Miracle-dz/UniFAR-FTUs huggingface dataset:
Improve Reuse of Engineering Knowledge Investigating a Method for Capturing Actionable Knowledge in Manufacturing Engineering

In order to be successful in future product development projects, knowledge needs to be reused effectively. Effective knowledge reuse requires excellent knowledge management methods. This thesis aims to investigate the appropriateness of an existing method for reusing knowledge by testing its suitability in manufacturing engineering at the case company. The purpose is to analyze if specific engineering knowledge can be captured and be made actionable. This actionable knowledge should be both relevant and easy-to-use for the intended knowledge user, who is put in focus with the method. A qualitative approach was applied for finding relevant information, both through interviews with Technical Preparation Engineers (TPE) and a literature review. These results were then analyzed by applying the Engineering Checksheet (ECS) method, and the findings were validated by more interviews. The thesis focused on how the ECS method can generate actionable knowledge, i.e. the knowledge content. The method’s actual implementation format was not explored and is left for future research. The thesis shows that it is possible to capture relevant knowledge by using the ECS method. It also suggests that it is possible to make the captured relevant knowledge easy-to-use. The overall positive response from the validation interviews can be seen as a good indicator for that the ECS method can capture and reformulate current engineering knowledge into actionable knowledge. There exist theories on organizational learning and this thesis’ contribution to research is that it studies the desired characteristics of reusable knowledge. The originality lies in that it was tested in practice, by applying a concrete method. This experience can be valuable for future knowledge management research in order to understand what knowledge to reuse and how to do it in practice.
Genetic diversity and phylogenetic relationship of Iranian indigenous cucurbits investigated by Inter Simple Sequence Repeat (ISSR) markers

Inter Simple Sequence Repeat (ISSR) markers were employed to study the genetic diversity among 30 indigenous species of Iranian cucurbit from five different genera of Cucurbitaceae. Eleven out of seventeen studied primers amplified a total of 283 bands, out of which 263 (92.93%) were polymorphic. The mean Polymorphism Information Content (PIC) was estimated at 0.327. Among the primers, ISSR15 exhibited the highest polymorphic bands and PIC value and was recognized as the most appropriate and discriminating primer to investigate genetic diversity. The results of clustering analysis showed that the least distance was observed between two species of Cucumis L. genus from Mashhad and Sabzevar with a genetic similarity value of 68.34%, while the highest genetic distance was observed between two species of Cucumis L. and Cucurbita L. genera from Dastgerd and Hamadan with a genetic similarity value of 20.71%. Although Cucurbita maxima and Cucurbita maschata were genetically similar, they weren't classified in the same cluster. These results indicated an extensive genetic variation within Iranian Cucumis L. and Cucurbita L. germplasm. The high genetic variability among studied species would be beneficial for selection of a core collection to facilitate germplasm management to be used in cucurbit breeding and conservation programs. The results of the present study confirmed that fingerprinting of cucurbits genotypes for identification purposes could be achieved by the ISSR technique.
Network Dynamic Analysis Method for Project Governance Risk Control

A network dynamic analysis (NDA) method is developed in this paper to reveal the inherent mechanism of project governance risk control, which integrates the method of social network analysis and system dynamics. Specifically, project governance structure was expressed as a social network in which the nodes indicate each stakeholder in the project and the relationships between nodes represent stakeholders’ risk control responsibility for the other party. The method of system dynamics is applied to capture the change of risk factors and the resulting adjustment of network relationships. To show how the NDA method is applied to project governance risk control, a simulation example is given and results indicate valuable theoretical and practical implications.
Globalization and Uncertainty: Earnings Volatility in Sweden, 1985–2003

Earnings volatility has been linked it to economic integration only through contradictory conjectures. We assess globalization’s role by examining volatility trends in manufacturing, private services, and public services. If trade increases uncertainty, volatility trends should differ markedly across industries since manufacturing, in contrast to especially public services, is exposed to international competition. We analyze earnings trajectories in Sweden 1985-2003, a country and period evincing accelerating trade, finding no indications of greater volatility increases in manufacturing.
Data-Driven Dynamic Modeling for Prediction of Molten Iron Silicon Content Using ELM with Self-Feedback

