bluuebunny/crossref_metadata_2025 huggingface dataset:
Ai and Ml Based Google Assistant for an Organization using Google Cloud Platform and Dialogflow
Authors:   Department of Computer Science and Engineering (CSE), Saveetha School of Engineering, Chennai, India., Reddy* Kanakanti Chinnapa , R Sabitha ,   Professor, Department of Computer Science and Engineering (CSE), Saveetha School of Engineering, Chennai., India.
Published: February 2020

Many people adopting Smart Assistant Devices such as Google Home. Now a days of solely engaging with a service through a keyboard are over. The new modes of user interaction are aided in part by this research will investigate how advancements in Artificial Intelligence and Machine Learning technology are being used to improve many services. In particular, it will look at the development of google assistants as a channel for information distribution. This project is aimed to implement an android-based chatbot to assist with Organization basic processes, using google tools such as Dialogflow that uses Natural language processing NLP, Actions on Google and Google Cloud Platform that expose artificial intelligence and Machine Learning methods such as natural language understanding. Allowing users to interact with the google assistant using natural language as input and to train the chatbot i.e. google assistant using Dialogflow Machine learning tool and some appropriate methods so it will be able to generate a dynamic response. The chatbot will allow users to view all their personal academic information, schedule meetings with higher officials, automating the organization process and organization resources information all from within the chatbot i.e. Google Assistant. This project uses the OAuth authentication for security purpose. The Dialogflow helps to understand the users query by using machine learning algorithms. By using this google assistant we are going to use the Cloud Vision API for advancement. We will use Dialogflow as key part to develop Google assistant.
Automated Fundoscopy for Glaucoma Detection and Classifiction
Authors:   Persuing Ph.D Department of Computer Science and Engineering, Dr. B. A. M. University Aurangabad, India., Hussain* Syed Akhter , R.R. Deshmukh ,   Ph.D Department of Computer Science and Engineering, Dr. B. A. M. University Aurangabad, India.
Published: February 2020

glaucoma is leading chronic eye dieses in the world that leads to vision lost. The main cause of Glaucoma is intrinsic deterioration of the optic nerve which leads high intraocular pressure of the eye. Manually detection of glaucoma is tedious and costly. In our work we are providing automated system for glaucoma detection which is based on fully connected conditional random filed (FC-CRF) model, it works on long and thin structure. Conditional random filed provide a platform for structure prediction. Taking benefit of current results, validating assumption and parameters of our system learned automatically with the help of structured output support vector machine. Our system trained both quantitatively and qualitatively on publically existing data sets: DRIVE, STARE, CHASEDB1 and HRF. Once we obtain segmentation results further classification is done by SVM and K-NN classifier results of our proposed system is analyzed with gold standard labeling provided each data sets in terms of TP,TN,FP and FN. importance of our proposed system is it works for enlarge structure which can provide a platform to other biomedical and biological applications.
Design of Penta-Band Antenna for Concurrent Multiband Single Chain Radio Receiver
Authors:   Assistant Professor, Department of Electronics, Kumari* Mrs.D. Lalitha , Hemavardhan Mr.S. ,   Department of Electronics and Communication Engineering, JNTUA College of Engineering (Autonomous) Ananthapuramu,, Andhra Pradesh
Published: February 2020

In this paper, penta-band antenna is presented for concurrent, multiband, and single chain radio receivers. The antenna is manufactured on a 50 × 100 mm FR4 printed circuit board, and is able to provide five concurrent, operating bands covering a frequency range from 2 to 6 GHz. The antenna bandwidth can be increased up to 280 MHz. Using hexahedral mesh the slot antenna design we can achieve more accurate concurrent bands. These five bands are having larger bandwidth than conventional antennas. Using CM-FARAD (Concurrent Multiband Frequency Agile Radio) architecture we design the antenna for achieving concurrent multiband and single chain radio receiver. Using five slots we achieve our five concurrent bands that operate over wide bands which operate at 2.4,3.0,3,7,4.5,5.6 GHz respectively.
Big Five Personality Traits and Their Impact on Job Performance of Managers in FMCG Sector
Authors:   Assistant Professor, Dept of Management, CGC, Landran, Mohali, Chandigarh, India, Gupta* Dr. Neema , Mr. Asharuddin  ,   Assistant Professor, Dept of Management, IMS, Roorkee, India.
Published: February 2020

Personality of a manager is a very crucial factor to get success in his career and leading the high level of job performance in all departments of every organization. Appropriate personality of a manager always helps him to achieve the goal of the organisation. The prime objective of the research is to determine impact of five traits of personality on managers' performance at the workplace particularly in FMCG Sector. A questionnaire is made, comprising three stages where questions in first stage are based on respondent’s personal details, questions in stage second are framed for items of big five personality traits, which helps the managers to perform their jobs within a stipulated time period, part three for Job Performance. 400 managers of FMCG Sector are considered to collect the responses. Out of 400 managers, questionnaire was properly filled by 350 managers. Collection of data was done through interviews, questionnaire and www-link. Analysis of data was done through descriptive statistics i.e. measurement of percentage, mean and standard deviation, Correlation, regression technique and reliability analysis. This research study has made an attempt to study the big five personality traits and their impact on manager’s job performance. The result of the research shows that the manager’s personality traits affect their job performance in the organization.
A Proposed Supply Chain Model of Blockchain Technology-Based in Automotive Component Industry
Authors:   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia., Surjandy*  , Meyliana*  ,   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia., Warnars Harco Leslie Hendric Spits ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia., Abdurachman Edi ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia.
Published: February 2020

