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This study aims to study the transverse vibration and instabilities of the fluid-conveying single-walled carbon nanotubes (CNTs). To this purpose, the Euler–Bernoulli beam model is used. Also, the surface effects, small-size effects of the both fluid and structure and two different elastic mediums viscoelastic and Pasternak elastic are investigated.

To consider the nano-scale for the CNT, the strain-inertia gradient theory is used and to solve the governing equation of motion for the system, the Galerkin’s method is used. The effect of the flow velocity, aspect ratio, characteristic lengths of the mentioned theory, effects of Knudsen number and effects of the Winkler, the Pasternak elastic and the viscoelastic medium on the frequencies and stabilities of the system are studied. The effects of the above parameters on the vibrational behavior are investigated both separately and simultaneously.

The results show that the critical flow velocity value is increased as the aspect ratio, characteristic lengths, Winkler modulus, shear and damping factors increase. Also, the critical flow velocity is increased by considering the surface effects. In addition, the consequence of increase in the nano-flow-size effects (Knudsen number) is decreasing the critical flow velocity. Moreover, it can be observed that the effect of the shear factor on increasing the critical flow velocity is different from the rest of parameters.

Use of Timoshenko and modified couple stress theories and taking into account Von-Karman expressions for investigating the nonlinear vibrations of triple-walled CNTs buried within Pasternak foundation.

The purpose of this paper is to investigate nonlinear vibrations of triple-walled carbon nanotubes buried within Pasternak foundation carrying viscous fluids.

Considering the geometry of nanotubes, the governing equations were initially derived using Timoshenko and modified couple stress theories and by taking into account Von-Karman expressions. Then, by determining boundary conditions, type of fluid motion, Knudsen number and, ultimately, fluid viscosity, the principal equation was solved using differential quadrature method, and linear and nonlinear nanotube frequencies were calculated.

The results indicated that natural frequency is decreased as the fluid velocity and aspect ratio increase. Moreover, as the aspect ratio is increased, the results converge for simple and fixed support boundary conditions, and the ratio of nonlinear to linear frequencies approaches. Natural frequency of vibrations and critical velocity increase as Pasternak coefficient and characteristic length increase. As indicated by the results, by assuming a non-uniform velocity for the fluid and a slip boundary condition at Kn = 0.05, reductions of 10.714 and 28.714% were observed in the critical velocity, respectively. Moreover, the ratio of nonlinear to linear base frequencies decreases as the Winkler and Pasternak coefficients, maximum deflection of the first wall and characteristic length are increased in couple stress theory.

This paper is a numerical investigation of nonlinear vibration analysis for triple-walled carbon nanotubes conveying viscous fluid.

Normal-weight obesity (NWO), characterized by normal body mass index (BMI) but excess body fat, is a potential contributor to chronic diseases. This study aims to assess the relationship between this phenomenon and some metabolic factors in a population of Iranian employees.

This cross-sectional study was conducted on Iranian employees from the baseline data of Employees Health Cohort Study, Shiraz, Iran. Anthropometric measures, including weight, height, waist circumference and percentage of body fat, were obtained from the cohort database. The participants were divided into three groups: healthy, normal-weight obese and overweight/obese. Metabolic variables including blood pressure, fasting blood sugar, lipid profile, liver function enzymes and metabolic syndrome were assessed in relation to the study groups.

A total of 985 participants aged 25–64 years were included. Males with NWO had significantly higher alanine aminotransferase (ALT) levels compared to the healthy group in the fully adjusted model. Also, high-density lipoprotein (HDL) was significantly lower among females with overweight/obesity than healthy group when adjusted for age and energy intake. Furthermore, after adjusting for age and energy intake, both genders in the overweight/obese group showed significantly elevated systolic and diastolic blood pressure, while this was not observed for the NWO group. Lastly, metabolic syndrome was more prevalent in NWO as well as overweight/obesity.

These findings further encourage identification of excess body fat, even in normal-weight individuals, to prevent chronic metabolic diseases. Special attention should be paid to subgroups with sedentary occupations, as they may be at increased risk for NWO-related health issues.

