices along anevent metric and provides relative estimates of each index’s point of inflectiontoward an empirical asymptote. Specifically these estimates reflect deviationsin sensitivity to “sample size” (e.g., which descriptive statistics are more orless robust across events). The end purpose of this broader investigation is aqualifier to be associated with such statistics: sample size sensitivity (TripleS). Not because it's needed, but because, colloquially, discussions of baseballstatistics are commonly qualified by the cautionary statement, "well, it's asmall sample size". The current presentation highlights the process and resultsof estimating the logarithmic event function of one statistic, batting average,and we will provide real-time projections of accuracy (our estimated functionversus in-coming baseball data that occurs during the CARMA conference).Results have implications for the integration of BigData applications intodigestable summary statistics that appeal to a broad-reaching audience withpractical implications and meaning.
Extracting usual service prices from public contracts
Authors: Bruckner Tomáš , Vencovský Filip
Published: July 2020

The paper describes a project of automatic selection, scraping, and full-text analysis of contracts in the area of IT and Information Systems. The purpose of the project was to extract manday prices and build the list of usual manday prices for particular roles that are stated in the contracts. The list aims to provide a foundation for sizing of new IT solutions before the public tender for an association of major state institutions of the Czech Republic. The result of the research is the list of usual prices for the specified roles, including blended rate, based on median and interval between quartiles, all with demonstrable links to origin contracts. The discussion states additional social factors to be considered when interpreting and using the resulting list, like the subjective influence of validators, tendency for generalization, or defensive attitude of affected vendors.
Political Polarization and Movie Ratings: Web Scraping The Brazilian Contemporary Scenario
Authors: Chagas Bruno De Oliveira , Moritz Ana Paula
Published: July 2020

Our work aims to analyze the impact of political polarization on movieratings at the IMDB platform. For that we explore the concepts of Word ofMouth and Buzz marking the important role they play on polarized opinionsin movie ratings.We develop a code on python to perform web-scrapping onthe sample scope of Brazilian movies and interpret the data collected using acontroversiality index based on standard deviation. The outcome sheds somelight into the relation between Buzz and Controversiality within theframework of Brazil’s current political scenario.
Donald Trump, investor attention and financial markets
Authors: Mohapatra Tapas Tanmaya , Gehde-Trapp Monika
Published: July 2020

Information attracts attention but attention is costly. Social media has been at the forefront ofinformation dissipation due to the sheer number of users propagating information in a fast but cheap way. We look into one specific case where Donald Trump’s tweets on companies have had effect on retail investors whose only source of information is internet. We find that retail investor attention spike as indicated by surge in Google Search Volume Index following Donald Trump’s tweet, irrespective of the tone in the tweet. We also find that Trump’s tweet facilitates wealth transfer due to selling from the retail investors followed by buying by the institutional investors in low retail investor attention environment. Finally, we see no effect in intra-day returns for the stocks irrespective of the attention they are receiving.
From R0 to the Herd: A Review of The Rules of Contagion, by Adam Kucharski
Authors: Grawe Nathan
Published: July 2020

Adam Kucharski. 2020. The Rules of Contagion: Why Things Spread--and Why They Stop; (London: Profile Books, Ltd.). Hardback ISBN 978-17-88-16019-3. E-book ISBN 978-17-82-83430-4.

Kucharski's well-timed Rules of Contagion provides an introduction to the mathematical and epidemiological principles behind contagious phenomenon. While the author's primary expertise stems from work on biological epidemics, the book points to examples from a wide range of fields including finance, psychology, computer science, and criminology. As such, selections of the book could be used by faculty in a wide range of classes to show how our recent experience with a viral epidemic might add to our understanding of a diverse set of questions. While the book points to models behind epidemiological work, those who want an explicit treatment will need to draw that material from other available sources.
Quantitative Literacy: A Tool for Survival
Authors: Karaali Gizem
Published: July 2020

In the context of a global pandemic, the need for quantitative literacy has become more urgent. QL and QL-adjacent habits of mind, such as awareness of the limitations of data and modeling, are vital tools of survival that can help people understand today's fast-changing world and make decisions about next actions, in particular in relation to the ongoing protests supporting the #BlackLivesMatter movement. QL does not provide a final answer to most human questions, but it can be an invaluable guide for each individual decision maker.
How Loose, How Tight? A Measure of Monetary and Fiscal Stance for the Euro Area
Authors: Batini Nicoletta , Cantelmo Alessandro , Melina Giovanni , Villa Stefania
Published: July 2020

This paper builds a model-based dynamic monetary and fiscal conditions index (DMFCI) and uses it to examine the evolution of the joint stance of monetary and fiscal policies in the euro area (EA) and in its three largest member countries over the period 2007-2018. The index is based on the relative impacts of monetary and fiscal policy on demand using actual and simulated data from rich estimated models featuring also financial intermediaries and long-term government debt. The analysis highlights a short-lived fiscal expansion in the aftermath of the Global Financial Crisis, followed by a quick tightening, with monetary policy left to be the “only game in town” after 2013. Individual countries’ DMFCIs show that national policy stances did not always mirror the evolution of the aggregate stance at the EA level, due to heterogeneity in the fiscal stance.
It is not just a game. Do soccer matches affect cardiovascular events?
Authors: Kuźma Lukasz , Struniawski Krzysztof , Sielatycki Piotr , Pogorzelski Szymon , Bachórzewska-Gajewska Hanna , Dobrzycki Sławomir
Published: July 2020

Introduction

Acute coronary syndrome (ACS) could be triggered by emotions that are often associated with watching sport events. The aim of this study was to assess the influence of soccer matches on the frequency of admissions for ACS.