The automotive industry has rapidly developed and overrun the market for the last decade. In this context, automotive components or parts are essential factors to manufacture automotive products. Undoubtedly, the supplier that provides the automotive components or inbound logistics becomes a critical party of Supply Chain Management activity. In this frame, the failure of inbound logistics potentially creates a severe implication to the automotive industry in terms of the financial effects, company image to damage the customer. Arguably, the supplier activities encompass the continuity of automotive components delivery, on-time delivery schedule, supplier and customer relationship maintenance, and financial operation. In this point, the problem identifies the distribution of automotive components and stock maintenance. Therefore, this qualitative research is essential to explore a proposed Blockchain Technology model in Supply Chain Management (BlcSCM), especially in the automotive component industry. On that basis, design science research methodology facilitates to create a proposed model, Leavitt Diamond. In this model, the essential factors (people, process, technology, and organization) merges with supply chain management. Finally, it refers to the Blockchain Technology model in Supply Chain Management.
GPU Accelerated TOPSIS Algorithm for QoS Aware Web Service Selection
Authors:   PG Student, Department of Computer Science and Engineering, PSG College of Technology, Coimbatore, Tamil Nadu, India., Lakshmi M Sri Yoga , Karpagam DrG R ,   Professor and Associate Head, Department of Computer Science and Engineering, PSG College of Technology, Coimbatore, Tamil Nadu, India., Swetha N G ,   Assistant Professor, Department of Computer Science and Engineering, PSG College of Technology, Coimbatore, Tamil Nadu, India.
Published: February 2020

Web service selection is the method of selecting the best web service based on non-functional aspects. With proliferation of web services, there is a demand for efficient approaches to select the best web services from the available pool. A number of Multi criteria decision making approaches are adopted for QoS aware web service selection. The exploitation in web service deployment increases the computation power in executing web service selection. Graphics processing unit (GPU) can achieve reduction in computation power by performing multiple tasks at a time. The independent tasks in the algorithm are parallelized by utilizing GPU in order to achieve more efficiency. This works proves that GPU acceleration can be utilized in parallelizing TOPSIS algorithm for web service selection.
A Novel Collaborative PKI Framework in Public Cloud
Authors:   Research Scholar, Bharathidasan University, Engineering and Applications, School of Computer Science, Tiruchirappalli, India., J* Ashok Kumar , Ganapathy Dr. Gopinath ,   Registrar, Bharathidasan University, Tiruchirappalli, India.
Published: February 2020

Public Key Infrastructure (PKI) is a repository and management system for digital certificates. It can be the centralized or decentralized PKI system for issuing, managing, storing, verifying and distributing the key pairs, public key and private key, or one of the public key certificates. In public cloud, Data Owners and Data Users can upload or download their encrypted data along with services, resources and infrastructures in the hands of Cloud Service Provider. It creates the big security concerns in terms of data security and data privacy for the user and Cloud Service Provider is the sole responsibility to provide the Access Control Policy to restrict the cloud services centrally. With the emergence of cloud computing, Public Key Infrastructure (PKI) technology enables the secure communications in between systems. X.509 certificates are based on the centralized PKI and suffers so many issues in the public cloud. Gnu Privacy Guard (GnuPG) certificates are based on the decentralized PKI system. Imagine a world with decentralized PKI system in which each Kerberos is also a Central Authority for issuing certificates to the system or users. This proposed collaborative PKI framework describes the use of PKI in public cloud, proposed algorithm for Kerberos SSO token and provides acquisition of Public Key certificates from the client via Kerberized Central Authorities.
K-Means Cluster Based Oversampling Algorithm for Imbalanced Data Classification
Authors:   Research Scholar, Madurai Kamaraj University, Madurai, Tamil Nadu, India,, Subbulaxmi* Ms. S. Santha , Arumugam Dr. G. ,   Professor & Head of the Department (Retd.), Department of Computer Science, Madurai Kamaraj University, Madurai, Tamil Nadu, India
Published: February 2020

Imbalanced data classification problems endeavor to find a dependent variable in a skewed data distribution. Imbalanced data classification problems present in many application areas like, medical disease diagnosis, risk management, fault-detection, etc. It is a challenging problem in the field of machine learning and data mining. In this paper, K-Means cluster based oversampling algorithm is proposed to solve the imbalanced data classification problem. The experimental results show that the proposed algorithm outperforms the existing oversampling algorithms of previous studies.
Study of porosity and structure of wearresistant
powder coatings with modifying additives
Authors: Struchkov N.F. , Vinokurov G.G. , Kychkin A.K.
Published: February 2020