Recently, reverse logistics (RL) has become more prominent due to growing environmental concerns, social responsibility, competitive advantages and high efficiency by customers because of expansion of product selection and shorter product life cycle. However, effective implementation of RL results in some direct advantages, the most important of which is winning customer satisfaction that is vital to a firm's success. Therefore, paying attention to customer feedback in supply chain (SC) and logistics processes has recently increased, so manufacturers have decided to transform their RL into customer-centric RL. Hence, this paper aims to identify the features of a mobile phone which affect consumers’ purchasing behavior and to analyze the causality and prominence relations among them that can help decision-makers, policy planners and managers of organizations to develop a framework for customer-centric RL. These features are studied based on analysis of product review sites. This paper's special focus is on social media (SM) data (Twitter) in an attempt to help the decision-making process in RL through a big data analysis approach.

This paper deals with identifying mobile phone features that affect consumer's mobile phone purchasing decisions. Using the DEMATEL approach and using experts' insights, a cause and effect relationship diagram was generated through which the effect of features was analyzed.

Eighteen features were categorized in terms of cause and effect, and the interrelationships of features were also analyzed. The threshold value is calculated as 0.023, and the values lower than that were eliminated to obtain the digraph. F6 (camera), F13 (price) and F5 (chip) are the most prominent features based on their prominent score. It was also found that the F5 (chip) has the highest driving power (1.228) and acts as a causal feature to influence other features.

The focus of this article is on SM data (Twitter), so that experts can understand the interaction between mobile phone features that affect consumer's decision on mobile phone purchasing by using the results. This study investigates the degree of influence of features on each other and categorizes the features into cause and effect groups. This study is also intended to help organizational decision-makers move toward a reverse customer SC.

This study aims to investigate the complexity factors associated with BIM-enabled projects. BIM has been widely promoted as a potential solution to numerous challenges that hinder productivity in construction projects, owing to its numerous advantages. Nevertheless, it is crucial to acknowledge the heightened complexity it introduces to project workflows, stakeholder coordination and information management.

This study employs the Delphi method to identify and extract complexity factors specific to BIM-enabled projects. A panel of industry and academic experts is engaged to discern and prioritise these factors based on their expertise and knowledge.

The study reveals a comprehensive list of 34 complexity factors that significantly impact BIM-enabled projects. Among the most influential factors are laws and regulations, variety of procurement methods, technical capabilities of teams, project manager competence, information transfer capacity, range of project deliverables and diversity of project locations. The findings highlight the importance of these factors and emphasise the need for proactive and adaptive management to navigate their impact and achieve positive project outcomes.

This study introduces the DEBACCS framework, a metric-based model designed to understand and evaluate complexity within BIM-enabled projects. DEBACCS stands for seven key dimensions: diversity, emergence, belonging, autonomy, connectivity, context and size. These dimensions represent essential aspects for gauging project complexity. By applying the concept of complexity from project management to BIM, the study offers valuable insights for practitioners and researchers. It provides a unique perspective on the challenges and considerations associated with implementing and managing BIM in construction projects. The findings have practical value for practitioners, enabling them to better understand and address the implications of complexity in BIM-enabled projects, ultimately leading to improved project outcomes.

Process orientation, which involves managing organizations based on horizontal end-to-end processes, has been shown to increase the quality of products/services, decrease costs, and make business functions faster and more reliable. However, current process orientation methods are radical and destructive, leading to failure in most cases. The purpose of this paper is to present a non-destructive method of implementation.

Supporting by literature review and two case studies, this paper presents a new process orientation methodology named as Business Process Rearrangement and Renaming (BPR2).

The existing process management methodologies mostly aim to provide a comprehensive view on all of the main activities involved in process management and strategic alignment, with insignificant focus on mitigating the risk of failure in their redesign stage. In contrast, every step in the methodology presented in this paper, including the design phase, aim to reduce the risk of failure.

Name is the most communicated characteristic of a department; however, this most communicated characteristic of the departments has always been the most neglected characteristic as well. For the first time in the literature, this paper provides a description on how to use the power of departmental names to promote the main customer values expected from each department.

Added to a detailed guideline on the new process design and process names, this paper presents a new marketing mix model with a process-oriented delegation of authority view, which may be of interest to the marketing researchers and practitioners.

