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The research approach is based on the concept that a failure event is rarely random and is often generated by a chain of previous events connected by a sort of domino effect. Thus, the purpose of this study is the optimal selection of the components to predictively maintain on the basis of their failure probability, under budget and time constraints.

Assets maintenance is a major challenge for any process industry. Thanks to the development of Big Data Analytics techniques and tools, data produced by such systems can be analyzed in order to predict their behavior. Considering the asset as a social system composed of several interacting components, in this work, a framework is developed to identify the relationships between component failures and to avoid them through the predictive replacement of critical ones: such relationships are identified through the Association Rule Mining (ARM), while their interaction is studied through the Social Network Analysis (SNA).

A case example of a process industry is presented to explain and test the proposed model and to discuss its applicability. The proposed framework provides an approach to expand upon previous work in the areas of prediction of fault events and monitoring strategy of critical components.

The novel combined adoption of ARM and SNA is proposed to identify the hidden interaction among events and to define the nature of such interactions and communities of nodes in order to analyze local and global paths and define the most influential entities.

The purpose of this study is twofold; first, it aims to understand the underlying dynamics of the organizations behind the terrorist attacks, and second, to investigate the dynamics of terrorist organizations in relation to one another to detect whether there exist shared patterns of terror between different organizations.

To achieve this purpose, the researcher proposes a computational algorithm that extracts data from global terrorism database (GTD); calculates similarity indices between different terrorist groups; generates a network data file from the calculated indices; and apply network analysis techniques to the extracted data. The proposed algorithm includes applying SQL database codes for data extraction, building a tailored C# computer software to calculate similarity indices and generate similarity networks and using GEPHI software to visualize the generated network and calculate network metrics and measures.

Applying the proposed algorithm to Egypt, the results reveal different shared patterns of terror among different terrorist groups. This helps us in creating a terror landscape for terrorist groups playing in Egypt.

The importance of the study lies in that it proposes a new algorithm that combines network analysis with other data-manipulation techniques to generate a network of similar terror groups.

This study aims to compare online review characteristics, review length and review sentiment score between “organic” and “regular” food products. In addition, variations in the consumer sentiment scores across the review lengths are studied.

This study fits into the descriptive research design. From Amazon’s website, the consumer product reviews are scrapped. Using the text analytical package “sentiment” in R-Studio, we computed the sentiment scores and counted the number of words in each review. The mean sentiment scores and mean review length are compared for regular and organic products using one-way ANOVA. Sentiment score variation across review length and product class is studied through factorial ANOVA. Sample reviews of ghee and honey are used to test the hypotheses.

The review length shows a significant difference between the regular and organic products. The mean number of words in the regular products reviews is significantly lower than the mean number of words in the organic product reviews. The regular products’ mean sentiment score is significantly lower than the mean sentiment score of organic products. The mean sentiment scores are not consistent between ghee and honey. Sentiment scores are better for organic honey and regular ghee products. For regular ghee products, longer reviews result in lower sentiment scores. For regular and organic versions of honey, longer reviews are associated with better sentiment scores.

This study did not include the helpfulness of a review and the demographic data of the reviewers.

Sentiment scores’ variations across the regular and organic and product categories such as ghee and honey give a comprehensive feedback to the firms. It also indirectly communicates a brand’s evaluation by the consumers and the performance feedback for an upward extension like the organic category.

Studies on organic category give feedback for environment-friendly products and consumer attitude shift towards safer products.

Very limited studies have reported the upward line extensions. The authors study the upward line extension organic and associated sentiment scores variation. The role of review length and its systematic influence on the sentiment scores, variations in the review due to the product nature (organic/regular) are unique contributions of this study.

The purpose of this paper is to elaborate the significance of safeguards in digital ecosystems and their role in generating trust among participants. This paper argues that the right mix and number of safeguards are crucial for an ecosystem’s growth and success. It offers ecosystem orchestrators concrete guidelines for how to implement and monitor safeguards.

This research is based on both consulting experience and publicly available information on several digital ecosystems.

This research conceptualizes safeguards as precautionary mechanisms that mandate or promote desirable behavior in an effort to engender trust among ecosystem participants. Safeguards can take various forms, including passwords, escrow, user privacy controls, ratings and reviews and policies and contracts. Striking the right balance of safeguards – neither too few nor too many – is crucial for ecosystem orchestrators. This paper identifies the factors that determine the optimal mix of safeguards, including the power asymmetry between sellers and buyers, the sophistication of participants, the nature of transactions, the cost of negative outcomes and the cost-benefit tradeoff.

To the best of the authors’ knowledge, this study is one of the first to illuminate the relationship between safeguards and trust in the context of digital ecosystem. It is also one of the few attempts to provide managerial guidance for ecosystem designers trying to structure their platform for trust.

The purpose of this research is to discover equipment losses and assess the accomplishment of overall equipment effectiveness (OEE) values.

Industries specialized in die shops often have issues regarding their efficiencies, conferring to statistics further production line department procedure for various machines frequently suffered restrictions owing to excessive downtime and speed losses in machines thus, reducing their effectiveness and efficiency. OEE is a means of determining how effective a piece of equipment is when in working condition. Calculation of OEE finds the heart of the issue and the root cause for the underlying problem.