Researches of open porosity and structure of the electroarc metallization coatings received from powder wire
with the modifying additives in the form of the complex concentrator of Tomtorsky field rare-earth elements are
conducted. It is established that open porosity depend on features of formation of layers which the sizes of refractory
components of powder charge of wire significantly affect. It is shown that the porosity of layer on smooth
substrate is close to zero, with removal from substrate the average porosity of coating layers increases.
Keywords: electroarc metallization coating, rare-earth metals, open porosity, hydrostatic weighing, microstructure,
Markov process.
Code Blue Emergencies: A Team Task Analysis and Educational Initiative
Authors: Price James W. , Applegarth Oliver , Vu Mark , Price John R.
Published: February 2020

Introduction: The objective of this study was to identify factors that have a positive or negative influence on resuscitation team performance during emergencies in the operating room (OR) and post-operative recovery unit (PAR) at a major Canadian teaching hospital. This information was then used to implement a team training program for code blue emergencies. Methods: In 2009/10, all OR and PAR nurses and 19 anesthesiologists at Vancouver General Hospital (VGH) were invited to complete an anonymous, 10 minute written questionnaire regarding their code blue experience. Survey questions were devised by 10 recovery room and operation room nurses as well as 5 anesthesiologists representing 4 different hospitals in British Columbia. Three iterations of the survey were reviewed by a pilot group of nurses and anesthesiologists and their feedback was integrated into the final version of the survey. Results: Both nursing staff (n = 49) and anesthesiologists (n = 19) supported code blue training and believed that team training would improve patient outcome. Nurses noted that it was often difficult to identify the leader of the resuscitation team. Both nursing staff and anesthesiologists strongly agreed that too many people attending the code blue with no assigned role hindered team performance. Conclusion: Identifiable leadership and clear communication of roles were identified as keys to resuscitation team functioning. Decreasing the number of people attending code blue emergencies with no specific role, increased access to mock code blue training, and debriefing after crises were all identified as areas requiring improvement. Initial team training exercises have been well received by staff.
The emotional intelligence of pediatric residents – a descriptive cross-sectional study
Authors: McLeod Scott Alexander , Sonnenberg Lyn K.
Published: February 2020

Background: Emotional Intelligence (EI) is a type of social intelligence.  Excellent scores are achieved by displaying high levels of empathy in interpersonal relationships, strong skills in managing stressful situations as well as other personal competencies. Many of the social competencies that EI describes may have a direct impact on patient care. The objective of this study was to describe EI of pediatric residents and to identify if there are EI skills that should be selected for targeted intervention.Methods: This was a cross-sectional study administering the EQ-i 2.0© psychometric instrument to pediatric residents at the University of Alberta.Results: Thirty-five residents completed the EQ-i 2.0© (100% response rate). Their overall EI score was not significantly different than a normative group of college-educated professionals. Residents had relative strengths in the subcategories of Emotional expression, Interpersonal Relationships, Empathy, and Impulse Control (all p<0.05).  Areas of relative weakness were in the subcategories of Stress Tolerance, Assertiveness, Independence, and Problem Solving (all p<0.05).  Conclusion: The EI of pediatric residents is consistent with that of other professionals. Educational interventions may be useful in the areas of weakness to enhance the physician-patient relationship.
Key challenges for implementing a Canadian-based objective structured clinical examination (OSCE) in a Middle Eastern context
Authors: Wilby Kyle John , Diab Mohammad
Published: February 2020

Globalization of medical education is occurring at a rapid pace and many regions of the world are adapting curricula, teaching methods, and assessment tools from established programs. In the Middle East, the use of Objective Structured Clinical Examinations (OSCEs) is rare. The College of Pharmacy at Qatar University recently partnered with the University of Toronto and the Supreme Council of Health in Qatar to adapt policies and procedures of a Canadian-based OSCE as an exit-from-degree assessment for pharmacy students in Qatar. Despite many cultural and contextual barriers, the OSCE was implemented successfully and is now an integrated component of the pharmacy curriculum. This paper aims to provide insight into the adoption and implementation process by identifying four major cultural and contextual challenges associated with OSCEs: assessment tools, standardized actors, assessor calibration, and standard setting. Proposed solutions to the challenges are also given. Findings are relevant to international programs attempting to adapt OSCEs into their contexts, as well as Canadian programs facing increasing rates of cultural diversity within student and assessor populations.
Systems 1 and 2 thinking processes and cognitive reflection testing in medical students
Authors: Tay Shu Wen , Ryan Paul Macdara , Ryan C Anthony
Published: February 2020