The purpose of this paper is to present a comprehensive IT tools based methodology (CITM) for BPR projects in order to facilitate implementing BPR project by considering relevant IT tools in each phase of the methodology, both approaches (clean slate and analysis of existing processes on details), and failure analysis for diminishing the risk of the BPR project.

In today's world, corporations need to adjust with the environment changes in order to stay stable in facing market changes. This paper presents a comprehensive methodology in which by considering different aspects for implementing BPR project including IT tools, both BPR approaches, and failure analysis can facilitate BPR project. The proposed methodology's validation was tested by getting the 50 experts' ideas in each phase of the methodology and in a case study at organization and planning department in an IT company.

The structured methodology developed in this paper contain the two debatable approaches of BPR (clean slate approach as well as analysis of existing processes on details approach). This methodology enables the organization to derive a proper way to implement BPR project in order to its situation. In every phase of this methodology, based on their applications in each specific phase, required softwares and IT tools are proposed. The applicability of methodology was analyzed and confirmed thoroughly by the 50 BPR experts and in a case study at an IT company.

This study provides a comprehensive methodology to consider the gap of the BPR methodologies in their comprehensiveness, use IT tools and softwares and lower the risk of the BPR implementation. In developing the CITM the challenging approaches are considered, the related softwares and IT tools are proposed and failure analysis is done and considered in each phase of the CITM in order to decrease the risk of its implementation.

The present research aims to compare information-seeking behaviour of ordinary and elite saffron farmers in Iran.

The study sample consisted of 375 saffron farmers (295 ordinary and 80 elite saffron farmers) selected using the cluster sampling method. Data were collected by a kind of researcher-made questionnaire.

The results showed saffron onion, pesticides, cultivators and farmland worker were the main components of saffron farmers’ information-seeking behaviour of both groups. The most important sources of information for both groups included reference to past experience, neighbouring saffron farmers, contact with informants and other family members. The main criteria which affected the behaviour of the two groups on the use of information sources were provided information in local language, native people, clear and intelligible information and low cost. Farmers were also confronted with common problems such as lack of attention to the needs of farmers and insufficient number of technical experts. It was also found that there was no significant relationship between information-seeking behaviour of elite and ordinary saffron farmers and their performance.

Saffron is one of the most important agricultural export products in Iran, and this paper is the first research in this subject. The results can help develop information-seeking behaviour of farmers.

The purpose of this paper is to propose a practical framework for community participation in post-disaster resettlement.

The proposed framework has been tested in two model villages (MVs) of Punjab, Pakistan. Primary data were collected through household surveys, focus group discussions and expert interviews. A survey with 67 households was conducted for obtaining qualitative data regarding community participation in post-disaster resettlement.

The first MV (Ittehad MV) was resettled by the local NGO, and the second (Basti Meera Mullan) by the provincial government. Results indicate that community participation significantly varied in selected MVs. NGOs have achieved positive realizations due to effective community involvement in resettlement efforts, whereas the governmental approach lacked in proactive community participation.

This framework can be used for other disasters, by refining and incorporating disaster relevant components. This research will be highly useful for disaster managers, private developers and NGOs engaged in resettling disaster-affected population.

The proposed framework can help disaster-affected communities to resettle according to their terms. This can only be attained if affected communities will proactively participate in resettlement planning process.

This original framework is exclusively designed to attain sustainability for post-disaster settlement through community participation.

Expert systems are computer-based systems that mimic the logical processes of human experts or organizations to give advice in a specific domain of knowledge. Fuzzy expert systems use fuzzy logic to handle uncertainties generated by imprecise, incomplete and/or vague information. The purpose of this paper is to present a comprehensive review of the methods and applications in fuzzy expert systems.

The authors have carefully reviewed 281 journal publications and 149 conference proceedings published over the past 37 years since 1982. The authors grouped the journal publications and conference proceedings separately accordingly to the methods, application domains, tools and inference systems.

The authors have synthesized the findings and proposed useful suggestions for future research directions. The authors show that the most common use of fuzzy expert systems is in the medical field.

Fuzzy logic can be used to manage uncertainty in expert systems and solve problems that cannot be solved effectively with conventional methods. In this study, the authors present a comprehensive review of the methods and applications in fuzzy expert systems which could be useful for practicing managers developing expert systems under uncertainty.