Oil and gas industry is complex and competitive and its projects are characterized by their importance and complexity. To achieve sustainability, oil and gas firms have to initiate and complete projects to scope, schedule, cost and quality. Hence, efficient Project Management Methodologies (PMMs) play a crucial role in successful project delivery. A conceptual model, adopted from the literature, was used to assess the influence of PMMs on project success. Based on a questionnaire data from 95 project management practitioners within the oil and gas industry in the Kingdom of Bahrain, correlational and regression analyses were used to test the research hypotheses. The quantitative study was backed with 17 semi-structured interviews to obtain in-depth understanding about the organizational PMMs. The major finding of the study revealed that applied PMMs have higher influence on project success in comparison with comprehensive PMMs. The companies in the oil and gas industry in Bahrain need to pay sharper attention to their methodologies and get them evolved with time to achieve higher success rates.
The present study aimed to analyze the interference of different curing conditions on the development of the concrete compressive strength under the perspective of construction management. It is known that the conditions of humidity and temperature are the main factors related to the behavior of the concrete strength, so that modifying these parameters directly affects the material’s behavior and, consequently, construction management. Forty-two specimens of concrete were molded and each 6 specimens were submitted to different temperature and humidity conditions. The first group was oven-cured at a temperature of 100°C. The second and third groups were kept at ambient temperature of 23 ± 2°C being that the latter was submerged in water and the former was exposed to the air humidity. The specimens of groups 4 and 5 were placed in a freezer at 5°C. Group 4 was submerged in water and group 5 was not. The curing of group 6 occurred under submerged condition with water at about 100°C. Group 7, on the other hand, was cured in water vapor. The group submitted to curing at room temperature and submerged condition was the one with the highest compressive strength value, while the ones with the lowest compressive strength were the groups of samples cured in the oven and those submerged at 100°C. The results were compared and tested using statistic methods, which proved that the curing conditions directly affected concrete properties.
This study aims at constructing a microblog influence prediction model and revealing how the user, time, and content features of microblog entries about public health emergencies affect the influence of microblog entries. Microblog entries about the Ebola outbreak are selected as data sets. The BM25 latent Dirichlet allocation model (LDA-BM25) is used to extract topics from the microblog entries. A microblog influence prediction model is proposed by using the random forest method. Results reveal that the proposed model can predict the influence of microblog entries about public health emergencies with a precision rate reaching 88.8%. The individual features that play a role in the influence of microblog entries, as well as their influence tendencies are also analyzed. The proposed microblog influence prediction model consists of user, time, and content features. It makes up the deficiency that content features are often ignored by other microblog influence prediction models. The roles of the three features in the influence of microblog entries are also discussed.
A prevalent belief is that it is advantageous to have surname initials that are placed early in the alphabet (early surname initials) in academic fields in which authors are ordered alphabetically (alphabetic academic fields), because first authors are more visible. However, it is not certain that the advantage is strong enough to affect academic careers. In this paper, the advantage in having such early surname initials is analyzed by using data from 1,345 course catalogs that span a 100 years. We obtained academic titles and surname initials of 19,353 faculty members who appeared 211,816 times in these course catalogs. Two alphabetic academic fields – economics and mathematics – and four other academic fields that are not alphabetic were analyzed. We found that there are some years when faculty members who have early surname initials are more likely to be full professors. However, there are many other years when faculty members who have early surname initials are less likely to be full professors. We also analyzed the career path of each faculty member. Economists who have early surname initials are found to be more likely to become full professors. However, this result is not significant and does not extend to mathematicians.
This paper reports the results of an international survey on research data management (RDM) services in libraries. More than 240 practicing librarians responded to the survey and outlined their roles and levels of preparedness in providing RDM services, challenges their libraries face, and knowledge and skills that they deemed essential to advance the RDM practice. Findings of the study revealed not only a number of location and organizational differences in RDM services and tools provided but also the impact of the level of preparedness and degree of development in RDM roles on the types of RDM services provided. Respondents’ perceptions on both the current challenges and future roles of RDM services were also examined. With a majority of the respondents recognizing the importance of RDM and hoping to receive more training while expressing concerns of lack of bandwidth or capacity in this area, it is clear that, in order to grow RDM services, institutional commitment to resources and training opportunities is crucial. As an emergent profession, data librarians need to be nurtured, mentored, and further trained. The study makes a case for developing a global community of practice where data librarians work together, exchange information, help one another grow, and strive to advance RDM practice around the world.