Background: Diagnostic decision-making is made through a combination of Systems 1 (intuition or pattern-recognition) and Systems 2 (analytic) thinking. The purpose of this study was to use the Cognitive Reflection Test (CRT) to evaluate and compare the level of Systems 1 and 2 thinking among medical students in pre-clinical and clinical programs.Methods: The CRT is a three-question test designed to measure the ability of respondents to activate metacognitive processes and switch to System 2 (analytic) thinking where System 1 (intuitive) thinking would lead them astray. Each CRT question has a correct analytical (System 2) answer and an incorrect intuitive (System 1) answer. A group of medical students in Years 2 & 3 (pre-clinical) and Years 4 (in clinical practice) of a 5-year medical degree were studied.Results: Ten percent (13/128) of students had the intuitive answers to the three questions (suggesting they generally relied on System 1 thinking) while almost half (44%) answered all three correctly (indicating full analytical, System 2 thinking). Only 3-13% had incorrect answers (i.e. that were neither the analytical nor the intuitive responses). Non-native English speaking students (n = 11) had a lower mean number of correct answers compared to native English speakers (n = 117: 1.0 s 2.12 respectfully: p < 0.01). As students progressed through questions 1 to 3, the percentage of correct System 2 answers increased and the percentage of intuitive answers decreased in both the pre-clinical and clinical students. Conclusions: Up to half of the medical students demonstrated full or partial reliance on System 1 (intuitive) thinking in response to these analytical questions. While their CRT performance has no claims to make as to their future expertise as clinicians, the test may be used in helping students to understand the importance of awareness and regulation of their thinking processes in clinical practice.
Decolonization in health professions education: reflections on teaching through a transgressive pedagogy
Authors: Rodney Ruth
Published: February 2020

Background: Canadian health educators travel to the global south to provide expertise in health education.  Considering the history of relations between the north and south, educators and healthcare providers from Canada should critically examine their practices and consider non-colonizing ways to relate to their Southern colleagues.Methods: Using her experience as a teacher with the Toronto Addis Ababa Academic Collaboration in Nursing, the author explored issues of identity and representation as a registered nurse and PhD candidate teaching in Ethiopia.  Transgressive pedagogy was used to question how her personal, professional, and institutional identities impacted her role as a teacher.Results: Thinking and acting transgressively can decrease colonizing relations by acknowledging boundaries and limitations within present ideas of teaching and global health work and help moving beyond them.  The act of being transgressive begins with a deeper understanding and consciousness of who we are as people and as educators.Conclusion: Working responsibly in the global south means being critical about historical relations and transparent about one’s own history and desires for teaching abroad.
The Clinical Ultrasonography Elective in Clerkship (CUSEC): A pilot elective for senior clerkship students at the University of Saskatchewan
Authors: Olszynski Paul , Russell Mackenzie , Neufeld Adam , Malin Greg
Published: February 2020

We created a clinical ultrasound (CUS) elective in clerkship, which gave medical students the opportunity to enhance their knowledge and technical skills while refining their CUS-related clinical decision making. This elective uniquely allowed medical students to integrate their CUS knowledge and skills into real patient care within the clinical environment (discipline) of their choice. As such, beyond supporting increasing technical competence, students learned to advocate for appropriate use of CUS, an important skill for trainees to develop.
ANÁLISE EXPERIMENTAL E TEÓRICA EM VIGAS DE CONCRETO ARMADO COM FUROS NA ALMA
Authors: Moreira Maria Araujo , Moreira José Fabiano Araujo , Gomes Thiago Andrade , Farias Francisco Leandro Fernandes , Rodrigues Maycon Douglas Alves , Silva Ricardo José Carvalho
Published: February 2020

Furos em vigas são comuns em obras de engenharia, para passagem de tubulações elétricas, hidráulicas, entre outras. Este estudo objetiva verificar se a presença de furos em diferentes localizações e quantidades diminui a resistência mecânica de vigas de concreto armado e analisar as recomendações normativas impostas pela Norma Brasileira de Projeto de Estruturas de Concreto – NBR 6118 (2014). Como orienta a referida Norma, o furo deve ser moldado antes da concretagem. Acontece que em muitos casos o furo é feito depois de a viga estar concretada, tendo que ser aberto com auxílio de equipamento perfurante, com a viga sendo vibrada no ato da perfuração. Há corte da armadura, podendo comprometer a resistência da peça. Para este estudo foram ensaiadas cinco vigas. Com base nesses ensaios, concluiu-se que a presença de furos em diferentes localizações e quantidades influencia na resistência mecânica e no modo de ruptura de vigas. Além disso pôde-se perceber que a NBR 6118 (2014) é satisfatória para o dimensionamento de furos em vigas. A Norma, porém, generaliza as condições para todas as regiões das vigas, tornando-a conservadora em relação à distância entre as faces dos furos e o seccionamento das armaduras em região de flexão pura.
O SOFTWARE TRACKER: UMA FERRAMENTA EDUCACIONAL PARA POTENCIALIZAR O ENSINO DE FÍSICA
Authors: Cordeiro Antônio Luciano , Rodrigues Francisco Leandro de Oliveira
Published: February 2020