The dimensional outcomes suggest that the average machine effectiveness has not attained the norm of >85%, but there is still room for progression.

One recommended procedure to reduce losses is to keep the actual pace of operation and downtime of equipment constant. Many such suggestions are provided to reduce the losses.

Polymer laser powder bed fusion (PBF-LB/P) is an additive manufacturing technology that is sustainable due to the possibility of recycling the powder multiple times and allowing the fabrication of gears without the aid of support structures and subsequent assembly. However, there are constraints in the process that negatively affect its adoption compared to other additive technologies such as material extrusion to produce gears. This study aims to demonstrate that it is possible to overcome the problems due to the physics of the process to produce accurate mechanism.

Technological aspects such as orientation, wheel-shaft thicknesses and degree of powder recycling were examined. Furthermore, the evolving tooth profile was considered as a design parameter to provide a manufacturability map of gear-based mechanisms.

Results show that there are some differences in the functioning of the gear depending on the type of powder used, 100% virgin or 50% virgin and 50% recycled for five cycles. The application of a groove on a gear produced with 100% virgin powder allows the mechanism to be easily unlocked regardless of the orientation and wheel-shaft thicknesses. The application of a specific evolutionary profile independent of the diameter of the reference circle on vertically oriented gears guarantees rotation continuity while preserving the functionality of the assembled mechanism.

In the literature, there are various studies on material aging and reuse in the PBF-LB/P process, mainly focused on the powder deterioration mechanism, powder fluidity, microstructure and mechanical properties of the parts and process parameters. This study, instead, was focused on the functioning of gears, which represent one of the applications in which this technology can have great success, by analyzing the two main effects that can compromise it: recycled powder and vertical orientation during construction.

Parental feeding practice (PFP) plays an important role in child’s eating behavior and weight status, but less information is available about its role in the Thai family setting. The purpose of this paper is to examine the influence of PFP on child’s gender and body mass index (BMI).

Participants included 227 parents-child dyads from the suburban area of Nakhon Pathom province, Thailand. Children aged 9-12 years and parents who were either child’s mother, father or grandfather/grandmother were enrolled in the study. Body weight, height, waist circumference and body fat were measured in all children. Eating behavior of each child was assessed by using child’s eating questionnaire. Parents also provided their feeding practices in child feeding questionnaires. Information on household food security was also obtained from children’s parents.

There was significant difference in eating behaviors and home environment between child’s genders. For child’s eating behavior, mean total eating scores of girls were significantly greater (p=0.002) than that of boys and that the inappropriate home environment was more found in families of boys than girls. Regarding feeding practice, parents used more food restriction (p=0.008) and monitoring on child’s eating (p=0.042) in girls than boys. Parents put more pressure to eat on the normal weight than obese children (p=0.001). Regression analysis revealed that, apart from parental BMI and household income, PFPs have a significant impact (15.6 percent explained variance) on child’s BMI.

This study highlights the importance of being aware of child’s gender and weight status when feeding practices were provided to them. Nutrition education for parents should take account for parents’ perceptions and concerns as well as the modification of feeding practices to improve children’s eating behaviors.

The purpose of this paper is to examine the effect of mindfulness practice on health behaviors and quality of life (QOL) among hypertensive patients.

A quasi-experimental research was designed by before, after and a follow-up phase (i.e. on the 0th, 6th and 12th weeks). Two primary health care units (PCU) were selected as control and experiment groups. Samples included patients 35–59 years old who had been diagnosed with stage I hypertension. Both groups received treatment according to standard hypertension guidelines. The experimental group was added as a drill for the purpose of a mindfulness-based health education (MBHE) practice that would emphasize behavior skills (in diet, exercise and mental function) and instill a feeling of adaptation to everyday life.

The total mean score of the prevention and promotional hypertension behaviors (PPHB), QOL, perceived in mindfulness (MF) and self-efficacy (SE) in the experiment group showed a significant statistical difference when compared to the control group in the 6th week in PPHB and SE (p<0.001), QOL and MF (p=0.001). Similar results were found in the 12th week in PPHB, QOL, SE (p<0.001) and MF (p=0.023), respectively.

However, finished implementation in experiment group, during the follow-up phase on the 12th week, ten participants in the control group were excluded (Figure 1). It may be no active intervention or as usual in the control group. Thus, the authors controlled missing data using intention-to-treat analysis comparison and the data distribution was successfully tested by a normality plot before the use of statistical data. Based on the results of this study, the following recommendations can be made: patients should practice in mindfulness in lifestyle modification continued for intensive skill practice over the long term in order to promote sustainability in behavior and in QOL.

Mindfulness trainer should drill and faith in the value of mindfulness corporation owner with patients learning all of the times; and for health practitioner, it should add MBHE for patients.

Education institution should add mindfulness in educational programs all of graduates.

The mindfulness practice-based health education training should be in counterpart with modern medicine in order to promote sound health behaviors and an improved QOL for stage I hypertensive patients and to forestall cardiovascular and blood-pressure diseases.