Internationalization is important for research quality and for specialization on new themes in the social sciences and humanities (SSH). Interaction with society, however, is just as important in these areas of research for realizing the ultimate aims of knowledge creation. This article demonstrates how the heterogenous publishing patterns of the SSH may reflect and fulfill both purposes. The limited coverage of the SSH in Scopus and Web of Science is discussed along with ideas about how to achieve a more complete representation of all the languages and publication types that are actually used in the SSH. A dynamic and empirical concept of balanced multilingualism is introduced to support combined strategies for internationalization and societal interaction. The argument is that all the communication purposes in all different areas of research, and all the languages and publication types needed to fulfill these purposes, should be considered in a holistic manner without exclusions or priorities whenever research in the SSH is evaluated.
Vegetable oil based fuels significantly enable reducing the costs of fuel purchased. CI engine vehicles with rotary and inline injection pump can be fuelled by vegetable oil based fuels instead of being fuelled by diesel. This is very common, since their price is lower in comparison with diesel. The article focuses on the impact of using fuels made from vegetable oil on selected vehicle characteristics in particular conditions. It includes the measurements of the impact of using fuels such as FAME, fresh oil and used oil on the engine smoke opacity, content of selected emissions in the exhaust gases as well as on the engine power and torque’s course. The measurement results are mutually compared with the results measured when using diesel. In order to secure the measurements to be repeatable, they were performed in laboratory at the cylinder test station MAHA MSR 1050. The vehicle tested during its last 100,000 kilometres driven by vegetable oil based fuel has been selected for these measurements. Therefore, by these measurements, it was also possible to assume partially the impact of long-term using aforesaid fuels on selected vehicle characteristics.
The research field of this paper is the area of Thrace, a large geopolitical-cultural unit that was divided – due to political reasons – in three subareas distributed among three different countries: Bulgaria, Turkey and Greece. A dance event that used to take place before the border demarcation but is still performed in the Greek and Turkish Thrace is that of “K’na”, a wedding dance event danced by the people of both border areas, despite of the changes in their magical-religious beliefs and the changes brought by socio-economic and cultural development. In particular, the aim of this paper is the study of the “construction” of the national identity of inhabitants both of Greek and Turkish Thrace, as this is manifested through the dance practice within the wedding event of “K’na”, through the lens of sociocybernetics. Data was gathered through ethnographic method as this is applied to the study of dance, while its interpretation was based on sociocybernetics according to Burke’s identity control theory. From the data analysis, it is showed that the “K’na” dance in Greek and Turkish Thrace constructs and reconstructs the national identity of the people who use them as a response to the messages they receive via the communication with “the national others”. In conclusion, the “construction” of the identity results from a continuous procedure of self-regulation and self-control through a cybernetic sequence of steps.
Document clustering is a problem of automatically grouping similar document into categories based on some similarity metrics. Almost all available data, usually on the web, are unclassified so we need powerful clustering algorithms that work with these types of data. All common search engines return a list of pages relevant to the user query. This list needs to be generated fast and as correct as possible. For this type of problems, because the web pages are unclassified, we need powerful clustering algorithms. In this paper we present a clustering algorithm called DBSCAN – Density-Based Spatial Clustering of Applications with Noise – and its limitations on documents (or web pages) clustering. Documents are represented using the “bag-of-words” representation (word occurrence frequency). For this type o representation usually a lot of algorithms fail. In this paper we use Information Gain as feature selection method and evaluate the DBSCAN algorithm by its capacity to integrate in the clusters all the samples from the dataset.
Even though in many cases the terms of risk and uncertainty are similar, they have to be delimited to understand the meaning of each, individual, as accurately as possible. The two terms are combined in different situations. No matter how well the risk is managed, uncertainty cannot be removed because all possible situations and interdependencies cannot be taken into account. Thus, a source of risk can be considered uncertainty in itself if it is based on poor quality information about the actual internal or external situation of the company. Also, in my conclusion, traditional financial theory distinguishes between systematic risk and particular risk, which reaches the company’s overall risk. Investors can reduce total risk with the two primary risk management instruments, namely diversification and asset allocation.