Os laboratórios didáticos de Ciências, tanto no ensino médio quanto no ensino superior, não apresentam estrutura suficiente para a realização de muitas práticas experimentais no ensino de Física. Nessa perspectiva, esse trabalho apresenta o software Tracker como uma ferramenta alternativa para a aquisição de dados nos laboratórios didáticos de Física. Ele possibilita que os estudantes sejam sujeitos centrais e ativos das práticas experimentais pelo o fato de filmarem os eventos físicos para obtenção e manipulação dos dados. Foram realizadas e filmadas via telefone celular duas práticas experimentais, a do pêndulo simples e do sistema massa-mola. Os vídeos foram analizads pelos alunos da Escola de Ensino Médio Professora Theolina de Muryllo Zacaz, onde foi aplicado um questionário para verificar o processo de ensino-parendizagem. Foi verificado que o Tracker se apresenta como uma ferramenta potencializadora no ensino de Física, onde os pontos que se destacam nesse aspecto são a fácil aquisição de dados, o simples manuseio e a flexibilidade de uso.
PENGUKURAN FISIK KIMIA PERAIRAN PADA BAGIAN HULU HINGGA HILIR SUNGAI PERCUT
Authors: Safitri Riri
Published: February 2020

Penelitian mengenai “Pengukuran Fisik Kimia Perairan Pada Bagian Hulu Hingga Hilir Sungai Percut”. Telah dilakukan pada bulan maret-april 2014 bertujuan untuk mengetahui nilai parameter fisik kimia perairan pada bagian hulu hingga hilir sungai Percut. Metode yang digunakan dalam penentuan lokasi sampling adalah “Purposive Random Sampling”. Sampel air yang diteliti merupakan air yang berasal dari bagian hulu hingga hilir sungai Percut. Dilakukan pengukuran parameter fisik-kimia pada sampel air berupa pengukuran suhu, pH, kecepatan arus, oksigen terlarut (DO), Biochemical Oxygen Demand (BOD5), Chemical Oxygen Demand (COD) dan kandungan Pb (Timbal). Hasil penelitian menunjukkan bahwa nilai skor parameter fisik kimia air pada lokasi 1, 3 sampai 6 berdasarkan metode storet yaitu sebesar 0 yang artinya faktor fisik kimia air pada stasiun tersebut memenuhi syarat baku mutu kelas 3 berdasarkan PP No. 82 Tahun 2001 tentang pengelolaan kualitas dan pengendalian pencemaran air. Selanjutnya berdasarkan ketentuan sistem storet tentang kualitas air Percut pada lokasi 1, 3 sampai 6 tergolong kelas A yaitu kategori perairan yang memiliki kualitas air yang baik sekali. Sedangkan lokasi 2 memiliki nilai skor pada COD berdasarkan metode storet yaitu sebesar -10 yang artinya kandungan COD pada stasiun tersebut telah melampaui syarat baku mutu kelas 3 berdasarkan PP No. 82 Tahun 2001 tentang pengelolaan kualitas dan pengendalian pencemaran air. Selanjutnya berdasarkan ketentuan sistem storet tentang kualitas air Percut pada lokasi 2 tergolong kelas B yaitu kategori perairan yang memiliki kualitas air yang baik
Meningkatkan Hasil Belajar Siswa Kelas VIII dengan Metode Guided Discovery Learning di MTs Islamiyah Kotapinang
Authors: Rohani Rohani , Rahma Indah Fitria , Hrp Nurlina Ariani
Published: February 2020

Penelitian ini bertujuan untuk mengetahui upaya meningkatkan hasil belajar siswa dengan metode guided discovery learning pada materi lingkaran kelas VIII MTs Islamiyah Kotapinang. Penelitian ini merupakan jenis Penelitian Tindakan Kelas. Objek Penelitian ini adalah upaya meningkatkan hasil belajar siswa dengan metode guided discovery learning pada materi lingkaran dan subjek penelitian ini adalah siswa kelas VIII MTs Swasta Islamiyah Kotapinang yang berjumlah 34 siswa. Hasil belajar matematika sebelum diterapkan metode guided discovery learning masih rendah karena dari 34 siswa yang mengikuti tes belajar awal, hanya 14 siswa yang tuntas (41,18 %). Setelah diterapkan metode guided discovery learning hasil belajar siswa mengalami peningkatan. Berdasarkan tes hasil belajar siklus I, diperoleh nilai rata-rata kelas 56,47 dengan 27 siswa (79,41 %) mencapai ketuntasan belajar dan 7 siswa (20,59) belum mencapai ketuntasan belajar. Dengan melihat persentase klasikal belum mencapai ≥ 85 % maka siklus I belum mencapai ketuntasa secara klasikal. Untuk memperbaiki pelaksanaan siklus I dilaksanakan tindakan siklus II. Pada tes hasil belajar siklus II nilai rata-rata kelas 73,24 dengan 31 siswa (91,18 %) mencapai ketuntasa belajar sedangkan 3 siswa (8,82 %) belum mencapai ketuntasan belajar. Dengan melihat persentase klasikal telah mencapai ≥ 85 % maka kelas ini dapat dinyatakan tuntas secara klasikal. Berdasarkan hasil yang diperoleh, dapat ditarik kesimpulan bahwa upaya meningkatkan hasil belajar siswa dengan metode guided discovery learning dapat meningkatkan hasil belajar matematika.
Reemplazo articular de cadera en paciente con tumor de células gigantes
Authors: Pretel-Nazario Carlos Martin , Adrianzén-Hernani Mauro Samuel
Published: February 2020

