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With the remarkable capability to reach the public instantly, social media has become integral in sharing scholarly articles to measure public response. Since spamming by bots on social media can steer the conversation and present a false public interest in given research, affecting policies impacting the public’s lives in the real world, this topic warrants critical study and attention.

We used the Altmetric dataset in combination with data collected through the Twitter Application Programming Interface (API) and the Botometer API. We combined the data into an extensive dataset with academic articles, several features from the article and a label indicating whether the article had excessive bot activity on Twitter or not. We analyzed the data to see the possibility of bot activity based on different characteristics of the article. We also trained machine-learning models using this dataset to identify possible bot activity in any given article.

Our machine-learning models were capable of identifying possible bot activity in any academic article with an accuracy of 0.70. We also found that articles related to “Health and Human Science” are more prone to bot activity compared to other research areas. Without arguing the maliciousness of the bot activity, our work presents a tool to identify the presence of bot activity in the dissemination of an academic article and creates a baseline for future research in this direction.

We considered the features available from the Altmetric dataset. It can be exciting research to extract additional features about the authors of the article, the location of the publication, international collaboration and other demographic features of the authors to see the relation of these features with bot activity.

Since public interest in scientific findings can shape the decisions of policymakers, it is essential to identify the possibility of bot activity in the dissemination of any given scholarly article. Without arguing whether the social bots are good or bad and without arguing about the validity of a scholarly article, our work proposes a tool to interpret the public interest in an article by identifying the possibility of bot activity toward an article. This work publishes the models and data generated through the study and provides a benchmark and guideline for future works in this direction.

While the majority of the existing research focuses on identifying and preventing bot activity on social media, our work is novel in predicting the possibility of bot activity in the dissemination of an academic article using Altmetric metadata for the article. Little work has been performed in this specific area, and the models developed from our research give policymakers and the public a tool to interpret and understand the public interest in a scientific publication with appropriate caution.

The purpose of this paper is to explore ISO 10001:2007 in planning, designing and developing a customer satisfaction promise (CSP) intended for inpatients care.

Through meetings and interviews with research participants, who included a program manager, unit managers and registered nurses, information about potential promises and their implementation was obtained and analyzed. A number of promises were drafted and one was finally selected to be developed as a CSP.

Applying the standard required adaptation and novel interpretation. Additionally, ISO 10002:2004 (Clause 7) was used to design the feedback handling activities. A promise initially chosen for development turned out to be difficult to implement, experience that helped in selecting and developing the final promise. Research participants found the ISO 10001-based method useful and comprehensible.

This paper presents a specific health care example of how to adapt a standard’s guideline in establishing customer promises. The authors show how a promise can be used in alleviating an existing issue (i.e. communication between carers and patients). The learning can be beneficial in various health care settings.

To the knowledge, this paper shows the first example of applying ISO 10001:2007 in a health care case. A few activities suggested by the standard are further detailed, and a new activity is introduced. The integrated use of ISO 10001:2007 and 10002:2004 is presented and how one can be “augmented” by the other is demonstrated.

The sustainability of the structures is not only a technical goal, but also a matter of social and environmental values. This requires the researchers to use very rigid, highly durable and corrosion-resistant composite structures in order to achieve the technical, environmental and social goals. The purpose of this paper is to present an original work on reducing the interfacial stresses of bonded structures with fibre-reinforced polymers (FRP) plates based on new taper design.

In this proposed concept, the effect of combined taper is investigated on reducing interfacial stresses, attempting to enhance the structure performance and address the debonding problem that comes with reinforcing techniques. This research is carried out by using finite element analysis, incorporating many new parameters.

As a result, a new solution is discovered that combined taper in both adhesive layer and composite laminate, which significantly reduces the interfacial stresses at the end of the FRP plate. Additionally, a parametric study is carried out in order to determine the optimal configurations of taper dimensions as well as other parameters that influence the stress concentration distribution at the edge of the adherends.

This new design regarding the reduction of interfacial stresses will help in increasing the lifespan of damaged structures reinforced by FRP composites, preserving thus its technical, historical and social values.

The paper uses straight, concave and convex fillets with inverse taper as a new design solution with new parameters including thermo-mechanical loads and pre-stressed FRP plate with multi-layer, fibre orientation and shear-lag effects.

The problem of poverty in the Muslim world has been posing multi-faceted challenges to the life of individuals and the relations of people. Although this problem has been gaining scholarly attention and raised in relation to various issues ranging from social injustice, rampant corruption, societal instability, wide social polarization and insurgent movements that affect the regional peace and stability at large, neither effective economic mechanism proposed nor implemented to address the problem effectively. In this regard, it is also important to appreciate the recent initiations in the field of Islamic economics to present an optional view to the existing and alien economic models in the Muslim world. Therefore, the purpose of this study is to fill up this research gap by proposing a model of mobilizing funds through the global cash-waqf institution.

The study adopts content analysis to construct this global cash waqf model for poverty alleviation in Muslim countries.

The “global cash-waqf model” was proposed as an alternative that could be implemented and used to overcome the poverty matter in Muslim countries. It is assumed that the model will facilitate the fund mobilization among Muslim countries, which in return is going to assure full distribution and redistribution of wealth to eradicate the poverty in the Muslim world. The model was structured with a global vision in both the collection side and the distribution side.

The model will facilitate the fund’s mobilization among Muslim countries, which in return achieves an Islamic goal of distribution and redistribution of wealth to assure the well-being of all humanities in the society.