Silicon content ([Si] for short) of the molten metal is an important index reflecting the product quality and thermal status of the blast furnace (BF) ironmaking process. Since the online detection of [Si] is difficult and larger time delay exists in the offline assay procedure, quality modeling is required to achieve online estimation of [Si]. Focusing on this problem, a data-driven dynamic modeling method is proposed using improved extreme learning machine (ELM) with the help of principle component analysis (PCA). First, data-driven PCA is introduced to pick out the most pivotal variables from multitudinous factors to serve as the secondary variables of modeling. Second, a novel data-driven ELM modeling technology with good generalization performance and nonlinear mapping capability is presented by applying a self-feedback structure on traditional ELM. The feedback outputs at previous time together with input variables at different time constitute a dynamic ELM structure which has a storage ability to tackle data in different time and overcomes the limitation of static modeling of traditional ELM. At last, industrial experiments demonstrate that the proposed method has a better modeling and estimating accuracy as well as a faster learning speed when compared with different modeling methods with different model structures.
THE EFFECTS OF ISOLATION, ENCODING STRENGTH AND FEATURE DISTINCTIVENESS ON RECOGNITION AND CATEGORIZATION

Previous research has shown that in recognition tasks, a distinctive feature can increase hit rates and decrease false alarm rates associated with an isolated item in a similarity space. However, this is inconsistent with the prediction of the global activation models, such as the Generalized Context Model. Since it is generally assumed that recognition and categorization operate under the same similarity-based generalization mechanism, a distinctive feature should also affect categorization judgments in a similar manner. However, the effects of feature distinctiveness on categorization has yet to be explored. For this reason, the present paper investigates the effects of feature distinctiveness on recognition and categorization, alongside with the effects of isolation and encoding strength. The results of the experiment suggest that the feature-based distinctiveness effect arises in categorization tasks in a way that is consistent with the mirror effect in recognition tasks. These findings bolster the line of literature that categorization and recognition operate under the same generalization mechanism. THE EFFECTS OF ISOLATION, ENCODING STRENGTH AND FEATURE DISTINCTIVENESS ON RECOGNITION AND CATEGORIZATION
Proposal of a Personalized Web Search Framework for Query Personalization and User Specified Privacy Requirements

Personalized web search (PWS) has demonstrated its effectiveness in improving the quality of various search services on the Internet. However, evidences show that users’ reluctance to disclose their private information during search has become a major barrier for the wide proliferation of PWS. We study privacy protection in PWS applications that model user preferences as hierarchical user profiles. We propose a PWS framework called UPS that can adaptively generalize profiles by queries while respecting user-specified privacy requirements. Our runtime generalization aims at striking a balance between two predictive metrics that evaluate the utility of personalization and the privacy risk of exposing the generalized profile. We present two greedy algorithms, namely GreedyDP and GreedyIL, for runtime generalization. We also provide an online prediction mechanism for deciding whether personalizing a query is beneficial. Extensive experiments demonstrate the effectiveness of our framework. The experimental results also reveal that GreedyIL significantly outperforms GreedyDP in terms of efficiency. KEYWORDS: World Wide Web (WWW); Chi Square Automatic Interaction Detection (CHAID); Nearest Neighbour Method; Rule Induction; Data Visualization; Classification and Regression Trees(CART)
Transformational Leadership and Globalization

The study explores the attitudes of a sample of school principals in a Kuwaiti local authority towards the need for transformational leadership, the use of its behaviours, whether these school leaders are ready to behave in diverse ways or whether there are barriers that prevent them from acting in such a manner. The findings of this study demonstrate that the participants agreed on the need for transformational leadership and had positive attitudes towards its behaviours. Although the participants identified some barriers to the application of this leadership style, the results indicated that the participants were generally ready to promote transformational leadership behaviours.
How does market orientation affect church participation? An empirical examination