El tumor óseo de células gigantes (TCG) representa el 5 % de los tumores óseos primarios. Por lo general son benignos, pero de comportamiento impredecible debido a su potencial biológico de malignidad, caracterizado por agresividad y recurrencia local, metástasis y transformación maligna. Se presenta caso de una paciente mujer de 44 años que acude con una fractura patológica transcervical izquierda por tumor de células gigantes, diagnosticada por biopsia; se descarta metástasis y se trató con resección femoral proximal y artroplastia de cadera izquierda, resultando en una evolución favorable.
Reasons for satisfaction and dissatisfaction of bank customers. Study from Slovakia and the Czech republic.
Authors: Belás Jaroslav , Gabčová Lenka
Published: February 2020

The satisfaction of bank customers presents an important area of building long-term relationships with the client, which significantly determines the financial performance of commercial banks through successful business. This article presents the current situation in the banking sector in the Czech Republic and Slovakia. The aim of this article is to measure the customer satisfaction, its development in time, then to determine the main satisfaction and dissatisfaction attributes and finally to compare the situation in the Czech Republic and Slovakia. To measure all these elements, standard statistical methods have been used. The observed overall satisfaction rate of the Czech and Slovak clients is very similar. The main reason for the satisfaction of bank customers in both countries is ability to use electronic banking and most important reason for their dissatisfaction is long-term high prices of products and services.
Does evidence challenge the DSGE model?
Authors: Araújo Tanya , Terlica Sofia , Eleutério Samuel , Louçã Francisco
Published: February 2020

DSGE are for a time the favorite models in the simulation of monetary policies at the central banks. Two of its basic assumptions are discussed in this paper: (a) the absence of endogenous nonlinearities and the exogenous nature of shocks and (b) the persistence of or the return to equilibrium after a shock, or the absence of dynamics. Our analysis of complex financial markets, using historical data of S&P500, suggests otherwise that financial regimes endogenously change and that equilibrium is an artifact.
Entrepreneurial Orientation In The Segment Of Micro-Enterprises: Evidence From Czech Republic
Authors: Civelek Mehmed , Rahman Ashiqur , Kozubíková Ludmila
Published: February 2020

The objective of this comprehensive research is to identify and explore the dissimilarities of gender and education level of entrepreneurs and enterprises’ age with regards to entrepreneurial orientation (EO) in the segment of micro enterprises. All of the dimensions of EO are included such as innovativeness, risk taking, proactiveness, competitive aggressiveness and autonomy for our analysis. The data that we have used for this study, was collected by a structured questionnaire during 2015 in Czech Republic, and consists of 1141 small and medium-sized enterprises (SMEs) and 740 of them are defined as micro enterprises by using the definition of European Commission. The empirical results of our study indicates a that university educated micro-entrepreneurs are more innovative and autonomous comparing with lower educated micro-entrepreneurs and also younger micro firms are more innovative, risk taker and proactive than the older micro firms. However, our results do not show any significant differences between men and women in relation to the all components of EO.  Our result can be explained by having higher percentage of university educated women micro entrepreneurs comparing with their men counterparts and education may have a substitution effect on the gender based differences in the segment of micro firms.
The Most Important Attributes Of Entrepreneurs. Case Study Of The Environment Of Czech SMEs
Authors: Belás Jaroslav , Ključnikov Aleksandr
Published: February 2020

The aim of this paper was to define and quantify the most important attributes of entrepreneurs in the segment of small and medium-sized enterprises. The partial objective was to compare the opinions of the entrepreneurs in relation to their gender, age and level of education. Scientific questions, defined in this paper, were verified through empirical research conducted in the Czech Republic in 2015 on a sample of 1,141 entrepreneurs. In our research, we found that entrepreneurs consider expertise, responsibility and perseverance to be the most important personal characteristics and skills. Propensity to risk and decisiveness are ranked right after them. The same group of three most important attributes is presented by all defined groups of entrepreneurs, which means that the assessment of the importance of these attributes remains the same regardless of gender, age and level of education of the entrepreneur. It is interesting that the weight of the expertise increases with the age of the entrepreneur. This trend is caused by the fact that men significantly more intensively presented this opinion. When evaluating the attitudes of entrepreneurs to other characteristics and skills no significant differences in relation to gender, age and education were identified.
The Comparison Of Competitive Balance Between Super Rugby (Sanzar) And English Premiership Rugby: A Case Study From 1996-2014 Season Or Not Attractive – No People – No Money
Authors: Kuchar Robert , Andy Martin
Published: February 2020

