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Nutrition Bio Shield (NBS) supplement is a natural product that is processed from whole wheat grains. This study aims to determine its effects on depression, anxiety, stress and food craving in women with depression and obesity in a double-blind randomized clinical trial.

Fifty-six eligible clients with body mass index ≥ 25 and mild or moderate depression signed the informed consent form. They were randomly assigned to receive daily 5 g of NBS or placebo. The assessments included the depression, anxiety and stress-21 questionnaire, food craving questionnaire, visual analogue scale for appetite, precise anthropometric measurements and body composition analyses. The assessments were conducted at the baseline and repeated after four and eight weeks. One month after the study completion, the participants’ weight was assessed. The authors analyzed the data by independent sample t-test, repeated measures analysis of variance and multivariate analyses of covariance (MANCOVA).

At the baseline, no significant differences were observed between the groups regarding the main and demographic variables. After four weeks, stress reduced significantly in the NBS group (p = 0.04), and after eight weeks, anxiety (p = 0.02), stress (p = 0.008) and food craving (p = 0.05) reduced significantly in the NBS group compared with the placebo. After controlling for the demographic variables and baseline measurements, MANCOVA model revealed a significant effect of NBS in reducing anxiety (Eta-squared = 0.28; p = 0.001) and stress (Eta-squared = 0.19; p = 0.009). Fisher’s exact test showed no significant difference regarding side effects between NBS and placebo (p = 0.47).

NBS supplement is a patent and natural product that is processed from whole wheat grains. This product was efficient in reducing stress and anxiety after controlling for demographic variables and baseline measurements compared with the placebo and was safe.

Safety and productivity are key concerns in the construction projects. While safety looks to the construction workers need to work in a safe environment, productivity affects the project’s profitability and is of a paramount importance from the project owner’s view. The different perspective to the safety and productivity from these two major players in construction projects poses a potential for the conflict between the two. This problem can be fundamentally addressed by methods concurrently improving project safety and productivity. The paper aims to discuss this issue.

To this aim, a discrete event simulation (DES) based framework applicable was proposed for complex and hazardous operations. The utility of the framework was tested using a case study of an eight-story residential building in the north-east part of Tehran, Iran. The excavation and stabilization operation was identified as the most hazardous and critical operation in this case. The framework could improve safety and productivity of this operation by 38 and 4 percent, respectively.

This framework is a complement to the conventional construction project safety and productivity planning methods. Its main application is in complex and hazardous construction operations.

For the first time, a comprehensive framework for concurrently improving safety and productivity of an entire project was proposed in this research. DES was used as the main modeling tool in the framework to provide an ex-ante evaluation foundation applicable to a wide range of construction projects.

The purpose of the study presented in this paper is to assess determinants of financial innovations in infrastructure using a system‐of‐systems approach, and to demonstrate this approach in the context of the US highway transportation sector.

A system‐of‐systems approach is adopted for systemic assessment. Data obtained from a case‐based research approach and a survey deployed to the state Departments of Transportation in the US is utilized in parallel with a network analysis to explore the status quo, key players and interactions, and the drivers of financial innovations for infrastructure.

The findings include constructs regarding the players, practices, and activities and also a conceptual model relating to the drivers of financial innovations.

The model along with the constructs provides an analytical tool for understanding the dynamics of financial innovations. Such understanding would lead to expansion of the creation and diffusion of financial innovation practices in the highway transportation infrastructure globally.

The study presented in this paper is the first of its kind to identify the determinants of financial innovations in infrastructure based on a systemic approach.

The purpose of this paper is to explore the pathway toward operationalizing resilience in management of transportation infrastructure.

The research approach includes a comprehensive survey of the State Transportation Agencies (STA) in the USA. The information collected from the survey is analyzed using statistical analysis to explore the determinants of operationalizing resilience in transportation infrastructure management.

The results reveal that the current practices of STA need improvement in terms of pre-disaster vulnerability and exposure analysis as well as pre-disaster retrofit and betterment efforts. A pathway toward this end is identified with the major components being: funding availability, integration of efforts across different units, use of risk and vulnerability assessment approaches, and use of resilience indices.

The pathway, along with the other findings, enhances the understanding of the status quo, drivers, and barriers toward operationalizing resilience in transportation infrastructure management. Such an understanding is critical for infrastructure agencies to better adapt and enhance the resilience of their assets in response to various stressors such as the impacts of climate change as well as natural disasters.

The study presented in this paper is the first of its kind to identify the pathway toward operationalizing resilience in transportation infrastructure management.

Due to the growing demand for civil infrastructure, financial innovations are required to close the financing gap. However, a lack of theories has inhibited a complete understanding and, thus, creation and diffusion of financial innovation. A lack of theory about financial innovations in infrastructure is mainly due to the absence of a framework to conceptualize these innovations. A typology that enables comparison of financial systems and, hence, provide a framework to conceptualize financial innovations is missing in the existing literature. This paper defines innovation in the context of financing, funding and delivery of infrastructure projects and proposes a new typology for conceptualization of the loci and types of financial innovations in infrastructure. The loci of innovations are in risk mitigation, regulation, cash flow, contract, organizational, and capital sub-systems. Types of innovations are classified as either integrated or modular and either sustaining or disruptive. The typology was tested by mapping seven innovations created by the U. S. Federal Highway Administration and diffused into 232 transportation projects between 1994 and 2002. Qualitative comparative analysis was then used to evaluate the diffusion trends of financial innovations in the case studies and to demonstrate the capability of the proposed typology for facilitating theory building in the area of infrastructure financial innovations.