Over the recent years, the concept of market orientation has become an attractive avenue for research in marketing. However, despite an array of theories, a systematic framework investigating the role of market orientation in non-profit organizations remains limited. Through the integration of concepts from church participation and marketing literature, the study put forth a comprehensive model that describes the role of market orientation in church participation phenomenon. The study found support for the positive association between ‘perceived market orientation’ and respondents’ extent of participation in church-related activities. Most studies in religious participation observed church participation as initiated by religious antecedents such as beliefs, motives, and valued outcomes, whereas a very limited number of empirical studies have been devoted to examine the role of market orientation in religious participation. The present study aims to contribute to the body of literature in non-profit marketing through an examination of the role of market orientation in encouraging participation. Whereas the term ‘religious participation’ is diverse in nature, the present study focuses on participation in Christian churches as the research context. Consequently, the term ‘church participation’ and ‘religious participation’ is used interchangeably in this article. Theoretical Perspectives Market Orientation Deshpande and Webster (1989) define market orientation as an organisational culture that possesses a set of shared values and beliefs in prioritising the customers in strategic planning. Although still relatively few, there are an increasing number of studies that investigate the role of market orientation in non-profit organisations. A substantial number of studies have been devoted to examine the existence of market orientation (Graham, 1995;Mayfield and Crompton, 1995;Siu and Wilson, 1998;Van der Haart, 1990), antecedents to market orientation (Evans, James and Tomes, 1996;Hayden, 1992;Scrivens, 1987), and the relationship between market orientation and performance (Balabanis, Stables and Phillips, 1997;Bennett, 1998;Caruana, Ramaseshan and Ewing, 1998;Wood and Bhuian, 1993;Wrenn, 1996) in non-profit context. While studies in the subject of market orientation usually involve employees as study participants, the present study examines market orientation from consumer perspective. The examination of market orientation from customer perspective, also known as Perceived Market Orientation (PMO), is still at its infancy in the literature (Krepapa, Berthon, Webb and Pitt, 2003;Steinman, Deshpande and Farley, 2000;Webb, Webster and Krepapa, 2000). This study aims to contribute to the body of knowledge in marketing literature through the application of PMO in non-profit context.
ORIGINAL REPORTS: GLOBAL HEALTH

Reema Fayez Tayyem, PhD; Rana Dajani, PhD; Yousef S. Khader, PhD; Suhad S. Abu-Mweis, PhD; Raja Fatahallah, MSc; Hiba A. Bawadi, PhD Objectives: Diabetes is one of the most prevalent diseases in Jordan. However, little is known about nutrient intakes of minority groups in Jordan with and without diabetes. Our study aimed to examine if the intake of energy, macronutrients and some micronutrients differed between normal and diabetic adults among Circassians and Chechans in Jordan.
Business Model Canvas and Strategies to Develop Biodiesel Industry of PT. XYZ in Order to Implement CPO Supporting Fund Policy

Biodiesel is considered as one of the alternative eco-friendly fuels. Besides, the government also issued policy related to biodiesel that is CPO Supporting Fund (CSF) Policy. The aim of the research is to identify Business model canvas (BMC) biodiesel industry in PT XYZ and to know the strategies to develop business from biodiesel industry in line with the CPO supporting fund policy. The analysis tool used in this research is BMC, SWOT and Quantitative Strategic Planning Matrix (QSPM). The research results in identifying BMC of PT XYZ is customer segment that the company serves in the form of domestic as well international customers. The value the company offers is biodiesel quality that is in accordance with SNI standard and the distribution is at the company’s cost; the relationship built with the customers is by communities and co-creation; the marketing network through stock exchanges and commodity exchanges; the revenue obtained from selling biodiesel and the price difference between biodiesel and solar from BPDPKS; the company’s resources are human resource, raw material resource, and financial resource; the main activities carried out by the company is CPO process to become biodiesel and sale; the company’s partners are GAPKI, BPDPKS and APROBI; the cost structure is operational cost, workers’ salary, and CPO levy fund. Furthermore, the strategy to develop biodiesel industry in line with the rapid increase of competitiveness is to increase the biodiesel production capacity and communication improvement and CRM to improve customers’ service. Keywords: biodiesel, CPO supporting fund (CSF), levy fund, vegetable oil (BBN), business model canvas (BMC)
Three Dimensional Acoustic Shape Sensitivity Analysis by Means of Adjoint Variable Method and Fast Multipole Boundary Element Approach