Most sports are attractive because they are almost unpredictable. The more the competitiveness of league teams, the harder to predict the games and as a result, that league will be more attractive. Message is: more attractive leagues= bigger audience= more attractive for sponsorship= more money in sport. Competitive balance (CB) refers to the balance in sport capabilities of teams. The aim of this paper was to compare the competitive balance between Super Rugby league named SANZAR, which consist of three nations (New Zealand, Australia and South Africa) and English Premiership Rugby League in 1996-2014 seasons and compare them. The data were secondary and collected from the final tables. It was used five models in this study: the three-club and five-club concentration ratio (C3 and C5) and C3/C5 index of competitive balance (C3ICB/C5ICB) were used to analyse the data. The less the index C3ICB/C5ICB and C3/C5 are, the more competitive balance is, and conversely. Standard deviation of game results, the ratio of actual and ideal standard deviation wins, numbers of winners and a placement in the k-th place. The results showed that the Salary cap in Premiership League does not work very effectively and the competitive balance is in last few seasons still worst and worst. Super Rugby has mirror position to Premiership. Last few years are the competitive balance on the right track. Comparison result is for Super Rugby strategy with involving more teams to the league.
The use of ICT platforms to promote knowledge exchange in project-based organisations
Authors: Priyono Anjar
Published: February 2020

This study aims to investigate the use of information and communication technology (ICT) to support knowledge exchange in project-based organisations. The primary ICT tool investigated in this research is WhatsApp, a messaging application that has been widely used since its introduction. An ethnographic case study method was utilised to analyse qualitative data collected from interviews and focus group discussions. Three projects in an Indonesian university with a duration ranging from 8 months to 2 years were examined as object of investigations. Broadly, the findings show that ICT tools are generally useful in supporting knowledge exchange, which ultimately positively affects project performance. The project teams relied on WhatsApp for the success of the projects. Although face-to-face meetings were rare, team communication was highly intensive, supported by WhatsApp. In addition, managers are encouraged to promote knowledge exchange between team members. Through knowledge exchange, there will be knowledge development, which facilitates the invention of new techniques and methods for promoting project success. The most prominent findings are presented using direct quotations to provide first hand insight from the field. At the end of the paper, recommendations regarding what project managers should do during and after the project has been completed are presented. The recommendations are classified based on the knowledge management life cycle, representing a structured method to manage knowledge in project-based organisations.
Repayment plan as essential instrument in personal bankruptcy in the Czech republic
Authors: Randáková Monika , Bokšová Jirina
Published: February 2020

It is possible to undergo a personal bankruptcy in the Czech Republic since 2008. The number of personal bankruptcies has been steadily rising in the country since the arrival of economic crisis in 2009. Because of that it is necessary to examine individuals who had undergone personal bankruptcy and by whom has been the process of personal bankruptcy already completed. Submitted research concerns debt relief of individuals who applied for personal bankruptcy in the time period between 1.1.2008 and 31.12.2011 and whose process of personal bankruptcy was declared as successfully completed until the first quarter of 2015. Until the end of the research this applied to 1.352 individuals. The main aim of the research was to find out the percentage of debt repaid to creditors by each individual with regard to their age. The research has been focused on dividing the sample of 1.352 individuals to different categories according to their age, source of their income and amount of their income. Particular debtors who applied for a personal bankruptcy, have been divided into four age groups. Each individual was afterwards analysed for the source of their income, from which the debts were repaid. Possible sources of income were divided into eleven groups. The researched sample of individuals was consequently divided according to the overall amount of their debt into five categories.
Social Customer Relationship Management
Authors: Paliouras Konstantinos , Siakas Kerstin V.
Published: February 2020

Social Customer Relationships Management (CRM) is a current business trend providing new channels of two-way communication with customers through social media sites, such as Facebook, Twitter etc. Social CRM enables companies to interact in an easy and contemporary way directly with customers as well as to track customer interactions and their social influence. In this paper we examine the importance of CRM, e-CRM and Social CRM for businesses. We provide perspectives on objectives and types of CRM, the working cycle of CRM, the stages of a CRM Strategy and technology tools that are used in CRM. Social CRM is in particularly analyzed, since this new trend requires active engagement by customers and other stakeholders. The engagement process is essential to successful Social CRM and to successful social business practices. Finally, we describe experiences from three family businesses that introduced Social CRM as a result of a project carried out as an assignment in the ‘Social Media Networking’ module of the MSc course in ‘Web Intelligence’ at the Department of Informatics of Alexander Technological Educational Institute of Thessaloniki. The assignment of the groups was to create a Social CRM Strategy in collaboration with a company. This study is a follow-up of the outcome of the projects carried out in the autumn semester 2014 and 2015. The results show that all three companies consider that Social CRM is an excellent tool for obtaining real time valuable data about customers and a cheap way to reach them.
Empirical Evidence of Entrepreneurial Competencies and Firm Performance: a Study of Women Entrepreneurs of Nigeria
Authors: Mohammed Kabir , Ibrahim Hazril Izwar , Shah Khairul Anuar Mohammad
Published: February 2020

The purpose of current study is to investigate the effects of entrepreneurial competencies on firm performance of businesses owned by Nigerian women entrepreneurs. The 200 respondents of this study are women entrepreneurs operating micro-business units in Kaduna state, Nigeria. Survey questions was used to collect data. The study utilises SPSS and SmartPLS 2.0 to analyse the data. The findings indicated that strategic, opportunity and organizing competencies significantly affect the firm performance of women entrepreneurs in Nigeria.
THE FACTORS AFFECTING ENTREPRENEURSHIP INTENTION
Authors: HERDJIONO Irine , PUSPA Yeni Hastin , MAULANY Gerzon , ALDY Benedictus Elnath
Published: February 2020