Material and methods

The study was based on the medical records of patients treated at the Clinical Hospital of Medical University of Bialystok from 2007 to 2018. All the official matches of the local team that took place during the study period were included in the analysis. A Poisson regression with a time effect of 0 and +1 day was used to assess the effect of matches.

Results

A total of 10 529 patients admitted due to ACS from Bialystok city and county were included in the analysis. The mean age of the patients was 66.6 ±12 years, and the majority were male (62%). The mean daily number of ACS admissions was 2.4 ±1.7. Since 2007, Jagiellonia Białystok has played 451 matches in total. The comparative analysis of exciting matches showed a higher frequency of admissions due to unstable angina (UA) (1.50 ±1.55 vs. 0.71 ±0.90, p < 0.01). The lost matches played at home were associated with a 27% increase in the number of male admissions for ACS (RR = 1.27, 95% CI: 1.02–1.58, p = 0.03).

Conclusions

The results achieved by the local professional soccer team are related to the incidence of ACS in the male population. Emotions caused by lost games play an important role as a triggering factor for ACS in this group.
Tangeretin prevents cardiac failure induced by reperfusion/ischaemia by inhibiting apoptosis, endoplasmic reticulum stress, and JNK/ERK pathway
Authors: Liu Yu , Wang Jian , Zhang Chuanlei , Hou Xinran , Kong Yan
Published: July 2020

Introduction

Cardiac diseases constitute the leading cause of human mortality across the globe. The study was conducted to examine the cardiac preventive effects of tangeretin on H9c2 cardiomyocytes.

Material and methods

Ischaemia/reperfusion was induced in H9c2 cardiomyocytes through anoxygenic conditions. CCK8 was used for estimation of the viability of cardiomyocytes. SOD, CAT, and GSH were determined by biochemical assays. Apoptosis was assessed through DAPI, EdU, and Annexin V/PI staining assays. ROS levels were determined by flow cytometry. The mRNA expression was determined by qRT-PCR, and protein expression was determined by western blotting.

Results

The results showed that tangeretin treatment enhanced the proliferation of ischaemic cardiomyocytes in a time-dependent fashion. The EDU and DAPI staining assays showed that ischaemic cardiomyocytes exhibited lower proliferation rates and higher apoptosis. However, treatment with tangeretin exerted protective effects by inhibiting apoptosis in ischaemic cardiomyocytes. Additionally, annexin V/PI assay showed that tangeretin treatment reduced the percentage of the apoptotic cells in the ischaemic cardiomyocytes. The expression of Bax and caspase-3 were decreased and that of Bcl-2 was increased in ischaemic cardiomyocytes upon tangeretin treatment. The low cytometric analysis showed that tangeretin suppressed the ROS levels in ischaemic cardiomyocytes by increasing the expression of SOD, CAT, and GSH. Finally, tangeretin blocked the JNK/ERK signalling pathway in the ischaemic H9c2 cardiomyocytes.

Conclusions

This study establishes the cardio-protective role of tangeretin and may pave the way for conducting more such studies in the future.
RAI14 in the blood feather regulates chicken pigmentation
Authors: Adetula Adeyinka Abiola , Liu Xiaolei , Yang Liubin , Fang Chengchi , Yu Hui , Li Hua , Li Shijun
Published: July 2020

Abstract. A genome-wide association study (GWAS) was performed on a resource
family consisting of white and colored chickens for identification of genes
related to plumage coloration using the Fixed and random model Circulating
Probability Unification (FarmCPU) package. GWAS identified three chromosomal
single-nucleotide polymorphisms (SNPs), demonstrating the polygenic basis of
plumage phenotypes. Herein, retinoic acid-induced protein 14 (RAI14), a developmentally
regulated gene that encodes a protein containing many ankyrin repeats, was
identified as a candidate gene involved in plumage color. In this study,
mRNA expression profiles of chicken RAI14 were determined, indel (insertion–deletion) variants were
identified, and their association was analyzed in white and colored
chickens. RA114 mRNA was expressed in all tissues tested (brain, spleen, liver,
heart, oviduct, kidney, lung, pituitary gland, ovary, muscle, feather bulb,
and skin). A relatively high RAI14 expression in white feather bulb compared to
colored feather bulb (P<0.01) indicated a potential association with plumage
color. Additionally, statistical analysis revealed that a 4 bp indel genetic
variation in RAI14 was associated with plumage phenotypes (P<0.01).
Together, our analysis of the identification of the RAI14 gene will enable us to
understand the genetic mechanisms behind chicken pigmentation.