A fast multipole boundary element approach to the shape sensitivity analysis of three dimensional acoustic wave problems is developed in this study based on the adjoint variable method. The concept of material derivative is employed in the derivation. The Burton-Miller formula which is a linear combination of the conventional and normal derivative boundary integral equations is adopted to cope with the non-uniqueness problem when solving exterior acoustic wave problems. Constant elements are used to discretize the boundary surface so that the stronglyand hyper-singular boundary integrals contained in the formulations can be evaluated explicitly and the numerical process can be performed efficiently. Numerical examples are given to demonstrate the accuracy and efficiency of the present algorithm.
Robust f‐x projection filtering for simultaneous random and erratic seismic noise attenuation

Linear prediction filters are an effective tool for reducing random noise from seismic records. Unfortunately, the ability of prediction filters to enhance seismic records deteriorates when the data are contaminated by erratic noise. Erratic noise in this article designates non‐Gaussian noise that consists of large isolated events with known or unknown distribution. We propose a robust f‐x projection filtering scheme for simultaneous erratic noise and Gaussian random noise attenuation. Instead of adopting the ℓ2‐norm, as commonly used in the conventional design of f‐x filters, we utilize the hybrid ℓ1/ℓ2 ‐norm to penalize the energy of the additive noise. The estimation of the prediction error filter and the additive noise sequence are performed in an alternating fashion. First, the additive noise sequence is fixed, and the prediction error filter is estimated via the least‐squares solution of a system of linear equations. Then, the prediction error filter is fixed, and the additive noise sequence is estimated through a cost function containing a hybrid ℓ1/ℓ2 ‐norm that prevents erratic noise to influence the final solution. In other words, we proposed and designed a robust M‐estimate of a special autoregressive moving‐average model in the f‐x domain. Synthetic and field data examples are used to evaluate the performance of the proposed algorithm.
Reciprocity relation between photovoltaic quantum efficiency and electroluminescent emission of solar cells

Light emitting diodes LEDs and solar cells are important optoelectronic devices. Because of their complementary physical action, the transformation of electrical energy into light and transformation of radiation energy into electricity, one would intuitively expect a certain reciprocity between the theoretical laws that determine the physical action of both devices. In fact, a solar cell that has the theoretical maximum power conversion efficiency will also act as an LED with the maximum possible luminescence efficiency. This is because light absorption by the generation of electron-hole pairs is linked via the principle of detailed balance to the complementary action, emission of light by radiative recombination. This restriction of the solar cell concept to the basic physical processes of detailed balance between light absorption and radiative recombination makes the elegance of the Shockley-Queisser SQ approach1 for the calculation of the limiting efficiency of photovoltaic power conversion. Although a perfect solar cell would also be a perfect LED, in reality neither device exists. However, excellent devices that come relatively close to the respective ideal limits are to be found. It is interesting to note that high-efficiency silicon solar cells, i.e., those which approach the SQ radiative limit, can be used as LEDs with essentially the same design.2 These highly sophisticated devices achieve an external LED quantum efficiency EQELED 1%, where EQELED is defined as the ratio between the number of photons emitted from the surface of the sample and the number of recombining electron-hole pairs. In contrast, the photovoltaic EQEPV E of a solar cell is a spectral quantity defined as the ratio of collected charge carriers to the number of photons with energy E incident on the cell’s surface. EQELED 1% is a highly respectable value for silicon devices but small when compared to LEDs made from organic semiconductors3 with EQELED 15%. 4 In contrast, solar cells made from organic materials5 have power conversion efficiencies hardly exceeding 2% compared to 25% of the best silicon solar cell6 . Clearly, at a practical level, below the idealized SQ case, quality requirements for solar cells and LEDs diverge considerably. The present paper gives a detailed balance theory that embraces also less idealized solar cells and LEDs by adding the aspect of electronic transport to the SQ theory. The central result is a reciprocity theorem that relates the carrier collection properties of a solar cell to its spectral electroluminescence EL emission. This reciprocity approaches the SQ identity of an LED and a solar cell in the limit of infinite charge carrier mobility p and of an infinite nonradiative lifetime nr. An additional relation connects the open circuit voltage VOC of a solar cell and the external quantum efficiency EQELED for the same device operating as an LED.
A New Cost-Effective Wind Farm Structure with HVDC Link Preserving Technical Advantages of Advanced offshore Wind Farms