This research examined the effects of family environment, self concept, motivation and risk taking propensity on entrepreneurship intention in Merauke, the border area of Indonesia. Conducted by collecting data from 382 college student through questionnaire.  This study applied linear regression analysis. The results showed family environment, self concept, motivation and risk taking propensity significantly affected entrepreneurship intention. The study implies that individual factor such as self-concept, motivation, and risk taking propensity together with social factor, family environment affect entrepreneurial intention.
THE QUALITY OF MACRO-ENVIRONMENT AND BUSINESS ENVIRONMENT AND UNIVERSITY STUDENT ENTREPRENEURSHIP - COMPARISON OF THE CZECH AND THE SLOVAK REPUBLIC
Authors: Dvorský Ján , Čepel Martin , Sopková Gabriela , Kotásková Anna
Published: February 2020

The aim of this paper was to examine university students’ propensity for entrepreneurship in the context of the evaluation of the quality of macro-environment and business environment. A part of this aim was a comparison of defined factors in the Czech and the Slovak Republic. In relation with the research aim, a survey-based research was conducted with university students in the Czech Republic and Slovakia. 409 students in the Czech Republic and 568 students in Slovakia were approached during this research. To verify the defined scientific hypotheses, the regression analysis was used. The research results brought interesting findings, namely that the present macroeconomic environment does not prevent students from starting their own business, and that the present level of basic macroeconomic factors (GDP, employment, inflation) determine the students’ propensity for entrepreneurship in both countries. In Slovak Republic, the administrative workload is seen by the students as a factor discouraging them from entrepreneurship after graduating from college. The students feel that the conditions for doing business have improved in the last five years. Students in the Czech Republic think that the conditions for doing business have improved over the past five years, and consider the business environment to be reasonably risky and of good quality.
Los siete saberes necesarios para la educación del futuro
Authors: Gallegos Miguel
Published: February 2020

Obra reseñada:

Morin, Edgar. (2002). Los siete saberes necesarios para la educación del futuro. Buenos Aires: Nueva Visión.
Competitive intelligence as a game changer for Africa’s competitiveness in the global economy
Authors: Maune Alexander
Published: February 2020

This article presents a “competitiveness intelligence” conceptual framework developed from a literature review for adaptation by African countries to improve their competitiveness in the global economy. The role of competitive intelligence in national competitiveness has been shrouded with a lot of controversy in this era of trade liberalisation, globalisation and the fourth industrial revolution. We see Africa’s poor performance in the global competitiveness rankings. Research findings, however, show a positive nexus between competitive intelligence and competitiveness, though not much is known pertaining to Africa. The presented conceptual framework will, however, act as a catalyst for the adoption of competitive intelligence by African countries to improve their performance in the global economy. This article is of great importance to policymakers, researchers and academia. Furthermore, given the history and importance of competitive intelligence in economic development, the conceptual framework has the potential to inspire many African countries through subsequent adaptions.
Construct the Educational Training Model of the Taiwanese Bakery Industry by using Consistent Fuzzy Preference Relation Analytic Hierarchy Process
Authors: Hsu Tzu-Kuang , Chen Ming-Xiang , Yeh Ming-Lang , Juang Ying-Shen
Published: February 2020

Whereas Taiwan baking industry is actively participating in large baking competitions, therefore, the more baking talents are in need. However, the good education and training have become urgent issues on the baking industry because of the shortage of qualified technical manpower. The research aim is to build an educational training model for the Taiwan baking industry. We use the research method which is called Consistent Fuzzy Preference Relationship Hierarchy Analysis (CFPR-AHP). CFPR-AHP is a better method than traditional AHP because it could solve the inconsistency of AHP and reduce the questionnaire burden of the respondents. The results are from seven practical experts with an average of 35.2 years of working experiences who have verified the simulation cases and have evaluated the applicability of the model. Also, five levels and 20 evaluation items have been established. The results show that the baking industry training model is composed of creativity, cultural awareness and teaching staff, as well as originality, ethics of mentorship and multiple experiences. The research uses CFPR-AHP such an innovative method to construct the educational training model for Taiwan Baking Industry. It will be helpful for launching the educational training model and also to provide the new training model for the government.
Predictive Model of Passengers Trans Metro Bandung Encouraging Smart Transportation
Authors: Nurviana Nova , Kusumo Ati Sigit , Purwati Hanifah Hani
Published: February 2020

Smart city can be accomplished by merging all components to be smart system. One of significant components is transportation. Everybody moves, everybody need to reach other place safely, efficiency, and comfortably. In order to get smart, we have to analyze the best way to improve capability. One of the best ways is to make predictive model that one may conceive strategies attracting passengers. Using Bayesian dan SVM as comparison will produce best fit model for Trans Metro Bandung passenger data. Better strategy is an emergence needed to produce Trans Metro Bandung better performance because the model predicted there will be no significant growth for Trans Metro Bandung passenger