A key challenge found in additive manufacturing is the difficulty to produce components with replicable microstructure and mechanical performance in distinct orientations. This study aims to investigate the influence of build orientation on the fracture toughness of additively manufactured AlSi10Mg specimens.

The AlSi10Mg specimens were manufactured using the selective laser melting (SLM) technology. The fracture toughness was experimentally determined (under ASTM E399-09) using C(T) specimens manufactured in different orientations. The microstructure of the specimens was examined using metallography to determine the effects of grain orientation on fracture toughness.

The fracture toughness magnitude of manufactured specimens ranged between 36 and 50 MPam, which closely matched conventional bulk material and literature values regarding AlSi10Mg components. The C(T) specimens printed in the T-L orientation yielded the highest fracture toughness. The grain orientation and fracture toughness values confirm the anisotropic nature of SLM parts where the T-L-oriented specimen obtained the highest K_IC value. A clear interaction between the melt pool boundaries and micro-slipping during the loading application was observed.

The novelty of this paper consists in elucidating the relationship between grain orientation and fracture toughness of additively manufactured AlSi10Mg specimens because of the anisotropy generated by the different melting pool boundaries and orientations in SLM. The findings show that melt pool boundaries can behave as easier pathways for cracks to propagate and subsequently reduce the fracture toughness of specimens with cracks perpendicular to the build direction.

A construction project is complex and requires dynamic modelling of a range of factors that deters time performance because of uncertainty and varying operating conditions. In construction project systems, the system components are the interconnected stages, which are time-dependent. Within the project stages are the activities which are the subsystems of the system components, causing a challenge to the analysis of the complex system. The relationship of construction project time management (CTM) with the construction project time influencing factors (CTFs) and the adaptability of the time-varying system is a key part of project effectiveness. This study explores the relationship between CTM and CTF, including the potentials to add dynamical changes on every project stage.

This study proposed a dynamic Bayesian network (DBN) model to examine the relationship between CTM and CTF. The model investigates the time performance of a construction project that enhances decision-making. First, the paper establishes a model of probabilistic reasoning and directed acrylic graph (DAG). Second, the study tests the dynamic impact (IM) of CTM-CTF on the project stages over a specific time, including the adaptability of time performance during disruptive CTF events. In demonstrating the effectiveness of the model, the authors selected one-organisation-single-location road-improvement project as the case study. Next, the confirmation of the model internal validity relied on conditional probabilities and the project knowledge experts' selected from the case company.

The study produced structural dependencies of CTM and CTF with probability observations at each stage. A predictive time performance analysis of the model at different scenarios evaluates the adaptability of CTM during CTF uncertain events. The case demonstration of the model application shows that CTFs have effects on CTM strategy, creating the observations to help time performance restorations after disruptions.

Although the case company experts' panel confirms the internal validity of the results for managing time, the model used conditional probability table (CPT) and project state values from a project contract. A project-wide application then will require multi-case data and data-mining process for generating the CPTs.

The study developed a method for evaluating both quantitative and qualitative relationships between CTM and CTF, besides the knowledge to enhance CTM practice and research. In construction, the project team can use model observations to implement time performance restorations after a predictive or reactive disruption, which enhances decision-making.

The model used qualitative and qualitative data of a complex system to generate results, bounded by a range of probability distributions for CTM-CTF interconnections during time performance disruptions and restorations. The research explores the approach that can complement the mental CTM-CTF modeling of the project team. The CTM-CTF relationship model developed in this research is fundamental knowledge for future research, besides the valuable insight into CTF influence on CTM.

The purpose of this paper is to use Delphi technique to assess the applicability of coupling various project delivery methods (PDMs) and contract strategies (CSs) for delivery of public building projects (PBP) in Ethiopia.

To achieve the objective of this research, an online Delphi study was designed, conducted and analyzed using various statistical procedures. Results were compared to CII’s project delivery and CS (PDCS) tool, a US-based PDM selection tool.

This study converged in the third round signifying a consensus on the importance of design–build and construction manager at risk as alternatives to design–bid–build. In addition, “controlling schedule growth” was deemed to be a major performance measure that needs to be considered for PBP in Ethiopia, a result consistent with the outcomes from CII’s PDCS tool.

Among existing studies, none to the best of the authors’ knowledge has focused on a holistic approach to identify the most appropriate pairings of PDMs and CSs for PBP which was critically needed due to the magnitude and high stakes of these projects. This research is a steppingstone toward gaining knowledge on how to approach these types of projects in fast-growing environments thirsty for new building projects such as in Ethiopia.