In this paper a review of common wind turbine systems and wind farm configurations with AC and DC links is presented first, and then a new structure based on HVDC local grid is proposed and compared to the existing structures to show its effectiveness with respect to the older ones. The most important feature of the new structure is its lower cost, while it preserves controllability of the most flexible configurations like DFIG-based wind farms or wind farms with PMSG generators and back-to-back converters. The other feature of the proposed structure is its high efficiency, which is due to the use of direct driven multi-pole synchronous generators. KeywordsWind farm structure, Cost effective wind turbine, Direct driven wind turbine-generator, HVDC transmission.
El Niño–Southern Oscillation–related principal interannual variability modes of early and late summer rainfall over East Asia in sea surface temperature‐driven atmospheric general circulation model simulations

[1] A large portion of interannual variability during early summer (May–June mean; hereinafter referred to as MJ) and late summer (July–August mean; hereinafter referred to as JA) rainfall over East Asia is dominated by El Nino–Southern Oscillation (ENSO) events. Four ENSO-related modes have been identified by using empirical orthogonal function (EOF) decomposition analysis on East Asian rainfall for the period 1980–1999, with EOF2 for MJ rainfall (hereinafter referred to as MJ-2; similar notations are used for other modes) corresponding to the developing phase of La Nina events, while MJ-3, JA-1, and JA-2 correspond to the decaying phase of El Nino events. The authors investigate the predictability of ENSO-related MJ and JA rainfall modes by analyzing the outputs of 12 atmospheric general circulation models (AGCMs) of the Atmospheric Model Intercomparison Project Phase II (AMIP II), which were run in an AGCM stand-alone mode and were forced by the monthly historical sea surface temperature (SST) from 1980 to 1999. The results show that although the climatological differences between MJ and JA rainfall are reasonably reproduced by most AGCMs, the four ENSO-related interannual variability modes of MJ and JA rainfall show different predictabilities. While both atmospheric circulation and precipitation anomalies associated with MJ-3 (the slow El Nino decaying mode) are reasonably reproduced by nearly all the models, the JA-1 (MJ-2) mode is only partly reproduced by about two thirds (half) of the AMIP II models. All models fail to reproduce the JA-2 mode. The relatively low skills in predicting both JA-1 and JA-2 modes are primarily due to the bias of the AMIP models in simulating both the intensity and the position of the western North Pacific anticyclone. The predictability of the JA-1 mode is slightly higher than that of JA-2, and the difference results from the stronger and longer persistence of SST anomaly (SSTA) forcing associated with the decaying ENSO events. The low skill of the MJ-2 prediction is due to the weak SSTA forcing associated with the developing phase of La Nina. The skills of the AMIP II models in predicting the leading interannual variability modes of East Asian summer rainfall do not depend on the horizontal resolutions of the models.